diff --git a/.gitignore b/.gitignore index 46b558f19..1325e5cb1 100644 --- a/.gitignore +++ b/.gitignore @@ -7,6 +7,7 @@ pyvale-env/ .venv/ .pytest_cache/ +temp/ # Output files *.npy @@ -19,9 +20,11 @@ pyvale-env/ *.blend *.csv *.json +*.bmp pyvale-output/ pyvale-input/ test-output/ +render-fails/ test-input/ # MOOSE / gmsh @@ -32,10 +35,13 @@ test-input/ # Keep these as they are used for examples !src/pyvale/data/*.tiff !src/pyvale/data/*.e +!src/pyvale/data/**/ +!src/pyvale/data/** !reports/images/*.png !reports/images/*.svg !images/*.png !images/*.svg +!images/*.yaml !docs/source/_static/*.png # Keep these as they are gold output for regression tests @@ -50,6 +56,8 @@ test-input/ !tests/dataio/txt_gold/*.npy !tests/blender/2D_gold/*.npy !tests/blender/3D_gold/*.npy +!tests/render/gold_riley/*.npy +!tests/render/gold_blender/*.npy # Image deformation test cases *.pkl @@ -57,6 +65,7 @@ test-input/ imdefcase*_*/ deformed_images/ src/deformed_images/ +src/pyvale/examples/render/out-riley-py # Cython diagnostics src/pyvale/cython/*.html @@ -69,11 +78,14 @@ src/pyvale/cython/*.html # restructured text files for API documentation. pyvale.rst pyvale.*.rst +!docs/source/pyvale.render.uvtools.rst -# files generated by sphinx-gallery extension -docs/source/examples/*/ -# keep the gallery layouts +# Files generated by sphinx-gallery. Keep the hand-written navigation files. +docs/source/examples/** +!docs/source/examples/examples.rst !docs/source/examples/examples_*.rst +docs/source/sg_execution_times.rst +docs/source/sg_execution_times.rst # doxygen folder generated when compiling docs docs/source/doxygen @@ -259,10 +271,17 @@ cpp/Makefile #.idea/ -# files generated by sphinx-gallery extension -docs/source/examples/ - # doxygen folder generated when compiling docs docs/source/doxygen .DS_Store + +# Legacy temporary output from strain tests. +/tests/strain/test/ + +# Example scratch output written relative to the example source directories +# (sphinx-gallery and manual example runs); never commit these. +src/pyvale/examples/**/pyvale-output/ +src/pyvale/examples/**/out-riley-py/ +src/pyvale/examples/**/deformed_images/ +src/pyvale/examples/**/tmp_dic/ diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index f105b3a0b..0db3213b6 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -80,7 +80,7 @@ git switch -c branchname ### Developer Guidance -Much of Pyvale is written in Python. See our [Pyvale Developer Guide](https://github.com/Computer-Aided-Validation-Laboratory/pyvale/blob/main/designspec/README.md) for guidance on how to write Python code that best aligns with Pyvale's code values. +Much of Pyvale is written in Python. See our [Pyvale Developer Guide](https://github.com/Computer-Aided-Validation-Laboratory/pyvale/blob/main/dev/README.md) for guidance on how to write Python code that best aligns with Pyvale's code values. ### Docstrings diff --git a/dev/ABBREVIATIONS.md b/dev/ABBREVIATIONS.md new file mode 100644 index 000000000..3b5c1a0a6 --- /dev/null +++ b/dev/ABBREVIATIONS.md @@ -0,0 +1,91 @@ +# Pyvale Common Abbreviations + +A glossary of abbreviations used across the `pyvale` source code, grouped by +usage. Keep new abbreviations consistent with these forms where possible. + +## Loop Iterators + +Double-letter iterators are the numpy-style convention sanctioned in +`dev/README.md`. The letters hint at what is being iterated over: + +- `ii`, `jj`, `kk`, `ll`: generic first, second, third, fourth loop indices; + `kk` is also the key half of key/value pairs (`for kk, vv in ...`) +- `vv`: value half of key/value pairs (`for kk, vv in sens_vars`) +- `mm`: mapper/key half of function-table pairs (`for kk, mm in sens_funcs`) +- `ff`: frame index (`for ff in range(num_frames)`) +- `ee`: element index (`for ee in range(elem_coords.shape[0])`) +- `ss`: sensor or set entry (`for ss in sens_data_dict`); note this collides + with exodus *side sets* terminology, so prefer it only for sensors +- `bb`: element-variable block tuples (`(field, block)` pairs) +- `pp`: process/frame record dictionaries in parallel loading loops +- `dd`, `tt`, `nn`: occasional data/time/node indices in local scopes + +## Sensors & Simulation + +- `sens`: sensor(s); the most common abbreviation in the codebase + (`sens_data`, `SensDesc`, `sens_pos`) +- `sim`: simulation (`SimData`, `sim_case_*`, `SimLoaderByTime`) +- `exp`: experiment or experimental data (`ExpData`, `ExpLoadOpts`, + `expsim`) +- `disp`: displacement, never display (`disp_x`, `field_disp_keys`) +- `coords`: nodal coordinates, shape `(nodes, spatial_dims)` +- `dims`: dimensionality or the simulation-dimension dictionary + (`get_sim_dims`); also `num_spat_dims` +- `temp`: temperature in thermomechanical simulations, but temporary in + `temp_mask`/`temp_dir`; ambiguous, prefer spelling out one of the two in + new code +- `calc`: calculate (`calc_first_surface_metric`) +- `gen`: generator (`AnalyticSimDataGen`, `gen_gold_measurements`) +- `ref`: reference, usually the undeformed reference image/frame/config +- `seed`, `rng`: random-number seed and `np.random.default_rng` generator +- `glob`: exodus *global* variables (`glob_vars`), alongside `node_vars`, + `elem_vars`, and `side_sets` + +## Cameras & Rendering + +- `cam`: camera; `cam0`/`cam1` are stereo camera pairs +- `roi`: region of interest (`roi_cent_world`) +- `px`: pixel (`mm_per_px`); spelled `pixels_` in field names + (`pixels_num`, `pixels_size`, `pixels_count`) +- `leng`: length (`leng_per_px`, field-of-view extents) +- `pos`: position (`pos_world`) +- `rot`: rotation, normally a scipy `Rotation` (`rot_world`) +- `fov`: field of view (`field_of_view`) +- `psf`: point-spread function (`EPSFType`, `GaussianPSF`) +- `trans`: transformation (`trans_mat`, `tensor_trans`); the `mat` fragment + appears only inside `trans_mat` - materials are always spelled out +- `sub_sample` vs `subsample`: historical inconsistency - the 3D `Camera` + uses `sub_sample`, while `Camera2D` and `PxInt2DOpts` use `subsample` + +## DIC & Images + +- `dic`: digital image correlation (`pyvale.dic`, `DIC2D`) +- `img`/`image`: images; field names spell out `image` +- `mask`: validity/specimen mask applied to image pixels + +## Data Structures & Options + +- `opts`: options dataclass instances (`ImageDefOpts`, `VisOpts*`, + `SimLoadOpts`) +- `num`: number-of counter prefix (`num_frames`, `num_spat_dims`) +- `arr`: array +- `err`: sensor error models (`ErrChain`, error calculators); raised + exceptions use `error`/`exception` instead +- `chain`: error-model chain applied to synthetic sensor data (`err_chain`, + `set_error_chain`) +- `vars`: exodus variable groups (`node_vars`, `elem_vars`, `glob_vars`) +- `config`: renderer/backend configuration objects, spelled out unlike + `opts` + +## Files & Libraries + +- `np`: numpy; `plt`: matplotlib.pyplot; `pv`: pyvista; `nc`: netCDF4 +- Format tokens in names: `csv`, `yaml`, `tiff`, `bmp`, `npy`, and exodus + `.e` files + +## Naming Conventions + +- `E` prefix: enumerations (`EMeshType`, `ELightType`, `EElementType`) +- `I` prefix: abstract-base-class interfaces (`ISensor`, `IRenderer3D`, + `IImageWarp2D`) +- `_` leading underscore: private/internal members and modules diff --git a/dev/MESHCONVENTION.md b/dev/MESHCONVENTION.md new file mode 100644 index 000000000..c82ce265c --- /dev/null +++ b/dev/MESHCONVENTION.md @@ -0,0 +1,75 @@ +# Mesh Convention + +Pyvale uses one finite-element mesh convention across DataIO, SensorSim, and +the render APIs. The common implementation is in +`pyvale.dataio.meshconv`. + +## Required representation + +- `coords` has one node per row. Three columns are `[x, y, z]`; planar meshes + use `z = 0`. +- Connectivity has one element per row and contains zero-based node indices. +- Every connectivity index refers to a row in `coords`. +- Element connectivity is row-major. Legacy transposed and one-based tables + are detected and normalised by `enforce_mesh_convention`. + +## Mesh topology + +`SimData.mesh_type` explicitly records the topology as `EMeshType.VOL` or +`EMeshType.SURF`. `SimData.__post_init__` infers it whenever both coordinates +and connectivity are supplied. The Exodus and CSV/array loaders call +`refresh_mesh_type()` after loading their fields, so their returned objects +carry the same value. + +Use `is_volume_mesh(sim_data)` where code needs to distinguish a volume mesh +from a surface mesh. It resolves the ambiguous four- and eight-node tables by +their signed cell volume (TET4 versus QUAD4, and HEX8 versus QUAD8). A +`SimData` containing both surface and volume connectivity tables is rejected: +it cannot have one unambiguous `EMeshType`. + +## Winding and handedness + +For a planar face, list corner nodes counter-clockwise when viewing its +outward/visible side. The right-hand rule then gives the face normal: curl the +fingers from the first edge to the second, and the thumb points outward. + +For a volume element, corner order must give a positive signed volume. Surface +extraction orients each exposed face outward from its parent element. + +`check_mesh_convention(mesh)` reports zero-based indexing, row-major layout, +valid indices, counter-clockwise winding, and right-handed geometry. +`enforce_mesh_convention(mesh)` normalises supported input and should be +idempotent. + +## Element node order + +The first nodes are always the corner nodes. Higher-order edge nodes follow +the perimeter in the same direction as the corners. + +| Element | Corner order | Extra-node order | +| --- | --- | --- | +| TRI3 | `0, 1, 2` | — | +| TRI6 | `0, 1, 2` | edges `01, 12, 20` | +| QUAD4 | `0, 1, 2, 3` | — | +| QUAD8 | `0, 1, 2, 3` | edges `01, 12, 23, 30` | +| QUAD9 | QUAD8 order | QUAD8 edges, then centre | +| TET4 | `0, 1, 2, 3` | — | +| TET10 | TET4 corners | canonical tetrahedral edge nodes | +| HEX8 | `0, 1, 2, 3, 4, 5, 6, 7` | — | +| HEX20 | HEX8 corners | canonical hexahedral edge nodes | +| HEX27 | HEX20 order | face centres, then volume centre | + +TET14 is packaged as a cube fixture but is not yet supported by the common +convention checker or surface extractor. + +## Verification + +The cube fixtures provide regression coverage for TET4, TET10, HEX8, HEX20, +and HEX27: + +```bash +python -m pytest tests/dataio/meshtools_test.py -k cube +``` + +The suite verifies raw legacy layout, successful enforcement, idempotence, and +the local outward orientation of extracted closed surfaces. diff --git a/designspec/README.md b/dev/README.md similarity index 79% rename from designspec/README.md rename to dev/README.md index 8e9d664b4..ef50ee264 100644 --- a/designspec/README.md +++ b/dev/README.md @@ -23,7 +23,14 @@ We have non-software engineers and scientists working on the project so these gu - Prioritise an easy to remember and intuitive user API and performant code under the hood. - Work in your own 'feature' branch, merge into 'dev' - don't push to main (it should be protected and yell at you)! - Follow the PEP8 style guide: https://peps.python.org/pep-0008/ +- Format your code so it is readable, use an 80 character line length and put blank lines around logical groups of statements - Use descriptive variable names, no single letter variables (double letters for iterators in numpy style are ok) single letter variables for indices / iterators are ok. +- Abbreviations are ok in variable names as long as they are not ambiguous for examples `calc` for `calculate`. +- Functions should have a verb as the first word in the function name that indicates what the function actually does. +- Avoid using magic numbers in code. If you need to use magic numbers, make them a named module constant with a descriptive name and add a comment when the name is not self-explanatory. +- Keep comprehensions to one line with one `for` loop and at most one function call. Split comprehensions containing filters, nested loops, nested comprehensions or multiple function calls into explicit statements and loops. +- Keep `if` conditions to at most two lines and avoid nested function calls in conditions. Calculate complex predicates in clearly named intermediate statements before the `if`. +- Don't nest `def` statements. - Use major function first variable names: e.g. `FieldScalar`, `FieldVector` and `FieldTensor` instead of `ScalarField`, `VectorField` and `TensorField`. - Type hint everything: e.g. `def add_ints(a: int, b: int) -> int:`. This makes your code easier to understand and you have the possibility of compiling things if you need. - `pylint` is a slow linter but will help you if you have type hinted everything. `Ruff` is another good option, it is faster but doesn't pick up type hints as well. @@ -33,7 +40,7 @@ We have non-software engineers and scientists working on the project so these gu - `numpy` and `scipy` are your friend - avoid for/while loops. Push everything you can down into C. Unless you are writing Cython then loops are great! - Minimise dependencies as much as possible. - Avoid decorators unless absolutely necessary (`@dataclass`, `@abstractmethod` and `@staticmethod` are examples that are ok) -- Don't use `@property` to hide complicated variable initialisation behind the `.` notation - in fact just avoid `@property` altogether and just use a `@dataclass` for data only classes. +- Don't use `@property`. It is normally used to hide complicated variable initialisation behind the `.` notation - just avoid `@property` altogether and just use a `@dataclass` for data only classes. - No inheritance unless it is a purely abstract interface (python abstract base class `ABC`) - use composition / dependency injection. See this [video](https://www.youtube.com/watch?v=hxGOiiR9ZKg&t=3s) and thie [video](https://www.youtube.com/watch?v=J1f5b4vcxCQ&t=2s). - Only use one layer of abstraction - don't inherit from multiple interfaces and don't use mix-ins. - For interfaces (abstract base classes) prefix the name of the class with a capital `I` e.g. `ISensor` diff --git a/dev/TESTING.md b/dev/TESTING.md new file mode 100644 index 000000000..d0492e824 --- /dev/null +++ b/dev/TESTING.md @@ -0,0 +1,125 @@ +# Testing Guide + +Run the full test suite from the repository root with: + +```bash +python -m pytest +``` + +If the project environment is managed with uv, use the equivalent command: + +```bash +uv run --no-sync -- python -m pytest +``` + +Run one test module or directory by passing its path. The main test areas are +listed below. + +| Area | Command | +| --- | --- | +| Dataset helpers | `python -m pytest tests/data` | +| Data I/O | `python -m pytest tests/dataio` | +| DIC | `python -m pytest tests/dic` | +| MOOSE and Gmsh integration | `python -m pytest tests/mooseherder` | +| Rendering | `python -m pytest tests/render` | +| Sensor simulation | `python -m pytest tests/sensorsim` | +| Strain | `python -m pytest tests/strain` | +| Documented examples | `python -m pytest tests/examples` | + +Use ordinary pytest selectors for a smaller target, for example +`python -m pytest tests/render/test_pxint2d.py -k newton`. + +## Documented examples + +Example smoke tests execute examples in a temporary working directory. Their +normal `pyvale-output` files are therefore checked without modifying the +source tree. Run every supported example with: + +```bash +python -m pytest tests/examples +``` + +Use `--example-module` to run examples in one example directory. The value is +the directory below `src/pyvale/examples`, for example: + +```bash +python -m pytest tests/examples --example-module=render3d +python -m pytest tests/examples --example-module=render2d +python -m pytest tests/examples --example-module=dic +python -m pytest tests/examples --example-module=basicsensorsim +python -m pytest tests/examples --example-module=extsensorsim +``` + +Run render implementation tests and its examples together with: + +```bash +python -m pytest tests/render tests/examples --example-module=render3d +``` + +The `example_slow` marker labels longer tests; select it explicitly with +`python -m pytest tests/examples -m example_slow`. It is not excluded from a +normal example run. + +To add an example test, place the runnable example below +`src/pyvale/examples//`, then add it to the appropriate parameter list +in `tests/examples/test__examples.py`. Use the `run_example` fixture +from `tests/examples/conftest.py`, declare expected output paths, and provide +any input files through `support_files`. For a non-parameterized example test, +add `@pytest.mark.example_module("")` so the module filter includes it. + +## Gold regression data + +Generate gold data only after deliberately reviewing a known-good result. Gold +is a committed regression baseline, not test output to refresh after a failure. +Run generators from the repository root and inspect the resulting diff before +committing it. + +Generators belong in `scripts/`, even when they support a single test module. +Generated files belong beside the tests that consume them: + +| Area | Generator | Gold location | +| --- | --- | --- | +| Render conformance | `python scripts/gengold_render_conformance.py --write` | `tests/render/gold_/` | +| PixInt2D render | `python scripts/gengold_pxint2d.py --write` | `tests/render/gold_pxint2d/` | +| Riley render | `python scripts/gengold_riley_rabbits.py --write` | `tests/render/gold_riley/` | +| Blender triangle | `python scripts/gengold_blender_triangle.py` | `tests/render/gold_blender/` | +| Legacy Blender | `python scripts/gengold_blender.py` | `tests/blender/2D_gold/`, `tests/blender/3D_gold/` | +| Simulation text I/O | `python scripts/gengold_sim_txt.py` | `tests/dataio/txt_gold/` | +| Sensor simulation | `python scripts/gengold_sensorsim_scalar.py` | `tests/sensorsim/gold/` | + +The vector, tensor, and combined sensor-simulation generators are +`gengold_sensorsim_vector.py`, `gengold_sensorsim_tensor.py`, and +`gengold_sensorsim_all.py`. They follow the same convention. MOOSE herd output +is committed under `tests/mooseherder/output_gold/`; no dedicated generator is +currently provided, so update it only from an independently reviewed run. + +## Module-specific conditions and skips + +### Blender + +Blender rendering integration tests and legacy Blender regression tests skip +unless Blender is available. Availability requires Python 3.13 and the optional +`pyvale[blender]` dependency. Blender rendering examples use the same +condition. The availability boundary tests still run without Blender and +verify the diagnostic behaviour. + +The Blender adapter is verified for Tri3 input. It warns when given another +render surface topology, then tessellates that surface to Tri3 for the legacy +Blender scene path. + +### MOOSE and Gmsh + +Tests that execute MOOSE skip unless the configured MOOSE checkout and Proteus +application exist. The current test helper expects `~/moose`, `~/proteus`, and +the `proteus-opt` executable. Gmsh-runner tests skip when `gmsh` is not on +`PATH`. Tests that require both tools skip if either is unavailable. Availability +tests remain runnable and verify the missing-tool diagnostics. + +### Examples + +The example suite skips Blender-backed examples when Blender is unavailable. +It intentionally does not include DIC examples requiring interaction or +unbundled local files: `ex01_region_of_interest.py`, `ex06_hrdic.py`, +`ex08_calibration.py`, `ex09_stereo.py`, `ex10_stereo_platehole.py`, and +`ex11_dic_chal.py`. The `valid` example module is also excluded while it is +under active development. diff --git a/designspec/dic_engine_spec.md b/dev/designspecs/dic_engine_spec.md similarity index 100% rename from designspec/dic_engine_spec.md rename to dev/designspecs/dic_engine_spec.md diff --git a/designspec/pyvale_design_spec.md b/dev/designspecs/pyvale_design_spec.md similarity index 100% rename from designspec/pyvale_design_spec.md rename to dev/designspecs/pyvale_design_spec.md diff --git a/designspec/rasteriser_spec.md b/dev/designspecs/rasteriser_spec.md similarity index 100% rename from designspec/rasteriser_spec.md rename to dev/designspecs/rasteriser_spec.md diff --git a/designspec/raytracing_spec.md b/dev/designspecs/raytracing_spec.md similarity index 100% rename from designspec/raytracing_spec.md rename to dev/designspecs/raytracing_spec.md diff --git a/designspec/visualisation_ spec.md b/dev/designspecs/visualisation_ spec.md similarity index 100% rename from designspec/visualisation_ spec.md rename to dev/designspecs/visualisation_ spec.md diff --git a/docs/apidoc.sh b/docs/apidoc.sh index aa37b2bd5..d2e42806c 100644 --- a/docs/apidoc.sh +++ b/docs/apidoc.sh @@ -13,7 +13,7 @@ error_exit() { } # Python API documentation -sphinx-apidoc -f -o ./source --separate ../src/pyvale/ ../src/pyvale/data/* ../src/pyvale/examples/* || error_exit "sphinx-apidoc failed" +sphinx-apidoc -f -o ./source --separate ../src/pyvale/ ../src/pyvale/examples/* || error_exit "sphinx-apidoc failed" # Remove autogenerated TOC file rm -f source/modules.rst || error_exit "Failed to remove modules.rst" @@ -21,7 +21,7 @@ rm -f source/modules.rst || error_exit "Failed to remove modules.rst" echo "Updating generated RST files..." # Modules to process -modules=("dic" "blender" "mooseherder" "sensorsim" "verif" "dataset" "strain") +modules=("dic" "blender" "mooseherder" "sensorsim" "verif" "data" "strain" "render") for mod in "${modules[@]}"; do rst="source/pyvale.${mod}.rst" @@ -33,7 +33,7 @@ for mod in "${modules[@]}"; do sed -i '/^\.\. toctree::/a \ :caption: Python Source Files' "$rst" || error_exit "Failed adding caption in $rst" # Remove "package" word - sed -i 's/package//g' "$rst" || error_exit "Failed removing 'package' in $rst" + sed -i 's/ package$//' "$rst" || error_exit "Failed removing 'package' in $rst" # Remove 'Module contents' section sed -i '/^Module contents$/,/^ *:undoc-members:/d' "$rst" || error_exit "Failed trimming module contents in $rst" @@ -41,15 +41,17 @@ for mod in "${modules[@]}"; do # Change toctree level from 4 to 1 sed -i 's/4/1/g' "$rst" || error_exit "Failed updating toctree level in $rst" - sed -i "0,/\\b${mod}\.\([a-zA-Z0-9_]\+\)/s//\1.py/" source/pyvale.${mod}.*.rst || error_exit "Failed replacing '${mod}.*' with '*.py' in $rst" - done -# Tweak module titles across all rst files -sed -i 's/^pyvale\.\(.*\) module$/\1/' source/pyvale.*.rst || error_exit "Failed fixing module titles" +# Append '.py' to bare module-name titles on the first line of each page. +# This must not touch '.. automodule::' directives, so it is anchored to the +# title on line one only. +sed -i '1s/^\([a-z][a-z0-9_]*\)$/\1.py/' source/pyvale.*.*.rst || error_exit "Failed fixing module titles" -# Remove unneeded file +# Remove unneeded files: the cython extension module is not importable for +# autodoc and its toctree entry would dangle. rm -f ./source/pyvale.dic.dic2dcpp.rst || error_exit "Failed to remove dic2dcpp.rst" +sed -i '/pyvale\.dic\.dic2dcpp/d' ./source/pyvale.dic.rst || error_exit "Failed removing dic2dcpp toctree entry" echo "PYTHON API DOCUMENTATION GENERATED SUCCESSFULLY!" @@ -61,7 +63,11 @@ echo " GENERATING C++ API DOCUMENTATION..." echo "==========================================" # Run Doxygen (optional, if you still want it) -( cd ./source && doxygen Doxyfile ) || error_exit "doxygen generation failed" +if command -v doxygen >/dev/null 2>&1; then + ( cd ./source && doxygen Doxyfile ) || error_exit "doxygen generation failed" +else + echo "doxygen not found: skipping C++ XML generation" +fi # Create RST files for each C++ header for mod in "${modules[@]}"; do @@ -79,14 +85,16 @@ for mod in "${modules[@]}"; do echo "Generating $rst_file" - cat > "$rst_file" <, - ..., - ) + roi, + reference="ref.tiff", + deformed="def.tiff", + num_threads=4, + ) Alternatively, those on UNIX operating systems (MacoS, Linux) can set the number of threads using the :code:`OMP_NUM_THREADS` environment variable. diff --git a/docs/source/guide_user/guide_sensorsim.rst b/docs/source/guide_user/guide_sensorsim.rst index 9cb3ca4bf..77e4e8633 100644 --- a/docs/source/guide_user/guide_sensorsim.rst +++ b/docs/source/guide_user/guide_sensorsim.rst @@ -64,7 +64,7 @@ While we have built and tested pyvale primarily with thermal and solid mechanics Bring your own simulation data ------------------------------ -To use pyvale with your own input physics simulation you will first need to parse the simulation data into a ``SimData`` object. To help users input arbitrary simulation data we have developed tools that allow users to directly load the data as either plain text delimited files (e.g. *.csv) or numpy arrays (i.e. *.npy). An example of loading arbitrary simulation data can be found in the :ref:`extended examples `. +To use pyvale with your own input physics simulation you will first need to parse the simulation data into a ``SimData`` object. To help users input arbitrary simulation data we have developed tools that allow users to directly load the data as either plain text delimited files (e.g. ``*.csv``) or numpy arrays (i.e. ``*.npy``). An example of loading arbitrary simulation data can be found in the :ref:`extended examples `. For mesh-based simulations it is essential that the element connectivity tables conform to the node winding (i.e. node ordering) specified for exodus output files which can be found `here `_. diff --git a/docs/source/guide_user/guide_strain.rst b/docs/source/guide_user/guide_strain.rst index e69de29bb..32b4f0e94 100644 --- a/docs/source/guide_user/guide_strain.rst +++ b/docs/source/guide_user/guide_strain.rst @@ -0,0 +1,5 @@ +Strain Calculation +================== + +.. note:: + The strain calculation user guide is currently under development. diff --git a/docs/source/guide_user/guide_user.rst b/docs/source/guide_user/guide_user.rst index b5f3f8acc..88ab9cfe3 100644 --- a/docs/source/guide_user/guide_user.rst +++ b/docs/source/guide_user/guide_user.rst @@ -12,6 +12,7 @@ Module Specific Guides guide_sensorsim.rst guide_dic.rst guide_blender.rst + guide_strain.rst What is pyvale? diff --git a/docs/source/index.rst b/docs/source/index.rst index a49ad591a..868d723f3 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -93,6 +93,7 @@ Getting Started examples/examples guide_user/guide_user guide_theory/guide_theory + guide_dev/dev_guide api_py api_cpp cite diff --git a/docs/source/install/install.rst b/docs/source/install/install.rst index 3a4d71684..2df289fd4 100644 --- a/docs/source/install/install.rst +++ b/docs/source/install/install.rst @@ -3,7 +3,9 @@ Installation =================== -If you have **Python 3.13** installed you can setup ``pyvale`` using your preferred package manager: +If you have **Python 3.11 or newer** installed, you can set up ``pyvale`` +using your preferred package manager. Blender is optional and currently +requires Python 3.13. .. tab-set:: @@ -11,8 +13,8 @@ If you have **Python 3.13** installed you can setup ``pyvale`` using your prefe .. code-block:: bash - # Create a virtual environment with Python 3.13 - python3.13 -m venv venv-pyvale + # Create a virtual environment with a supported Python version + python -m venv venv-pyvale # Activate the environment source venv-pyvale/bin/activate # On Windows: .\venv-pyvale\Scripts\Activate.ps1 @@ -24,8 +26,8 @@ If you have **Python 3.13** installed you can setup ``pyvale`` using your prefe .. code-block:: bash - # Initialize a new project with Python 3.13 - uv init --python 3.13 try-pyvale + # Initialize a new project with a supported Python version + uv init try-pyvale cd try-pyvale # Add pyvale as a dependency @@ -37,7 +39,7 @@ If you have **Python 3.13** installed you can setup ``pyvale`` using your prefe .. code-block:: bash # Create a conda environment with Python 3.13 - conda create -n pyvale-env python=3.13 + conda create -n pyvale-env python=3.11 # Activate the environment conda activate pyvale-env @@ -48,6 +50,16 @@ If you have **Python 3.13** installed you can setup ``pyvale`` using your prefe **We have detailed install guides for non-specialist python users for the common operating systems below. This includes walkthroughs on how to install the correct python version for your operating system and how to setup a virtual environment.** +Blender backend +---------------- + +The default rendering backend is Riley. Blender is an optional backend and is +available only with Python 3.13: + +.. code-block:: bash + + pip install "pyvale[blender]" + .. toctree:: :maxdepth: 1 diff --git a/docs/source/install/install_linux.rst b/docs/source/install/install_linux.rst index 981055864..0666206f9 100644 --- a/docs/source/install/install_linux.rst +++ b/docs/source/install/install_linux.rst @@ -3,28 +3,31 @@ Ubuntu Linux ############ -Configuring Python3.13 ------------------------- +Configuring Python +------------------ -To be compatible with ``bpy`` (the Blender python interface), ``pyvale`` uses python 3.13. To install python 3.13 without corrupting your operating systems python installation first add the deadsnakes repository to apt: +``pyvale`` supports Python 3.11 and newer. The optional Blender backend +requires Python 3.13; install it with ``pip install "pyvale[blender]"``. +To install a specific Python version without changing your operating system +Python, first add the deadsnakes repository to apt: .. code-block:: bash sudo add-apt-repository ppa:deadsnakes/ppa && sudo apt update -Install python 3.13: +For example, install Python 3.13 for Blender: .. code-block:: bash sudo apt install python3.13 python3.13-dev python3.13-venv -Check your python 3.13 install is working using the following command which should open an interactive python interpreter: +Check the selected Python installation using the following command: .. code-block:: bash python3.13 -If everything has worked you should see an interactive python console with Python 3.13.xx in the header. You can now exit the interpreter using ``quit()``. +If everything has worked you should see an interactive Python console. You can now exit it using ``quit()``. Interactive ROI Dependencies ---------------------------- @@ -43,7 +46,7 @@ We recommend installing ``pyvale`` in a virtual environment using ``venv`` or `` .. code-block:: bash - python3.13 -m venv pyvale-env + python -m venv pyvale-env Now activate the virtual environment: @@ -61,7 +64,8 @@ Installation from PyPI pip install pyvale -You should now be able to start a python 3.13 interpreter in your terminal using (again make sure your pyvale-env is active): +You should now be able to start a Python interpreter in your terminal using +(again make sure your pyvale-env is active): .. code-block:: bash @@ -110,5 +114,3 @@ This will create an editable/developer installation of ``pyvale``. Now check tha If there are no errors then everything has worked and you can now move on to looking at some of our examples to get you started in the basics section. - - diff --git a/docs/source/install/install_mac.rst b/docs/source/install/install_mac.rst index 28d4a8415..9e18421c3 100644 --- a/docs/source/install/install_mac.rst +++ b/docs/source/install/install_mac.rst @@ -3,10 +3,11 @@ MacOS ###### -Configuring Python 3.13 -*********************** +Configuring Python +****************** -To be compatible with ``bpy`` (the Blender python interface), ``pyvale`` requires python 3.13. +``pyvale`` supports Python 3.11 and newer. The optional Blender backend +requires Python 3.13 and ``pip install "pyvale[blender]"``. Homebrew is a free and open-source commonly used package manager for macOS that often simplifies the process of installing, updating, and managing software. Install via Homebrew @@ -41,11 +42,12 @@ Virtual Environment ******************** We recommend installing ``pyvale`` in a virtual environment using ``venv`` or ``pyvale`` can be installed into an existing environment of your choice. -To create a specific virtual environment for ``pyvale`` first open a terminal Then navigate to the folder you want to install the environment in (using ``cd``) and use: +To create a virtual environment for ``pyvale`` first open a terminal, navigate +to the folder in which to install it (using ``cd``), and use: .. code-block:: batch - python3.13 -m venv pyvale-env + python -m venv pyvale-env This will create a virtual environment called 'pyvale-env' in a folder of the same name. To activate the virtual environment from your current location type this into your terminal: @@ -72,7 +74,8 @@ Installation from PyPI pip install pyvale -You should now be able to start a python 3.13 interpreter in your terminal using (again make sure your pyvale-env is active): +You should now be able to start a Python interpreter in your terminal using +(again make sure your pyvale-env is active): .. code-block:: bash @@ -155,5 +158,3 @@ Now check that you can import pyvale in the interpreter: If there are no errors then everything has worked and you can now move on to looking at some of our examples to get you started in the basics section. - - diff --git a/docs/source/install/install_windows.rst b/docs/source/install/install_windows.rst index 7705796c7..584fce4cc 100644 --- a/docs/source/install/install_windows.rst +++ b/docs/source/install/install_windows.rst @@ -6,20 +6,26 @@ Windows 11 Installing python ----------------- -To be compatible with ``bpy`` (the Blender python interface), ``pyvale`` uses python 3.13. To install python 3.13 for windows grab the correct installer for your system (most likely windows 64 bit) from the python website here: https://www.python.org/downloads/release/python-3130/. +``pyvale`` supports Python 3.11 and newer. The optional Blender backend +requires Python 3.13 and ``pip install "pyvale[blender]"``. Install a supported +Python release for your system from https://www.python.org/downloads/. Launch the installer, select 'custom installation' and make sure the 'py launcher' option is checked. Then click next and finish the installation. If you are prompted to disable the maximum path length then click this to confirm you want to disable the path length. Starting Python with the py Launcher ------------------------------------- -To confirm your installation has worked you should open a windows command line using 'windows-key+r' and then type 'cmd'. From here enter the following to start an interactive python 3.11 interpreter: +To confirm your installation has worked, open a Windows command line using +'windows-key+r' and then type 'cmd'. From here enter the following to start an +interactive Python interpreter: .. code-block:: batch - py -3.13 + py -3.11 -If you see prompt with Python 3.13 in the header and the starting cursor has '>>>' then everything has worked. If you install other python versions on windows you can start them using the py launcher using this syntax ``py -#.#``. Where the '\#' is the version you want to start. For pyvale we will stick with python 3.13. +If you see a Python prompt with ``>>>`` then everything has worked. If you +install other Python versions on Windows, start them with ``py -#.#``. Use +Python 3.13 when you need the optional Blender backend. Troubleshooting the py launcher ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -41,7 +47,7 @@ We recommend installing ``pyvale`` in a virtual environment using ``venv`` or `` .. code-block:: batch - py -3.13 -m venv pyvale-env + py -3.11 -m venv pyvale-env This will create a virtual environment called 'pyvale-env' in a folder of the same name. To activate the virtual environment from your current location type this into the command prompt: @@ -60,7 +66,8 @@ Installation from PyPI pip install pyvale -You should now be able to start a python 3.11 interpreter in your terminal using (again make sure your pyvale-env is active): +You should now be able to start a Python interpreter in your terminal using +(again make sure your pyvale-env is active): .. code-block:: bash diff --git a/docs/source/pyvale.render.uvtools.rst b/docs/source/pyvale.render.uvtools.rst new file mode 100644 index 000000000..31931a425 --- /dev/null +++ b/docs/source/pyvale.render.uvtools.rst @@ -0,0 +1,7 @@ +pyvale.render.uvtools module +============================ + +.. automodule:: pyvale.render.uvtools + :members: + :show-inheritance: + :undoc-members: diff --git a/docs/source/sg_execution_times.rst b/docs/source/sg_execution_times.rst index 59bf07c4c..352f333aa 100644 --- a/docs/source/sg_execution_times.rst +++ b/docs/source/sg_execution_times.rst @@ -6,7 +6,7 @@ Computation times ================= -**00:00.000** total execution time for 44 files **from all galleries**: +**00:00.000** total execution time for 64 files **from all galleries**: .. container:: @@ -32,76 +32,100 @@ Computation times * - Example - Time - Mem (MB) - * - :ref:`sphx_glr_examples_basics_ex1a_basicscalars_therm2d.py` (``../../src/pyvale/examples/basics/ex1a_basicscalars_therm2d.py``) + * - :ref:`sphx_glr_examples_basicsensorsim_ex0_quickstart.py` (``../../src/pyvale/examples/basicsensorsim/ex0_quickstart.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex1b_sensormodel_therm2d.py` (``../../src/pyvale/examples/basics/ex1b_sensormodel_therm2d.py``) + * - :ref:`sphx_glr_examples_basicsensorsim_ex1_scalar_sensors.py` (``../../src/pyvale/examples/basicsensorsim/ex1_scalar_sensors.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex1c_customsens_therm3d.py` (``../../src/pyvale/examples/basics/ex1c_customsens_therm3d.py``) + * - :ref:`sphx_glr_examples_basicsensorsim_ex2_vector_tensor_sensors.py` (``../../src/pyvale/examples/basicsensorsim/ex2_vector_tensor_sensors.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex1d_basicerrors_therm3d.py` (``../../src/pyvale/examples/basics/ex1d_basicerrors_therm3d.py``) + * - :ref:`sphx_glr_examples_basicsensorsim_ex3_experiment_simulator.py` (``../../src/pyvale/examples/basicsensorsim/ex3_experiment_simulator.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex1e_fielderrs_therm3d.py` (``../../src/pyvale/examples/basics/ex1e_fielderrs_therm3d.py``) + * - :ref:`sphx_glr_examples_dic_ex01_region_of_interest.py` (``../../src/pyvale/examples/dic/ex01_region_of_interest.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex1f_caliberrs_therm2d.py` (``../../src/pyvale/examples/basics/ex1f_caliberrs_therm2d.py``) + * - :ref:`sphx_glr_examples_dic_ex02_plate_with_hole.py` (``../../src/pyvale/examples/dic/ex02_plate_with_hole.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex1g_spatavg_therm2d.py` (``../../src/pyvale/examples/basics/ex1g_spatavg_therm2d.py``) + * - :ref:`sphx_glr_examples_dic_ex03_plate_with_hole_strain.py` (``../../src/pyvale/examples/dic/ex03_plate_with_hole_strain.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex2a_basicvectors_disp2d.py` (``../../src/pyvale/examples/basics/ex2a_basicvectors_disp2d.py``) + * - :ref:`sphx_glr_examples_dic_ex04_dic_blender.py` (``../../src/pyvale/examples/dic/ex04_dic_blender.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex2b_vectorsens_disp2d.py` (``../../src/pyvale/examples/basics/ex2b_vectorsens_disp2d.py``) + * - :ref:`sphx_glr_examples_dic_ex05_dic_challenge.py` (``../../src/pyvale/examples/dic/ex05_dic_challenge.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex2c_sensangle_disp2d.py` (``../../src/pyvale/examples/basics/ex2c_sensangle_disp2d.py``) + * - :ref:`sphx_glr_examples_dic_ex06_hrdic.py` (``../../src/pyvale/examples/dic/ex06_hrdic.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex2d_chainfielderrs_disp2d.py` (``../../src/pyvale/examples/basics/ex2d_chainfielderrs_disp2d.py``) + * - :ref:`sphx_glr_examples_dic_ex07_incremental.py` (``../../src/pyvale/examples/dic/ex07_incremental.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex2e_vectorfields3d_disp3d.py` (``../../src/pyvale/examples/basics/ex2e_vectorfields3d_disp3d.py``) + * - :ref:`sphx_glr_examples_dic_ex08_calibration.py` (``../../src/pyvale/examples/dic/ex08_calibration.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex3a_basictensors_strain2d.py` (``../../src/pyvale/examples/basics/ex3a_basictensors_strain2d.py``) + * - :ref:`sphx_glr_examples_dic_ex09_stereo.py` (``../../src/pyvale/examples/dic/ex09_stereo.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex3b_tensorsens2d_strain2d.py` (``../../src/pyvale/examples/basics/ex3b_tensorsens2d_strain2d.py``) + * - :ref:`sphx_glr_examples_dic_ex10_stereo_platehole.py` (``../../src/pyvale/examples/dic/ex10_stereo_platehole.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex3c_tensorsens3d_strain3d.py` (``../../src/pyvale/examples/basics/ex3c_tensorsens3d_strain3d.py``) + * - :ref:`sphx_glr_examples_dic_ex11_dic_chal.py` (``../../src/pyvale/examples/dic/ex11_dic_chal.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex4a_expsim2d_thermmech2d.py` (``../../src/pyvale/examples/basics/ex4a_expsim2d_thermmech2d.py``) + * - :ref:`sphx_glr_examples_extsensorsim_ex1_byosimdata.py` (``../../src/pyvale/examples/extsensorsim/ex1_byosimdata.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex4b_expsim3d_thermmech3d.py` (``../../src/pyvale/examples/basics/ex4b_expsim3d_thermmech3d.py``) + * - :ref:`sphx_glr_examples_extsensorsim_ex2_meshfreesensors.py` (``../../src/pyvale/examples/extsensorsim/ex2_meshfreesensors.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_basics_ex5_nomesh.py` (``../../src/pyvale/examples/basics/ex5_nomesh.py``) + * - :ref:`sphx_glr_examples_extsensorsim_ex3a_scal2d.py` (``../../src/pyvale/examples/extsensorsim/ex3a_scal2d.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_dic_ex1_2_blenderdeformed.py` (``../../src/pyvale/examples/dic/ex1_2_blenderdeformed.py``) + * - :ref:`sphx_glr_examples_extsensorsim_ex3b_scal3d.py` (``../../src/pyvale/examples/extsensorsim/ex3b_scal3d.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_dic_ex1_region_of_interest.py` (``../../src/pyvale/examples/dic/ex1_region_of_interest.py``) + * - :ref:`sphx_glr_examples_extsensorsim_ex3c_vec2d.py` (``../../src/pyvale/examples/extsensorsim/ex3c_vec2d.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_dic_ex2_plate_with_hole.py` (``../../src/pyvale/examples/dic/ex2_plate_with_hole.py``) + * - :ref:`sphx_glr_examples_extsensorsim_ex3d_vec3d.py` (``../../src/pyvale/examples/extsensorsim/ex3d_vec3d.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_dic_ex3_plate_with_hole_strain.py` (``../../src/pyvale/examples/dic/ex3_plate_with_hole_strain.py``) + * - :ref:`sphx_glr_examples_extsensorsim_ex3e_tens2d.py` (``../../src/pyvale/examples/extsensorsim/ex3e_tens2d.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_dic_ex4_dic_blender.py` (``../../src/pyvale/examples/dic/ex4_dic_blender.py``) + * - :ref:`sphx_glr_examples_extsensorsim_ex3f_tens3d.py` (``../../src/pyvale/examples/extsensorsim/ex3f_tens3d.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_dic_ex5_dic_challenge.py` (``../../src/pyvale/examples/dic/ex5_dic_challenge.py``) + * - :ref:`sphx_glr_examples_extsensorsim_ex4a_basicerrs_scal2d.py` (``../../src/pyvale/examples/extsensorsim/ex4a_basicerrs_scal2d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_extsensorsim_ex4b_fielderrs_scal3d.py` (``../../src/pyvale/examples/extsensorsim/ex4b_fielderrs_scal3d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_extsensorsim_ex4c_angleerrs_vec2d.py` (``../../src/pyvale/examples/extsensorsim/ex4c_angleerrs_vec2d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_extsensorsim_ex4d_fieldlockerrs_vec3d.py` (``../../src/pyvale/examples/extsensorsim/ex4d_fieldlockerrs_vec3d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_extsensorsim_ex4e_chainfielderrs_vec2d.py` (``../../src/pyvale/examples/extsensorsim/ex4e_chainfielderrs_vec2d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_extsensorsim_ex4f_caliberrs_scal2d.py` (``../../src/pyvale/examples/extsensorsim/ex4f_caliberrs_scal2d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_extsensorsim_ex4g_spatavgerrs_scal2d.py` (``../../src/pyvale/examples/extsensorsim/ex4g_spatavgerrs_scal2d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_extsensorsim_ex5a_expsim_thermmech2d.py` (``../../src/pyvale/examples/extsensorsim/ex5a_expsim_thermmech2d.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_extsensorsim_ex5b_expsim_thermmech3d.py` (``../../src/pyvale/examples/extsensorsim/ex5b_expsim_thermmech3d.py``) - 00:00.000 - 0.0 * - :ref:`sphx_glr_examples_mooseherder_ex0_create_moose_config.py` (``../../src/pyvale/examples/mooseherder/ex0_create_moose_config.py``) @@ -149,18 +173,54 @@ Computation times * - :ref:`sphx_glr_examples_mooseherder_ex8_read_existing_sweep_output.py` (``../../src/pyvale/examples/mooseherder/ex8_read_existing_sweep_output.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_renderblender_ex1_1_blenderscene.py` (``../../src/pyvale/examples/renderblender/ex1_1_blenderscene.py``) + * - :ref:`sphx_glr_examples_render2d_ex1a_pixint_grid_one_elem_types.py` (``../../src/pyvale/examples/render2d/ex1a_pixint_grid_one_elem_types.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render2d_ex1b_pixint_grid_mesh.py` (``../../src/pyvale/examples/render2d/ex1b_pixint_grid_mesh.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render2d_ex1c_pixint_speck_newton.py` (``../../src/pyvale/examples/render2d/ex1c_pixint_speck_newton.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render2d_ex2a_imagedef2d_planar_deformation.py` (``../../src/pyvale/examples/render2d/ex2a_imagedef2d_planar_deformation.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render3d_ex1a_riley_quickstart.py` (``../../src/pyvale/examples/render3d/ex1a_riley_quickstart.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render3d_ex1b_riley_sphere200.py` (``../../src/pyvale/examples/render3d/ex1b_riley_sphere200.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render3d_ex1c_riley_psf.py` (``../../src/pyvale/examples/render3d/ex1c_riley_psf.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render3d_ex1d_riley_rabbits.py` (``../../src/pyvale/examples/render3d/ex1d_riley_rabbits.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render3d_ex1e_riley_dicuq.py` (``../../src/pyvale/examples/render3d/ex1e_riley_dicuq.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render3d_ex1f_riley_dic_from_exodus.py` (``../../src/pyvale/examples/render3d/ex1f_riley_dic_from_exodus.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render3d_ex1g_riley_stereocal.py` (``../../src/pyvale/examples/render3d/ex1g_riley_stereocal.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render3d_ex2a_blender_scene.py` (``../../src/pyvale/examples/render3d/ex2a_blender_scene.py``) + - 00:00.000 + - 0.0 + * - :ref:`sphx_glr_examples_render3d_ex2b_blender_deformation.py` (``../../src/pyvale/examples/render3d/ex2b_blender_deformation.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_renderblender_ex1_2_blenderdeformed.py` (``../../src/pyvale/examples/renderblender/ex1_2_blenderdeformed.py``) + * - :ref:`sphx_glr_examples_render3d_ex2c_blender_stereo.py` (``../../src/pyvale/examples/render3d/ex2c_blender_stereo.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_renderblender_ex2_1_stereoscene.py` (``../../src/pyvale/examples/renderblender/ex2_1_stereoscene.py``) + * - :ref:`sphx_glr_examples_render3d_ex2d_blender_calibration.py` (``../../src/pyvale/examples/render3d/ex2d_blender_calibration.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_renderblender_ex2_2_stereodeformed.py` (``../../src/pyvale/examples/renderblender/ex2_2_stereodeformed.py``) + * - :ref:`sphx_glr_examples_render3d_ex2e_blender_stereo_deformation.py` (``../../src/pyvale/examples/render3d/ex2e_blender_stereo_deformation.py``) - 00:00.000 - 0.0 - * - :ref:`sphx_glr_examples_renderblender_ex3_1_blendercalibration.py` (``../../src/pyvale/examples/renderblender/ex3_1_blendercalibration.py``) + * - :ref:`sphx_glr_examples_render3d_ex2f_blender_calibration_target.py` (``../../src/pyvale/examples/render3d/ex2f_blender_calibration_target.py``) - 00:00.000 - 0.0 diff --git a/images/dic_ex04_render_to_dic.png b/images/dic_ex04_render_to_dic.png new file 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a/images/render3d_ex1e_riley_dic_from_exodus.png b/images/render3d_ex1e_riley_dic_from_exodus.png new file mode 100644 index 000000000..bcee72aca Binary files /dev/null and b/images/render3d_ex1e_riley_dic_from_exodus.png differ diff --git a/images/render3d_ex1f_riley_stereocal.png b/images/render3d_ex1f_riley_stereocal.png new file mode 100644 index 000000000..f414ee48c Binary files /dev/null and b/images/render3d_ex1f_riley_stereocal.png differ diff --git a/images/render3d_ex1g_riley_psf.png b/images/render3d_ex1g_riley_psf.png new file mode 100644 index 000000000..34cc50d11 Binary files /dev/null and b/images/render3d_ex1g_riley_psf.png differ diff --git a/images/render3d_ex2a_blender_scene.png b/images/render3d_ex2a_blender_scene.png new file mode 100644 index 000000000..239460ac3 Binary files /dev/null and b/images/render3d_ex2a_blender_scene.png differ diff --git a/images/render3d_ex2b_blender_deformation.png b/images/render3d_ex2b_blender_deformation.png new file mode 100644 index 000000000..239460ac3 Binary files /dev/null and b/images/render3d_ex2b_blender_deformation.png differ diff --git a/images/render3d_ex2c_blender_stereo.png b/images/render3d_ex2c_blender_stereo.png new file mode 100644 index 000000000..95d86e7b7 Binary files /dev/null and b/images/render3d_ex2c_blender_stereo.png differ diff --git a/images/render3d_ex2d_blender_calibration.yaml b/images/render3d_ex2d_blender_calibration.yaml new file mode 100644 index 000000000..f1f73bb35 --- /dev/null +++ b/images/render3d_ex2d_blender_calibration.yaml @@ -0,0 +1,26 @@ +Cam0_Cx [pixels]: 770.0 +Cam0_Cy [pixels]: 520.0 +Cam0_Fs [pixels]: 0.0 +Cam0_Fx [pixels]: 4347.826086956522 +Cam0_Fy [pixels]: 4347.826086956522 +Cam0_Kappa 1: 0.0 +Cam0_Kappa 2: 0.0 +Cam0_Kappa 3: 0.0 +Cam0_P1: 0.0 +Cam0_P2: 0.0 +Cam1_Cx [pixels]: 770.0 +Cam1_Cy [pixels]: 520.0 +Cam1_Fs [pixels]: 0.0 +Cam1_Fx [pixels]: 4347.826086956522 +Cam1_Fy [pixels]: 4347.826086956522 +Cam1_Kappa 1: 0.0 +Cam1_Kappa 2: 0.0 +Cam1_Kappa 3: 0.0 +Cam1_P1: 0.0 +Cam1_P2: 0.0 +Phi [deg]: -14.999999999999996 +Psi [deg]: 0.0 +Theta [deg]: 0.0 +Tx [mm]: -103.52761804100828 +Ty [mm]: 0.0 +Tz [mm]: -27.7401416484059 diff --git a/images/render3d_ex2e_blender_stereo_deformation.png b/images/render3d_ex2e_blender_stereo_deformation.png new file mode 100644 index 000000000..cd3ecbb31 Binary files /dev/null and b/images/render3d_ex2e_blender_stereo_deformation.png differ diff --git a/images/render3d_ex2f_blender_calibration_target.png b/images/render3d_ex2f_blender_calibration_target.png new file mode 100644 index 000000000..a11a4f4e7 Binary files /dev/null and b/images/render3d_ex2f_blender_calibration_target.png differ diff --git a/images/renderuvs_ex1a_uv_planar_axes_axes.png b/images/renderuvs_ex1a_uv_planar_axes_axes.png new file mode 100644 index 000000000..106acf7bd Binary files /dev/null and b/images/renderuvs_ex1a_uv_planar_axes_axes.png differ diff --git a/images/renderuvs_ex1a_uv_planar_axes_speckle.png b/images/renderuvs_ex1a_uv_planar_axes_speckle.png new file mode 100644 index 000000000..75273b9dd Binary files /dev/null and b/images/renderuvs_ex1a_uv_planar_axes_speckle.png differ diff --git a/images/renderuvs_ex1b_uv_texture_aspect_aligned.png b/images/renderuvs_ex1b_uv_texture_aspect_aligned.png new file mode 100644 index 000000000..fd46f0f28 Binary files /dev/null and b/images/renderuvs_ex1b_uv_texture_aspect_aligned.png differ diff --git a/images/renderuvs_ex1b_uv_texture_aspect_physical_pitch.png b/images/renderuvs_ex1b_uv_texture_aspect_physical_pitch.png new file mode 100644 index 000000000..d462a433d Binary files /dev/null and b/images/renderuvs_ex1b_uv_texture_aspect_physical_pitch.png differ diff --git a/images/renderuvs_ex1b_uv_texture_aspect_rotated.png b/images/renderuvs_ex1b_uv_texture_aspect_rotated.png new file mode 100644 index 000000000..79ea2985a Binary files /dev/null and b/images/renderuvs_ex1b_uv_texture_aspect_rotated.png differ diff --git a/images/renderuvs_ex1c_uv_pixel_region.png b/images/renderuvs_ex1c_uv_pixel_region.png new file mode 100644 index 000000000..51b4433fc Binary files /dev/null and b/images/renderuvs_ex1c_uv_pixel_region.png differ diff --git a/images/renderuvs_ex1d_uv_arbitrary_plane.png b/images/renderuvs_ex1d_uv_arbitrary_plane.png new file mode 100644 index 000000000..b1231bf77 Binary files /dev/null and b/images/renderuvs_ex1d_uv_arbitrary_plane.png differ diff --git a/images/renderuvs_ex1e_uv_transform.png b/images/renderuvs_ex1e_uv_transform.png new file mode 100644 index 000000000..9ba9c6d8f Binary files /dev/null and b/images/renderuvs_ex1e_uv_transform.png differ diff --git a/pyproject.toml b/pyproject.toml index 3db6d2269..503d0bb46 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,16 +5,17 @@ build-backend = "scikit_build_core.build" [project] name = "pyvale" -version = "2026.7.0" +version = "2026.9.0" description = "Your virtual engineering lab: An all-in-one package for sensor simulation, uncertainty quantification, sensor placement optimisation and simulation calibration or validation." authors = [ { name = "scepticalrabbit et al.", email = "thescepticalrabbit@gmail.com" }, ] license = { file = "LICENSE" } readme = "README.md" -requires-python = "==3.13.*" +requires-python = ">=3.11" dependencies = [ "numpy>=2.0.0", + "numba>=0.60", "scipy>=1.14.0", "matplotlib>=3.8", "pyvista>=0.43.3", @@ -25,10 +26,15 @@ dependencies = [ "imageio>=2.36.1", "imageio-ffmpeg>=0.5.1", "pyyaml>=6.0.0", - "bpy==5.1.2", "pyqtgraph>=0.13.7", "opencv-python>=4.13.0.92", "pandas>=2.3.1", + "riley-raster>=2026.8.0", +] + +[project.optional-dependencies] +blender = [ + "bpy==5.1.2; python_version == '3.13'", ] [dependency-groups] @@ -80,7 +86,15 @@ pythonpath = [ "tests" ] filterwarnings = [ - "ignore:This process .* is multi-threaded, use of fork:DeprecationWarning" + "ignore:This process .* is multi-threaded, use of fork:DeprecationWarning", + "ignore:Setting the shape on a NumPy array:DeprecationWarning:vtkmodules.util.numpy_support", +] +markers = [ + "example: smoke test for a documented gallery example", + "example_module(name): documented example sub-module for filtering", + "example_slow: longer-running documented gallery example", + "blender: requires the optional Blender renderer backend", + "riley: native Riley demonstration parity test", ] [project.urls] @@ -92,6 +106,7 @@ build.verbose = true logging.level = "INFO" ninja.make-fallback = false build-dir = "build" +wheel.packages = ["src/pyvale"] [tool.uv] required-version = ">=0.9.17" diff --git a/src/pyvale/simcases/run_build_case.py b/scripts/build_simcase.py similarity index 95% rename from src/pyvale/simcases/run_build_case.py rename to scripts/build_simcase.py index 4bb1a1899..5d33785ce 100644 --- a/src/pyvale/simcases/run_build_case.py +++ b/scripts/build_simcase.py @@ -19,7 +19,9 @@ #=============================================================================== CASE_FILES = (CASE_STR+'.geo',CASE_STR+'.i') -CASE_DIR = Path(files("pyvale.simcases").joinpath(CASE_FILES[1])).parent +CASE_DIR = Path( + files("pyvale.data").joinpath("simulation", "simcases", CASE_FILES[1]), +).parent USER_DIR = Path.home() @@ -61,4 +63,3 @@ def main() -> None: if __name__ == '__main__': main() - diff --git a/scripts/gengold_blender.py b/scripts/gengold_blender.py index f5e510ce0..60812b216 100644 --- a/scripts/gengold_blender.py +++ b/scripts/gengold_blender.py @@ -3,178 +3,80 @@ # License: MIT # Copyright (C) 2026 The Computer Aided Validation Team # ============================================================================== -import os +"""Generate committed Blender 2D gold outputs for legacy regression tests.""" + import tempfile from pathlib import Path + import numpy as np -import yaml from scipy.spatial.transform import Rotation -import pyvale.blender as blender -import pyvale.dataset as dataset -import pyvale.mooseherder as mh -import pyvale.sensorsim as sens - - -def get_sample_scene_2d(): - data_path = dataset.mechanical_2d_path() - sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - disp_comps = ("disp_x", "disp_y") - sim_data = sens.scale_length_units(1000.0, sim_data, disp_comps) - render_mesh = sens.create_render_mesh( - sim_data, - ("disp_y", "disp_x"), - sim_spat_dim=sens.EDim.TWOD, - field_disp_keys=disp_comps, - ) - - scene = blender.Scene() - part = scene.add_part(render_mesh, sim_spat_dim=3) - cam_data = sens.CameraData( - pixels_num=np.array([20, 20]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=(0, 0, 500), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15, - ) - camera = scene.add_camera(cam_data) - light_data = blender.LightData( - type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - energy=1, - ) - light = scene.add_light(light_data) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution, - ) - return render_mesh, part, cam_data, scene - - -def get_sample_scene_2d_no_light(): - data_path = dataset.mechanical_2d_path() - sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - disp_comps = ("disp_x", "disp_y") - sim_data = sens.scale_length_units(1000.0, sim_data, disp_comps) - render_mesh = sens.create_render_mesh( - sim_data, - ("disp_y", "disp_x"), - sim_spat_dim=sens.EDim.TWOD, - field_disp_keys=disp_comps, - ) - - scene = blender.Scene() - part = scene.add_part(render_mesh, sim_spat_dim=3) - cam_data = sens.CameraData( - pixels_num=np.array([20, 20]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=(0, 0, 500), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15, - ) - camera = scene.add_camera(cam_data) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution, - ) - return cam_data, scene - +import pyvale.data as dataset +import pyvale.render as render +import pyvale.verif.renderverif as renderverif -def get_sample_scene_2d_no_cam(): - data_path = dataset.mechanical_2d_path() - sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - disp_comps = ("disp_x", "disp_y") - sim_data = sens.scale_length_units(1000.0, sim_data, disp_comps) - render_mesh = sens.create_render_mesh( - sim_data, - ("disp_y", "disp_x"), - sim_spat_dim=2, - field_disp_keys=disp_comps, - ) - scene = blender.Scene() - part = scene.add_part(render_mesh, sim_spat_dim=3) - light_data = blender.LightData( - type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - energy=1, +def _camera(pixels: tuple[int, int] = (20, 20)) -> render.Camera: + return render.Camera( + pixels_num=np.asarray(pixels), + pixels_size=np.array((0.00345, 0.00345)), + pos_world=np.array((0.0, 0.0, 500.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=15.0, ) - light = scene.add_light(light_data) - - return part, scene - -def get_sample_scene_3d_no_cam(): - data_path = dataset.mechanical_2d_path() - sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - disp_comps = ("disp_x", "disp_y") - sim_data = sens.scale_length_units(1000.0, sim_data, disp_comps) - render_mesh = sens.create_render_mesh( - sim_data, - ("disp_y", "disp_x"), - sim_spat_dim=sens.EDim.TWOD, - field_disp_keys=disp_comps, - ) - scene = blender.Scene() - part = scene.add_part(render_mesh, sim_spat_dim=3) - light_data = blender.LightData( - type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - energy=1, +def _mesh(camera: render.Camera) -> render.Mesh3D: + sim_data = renderverif.scaled_mechanical_2d() + resolution = ( + camera.pixels_size[0] * camera.pos_world[2] / camera.focal_length ) - light = scene.add_light(light_data) - cam_data_0 = sens.CameraData( - pixels_num=np.array([20, 20]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=np.array([0, 0, 500]), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15, + shader = render.BlenderTextureShader( + dataset.dic_pattern_5mpx_path(), resolution ) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data_0) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution, + return render.mesh3d_from_simdata(sim_data, shader, ("disp_x", "disp_y")) + + +def _render( + tmp_path: Path, + camera: render.Camera, + light_energy: float = 1.0, + samples: int = 2, + bounces: int = 12, + engine: render.EBlenderEngine = render.EBlenderEngine.CYCLES, +) -> np.ndarray: + renderer = render.Blender( + render.BlenderConfig( + tmp_path, + engine=engine, + samples=samples, + max_bounces=bounces, + threads=1, + ) ) - return cam_data_0, part, render_mesh, scene - - -def get_sample_stereo_scene(): - cam_data_0, part, render_mesh, scene = get_sample_scene_3d_no_cam() - stereo_system = sens.CameraTools.faceon_stereo_cameras( - cam_data_0=cam_data_0, stereo_angle=15.0 + result = renderer.render( + render.Scene3D( + (_mesh(camera),), + (camera,), + ( + render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 400.0)), + np.zeros(3), + light_energy, + ), + ), + ) ) - cam0, cam1 = scene.add_stereo_system(stereo_system) - return (stereo_system, part, render_mesh, scene) + assert result.images is not None + return result.images[0, 0, :, :, 0] -def main(): +def main() -> None: repo_root = Path(__file__).resolve().parents[1] gold_2d_dir = repo_root / "tests" / "blender" / "2D_gold" - gold_3d_dir = repo_root / "tests" / "blender" / "3D_gold" - - os.makedirs(gold_2d_dir, exist_ok=True) - os.makedirs(gold_3d_dir, exist_ok=True) + gold_2d_dir.mkdir(parents=True, exist_ok=True) print("Generating 2D Blender Gold Outputs...") @@ -182,212 +84,86 @@ def main(): tmp_path = Path(tmp_dir) # 1. half_watt_lighting & three_watt_lighting - for energy, name in [ + for energy, name in ( (0.5, "half_watt_lighting"), (3.0, "three_watt_lighting"), - ]: - cam_data, scene = get_sample_scene_2d_no_light() - light_data = blender.LightData( - type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - energy=energy, - ) - scene.add_light(light_data) - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - np.save(gold_2d_dir / f"{name}.npy", image_array) + ): + print(f"Generating {name}...") + img = _render(tmp_path / name, _camera(), light_energy=energy) + np.save(gold_2d_dir / f"{name}.npy", img) # 2. vertical_cam & horizontal_cam - for pixels, name in [ - (np.array([10, 20]), "vertical_cam"), - (np.array([20, 10]), "horizontal_cam"), - ]: - part, scene = get_sample_scene_2d_no_cam() - cam_data = sens.CameraData( - pixels_num=pixels, - pixels_size=np.array([0.00345, 0.00345]), - pos_world=(0, 0, 500), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15, - ) - scene.add_camera(cam_data) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_res = sens.CameraTools.calculate_mm_px_resolution(cam_data) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_res, - ) - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - np.save(gold_2d_dir / f"{name}.npy", image_array) - - # 3. cam_from_resolution - part, scene = get_sample_scene_2d_no_cam() - pixels_num = np.array([20, 20]) - pixels_size = np.array([0.00345, 0.00345]) - cam_data = sens.CameraTools.blender_camera_from_resolution( - pixels_num, pixels_size, 500, 0.1 - ) - scene.add_camera(cam_data) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_res = sens.CameraTools.calculate_mm_px_resolution(cam_data) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_res, + for pixels, name in ( + ((10, 20), "vertical_cam"), + ((20, 10), "horizontal_cam"), + ): + print(f"Generating {name}...") + img = _render(tmp_path / name, _camera(pixels)) + np.save(gold_2d_dir / f"{name}.npy", img) + + # 3. samples_four & samples_twelve + for samples, name in ((4, "samples_four"), (12, "samples_twelve")): + print(f"Generating {name}...") + img = _render(tmp_path / name, _camera(), samples=samples) + np.save(gold_2d_dir / f"{name}.npy", img) + + # 4. bounces_two & bounces_hundred + for bounces, name in ((2, "bounces_two"), (100, "bounces_hundred")): + print(f"Generating {name}...") + img = _render(tmp_path / name, _camera(), bounces=bounces) + np.save(gold_2d_dir / f"{name}.npy", img) + + # 5. cycles_engine & eevee_engine + for engine, name in ( + (render.EBlenderEngine.CYCLES, "cycles_engine"), + (render.EBlenderEngine.EEVEE, "eevee_engine"), + ): + print(f"Generating {name}...") + img = _render(tmp_path / name, _camera(), engine=engine) + np.save(gold_2d_dir / f"{name}.npy", img) + + # 6. cam_from_resolution + print("Generating cam_from_resolution...") + cam_res = render.blender_camera_from_resolution( + np.array((20, 20)), + np.array((0.00345, 0.00345)), + 500.0, + 0.1, ) - render_data = blender.RenderData(cam_data=cam_data, base_dir=tmp_path) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - np.save(gold_2d_dir / "cam_from_resolution.npy", image_array) - - # 4. deformed_images - render_mesh, part, cam_data, scene = get_sample_scene_2d() - render_data = blender.RenderData(cam_data=cam_data, base_dir=tmp_path) - image_arrays = scene.render_deformed_images( - render_mesh, - sim_spat_dim=3, - render_data=render_data, - part=part, - stage_image=True, - ) - np.save(gold_2d_dir / "deformed_images.npy", image_arrays[:, :, 10]) - - # 5. samples_four & samples_twelve - for s_val, name in [(4, "samples_four"), (12, "samples_twelve")]: - render_mesh, part, cam_data, scene = get_sample_scene_2d() - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path, samples=s_val - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - np.save(gold_2d_dir / f"{name}.npy", image_array) - - # 6. bounces_two & bounces_hundred - for b_val, name in [(2, "bounces_two"), (100, "bounces_hundred")]: - render_mesh, part, cam_data, scene = get_sample_scene_2d() - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path, max_bounces=b_val - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - np.save(gold_2d_dir / f"{name}.npy", image_array) - - # 7. cycles_engine & eevee_engine - for engine, name in [ - (blender.RenderEngine.CYCLES, "cycles_engine"), - (blender.RenderEngine.EEVEE, "eevee_engine"), - ]: - render_mesh, part, cam_data, scene = get_sample_scene_2d() - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path, engine=engine - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data + img_res = _render(tmp_path / "cam_res", cam_res) + np.save(gold_2d_dir / "cam_from_resolution.npy", img_res) + + # 7. deformed_images + print("Generating deformed_images...") + camera = _camera() + renderer = render.Blender( + render.BlenderConfig( + tmp_path / "deformed", + threads=1, + render_deformed=True, ) - np.save(gold_2d_dir / f"{name}.npy", image_array) - - print("Generating 3D Blender Gold Outputs...") - - with tempfile.TemporaryDirectory() as tmp_dir: - tmp_path = Path(tmp_dir) - - # 1. stereo_symmetric - cam_data_0, part, render_mesh, scene = get_sample_scene_3d_no_cam() - stereo_system = sens.CameraTools.symmetric_stereo_cameras( - cam_data_0=cam_data_0, stereo_angle=15.0 - ) - scene.add_stereo_system(stereo_system) - render_data = blender.RenderData( - cam_data=(stereo_system.cam_data_0, stereo_system.cam_data_1), - base_dir=tmp_path, - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data ) - np.save(gold_3d_dir / "stereo_symmetric.npy", image_array) - - # 2. stereo_faceon - cam_data_0, part, render_mesh, scene = get_sample_scene_3d_no_cam() - stereo_system = sens.CameraTools.faceon_stereo_cameras( - cam_data_0=cam_data_0, stereo_angle=15.0 - ) - scene.add_stereo_system(stereo_system) - render_data = blender.RenderData( - cam_data=(stereo_system.cam_data_0, stereo_system.cam_data_1), - base_dir=tmp_path, - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - np.save(gold_3d_dir / "stereo_faceon.npy", image_array) - - # 3. deformed_images - stereo_system, part, render_mesh, scene = get_sample_stereo_scene() - render_data = blender.RenderData( - cam_data=(stereo_system.cam_data_0, stereo_system.cam_data_1), - base_dir=tmp_path, + result = renderer.render( + render.Scene3D( + (_mesh(camera),), + (camera,), + ( + render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 400.0)), + np.zeros(3), + 1.0, + ), + ), + ) ) - image_arrays = scene.render_deformed_images( - render_mesh=render_mesh, - sim_spat_dim=3, - render_data=render_data, - part=part, - stage_image=True, + assert result.images is not None + np.save( + gold_2d_dir / "deformed_images.npy", + result.images[10, 0, :, :, 0], ) - np.save(gold_3d_dir / "deformed_images.npy", image_arrays[:, :, 120:]) - - # 4. calib_dict - calib_dict_data = { - "Cam0_Fx [pixels]": 4347.826086956522, - "Cam0_Fy [pixels]": 4347.826086956522, - "Cam0_Fs [pixels]": 0, - "Cam0_Kappa 1": 0.0, - "Cam0_Kappa 2": 0.0, - "Cam0_Kappa 3": 0.0, - "Cam0_P1": 0.0, - "Cam0_P2": 0.0, - "Cam0_Cx [pixels]": 10.0, - "Cam0_Cy [pixels]": 10.0, - "Cam1_Fx [pixels]": 4347.826086956522, - "Cam1_Fy [pixels]": 4347.826086956522, - "Cam1_Fs [pixels]": 0, - "Cam1_Kappa 1": 0.0, - "Cam1_Kappa 2": 0.0, - "Cam1_Kappa 3": 0.0, - "Cam1_P1": 0.0, - "Cam1_P2": 0.0, - "Cam1_Cx [pixels]": 10.0, - "Cam1_Cy [pixels]": 10.0, - "Tx [mm]": -128.46813489644606, - "Ty [mm]": 0.0, - "Tz [mm]": 34.42293299863527, - "Theta [deg]": 0.0, - "Phi [deg]": 15.000000000000009, - "Psi [deg]": 0.0, - } - with open(gold_3d_dir / "calib_dict.yaml", "w") as f: - yaml.safe_dump(calib_dict_data, f) - print("Gold generation complete.") + print("Finished generating 2D Blender Gold Outputs.") if __name__ == "__main__": diff --git a/scripts/gengold_blender_triangle.py b/scripts/gengold_blender_triangle.py new file mode 100644 index 000000000..1bdf50587 --- /dev/null +++ b/scripts/gengold_blender_triangle.py @@ -0,0 +1,19 @@ +"""Generate the committed Blender triangle image regression array.""" + +from pathlib import Path + +import numpy as np + +import pyvale.verif.renderverif as renderverif + + +def main() -> None: + """Write the trusted Blender regression image.""" + repository_root = Path(__file__).resolve().parents[1] + path = repository_root / "tests" / "render" / "gold_blender" / "triangle.npy" + path.parent.mkdir(parents=True, exist_ok=True) + np.save(path, renderverif.render_triangle(path.parent / "output")) + + +if __name__ == "__main__": + main() diff --git a/scripts/gengold_render_conformance.py b/scripts/gengold_render_conformance.py new file mode 100644 index 000000000..19a7a9e36 --- /dev/null +++ b/scripts/gengold_render_conformance.py @@ -0,0 +1,112 @@ +#!/usr/bin/env python3 +"""Generate the committed 32-pixel render conformance gold data.""" + +import argparse +from pathlib import Path +from tempfile import TemporaryDirectory + +import numpy as np +from PIL import Image + +import pyvale.render as render +from pyvale.verif.renderconformance import ( + conformance_cases, + preview_range, + render_backend_case, +) + + +BACKENDS = ( + "blender", + "feebee", + "riley", +) +GOLD_DIRECTORIES = { + backend: f"gold_{backend}" + for backend in BACKENDS +} + + +def main() -> None: + """Render and deliberately write selected conformance baselines.""" + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "--write", + action="store_true", + help="write committed NumPy gold arrays", + ) + parser.add_argument( + "--tiff", + action=argparse.BooleanOptionalAction, + default=True, + help="write scaled 8-bit TIFF previews (default: enabled)", + ) + parser.add_argument( + "--backend", + action="append", + choices=BACKENDS, + help="generate only this backend; may be supplied more than once", + ) + arguments = parser.parse_args() + if not arguments.write: + parser.error("choose --write to refresh committed gold data") + + repository_root = Path(__file__).resolve().parents[1] + render_root = repository_root / "tests" / "render" + selected = tuple(arguments.backend or BACKENDS) + + for backend in selected: + if backend == "blender" and not render.blender_available(): + print( + "Skipping Blender because its optional backend is unavailable.", + ) + continue + + gold_dir = render_root / GOLD_DIRECTORIES[backend] + gold_dir.mkdir(parents=True, exist_ok=True) + + for case in conformance_cases(): + with TemporaryDirectory() as temporary_dir: + images = render_backend_case( + backend, + case, + Path(temporary_dir), + ) + array_path = gold_dir / f"{case.name}.npy" + np.save(array_path, images) + print(array_path) + + if arguments.tiff: + _write_tiffs( + gold_dir, + case.name, + images, + preview_range(backend), + ) + + +def _write_tiffs( + output_dir: Path, + case_name: str, + images: np.ndarray, + intensity_range: tuple[float, float], +) -> None: + """Write every frame, camera, and channel as a scaled 8-bit TIFF.""" + lower, upper = intensity_range + scaled = np.clip((images - lower) / (upper - lower), 0.0, 1.0) + scaled = np.rint(255.0 * scaled).astype(np.uint8) + + for frame in range(scaled.shape[0]): + for camera in range(scaled.shape[1]): + for channel in range(scaled.shape[4]): + name = ( + f"{case_name}_f{frame:03d}_c{camera:02d}" + f"_ch{channel:02d}.tiff" + ) + Image.fromarray( + scaled[frame, camera, :, :, channel], + ).save(output_dir / name) + + +if __name__ == "__main__": + main() diff --git a/scripts/gengold_riley_rabbits.py b/scripts/gengold_riley_rabbits.py new file mode 100644 index 000000000..df5adc6a4 --- /dev/null +++ b/scripts/gengold_riley_rabbits.py @@ -0,0 +1,39 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Generate committed Riley rabbit multi-mesh image gold data.""" + +import argparse +import hashlib +from pathlib import Path + +import numpy as np + +import pyvale.render as render +import pyvale.verif.renderverif as renderverif + + +def main() -> None: + """Print a hash or write the trusted rabbit image array.""" + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--write", action="store_true") + arguments = parser.parse_args() + + result = render.Riley(renderverif.riley_memory_config()).render( + renderverif.riley_rabbit_scene(), + ) + assert result.images is not None + digest = hashlib.sha256(result.images.tobytes()).hexdigest() + if arguments.write: + repository_root = Path(__file__).resolve().parents[1] + path = repository_root / "tests" / "render" / "gold_riley" / "rabbits.npy" + np.save(path, result.images) + print(path) + else: + print(digest) + + +if __name__ == "__main__": + main() diff --git a/scripts/gengold_sim_txt.py b/scripts/gengold_sim_txt.py index 5fd114ae8..2db6cd173 100644 --- a/scripts/gengold_sim_txt.py +++ b/scripts/gengold_sim_txt.py @@ -5,7 +5,7 @@ #=============================================================================== from pathlib import Path -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.mooseherder as mh from pyvale.dataio.simsaver import (SimDataSaveOpts, ESaveFieldOpt, diff --git a/scripts/loadgold_sim_txt_byfield.py b/scripts/loadgold_sim_txt_byfield.py index c7bbe1085..8e59602cb 100644 --- a/scripts/loadgold_sim_txt_byfield.py +++ b/scripts/loadgold_sim_txt_byfield.py @@ -6,7 +6,7 @@ from pathlib import Path import pyvale.sensorsim as sens -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.dataio as io import pyvale.mooseherder as mh import pyvale.verif.matchsimdata as verif diff --git a/scripts/loadgold_sim_txt_bytime.py b/scripts/loadgold_sim_txt_bytime.py index 84ec4b399..ebb32f435 100644 --- a/scripts/loadgold_sim_txt_bytime.py +++ b/scripts/loadgold_sim_txt_bytime.py @@ -7,7 +7,7 @@ from pathlib import Path import pyvale.sensorsim as sens import pyvale.dataio as io -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.mooseherder as mh import pyvale.verif.matchsimdata as verif diff --git a/scripts/render_docs_images.py b/scripts/render_docs_images.py new file mode 100644 index 000000000..8655e78b9 --- /dev/null +++ b/scripts/render_docs_images.py @@ -0,0 +1,308 @@ +#!/usr/bin/env python3 +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Build documentation artifacts from rendered examples. + +Run the render examples first so their standard directories exist below +``pyvale-output``. This script selects the documented first-frame outputs, +converts them to PNG, combines stereo pairs and comparison variants side by +side, and links the artifacts into the Sphinx ``_static`` directory. +""" + +from __future__ import annotations + +import os +import shutil +from dataclasses import dataclass +from pathlib import Path + +import imageio.v3 as iio +import numpy as np + + +REPO_ROOT = Path(__file__).resolve().parents[1] +OUTPUT_ROOT = REPO_ROOT / "pyvale-output" +IMAGES_ROOT = REPO_ROOT / "images" +STATIC_ROOT = REPO_ROOT / "docs" / "source" / "_static" +STEREO_GAP_PX = 16 + + +@dataclass(frozen=True, slots=True) +class ImageArtifact: + """One documentation image selected from an example output directory.""" + + example: str + sources: tuple[str, ...] + output_stem: str | None = None + + @property + def filename(self) -> str: + """Return the canonical documentation image filename.""" + return f"{self.output_stem or self.example}.png" + + +# Sources are explicit by design: this records the representative variant, +# first frame, and stereo camera ordering used in the documentation. +IMAGE_ARTIFACTS = ( + ImageArtifact( + "render3d_ex1a_riley_quickstart", + ("cam0_frame0_field0.bmp",), + ), + ImageArtifact( + "render3d_ex1b_riley_sphere200", + ("cam0_frame0_field0.bmp",), + ), + ImageArtifact( + "render3d_ex1c_riley_rabbits", + ("cam0_frame0_field0.bmp",), + ), + ImageArtifact( + "render3d_ex1d_riley_dicuq", + ("cam0_frame0_field0.bmp", "cam1_frame0_field0.bmp"), + ), + ImageArtifact( + "render3d_ex1e_riley_dic_from_exodus", + ("cam0_frame0_field0.bmp", "cam1_frame0_field0.bmp"), + ), + ImageArtifact( + "render3d_ex1f_riley_stereocal", + ("cam0_frame0_field0.bmp", "cam1_frame0_field0.bmp"), + ), + ImageArtifact( + "render3d_ex1g_riley_psf", + ("global_subpx_full/cam0_frame0_field0.bmp",), + ), + ImageArtifact( + "render3d_ex2a_blender_scene", + ("images/blenderimage_0.tiff",), + ), + ImageArtifact( + "render3d_ex2b_blender_deformation", + ("images/blenderimage_0.tiff",), + ), + ImageArtifact( + "render3d_ex2c_blender_stereo", + ( + "images/blenderimage_0_0.tiff", + "images/blenderimage_0_1.tiff", + ), + ), + ImageArtifact( + "render3d_ex2e_blender_stereo_deformation", + ( + "images/blenderimage_0_0.tiff", + "images/blenderimage_0_1.tiff", + ), + ), + ImageArtifact( + "render3d_ex2f_blender_calibration_target", + ( + "calimages/blendercal_0_0.tiff", + "calimages/blendercal_1_1.tiff", + ), + ), + ImageArtifact( + "renderuvs_ex1a_uv_planar_axes", + ( + "xy/cam0_frame0_field0.bmp", + "yz/cam0_frame0_field0.bmp", + "xz/cam0_frame0_field0.bmp", + ), + "renderuvs_ex1a_uv_planar_axes_axes", + ), + ImageArtifact( + "renderuvs_ex1a_uv_planar_axes", + ("speckle/cam0_frame0_field0.bmp",), + "renderuvs_ex1a_uv_planar_axes_speckle", + ), + ImageArtifact( + "renderuvs_ex1b_uv_texture_aspect", + ( + "aligned/contain/cam0_frame0_field0.bmp", + "aligned/fit_u/cam0_frame0_field0.bmp", + "aligned/fit_v/cam0_frame0_field0.bmp", + ), + "renderuvs_ex1b_uv_texture_aspect_aligned", + ), + ImageArtifact( + "renderuvs_ex1b_uv_texture_aspect", + ( + "rotated/contain/cam0_frame0_field0.bmp", + "rotated/fit_u/cam0_frame0_field0.bmp", + "rotated/fit_v/cam0_frame0_field0.bmp", + ), + "renderuvs_ex1b_uv_texture_aspect_rotated", + ), + ImageArtifact( + "renderuvs_ex1b_uv_texture_aspect", + ("physical_pitch/cam0_frame0_field0.bmp",), + "renderuvs_ex1b_uv_texture_aspect_physical_pitch", + ), + ImageArtifact( + "renderuvs_ex1c_uv_pixel_region", + ( + "seamless/cam0_frame0_field0.bmp", + "tiled_seam/cam0_frame0_field0.bmp", + "saturated/cam0_frame0_field0.bmp", + ), + ), + ImageArtifact( + "renderuvs_ex1d_uv_arbitrary_plane", + ("tilted/cam0_frame0_field0.bmp",), + ), + ImageArtifact( + "renderuvs_ex1e_uv_transform", + ( + "original/cam0_frame0_field0.bmp", + "transformed/cam0_frame0_field0.bmp", + ), + ), + ImageArtifact( + "dic_ex04_render_to_dic", + ("dic_ex04_render_to_dic.png",), + ), +) + +CALIBRATION_EXAMPLE = "render3d_ex2d_blender_calibration" +CALIBRATION_SOURCE = Path("calibration") / "calibration.yaml" +CALIBRATION_FILENAME = f"{CALIBRATION_EXAMPLE}.yaml" + + +def load_first_frame(path: Path) -> np.ndarray: + """Load one persisted image or the first canonical frame from NumPy.""" + if path.suffix.lower() == ".npy": + image = np.load(path) + if image.ndim == 5: + image = image[0, 0, :, :, 0] + elif image.ndim != 2: + raise ValueError( + f"Unsupported NumPy image shape {image.shape} in {path}." + ) + return image + + image = np.asarray(iio.imread(path)) + if image.ndim == 3 and image.shape[2] == 1: + image = image[:, :, 0] + if image.ndim not in (2, 3): + raise ValueError(f"Unsupported image shape {image.shape} in {path}.") + return image + + +def image_to_uint8(image: np.ndarray) -> np.ndarray: + """Convert one finite greyscale or colour image to documentation PNG data.""" + image = np.asarray(image) + if image.dtype == np.uint8: + return image + if image.dtype == np.bool_: + return image.astype(np.uint8) * 255 + + finite = np.isfinite(image) + if not np.any(finite): + raise ValueError("Cannot scale an image containing no finite values.") + + values = image.astype(np.float64) + value_min = float(np.min(values[finite])) + value_max = float(np.max(values[finite])) + values[~finite] = value_min + + if value_min >= 0.0 and value_max <= 1.0: + scaled = values * 255.0 + elif value_max > value_min: + scaled = 255.0 * (values - value_min) / (value_max - value_min) + else: + scaled = np.zeros_like(values) + return np.clip(np.rint(scaled), 0.0, 255.0).astype(np.uint8) + + +def combine_images(images: tuple[np.ndarray, ...]) -> np.ndarray: + """Return one image or combine comparison images with white separators.""" + if len(images) == 1: + return images[0] + first = images[0] + if any(image.ndim != first.ndim for image in images[1:]): + raise ValueError("Combined images must have matching channel layouts.") + if any(image.shape[0] != first.shape[0] for image in images[1:]): + raise ValueError("Combined images must have matching heights.") + + separator_shape = list(first.shape) + separator_shape[1] = STEREO_GAP_PX + separator = np.full(separator_shape, 255, dtype=np.uint8) + combined: list[np.ndarray] = [first] + for image in images[1:]: + combined.extend((separator, image)) + return np.concatenate(combined, axis=1) + + +def replace_static_link(artifact: Path) -> Path: + """Create the Sphinx static symlink for one generated artifact.""" + link = STATIC_ROOT / artifact.name + if link.is_symlink(): + link.unlink() + elif link.exists(): + raise FileExistsError(f"Refusing to replace non-symlink: {link}") + + target = Path(os.path.relpath(artifact, start=STATIC_ROOT)) + link.symlink_to(target) + return link + + +def validate_sources() -> None: + """Fail before writing anything when an expected example output is absent.""" + missing: list[Path] = [] + for artifact in IMAGE_ARTIFACTS: + example_dir = OUTPUT_ROOT / artifact.example + for source in artifact.sources: + path = example_dir / source + if not path.is_file(): + missing.append(path) + + calibration = OUTPUT_ROOT / CALIBRATION_EXAMPLE / CALIBRATION_SOURCE + if not calibration.is_file(): + missing.append(calibration) + + if missing: + paths = "\n".join(f" - {path}" for path in missing) + raise FileNotFoundError( + "Run the documented render and DIC examples before " + "generating " + f"documentation artifacts. Missing:\n{paths}" + ) + + +def main() -> None: + """Generate documentation images, calibration text, and static links.""" + validate_sources() + IMAGES_ROOT.mkdir(parents=True, exist_ok=True) + STATIC_ROOT.mkdir(parents=True, exist_ok=True) + + generated: list[Path] = [] + for artifact in IMAGE_ARTIFACTS: + example_dir = OUTPUT_ROOT / artifact.example + images = tuple( + image_to_uint8(load_first_frame(example_dir / source)) + for source in artifact.sources + ) + output_path = IMAGES_ROOT / artifact.filename + iio.imwrite(output_path, combine_images(images)) + replace_static_link(output_path) + generated.append(output_path) + + calibration_source = ( + OUTPUT_ROOT / CALIBRATION_EXAMPLE / CALIBRATION_SOURCE + ) + calibration_output = IMAGES_ROOT / CALIBRATION_FILENAME + shutil.copy2(calibration_source, calibration_output) + replace_static_link(calibration_output) + generated.append(calibration_output) + + print(f"Generated {len(generated)} documentation artifacts:") + for path in generated: + print(f" {path.relative_to(REPO_ROOT)}") + print(f"Static links: {STATIC_ROOT.relative_to(REPO_ROOT)}") + + +if __name__ == "__main__": + main() diff --git a/scripts/run_all_examples.py b/scripts/run_all_examples.py new file mode 100644 index 000000000..9cc21130f --- /dev/null +++ b/scripts/run_all_examples.py @@ -0,0 +1,204 @@ +#!/usr/bin/env python3 +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Run all pyvale gallery examples. + +Discovers example scripts in the sub-directories of ``src/pyvale/examples`` +listed in ``EXAMPLE_DIRS`` and executes each one in an isolated temporary +working directory. Each working directory links its standard +``pyvale-output`` path to the repository-level output directory, matching the +location used when examples are run standalone from the repository root. A +summary is printed at the end and the exit code is non-zero if any example +failed. +""" + +from __future__ import annotations + +import os +import shutil +import subprocess +import sys +import tempfile +import time +from pathlib import Path + + +REPO_ROOT = Path(__file__).resolve().parents[1] +EXAMPLES_ROOT = REPO_ROOT / "src" / "pyvale" / "examples" +OUTPUT_ROOT = REPO_ROOT / "pyvale-output" + +#: Sub-directories of ``src/pyvale/examples`` that contain examples to run. +EXAMPLE_DIRS = [ +# "basicsensorsim", +# "extsensorsim", +# "dic", +# "mooseherder", + "render3d", + "renderuvs", +] + +#: Examples that cannot run unattended because they open interactive GUI +#: windows or require unbundled local input files. +EXCLUDED_EXAMPLES = { + "ex01_region_of_interest.py", + "ex05_dic_challenge.py", + "ex06_hrdic.py", + "ex08_calibration.py", + "ex09_stereo.py", + "ex10_stereo_platehole.py", + "ex11_dic_chal.py", +} + +#: Maximum wall-clock time allowed per example. +TIMEOUT_S = 600.0 + +#: Non-script sibling files copied next to each example before it runs +#: (ROI definitions, calibration data, solver configuration files). +SUPPORT_FILE_GLOBS = ("*.txt", "*.yaml", "*.json") + + +def copy_support_files(script: Path, work_dir: Path) -> None: + """Copy an example's sibling support files into the working directory.""" + for pattern in SUPPORT_FILE_GLOBS: + for support_file in script.parent.glob(pattern): + shutil.copy2(support_file, work_dir / support_file.name) + + +def link_output_directory(work_dir: Path) -> None: + """Link an example working directory to the standard output directory.""" + OUTPUT_ROOT.mkdir(parents=True, exist_ok=True) + (work_dir / "pyvale-output").symlink_to( + OUTPUT_ROOT, + target_is_directory=True, + ) + + +def find_examples() -> list[Path]: + """Return the runnable example scripts in a stable run order.""" + examples: list[Path] = [] + for dir_name in EXAMPLE_DIRS: + directory = EXAMPLES_ROOT / dir_name + if not directory.is_dir(): + print(f"WARNING: example directory not found: {directory}") + continue + for script in sorted(directory.glob("ex*.py")): + if script.name not in EXCLUDED_EXAMPLES: + examples.append(script) + return examples + + +def run_example(script: Path, work_dir: Path) -> tuple[bool, float, str]: + """Run one example in ``work_dir``. + + Parameters + ---------- + script : pathlib.Path + The example script to execute. + work_dir : pathlib.Path + Temporary working directory the example runs in. + + Returns + ------- + tuple[bool, float, str] + Success flag, elapsed seconds, and a short status message. + """ + environment = os.environ.copy() + environment["MPLBACKEND"] = "Agg" + environment["PYVISTA_OFF_SCREEN"] = "true" + environment["QT_QPA_PLATFORM"] = "offscreen" + environment["PYTHONPATH"] = os.pathsep.join( + (str(REPO_ROOT / "src"), environment.get("PYTHONPATH", "")), + ).rstrip(os.pathsep) + + start_time = time.perf_counter() + try: + completed = subprocess.run( + (sys.executable, str(script)), + cwd=work_dir, + env=environment, + capture_output=True, + text=True, + timeout=TIMEOUT_S, + check=False, + ) + except subprocess.TimeoutExpired: + message = f"timed out after {TIMEOUT_S:.0f} s" + return False, time.perf_counter() - start_time, message + + elapsed = time.perf_counter() - start_time + if completed.returncode != 0: + message = f"exit code {completed.returncode}" + print("-" * 70) + print(f"FAILED: {script.name} ({message})") + if completed.stdout: + print("stdout:\n" + completed.stdout) + if completed.stderr: + print("stderr:\n" + completed.stderr) + print("-" * 70) + return False, elapsed, message + return True, elapsed, "ok" + + +def main() -> None: + """Run every discovered example and print a pass/fail summary.""" + examples = find_examples() + print(f"Running {len(examples)} examples from {len(EXAMPLE_DIRS)} " + f"directories (timeout {TIMEOUT_S:.0f} s each).\n") + + session_dir = Path(tempfile.mkdtemp(prefix="pyvale-examples-")) + passed: list[str] = [] + failed: list[tuple[str, str]] = [] + work_dirs: dict[str, Path] = {} + + for number, script in enumerate(examples, start=1): + label = f"{script.parent.name}/{script.name}" + print(f"[{number:>2}/{len(examples)}] RUN {label}", flush=True) + dir_name = script.parent.name + if dir_name not in work_dirs: + work_dirs[dir_name] = session_dir / dir_name + work_dirs[dir_name].mkdir(parents=True) + link_output_directory(work_dirs[dir_name]) + work_dir = work_dirs[dir_name] + copy_support_files(script, work_dir) + + success, elapsed, message = run_example(script, work_dir) + minutes = elapsed / 60.0 + if success: + passed.append(label) + print(f" PASS {label} ({minutes:.1f} min)") + else: + failed.append((label, message)) + print(f" FAIL {label} ({message})") + + skipped = sorted( + f"{directory.name}/{name}" + for directory in (EXAMPLES_ROOT / name for name in EXAMPLE_DIRS) + if directory.is_dir() + for name in EXCLUDED_EXAMPLES + if (directory / name).is_file() + ) + + print("\n" + "=" * 70) + print(f"EXAMPLE RUN COMPLETE: {len(passed)} passed, {len(failed)} failed, " + f"{len(skipped)} excluded") + if skipped: + print("\nExcluded (interactive GUI or unbundled input):") + for label in skipped: + print(f" SKIP {label}") + if failed: + print("\nFailed examples:") + for label, message in failed: + print(f" FAIL {label} ({message})") + print("=" * 70) + print(f"Example output kept for inspection: {OUTPUT_ROOT}") + print(f"Session support files kept for inspection: {session_dir}") + + if failed: + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/src/pyvale/simcases/run_all_cases.py b/scripts/run_all_simcases.py similarity index 93% rename from src/pyvale/simcases/run_all_cases.py rename to scripts/run_all_simcases.py index 4d566c75a..beb5e4c40 100644 --- a/src/pyvale/simcases/run_all_cases.py +++ b/scripts/run_all_simcases.py @@ -7,6 +7,7 @@ ================================================================================ ''' import time +from importlib.resources import files from pathlib import Path from pyvale.mooseherder import (MooseConfig, MooseRunner, @@ -16,7 +17,7 @@ NUM_CASES = 23 USER_DIR = Path.home() FORCE_GMSH = False -CASES_DIR = Path('src/simcases/') +CASES_DIR = Path(files("pyvale.data").joinpath("simulation", "simcases")) def run_one_case(case_str: str) -> None: print(80*'=') @@ -24,7 +25,7 @@ def run_one_case(case_str: str) -> None: print(80*'=') case_files = (case_str+'.geo',case_str+'.i') - case_dir = CASES_DIR / case_str + case_dir = CASES_DIR gmsh_run_time = 0.0 if (case_dir / case_files[0]).is_file(): @@ -66,4 +67,3 @@ def main() -> None: if __name__ == '__main__': main() - diff --git a/src/pyvale/simcases/run_example_cases.py b/scripts/run_example_simcases.py similarity index 93% rename from src/pyvale/simcases/run_example_cases.py rename to scripts/run_example_simcases.py index 3a230ecec..abdae95f4 100644 --- a/src/pyvale/simcases/run_example_cases.py +++ b/scripts/run_example_simcases.py @@ -7,6 +7,7 @@ ================================================================================ ''' import time +from importlib.resources import files from pathlib import Path from pyvale.mooseherder import (MooseConfig, MooseRunner, @@ -16,7 +17,7 @@ EXAMPLE_CASES = [13,16,17] USER_DIR = Path.home() FORCE_GMSH = False -CASES_DIR = Path('src/simcases/') +CASES_DIR = Path(files("pyvale.data").joinpath("simulation", "simcases")) def run_one_case(case_str: str) -> None: print(80*'=') @@ -24,7 +25,7 @@ def run_one_case(case_str: str) -> None: print(80*'=') case_files = (case_str+'.geo',case_str+'.i') - case_dir = CASES_DIR / case_str + case_dir = CASES_DIR gmsh_run_time = 0.0 if (case_dir / case_files[0]).is_file(): @@ -66,4 +67,3 @@ def main() -> None: if __name__ == '__main__': main() - diff --git a/src/pyvale/simcases/run_1case.py b/scripts/run_simcase.py similarity index 95% rename from src/pyvale/simcases/run_1case.py rename to scripts/run_simcase.py index 201e6e72a..af8e6e25e 100644 --- a/src/pyvale/simcases/run_1case.py +++ b/scripts/run_simcase.py @@ -18,7 +18,9 @@ #=============================================================================== CASE_FILES = (CASE_STR+'.geo',CASE_STR+'.i') -CASE_DIR = Path(files("pyvale.simcases").joinpath(CASE_FILES[1])).parent +CASE_DIR = Path( + files("pyvale.data").joinpath("simulation", "simcases", CASE_FILES[1]), +).parent USER_DIR = Path.home() @@ -57,4 +59,3 @@ def main() -> None: if __name__ == '__main__': main() - diff --git a/src/pyvale/__init__.py b/src/pyvale/__init__.py index 371a5c8ca..a56656d5b 100644 --- a/src/pyvale/__init__.py +++ b/src/pyvale/__init__.py @@ -14,10 +14,17 @@ virtually testing digital shadows/twins. """ -from . import dic -from . import strain -from . import blender -from . import sensorsim -from . import mooseherder -from . import dataset -from . import calib +__version__ = "2026.9.0" + +from . import data, dataio, dic, mooseherder, render, sensorsim, strain + +__all__ = [ + "__version__", + "data", + "dataio", + "dic", + "mooseherder", + "render", + "sensorsim", + "strain", +] diff --git a/src/pyvale/blender/blendercalibrationdata.py b/src/pyvale/blender/blendercalibrationdata.py index b8c6e9be8..3a0c7d9b4 100644 --- a/src/pyvale/blender/blendercalibrationdata.py +++ b/src/pyvale/blender/blendercalibrationdata.py @@ -14,4 +14,5 @@ class CalibrationData: plunge_lims: tuple = (-5, 5) plunge_step: int = 5 x_limit: float | None = None - y_limit: float | None = None \ No newline at end of file + y_limit: float | None = None + max_images: int | None = None diff --git a/src/pyvale/blender/blenderrenderdata.py b/src/pyvale/blender/blenderrenderdata.py index e6e88f1b5..caf85ab1b 100644 --- a/src/pyvale/blender/blenderrenderdata.py +++ b/src/pyvale/blender/blenderrenderdata.py @@ -9,7 +9,7 @@ from pathlib import Path # Pyvale -from pyvale.sensorsim.cameradata import CameraData +from pyvale.render.camera import Camera class RenderEngine(Enum): @@ -21,14 +21,18 @@ class RenderEngine(Enum): @dataclass(slots=True) class RenderData: - cam_data: CameraData | tuple[CameraData, CameraData] + cam_data: Camera | tuple[Camera, Camera] base_dir: Path | None = None dir_name: str = "images" samples: int = 2 engine: RenderEngine = RenderEngine.CYCLES + device: str = "CPU" max_bounces: int = 12 bit_size: int = 8 threads:int = 4 + seed: int = 0 + use_denoising: bool = True + use_adaptive_sampling: bool = True def __post_init__(self) -> None: if self.base_dir is None: diff --git a/src/pyvale/blender/blenderscene.py b/src/pyvale/blender/blenderscene.py index 632589d1e..93811635e 100644 --- a/src/pyvale/blender/blenderscene.py +++ b/src/pyvale/blender/blenderscene.py @@ -5,13 +5,13 @@ # ============================================================================== import numpy as np from pathlib import Path +import warnings + import bpy # Pyvale -from pyvale.sensorsim.cameradata import CameraData import pyvale.sensorsim.simtools as simtools -from pyvale.sensorsim.camerastereo import CameraStereo -from pyvale.sensorsim.rendermesh import RenderMesh +from pyvale.render import Camera, Mesh3D from pyvale.blender.blenderexceptions import BlenderError from pyvale.blender.blendertools import Tools @@ -49,7 +49,7 @@ def reset_scene(self) -> None: bg_node.inputs[0].default_value = [0.5, 0.5, 0.5, 1] bg_node.inputs[1].default_value = 0 - def add_camera(self, cam_data:CameraData) -> bpy.data.objects: + def add_camera(self, cam_data: Camera) -> bpy.data.objects: """Method to add a camera object within Blender. Parameters @@ -77,24 +77,27 @@ def add_camera(self, cam_data:CameraData) -> bpy.data.objects: pixels_num = (int(cam_data.pixels_num[0]), int(cam_data.pixels_num[1])) camera['sensor_px'] = pixels_num camera['px_size'] = cam_data.pixels_size - camera['k1'] = cam_data.k1 - camera['k2'] = cam_data.k2 - camera['k3'] = cam_data.k3 - camera['p1'] = cam_data.p1 - camera['p2'] = cam_data.p2 - camera['c0'] = cam_data.c0 - camera['c1'] = cam_data.c1 + camera['k1'] = cam_data.distortion_k1 + camera['k2'] = cam_data.distortion_k2 + camera['k3'] = cam_data.distortion_k3 + camera['p1'] = cam_data.distortion_p1 + camera['p2'] = cam_data.distortion_p2 new_cam.lens_unit = 'MILLIMETERS' new_cam.lens = cam_data.focal_length new_cam.sensor_fit = 'HORIZONTAL' - new_cam.sensor_width = cam_data.sensor_size[0] - new_cam.sensor_height = cam_data.sensor_size[1] - - if cam_data.fstop is not None: - new_cam.dof.focus_distance = cam_data.image_dist - new_cam.dof.use_dof = True - new_cam.dof.aperture_fstop = cam_data.fstop + new_cam.sensor_width = cam_data.pixels_num[0] * cam_data.pixels_size[0] + new_cam.sensor_height = cam_data.pixels_num[1] * cam_data.pixels_size[1] + if new_cam.sensor_width < 1.0 or new_cam.sensor_height < 1.0: + warnings.warn( + "Camera sensor size " + f"({new_cam.sensor_width:.4f} x {new_cam.sensor_height:.4f}) " + "mm is below Blender's 1 mm minimum and has been clamped, so " + "the rendered field of view is wider than the requested " + "camera definition.", + RuntimeWarning, + stacklevel=2, + ) new_cam.clip_end = ((cam_data.pos_world[2] - cam_data.roi_cent_world[2]) + 100) @@ -102,23 +105,24 @@ def add_camera(self, cam_data:CameraData) -> bpy.data.objects: bpy.context.scene.camera = camera return camera - def add_stereo_system(self, stereo_system: CameraStereo) -> tuple[bpy.data.objects, - bpy.data.objects]: - """A method to add a stereo camera system within Blender, given an - instance of the CameraStereo class (that describes a stereo system). + def add_stereo_system( + self, + cameras: tuple[Camera, Camera], + ) -> tuple[bpy.data.objects, bpy.data.objects]: + """Add an ordered pair of stereo cameras to the Blender scene. Parameters ---------- - stereo_system: CameraStereo - An instance of the CameraStereo class, describing a stereo system. + cameras : tuple[Camera, Camera] + The ordered stereo camera pair. Returns ------- tuple[bpy.data.objects, bpy.data.objects] A tuple of the Blender camera objects: camera 0 and camera 1. """ - cam0 = self.add_camera(stereo_system.cam_data_0) - cam1 = self.add_camera(stereo_system.cam_data_1) + cam0 = self.add_camera(cameras[0]) + cam1 = self.add_camera(cameras[1]) return cam0, cam1 def add_light(self, light_data: LightData) -> bpy.data.objects: @@ -156,17 +160,17 @@ def add_light(self, light_data: LightData) -> bpy.data.objects: return light_ob def add_part(self, - render_mesh: RenderMesh, + render_mesh: Mesh3D, sim_spat_dim: int) -> bpy.data.objects: - """A method to add a part mesh into Blender, given a RenderMeshData object. - This is done by taking the mesh information from the RenderMeshData + """Add a part mesh to Blender from a ``render.Mesh3D`` object. + This is done by taking the mesh information from the common mesh object and converting it into a form that is accepted by Blender. It should be noted that the object is placed at the origin and centred around its geometric centroid. Parameters ---------- - render_mesh: RenderMeshData + render_mesh: render.Mesh3D A dataclass containing the mesh information of the skinned simulation mesh. sim_spat_dim: int @@ -177,9 +181,9 @@ def add_part(self, bpy.data.objects The Blender part object that is created. """ - nodes_centred = simtools.centre_mesh_nodes(render_mesh.coords, - sim_spat_dim) - vertices = np.delete(nodes_centred, 3, axis=1) + nodes_centred = simtools.centre_mesh_nodes(render_mesh.coords.copy(), + sim_spat_dim) + vertices = nodes_centred[:, :3] faces = render_mesh.connectivity mesh = bpy.data.meshes.new("Part") @@ -262,7 +266,7 @@ def add_speckle(self, Tools.uv_unwrap_part(part, mm_px_resolution, cal) def _debug_deform(self, - render_mesh: RenderMesh, + render_mesh: Mesh3D, sim_spat_dim:int, part: bpy.data.objects) -> None: """A method to deform the Blender mesh object using the simulation results. @@ -279,15 +283,14 @@ def _debug_deform(self, The Blender part object which is to be deformed, normally as sample object. """ - render_mesh.coords = simtools.centre_mesh_nodes(render_mesh.coords, - sim_spat_dim) - timesteps = render_mesh.fields_render.shape[1] + timesteps = 0 if render_mesh.displacements is None else \ + render_mesh.displacements.shape[0] for timestep in range(1, timesteps): - deformed_nodes = simtools.get_deformed_nodes(timestep, - render_mesh) - if deformed_nodes is not None: + if render_mesh.displacements is not None: + deformed_nodes = render_mesh.coords + \ + render_mesh.displacements[timestep] Tools.deform_single_timestep(part, deformed_nodes) Tools.set_new_frame(part) @@ -326,8 +329,15 @@ def render_single_image(self, bpy.context.scene.render.image_settings.file_format = "TIFF" if render_data.engine == RenderEngine.CYCLES: + bpy.context.scene.cycles.device = render_data.device bpy.context.scene.cycles.samples = render_data.samples bpy.context.scene.cycles.max_bounces = render_data.max_bounces + bpy.context.scene.cycles.seed = render_data.seed + bpy.context.scene.cycles.use_animated_seed = False + bpy.context.scene.cycles.use_denoising = render_data.use_denoising + bpy.context.scene.cycles.use_adaptive_sampling = ( + render_data.use_adaptive_sampling + ) elif render_data.engine == RenderEngine.EEVEE: bpy.context.scene.eevee.taa_render_samples = render_data.samples @@ -375,7 +385,7 @@ def render_single_image(self, bpy.ops.render.render(write_still=True) def render_deformed_images(self, - render_mesh: RenderMesh, + render_mesh: Mesh3D, sim_spat_dim: int, render_data: RenderData, part: bpy.data.objects, @@ -385,7 +395,7 @@ def render_deformed_images(self, Parameters ---------- - render_mesh : RenderMeshData + render_mesh : render.Mesh3D A dataclass containing the skimmed mesh and simulation information needed to deform the sample. sim_spat_dim: int @@ -411,9 +421,8 @@ def render_deformed_images(self, 3D setups, the images in the stack alternate between camera 0 and camera 1. """ - render_mesh.coords = simtools.centre_mesh_nodes(render_mesh.coords, - sim_spat_dim) - timesteps = render_mesh.fields_render.shape[1] + timesteps = 0 if render_mesh.displacements is None else \ + render_mesh.displacements.shape[0] # Render parameters bpy.context.scene.render.engine = render_data.engine.value @@ -424,8 +433,15 @@ def render_deformed_images(self, bpy.context.scene.render.image_settings.file_format = "TIFF" if render_data.engine == RenderEngine.CYCLES: + bpy.context.scene.cycles.device = render_data.device bpy.context.scene.cycles.samples = render_data.samples bpy.context.scene.cycles.max_bounces = render_data.max_bounces + bpy.context.scene.cycles.seed = render_data.seed + bpy.context.scene.cycles.use_animated_seed = False + bpy.context.scene.cycles.use_denoising = render_data.use_denoising + bpy.context.scene.cycles.use_adaptive_sampling = ( + render_data.use_adaptive_sampling + ) elif render_data.engine == RenderEngine.EEVEE: bpy.context.scene.eevee.taa_render_samples = render_data.samples @@ -438,9 +454,9 @@ def render_deformed_images(self, image_arrays = [] for timestep in range(0, timesteps): - deformed_nodes = simtools.get_deformed_nodes(timestep, - render_mesh) - if deformed_nodes is not None: + if render_mesh.displacements is not None: + deformed_nodes = render_mesh.coords + \ + render_mesh.displacements[timestep] Tools.deform_single_timestep(part, deformed_nodes) Tools.set_new_frame(part) @@ -482,11 +498,3 @@ def render_deformed_images(self, - - - - - - - - diff --git a/src/pyvale/blender/blendertools.py b/src/pyvale/blender/blendertools.py index 01807435d..69deda254 100644 --- a/src/pyvale/blender/blendertools.py +++ b/src/pyvale/blender/blendertools.py @@ -359,8 +359,15 @@ def render_calibration_images(render_data: RenderData, bpy.context.scene.render.image_settings.file_format = "TIFF" if render_data.engine == RenderEngine.CYCLES: + bpy.context.scene.cycles.device = render_data.device bpy.context.scene.cycles.samples = render_data.samples bpy.context.scene.cycles.max_bounces = render_data.max_bounces + bpy.context.scene.cycles.seed = render_data.seed + bpy.context.scene.cycles.use_animated_seed = False + bpy.context.scene.cycles.use_denoising = render_data.use_denoising + bpy.context.scene.cycles.use_adaptive_sampling = ( + render_data.use_adaptive_sampling + ) elif render_data.engine == RenderEngine.EEVEE: bpy.context.scene.eevee.taa_render_samples = render_data.samples @@ -412,7 +419,16 @@ def render_calibration_images(render_data: RenderData, if isinstance(render_data.cam_data, tuple): cam_count = 0 - for cam in [obj for obj in bpy.data.objects if obj.type == "CAMERA"]: + cameras = [ + obj for obj in bpy.data.objects + if obj.type == "CAMERA" + ] + for cam in cameras: + if ( + calibration_data.max_images is not None + and render_counter >= calibration_data.max_images + ): + break bpy.context.scene.camera = cam cam_data_render = render_data.cam_data[cam_count] bpy.context.scene.render.resolution_x = cam_data_render.pixels_num[0] @@ -421,7 +437,13 @@ def render_calibration_images(render_data: RenderData, bpy.context.scene.render.filepath = str(save_dir / filename) bpy.ops.render.render(write_still=True) cam_count += 1 - render_counter += 1 + render_counter += 1 + + if ( + calibration_data.max_images is not None + and render_counter >= calibration_data.max_images + ): + return render_counter print('Total number of calibration images = ' + str(render_counter)) return render_counter @@ -442,7 +464,3 @@ def check_for_GPU() -> bool: if device.type in accepted_gpus: return True return False - - - - diff --git a/src/pyvale/data/__init__.py b/src/pyvale/data/__init__.py index 1f166ab71..37e20462f 100644 --- a/src/pyvale/data/__init__.py +++ b/src/pyvale/data/__init__.py @@ -1,5 +1,3 @@ -#=============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -#=============================================================================== \ No newline at end of file +"""Packaged example and regression data for :mod:`pyvale`.""" + +from .dataset import * diff --git a/src/pyvale/data/cal_target.tiff b/src/pyvale/data/calibration/cal_target.tiff similarity index 100% rename from src/pyvale/data/cal_target.tiff rename to src/pyvale/data/calibration/cal_target.tiff diff --git a/src/pyvale/data/calib.caldat b/src/pyvale/data/calibration/calib.caldat similarity index 100% rename from src/pyvale/data/calib.caldat rename to src/pyvale/data/calibration/calib.caldat diff --git a/src/pyvale/dataset/dataset.py b/src/pyvale/data/dataset.py similarity index 72% rename from src/pyvale/dataset/dataset.py rename to src/pyvale/data/dataset.py index 0f648dd3e..8a661c2fa 100644 --- a/src/pyvale/dataset/dataset.py +++ b/src/pyvale/data/dataset.py @@ -5,15 +5,20 @@ #=============================================================================== """ -Accesors for data that comes pre-packaged with pyvale for demonstrating its +Accessors for data that comes pre-packaged with pyvale for demonstrating its functionality. This includes moose simulation outputs as exodus files, input files for moose and gmsh for additional simulation cases, and images required for testing the image deformation and digital image correlation modules. """ from enum import Enum -from pathlib import Path from importlib.resources import files +from pathlib import Path + +import numpy as np +import riley + +from pyvale.render.mesh import EElementType SIM_CASE_COUNT = 26 """Constant describing the number of simulation test case input files for moose @@ -59,8 +64,13 @@ class DataSetError(Exception): """ +def _data_path(*parts: str) -> Path: + """Return an installed path below the :mod:`pyvale.data` package.""" + return Path(files("pyvale.data").joinpath(*parts)) + + def sim_case_input_file_path(case_num: int) -> Path: - """Gets the path to MOOSE input file (*.i) for a particular simulation + """Gets the path to MOOSE input file (``*.i``) for a particular simulation case. Parameters @@ -72,7 +82,7 @@ def sim_case_input_file_path(case_num: int) -> Path: Returns ------- Path - Path object to the MOOSE *.i file for the selected simulation case. + Path object to the MOOSE ``*.i`` file for the selected simulation case. Raises ------ @@ -87,14 +97,14 @@ def sim_case_input_file_path(case_num: int) -> Path: case_num_str = str(case_num).zfill(2) case_file = f"case{case_num_str}.i" - return Path(files("pyvale.simcases").joinpath(case_file)) + return _data_path("simulation", "simcases", case_file) def sim_case_gmsh_file_path(case_num: int) -> Path | None: - """Gets the path to Gmsh input file (*.geo) for a particular simulation + """Gets the path to Gmsh input file (``*.geo``) for a particular simulation case. Note that not all simulation cases use Gmsh for geometry and mesh generation. If the specified simulation case does not have an associated - Gmsh *.geo file. In this case 'None' is returned + Gmsh ``*.geo`` file, 'None' is returned. Parameters ---------- @@ -105,8 +115,8 @@ def sim_case_gmsh_file_path(case_num: int) -> Path | None: Returns ------- Path | None - Path object to the Gmsh *.geo file for the selected simulation case. - Returns None if there is no *.geo for this simulation case. + Path object to the Gmsh ``*.geo`` file for the selected simulation case. + Returns None if there is no ``*.geo`` for this simulation case. Raises ------ @@ -121,7 +131,7 @@ def sim_case_gmsh_file_path(case_num: int) -> Path | None: case_num_str = str(case_num).zfill(2) case_file = f"case{case_num_str}.geo" - case_path = Path(files("pyvale.simcases").joinpath(case_file)) + case_path = _data_path("simulation", "simcases", case_file) if case_path.is_file(): return case_path @@ -131,15 +141,16 @@ def sim_case_gmsh_file_path(case_num: int) -> Path | None: def dic_pattern_5mpx_path() -> Path: """Path to a 5 mega-pixel speckle pattern image (2464 x 2056 pixels) - with 8 bit resolution stored as a *.tiff. Speckles are sampled by + with 8 bit resolution stored as a ``*.tiff``. Speckles are sampled by 5 pixels. A gaussian blur has been applied to the image to remove sharp transitions from black to white. Path - Path to the *.tiff file containing the speckle pattern. + Path to the ``*.tiff`` file containing the speckle pattern. """ - return Path(files("pyvale.data") - .joinpath("optspeckle_2464x2056px_spec5px_8bit_gblur1px.tiff")) + return _data_path( + "render", "patterns", "optspeckle_2464x2056px_spec5px_8bit_gblur1px.tiff", + ) def thermal_2d_path() -> Path: @@ -158,7 +169,7 @@ def thermal_2d_path() -> Path: Path Path to the exodus (``*.e``) output file for this simulation case. """ - return Path(files("pyvale.data").joinpath("case18_out.e")) + return _data_path("simulation", "exodus", "case18_out.e") def thermal_3d_path() -> Path: @@ -173,7 +184,7 @@ def thermal_3d_path() -> Path: The simulation parameters can be found in the corresponding MOOSE input file: case16.i which can be retrieved using `sim_case_input_file_path` - in this class. Note that this case uses a Gmsh *.geo file for geometry + in this class. Note that this case uses a Gmsh ``*.geo`` file for geometry and mesh creation. Returns @@ -181,7 +192,7 @@ def thermal_3d_path() -> Path: Path Path to the exodus (``*.e``) output file for this simulation case. """ - return Path(files("pyvale.data").joinpath("case16_out.e")) + return _data_path("simulation", "exodus", "case16_out.e") def mechanical_2d_path() -> Path: @@ -192,7 +203,7 @@ def mechanical_2d_path() -> Path: The simulation parameters can be found in the corresponding MOOSE input file: case17.i which can be retrieved using `sim_case_input_file_path` - in this class. Note that this case uses a Gmsh *.geo file for geometry + in this class. Note that this case uses a Gmsh ``*.geo`` file for geometry and mesh creation. Returns @@ -200,7 +211,7 @@ def mechanical_2d_path() -> Path: Path Path to the exodus (``*.e``) output file for this simulation case. """ - return Path(files("pyvale.data").joinpath("case17_out.e")) + return _data_path("simulation", "exodus", "case17_out.e") def thermomechanical_2d_path() -> Path: @@ -220,7 +231,7 @@ def thermomechanical_2d_path() -> Path: Path Path to the exodus (``*.e``) output file for this simulation case. """ - return Path(files("pyvale.data").joinpath("case18_out.e")) + return _data_path("simulation", "exodus", "case18_out.e") def thermomechanical_3d_path() -> Path: @@ -241,7 +252,7 @@ def thermomechanical_3d_path() -> Path: Path Path to the exodus (``*.e``) output file for this simulation case. """ - return Path(files("pyvale.data").joinpath("case16_out.e")) + return _data_path("simulation", "exodus", "case16_out.e") def thermomechanical_2d_experiment_paths() -> list[Path]: @@ -264,8 +275,10 @@ def thermomechanical_2d_experiment_paths() -> list[Path]: list[Path] Paths to the exodus (``*.e``) output files for this simulated experiment. """ - return [Path(files("pyvale.data").joinpath("case18_out.e")), - Path(files("pyvale.data").joinpath("case18_d_out.e"))] + return [ + _data_path("simulation", "exodus", "case18_out.e"), + _data_path("simulation", "exodus", "case18_d_out.e"), + ] def thermomechanical_3d_experiment_paths() -> list[Path]: """List of paths to MOOSE simulation output in exodus format. This case is a @@ -290,8 +303,10 @@ def thermomechanical_3d_experiment_paths() -> list[Path]: Paths to the exodus (``*.e``) output files for this simulated experiment. """ - return [Path(files("pyvale.data").joinpath("case16_out.e")), - Path(files("pyvale.data").joinpath("case16_d_out.e"))] + return [ + _data_path("simulation", "exodus", "case16_out.e"), + _data_path("simulation", "exodus", "case16_d_out.e"), + ] def render_mechanical_3d_path() -> Path: @@ -306,7 +321,7 @@ def render_mechanical_3d_path() -> Path: Path Path to the exodus (``*.e``) output file for this simulation case. """ - return Path(files("pyvale.data").joinpath("case26_out.e")) + return _data_path("simulation", "exodus", "case26_out.e") def element_case_input_path(elem_type: EElemTest) -> Path: @@ -327,8 +342,7 @@ def element_case_input_path(elem_type: EElemTest) -> Path: Path Path to the moose input file (.i) for this simulation case. """ - return Path(files("pyvale.simcases") - .joinpath(f"case00_{elem_type.value}.i")) + return _data_path("simulation", "simcases", f"case00_{elem_type.value}.i") @@ -350,8 +364,9 @@ def element_case_output_path(elem_type: EElemTest) -> Path: Path Path to the exodus (``*.e``) output file for this simulation case. """ - return Path(files("pyvale.data") - .joinpath(f"case00_{elem_type.value}_out.e")) + return _data_path( + "simulation", "exodus", f"case00_{elem_type.value}_out.e", + ) def dic_plate_with_hole_cam0_ref() -> Path: @@ -369,8 +384,7 @@ def dic_plate_with_hole_cam0_ref() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("hole_cam0_frame00.tiff")) + return _data_path("dic", "plate_hole", "hole_cam0_frame00.tiff") def dic_plate_with_hole_cam1_ref() -> Path: """ @@ -387,8 +401,7 @@ def dic_plate_with_hole_cam1_ref() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("hole_cam1_frame00.tiff")) + return _data_path("dic", "plate_hole", "hole_cam1_frame00.tiff") def dic_plate_with_hole_cam0_def() -> Path: @@ -406,8 +419,7 @@ def dic_plate_with_hole_cam0_def() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("hole_cam0_frame*.tiff")) + return _data_path("dic", "plate_hole", "hole_cam0_frame*.tiff") def dic_plate_with_hole_cam1_def() -> Path: """ @@ -424,8 +436,7 @@ def dic_plate_with_hole_cam1_def() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("hole_cam1_frame*.tiff")) + return _data_path("dic", "plate_hole", "hole_cam1_frame*.tiff") @@ -444,8 +455,7 @@ def dic_plate_with_hydro_cam0_ref() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("hydro_cam0_frame00.tiff")) + return _data_path("dic", "plate_hydro", "hydro_cam0_frame00.tiff") def dic_plate_with_hydro_cam1_ref() -> Path: """ @@ -462,8 +472,7 @@ def dic_plate_with_hydro_cam1_ref() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("hydro_cam1_frame00.tiff")) + return _data_path("dic", "plate_hydro", "hydro_cam1_frame00.tiff") def dic_plate_with_hydro_cam0_def() -> Path: @@ -481,8 +490,7 @@ def dic_plate_with_hydro_cam0_def() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("hydro_cam0_frame*.tiff")) + return _data_path("dic", "plate_hydro", "hydro_cam0_frame*.tiff") def dic_plate_with_hydro_cam1_def() -> Path: """ @@ -499,8 +507,7 @@ def dic_plate_with_hydro_cam1_def() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("hydro_cam1_frame*.tiff")) + return _data_path("dic", "plate_hydro", "hydro_cam1_frame*.tiff") @@ -519,8 +526,7 @@ def dic_plate_rigid_cam0_ref() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("rigid_cam0_frame00.tiff")) + return _data_path("dic", "plate_rigid", "rigid_cam0_frame00.tiff") def dic_plate_rigid_cam0_def() -> Path: @@ -533,8 +539,7 @@ def dic_plate_rigid_cam0_def() -> Path: Path Path to the deformation images (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("rigid_cam0_frame*.tiff")) + return _data_path("dic", "plate_rigid", "rigid_cam0_frame*.tiff") def dic_plate_rigid_cam1_ref() -> Path: @@ -552,8 +557,7 @@ def dic_plate_rigid_cam1_ref() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("rigid_cam1_frame00.tiff")) + return _data_path("dic", "plate_rigid", "rigid_cam1_frame00.tiff") def dic_plate_rigid_cam1_def() -> Path: @@ -566,14 +570,13 @@ def dic_plate_rigid_cam1_def() -> Path: Path Path to the deformation images (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("rigid_cam1_frame*.tiff")) + return _data_path("dic", "plate_rigid", "rigid_cam1_frame*.tiff") def dic_plate_rigid_cam0_def_small() -> list[Path]: """ Returns rigid_cam0_frame0000.tiff to rigid_cam1_frame0010.tiff. """ - data_dir = files("pyvale.data") + data_dir = files("pyvale.data").joinpath("dic", "plate_rigid") return [ Path(data_dir.joinpath(f"rigid_cam0_frame{i:02d}.tiff")) @@ -584,7 +587,7 @@ def dic_plate_rigid_cam1_def_small() -> list[Path]: """ Returns rigid_cam1_frame0000.tiff to rigid_cam1_frame0010.tiff. """ - data_dir = files("pyvale.data") + data_dir = files("pyvale.data").joinpath("dic", "plate_rigid") return [ Path(data_dir.joinpath(f"rigid_cam1_frame{i:02d}.tiff")) @@ -601,7 +604,7 @@ def dic_plate_rigid_cam0_def_10px() -> Path: Path Path to the 25 px deformed image (``.tiff``). """ - return Path(files("pyvale.data").joinpath("rigid_cam0_frame11.tiff")) + return _data_path("dic", "plate_rigid", "rigid_cam0_frame11.tiff") def dic_plate_rigid_cam0_def_25px() -> Path: @@ -614,7 +617,7 @@ def dic_plate_rigid_cam0_def_25px() -> Path: Path Path to the 25 px deformed image (``.tiff``). """ - return Path(files("pyvale.data").joinpath("rigid_cam0_frame12.tiff")) + return _data_path("dic", "plate_rigid", "rigid_cam0_frame12.tiff") def dic_plate_rigid_cam0_def_50px() -> Path: @@ -627,7 +630,7 @@ def dic_plate_rigid_cam0_def_50px() -> Path: Path Path to the 50px deformed image (``.tiff``). """ - return Path(files("pyvale.data").joinpath("rigid_cam0_frame13.tiff")) + return _data_path("dic", "plate_rigid", "rigid_cam0_frame13.tiff") def dic_chal_2d_ref() -> Path: @@ -642,8 +645,9 @@ def dic_chal_2d_ref() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("DIC_Challenge_Star_Noise_Ref.tiff")) + return _data_path( + "dic", "challenge", "DIC_Challenge_Star_Noise_Ref.tiff", + ) def dic_chal_2d_def() -> Path: @@ -658,8 +662,9 @@ def dic_chal_2d_def() -> Path: Path Path to the deformed image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("DIC_Challenge_Star_Noise_Def.tiff")) + return _data_path( + "dic", "challenge", "DIC_Challenge_Star_Noise_Def.tiff", + ) def dic_chal_3d_cam0() -> Path: @@ -680,8 +685,9 @@ def dic_chal_3d_cam0() -> Path: Path Path to the reference image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("Step01_00,00-sys1-0000_0.tif")) + return _data_path( + "dic", "stereo_challenge", "Step01_00,00-sys1-0000_0.tif", + ) def dic_chal_3d_cam1() -> Path: @@ -702,8 +708,9 @@ def dic_chal_3d_cam1() -> Path: Path Path to the deformed image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("Step01_00,00-sys1-0000_1.tif")) + return _data_path( + "dic", "stereo_challenge", "Step01_00,00-sys1-0000_1.tif", + ) def cal_target() -> Path: """ @@ -714,15 +721,117 @@ def cal_target() -> Path: Path Path to the image (``.tiff``). """ - return Path(files("pyvale.data") - .joinpath("cal_target.tiff")) + return _data_path("calibration", "cal_target.tiff") + + +def riley_speckle_texture_path() -> Path: + """Return the texture packaged for the Riley parity examples.""" + return _data_path("render", "riley", "textures", "speckle.bmp") + + +def riley_cal_target_texture_path() -> Path: + """Return the Riley stereo-calibration target texture.""" + return _data_path( + "render", + "riley", + "textures", + "cal_target-simple.tiff", + ) + + +def riley_sphere200_case_path() -> Path: + """Return the Riley Tri6 sphere demonstration data directory.""" + return _data_path("render", "riley", "min", "tri6_sphere200") + + +def riley_platehole_csv_case_path() -> Path: + """Return the Riley plate-with-hole CSV demonstration data directory.""" + return _data_path("render", "riley", "fe", "platehole3d_2mr_63f") + + +def riley_platehole_exodus_path() -> Path: + """Return the Riley plate-with-hole Exodus demonstration file.""" + return _data_path( + "render", + "riley", + "fe", + "platehole3d_2mr_63f.e", + ) + + +def riley_stereocal_case_path() -> Path: + """Return the Riley stereo-calibration mesh data directory.""" + return _data_path("render", "riley", "calplate", "tri3_calplate3d") + + +def riley_rabbit_case_path( + rabbit_name: str, + topology: EElementType, +) -> Path: + """Return one Riley rabbit mesh case packaged with pyvale. + + Parameters + ---------- + rabbit_name : str + One of ``"riley"`` or ``"feebs"``. + topology : EElementType + One of the supported Riley surface topologies. + """ + path = _data_path( + "render", + "riley", + "rabbits", + f"{rabbit_name}_{topology.value}", + ) + if not path.is_dir(): + raise DataSetError( + f"Unknown Riley rabbit case: {rabbit_name}_{topology.value}." + ) + return path + + +def riley_rabbit_meshes() -> list[riley.Mesh]: + """Load the packaged Riley TRI3 rabbit meshes with the speckle texture. + + Returns + ------- + list[riley.Mesh] + The ``"riley"`` and ``"feebs"`` TRI3 surface meshes normalised to + the shared mesh convention and textured with the packaged speckle + image. + """ + from pyvale.dataio import SimData, enforce_mesh_convention + + texture = riley.load_texture_u8(str(riley_speckle_texture_path())) + meshes: list[riley.Mesh] = [] + for rabbit_name in ("riley", "feebs"): + data_path = riley_rabbit_case_path(rabbit_name, EElementType.TRI3) + mesh_data = enforce_mesh_convention(SimData( + coords=np.loadtxt(data_path / "coords.csv", delimiter=","), + connect={ + "connect1": np.loadtxt( + data_path / "connectivity.csv", + delimiter=",", + dtype=np.uintp, + ), + }, + )) + assert mesh_data.coords is not None and mesh_data.connect is not None + uvs = np.loadtxt(data_path / "uvs.csv", delimiter=",") + meshes.append(riley.Mesh( + riley.MeshType.tri3, + mesh_data.coords, + mesh_data.connect["connect1"], + shader_type=riley.ShaderType.tex, uvs=uvs, texture=texture, + )) + return meshes #TODO def valid_data_dir() -> Path: - return Path(str(files("pyvale.data.valid"))) + return _data_path("valid") def valid_data_csvs() -> list[Path]: - data_dir = files("pyvale.data.valid") + data_dir = files("pyvale.data").joinpath("valid") return [Path(str(ff)) for ff in data_dir.glob("*.csv")] diff --git a/src/pyvale/data/DIC_Challenge_Star_Noise_Def.tiff b/src/pyvale/data/dic/challenge/DIC_Challenge_Star_Noise_Def.tiff similarity index 100% rename from src/pyvale/data/DIC_Challenge_Star_Noise_Def.tiff rename to src/pyvale/data/dic/challenge/DIC_Challenge_Star_Noise_Def.tiff diff --git a/src/pyvale/data/DIC_Challenge_Star_Noise_Ref.tiff b/src/pyvale/data/dic/challenge/DIC_Challenge_Star_Noise_Ref.tiff similarity index 100% rename from src/pyvale/data/DIC_Challenge_Star_Noise_Ref.tiff rename to src/pyvale/data/dic/challenge/DIC_Challenge_Star_Noise_Ref.tiff diff --git a/src/pyvale/data/hole_cam0_frame00.tiff b/src/pyvale/data/dic/plate_hole/hole_cam0_frame00.tiff similarity index 100% rename from src/pyvale/data/hole_cam0_frame00.tiff rename to src/pyvale/data/dic/plate_hole/hole_cam0_frame00.tiff diff --git a/src/pyvale/data/hole_cam0_frame05.tiff b/src/pyvale/data/dic/plate_hole/hole_cam0_frame05.tiff similarity index 100% rename from src/pyvale/data/hole_cam0_frame05.tiff rename to src/pyvale/data/dic/plate_hole/hole_cam0_frame05.tiff diff --git a/src/pyvale/data/hole_cam0_frame10.tiff b/src/pyvale/data/dic/plate_hole/hole_cam0_frame10.tiff similarity index 100% rename from src/pyvale/data/hole_cam0_frame10.tiff rename to src/pyvale/data/dic/plate_hole/hole_cam0_frame10.tiff diff --git a/src/pyvale/data/hole_cam1_frame00.tiff b/src/pyvale/data/dic/plate_hole/hole_cam1_frame00.tiff similarity index 100% rename from src/pyvale/data/hole_cam1_frame00.tiff rename to src/pyvale/data/dic/plate_hole/hole_cam1_frame00.tiff diff --git a/src/pyvale/data/hole_cam1_frame05.tiff b/src/pyvale/data/dic/plate_hole/hole_cam1_frame05.tiff similarity index 100% rename from src/pyvale/data/hole_cam1_frame05.tiff rename to src/pyvale/data/dic/plate_hole/hole_cam1_frame05.tiff diff --git a/src/pyvale/data/hole_cam1_frame10.tiff b/src/pyvale/data/dic/plate_hole/hole_cam1_frame10.tiff similarity index 100% rename from src/pyvale/data/hole_cam1_frame10.tiff rename to src/pyvale/data/dic/plate_hole/hole_cam1_frame10.tiff diff --git a/src/pyvale/data/hydro_cam0_frame00.tiff b/src/pyvale/data/dic/plate_hydro/hydro_cam0_frame00.tiff similarity index 100% rename from src/pyvale/data/hydro_cam0_frame00.tiff rename to src/pyvale/data/dic/plate_hydro/hydro_cam0_frame00.tiff diff --git a/src/pyvale/data/hydro_cam0_frame05.tiff b/src/pyvale/data/dic/plate_hydro/hydro_cam0_frame05.tiff similarity index 100% rename from src/pyvale/data/hydro_cam0_frame05.tiff rename to src/pyvale/data/dic/plate_hydro/hydro_cam0_frame05.tiff diff --git a/src/pyvale/data/hydro_cam0_frame10.tiff b/src/pyvale/data/dic/plate_hydro/hydro_cam0_frame10.tiff similarity index 100% rename from src/pyvale/data/hydro_cam0_frame10.tiff rename to src/pyvale/data/dic/plate_hydro/hydro_cam0_frame10.tiff diff --git a/src/pyvale/data/hydro_cam1_frame00.tiff b/src/pyvale/data/dic/plate_hydro/hydro_cam1_frame00.tiff similarity index 100% rename from src/pyvale/data/hydro_cam1_frame00.tiff rename to src/pyvale/data/dic/plate_hydro/hydro_cam1_frame00.tiff diff --git a/src/pyvale/data/hydro_cam1_frame05.tiff b/src/pyvale/data/dic/plate_hydro/hydro_cam1_frame05.tiff similarity index 100% rename from src/pyvale/data/hydro_cam1_frame05.tiff rename to src/pyvale/data/dic/plate_hydro/hydro_cam1_frame05.tiff diff --git a/src/pyvale/data/hydro_cam1_frame10.tiff b/src/pyvale/data/dic/plate_hydro/hydro_cam1_frame10.tiff similarity index 100% rename from src/pyvale/data/hydro_cam1_frame10.tiff rename to src/pyvale/data/dic/plate_hydro/hydro_cam1_frame10.tiff diff --git a/src/pyvale/data/rigid_cam0_frame00.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame00.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame00.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame00.tiff diff --git a/src/pyvale/data/rigid_cam0_frame01.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame01.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame01.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame01.tiff diff --git a/src/pyvale/data/rigid_cam0_frame02.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame02.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame02.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame02.tiff diff --git a/src/pyvale/data/rigid_cam0_frame03.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame03.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame03.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame03.tiff diff --git a/src/pyvale/data/rigid_cam0_frame04.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame04.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame04.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame04.tiff diff --git a/src/pyvale/data/rigid_cam0_frame05.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame05.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame05.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame05.tiff diff --git a/src/pyvale/data/rigid_cam0_frame06.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame06.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame06.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame06.tiff diff --git a/src/pyvale/data/rigid_cam0_frame07.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame07.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame07.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame07.tiff diff --git a/src/pyvale/data/rigid_cam0_frame08.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame08.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame08.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame08.tiff diff --git a/src/pyvale/data/rigid_cam0_frame09.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame09.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame09.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame09.tiff diff --git a/src/pyvale/data/rigid_cam0_frame10.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame10.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame10.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame10.tiff diff --git a/src/pyvale/data/rigid_cam0_frame11.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame11.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame11.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame11.tiff diff --git a/src/pyvale/data/rigid_cam0_frame12.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame12.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame12.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame12.tiff diff --git a/src/pyvale/data/rigid_cam0_frame13.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam0_frame13.tiff similarity index 100% rename from src/pyvale/data/rigid_cam0_frame13.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam0_frame13.tiff diff --git a/src/pyvale/data/rigid_cam1_frame00.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame00.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame00.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame00.tiff diff --git a/src/pyvale/data/rigid_cam1_frame01.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame01.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame01.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame01.tiff diff --git a/src/pyvale/data/rigid_cam1_frame02.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame02.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame02.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame02.tiff diff --git a/src/pyvale/data/rigid_cam1_frame03.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame03.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame03.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame03.tiff diff --git a/src/pyvale/data/rigid_cam1_frame04.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame04.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame04.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame04.tiff diff --git a/src/pyvale/data/rigid_cam1_frame05.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame05.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame05.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame05.tiff diff --git a/src/pyvale/data/rigid_cam1_frame06.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame06.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame06.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame06.tiff diff --git a/src/pyvale/data/rigid_cam1_frame07.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame07.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame07.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame07.tiff diff --git a/src/pyvale/data/rigid_cam1_frame08.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame08.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame08.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame08.tiff diff --git a/src/pyvale/data/rigid_cam1_frame09.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame09.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame09.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame09.tiff diff --git a/src/pyvale/data/rigid_cam1_frame10.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame10.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame10.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame10.tiff diff --git a/src/pyvale/data/rigid_cam1_frame11.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame11.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame11.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame11.tiff diff --git a/src/pyvale/data/rigid_cam1_frame12.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame12.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame12.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame12.tiff diff --git a/src/pyvale/data/rigid_cam1_frame13.tiff b/src/pyvale/data/dic/plate_rigid/rigid_cam1_frame13.tiff similarity index 100% rename from src/pyvale/data/rigid_cam1_frame13.tiff rename to src/pyvale/data/dic/plate_rigid/rigid_cam1_frame13.tiff diff --git a/src/pyvale/data/Step01_00,00-sys1-0000_0.tif b/src/pyvale/data/dic/stereo_challenge/Step01_00,00-sys1-0000_0.tif similarity index 100% rename from src/pyvale/data/Step01_00,00-sys1-0000_0.tif rename to src/pyvale/data/dic/stereo_challenge/Step01_00,00-sys1-0000_0.tif diff --git a/src/pyvale/data/Step01_00,00-sys1-0000_1.tif b/src/pyvale/data/dic/stereo_challenge/Step01_00,00-sys1-0000_1.tif similarity index 100% rename from src/pyvale/data/Step01_00,00-sys1-0000_1.tif rename to src/pyvale/data/dic/stereo_challenge/Step01_00,00-sys1-0000_1.tif diff --git a/src/pyvale/data/optspeckle_2464x2056px_spec5px_8bit_gblur1px.tiff b/src/pyvale/data/render/patterns/optspeckle_2464x2056px_spec5px_8bit_gblur1px.tiff similarity index 100% rename from src/pyvale/data/optspeckle_2464x2056px_spec5px_8bit_gblur1px.tiff rename to src/pyvale/data/render/patterns/optspeckle_2464x2056px_spec5px_8bit_gblur1px.tiff diff --git a/src/pyvale/data/render/riley/calplate/tri3_calplate3d/connect.csv b/src/pyvale/data/render/riley/calplate/tri3_calplate3d/connect.csv new file mode 100644 index 000000000..070f84829 --- /dev/null +++ b/src/pyvale/data/render/riley/calplate/tri3_calplate3d/connect.csv @@ -0,0 +1,12 @@ +4,5,6 +4,6,7 +0,3,2 +0,2,1 +0,1,5 +0,5,4 +1,2,6 +1,6,5 +2,3,7 +2,7,6 +3,0,4 +3,4,7 diff --git a/src/pyvale/data/render/riley/calplate/tri3_calplate3d/coords.csv b/src/pyvale/data/render/riley/calplate/tri3_calplate3d/coords.csv new file mode 100644 index 000000000..09b824906 --- /dev/null +++ b/src/pyvale/data/render/riley/calplate/tri3_calplate3d/coords.csv @@ -0,0 +1,8 @@ +-0.0093750000,-0.0062523496,-0.0006252350 +0.0093750000,-0.0062523496,-0.0006252350 +0.0093750000,0.0062523496,-0.0006252350 +-0.0093750000,0.0062523496,-0.0006252350 +-0.0093750000,-0.0062523496,0.0006252350 +0.0093750000,-0.0062523496,0.0006252350 +0.0093750000,0.0062523496,0.0006252350 +-0.0093750000,0.0062523496,0.0006252350 diff --git a/src/pyvale/data/render/riley/calplate/tri3_calplate3d/field_disp_x.csv b/src/pyvale/data/render/riley/calplate/tri3_calplate3d/field_disp_x.csv new file mode 100644 index 000000000..bde483330 --- /dev/null +++ b/src/pyvale/data/render/riley/calplate/tri3_calplate3d/field_disp_x.csv @@ -0,0 +1,8 @@ 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Inlet Temperature,Coil Outlet Temperature,Sample Inlet Pressure,Sample Outlet Pressure,Sample Flowrate,Coil RMS Voltage,TC1,TC2,TC3,TC4,TC5,TC6,TC7,TC8,TC9,TC10 +mean,1550.5077254098358,123.4764538,0.8986488137599092,0.14003367725953855,-3.957137308704624,-1.7249280017905035,0.8987147105514889,-0.15192399079766394,147.7978922354643,149.52686741021085,27.299024999999997,63.044425000000004,6.64756409,5.7828502,47.354563692499994,85.00913525956284,,216.5341,350.4694320010778,,175.2730710350351,338.09468204089177,,194.28412204376644,277.20062603439794,185.57505726960298 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+405.8273492,219.6694519,313.4415786,212.1045518,178.8447672,349.6322112,395.2422848,192.1588817,278.6452616,201.9270325,84.859001 +464.374884,235.9739371,350.8269801,222.049207,182.9383018,372.3695991,432.5350304,199.4705554,301.0053309,209.6941661,84.52143938 diff --git a/src/pyvale/dataio/__init__.py b/src/pyvale/dataio/__init__.py index 731dc44fd..4fcb76e1a 100644 --- a/src/pyvale/dataio/__init__.py +++ b/src/pyvale/dataio/__init__.py @@ -4,7 +4,7 @@ # Copyright (C) 2025 The Computer Aided Validation Team # ============================================================================== -from .simdata import SimData +from .simdata import EMeshType, SimData from .simdata import SimLoadConfig from .loadopts import (SimLoadOpts,ExpLoadOpts) from .loadtools import (str_to_path, @@ -16,17 +16,23 @@ load_connectivity, check_sim_data_consistency, inv_group_dict) -from .meshtools import (MeshConventionCheck, +from .meshconv import (MeshCheckCode, + EElementType, + ElementSpec, + ELEMENT_SPECS, + ELEMENT_SYMMETRIES, + MeshConvention, + MeshConvErr, + MeshConvCheck, check_mesh_convention, enforce_mesh_convention, - check_cw_winding, - check_ccw_winding, - enforce_cw_winding, - enforce_ccw_winding, + is_mesh_2d, + is_volume_mesh, extract_surf_mesh, extract_surf_between) from .simloaderbytime import SimLoaderByTime from .simloaderbyfield import SimLoaderByField +from .meshloader import MeshLoader from .simsaver import (ESaveArray, save_array, ESaveFieldOpt, diff --git a/src/pyvale/dataio/loadtools.py b/src/pyvale/dataio/loadtools.py index 3b8c50412..dc37b85c3 100644 --- a/src/pyvale/dataio/loadtools.py +++ b/src/pyvale/dataio/loadtools.py @@ -310,9 +310,9 @@ def load_connectivity(connect_dir: Path, """ connect = {} - connect_files= [] + connect_files = [] if isinstance(connect_pattern,str): - connect_files = list(connect_dir.glob(connect_pattern)) + connect_files = sorted(connect_dir.glob(connect_pattern)) elif isinstance(connect_pattern,list): for ff in connect_pattern: connect_files.append(connect_dir / ff) @@ -320,6 +320,11 @@ def load_connectivity(connect_dir: Path, raise SimLoadErr("Connectivity file pattern must be a string" + " or a list.") + if not connect_files: + raise FileNotFoundError( + "No connectivity files matched the supplied pattern or list." + ) + for ff in connect_files: file_key = ff.stem connect[file_key] = load_array( @@ -462,4 +467,3 @@ def inv_group_dict(dict_com: dict[str,str]) -> dict[str, str]: return dict_com_inv - diff --git a/src/pyvale/dataio/meshconv.py b/src/pyvale/dataio/meshconv.py new file mode 100644 index 000000000..c9ae750f2 --- /dev/null +++ b/src/pyvale/dataio/meshconv.py @@ -0,0 +1,254 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2025 The Computer Aided Validation Team +# ============================================================================== + +"""PyVale ``SimData`` adapter for Riley's mesh-convention tools. + +Riley's public interface is :mod:`riley.python.meshconv`. Element metadata +is re-exported from Riley's implementation module, and the orientation +symmetries are derived from the public element-type API. +""" + +from __future__ import annotations + +from types import MappingProxyType + +import numpy as np + +from riley.python import meshconv as _core +from riley.python import _meshconv as _impl + +from pyvale.dataio.simdata import EMeshType as PyValeMeshType +from pyvale.dataio.simdata import SimData + + +MeshCheckCode = _core.MeshCheckCode +MeshConvCheck = _core.MeshConvCheck +MeshConvErr = _core.MeshConvErr +EElementType = _core.EElementType +ElementSpec = _impl.ElementSpec +ELEMENT_SPECS = _impl.ELEMENT_SPECS +MeshConvention = _core.MeshConvention + +ELEMENT_SYMMETRIES = MappingProxyType({ + element_type: element_type.calc_orient_preserving_perms() + for element_type in EElementType +}) + +# PyVale's historical Exodus fixtures use this documented source layout. It +# is adapter-owned metadata, not a Riley convention special case. +PYVALE_EXODUS_MESH_CONVENTION = MeshConvention({ + _core.EElementType.HEX20: ( + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, + 16, 17, 18, 19, 12, 13, 14, 15, + ), + _core.EElementType.HEX27: ( + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, + 16, 17, 18, 19, 12, 13, 14, 15, + 25, 24, 26, 23, 21, 22, 20, + ), +}) + + +def check_mesh_convention( + mesh_in: SimData, + source_convention: MeshConvention | None = None, +) -> MeshConventionCheck: + return _core.check_mesh_convention( + _to_riley_mesh(mesh_in), + _resolve_source_convention(mesh_in, source_convention), + ) + + +def enforce_mesh_convention( + mesh_in: SimData, + source_convention: MeshConvention | None = None, +) -> SimData: + mesh_out = _core.enforce_mesh_convention( + _to_riley_mesh(mesh_in), + _resolve_source_convention(mesh_in, source_convention), + ) + return _from_riley_mesh(mesh_out, mesh_in.num_spat_dims) + + +def is_mesh_2d(mesh_in: SimData) -> bool: + return _impl._check_mesh_2d(_to_riley_mesh(mesh_in)) + + +def is_volume_mesh(mesh_in: SimData) -> bool: + return _impl._check_vol_mesh(_to_riley_mesh(mesh_in)) + + +def extract_surf_mesh( + mesh_in: SimData, + enforce_convention: bool = True, +) -> SimData: + mesh_out = _core.extract_surf_mesh( + _to_riley_mesh(mesh_in), + enforce_convention=enforce_convention, + ) + if enforce_convention: + mesh_out = _copy_with_row_major_tables(mesh_out) + return _from_riley_mesh(mesh_out, mesh_in.num_spat_dims) + + +def extract_surf_between( + mesh_in: SimData, + point: np.ndarray | list[float] | tuple[float, ...], + normal: np.ndarray | list[float] | tuple[float, ...], + distance: float | None = None, + tolerance: float = 1.0e-6, + enforce_convention: bool = True, +) -> SimData: + mesh_out = _core.extract_surf_between( + _to_riley_mesh(mesh_in), + point, + normal, + distance=distance, + tolerance=tolerance, + enforce_convention=enforce_convention, + ) + if enforce_convention: + mesh_out = _copy_with_row_major_tables(mesh_out) + return _from_riley_mesh(mesh_out, mesh_in.num_spat_dims) + + +def _copy_with_row_major_tables(mesh_in: _core.SimData) -> _core.SimData: + """Return the mesh with every connectivity table in element-per-row form. + + Riley can emit extracted surface tables with faces as columns when the + input mesh declares an explicit volume type, so enforced outputs are + normalised here as well. + """ + if mesh_in.connect is None or mesh_in.coords is None: + return mesh_in + num_coords = mesh_in.coords.shape[0] + connect_out = {} + changed = False + for name, connect_raw in mesh_in.connect.items(): + connect = np.asarray(connect_raw) + if _table_prefers_transpose(connect, num_coords): + connect_out[name] = np.ascontiguousarray(connect.T) + changed = True + else: + connect_out[name] = connect + if not changed: + return mesh_in + return _core.SimData( + coords=mesh_in.coords, + connect=connect_out, + mesh_type=mesh_in.mesh_type, + time=mesh_in.time, + side_sets=mesh_in.side_sets, + node_vars=mesh_in.node_vars, + elem_vars=mesh_in.elem_vars, + glob_vars=mesh_in.glob_vars, + ) + + +def _table_prefers_transpose( + connect: np.ndarray, + num_coords: int, +) -> bool: + """Return whether a table most plausibly holds faces as columns. + + Extracted surface tables must have one face per row, so the orientation + whose row width is a surface-topology node count wins. Ambiguous or + already-plausible tables are left untouched. + """ + if connect.ndim != 2 or connect.shape[0] == 0 or connect.shape[1] == 0: + return False + surf_widths = { + spec.nodes_per_elem + for spec in ELEMENT_SPECS.values() + if spec.is_surf + } + width_as_is = int(connect.shape[1]) + width_transposed = int(connect.shape[0]) + as_is_is_surf = width_as_is in surf_widths + transposed_is_surf = width_transposed in surf_widths + if as_is_is_surf or transposed_is_surf == as_is_is_surf: + return False + return ( + int(np.min(connect)) >= 0 + and int(np.max(connect)) < num_coords + ) + + +def _to_riley_mesh(mesh_in: SimData) -> _core.SimData: + return _core.SimData( + coords=mesh_in.coords, + connect=mesh_in.connect, + mesh_type=_to_riley_mesh_type(mesh_in.mesh_type), + time=mesh_in.time, + side_sets=mesh_in.side_sets, + node_vars=mesh_in.node_vars, + elem_vars=mesh_in.elem_vars, + glob_vars=mesh_in.glob_vars, + ) + + +def _resolve_source_convention( + mesh_in: SimData, + source_convention: MeshConvention | None, +) -> MeshConvention | None: + if source_convention is not None: + return source_convention + if mesh_in.coords is None or mesh_in.connect is None: + return None + for connect in mesh_in.connect.values(): + connect_array = np.asarray(connect, dtype=np.int64) + if ( + _impl._check_transpose_needed(connect_array) + or int(connect_array.min()) == 1 + ): + return PYVALE_EXODUS_MESH_CONVENTION + return None + + +def _from_riley_mesh(mesh_in: _core.SimData, num_spat_dims: int) -> SimData: + return SimData( + num_spat_dims=num_spat_dims, + mesh_type=_to_pyvale_mesh_type(mesh_in.mesh_type), + time=mesh_in.time, + coords=mesh_in.coords, + connect=mesh_in.connect, + side_sets=mesh_in.side_sets, + node_vars=mesh_in.node_vars, + elem_vars=mesh_in.elem_vars, + glob_vars=mesh_in.glob_vars, + ) + + +def _to_riley_mesh_type( + mesh_type: PyValeMeshType | None, +) -> _core.EMeshType | None: + if mesh_type is PyValeMeshType.VOL: + return _core.EMeshType.VOL + if mesh_type is PyValeMeshType.SURF: + return _core.EMeshType.SURF + return None + + +def _to_pyvale_mesh_type( + mesh_type: _core.EMeshType | None, +) -> PyValeMeshType | None: + if mesh_type is _core.EMeshType.VOL: + return PyValeMeshType.VOL + if mesh_type is _core.EMeshType.SURF: + return PyValeMeshType.SURF + return None + + +__all__ = [ + "MeshCheckCode", + "MeshConvCheck", + "check_mesh_convention", + "enforce_mesh_convention", + "is_mesh_2d", + "is_volume_mesh", + "extract_surf_mesh", + "extract_surf_between", +] diff --git a/src/pyvale/dataio/meshloader.py b/src/pyvale/dataio/meshloader.py new file mode 100644 index 000000000..0c1894530 --- /dev/null +++ b/src/pyvale/dataio/meshloader.py @@ -0,0 +1,96 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Load mesh coordinates and connectivity into simulation data.""" + +from pathlib import Path + +from pyvale.dataio.exceptions import SimLoadErr +from pyvale.dataio.loadopts import SimLoadOpts +from pyvale.dataio.loadtools import ( + load_array, + load_connectivity, + str_to_path, +) +from pyvale.dataio.meshconv import enforce_mesh_convention +from pyvale.dataio.simdata import SimData + + +class MeshLoader: + """Load coordinates and connectivity without simulation fields. + + Parameters + ---------- + load_dir : Path + Directory containing the mesh files. + coords_file : str | Path + Coordinate file name relative to ``load_dir`` or its complete path. + connect_files : str | list[str] + Connectivity file pattern or an explicit list of file names. + load_opts : SimLoadOpts | None, optional + Text and array loading options. Default options are created when this + argument is ``None``. + enforce_convention : bool, optional + Convert supported legacy connectivity into the common PyVale mesh + convention, by default ``True``. + """ + + __slots__ = ( + "_connect_files", + "_coords_file", + "_enforce_convention", + "_load_dir", + "_load_opts", + ) + + def __init__( + self, + load_dir: Path, + coords_file: str | Path, + connect_files: str | list[str], + load_opts: SimLoadOpts | None = None, + enforce_convention: bool = True, + ) -> None: + if not load_dir.is_dir(): + raise SimLoadErr( + f"Load directory '{load_dir.resolve()}' is not a directory." + ) + + self._load_dir = load_dir + self._coords_file = coords_file + self._connect_files = connect_files + self._load_opts = SimLoadOpts() if load_opts is None else load_opts + self._enforce_convention = enforce_convention + + def load_mesh(self) -> SimData: + """Load and return mesh coordinates and connectivity. + + Returns + ------- + SimData + Simulation data containing only coordinates and connectivity. + """ + coords_path = str_to_path(self._load_dir, self._coords_file) + coords = load_array( + coords_path, + self._load_opts.coord_header, + self._load_opts.delimiter, + ) + connect = load_connectivity( + self._load_dir, + self._connect_files, + self._load_opts, + ) + mesh = SimData(coords=coords, connect=connect) + + if self._enforce_convention: + mesh = enforce_mesh_convention(mesh) + + mesh.refresh_mesh_type() + return mesh + + +__all__ = ["MeshLoader"] diff --git a/src/pyvale/dataio/meshtools.py b/src/pyvale/dataio/meshtools.py deleted file mode 100644 index 672cc8744..000000000 --- a/src/pyvale/dataio/meshtools.py +++ /dev/null @@ -1,1258 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -"""Shared mesh convention and surface-extraction tools for ``SimData``.""" - -from __future__ import annotations - -from dataclasses import dataclass -import numpy as np - -from pyvale.dataio.simdata import SimData - -_SURFACE_NODE_COUNTS = frozenset((3, 4, 6, 7, 8, 9)) -_VOLUME_NODE_COUNTS = frozenset((4, 8, 10, 20, 27)) -_SUPPORTED_NODE_COUNTS = _SURFACE_NODE_COUNTS | _VOLUME_NODE_COUNTS -_TOL = 1.0e-12 - - -@dataclass(slots=True) -class MeshConventionCheck: - """Structured report describing mesh convention compliance.""" - - is_zero_based: bool - has_ccw_winding: bool - is_right_handed: bool - has_valid_connectivity: bool - has_row_major_connectivity: bool - failed_checks: tuple[str, ...] - connectivity_failures: dict[str, tuple[str, ...]] - - @property - def is_valid(self) -> bool: - return not self.failed_checks - - -def check_mesh_convention(mesh_in: SimData) -> MeshConventionCheck: - """Checks a mesh against the shared pyvale mesh convention.""" - - if mesh_in.connect is None: - return MeshConventionCheck(True, True, True, True, True, tuple(), {}) - if mesh_in.coords is None: - raise ValueError("Mesh convention checks require 'coords' to be set.") - - zero_based = True - ccw = True - right_handed = True - valid_connectivity = True - row_major = True - per_table: dict[str, tuple[str, ...]] = {} - shift_all = _infer_mesh_zero_based_shift(mesh_in, mesh_in.coords.shape[0]) - - for name, connect_raw in mesh_in.connect.items(): - connect = _coerce_connect_array(connect_raw, name) - failures: list[str] = [] - - if _should_transpose_connectivity(connect, name, mesh_in): - row_major = False - failures.append("row_major_connectivity") - connect = connect.T - - legacy_connect = _table_needs_zero_based_shift( - connect, - mesh_in.coords.shape[0], - shift_all, - ) - if legacy_connect: - zero_based = False - failures.append("zero_based_indexing") - - connect_check = connect - if legacy_connect: - connect_check = connect - 1 - - if not _check_indices_zero_based(connect_check, mesh_in.coords.shape[0]): - valid_connectivity = False - failures.append("connectivity_indices") - else: - connect_check = _normalise_legacy_connectivity_order( - connect_check, legacy_connect - ) - - if not _check_ccw_winding_table(connect_check, mesh_in.coords): - ccw = False - failures.append("ccw_winding") - - if not _check_right_handed_table(connect_check, mesh_in.coords): - right_handed = False - failures.append("right_handed_geometry") - - per_table[name] = tuple(failures) - - failed_checks: list[str] = [] - if not zero_based: - failed_checks.append("zero_based_indexing") - if not ccw: - failed_checks.append("ccw_winding") - if not right_handed: - failed_checks.append("right_handed_geometry") - if not valid_connectivity: - failed_checks.append("connectivity_indices") - if not row_major: - failed_checks.append("row_major_connectivity") - - return MeshConventionCheck( - is_zero_based=zero_based, - has_ccw_winding=ccw, - is_right_handed=right_handed, - has_valid_connectivity=valid_connectivity, - has_row_major_connectivity=row_major, - failed_checks=tuple(failed_checks), - connectivity_failures=per_table, - ) - - -def enforce_mesh_convention(mesh_in: SimData) -> SimData: - """Normalises a mesh to the pyvale mesh convention: - - 0-based indexing - - CCW node ordering when viewed from the outward/visible side - - Right-handed geometry conventions - - Check that all indices in the connectivity table map to a row in coords - """ - - report = check_mesh_convention(mesh_in) - if report.is_valid: - return mesh_in - - if mesh_in.connect is None: - return mesh_in - if mesh_in.coords is None: - raise ValueError("Mesh convention enforcement requires coords.") - - connect_out: dict[str, np.ndarray] = {} - shift_all = _infer_mesh_zero_based_shift(mesh_in, mesh_in.coords.shape[0]) - - for name, connect_raw in mesh_in.connect.items(): - connect = _coerce_connect_array(connect_raw, name) - - if _should_transpose_connectivity(connect, name, mesh_in): - connect = connect.T - - legacy_connect = _table_needs_zero_based_shift( - connect, - mesh_in.coords.shape[0], - shift_all, - ) - if legacy_connect: - connect = connect - 1 - - if not _check_indices_zero_based(connect, mesh_in.coords.shape[0]): - raise ValueError( - "Connectivity table " - f"'{name}' contains indices outside the coordinate array after " - "0-based normalization." - ) - - connect = _normalise_legacy_connectivity_order(connect, legacy_connect) - connect = _enforce_ccw_winding_table(connect, mesh_in.coords) - connect = _enforce_right_handed_table(connect, mesh_in.coords) - - if not _check_indices_zero_based(connect, mesh_in.coords.shape[0]): - raise ValueError( - "Connectivity table " - f"'{name}' became invalid during mesh convention enforcement." - ) - - connect_out[name] = np.ascontiguousarray(connect, dtype=np.int64) - - return _copy_sim_data(mesh_in, connect=connect_out) - - -def check_cw_winding(mesh_in: SimData) -> bool: - """Checks whether all supported surface/2D elements are wound clockwise.""" - - if mesh_in.connect is None: - return True - if mesh_in.coords is None: - raise ValueError("Clockwise winding checks require 'coords' to be set.") - - shift_all = _infer_mesh_zero_based_shift(mesh_in, mesh_in.coords.shape[0]) - for connect in mesh_in.connect.values(): - connect_row_major = _as_row_major_zero_based( - connect, - mesh_in.coords.shape[0], - shift_all=shift_all, - ) - if not _check_cw_winding_table(connect_row_major, mesh_in.coords): - return False - return True - - -def check_ccw_winding(mesh_in: SimData) -> bool: - """Checks whether all supported surface/2D elements are wound counter-clockwise.""" - - if mesh_in.connect is None: - return True - if mesh_in.coords is None: - raise ValueError("CCW winding checks require 'coords' to be set.") - - shift_all = _infer_mesh_zero_based_shift(mesh_in, mesh_in.coords.shape[0]) - for connect in mesh_in.connect.values(): - connect_row_major = _as_row_major_zero_based( - connect, - mesh_in.coords.shape[0], - shift_all=shift_all, - ) - if not _check_ccw_winding_table(connect_row_major, mesh_in.coords): - return False - return True - - -def enforce_cw_winding(mesh_in: SimData) -> SimData: - """Returns a copy of ``mesh_in`` with supported 2D/surface elements wound CW.""" - - if mesh_in.connect is None: - return mesh_in - if mesh_in.coords is None: - raise ValueError("Clockwise winding enforcement requires 'coords' to be set.") - - connect_out: dict[str, np.ndarray] = {} - changed = False - shift_all = _infer_mesh_zero_based_shift(mesh_in, mesh_in.coords.shape[0]) - - for name, connect in mesh_in.connect.items(): - connect_row_major = _as_row_major_zero_based( - connect, - mesh_in.coords.shape[0], - shift_all=shift_all, - ) - connect_out[name] = _enforce_cw_winding_table(connect_row_major, mesh_in.coords) - changed = changed or not np.array_equal(connect_out[name], connect_row_major) - - if not changed: - return mesh_in - - return _copy_sim_data(mesh_in, connect=connect_out) - - -def enforce_ccw_winding(mesh_in: SimData) -> SimData: - """Returns a copy of ``mesh_in`` with supported 2D/surface elements wound CCW.""" - - if mesh_in.connect is None: - return mesh_in - if mesh_in.coords is None: - raise ValueError("CCW winding enforcement requires 'coords' to be set.") - - connect_out: dict[str, np.ndarray] = {} - changed = False - shift_all = _infer_mesh_zero_based_shift(mesh_in, mesh_in.coords.shape[0]) - - for name, connect in mesh_in.connect.items(): - connect_row_major = _as_row_major_zero_based( - connect, - mesh_in.coords.shape[0], - shift_all=shift_all, - ) - connect_out[name] = _enforce_ccw_winding_table(connect_row_major, mesh_in.coords) - changed = changed or not np.array_equal(connect_out[name], connect_row_major) - - if not changed: - return mesh_in - - return _copy_sim_data(mesh_in, connect=connect_out) - - -def is_mesh_2d(mesh_in: SimData) -> bool: - if mesh_in.coords is None or mesh_in.connect is None: - return False - - # 1. Check coordinate flatness - coord_ranges = np.ptp(mesh_in.coords, axis=0) - if np.any(coord_ranges < 1e-12): - return True - - # 2. Check elements in connectivity tables - for name, connect_raw in mesh_in.connect.items(): - connect = np.asarray(connect_raw, dtype=np.int64) - if _should_transpose_connectivity(connect, name, mesh_in): - connect = connect.T - - # Normalize 1-based indexing if present to avoid out-of-bounds errors - shift_all = _infer_mesh_zero_based_shift( - mesh_in, mesh_in.coords.shape[0] - ) - legacy_connect = _table_needs_zero_based_shift( - connect, - mesh_in.coords.shape[0], - shift_all, - ) - if legacy_connect: - connect = connect - 1 - - nodes_per_elem = connect.shape[1] - if nodes_per_elem in (3, 6, 7, 9): - return True - if nodes_per_elem in (10, 20, 27): - return False - - if nodes_per_elem == 4: - # Check if elements are TET4 (3D) or QUAD4 (2D) - try: - num_check = min(10, connect.shape[0]) - is_tet = False - for i in range(num_check): - elem = connect[i] - v = mesh_in.coords[elem] - vol = np.abs( - np.dot( - v[1] - v[0], - np.cross(v[2] - v[0], v[3] - v[0]), - ) - ) - if vol > 1e-10: - is_tet = True - break - if not is_tet: - return True - except IndexError: - pass - - if nodes_per_elem == 8: - # Check if elements are HEX8 (3D) or QUAD8 (2D) - try: - num_check = min(10, connect.shape[0]) - is_hex = False - for i in range(num_check): - elem = connect[i] - v = mesh_in.coords[elem] - vol = np.abs( - np.dot( - v[1] - v[0], - np.cross(v[2] - v[0], v[4] - v[0]), - ) - ) - if vol > 1e-10: - is_hex = True - break - if not is_hex: - return True - except IndexError: - pass - - return False - - -def extract_surf_mesh( - mesh_in: SimData, - enforce_convention: bool = True, -) -> SimData: - """Extracts the external surface mesh from supported 3D volume elements.""" - - if is_mesh_2d(mesh_in): - raise ValueError( - "Surface extraction is only supported for 3D meshes. " - "The provided mesh appears to be 2D." - ) - - if mesh_in.connect is None: - raise ValueError("Surface extraction requires connectivity tables.") - if mesh_in.coords is None: - raise ValueError("Surface extraction requires coords.") - - connect_norm: dict[str, np.ndarray] = {} - source_zero_based = True - source_row_major = True - shift_all = _infer_mesh_zero_based_shift(mesh_in, mesh_in.coords.shape[0]) - - for name, connect_raw in mesh_in.connect.items(): - connect = _coerce_connect_array(connect_raw, name) - if _should_transpose_connectivity(connect, name, mesh_in): - source_row_major = False - connect = connect.T - legacy_connect = _table_needs_zero_based_shift( - connect, - mesh_in.coords.shape[0], - shift_all, - ) - if legacy_connect: - source_zero_based = False - connect = connect - 1 - if not _check_indices_zero_based(connect, mesh_in.coords.shape[0]): - raise ValueError( - f"Connectivity table '{name}' contains invalid indices for surface extraction." - ) - connect = _normalise_legacy_connectivity_order(connect, legacy_connect) - connect_norm[name] = _enforce_right_handed_table( - _enforce_ccw_winding_table(connect, mesh_in.coords), - mesh_in.coords, - ) - - surf_connect_global: dict[str, np.ndarray] = {} - surf_elem_sources: dict[str, np.ndarray] = {} - surf_node_inds = np.array([], dtype=np.int64) - - for name, connect in connect_norm.items(): - (surf_faces, surf_parent_elem_inds) = _extract_surface_faces_from_table( - connect, - mesh_in.coords, - ) - surf_connect_global[name] = surf_faces - surf_elem_sources[name] = surf_parent_elem_inds - if surf_faces.size: - surf_node_inds = np.union1d(surf_node_inds, np.unique(surf_faces)) - - surf_coords = np.ascontiguousarray(mesh_in.coords[surf_node_inds], - dtype=mesh_in.coords.dtype) - coord_remap = np.full(mesh_in.coords.shape[0], -1, dtype=np.int64) - coord_remap[surf_node_inds] = np.arange(surf_node_inds.shape[0], dtype=np.int64) - - surf_connect_local: dict[str, np.ndarray] = {} - for name, surf_faces in surf_connect_global.items(): - surf_connect_local[name] = coord_remap[surf_faces] - - surf_mesh = _copy_sim_data(mesh_in) - surf_mesh.coords = surf_coords - surf_mesh.connect = surf_connect_local - - if mesh_in.node_vars is not None: - surf_mesh.node_vars = { - name: values[surf_node_inds, :] - for name, values in mesh_in.node_vars.items() - } - - if mesh_in.elem_vars is not None: - surf_mesh.elem_vars = {} - for (name, block_id), values in mesh_in.elem_vars.items(): - connect_key = f"connect{block_id}" - if connect_key in surf_elem_sources: - surf_mesh.elem_vars[(name, block_id)] = values[surf_elem_sources[connect_key], :] - - if not enforce_convention: - surf_mesh = _restore_source_connectivity_style( - surf_mesh, - one_based=not source_zero_based, - transposed=not source_row_major, - ) - return surf_mesh - - return surf_mesh - - -def _copy_sim_data(mesh_in: SimData, - connect: dict[str, np.ndarray] | None = None) -> SimData: - mesh_out = SimData( - num_spat_dims=mesh_in.num_spat_dims, - time=mesh_in.time, - coords=mesh_in.coords, - connect=mesh_in.connect if connect is None else connect, - side_sets=mesh_in.side_sets, - node_vars=mesh_in.node_vars, - elem_vars=mesh_in.elem_vars, - glob_vars=mesh_in.glob_vars, - ) - return mesh_out - - -def _coerce_connect_array(connect: np.ndarray, name: str) -> np.ndarray: - array = np.asarray(connect) - if array.ndim != 2: - raise ValueError( - f"Connectivity table '{name}' must be 2D, got shape {array.shape}." - ) - return np.ascontiguousarray(array, dtype=np.int64) - - -def _supported_nodes_per_elem(nodes_per_elem: int) -> None: - if nodes_per_elem not in _SUPPORTED_NODE_COUNTS: - raise NotImplementedError( - "Mesh convention tools do not support elements with " - f"{nodes_per_elem} nodes." - ) - - -def _should_transpose_connectivity( - connect: np.ndarray, - connect_name: str | None = None, - mesh_in: SimData | None = None, -) -> bool: - rows_supported = connect.shape[0] in _SUPPORTED_NODE_COUNTS - cols_supported = connect.shape[1] in _SUPPORTED_NODE_COUNTS - - if rows_supported and not cols_supported: - return True - if cols_supported and not rows_supported: - return False - if cols_supported and rows_supported: - block_rows = _get_elem_var_block_rows(connect_name, mesh_in) - if block_rows is not None: - row_match = connect.shape[0] in block_rows - col_match = connect.shape[1] in block_rows - if row_match and not col_match: - return False - if col_match and not row_match: - return True - if mesh_in is not None and mesh_in.coords is not None: - return _score_orientation(connect.T, mesh_in.coords) > _score_orientation( - connect, - mesh_in.coords, - ) - return False - raise NotImplementedError( - "Could not infer connectivity orientation from shape " - f"{connect.shape}. Expected a supported nodes-per-element dimension." - ) - - -def _needs_zero_based_shift(connect: np.ndarray, num_coords: int) -> bool: - if connect.size == 0: - return False - if np.any(connect < 0): - return False - if np.any(connect == 0): - return False - return bool(np.any(connect >= num_coords)) - - -def _is_ambiguously_positive(connect: np.ndarray, num_coords: int) -> bool: - if connect.size == 0: - return False - return bool( - np.all(connect >= 1) - and np.all(connect < num_coords) - and not np.any(connect == 0) - ) - - -def _infer_mesh_zero_based_shift(mesh_in: SimData, num_coords: int) -> bool: - any_zero_based = False - any_definitely_one_based = False - - for connect_name, connect_raw in mesh_in.connect.items(): - connect = np.asarray(connect_raw, dtype=np.int64) - if _should_transpose_connectivity(connect, connect_name, mesh_in): - connect = connect.T - if np.any(connect == 0): - any_zero_based = True - if _needs_zero_based_shift(connect, num_coords): - any_definitely_one_based = True - - if any_zero_based and any_definitely_one_based: - raise ValueError( - "Mixed zero-based and one-based connectivity tables detected in the same mesh." - ) - - return any_definitely_one_based and not any_zero_based - - -def _table_needs_zero_based_shift( - connect: np.ndarray, - num_coords: int, - shift_all: bool, -) -> bool: - if _needs_zero_based_shift(connect, num_coords): - return True - return shift_all and _is_ambiguously_positive(connect, num_coords) - - -def _get_elem_var_block_rows( - connect_name: str | None, - mesh_in: SimData | None, -) -> set[int] | None: - if connect_name is None or mesh_in is None or mesh_in.elem_vars is None: - return None - - try: - block_id = int(connect_name.replace("connect", "")) - except ValueError: - return None - - row_counts = { - values.shape[0] - for (_field_name, field_block), values in mesh_in.elem_vars.items() - if field_block == block_id - } - return row_counts or None - - -def _check_indices_zero_based(connect: np.ndarray, num_coords: int) -> bool: - if connect.size == 0: - return True - valid_mask = np.logical_and(connect >= 0, connect < num_coords) - return bool(np.all(valid_mask)) - - -def _as_row_major_zero_based( - connect: np.ndarray, - num_coords: int, - *, - shift_all: bool = False, -) -> np.ndarray: - connect_out = np.asarray(connect, dtype=np.int64) - if connect_out.ndim != 2: - raise ValueError(f"Connectivity table must be 2D, got shape {connect_out.shape}.") - if _should_transpose_connectivity(connect_out): - connect_out = connect_out.T - legacy_connect = _table_needs_zero_based_shift(connect_out, num_coords, shift_all) - if legacy_connect: - connect_out = connect_out - 1 - connect_out = _normalise_legacy_connectivity_order(connect_out, legacy_connect) - return np.ascontiguousarray(connect_out, dtype=np.int64) - - -def _score_orientation(connect_row_major: np.ndarray, coords: np.ndarray) -> int: - num_coords = coords.shape[0] - connect_eval = np.asarray(connect_row_major, dtype=np.int64) - - if connect_eval.ndim != 2 or connect_eval.shape[1] not in _SUPPORTED_NODE_COUNTS: - return -1 - - if _needs_zero_based_shift(connect_eval, num_coords): - connect_eval = connect_eval - 1 - - if not _check_indices_zero_based(connect_eval, num_coords): - return -1 - - score = 0 - for row in connect_eval: - if np.unique(row).shape[0] != row.shape[0]: - continue - - try: - metric = _handedness_metric(row, coords) - except ValueError: - continue - - if metric is not None and abs(metric) > _TOL: - score += 1 - - return score - - -def _normalise_legacy_connectivity_order( - connect: np.ndarray, - legacy_connect: bool, -) -> np.ndarray: - if not legacy_connect: - return connect - - nodes_per_elem = connect.shape[1] - if nodes_per_elem == 20: - perm = np.array((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 16, 17, 18, 19, 12, 13, 14, 15)) - return np.ascontiguousarray(connect[:, perm], dtype=np.int64) - if nodes_per_elem == 27: - perm = np.array((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 16, 17, 18, 19, 12, 13, 14, 15, 26, 24, 25, 20, 21, 22, 23)) - return np.ascontiguousarray(connect[:, perm], dtype=np.int64) - return connect - - -def _get_corner_indices(nodes_per_elem: int) -> np.ndarray: - _supported_nodes_per_elem(nodes_per_elem) - if nodes_per_elem in (3, 6, 7): - return np.array((0, 1, 2), dtype=np.int64) - if nodes_per_elem in (4, 8, 9): - return np.array((0, 1, 2, 3), dtype=np.int64) - if nodes_per_elem in (10,): - return np.array((0, 1, 2, 3), dtype=np.int64) - if nodes_per_elem in (20, 27): - return np.array((0, 1, 2, 3, 4, 5, 6, 7), dtype=np.int64) - return np.arange(nodes_per_elem, dtype=np.int64) - - -def _get_volume_corner_indices(nodes_per_elem: int) -> np.ndarray: - _supported_nodes_per_elem(nodes_per_elem) - if nodes_per_elem in (4, 10): - return np.array((0, 1, 2, 3), dtype=np.int64) - if nodes_per_elem in (8, 20, 27): - return np.array((0, 1, 2, 3, 4, 5, 6, 7), dtype=np.int64) - raise NotImplementedError( - f"Volume corner extraction is not implemented for {nodes_per_elem}-node elements." - ) - - -def _active_coord_axes(coords: np.ndarray) -> np.ndarray: - axis_range = np.ptp(coords, axis=0) - active = np.flatnonzero(axis_range > _TOL) - if active.shape[0] < 2: - raise ValueError("At least two active coordinate axes are required.") - return active[:2] - - -def _polygon_signed_area(coords_elem: np.ndarray) -> float: - axes = _active_coord_axes(coords_elem) - xy = coords_elem[:, axes] - rolled = np.roll(xy, -1, axis=0) - return 0.5 * np.sum(xy[:, 0] * rolled[:, 1] - rolled[:, 0] * xy[:, 1]) - - -def _is_coplanar(coords_elem: np.ndarray) -> bool: - centred = coords_elem - np.mean(coords_elem, axis=0) - return np.linalg.matrix_rank(centred, tol=_TOL) <= 2 - - -def _tet_signed_volume(coords_elem: np.ndarray) -> float: - return float( - np.linalg.det( - np.column_stack(( - coords_elem[1] - coords_elem[0], - coords_elem[2] - coords_elem[0], - coords_elem[3] - coords_elem[0], - )) - ) - ) - - -def _hex_signed_volume(coords_elem: np.ndarray) -> float: - return float( - np.linalg.det( - np.column_stack(( - coords_elem[1] - coords_elem[0], - coords_elem[3] - coords_elem[0], - coords_elem[4] - coords_elem[0], - )) - ) - ) - - -def _winding_metric(connect_row: np.ndarray, coords: np.ndarray) -> float | None: - nodes_per_elem = connect_row.shape[0] - if nodes_per_elem not in _SURFACE_NODE_COUNTS: - return None - corner_inds = _get_corner_indices(nodes_per_elem) - coords_elem = coords[connect_row[corner_inds]] - if not _is_coplanar(coords_elem): - return None - return _polygon_signed_area(coords_elem) - - -def _handedness_metric(connect_row: np.ndarray, coords: np.ndarray) -> float | None: - nodes_per_elem = connect_row.shape[0] - if nodes_per_elem in _SURFACE_NODE_COUNTS: - metric = _winding_metric(connect_row, coords) - if metric is not None: - return metric - corner_inds = _get_corner_indices(nodes_per_elem) - coords_elem = coords[connect_row[corner_inds]] - if nodes_per_elem in (4, 10): - return _tet_signed_volume(coords_elem) - if nodes_per_elem in (8, 20, 27): - return _hex_signed_volume(coords_elem) - raise NotImplementedError( - f"Handedness checks are not implemented for {nodes_per_elem}-node elements." - ) - - -def _check_ccw_winding_table(connect: np.ndarray, coords: np.ndarray) -> bool: - for row in connect: - metric = _winding_metric(row, coords) - if metric is None: - continue - if metric <= 0.0: - return False - return True - - -def _check_cw_winding_table(connect: np.ndarray, coords: np.ndarray) -> bool: - for row in connect: - metric = _winding_metric(row, coords) - if metric is None: - continue - if metric >= 0.0: - return False - return True - - -def _check_right_handed_table(connect: np.ndarray, coords: np.ndarray) -> bool: - for row in connect: - metric = _handedness_metric(row, coords) - if metric is None: - continue - if metric <= 0.0: - return False - return True - - -def _reverse_surface_row(connect_row: np.ndarray) -> np.ndarray: - nodes_per_elem = connect_row.shape[0] - perms = { - 3: np.array((0, 2, 1)), - 4: np.array((0, 3, 2, 1)), - 6: np.array((0, 2, 1, 5, 4, 3)), - 7: np.array((0, 2, 1, 5, 4, 3, 6)), - 8: np.array((0, 3, 2, 1, 7, 6, 5, 4)), - 9: np.array((0, 3, 2, 1, 7, 6, 5, 4, 8)), - } - _supported_nodes_per_elem(nodes_per_elem) - if nodes_per_elem not in perms: - raise NotImplementedError( - f"CCW/CW winding enforcement is not implemented for {nodes_per_elem}-node elements." - ) - return connect_row[perms[nodes_per_elem]] - - -def _reverse_handedness_row(connect_row: np.ndarray) -> np.ndarray: - nodes_per_elem = connect_row.shape[0] - perms = { - 4: np.array((0, 2, 1, 3)), - 10: np.array((0, 2, 1, 3, 6, 5, 4, 7, 9, 8)), - 8: np.array((0, 3, 2, 1, 4, 7, 6, 5)), - 20: np.array((0, 3, 2, 1, 4, 7, 6, 5, 11, 10, 9, 8, 15, 14, 13, 12, 16, 19, 18, 17)), - 27: np.array((0, 3, 2, 1, 4, 7, 6, 5, 11, 10, 9, 8, 15, 14, 13, 12, 16, 19, 18, 17, 20, 21, 22, 23, 24, 25, 26)), - } - if nodes_per_elem not in perms: - raise NotImplementedError( - f"Right-handed enforcement is not implemented for {nodes_per_elem}-node elements." - ) - return connect_row[perms[nodes_per_elem]] - - -def _get_face_corner_coords(face_coords: np.ndarray) -> np.ndarray: - nodes_per_face = face_coords.shape[0] - if nodes_per_face in (3, 6, 7): - return face_coords[:3, :] - if nodes_per_face in (4, 8, 9): - return face_coords[:4, :] - raise NotImplementedError( - f"Surface face corner extraction is not implemented for {nodes_per_face}-node faces." - ) - - -def _calc_face_normal(face_coords: np.ndarray) -> np.ndarray: - face_corners = _get_face_corner_coords(face_coords) - face_normal = np.cross( - face_corners[1] - face_corners[0], - face_corners[2] - face_corners[0], - ) - normal_mag = np.linalg.norm(face_normal) - - if normal_mag <= _TOL and face_corners.shape[0] == 4: - face_normal = np.cross( - face_corners[2] - face_corners[0], - face_corners[3] - face_corners[0], - ) - normal_mag = np.linalg.norm(face_normal) - - if normal_mag <= _TOL: - raise ValueError("Degenerate face detected while extracting the surface mesh.") - - return face_normal / normal_mag - - -def _orient_surface_face_outward( - face_connect: np.ndarray, - parent_connect: np.ndarray, - coords: np.ndarray, -) -> np.ndarray: - face_coords = coords[face_connect] - face_centroid = np.mean(_get_face_corner_coords(face_coords), axis=0) - - parent_corners = _get_volume_corner_indices(parent_connect.shape[0]) - parent_centroid = np.mean(coords[parent_connect[parent_corners]], axis=0) - - face_normal = _calc_face_normal(face_coords) - outward_dir = face_centroid - parent_centroid - - if np.dot(face_normal, outward_dir) < 0.0: - return _reverse_surface_row(face_connect) - return face_connect - - -def _normalise_surface_face_node_order( - face_connect: np.ndarray, - coords: np.ndarray, -) -> np.ndarray: - nodes_per_face = face_connect.shape[0] - face_out = np.copy(face_connect) - face_coords = coords[face_out] - - if nodes_per_face in (6, 7): - corner_inds = np.array((0, 1, 2), dtype=np.int64) - midside_pool = np.arange(3, nodes_per_face, dtype=np.int64) - edge_corner_pairs = ((0, 1), (1, 2), (2, 0)) - elif nodes_per_face in (8, 9): - corner_inds = np.array((0, 1, 2, 3), dtype=np.int64) - midside_pool = np.arange(4, nodes_per_face, dtype=np.int64) - edge_corner_pairs = ((0, 1), (1, 2), (2, 3), (3, 0)) - else: - return face_out - - face_centroid = np.mean(face_coords[corner_inds, :], axis=0) - mid_pool_coords = face_coords[midside_pool, :] - - if nodes_per_face in (7, 9): - centroid_dists = np.linalg.norm(mid_pool_coords - face_centroid, axis=1) - center_pool_ind = int(np.argmin(centroid_dists)) - center_local_ind = int(midside_pool[center_pool_ind]) - edge_pool_mask = np.ones(midside_pool.shape[0], dtype=bool) - edge_pool_mask[center_pool_ind] = False - edge_pool_local_inds = midside_pool[edge_pool_mask] - edge_pool_coords = face_coords[edge_pool_local_inds, :] - else: - center_local_ind = -1 - edge_pool_local_inds = midside_pool - edge_pool_coords = mid_pool_coords - - edge_midpoints = np.array( - [ - 0.5 * ( - face_coords[start_ind, :] + - face_coords[end_ind, :] - ) - for (start_ind, end_ind) in edge_corner_pairs - ], - dtype=np.float64, - ) - edge_dists = np.linalg.norm( - edge_pool_coords[:, None, :] - edge_midpoints[None, :, :], - axis=2, - ) - edge_order = np.argmin(edge_dists, axis=0) - reordered_edge_inds = edge_pool_local_inds[edge_order] - - if nodes_per_face == 6: - face_out[3:6] = face_out[reordered_edge_inds] - elif nodes_per_face == 7: - face_out[3:6] = face_out[reordered_edge_inds] - face_out[6] = face_out[center_local_ind] - elif nodes_per_face == 8: - face_out[4:8] = face_out[reordered_edge_inds] - elif nodes_per_face == 9: - face_out[4:8] = face_out[reordered_edge_inds] - face_out[8] = face_out[center_local_ind] - - return face_out - - -def _enforce_ccw_winding_table(connect: np.ndarray, coords: np.ndarray) -> np.ndarray: - connect_out = np.copy(connect) - for idx, row in enumerate(connect_out): - metric = _winding_metric(row, coords) - if metric is not None and metric < 0.0: - connect_out[idx, :] = _reverse_surface_row(row) - return np.ascontiguousarray(connect_out, dtype=np.int64) - - -def _enforce_cw_winding_table(connect: np.ndarray, coords: np.ndarray) -> np.ndarray: - connect_out = np.copy(connect) - for idx, row in enumerate(connect_out): - metric = _winding_metric(row, coords) - if metric is not None and metric > 0.0: - connect_out[idx, :] = _reverse_surface_row(row) - return np.ascontiguousarray(connect_out, dtype=np.int64) - - -def _enforce_right_handed_table(connect: np.ndarray, coords: np.ndarray) -> np.ndarray: - connect_out = np.copy(connect) - for idx, row in enumerate(connect_out): - metric = _handedness_metric(row, coords) - if metric is not None and metric < 0.0: - if row.shape[0] in _SURFACE_NODE_COUNTS and _is_coplanar(coords[row[_get_corner_indices(row.shape[0])]]): - connect_out[idx, :] = _reverse_surface_row(row) - else: - connect_out[idx, :] = _reverse_handedness_row(row) - return np.ascontiguousarray(connect_out, dtype=np.int64) - - -def _get_surface_map(nodes_per_elem: int) -> np.ndarray: - if nodes_per_elem == 4: # TET4 - return np.array(((0, 1, 2), - (0, 3, 1), - (0, 2, 3), - (1, 3, 2)), dtype=np.int64) - if nodes_per_elem == 8: # HEX8 - return np.array(((0, 1, 2, 3), - (0, 3, 7, 4), - (4, 7, 6, 5), - (1, 5, 6, 2), - (0, 4, 5, 1), - (2, 6, 7, 3)), dtype=np.int64) - if nodes_per_elem == 10: # TET10 - return np.array(((0, 1, 2, 4, 5, 6), - (0, 3, 1, 7, 8, 4), - (0, 2, 3, 6, 9, 7), - (1, 3, 2, 8, 9, 5)), dtype=np.int64) - if nodes_per_elem == 20: # HEX20 - return np.array(((0, 1, 2, 3, 8, 9, 10, 11), - (0, 3, 7, 4, 11, 15, 19, 16), - (4, 7, 6, 5, 15, 14, 13, 12), - (1, 5, 6, 2, 17, 13, 18, 9), - (0, 4, 5, 1, 16, 12, 17, 8), - (2, 6, 7, 3, 18, 14, 19, 10)), dtype=np.int64) - if nodes_per_elem == 27: # HEX27 - return np.array(((0, 1, 2, 3, 8, 9, 10, 11, 24), - (0, 3, 7, 4, 11, 15, 19, 16, 26), - (4, 7, 6, 5, 15, 14, 13, 12, 25), - (1, 5, 6, 2, 17, 13, 18, 9, 21), - (0, 4, 5, 1, 16, 12, 17, 8, 22), - (2, 6, 7, 3, 18, 14, 19, 10, 20)), dtype=np.int64) - raise NotImplementedError( - "Surface extraction is only implemented for tet and hex element families." - ) - - -def _extract_surface_faces_from_table( - connect: np.ndarray, - coords: np.ndarray, -) -> tuple[np.ndarray, np.ndarray]: - nodes_per_elem = connect.shape[1] - face_map = _get_surface_map(nodes_per_elem) - faces_wound = connect[:, face_map] - faces_flat_wound = faces_wound.reshape((-1, face_map.shape[1])) - faces_flat_sorted = np.sort(faces_flat_wound, axis=1) - - (_, unique_inds, unique_counts) = np.unique( - faces_flat_sorted, - axis=0, - return_index=True, - return_counts=True, - ) - ext_face_inds = unique_inds[unique_counts == 1] - ext_parent_elem_inds = np.ascontiguousarray( - ext_face_inds // face_map.shape[0], - dtype=np.int64, - ) - ext_faces = np.copy(faces_flat_wound[ext_face_inds]) - - for ff, parent_elem_ind in enumerate(ext_parent_elem_inds): - ext_faces[ff, :] = _orient_surface_face_outward( - ext_faces[ff, :], - connect[parent_elem_ind, :], - coords, - ) - ext_faces[ff, :] = _normalise_surface_face_node_order( - ext_faces[ff, :], - coords, - ) - - ext_faces = np.ascontiguousarray(ext_faces, dtype=np.int64) - return ext_faces, ext_parent_elem_inds - - -def _extract_parent_elem_inds(connect: np.ndarray) -> np.ndarray: - nodes_per_elem = connect.shape[1] - face_map = _get_surface_map(nodes_per_elem) - faces_per_elem = face_map.shape[0] - faces_wound = connect[:, face_map] - faces_flat_wound = faces_wound.reshape((-1, face_map.shape[1])) - faces_flat_sorted = np.sort(faces_flat_wound, axis=1) - - (_, unique_inds, unique_counts) = np.unique( - faces_flat_sorted, - axis=0, - return_index=True, - return_counts=True, - ) - ext_face_inds = unique_inds[unique_counts == 1] - return np.ascontiguousarray(ext_face_inds // faces_per_elem, dtype=np.int64) - - -def _restore_source_connectivity_style( - mesh_in: SimData, - *, - one_based: bool, - transposed: bool, -) -> SimData: - if mesh_in.connect is None: - return mesh_in - - connect_out: dict[str, np.ndarray] = {} - for name, connect in mesh_in.connect.items(): - connect_fmt = np.copy(connect) - if one_based: - connect_fmt = connect_fmt + 1 - if transposed: - connect_fmt = connect_fmt.T - connect_out[name] = np.ascontiguousarray(connect_fmt, dtype=np.int64) - - return _copy_sim_data(mesh_in, connect=connect_out) - - -def extract_surf_between( - mesh_in: SimData, - point: np.ndarray | list[float] | tuple[float, ...], - normal: np.ndarray | list[float] | tuple[float, ...], - distance: float | None = None, - tolerance: float = 1.0e-6, - enforce_convention: bool = True, -) -> SimData: - """Extracts a surface mesh between two planes defined by point, normal, - and distance. - - Parameters - ---------- - mesh_in : SimData - The input simulation data/mesh. - point : np.ndarray | list[float] | tuple[float, ...] - A point on the first plane. - normal : np.ndarray | list[float] | tuple[float, ...] - The normal vector of the planes. - distance : float | None, optional - The distance along the normal to the second plane. If None, the - surface is extracted at +/- tolerance about the first plane. - tolerance : float, optional - Numerical tolerance for checking if nodes lie between the planes. - Defaults to 1.0e-6. - enforce_convention : bool, optional - If True, normalizes the output mesh to the pyvale convention. - Defaults to True. - - Returns - ------- - SimData - The extracted surface mesh. - """ - if mesh_in.connect is None: - raise ValueError("Surface extraction requires connectivity tables.") - if mesh_in.coords is None: - raise ValueError("Surface extraction requires coords.") - - # Format point and normal to 3D arrays - point_arr = np.zeros(3, dtype=np.float64) - point_arr[:len(point)] = point - - normal_arr = np.zeros(3, dtype=np.float64) - normal_arr[:len(normal)] = normal - norm_val = np.linalg.norm(normal_arr) - if norm_val < _TOL: - raise ValueError("Normal vector cannot be zero.") - normal_arr = normal_arr / norm_val - - # Project coordinates along normal relative to point - diff = mesh_in.coords - point_arr - proj = diff @ normal_arr - - # Determine bounds - if distance is not None: - d = float(distance) - min_bound = min(0.0, d) - tolerance - max_bound = max(0.0, d) + tolerance - else: - min_bound = -tolerance - max_bound = tolerance - - connect_norm: dict[str, np.ndarray] = {} - source_zero_based = True - source_row_major = True - shift_all = _infer_mesh_zero_based_shift( - mesh_in, mesh_in.coords.shape[0] - ) - - for name, connect_raw in mesh_in.connect.items(): - connect = _coerce_connect_array(connect_raw, name) - if _should_transpose_connectivity(connect, name, mesh_in): - source_row_major = False - connect = connect.T - legacy_connect = _table_needs_zero_based_shift( - connect, - mesh_in.coords.shape[0], - shift_all, - ) - if legacy_connect: - source_zero_based = False - connect = connect - 1 - if not _check_indices_zero_based(connect, mesh_in.coords.shape[0]): - raise ValueError( - f"Connectivity table '{name}' contains invalid indices " - "for surface extraction." - ) - connect = _normalise_legacy_connectivity_order( - connect, legacy_connect - ) - connect_norm[name] = _enforce_right_handed_table( - _enforce_ccw_winding_table(connect, mesh_in.coords), - mesh_in.coords, - ) - - surf_connect_global: dict[str, np.ndarray] = {} - surf_elem_sources: dict[str, np.ndarray] = {} - surf_node_inds = np.array([], dtype=np.int64) - - for name, connect in connect_norm.items(): - nodes_per_elem = connect.shape[1] - is_vol = nodes_per_elem in (4, 8, 10, 20, 27) - if is_vol: - face_map = _get_surface_map(nodes_per_elem) - faces_per_elem = face_map.shape[0] - faces_wound = connect[:, face_map] - faces_flat_wound = faces_wound.reshape((-1, face_map.shape[1])) - faces_flat_sorted = np.sort(faces_flat_wound, axis=1) - - _, unique_inds = np.unique( - faces_flat_sorted, - axis=0, - return_index=True, - ) - candidate_faces = faces_flat_wound[unique_inds] - parent_inds = unique_inds // faces_per_elem - else: - candidate_faces = connect - parent_inds = np.arange(connect.shape[0], dtype=np.int64) - - if candidate_faces.size == 0: - continue - - face_projs = proj[candidate_faces] - in_bounds = np.all( - (face_projs >= min_bound) & (face_projs <= max_bound), - axis=1 - ) - - filtered_faces = candidate_faces[in_bounds] - filtered_parents = parent_inds[in_bounds] - - if filtered_faces.size > 0: - surf_connect_global[name] = filtered_faces - surf_elem_sources[name] = filtered_parents - surf_node_inds = np.union1d( - surf_node_inds, np.unique(filtered_faces) - ) - - if len(surf_connect_global) == 0 or surf_node_inds.size == 0: - raise ValueError( - "No elements/faces found between the specified planes." - ) - - surf_coords = np.ascontiguousarray( - mesh_in.coords[surf_node_inds], - dtype=mesh_in.coords.dtype - ) - coord_remap = np.full(mesh_in.coords.shape[0], -1, dtype=np.int64) - coord_remap[surf_node_inds] = np.arange( - surf_node_inds.shape[0], dtype=np.int64 - ) - - surf_connect_local: dict[str, np.ndarray] = {} - for name, surf_faces in surf_connect_global.items(): - surf_connect_local[name] = coord_remap[surf_faces] - - surf_mesh = _copy_sim_data(mesh_in) - surf_mesh.coords = surf_coords - surf_mesh.connect = surf_connect_local - surf_mesh.side_sets = None - - if mesh_in.node_vars is not None: - surf_mesh.node_vars = { - name: values[surf_node_inds, :] - for name, values in mesh_in.node_vars.items() - } - - if mesh_in.elem_vars is not None: - surf_mesh.elem_vars = {} - for (var_name, block_id), values in mesh_in.elem_vars.items(): - connect_key = f"connect{block_id}" - if connect_key in surf_elem_sources: - surf_mesh.elem_vars[(var_name, block_id)] = values[ - surf_elem_sources[connect_key], : - ] - - if not enforce_convention: - surf_mesh = _restore_source_connectivity_style( - surf_mesh, - one_based=not source_zero_based, - transposed=not source_row_major, - ) - return surf_mesh - - return enforce_mesh_convention(surf_mesh) diff --git a/src/pyvale/dataio/simdata.py b/src/pyvale/dataio/simdata.py index 69fff1d0c..2dfbb83df 100644 --- a/src/pyvale/dataio/simdata.py +++ b/src/pyvale/dataio/simdata.py @@ -6,9 +6,17 @@ from dataclasses import dataclass from collections.abc import Iterable +from enum import Enum import numpy as np +class EMeshType(Enum): + """Topological class of a finite-element mesh.""" + + VOL = "volume" + SURF = "surface" + + @dataclass(slots=True) class SimData: """Data class for simulation output. Allows for structured meshes with @@ -20,6 +28,15 @@ class SimData: 1D simulations using any combination of the [x,y,z] axes. """ + mesh_type: EMeshType | None = None + """Whether connectivity describes volume cells or surface elements. + + ``None`` is retained for point clouds and partially populated objects. + When coordinates and connectivity are supplied to the constructor, this is + inferred geometrically. Call :meth:`refresh_mesh_type` after assigning + either field later. + """ + time: np.ndarray | None = None """ Vector of time steps with dimensions [t]. Defaults to None. """ @@ -76,6 +93,29 @@ class SimData: Defaults to None. """ + def __post_init__(self) -> None: + if self.mesh_type is None and self.coords is not None: + if self.connect is not None: + self.refresh_mesh_type() + + def refresh_mesh_type(self) -> None: + """Infer and store the mesh type from the current mesh geometry.""" + if self.coords is None or self.connect is None: + self.mesh_type = None + return + + # Deferred import avoids a module cycle: meshconv operates on SimData. + from pyvale.dataio.meshconv import is_volume_mesh + + try: + self.mesh_type = ( + EMeshType.VOL if is_volume_mesh(self) else EMeshType.SURF + ) + except (NotImplementedError, ValueError): + # Preserve construction of malformed or unsupported meshes so the + # convention tools can provide their targeted diagnostic later. + self.mesh_type = None + @dataclass(slots=True) class SimLoadConfig: """Used to specify names of variables to be read into the SimData class. diff --git a/src/pyvale/dataio/simloaderbyfield.py b/src/pyvale/dataio/simloaderbyfield.py index fd6e70fc1..5d5208cad 100644 --- a/src/pyvale/dataio/simloaderbyfield.py +++ b/src/pyvale/dataio/simloaderbyfield.py @@ -9,7 +9,7 @@ import numpy as np import pandas as pd from pyvale.dataio.simdata import SimData, SimLoadConfig -from pyvale.dataio.meshtools import enforce_mesh_convention +from pyvale.dataio.meshconv import enforce_mesh_convention from pyvale.dataio.loadtools import (str_to_path, load_array, load_connectivity, @@ -196,6 +196,8 @@ def load_sim_data(self, load_config: SimLoadConfig) -> SimData: and sim_data.coords is not None): sim_data = enforce_mesh_convention(sim_data) + sim_data.refresh_mesh_type() + return sim_data diff --git a/src/pyvale/dataio/simloaderbytime.py b/src/pyvale/dataio/simloaderbytime.py index a83d671c4..97a05be61 100644 --- a/src/pyvale/dataio/simloaderbytime.py +++ b/src/pyvale/dataio/simloaderbytime.py @@ -9,7 +9,7 @@ import numpy as np import pandas as pd from pyvale.dataio.simdata import SimData, SimLoadConfig -from pyvale.dataio.meshtools import enforce_mesh_convention +from pyvale.dataio.meshconv import enforce_mesh_convention from pyvale.dataio.loadtools import (str_to_path, load_array, load_connectivity, @@ -178,6 +178,8 @@ def load_sim_data(self, load_config: SimLoadConfig) -> SimData: and sim_data.coords is not None): sim_data = enforce_mesh_convention(sim_data) + sim_data.refresh_mesh_type() + return sim_data diff --git a/src/pyvale/dataset/__init__.py b/src/pyvale/dataset/__init__.py deleted file mode 100644 index ddf6650a1..000000000 --- a/src/pyvale/dataset/__init__.py +++ /dev/null @@ -1,7 +0,0 @@ -#=============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -#=============================================================================== - -from .dataset import * \ No newline at end of file diff --git a/src/pyvale/dic/cpp/diccoursefine.hpp b/src/pyvale/dic/cpp/diccoursefine.hpp deleted file mode 100644 index bf5e67f12..000000000 --- a/src/pyvale/dic/cpp/diccoursefine.hpp +++ /dev/null @@ -1,45 +0,0 @@ -// ================================================================================ -// pyvale: the python validation engine -// License: MIT -// Copyright (C) 2025 The Computer Aided Validation Team -// ================================================================================ - -#ifndef DICCOARSEFINE_H -#define DICCOARSEFINE_H - -#include -#include - -namespace coarsefine { - - // Downsample an image by factor 2 using simple averaging - std::vector downsample(const double* img, int width, int height); - - // Extract a subset patch centered at (cx, cy) from an image of given width - // Returns false if the patch would go out of bounds - bool extract_subset(const double* img, int img_w, int img_h, - int cx, int cy, int ss_size, - std::vector& patch); - - struct CoarseToFineResult { - double disp_x = 0.0; - double disp_y = 0.0; - double peak_val = 0.0; - bool success = false; - }; - - CoarseToFineResult coarse_to_fine_search( - const double* img_ref, - const double* img_def, - int img_w, - int img_h, - int center_x, // subset center in the reference image - int center_y, - int ss_size, // subset size at full resolution (e.g. 51) - int max_displacement, // max displacement at full resolution (e.g. 1000) - bool subpx = true, - const std::string& peak_method = "GAUSSIAN_2D" - ); - -} -#endif // DICCOARSEFINE_H diff --git a/src/pyvale/dic/dic3d.py b/src/pyvale/dic/dic3d.py index acc5b51c1..756454eb6 100644 --- a/src/pyvale/dic/dic3d.py +++ b/src/pyvale/dic/dic3d.py @@ -106,16 +106,16 @@ def calculate_3d(reference: list[np.ndarray] | list[str] | list[Path], Options include: * ``"MULTIWINDOW_RG"``: Multi-window Reliability-Guided DIC - (best overall approach). + (best overall approach). * ``"SINGLEWINDOW_RG"``: Uses a single window for the rigid estimate - for each subset. The size of the window is determined by the - ``max_displacement`` parameter. + for each subset. The size of the window is determined by the + ``max_displacement`` parameter. * ``"MULTIWINDOW"``: Uses only the multi-window FFT strategy. * ``"RASTER"``: No FFT initialization. Performs a raster scan of - the image. + the image. incremental : bool, optional If True, then references images will be updated depending on the diff --git a/src/pyvale/examples/basicsensorsim/ex0_quickstart.py b/src/pyvale/examples/basicsensorsim/ex0_quickstart.py index c8ce1d21f..59c64c516 100644 --- a/src/pyvale/examples/basicsensorsim/ex0_quickstart.py +++ b/src/pyvale/examples/basicsensorsim/ex0_quickstart.py @@ -31,7 +31,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/basicsensorsim/ex1_scalar_sensors.py b/src/pyvale/examples/basicsensorsim/ex1_scalar_sensors.py index f0e2b41e9..355466584 100644 --- a/src/pyvale/examples/basicsensorsim/ex1_scalar_sensors.py +++ b/src/pyvale/examples/basicsensorsim/ex1_scalar_sensors.py @@ -43,14 +43,14 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data # ------------------------------- # Here we load a MOOSE finite element simulation dataset that comes packaged -# with `pyvale` in exodus (*.e) format. `pyvale` loads simulations into a +# with `pyvale` in exodus (``*.e``) format. `pyvale` loads simulations into a # `SimData` object which contains the nodal coordinates, simulation time steps, # the nodal physics variables and optionally the element connectivity tables. # @@ -66,7 +66,7 @@ #%% # .. note:: -# You can load your own exodus (*.e) file here by changing the path or you can +# You can load your own exodus (``*.e``) file here by changing the path or you can # load your own simulation data from delimited plain text files or numpy npy # files. See the advanced example 'Bring your own simulation data'. @@ -136,7 +136,7 @@ # are resampled. However, if we call `.get_measurements()` then we are returned # the previously simulated values. Throughout `pyvale` methods prefixed with # `get` can be expected to return previous values if they exist whereas `sim` -# or `calc `methods will actually perform a simulation or calculation. +# or `calc` methods will actually perform a simulation or calculation. measurements: np.ndarray = sens_array.sim_measurements() truth: np.ndarray = sens_array.get_truth() diff --git a/src/pyvale/examples/basicsensorsim/ex2_vector_tensor_sensors.py b/src/pyvale/examples/basicsensorsim/ex2_vector_tensor_sensors.py index 2d003f274..dbd55d585 100644 --- a/src/pyvale/examples/basicsensorsim/ex2_vector_tensor_sensors.py +++ b/src/pyvale/examples/basicsensorsim/ex2_vector_tensor_sensors.py @@ -26,13 +26,13 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data # ------------------------------- # As we did in the last example we load a finite element simulation dataset that -# comes packaged with `pyvale` in exodus (*.e) format. We also convert the +# comes packaged with `pyvale` in exodus (``*.e``) format. We also convert the # length units of our simulation from meters to milli-meters as our # visualisation tools are based on unit scaling by default. diff --git a/src/pyvale/examples/basicsensorsim/ex3_experiment_simulator.py b/src/pyvale/examples/basicsensorsim/ex3_experiment_simulator.py index 3ef1dc645..0033f374c 100644 --- a/src/pyvale/examples/basicsensorsim/ex3_experiment_simulator.py +++ b/src/pyvale/examples/basicsensorsim/ex3_experiment_simulator.py @@ -20,7 +20,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/blenderimagedef/ex1_blender_scene2d.py b/src/pyvale/examples/blenderimagedef/ex1_blender_scene2d.py deleted file mode 100644 index 56481e40d..000000000 --- a/src/pyvale/examples/blenderimagedef/ex1_blender_scene2d.py +++ /dev/null @@ -1,176 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -Creating a scene for 2D DIC ---------------------------------------------- - -This example takes you through creating a scene and adding all the necessary -objects required to represent a 2D DIC setup (camera, lighting and sample). -This example will then show you how to render a single image of this scene. - -Test case: mechanical analysis of a plate with a hole loaded in tension. -""" - -import numpy as np -from scipy.spatial.transform import Rotation -from pathlib import Path - -#pyvale modules -import pyvale.sensorsim as sens -import pyvale.dataset as dataset -import pyvale.blender as blender -import pyvale.mooseherder as mh - -# %% -# Here we load in a pre-generated MOOSE finite element simulation dataset that -# comes packaged with pyvale. The simulation is purely mechanical test case in -# 3D of a plate with a hole loaded in tension. A mentioned in previous examples, -# this path can be replaced with your own MOOSE simulation output in exodus -# format (*.e). `mooseherder` is then used to convert the simulation output -# into a `SimData` object. - -data_path = dataset.render_mechanical_3d_path() -sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - -# %% -# This is then scaled to mm, as all lengths in Blender are to be set in mm. -# The `SimData` object is then converted into a `RenderMeshData` object, as -# this skins the mesh ready to be imported into Blender. The `disp_keys` are -# the expected direction of displacement. Since this is a 3D deformation test -# case, displacement is expected in the x, y and z directions. -disp_keys = ("disp_x","disp_y", "disp_z") -sim_data = sens.scale_length_units(scale=1000.0, - sim_data=sim_data, - disp_keys=disp_keys) - -render_mesh = sens.create_render_mesh(sim_data, - ("disp_y","disp_x"), - sim_spat_dim=sens.EDim.THREED, - field_disp_keys=disp_keys) - -# %% -# We create our standard pyvale-output directory here so we can save the our -# rendered images to this location. All rendered images will be saved to -# Firstly, a save path must be set. -# In order to do this a base path must be set. Then all the generated files will -# be saved to a subfolder within this specified base directory -# (e.g. blenderimages). -# If no base directory is specified, it will be set as your home directory. - -base_dir = Path.cwd() / "pyvale-output" -if not base_dir.is_dir(): - base_dir.mkdir(parents=True, exist_ok=True) - -# %% -# Creating the scene -# ^^^^^^^^^^^^^^^^^^ -# In order to create a DIC setup in Blender, first a scene must be created. -# A scene is a holding space for all of your objects (e.g. camera(s), light(s) -# and sample(s)). -# A scene is initialised using the `blender.Scene` class. All the subsequent -# objects and actions necessary are then methods of this class. - -scene = blender.Scene() - -# %% -# The next thing that can be added to the scene is a sample. -# This is done by passing in the `RenderMeshData` object. -# It should be noted that the mesh will be centred on the origin to allow for -# the cameras to be centred on the mesh. -# Once the part is added to the Blender scene, it can be both moved and rotated. - -part = scene.add_part(render_mesh, sim_spat_dim=3) -# Set the part location -part_location = np.array([0, 0, 0]) -blender.Tools.move_blender_obj(part=part, pos_world=part_location) -# Set part rotation -part_rotation = Rotation.from_euler("xyz", [0, 0, 0], degrees=True) -blender.Tools.rotate_blender_obj(part=part, rot_world=part_rotation) - -# %% -# A camera can then be added to the scene. -# To initialise a camera, the camera parameters must be specified using the -# `CameraData` dataclass. Note that all lengths / distances inputted are in mm. -# This camera can then be added to the Blender scene. -# The camera can also be moved and rotated. - -cam_data = sens.CameraData(pixels_num=np.array([1540, 1040]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15.0) -camera = scene.add_camera(cam_data) -camera.location = (0, 0, 410) -camera.rotation_euler = (0, 0, 0) # NOTE: The default is an XYZ Euler angle - -# %% -# A light can the be added to the scene. -# Blender offers different light types: Point, Sun, Spot and Area. -# The light can also be moved and rotated like the camera. - -light_data = blender.LightData(type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", - [0, 0, 0]), - energy=1) -light = scene.add_light(light_data) -light.location = (0, 0, 410) -light.rotation_euler = (0, 0, 0) - -# %% -# A speckle pattern can then be applied to the sample. -# Firstly, the material properties of the sample must be specified, but these -# will all be defaulted if no inputs are provided. -#The speckle pattern can then be specified by providing a path to an image file -# with the pattern. -# The mm/px resolution of the camera must also be specified in order to -# correctly scale the speckle pattern. -# It should be noted that for a bigger camera or sample you may need to generate -# a larger speckle pattern. - -material_data = blender.MaterialData() -speckle_path = dataset.dic_pattern_5mpx_path() - -mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data) -scene.add_speckle(part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution) - -# %% -# Rendering an image -# ^^^^^^^^^^^^^^^^^^ -# Once all the objects have been added to the scene, an image can be rendered. -# Firstly, all the rendering parameters must be set, including parameters such as -# the number of threads to use. - -render_data = blender.RenderData(cam_data=cam_data, - base_dir=base_dir, - dir_name="blender-scene", - threads=8) - -# %% -# A single image of the scene can then be rendered. -# If `stage_image` is set to True, the image will be saved to disk, converted to -# an array, deleted and the image array will be returned. This is due to the -# fact that an image cannot be saved directly as an array through Blender. - -scene.render_single_image(stage_image=False, - render_data=render_data) - -# %% -# The rendered image will be saved to this filepath: - -print("Save directory of the image:", (render_data.base_dir / render_data.dir_name)) - -# %% -# There is also the option to save the scene as a Blender project file. -# This file can be opened with the Blender GUI to view the scene. - -blender.Tools.save_blender_file(base_dir=base_dir,over_write=True) - diff --git a/src/pyvale/examples/blenderimagedef/ex2_blender_imagedef2d.py b/src/pyvale/examples/blenderimagedef/ex2_blender_imagedef2d.py deleted file mode 100644 index 909d4c528..000000000 --- a/src/pyvale/examples/blenderimagedef/ex2_blender_imagedef2d.py +++ /dev/null @@ -1,177 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -Deforming a sample for 2D DIC -=============================================== - -This example follows a similar workflow to the previous Blender example. -In this example, a deformation is applied to sample, and images are rendered at -each timestep. - -Test case: mechanical analysis of a plate with a hole loaded in tension. -""" - -import numpy as np -from scipy.spatial.transform import Rotation -from pathlib import Path - -# pyvale imports -import pyvale.sensorsim as sens -import pyvale.dataset as dataset -import pyvale.blender as blender -import pyvale.mooseherder as mh - -# %% -# The simulation results are loaded in here in the same way as the previous -# example. As mentioned this `data_path` can be replaced with your own MOOSE -# simulation output in exodus format (*.e). - -data_path = dataset.render_mechanical_3d_path() -sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - -# %% -# This is then scaled to mm, as all lengths in Blender are to be set in mm. -# The `SimData` object is then converted into a `RenderMeshData` object, as -# this skins the mesh ready to be imported into Blender. -# The `disp_comps` are the expected direction of displacement. Since this is a -# 3D deformation test case, displacement is expected in the x, y and z directions. - -disp_comps = ("disp_x","disp_y", "disp_z") -sim_data = sens.scale_length_units(scale=1000.0, - sim_data=sim_data, - disp_keys=disp_comps) - -render_mesh = sens.create_render_mesh(sim_data, - ("disp_y","disp_x"), - sim_spat_dim=sens.EDim.THREED, - field_disp_keys=disp_comps) - -# %% -# Firstly, a save path must be set. -# In order to do this a base path must be set. Then all the generated files will -# be saved to a subfolder within this specified base directory -# (e.g. blenderimages). -# If no base directory is specified, it will be set as your home directory. - -base_dir = Path.cwd() / "pyvale-output" -if not base_dir.is_dir(): - base_dir.mkdir(parents=True, exist_ok=True) - -# %% -# Creating the scene -# ^^^^^^^^^^^^^^^^^^ -# In order to create a DIC setup in Blender, first a scene must be created. -# A scene is initialised using the `BlenderScene` class. All the subsequent -# objects and actions necessary are then methods of this class. - -scene = blender.Scene() - -# %% -# The next thing that can be added to the scene is a sample. -# This is done by passing in the `RenderMeshData` object. -# It should be noted that the mesh will be centred on the origin to allow for -# the cameras to be centred on the mesh. -# Once the part is added to the Blender scene, it can be both moved and rotated. - - -part = scene.add_part(render_mesh, sim_spat_dim=3) -# Set the part location -part_location = np.array([0, 0, 0]) -blender.Tools.move_blender_obj(part=part, pos_world=part_location) -part_rotation = Rotation.from_euler("xyz", [0, 0, 0], degrees=True) -blender.Tools.rotate_blender_obj(part=part, rot_world=part_rotation) - -# %% -# A camera can then be added to the scene. -# To initialise a camera, the camera parameters must be specified using the -# `CameraData` dataclass. Note that all lengths / distances inputted are in mm. -# This camera can then be added to the Blender scene. -# The camera can also be moved and rotated. - -cam_data = sens.CameraData(pixels_num=np.array([1540, 1040]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15.0) -camera = scene.add_camera(cam_data) -camera.location = (0, 0, 410) -camera.rotation_euler = (0, 0, 0) # NOTE: The default is an XYZ Euler angle - -# %% -# A light can the be added to the scene. -# Blender offers different light types: Point, Sun, Spot and Area. -# The light can also be moved and rotated like the camera. - -light_data = blender.LightData(type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", - [0, 0, 0]), - energy=1) -light = scene.add_light(light_data) -light.location = (0, 0, 410) -light.rotation_euler = (0, 0, 0) - -# %% -# A speckle pattern can then be applied to the sample. -# Firstly, the material properties of the sample must be specified, but these -# will all be defaulted if no inputs are provided. -#The speckle pattern can then be specified by providing a path to an image file -# with the pattern. -# The mm/px resolution of the camera must also be specified in order to -# correctly scale the speckle pattern. -# It should be noted that for a bigger camera or sample you may need to generate -# a larger speckle pattern. - -material_data = blender.MaterialData() -speckle_path = dataset.dic_pattern_5mpx_path() -mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data) -scene.add_speckle(part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution) - -# %% -# Deforming the sample and rendering images -# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -# Once all the objects have been added to the scene, the sample can be deformed, -# and images can be rendered. -# Firstly, all the rendering parameters must be set, including parameters such as -# the number of threads to use. - -render_data = blender.RenderData(cam_data=cam_data, - base_dir=base_dir, - dir_name="blender-def", - threads=8) - -# %% -# A series of deformed images can then be rendered. -# This is done by passing in rendering parameters, as well as the -# `RenderMeshData` object, the part(sample) and the spatial dimension of the -# simulation. -# This will automatically deform the sample, and render subsequent images at -# each deformation timestep. -# If `stage_image` is set to True, the image will be saved to disk, converted to -# an array, deleted and the image array will be returned. This is due to the -# fact that an image cannot be saved directly as an array through Blender. - -scene.render_deformed_images(render_mesh, - sim_spat_dim=3, - render_data=render_data, - part=part, - stage_image=False) - -# %% -# The rendered image will be saved to this filepath: - -print("Save directory of the image:", (render_data.base_dir / render_data.dir_name)) - -# %% -# There is also the option to save the scene as a Blender project file. -# This file can be opened with the Blender GUI to view the scene. - -blender.Tools.save_blender_file(base_dir=base_dir,over_write=True) diff --git a/src/pyvale/examples/blenderimagedef/ex3_blender_scenestereo.py b/src/pyvale/examples/blenderimagedef/ex3_blender_scenestereo.py deleted file mode 100644 index 387cfc0a8..000000000 --- a/src/pyvale/examples/blenderimagedef/ex3_blender_scenestereo.py +++ /dev/null @@ -1,205 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -Creating a scene for stereo DIC -------------------------------------------------- - -This example takes you through creating a scene and adding all the necessary -objects required to represent a stereo DIC setup (two cameras, lighting and -sample). This example will then show you how to render a static image of this -scene. - -Test case: mechanical analysis of a plate with a hole loaded in tension. -""" -import numpy as np -from scipy.spatial.transform import Rotation -from pathlib import Path - -# pyvale imports -import pyvale.sensorsim as sens -import pyvale.dataset as dataset -import pyvale.blender as blender -import pyvale.mooseherder as mh - -# %% -# The simulation results are loaded in here in the same way as the previous -# example. As mentioned this `data_path` can be replaced with your own MOOSE -# simulation output in exodus format (*.e). - -data_path = dataset.render_mechanical_3d_path() -sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - -# %% -# This is then scaled to mm, as all lengths in Blender are to be set in mm. -# The `SimData` object is then converted into a `RenderMeshData` object, as -# this skins the mesh ready to be imported into Blender. -# The `disp_comps` are the expected direction of displacement. Since this is a -# 3D deformation test case, displacement is expected in the x, y and z directions. - -disp_comps = ("disp_x","disp_y", "disp_z") -sim_data = sens.scale_length_units(scale=1000.0, - sim_data=sim_data, - disp_keys=disp_comps) - -render_mesh = sens.create_render_mesh(sim_data, - ("disp_y","disp_x"), - sim_spat_dim=sens.EDim.THREED, - field_disp_keys=disp_comps) - -# %% -# Firstly, a save path must be set. -# In order to do this a base path must be set. Then all the generated files will -# be saved to a subfolder within this specified base directory -# (e.g. blenderimages). -# If no base directory is specified, it will be set as your home directory. - -base_dir = Path.cwd() / "pyvale-output" -if not base_dir.is_dir(): - base_dir.mkdir(parents=True, exist_ok=True) - -# %% -# Creating the scene -# ^^^^^^^^^^^^^^^^^^ -# In order to create a DIC setup in Blender, first a scene must be created. -# A scene is initialised using the `blender.Scene` class. All the subsequent -# objects and actions necessary are then methods of this class. -scene = blender.Scene() - -# %% -# The next thing that can be added to the scene is a sample. -# This is done by passing in the `RenderMeshData` object. -# It should be noted that the mesh will be centred on the origin to allow for -# the cameras to be centred on the mesh. -# Once the part is added to the Blender scene, it can be both moved and rotated. - -part = scene.add_part(render_mesh, sim_spat_dim=3) -# Set the part location -part_location = np.array([0, 0, 0]) -blender.Tools.move_blender_obj(part=part, pos_world=part_location) -# Set part rotation -part_rotation = Rotation.from_euler("xyz", [0, 0, 0], degrees=True) -blender.Tools.rotate_blender_obj(part=part, rot_world=part_rotation) - -# %% -# The cameras can then be initialised. A stereo camera system is defined by a -# `CameraStereo` object, which contains the intrinsic parameters of both cameras -# as well as the extrinsic parameters between them. -# There are two ways to initialise a `CameraStereo` object. -# One way is to specify the camera parameters separately for each camera, create -# a `CameraStereo` object, and then add the stereo system using the -# `add_stereo_system` method. -# The other method is to use a convenience function, as shown below. -# This requires you to first initialise one camera. Then you can choose between -# either a face-on or symmetric stereo system. Then, either of the -# `symmetric_stereo_cameras` or `faceon_stereo_cameras` functions can be used to -# initialise a `CameraStereo` object. The only input required to these functions -# are the camera parameters for the first camera, and the desired stereo angle -# between the two. The cameras can then be added to the Blender scene using the -# `add_stereo_system` method. - -cam_data_0 = sens.CameraData(pixels_num=np.array([1540, 1040]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=np.array([0, 0, 400]), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15.0) -# Set this to "symmetric" to get a symmetric stereo system or set this to -# "faceon" to get a face-on stereo system -stereo_setup = "faceon" -if stereo_setup == "symmetric": - stereo_system = sens.CameraTools.symmetric_stereo_cameras( - cam_data_0=cam_data_0, - stereo_angle=15.0) -elif stereo_setup == "faceon": - stereo_system = sens.CameraTools.faceon_stereo_cameras( - cam_data_0=cam_data_0, - stereo_angle=15.0) -else: - raise ValueError(f"Unknown stereo_setup: {stereo_setup}") - -cam0, cam1 = scene.add_stereo_system(stereo_system) - -# %% -# Since this scene contains a stereo DIC system, a calibration file will be -# required to run the images through a DIC engine. -# A calibration file can be generated directly from the `CameraStereo` object. -# The calibration file will be saved in `YAML` format. However, if you wish to -# use MatchID to process the images, `save_calibration_mid` can be used instead -# to save the calibration in a format readable by MatchID. -# The calibration file will be saved to a sub-directory of the base directory -# called "calibration". -stereo_system.save_calibration(base_dir) - -# %% -# A light can the be added to the scene. -# Blender offers different light types: Point, Sun, Spot and Area. -# The light can also be moved and rotated like the camera. - -light_data = blender.LightData(type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", - [0, 0, 0]), - energy=1) -light = scene.add_light(light_data) -light.location = (0, 0, 410) -light.rotation_euler = (0, 0, 0) # NOTE: The default is an XYZ Euler angle - -# %% -# A speckle pattern can then be applied to the sample. -# Firstly, the material properties of the sample must be specified, but these -# will all be defaulted if no inputs are provided. -#The speckle pattern can then be specified by providing a path to an image file -# with the pattern. -# The mm/px resolution of the camera must also be specified in order to -# correctly scale the speckle pattern. -# It should be noted that for a bigger camera or sample you may need to generate -# a larger speckle pattern. - -material_data = blender.MaterialData() -speckle_path = dataset.dic_pattern_5mpx_path() - -mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data_0) -scene.add_speckle(part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution) - -# %% -# Rendering a set of images -# ^^^^^^^^^^^^^^^^^^^^^^^^^ -# Once all the objects have been added to the scene, a set of images can be -# rendered.Firstly, all the rendering parameters must be set, including -# parameters such as the number of threads to use. -# Differently to a 2D DIC system, both cameras' parameters must be specified in -# the `RenderData` object. - -render_data = blender.RenderData(cam_data=(stereo_system.cam_data_0, - stereo_system.cam_data_1), - base_dir=base_dir, - dir_name="blender-stereo-scene", - threads=8) - -# %% -# A single set of images of the scene can then be rendered. -# This will render a single image from each of the cameras. -# If `stage_image` is set to True, the image will be saved to disk, converted to -# an array, deleted and the image array will be returned. This is due to the -# fact that an image cannot be saved directly as an array through Blender. - -scene.render_single_image(stage_image=False, - render_data=render_data) - -# %% -# The rendered images will be saved to this filepath: - -print("Save directory of the image:", (render_data.base_dir / render_data.dir_name)) - -# %% -# There is also the option to save the scene as a Blender project file. -# This file can be opened with the Blender GUI to view the scene. - -blender.Tools.save_blender_file(base_dir=base_dir,over_write=True) diff --git a/src/pyvale/examples/blenderimagedef/ex4_blender_imagedefstereo.py b/src/pyvale/examples/blenderimagedef/ex4_blender_imagedefstereo.py deleted file mode 100644 index 3a8cfdc67..000000000 --- a/src/pyvale/examples/blenderimagedef/ex4_blender_imagedefstereo.py +++ /dev/null @@ -1,213 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -Deforming a sample for stereo DIC -=================================================== - -This example takes you through creating stereo DIC scene, applying deformation -to the sample, and rendering images at each deformation timestep. - -Test case: mechanical analysis of a plate with a hole loaded in tension. -""" - -import numpy as np -from scipy.spatial.transform import Rotation -from pathlib import Path - -# pyvale imports -import pyvale.sensorsim as sens -import pyvale.dataset as dataset -import pyvale.blender as blender -import pyvale.mooseherder as mh - -# %% -# The simulation results are loaded in here in the same way as the previous -# example. As mentioned this `data_path` can be replaced with your own MOOSE -# simulation output in exodus format (*.e). - -data_path = dataset.render_mechanical_3d_path() -sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - -# %% -# This is then scaled to mm, as all lengths in Blender are to be set in mm. -# The `SimData` object is then converted into a `RenderMeshData` object, as -# this skins the mesh ready to be imported into Blender. -# The `disp_comps` are the expected direction of displacement. Since this is a -# 3D deformation test case, displacement is expected in the x, y and z directions. - -disp_comps = ("disp_x","disp_y", "disp_z") -sim_data = sens.scale_length_units(scale=1000.0, - sim_data=sim_data, - disp_keys=disp_comps) - -render_mesh = sens.create_render_mesh(sim_data, - ("disp_y","disp_x"), - sim_spat_dim=sens.EDim.THREED, - field_disp_keys=disp_comps) - -# %% -# Firstly, a save path must be set. -# In order to do this a base path must be set. Then all the generated files will -# be saved to a subfolder within this specified base directory -# (e.g. blenderimages). -# If no base directory is specified, it will be set as your home directory. - -base_dir = Path.cwd() / "pyvale-output" -if not base_dir.is_dir(): - base_dir.mkdir(parents=True, exist_ok=True) - -# %% -# Creating the scene -# ^^^^^^^^^^^^^^^^^^ -# In order to create a DIC setup in Blender, first a scene must be created. -# A scene is initialised using the `BlenderScene` class. All the subsequent -# objects and actions necessary are then methods of this class. -scene = blender.Scene() - -# %% -# The next thing that can be added to the scene is a sample. -# This is done by passing in the `RenderMeshData` object. -# It should be noted that the mesh will be centred on the origin to allow for -# the cameras to be centred on the mesh. -# Once the part is added to the Blender scene, it can be both moved and rotated. - -part = scene.add_part(render_mesh, sim_spat_dim=3) -# Set the part location -part_location = np.array([0, 0, 0]) -blender.Tools.move_blender_obj(part=part, pos_world=part_location) -# Set part rotation -part_rotation = Rotation.from_euler("xyz", [0, 0, 0], degrees=True) -blender.Tools.rotate_blender_obj(part=part, rot_world=part_rotation) - -# %% -# The cameras can then be initialised. A stereo camera system is defined by a -# `CameraStereo` object, which contains the intrinsic parameters of both cameras -# as well as the extrinsic parameters between them. -# There are two ways to initialise a `CameraStereo` object. -# One way is to specify the camera parameters separately for each camera, create -# a `CameraStereo` object, and then add the stereo system using the -# `add_stereo_system` method. -# The other method is to use a convenience function, as shown below. -# This requires you to first initialise one camera. Then you can choose between -# either a face-on or symmetric stereo system. Then, either of the -# `symmetric_stereo_cameras` or `faceon_stereo_cameras` functions can be used to -# initialise a `CameraStereo` object. The only input required to these functions -# are the camera parameters for the first camera, and the desired stereo angle -# between the two. The cameras can then be added to the Blender scene using the -# `add_stereo_system` method. - -cam_data_0 = sens.CameraData(pixels_num=np.array([1540, 1040]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=np.array([0, 0, 400]), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15.0) -# Set this to "symmetric" to get a symmetric stereo system or set this to -# "faceon" to get a face-on stereo system -stereo_setup = "faceon" -if stereo_setup == "symmetric": - stereo_system = sens.CameraTools.symmetric_stereo_cameras( - cam_data_0=cam_data_0, - stereo_angle=15.0) -elif stereo_setup == "faceon": - stereo_system = sens.CameraTools.faceon_stereo_cameras( - cam_data_0=cam_data_0, - stereo_angle=15.0) -else: - raise ValueError(f"Unknown stereo_setup: {stereo_setup}") - -cam0, cam1 = scene.add_stereo_system(stereo_system) - -# %% -# Since this scene contains a stereo DIC system, a calibration file will be -# required to run the images through a DIC engine. -# A calibration file can be generated directly from the `CameraStereo` object. -# The calibration file will be saved in `YAML` format. However, if you wish to -# use MatchID to process the images, `save_calibration_mid` can be used instead -# to save the calibration in a format readable by MatchID. -# The calibration file will be saved to a sub-directory of the base directory -# called "calibration". -stereo_system.save_calibration(base_dir) - -# %% -# A light can the be added to the scene. -# Blender offers different light types: Point, Sun, Spot and Area. -# The light can also be moved and rotated like the camera. -light_data = blender.LightData(type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", - [0, 0, 0]), - energy=1) -light = scene.add_light(light_data) -light.location = (0, 0, 410) -light.rotation_euler = (0, 0, 0) # NOTE: The default is an XYZ Euler angle - -# Apply the speckle pattern -material_data = blender.MaterialData() -speckle_path = dataset.dic_pattern_5mpx_path() -# NOTE: If you wish to use a bigger camera, you will need to generate a -# bigger speckle pattern generator - -# %% -# A speckle pattern can then be applied to the sample. -# Firstly, the material properties of the sample must be specified, but these -# will all be defaulted if no inputs are provided. -#The speckle pattern can then be specified by providing a path to an image file -# with the pattern. -# The mm/px resolution of the camera must also be specified in order to -# correctly scale the speckle pattern. -# It should be noted that for a bigger camera or sample you may need to generate -# a larger speckle pattern. - -mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data_0) -scene.add_speckle(part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution) - -# %% -# Deforming the sample and rendering images -# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -# Once all the objects have been added to the scene, the sample can be deformed, -# and images can be rendered. -# Firstly, all the rendering parameters must be set, including parameters such as -# the number of threads to use. -# Differently to a 2D DIC system, both cameras' parameters must be specified in -# the `RenderData` object. -render_data = blender.RenderData(cam_data=(stereo_system.cam_data_0, - stereo_system.cam_data_1), - base_dir=base_dir, - dir_name="blender-stereo-def", - threads=8) - -# %% -# A series of deformed images can then be rendered. -# This is done by passing in rendering parameters, as well as the -# `RenderMeshData` object, the part(sample) and the spatial dimension of the -# simulation. -# This will automatically deform the sample, and render images from each camera -# at each deformation timestep. -# If `stage_image` is set to True, the image will be saved to disk, converted to -# an array, deleted and the image array will be returned. This is due to the -# fact that an image cannot be saved directly as an array through Blender. - -scene.render_deformed_images(render_mesh=render_mesh, - sim_spat_dim=3, - render_data=render_data, - part=part, - stage_image=False) - -# %% -# The rendered image will be saved to this filepath: - -print("Save directory of the image:", (render_data.base_dir / render_data.dir_name)) - -# %% -# There is also the option to save the scene as a Blender project file. -# This file can be opened with the Blender GUI to view the scene. - -blender.Tools.save_blender_file(base_dir=base_dir,over_write=True) diff --git a/src/pyvale/examples/blenderimagedef/ex5_blender_calibstereo.py b/src/pyvale/examples/blenderimagedef/ex5_blender_calibstereo.py deleted file mode 100644 index 44860074a..000000000 --- a/src/pyvale/examples/blenderimagedef/ex5_blender_calibstereo.py +++ /dev/null @@ -1,190 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -Rendering calibration images ---------------------------------------------- - -This example takes you through how to render calibration images for a given DIC -setup using in-built tools for calibration target generation. - -Note that this example produces a significant number of images and will take a -long time to run. -""" -import numpy as np -from scipy.spatial.transform import Rotation -from pathlib import Path - -# pyvale imports -import pyvale.sensorsim as sens -import pyvale.blender as blender -import pyvale.dataset as dataset - -# %% -# Firstly, a save path must be set. -# In order to do this a base path must be set. Then all the generated files will -# be saved to a subfolder within this specified base directory -# (e.g. blenderimages). -# If no base directory is specified, it will be set as your home directory. - -base_dir = Path.cwd() / "pyvale-output" / "blender-calib" -if not base_dir.is_dir(): - base_dir.mkdir(parents=True, exist_ok=True) - - - -# %% -# Creating the scene -# ^^^^^^^^^^^^^^^^^^ -# In order to create a DIC setup in Blender, first a scene must be created. -# A scene is initialised using the `BlenderScene` class. All the subsequent -# objects and actions necessary are then methods of this class. -scene = blender.Scene() - -# %% -# The next thing to add to the scene is the calibration target. -# This is done by specifing the size of calibration target to add to the scene -# by passing in an array of (width, height, depth). -# The calibration target being simulated here is 12 x 9 with 10 mm spacing. - -target = scene.add_cal_target(target_size=np.array([150, 100, 10])) - -# %% -# The cameras can then be initialised. A stereo camera system is defined by a -# `CameraStereo` object, which contains the intrinsic parameters of both cameras -# as well as the extrinsic parameters between them. -# There are two ways to initialise a `CameraStereo` object. -# One way is to specify the camera parameters separately for each camera, create -# a `CameraStereo` object, and then add the stereo system using the -# `add_stereo_system` method. -# The other method is to use a convenience function, as shown below. -# This requires you to first initialise one camera. Then you can choose between -# either a face-on or symmetric stereo system. Then, either of the -# `symmetric_stereo_cameras` or `faceon_stereo_cameras` functions can be used to -# initialise a `CameraStereo` object. The only input required to these functions -# are the camera parameters for the first camera, and the desired stereo angle -# between the two. The cameras can then be added to the Blender scene using the -# `add_stereo_system` method. -cam_data_0 = sens.CameraData(pixels_num=np.array([1540, 1040]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=np.array([0, 0, 400]), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15.0) -# Set this to "symmetric" to get a symmetric stereo system or set this to -# "faceon" to get a face-on stereo system -stereo_setup = "faceon" -if stereo_setup == "symmetric": - stereo_system = sens.CameraTools.symmetric_stereo_cameras( - cam_data_0=cam_data_0, - stereo_angle=15.0) -elif stereo_setup == "faceon": - stereo_system = sens.CameraTools.faceon_stereo_cameras( - cam_data_0=cam_data_0, - stereo_angle=15.0) -else: - raise ValueError(f"Unknown stereo_setup: {stereo_setup}") - -scene.add_stereo_system(stereo_system) - -# %% -# Since this scene contains a stereo DIC system, a calibration file will be -# required to run the images through a DIC engine. -# A calibration file can be generated directly from the `CameraStereo` object. -# The calibration file will be saved in `YAML` format. However, if you wish to -# use MatchID to process the images, `save_calibration_mid` can be used instead -# to save the calibration in a format readable by MatchID. -# The calibration file will be saved to a sub-directory of the base directory -# called "calibration". -# This calibration file with "perfect" parameters can be used as a comparitive -# benchmark to the calibration gained from running the calibration files through -# a DIC engine. -stereo_system.save_calibration(base_dir) - -# %% -# A light can the be added to the scene. -# Blender offers different light types: Point, Sun, Spot and Area. -# The light can also be moved and rotated like the camera. - -light_data = blender.LightData(type=blender.LightType.POINT, - pos_world=(0, 0, 200), - rot_world=Rotation.from_euler("xyz", - [0, 0, 0]), - energy=1) -light = scene.add_light(light_data) -light.location = (0, 0, 210) -light.rotation_euler = (0, 0, 0) # NOTE: The default is an XYZ Euler angle - -# %% -# The calibration target pattern can then be added to the calibration target -# object. -# This is added in the same way that a speckle pattern is added to a sample. -# However, it is important to set the `cal` flag to True, as this means that the -# calibration target pattern will not be scaled in the same way as a speckle -# pattern. - -material_data = blender.MaterialData() -cal_target = dataset.cal_target() -mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data_0) -scene.add_speckle(part=target, - speckle_path=cal_target, - mat_data=material_data, - mm_px_resolution=mm_px_resolution, - cal=True) - -# %% -# Rendering a set of images -# ^^^^^^^^^^^^^^^^^^^^^^^^^ -# Once all the objects have been added to the scene, a set of images can be -# rendered.Firstly, all the rendering parameters must be set, including -# parameters such as the number of threads to use. - -render_data = blender.RenderData(cam_data=(stereo_system.cam_data_0, - stereo_system.cam_data_1), - base_dir=base_dir, - dir_name="blender-stereo-cal") - -# %% -# The parameters for the calibration target's movement can then be set. This is -# done by setting the minimum and maximum angle and plunge limits, as well as -# the step value that they should be increased by. The x and y limit of the -# calibration target's movement (from the origin) can also be set if you wish to -# perform a calibration for a constrained optical setup. If these limits are not -# passed in they will be initialised from the FOV to cover the whole FOV of the -# cameras. - -calibration_data = blender.CalibrationData(angle_lims=(-10, 10), - angle_step=20, - plunge_lims=(-5, 5), - plunge_step=10) - -# %% -# It is then possible to check the number of calibration images that will be -# rendered before rendering them. The only input that is needed is the -# `calibration_data` specified above. - -number_calibration_images = blender.Tools.number_calibration_images(calibration_data) -print("Number of calibration images to be rendered:", number_calibration_images) - -# %% -# The calibration images can then be rendered. This function will move the -# calibration target according to movement limits set above, and will also move -# the target rigidly across the FOV of the camera, in order to characterise the -# entire FOV of the cameras. -blender.Tools.render_calibration_images(render_data, - calibration_data, - target) - -# %% -# The rendered images will be saved to this filepath: - -print("Save directory of the images:", (render_data.base_dir / render_data.dir_name)) - -# %% -# There is also the option to save the scene as a Blender project file. -# This file can be opened with the Blender GUI to view the scene. - -blender.Tools.save_blender_file(base_dir=base_dir,over_write=True) diff --git a/src/pyvale/examples/dic/ex01_region_of_interest.py b/src/pyvale/examples/dic/ex01_region_of_interest.py index f6a1933f9..94dd05c6b 100644 --- a/src/pyvale/examples/dic/ex01_region_of_interest.py +++ b/src/pyvale/examples/dic/ex01_region_of_interest.py @@ -17,14 +17,14 @@ from pathlib import Path # pyvale modules -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.dic as dic # %% # We'll begin by selecting our Region of Interest (ROI) using the interactive selection tool. # First, we create an instance of the ROI class. We pass a reference image to it, which is # displayed as the underlay during ROI selection. -ref_img = dataset.dic_plate_with_hole_ref() +ref_img = dataset.dic_plate_with_hole_cam0_ref() roi = dic.RegionOfInterest(ref_image=ref_img) roi.interactive_selection() @@ -98,4 +98,3 @@ # From there, you can manipulate `roi.mask` as you would any other 2D NumPy array. - diff --git a/src/pyvale/examples/dic/ex02_plate_with_hole.py b/src/pyvale/examples/dic/ex02_plate_with_hole.py index d3d086190..bdcf33a26 100644 --- a/src/pyvale/examples/dic/ex02_plate_with_hole.py +++ b/src/pyvale/examples/dic/ex02_plate_with_hole.py @@ -18,7 +18,7 @@ from pathlib import Path # pyvale modules -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.dic as dic # %% diff --git a/src/pyvale/examples/dic/ex03_plate_with_hole_strain.py b/src/pyvale/examples/dic/ex03_plate_with_hole_strain.py index 49f92c6bb..9928c8aed 100644 --- a/src/pyvale/examples/dic/ex03_plate_with_hole_strain.py +++ b/src/pyvale/examples/dic/ex03_plate_with_hole_strain.py @@ -69,10 +69,18 @@ axes = axes.flatten() fig.suptitle('Deformation Gradient for ' + straindata.filenames[0]) -im1 = axes[0].pcolor(straindata.window_x, straindata.window_y, straindata.def_xx[1]) -im2 = axes[1].pcolor(straindata.window_x, straindata.window_y, straindata.def_xy[1]) -im3 = axes[2].pcolor(straindata.window_x, straindata.window_y, straindata.def_yx[1]) -im4 = axes[3].pcolor(straindata.window_x, straindata.window_y, straindata.def_yy[1]) +im1 = axes[0].pcolor( + straindata.window_x, straindata.window_y, straindata.def_00[1], +) +im2 = axes[1].pcolor( + straindata.window_x, straindata.window_y, straindata.def_01[1], +) +im3 = axes[2].pcolor( + straindata.window_x, straindata.window_y, straindata.def_10[1], +) +im4 = axes[3].pcolor( + straindata.window_x, straindata.window_y, straindata.def_11[1], +) # titles axes[0].set_title('deformation gradient xx') diff --git a/src/pyvale/examples/dic/ex04_dic_blender.py b/src/pyvale/examples/dic/ex04_dic_blender.py deleted file mode 100644 index 4dfecee67..000000000 --- a/src/pyvale/examples/dic/ex04_dic_blender.py +++ /dev/null @@ -1,97 +0,0 @@ -#================================================================================ -#Example: DIC with images generated by blender -# -#pyvale: the python validation engine -#License: MIT -#Copyright (C) 2024 The Computer Aided Validation Team -#================================================================================ - -""" -DIC with images generated from a virtual blender experiment ------------------------------------------------------------- - -This example looks at taking the virtual experiments conducted using the blender -module and taking it one step further and performing a DIC calculation on the -simulated data. For this to work, you'll need to complete the `2D image -deformation example `_ using the blender module first. - -**We'd recommend downloading both examples (links can be -found at the bottom of each example) and placing them within the same folder on -your device. That way the relative file paths below will not need to be -changed.** -""" - -import matplotlib.pyplot as plt -from pathlib import Path -import numpy as np -import os - -# pyvale imports -import pyvale.dic as dic - -#subset size -subset_size = 21 - -# rename the reference image so that that we can distinguish between reference -# and deformed images -if os.path.exists("./blenderimages/blenderimage_0.tiff"): - os.rename("./blenderimages/blenderimage_0.tiff", - "./blenderimages/reference.tiff") - -ref_img = "./blenderimages/reference.tiff" -def_img = "./blenderimages/blenderimage_*.tiff" - -# Interactive ROI selection -roi = dic.RegionOfInterest(ref_img) -roi.interactive_selection() - -#output_path -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -# DIC Calculation -dic.calculate_2d(reference=ref_img, - deformed=def_img, - roi_mask=roi.mask, - seed=roi.seed, - subset_size=subset_size, - subset_step=10, - shape_function="AFFINE", - max_displacement=20, - correlation_criteria="ZNSSD", - output_basepath=output_path, - output_prefix="blender_dic_") - -# Import the Results -data_path = output_path / "blender_dic_*.csv" -dicdata = dic.import_2d(data=data_path, delimiter=",", - layout='matrix', binary=False) - -# %% -# As an example we can plot the v-component of displacement for each of the -# eight deformation images - -# Setup plot -fig, axes = plt.subplots(2, 4, figsize=(15, 5)) -axes = axes.flatten() - -# Compute global min and max for consistent color scaling -vmin = np.nanmin(dicdata.v) -vmax = np.nanmax(dicdata.v) -print(vmin,vmax) - -# loop over images and add to subplots -for i in range(len(dicdata.filenames)): - im = axes[i].pcolor(dicdata.ss_x, dicdata.ss_y, dicdata.v[i], vmin=vmin, vmax=vmax) - axes[i].set_title(dicdata.filenames[i]) - fig.colorbar(im, ax=axes[i]) - -plt.tight_layout() -plt.show() - -# %% -# .. image:: ../../../../_static/dic_blender_plot.png -# :alt: DIC Comparison with ground truth -# :width: 800px -# :align: center diff --git a/src/pyvale/examples/dic/ex04_render_to_dic.py b/src/pyvale/examples/dic/ex04_render_to_dic.py new file mode 100644 index 000000000..8ee405b23 --- /dev/null +++ b/src/pyvale/examples/dic/ex04_render_to_dic.py @@ -0,0 +1,313 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Render a known displacement and recover it with DIC +================================================================================ + +This example joins the pyvale render and digital image correlation workflows. +We render a speckled calibration plate in its reference position, translate it +by half a pixel in both image directions, and recover the known displacement +using two dimensional DIC. +""" + +from pathlib import Path + +import matplotlib.pyplot as plt +import numpy as np +import riley +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +import pyvale.dic as dic +from pyvale import render + + +SUBSET_SIZE = 21 +SPECKLE_SIZE_PX = 5.0 +TARGET_DISPLACEMENT_PX = 1.0 +ROI_SAFETY_PX = 10 + +# %% +# 1. Load the three dimensional calibration plate +# ------------------------------------------------------------ +# The calibration plate used by the Render UV examples is a rectangular target +# with front, back, and side faces. A face on camera gives it a rectangular +# image footprint, which lets us define a reproducible ROI without user input. +data_dir = dataset.riley_stereocal_case_path() +simulation = io.MeshLoader( + load_dir=data_dir, + coords_file="coords.csv", + connect_files="connect.csv", + load_opts=io.SimLoadOpts(coord_header=None), +).load_mesh() + +mesh = render.mesh3d_from_simdata(simulation, shader=None) + +# %% +# 2. Create and position the face on camera +# ------------------------------------------------------------ +# The sensor has a 1.6 aspect ratio and uses four samples along each pixel axis +# to keep the target edges smooth. A ten percent border leaves room for the DIC +# subsets and makes the target boundary easy to identify. +camera = render.Camera( + pixels_num=np.array((1024, 640)), + pixels_size=np.array((5.5e-6, 5.5e-6)), + pos_world=np.zeros(3), + rot_world=Rotation.identity(), + roi_cent_world=render.mesh_center(mesh), + focal_length=50.0e-3, + subsample=4, +) + +camera = render.cam_frame_mesh( + camera, + mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.90), +) + +# %% +# 3. Scale the five pixel speckle pattern to the camera +# ------------------------------------------------------------ +# The standard 5 MPx DIC texture has a nominal speckle size of five texture +# pixels. We request the same five pixel feature size in the rendered image. +# A 21 pixel DIC subset therefore spans about four speckles. + +texture = render.image_load(dataset.dic_pattern_5mpx_path()) +image_leng_per_px = render.cam_calc_leng_per_px(camera) + +texture_px_per_leng = render.uv_calc_texture_px_per_leng_from_image( + texture_px_per_feature=SPECKLE_SIZE_PX, + image_px_per_feature=SPECKLE_SIZE_PX, + image_leng_per_px=image_leng_per_px, +) + +mapping = render.uv_map_planar_scaled( + mesh.coords, + texture, + texture_px_per_leng, + plane=render.EUVPlane.XY, +) + +mesh.shader = render.RileyTextureShader( + uvs=mapping.uvs, + texture=mapping.texture, +) + +# %% +# 4. Apply a known half pixel rigid displacement +# ------------------------------------------------------------ +# The requested image motion is half a pixel right and half a pixel down. Image +# rows increase downward while camera V and world Y increase upward, so the +# downward image motion requires a negative world Y displacement. The camera +# image scale converts the half pixel motion into simulation length units. + +displacement_leng = TARGET_DISPLACEMENT_PX * image_leng_per_px +mesh.displacements = np.zeros((2, mesh.coords.shape[0], 3)) +mesh.displacements[1, :, 0] = displacement_leng +mesh.displacements[1, :, 1] = -displacement_leng + +projected_reference = render.cam_project_points(camera, mesh.coords) +projected_deformed = render.cam_project_points( + camera, + mesh.coords + mesh.displacements[1], +) + +projected_shift = np.mean(projected_deformed - projected_reference, axis=0) + +np.testing.assert_allclose( + projected_shift, + np.array((TARGET_DISPLACEMENT_PX, -TARGET_DISPLACEMENT_PX)), + atol=0.01, +) + +# %% +# 5. Render the reference and deformed images with Riley +# ------------------------------------------------------------ +output_dir = Path.cwd() / "pyvale-output" / "dic_ex04_render_to_dic" +render_dir = output_dir / "render" + +config = riley.create_raster_config( + num_frames=2, + total_threads=4, + save_strategy=riley.SaveStrategy.both, +) +config.background_value = 128.0 +config.save_scaling = riley.ScaleStrategy.none + +result = render.Riley(config, render_dir).render( + render.Scene3D(meshes=[mesh], cameras=[camera]) +) +assert result.images is not None + +reference = result.images[0, 0, :, :, 0] +deformed = result.images[1, 0, :, :, 0] + +# %% +# 6. Program a rectangular region of interest +# ------------------------------------------------------------ +# Projecting the target corners gives its image bounds. We move inward by half +# the subset width plus a safety margin so every complete subset remains on the +# speckled target in both frames. + +subset_radius = SUBSET_SIZE // 2 +roi_inset = subset_radius + ROI_SAFETY_PX +target_min = np.floor(np.min(projected_reference, axis=0)).astype(int) +target_max = np.ceil(np.max(projected_reference, axis=0)).astype(int) + +roi_left = target_min[0] + roi_inset +roi_right = target_max[0] - roi_inset +roi_top = target_min[1] + roi_inset +roi_bottom = target_max[1] - roi_inset + +roi = dic.RegionOfInterest(reference) + +roi.rect_region( + x=roi_left, + y=roi_top, + size_x=roi_right - roi_left, + size_y=roi_bottom - roi_top, +) + +roi.seed = [ + (roi_left + roi_right) // 2, + (roi_top + roi_bottom) // 2, +] + +assert np.all(roi.mask[roi_top:roi_bottom, roi_left:roi_right]) +assert not np.any(roi.mask[:roi_top, :]) +assert not np.any(roi.mask[roi_bottom:, :]) +assert not np.any(roi.mask[:, :roi_left]) +assert not np.any(roi.mask[:, roi_right:]) + +# To choose the ROI interactively, comment out the programmed ROI above and +# uncomment the following lines. +# roi = dic.RegionOfInterest(reference) +# roi.interactive_selection() + +# %% +# 7. Calculate and import the DIC displacement +# ------------------------------------------------------------ +dic_dir = output_dir / "dic" +dic_dir.mkdir(parents=True, exist_ok=True) + +dic.calculate_2d( + reference=reference, + deformed=deformed, + roi_mask=roi.mask, + seed=roi.seed, + subset_size=SUBSET_SIZE, + subset_step=1, + shape_function="AFFINE", + correlation_criteria="ZNSSD", + max_displacement=4, + num_threads=4, + output_basepath=dic_dir, + output_prefix="render_to_dic_", + debug_level=0, +) + +dic_results = dic.import_2d( + data=dic_dir / "render_to_dic_*.csv", + delimiter=",", + layout="matrix", + binary=False, + debug_level=0, +) + +valid = np.asarray(dic_results.converged[0], dtype=bool) +valid &= np.isfinite(dic_results.u_px[0]) +valid &= np.isfinite(dic_results.v_px[0]) +assert np.all(valid) + +u_values = dic_results.u_px[0][valid] +v_values = dic_results.v_px[0][valid] +u_error = u_values - TARGET_DISPLACEMENT_PX +v_error = v_values - TARGET_DISPLACEMENT_PX + +np.testing.assert_allclose( + u_values, + TARGET_DISPLACEMENT_PX, + atol=0.05, +) +np.testing.assert_allclose( + v_values, + TARGET_DISPLACEMENT_PX, + atol=0.05, +) + +print( + f"ROI subsets={u_values.size}, " + f"mean displacement=({np.mean(u_values):.4f}, " + f"{np.mean(v_values):.4f}) px, " + f"maximum error=({np.max(np.abs(u_error)):.4f}, " + f"{np.max(np.abs(v_error)):.4f}) px" +) + +# %% +# 8. Plot the render, ROI, displacement, and error +# ------------------------------------------------------------ +figure, axes = plt.subplots(2, 3, figsize=(13, 7), constrained_layout=True) + +axes[0, 0].imshow(reference, cmap="gray") +axes[0, 0].set_title("Reference render") +axes[0, 1].imshow(deformed, cmap="gray") +axes[0, 1].set_title("Deformed render") +axes[0, 2].imshow(reference, cmap="gray") +axes[0, 2].imshow(roi.mask, cmap="Greens", alpha=0.25) +axes[0, 2].plot(roi.seed[0], roi.seed[1], "r+", markersize=10) +axes[0, 2].set_title("Programmed ROI and seed") + +u_plot = axes[1, 0].pcolormesh( + dic_results.ss_x, + dic_results.ss_y, + dic_results.u_px[0], + shading="auto", +) +axes[1, 0].set_title("Measured U displacement [px]") +figure.colorbar(u_plot, ax=axes[1, 0]) + +v_plot = axes[1, 1].pcolormesh( + dic_results.ss_x, + dic_results.ss_y, + dic_results.v_px[0], + shading="auto", +) +axes[1, 1].set_title("Measured V displacement [px]") +figure.colorbar(v_plot, ax=axes[1, 1]) + +error_magnitude = np.hypot( + dic_results.u_px[0] - TARGET_DISPLACEMENT_PX, + dic_results.v_px[0] - TARGET_DISPLACEMENT_PX, +) +error_plot = axes[1, 2].pcolormesh( + dic_results.ss_x, + dic_results.ss_y, + error_magnitude, + shading="auto", +) +axes[1, 2].set_title("Displacement error [px]") +figure.colorbar(error_plot, ax=axes[1, 2]) + +for axis in axes.flat: + axis.set_aspect("equal") + axis.set_xlabel("Image U [px]") + axis.set_ylabel("Image V [px]") + +figure_path = output_dir / "dic_ex04_render_to_dic.png" +figure.savefig(figure_path, dpi=150) +plt.close(figure) +print(f"Render and DIC outputs written to {output_dir}") + +# %% +# The top row shows the rendered image pair and the programmed rectangular ROI. +# The bottom row shows the recovered U and V displacement fields and their +# error relative to the analytic half pixel translation. +# +# .. image:: ../../../../_static/dic_ex04_render_to_dic.png +# :alt: Riley renders, programmed ROI, and recovered DIC displacement +# :width: 1000px +# :align: center diff --git a/src/pyvale/examples/dic/ex05_dic_challenge.py b/src/pyvale/examples/dic/ex05_dic_challenge.py index fb301a59c..c665d3831 100644 --- a/src/pyvale/examples/dic/ex05_dic_challenge.py +++ b/src/pyvale/examples/dic/ex05_dic_challenge.py @@ -27,7 +27,7 @@ from pathlib import Path # pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.dic as dic @@ -96,7 +96,7 @@ plt.ylabel("Displacement [px]") plt.grid(True) plt.axhline(y=0.5, color='red', linestyle='--', linewidth=4) -plt.plot(dicdata.ss_x, dicdata.v[0,:]) +plt.plot(dicdata.ss_x[0], dicdata.v_px[0, 0]) plt.tight_layout() plt.show() diff --git a/src/pyvale/examples/dic/ex07_incremental.py b/src/pyvale/examples/dic/ex07_incremental.py index 017cbd551..9b36e4bf6 100644 --- a/src/pyvale/examples/dic/ex07_incremental.py +++ b/src/pyvale/examples/dic/ex07_incremental.py @@ -37,12 +37,12 @@ import numpy as np # pyvale modules -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.dic as dic subset_size = 31 -ref_img = dataset.dic_plate_rigid_ref() -def_img = dataset.dic_plate_rigid_def() +ref_img = dataset.dic_plate_rigid_cam0_ref() +def_img = dataset.dic_plate_rigid_cam0_def() # create a directory for the the different outputs output_path = Path.cwd() / "pyvale-output" / "incremental" @@ -88,4 +88,3 @@ output_delimiter=",", output_prefix="results_inc_") - diff --git a/src/pyvale/examples/dic/ex08_calibration.py b/src/pyvale/examples/dic/ex08_calibration.py index 228cf9a80..90348f2d7 100644 --- a/src/pyvale/examples/dic/ex08_calibration.py +++ b/src/pyvale/examples/dic/ex08_calibration.py @@ -7,22 +7,21 @@ #================================================================================ """ Stereo Calibration + DIC ---------------------- +------------------------ This example detects a calibration-dot target in synchronised stereo images and uses the detected correspondences to calibrate the two cameras. -**The required calibration images are not distributed with the package to keep things lightweight. -** -`here `_. +The required calibration images are not distributed with the package to keep +things lightweight. You can download them `here `_. **Make sure to download/clone the repository and unzip the calibration images. For this example we'll assume you've cloned the images to your current working directory.** -Currently, the DIC module in pyvale only supports the below type of calibration targets (If there's -a specific type of calibration target you would like adding then please get in touch -and we'll see what we can do). +Currently, the DIC module in pyvale only supports the below type of calibration +targets (If there's a specific type of calibration target you would like adding +then please get in touch and we'll see what we can do). """ # %% diff --git a/src/pyvale/examples/dic/ex09_stereo.py b/src/pyvale/examples/dic/ex09_stereo.py index 326c2885b..4fd19996f 100644 --- a/src/pyvale/examples/dic/ex09_stereo.py +++ b/src/pyvale/examples/dic/ex09_stereo.py @@ -7,10 +7,11 @@ #================================================================================ """ Stereo DIC rigid body motion of a plate ---------------------- +--------------------------------------- This example demonstrates how to perform stereo DIC using pyvale. The example -uses synthetic images generated using `Riley `_ +uses synthetic images generated using +`Riley `_ from a known calibration and deformation field. The calibration parameters are loaded from a text file, and the DIC calculation is performed on the reference and deformed images. @@ -23,7 +24,7 @@ import pyvale.dic as dic import pyvale.calib as calib -import pyvale.dataset as dataset +import pyvale.data as dataset # %% # Load in the ground truth calibration parameters. These are the parameters diff --git a/src/pyvale/examples/dic/ex10_stereo_platehole.py b/src/pyvale/examples/dic/ex10_stereo_platehole.py index 2a061aa46..1784765fa 100644 --- a/src/pyvale/examples/dic/ex10_stereo_platehole.py +++ b/src/pyvale/examples/dic/ex10_stereo_platehole.py @@ -8,10 +8,11 @@ #================================================================================ """ Stereo DIC and strain calculation of a plate with a hole ---------------------- +-------------------------------------------------------- This example demonstrates how to perform stereo DIC using pyvale. The example -uses synthetic images generated using `Riley `_ +uses synthetic images generated using +`Riley `_ from a known calibration and deformation field. The calibration parameters are loaded from a text file, and the DIC calculation is performed on the reference and deformed images. @@ -24,7 +25,7 @@ import pyvale.dic as dic import pyvale.calib as calib import pyvale.strain as strain -import pyvale.dataset as dataset +import pyvale.data as dataset # %% # We can use the same calibration parameters as before: diff --git a/src/pyvale/examples/dic/ex11_dic_chal.py b/src/pyvale/examples/dic/ex11_dic_chal.py index a55eed9e9..9393ba88b 100644 --- a/src/pyvale/examples/dic/ex11_dic_chal.py +++ b/src/pyvale/examples/dic/ex11_dic_chal.py @@ -8,7 +8,7 @@ #================================================================================ """ Stereo Reconstruction from the DIC Challenge 1.0 ---------------------- +------------------------------------------------ For this exampe we'll reconstruct the bespoke sample used in the first iteration of the `Stereo DIC challenge `_. @@ -27,7 +27,7 @@ import pyvale.dic as dic import pyvale.calib as calib import pyvale.strain as strain -import pyvale.dataset as dataset +import pyvale.data as dataset # %% # Import the calibration parameters: diff --git a/src/pyvale/examples/extsensorsim/ex1_byosimdata.py b/src/pyvale/examples/extsensorsim/ex1_byosimdata.py index 8b109b7aa..3cd58c7db 100644 --- a/src/pyvale/examples/extsensorsim/ex1_byosimdata.py +++ b/src/pyvale/examples/extsensorsim/ex1_byosimdata.py @@ -25,7 +25,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% diff --git a/src/pyvale/examples/extsensorsim/ex3a_scal2d.py b/src/pyvale/examples/extsensorsim/ex3a_scal2d.py index 3546af921..5342c7497 100644 --- a/src/pyvale/examples/extsensorsim/ex3a_scal2d.py +++ b/src/pyvale/examples/extsensorsim/ex3a_scal2d.py @@ -26,7 +26,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/extsensorsim/ex3b_scal3d.py b/src/pyvale/examples/extsensorsim/ex3b_scal3d.py index 8e42f883f..657859620 100644 --- a/src/pyvale/examples/extsensorsim/ex3b_scal3d.py +++ b/src/pyvale/examples/extsensorsim/ex3b_scal3d.py @@ -26,7 +26,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% diff --git a/src/pyvale/examples/extsensorsim/ex3c_vec2d.py b/src/pyvale/examples/extsensorsim/ex3c_vec2d.py index e4c4533d2..ee85284df 100644 --- a/src/pyvale/examples/extsensorsim/ex3c_vec2d.py +++ b/src/pyvale/examples/extsensorsim/ex3c_vec2d.py @@ -26,7 +26,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/extsensorsim/ex3d_vec3d.py b/src/pyvale/examples/extsensorsim/ex3d_vec3d.py index 9ed247224..92ad2204a 100644 --- a/src/pyvale/examples/extsensorsim/ex3d_vec3d.py +++ b/src/pyvale/examples/extsensorsim/ex3d_vec3d.py @@ -25,7 +25,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/extsensorsim/ex3e_tens2d.py b/src/pyvale/examples/extsensorsim/ex3e_tens2d.py index 353e5eecf..2461dc45b 100644 --- a/src/pyvale/examples/extsensorsim/ex3e_tens2d.py +++ b/src/pyvale/examples/extsensorsim/ex3e_tens2d.py @@ -26,7 +26,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% diff --git a/src/pyvale/examples/extsensorsim/ex3f_tens3d.py b/src/pyvale/examples/extsensorsim/ex3f_tens3d.py index a470ee7dc..eba604dba 100644 --- a/src/pyvale/examples/extsensorsim/ex3f_tens3d.py +++ b/src/pyvale/examples/extsensorsim/ex3f_tens3d.py @@ -26,7 +26,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/extsensorsim/ex4a_basicerrs_scal2d.py b/src/pyvale/examples/extsensorsim/ex4a_basicerrs_scal2d.py index 5087750ae..147603b66 100644 --- a/src/pyvale/examples/extsensorsim/ex4a_basicerrs_scal2d.py +++ b/src/pyvale/examples/extsensorsim/ex4a_basicerrs_scal2d.py @@ -53,7 +53,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/extsensorsim/ex4b_fielderrs_scal3d.py b/src/pyvale/examples/extsensorsim/ex4b_fielderrs_scal3d.py index a1bbb1ff1..3e49f05e2 100644 --- a/src/pyvale/examples/extsensorsim/ex4b_fielderrs_scal3d.py +++ b/src/pyvale/examples/extsensorsim/ex4b_fielderrs_scal3d.py @@ -25,7 +25,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/extsensorsim/ex4c_angleerrs_vec2d.py b/src/pyvale/examples/extsensorsim/ex4c_angleerrs_vec2d.py index 658ef37c1..dc8ae6ee9 100644 --- a/src/pyvale/examples/extsensorsim/ex4c_angleerrs_vec2d.py +++ b/src/pyvale/examples/extsensorsim/ex4c_angleerrs_vec2d.py @@ -24,7 +24,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% diff --git a/src/pyvale/examples/extsensorsim/ex4d_fieldlockerrs_vec3d.py b/src/pyvale/examples/extsensorsim/ex4d_fieldlockerrs_vec3d.py index 3ea8be931..d48adda66 100644 --- a/src/pyvale/examples/extsensorsim/ex4d_fieldlockerrs_vec3d.py +++ b/src/pyvale/examples/extsensorsim/ex4d_fieldlockerrs_vec3d.py @@ -23,7 +23,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/extsensorsim/ex4e_chainfielderrs_vec2d.py b/src/pyvale/examples/extsensorsim/ex4e_chainfielderrs_vec2d.py index ce883f6eb..c097971b7 100644 --- a/src/pyvale/examples/extsensorsim/ex4e_chainfielderrs_vec2d.py +++ b/src/pyvale/examples/extsensorsim/ex4e_chainfielderrs_vec2d.py @@ -29,7 +29,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% diff --git a/src/pyvale/examples/extsensorsim/ex4f_caliberrs_scal2d.py b/src/pyvale/examples/extsensorsim/ex4f_caliberrs_scal2d.py index fa6aaf412..0e5f2d927 100644 --- a/src/pyvale/examples/extsensorsim/ex4f_caliberrs_scal2d.py +++ b/src/pyvale/examples/extsensorsim/ex4f_caliberrs_scal2d.py @@ -20,7 +20,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% diff --git a/src/pyvale/examples/extsensorsim/ex4g_spatavgerrs_scal2d.py b/src/pyvale/examples/extsensorsim/ex4g_spatavgerrs_scal2d.py index f75d84b59..6fd997e0c 100644 --- a/src/pyvale/examples/extsensorsim/ex4g_spatavgerrs_scal2d.py +++ b/src/pyvale/examples/extsensorsim/ex4g_spatavgerrs_scal2d.py @@ -20,7 +20,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/extsensorsim/ex5a_expsim_thermmech2d.py b/src/pyvale/examples/extsensorsim/ex5a_expsim_thermmech2d.py index 4d5775a61..044994db4 100644 --- a/src/pyvale/examples/extsensorsim/ex5a_expsim_thermmech2d.py +++ b/src/pyvale/examples/extsensorsim/ex5a_expsim_thermmech2d.py @@ -30,7 +30,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/extsensorsim/ex5b_expsim_thermmech3d.py b/src/pyvale/examples/extsensorsim/ex5b_expsim_thermmech3d.py index 0f64a8b6f..ddaa78d25 100644 --- a/src/pyvale/examples/extsensorsim/ex5b_expsim_thermmech3d.py +++ b/src/pyvale/examples/extsensorsim/ex5b_expsim_thermmech3d.py @@ -25,7 +25,7 @@ import pyvale.sensorsim as sens import pyvale.dataio as io import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% # 1. Load physics simulation data diff --git a/src/pyvale/examples/imagedef2d/ex_imagedef2d_todisk.py b/src/pyvale/examples/imagedef2d/ex_imagedef2d_todisk.py deleted file mode 100644 index 9d7e8d09f..000000000 --- a/src/pyvale/examples/imagedef2d/ex_imagedef2d_todisk.py +++ /dev/null @@ -1,84 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - - -from pathlib import Path -import numpy as np - -# Pyvale Imports -import pyvale.sensorsim as sens -import pyvale.mooseherder as mh -import pyvale.dataset as dataset - - -def main() -> None: - sim_path = dataset.mechanical_2d_path() - sim_data = mh.ExodusLoader(sim_path).load_all_sim_data() - - image_path = dataset.dic_pattern_5mpx_path() - image_speckle = sens.ImageTools.load_image_greyscale(image_path) - - save_path = Path.cwd()/"pyvale-output" - if not save_path.is_dir(): - save_path.mkdir(parents=True, exist_ok=True) - - coords = sim_data.coords - connectivity = (sim_data.connect["connect1"]-1).T # Beware 0 indexing here - disp_x = sim_data.node_vars["disp_x"][:,:] - disp_y = sim_data.node_vars["disp_y"][:,:] - - print() - print(80*"-") - print(f"{coords.shape=}") - print(f"{connectivity.shape=}") - print(f"{disp_x.shape=}") - print(f"{disp_y.shape=}") - print(80*"-") - - - cam_data = sens.CameraData2D(pixels_count=np.array((1040,1540)), - leng_per_px=0.1e-3, - bits=8, - roi_cent_world=np.mean(coords,axis=0), - subsample=3) - id_opts = sens.ImageDefOpts(save_path=save_path, - crop_on=True, - add_static_ref=True) - - - - (upsampled_image, - image_mask, - image_input, - disp_x, - disp_y) = sens.ImageDef2D.preprocess(cam_data, - image_speckle, - coords, - connectivity, - disp_x, - disp_y, - id_opts, - print_on=True) - - ff = -1 - disp = np.array((disp_x[:,ff],disp_y[:,ff])).T - print(f"{disp.shape=}") - - - sens.ImageDef2D.deform_images_to_disk(cam_data, - upsampled_image, - coords, - connectivity, - disp_x, - disp_y, - image_mask, - id_opts, - print_on=True) - - -if __name__ == "__main__": - main() - diff --git a/src/pyvale/examples/mooseherder/ex1a_modify_moose_input.py b/src/pyvale/examples/mooseherder/ex1a_modify_moose_input.py index 3e2081a2b..9eb0c663c 100644 --- a/src/pyvale/examples/mooseherder/ex1a_modify_moose_input.py +++ b/src/pyvale/examples/mooseherder/ex1a_modify_moose_input.py @@ -17,7 +17,7 @@ from pathlib import Path # pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import InputModifier #%% diff --git a/src/pyvale/examples/mooseherder/ex1b_modify_gmsh_input.py b/src/pyvale/examples/mooseherder/ex1b_modify_gmsh_input.py index b8d54c3aa..3eed07d94 100644 --- a/src/pyvale/examples/mooseherder/ex1b_modify_gmsh_input.py +++ b/src/pyvale/examples/mooseherder/ex1b_modify_gmsh_input.py @@ -17,7 +17,7 @@ from pathlib import Path # pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import InputModifier #%% diff --git a/src/pyvale/examples/mooseherder/ex2a_run_moose_once.py b/src/pyvale/examples/mooseherder/ex2a_run_moose_once.py index 91fea74cc..d53dd9675 100644 --- a/src/pyvale/examples/mooseherder/ex2a_run_moose_once.py +++ b/src/pyvale/examples/mooseherder/ex2a_run_moose_once.py @@ -26,55 +26,70 @@ from pathlib import Path #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import (MooseConfig, MooseRunner) -#%% -# First we build our moose configuration which gives the location of our main -# moose build, our moose app and the name of the app to use when called on the -# command line. -config = {'main_path': Path.home()/ 'moose', - 'app_path': Path.home() / 'proteus', - 'app_name': 'proteus-opt'} -moose_config = MooseConfig(config) - -#%% -# We can now build a runner object using our configuration. We can then set some -# options for the run including parallelisation and if we should redirect -# terminal output to file. For smaller simulations we are better off using -# threads for paralleisation as they reduce overhead compared to MPI tasks. -moose_runner = MooseRunner(moose_config) - -moose_runner.set_run_opts(n_tasks = 1, - n_threads = 8, - redirect_out = False) - -#%% -# Let's grab a simple thermo-mechanical cube test case from pyvale's moose -# simulation library and we will set this as the input file to run with our -# 'runner'. -moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) -moose_runner.set_input_file(moose_input) - -#%% -# Our moose runner will pass a list of strings which form the command line to -# run our moose simulation. We print the list of command line arguments here so -# we can check we are correctly calling our input file with the run options we -# want. -print(moose_runner.get_arg_list()) -print() - -#%% -# To run our moose simulation we just need to call 'run', here we will time our -# moose run and then print the solve time to the terminal -start_time = time.perf_counter() -moose_runner.run() -run_time = time.perf_counter() - start_time - -print() -print("-"*80) -print(f'MOOSE run time = {run_time:.3f} seconds') -print("-"*80) -print() +def main() -> None: + + + #%% + # First we build our moose configuration which gives the location of our main + # moose build, our moose app and the name of the app to use when called on the + # command line. + config = {'main_path': Path.home()/ 'moose', + 'app_path': Path.home() / 'proteus', + 'app_name': 'proteus-opt'} + moose_config = MooseConfig(config) + + #%% + # We can now build a runner object using our configuration. We can then set some + # options for the run including parallelisation and if we should redirect + # terminal output to file. For smaller simulations we are better off using + # threads for paralleisation as they reduce overhead compared to MPI tasks. + moose_runner = MooseRunner(moose_config) + + moose_runner.set_run_opts(n_tasks = 1, + n_threads = 8, + redirect_out = False) + + #%% + # Let's grab a simple thermo-mechanical cube test case from pyvale's moose + # simulation library and we will set this as the input file to run with our + # 'runner'. + moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) + moose_runner.set_input_file(moose_input) + + #%% + # Our moose runner will pass a list of strings which form the command line to + # run our moose simulation. We print the list of command line arguments here so + # we can check we are correctly calling our input file with the run options we + # want. + print(moose_runner.get_arg_list()) + print() + + #%% + # To run our moose simulation we just need to call 'run', here we will time our + # moose run and then print the solve time to the terminal + start_time = time.perf_counter() + moose_runner.run() + run_time = time.perf_counter() - start_time + + print() + print("-"*80) + print(f'MOOSE run time = {run_time:.3f} seconds') + print("-"*80) + print() + + +from pyvale.mooseherder import moose_availability + +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + print("MOOSE is unavailable: skipping this example.") + print("This example requires the proteus MOOSE application " + "in ~/proteus.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex2b_run_gmsh_once.py b/src/pyvale/examples/mooseherder/ex2b_run_gmsh_once.py index 4b3463347..4c1c7a588 100644 --- a/src/pyvale/examples/mooseherder/ex2b_run_gmsh_once.py +++ b/src/pyvale/examples/mooseherder/ex2b_run_gmsh_once.py @@ -21,44 +21,56 @@ from pathlib import Path #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import GmshRunner -#%% -# First we need to create a 'runner' for gmsh which needs to know the path to -# the gmsh executable. You will need to replace this path with the path to where -# you have install gmsh on your system. -gmsh_path = Path.home() / 'gmsh/bin/gmsh' -gmsh_runner = GmshRunner(gmsh_path) - -#%% -# Next we grab a gmsh file from pyvale simulation library and we set this as the -# input file for our runner. -gmsh_input = dataset.sim_case_gmsh_file_path(case_num=17) -gmsh_runner.set_input_file(gmsh_input) - -#%% -# Now we can run gmsh to generate our mesh using the run method, the parse only -# flag means we will run gmsh head less and not open the gmsh GUI but terminal -# output will still be written to stdout. -# -# We also use our performance timer to time how long our mesh generation takes -# and then we print this to the console. Note that parallelisation options for -# gmsh can be controlled in the gmsh .geo script file. -start_time = time.perf_counter() -gmsh_runner.run(gmsh_input,parse_only=True) -run_time = time.perf_counter() - start_time - -print() -print("-"*80) -print(f'Gmsh run time = {run_time :.3f} seconds') -print("-"*80) -print() - -#%% -# The GmshRunner and the MooseRunner implement the SimRunner abstract base -# class. Later on when we will see that we can use this to run a list of -# different sim runners in order using MooseHerd workflow manager. This allows -# us to first build our mesh with gmsh and then run a moose simulation using -# that mesh. We can also implement our own SimRunner's to add additional pre or -# post processing steps to our simulation chain. \ No newline at end of file + +def main() -> None: + + #%% + # First we need to create a 'runner' for gmsh which needs to know the path to + # the gmsh executable. You will need to replace this path with the path to where + # you have install gmsh on your system. + gmsh_path = Path.home() / 'gmsh/bin/gmsh' + gmsh_runner = GmshRunner(gmsh_path) + + #%% + # Next we grab a gmsh file from pyvale simulation library and we set this as the + # input file for our runner. + gmsh_input = dataset.sim_case_gmsh_file_path(case_num=17) + gmsh_runner.set_input_file(gmsh_input) + + #%% + # Now we can run gmsh to generate our mesh using the run method, the parse only + # flag means we will run gmsh head less and not open the gmsh GUI but terminal + # output will still be written to stdout. + # + # We also use our performance timer to time how long our mesh generation takes + # and then we print this to the console. Note that parallelisation options for + # gmsh can be controlled in the gmsh .geo script file. + start_time = time.perf_counter() + gmsh_runner.run(gmsh_input,parse_only=True) + run_time = time.perf_counter() - start_time + + print() + print("-"*80) + print(f'Gmsh run time = {run_time :.3f} seconds') + print("-"*80) + print() + + #%% + # The GmshRunner and the MooseRunner implement the SimRunner abstract base + # class. Later on when we will see that we can use this to run a list of + # different sim runners in order using MooseHerd workflow manager. This allows + # us to first build our mesh with gmsh and then run a moose simulation using + # that mesh. We can also implement our own SimRunner's to add additional pre or + # post processing steps to our simulation chain. + + +from pyvale.mooseherder import gmsh_availability + +if not gmsh_availability().available: + print("Gmsh is unavailable: skipping this example.") + print("Install Gmsh and make sure the 'gmsh' executable is on PATH.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex2c_run_both_once.py b/src/pyvale/examples/mooseherder/ex2c_run_both_once.py index 01da64551..08c994647 100644 --- a/src/pyvale/examples/mooseherder/ex2c_run_both_once.py +++ b/src/pyvale/examples/mooseherder/ex2c_run_both_once.py @@ -35,80 +35,97 @@ from pathlib import Path #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import (MooseConfig, GmshRunner, MooseRunner) -#%% -# We need to make sure the output .msh file from gmsh can be found by our moose -# input script so we are going to put them in our standard pyvale-output -# directory in our current working directory. First we grab the paths for the -# .geo and .i and then we copy them to the pyvale-output directory where we will -# run our simulation from. We then print the paths to we can see where the files -# are - try opening them with your text editor of choice so you can see how the -# name of the mesh is specified in the gmsh .geo as the .msh output and the then -# how the name is matched in the moose .i to read the .msh to run the sim. - -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -gmsh_file = dataset.sim_case_gmsh_file_path(case_num=17) -gmsh_input = output_path / gmsh_file.name - -moose_file = dataset.sim_case_input_file_path(case_num=17) -moose_input = output_path / moose_file.name - -shutil.copyfile(moose_file,moose_input) -shutil.copyfile(gmsh_file,gmsh_input) - -print(f"\n{moose_input.resolve()=}") -print(f"{gmsh_input.resolve()=}\n") - -#%% -# We need to run gmsh first to generate our .msh file so we set it up and run it -# in exactly the same way as we have done in the previous example. We pass the -# path to the gmsh executable to our runner. We then set our input file and call -# run to generate the mesh. -gmsh_path = Path.home() / 'gmsh/bin/gmsh' -gmsh_runner = GmshRunner(gmsh_path) - -gmsh_runner.set_input_file(gmsh_input) - -gmsh_start = time.perf_counter() -gmsh_runner.run(parse_only=True) -gmsh_run_time = time.perf_counter()-gmsh_start - -#%% -# Now that we have our mesh we can run our moose simulation. We will setup and -# run moose in exactly the same was as in a previous example. First, we setup -# our moose configuration and pass this to our runner. We then set our run / -# parallelisation options before calling run to extecute the simulation. -config = {'main_path': Path.home()/ 'moose', - 'app_path': Path.home() / 'proteus', - 'app_name': 'proteus-opt'} -moose_config = MooseConfig(config) - -moose_runner = MooseRunner(moose_config) - -moose_runner.set_run_opts(n_tasks = 1, - n_threads = 4, - redirect_out = True) - -moose_runner.set_input_file(moose_input) - -moose_start = time.perf_counter() -moose_runner.run() -moose_run_time = time.perf_counter() - moose_start - -#%% -# Finally we print the execution times of both runners and print these to the -# console. -print("-"*80) -print(f'Gmsh run time = {gmsh_run_time:.2f} seconds') -print(f'MOOOSE run time = {moose_run_time:.2f} seconds') -print("-"*80) -print() - +def main() -> None: + + #%% + # We need to make sure the output .msh file from gmsh can be found by our moose + # input script so we are going to put them in our standard pyvale-output + # directory in our current working directory. First we grab the paths for the + # .geo and .i and then we copy them to the pyvale-output directory where we will + # run our simulation from. We then print the paths to we can see where the files + # are - try opening them with your text editor of choice so you can see how the + # name of the mesh is specified in the gmsh .geo as the .msh output and the then + # how the name is matched in the moose .i to read the .msh to run the sim. + + output_path = Path.cwd() / "pyvale-output" + if not output_path.is_dir(): + output_path.mkdir(parents=True, exist_ok=True) + + gmsh_file = dataset.sim_case_gmsh_file_path(case_num=17) + gmsh_input = output_path / gmsh_file.name + + moose_file = dataset.sim_case_input_file_path(case_num=17) + moose_input = output_path / moose_file.name + + shutil.copyfile(moose_file,moose_input) + shutil.copyfile(gmsh_file,gmsh_input) + + print(f"\n{moose_input.resolve()=}") + print(f"{gmsh_input.resolve()=}\n") + + #%% + # We need to run gmsh first to generate our .msh file so we set it up and run it + # in exactly the same way as we have done in the previous example. We pass the + # path to the gmsh executable to our runner. We then set our input file and call + # run to generate the mesh. + gmsh_path = Path.home() / 'gmsh/bin/gmsh' + gmsh_runner = GmshRunner(gmsh_path) + + gmsh_runner.set_input_file(gmsh_input) + + gmsh_start = time.perf_counter() + gmsh_runner.run(parse_only=True) + gmsh_run_time = time.perf_counter()-gmsh_start + + #%% + # Now that we have our mesh we can run our moose simulation. We will setup and + # run moose in exactly the same was as in a previous example. First, we setup + # our moose configuration and pass this to our runner. We then set our run / + # parallelisation options before calling run to extecute the simulation. + config = {'main_path': Path.home()/ 'moose', + 'app_path': Path.home() / 'proteus', + 'app_name': 'proteus-opt'} + moose_config = MooseConfig(config) + + moose_runner = MooseRunner(moose_config) + + moose_runner.set_run_opts(n_tasks = 1, + n_threads = 4, + redirect_out = True) + + moose_runner.set_input_file(moose_input) + + moose_start = time.perf_counter() + moose_runner.run() + moose_run_time = time.perf_counter() - moose_start + + #%% + # Finally we print the execution times of both runners and print these to the + # console. + print("-"*80) + print(f'Gmsh run time = {gmsh_run_time:.2f} seconds') + print(f'MOOOSE run time = {moose_run_time:.2f} seconds') + print("-"*80) + print() + + +from pyvale.mooseherder import gmsh_availability, moose_availability + +missing = [] +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + missing.append("MOOSE") +if not gmsh_availability().available: + missing.append("Gmsh") +if missing: + print(f"{' and '.join(missing)} unavailable: " + "skipping this example.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex3_run_moose_seq_para.py b/src/pyvale/examples/mooseherder/ex3_run_moose_seq_para.py index 192b7bb30..b1d6f83e4 100644 --- a/src/pyvale/examples/mooseherder/ex3_run_moose_seq_para.py +++ b/src/pyvale/examples/mooseherder/ex3_run_moose_seq_para.py @@ -30,7 +30,7 @@ import numpy as np #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import (MooseHerd, MooseRunner, InputModifier, @@ -38,120 +38,133 @@ MooseConfig, sweep_param_grid) -#%% -# First we are going to setup an input modifier and a runner for our moose -# simulation. Here we need to make sure that when we set our moose -# parallelisation options we leave enough threads for all the simulations that -# are running at once base on our CPU. It is also helpful to redirect stdout to -# file so that our terminal does not become a mess when we start running our -# simulations in parallel. -moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) -moose_modifier = InputModifier(moose_input,'#','') - -config = {'main_path': Path.home()/ 'moose', - 'app_path': Path.home() / 'proteus', - 'app_name': 'proteus-opt'} -moose_config = MooseConfig(config) - -moose_runner = MooseRunner(moose_config) -moose_runner.set_run_opts(n_tasks = 1, - n_threads = 2, - redirect_out = True) - -#%% -# Now we are going to create a directory manager which will be used to make sure -# our simulations are run in separate directories. We then create our herd -# workflow manager with our list of runners and corresponding input modifiers. -# In our case we are only running moose so our lists have a single item. The -# last thing we do is specify the number of simulations we want to run in -# parallel, for this case we match the number of directories. -num_para_sims: int = 4 -dir_manager = DirectoryManager(n_dirs=num_para_sims) -herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) -herd.set_num_para_sims(n_para=num_para_sims) - -#%% -# We need somewhere to run our simulations and store the output so we create our -# standard pyvale output directory and then we set this as the base directory -# for our directory manager. We clear any old output directories and then create -# new ones ready to write our simulation output to. -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -dir_manager.set_base_dir(output_path) -dir_manager.reset_dirs() - -#%% -# We now need to generate the parameter combinations we want to run using our -# 'herd'. This is given as a list of list of dictionaries where the outer list -# corresponds to the unique simulation chain, the inner list corresponds to each -# simulation runner in the chain, and the dicitionary contains key value pairs -# where the keys are the variables names to edit in the input file. For this -# case we only have moose in our simulation chain so our inner list will only -# have a length of one but in the next example we will see how we can combine -# a parameter sweep with gmsh->moose sweeping all possible combinations of -# variables for both simulation tools. -# -# For now we are going to use a helper function from mooseherder which will -# generate all possible combination for us in the correct data format. We just -# provide a dictionary of lists of unique parameters we want to analyse. Finally -# we print the unique combinations of parameters to the terminal as well as the -# total number of simulations to check everything is working as expected. - -moose_params = {"nElemX": (2,3,4), - "lengX": np.array([10e-3,15e-3]), - "PRatio":(0.3,)} -params = [moose_params,] -sweep_params = sweep_param_grid(params) - -print("\nParameter sweep variables by simulation:") -for ii,pp in enumerate(sweep_params): - print(f"Sim: {ii}, Params [moose,]: {pp}") - -print() -print(f"Total simulations = {len(sweep_params)}") -print() - -#%% -# The run once function of the herd allows us to run a particular single -# simulation chain from anywhere in the sweep. This is useful for debugging when -# you want to rerun a single case to see the output or what went wrong. The herd -# also stores the solution time for each single iteration so we will store this -# to estimate how long the whole sweep should take when solving sequentially. -herd.run_once(0,sweep_params[0]) -time_run_once = herd.get_iter_time() - - -#%% -# We can run the whole parameter sweep sequentially (one by one) using the run -# sequential function of the herd. We also store the total solution time -# for all simulation chains so that we can compare to a parallel run later. Note -# that it can be beneficial to run sequentially if you are using the herd within -# another loop or if one of the steps in your simulation chain is expensive and -# that step needs the computational resource. -herd.run_sequential(sweep_params) -time_run_seq = herd.get_sweep_time() - -#%% -# Finally, we can run our parameter sweep in parallel. We need a main guard here -# as we use the multi-processing package. We also store the sweep time for this -# case to compare our sequential to parallel run time. -if __name__ == "__main__": - herd.run_para(sweep_params) - time_run_para = herd.get_sweep_time() - -#%% -# Now that we have run all cases we can compare run times for a single -# simulation multiplied by the total number of simulations against runnning the -# sweep in parallel -print("-"*80) -print(f'Run time (one iter) = {time_run_once:.3f} seconds') -print(f'Est. time (one iter x num sims) = {(time_run_once*len(sweep_params)):.3f} seconds') -print() -print(f'Run time (seq) = {time_run_seq:.3f} seconds') -print(f'Run time (para) = {time_run_para:.3f} seconds') -print("-"*80) -print() - +def main() -> None: + + #%% + # First we are going to setup an input modifier and a runner for our moose + # simulation. Here we need to make sure that when we set our moose + # parallelisation options we leave enough threads for all the simulations that + # are running at once base on our CPU. It is also helpful to redirect stdout to + # file so that our terminal does not become a mess when we start running our + # simulations in parallel. + moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) + moose_modifier = InputModifier(moose_input,'#','') + + config = {'main_path': Path.home()/ 'moose', + 'app_path': Path.home() / 'proteus', + 'app_name': 'proteus-opt'} + moose_config = MooseConfig(config) + + moose_runner = MooseRunner(moose_config) + moose_runner.set_run_opts(n_tasks = 1, + n_threads = 2, + redirect_out = True) + + #%% + # Now we are going to create a directory manager which will be used to make sure + # our simulations are run in separate directories. We then create our herd + # workflow manager with our list of runners and corresponding input modifiers. + # In our case we are only running moose so our lists have a single item. The + # last thing we do is specify the number of simulations we want to run in + # parallel, for this case we match the number of directories. + num_para_sims: int = 4 + dir_manager = DirectoryManager(n_dirs=num_para_sims) + herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) + herd.set_num_para_sims(n_para=num_para_sims) + + #%% + # We need somewhere to run our simulations and store the output so we create our + # standard pyvale output directory and then we set this as the base directory + # for our directory manager. We clear any old output directories and then create + # new ones ready to write our simulation output to. + output_path = Path.cwd() / "pyvale-output" + if not output_path.is_dir(): + output_path.mkdir(parents=True, exist_ok=True) + + dir_manager.set_base_dir(output_path) + dir_manager.reset_dirs() + + #%% + # We now need to generate the parameter combinations we want to run using our + # 'herd'. This is given as a list of list of dictionaries where the outer list + # corresponds to the unique simulation chain, the inner list corresponds to each + # simulation runner in the chain, and the dicitionary contains key value pairs + # where the keys are the variables names to edit in the input file. For this + # case we only have moose in our simulation chain so our inner list will only + # have a length of one but in the next example we will see how we can combine + # a parameter sweep with gmsh->moose sweeping all possible combinations of + # variables for both simulation tools. + # + # For now we are going to use a helper function from mooseherder which will + # generate all possible combination for us in the correct data format. We just + # provide a dictionary of lists of unique parameters we want to analyse. Finally + # we print the unique combinations of parameters to the terminal as well as the + # total number of simulations to check everything is working as expected. + + moose_params = {"nElemX": (2,3,4), + "lengX": np.array([10e-3,15e-3]), + "PRatio":(0.3,)} + params = [moose_params,] + sweep_params = sweep_param_grid(params) + + print("\nParameter sweep variables by simulation:") + for ii,pp in enumerate(sweep_params): + print(f"Sim: {ii}, Params [moose,]: {pp}") + + print() + print(f"Total simulations = {len(sweep_params)}") + print() + + #%% + # The run once function of the herd allows us to run a particular single + # simulation chain from anywhere in the sweep. This is useful for debugging when + # you want to rerun a single case to see the output or what went wrong. The herd + # also stores the solution time for each single iteration so we will store this + # to estimate how long the whole sweep should take when solving sequentially. + herd.run_once(0,sweep_params[0]) + time_run_once = herd.get_iter_time() + + + #%% + # We can run the whole parameter sweep sequentially (one by one) using the run + # sequential function of the herd. We also store the total solution time + # for all simulation chains so that we can compare to a parallel run later. Note + # that it can be beneficial to run sequentially if you are using the herd within + # another loop or if one of the steps in your simulation chain is expensive and + # that step needs the computational resource. + herd.run_sequential(sweep_params) + time_run_seq = herd.get_sweep_time() + + #%% + # Finally, we can run our parameter sweep in parallel. We need a main guard here + # as we use the multi-processing package. We also store the sweep time for this + # case to compare our sequential to parallel run time. + if __name__ == "__main__": + herd.run_para(sweep_params) + time_run_para = herd.get_sweep_time() + + #%% + # Now that we have run all cases we can compare run times for a single + # simulation multiplied by the total number of simulations against runnning the + # sweep in parallel + print("-"*80) + print(f'Run time (one iter) = {time_run_once:.3f} seconds') + print(f'Est. time (one iter x num sims) = {(time_run_once*len(sweep_params)):.3f} seconds') + print() + print(f'Run time (seq) = {time_run_seq:.3f} seconds') + print(f'Run time (para) = {time_run_para:.3f} seconds') + print("-"*80) + print() + + +from pyvale.mooseherder import moose_availability + +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + print("MOOSE is unavailable: skipping this example.") + print("This example requires the proteus MOOSE application " + "in ~/proteus.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex4_run_gmsh-moose_seq_para.py b/src/pyvale/examples/mooseherder/ex4_run_gmsh-moose_seq_para.py index 7a8bb4167..6b73443a9 100644 --- a/src/pyvale/examples/mooseherder/ex4_run_gmsh-moose_seq_para.py +++ b/src/pyvale/examples/mooseherder/ex4_run_gmsh-moose_seq_para.py @@ -37,7 +37,7 @@ import numpy as np #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import (MooseHerd, MooseRunner, MooseConfig, @@ -46,131 +46,150 @@ DirectoryManager, sweep_param_grid) -#%% -# First we setup our input modifer and runner for gmsh using the same 2D plate -# with a hole simulation test case from the pyvale simulation library. This is -# the same as we have seen in previous examples for the gmsh input modifier and -# running gmsh. -sim_case: int = 17 - -gmsh_input = dataset.sim_case_gmsh_file_path(case_num=sim_case) -gmsh_modifier = InputModifier(gmsh_input,"//",";") - -gmsh_path = Path.home() / "gmsh/bin/gmsh" -gmsh_runner = GmshRunner(gmsh_path) -gmsh_runner.set_input_file(gmsh_input) - - -#%% -# Next we setup our moose input modifier and runner in the same way as we have -# done in previous examples. We set our parallelisation options for moose here -# as well as redirecting stdout to file to save our terminal when we run in -# parallel. -moose_input = dataset.sim_case_input_file_path(case_num=sim_case) -moose_modifier = InputModifier(moose_input,"#","") - -config = {'main_path': Path.home()/ 'moose', - 'app_path': Path.home() / 'proteus', - 'app_name': 'proteus-opt'} -moose_config = MooseConfig(config) -moose_runner = MooseRunner(moose_config) -moose_runner.set_run_opts(n_tasks = 1, - n_threads = 2, - redirect_out = True) - -#%% -# We can now setup our 'herd' workflow manager making sure me place gmsh ahead -# of moose in the input modifier and runner lists so it is executed first to -# generate our mesh. We setup our directories and number of simulations to run -# in paralle as we have done previously. -num_para_sims: int = 4 - -sim_runners = [gmsh_runner,moose_runner] -input_modifiers = [gmsh_modifier,moose_modifier] -dir_manager = DirectoryManager(n_dirs=num_para_sims) - -herd = MooseHerd(sim_runners,input_modifiers,dir_manager) -herd.set_num_para_sims(n_para=num_para_sims) - - -#%% -# We need somewhere to run our simulations and store the output so we create our -# standard pyvale output directory and then we set this as the base directory -# for our directory manager. We clear any old output directories and then create -# new ones ready to write our simulation output to. -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -dir_manager.set_base_dir(output_path) -dir_manager.clear_dirs() -dir_manager.create_dirs() - -#%% -# We can now setup our grid parameter sweep to run simulations for all -# combinations of variables we are interested in. For now we will only change -# the parameters of our gmsh simulation so we set our moose parameters to None. -# For the gmsh simulation parameters we pass a dictionary keyed by the variable -# we want to change and then an iterable object (e.g. tuple, list, numpy array) -# for all values of the variable we want to run. We can also have an iterable of -# strings which will insert expressions into the input file for us as shown for -# the plate height below. If we only want to analyse a single value of a -# parameter we just pass an iterable with a single element. Note that the list -# of parameters that we pass to the sweep grid function should be in the same -# order we intend to call our simulation tools - so gmsh first in this case. -# -# After running this example replace the moose params with the following: -# ``moose_params = {"EMod": (70e9,100e9),"PRatio": (0.3,0.35)}``. This should -# demonstrate how all combinations of parameters between both gmsh and moose are -# generated using the sweep grid function. -gmsh_params = {"plate_width": np.array([150e-3,100e-3]), - "plate_height": ("plate_width + 100e-3", - "plate_width + 50e-3")} -moose_params = None -params = [gmsh_params,moose_params] -sweep_params = sweep_param_grid(params) - -print("\nParameter sweep variables by simulation:") -for ii,pp in enumerate(sweep_params): - print(f"Sim: {ii}, Params [gmsh,moose]: {pp}") - -#%% -# The run once function of the herd allows us to run a particular single -# simulation chain from anywhere in the sweep. This is useful for debugging when -# you want to rerun a single case to see the output or what went wrong. The herd -# also stores the solution time for each single iteration so we will store this -# to estimate how long the whole sweep should take when solving sequentially. -herd.run_once(0,sweep_params[0]) -time_run_once = herd.get_iter_time() - - -#%% -# We can run the whole parameter sweep sequentially (one by one) using the run -# sequential function of the herd. We also store the total solution time -# for all simulation chains so that we can compare to a parallel run later. Note -# that it can be beneficial to run sequentially if you are using the herd within -# another loop or if one of the steps in your simulation chain is expensive and -# that step needs the computational resource. -herd.run_sequential(sweep_params) -time_run_seq = herd.get_sweep_time() - -#%% -# Finally, we can run our parameter sweep in parallel. We need a main guard here -# as we use the multi-processing package. We also store the sweep time for this -# case to compare our sequential to parallel run time. -if __name__ == "__main__": - herd.run_para(sweep_params) - time_run_para = herd.get_sweep_time() - -#%% -# Now that we have run all cases we can compare run times for a single -# simulation multiplied by the total number of simulations against runnning the -# sweep in parallel -print("-"*80) -print(f'Run time (one iter) = {time_run_once:.3f} seconds') -print(f'Est. time (one iter x num sims) = {(time_run_once*len(sweep_params)):.3f} seconds') -print() -print(f'Run time (seq) = {time_run_seq:.3f} seconds') -print(f'Run time (para) = {time_run_para:.3f} seconds') -print("-"*80) -print() + +def main() -> None: + + #%% + # First we setup our input modifer and runner for gmsh using the same 2D plate + # with a hole simulation test case from the pyvale simulation library. This is + # the same as we have seen in previous examples for the gmsh input modifier and + # running gmsh. + sim_case: int = 17 + + gmsh_input = dataset.sim_case_gmsh_file_path(case_num=sim_case) + gmsh_modifier = InputModifier(gmsh_input,"//",";") + + gmsh_path = Path.home() / "gmsh/bin/gmsh" + gmsh_runner = GmshRunner(gmsh_path) + gmsh_runner.set_input_file(gmsh_input) + + + #%% + # Next we setup our moose input modifier and runner in the same way as we have + # done in previous examples. We set our parallelisation options for moose here + # as well as redirecting stdout to file to save our terminal when we run in + # parallel. + moose_input = dataset.sim_case_input_file_path(case_num=sim_case) + moose_modifier = InputModifier(moose_input,"#","") + + config = {'main_path': Path.home()/ 'moose', + 'app_path': Path.home() / 'proteus', + 'app_name': 'proteus-opt'} + moose_config = MooseConfig(config) + moose_runner = MooseRunner(moose_config) + moose_runner.set_run_opts(n_tasks = 1, + n_threads = 2, + redirect_out = True) + + #%% + # We can now setup our 'herd' workflow manager making sure me place gmsh ahead + # of moose in the input modifier and runner lists so it is executed first to + # generate our mesh. We setup our directories and number of simulations to run + # in paralle as we have done previously. + num_para_sims: int = 4 + + sim_runners = [gmsh_runner,moose_runner] + input_modifiers = [gmsh_modifier,moose_modifier] + dir_manager = DirectoryManager(n_dirs=num_para_sims) + + herd = MooseHerd(sim_runners,input_modifiers,dir_manager) + herd.set_num_para_sims(n_para=num_para_sims) + + + #%% + # We need somewhere to run our simulations and store the output so we create our + # standard pyvale output directory and then we set this as the base directory + # for our directory manager. We clear any old output directories and then create + # new ones ready to write our simulation output to. + output_path = Path.cwd() / "pyvale-output" + if not output_path.is_dir(): + output_path.mkdir(parents=True, exist_ok=True) + + dir_manager.set_base_dir(output_path) + dir_manager.clear_dirs() + dir_manager.create_dirs() + + #%% + # We can now setup our grid parameter sweep to run simulations for all + # combinations of variables we are interested in. For now we will only change + # the parameters of our gmsh simulation so we set our moose parameters to None. + # For the gmsh simulation parameters we pass a dictionary keyed by the variable + # we want to change and then an iterable object (e.g. tuple, list, numpy array) + # for all values of the variable we want to run. We can also have an iterable of + # strings which will insert expressions into the input file for us as shown for + # the plate height below. If we only want to analyse a single value of a + # parameter we just pass an iterable with a single element. Note that the list + # of parameters that we pass to the sweep grid function should be in the same + # order we intend to call our simulation tools - so gmsh first in this case. + # + # After running this example replace the moose params with the following: + # ``moose_params = {"EMod": (70e9,100e9),"PRatio": (0.3,0.35)}``. This should + # demonstrate how all combinations of parameters between both gmsh and moose are + # generated using the sweep grid function. + gmsh_params = {"plate_width": np.array([150e-3,100e-3]), + "plate_height": ("plate_width + 100e-3", + "plate_width + 50e-3")} + moose_params = None + params = [gmsh_params,moose_params] + sweep_params = sweep_param_grid(params) + + print("\nParameter sweep variables by simulation:") + for ii,pp in enumerate(sweep_params): + print(f"Sim: {ii}, Params [gmsh,moose]: {pp}") + + #%% + # The run once function of the herd allows us to run a particular single + # simulation chain from anywhere in the sweep. This is useful for debugging when + # you want to rerun a single case to see the output or what went wrong. The herd + # also stores the solution time for each single iteration so we will store this + # to estimate how long the whole sweep should take when solving sequentially. + herd.run_once(0,sweep_params[0]) + time_run_once = herd.get_iter_time() + + + #%% + # We can run the whole parameter sweep sequentially (one by one) using the run + # sequential function of the herd. We also store the total solution time + # for all simulation chains so that we can compare to a parallel run later. Note + # that it can be beneficial to run sequentially if you are using the herd within + # another loop or if one of the steps in your simulation chain is expensive and + # that step needs the computational resource. + herd.run_sequential(sweep_params) + time_run_seq = herd.get_sweep_time() + + #%% + # Finally, we can run our parameter sweep in parallel. We need a main guard here + # as we use the multi-processing package. We also store the sweep time for this + # case to compare our sequential to parallel run time. + if __name__ == "__main__": + herd.run_para(sweep_params) + time_run_para = herd.get_sweep_time() + + #%% + # Now that we have run all cases we can compare run times for a single + # simulation multiplied by the total number of simulations against runnning the + # sweep in parallel + print("-"*80) + print(f'Run time (one iter) = {time_run_once:.3f} seconds') + print(f'Est. time (one iter x num sims) = {(time_run_once*len(sweep_params)):.3f} seconds') + print() + print(f'Run time (seq) = {time_run_seq:.3f} seconds') + print(f'Run time (para) = {time_run_para:.3f} seconds') + print("-"*80) + print() + + +from pyvale.mooseherder import gmsh_availability, moose_availability + +missing = [] +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + missing.append("MOOSE") +if not gmsh_availability().available: + missing.append("Gmsh") +if missing: + print(f"{' and '.join(missing)} unavailable: " + "skipping this example.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex5_run_moose_paramulti.py b/src/pyvale/examples/mooseherder/ex5_run_moose_paramulti.py index f64e96bb7..f8c4ee590 100644 --- a/src/pyvale/examples/mooseherder/ex5_run_moose_paramulti.py +++ b/src/pyvale/examples/mooseherder/ex5_run_moose_paramulti.py @@ -32,7 +32,7 @@ import numpy as np #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import (MooseHerd, MooseRunner, MooseConfig, @@ -40,97 +40,104 @@ DirectoryManager, sweep_param_grid) -#%% -# First we setup an input modifier and runner for our moose simulation in -# exactly the same way as we have done in previous examples. - -moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) -moose_modifier = InputModifier(moose_input,'#','') - -config = {'main_path': Path.home()/ 'moose', - 'app_path': Path.home() / 'proteus', - 'app_name': 'proteus-opt'} -moose_config = MooseConfig(config) - -moose_runner = MooseRunner(moose_config) -moose_runner.set_run_opts(n_tasks = 1, - n_threads = 2, - redirect_out = True) - -#%% -# We use the moose input modifier and runner to create our herd workflow manager -# as we have seen in previous examples. -num_para_sims: int = 4 -dir_manager = DirectoryManager(n_dirs=num_para_sims) -herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) -herd.set_num_para_sims(n_para=num_para_sims) - -#%% -# We need somewhere to run our simulations and store the output so we create our -# standard pyvale output directory as we have done in previous examples and then -# pass this to our directory manager. -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -dir_manager.set_base_dir(output_path) -dir_manager.reset_dirs() - -#%% -# We generate a grid sweep of the variables we are interested in analysing as -# we have done previously and then print this to the console so we can check -# all combinations of variables that we want are present and that the total -# number of simulations makes sense. - -moose_params = {"nElemX": (2,3), - "lengX": np.array([10e-3,15e-3]), - "PRatio":(0.3,)} -params = [moose_params,] -sweep_params = sweep_param_grid(params) - -print("\nParameter sweep variables by simulation:") -for ii,pp in enumerate(sweep_params): - print(f"Sim: {ii}, Params [moose,]: {pp}") - -print() -print(f"Total simulations = {len(sweep_params)}") -print() - -#%% -# Here we are going to run the parameter sweep a certain number of times and -# while storing the total time to complete the parameter sweep each time. Once -# we have completed all the parameter sweeps we print the time taken for each -# sweep and the average sweep time to the console. -# -# Now if we inspect the simulation working directories in our pyvale-output -# directory we will see that all runs have been stored. If we need to clear -# the directories in between parallel sweeps we can call -# ``dir_manager.reset_dirs()`` and then we will only be left with one copy of -# the sweep output. Retaining all simulations is useful if we want to update -# the parameters we are passing to the ``run_para`` function every time it -# is called. - -num_para_runs: int = 3 - -if __name__ == '__main__': - sweep_times = np.zeros((num_para_runs,),dtype=np.float64) - for rr in range(num_para_runs): - herd.run_para(sweep_params) - sweep_times[rr] = herd.get_sweep_time() - - -print(80*"-") -for ii,ss in enumerate(sweep_times): - print(f"Sweep {ii} took: {ss:.3f}seconds") - -print(80*"-") -print(f"Average sweep time: {np.mean(sweep_times):.3f} seconds") -print(80*"-") - - - - - - - +def main() -> None: + + #%% + # First we setup an input modifier and runner for our moose simulation in + # exactly the same way as we have done in previous examples. + + moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) + moose_modifier = InputModifier(moose_input,'#','') + + config = {'main_path': Path.home()/ 'moose', + 'app_path': Path.home() / 'proteus', + 'app_name': 'proteus-opt'} + moose_config = MooseConfig(config) + + moose_runner = MooseRunner(moose_config) + moose_runner.set_run_opts(n_tasks = 1, + n_threads = 2, + redirect_out = True) + + #%% + # We use the moose input modifier and runner to create our herd workflow manager + # as we have seen in previous examples. + num_para_sims: int = 4 + dir_manager = DirectoryManager(n_dirs=num_para_sims) + herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) + herd.set_num_para_sims(n_para=num_para_sims) + + #%% + # We need somewhere to run our simulations and store the output so we create our + # standard pyvale output directory as we have done in previous examples and then + # pass this to our directory manager. + output_path = Path.cwd() / "pyvale-output" + if not output_path.is_dir(): + output_path.mkdir(parents=True, exist_ok=True) + + dir_manager.set_base_dir(output_path) + dir_manager.reset_dirs() + + #%% + # We generate a grid sweep of the variables we are interested in analysing as + # we have done previously and then print this to the console so we can check + # all combinations of variables that we want are present and that the total + # number of simulations makes sense. + + moose_params = {"nElemX": (2,3), + "lengX": np.array([10e-3,15e-3]), + "PRatio":(0.3,)} + params = [moose_params,] + sweep_params = sweep_param_grid(params) + + print("\nParameter sweep variables by simulation:") + for ii,pp in enumerate(sweep_params): + print(f"Sim: {ii}, Params [moose,]: {pp}") + + print() + print(f"Total simulations = {len(sweep_params)}") + print() + + #%% + # Here we are going to run the parameter sweep a certain number of times and + # while storing the total time to complete the parameter sweep each time. Once + # we have completed all the parameter sweeps we print the time taken for each + # sweep and the average sweep time to the console. + # + # Now if we inspect the simulation working directories in our pyvale-output + # directory we will see that all runs have been stored. If we need to clear + # the directories in between parallel sweeps we can call + # ``dir_manager.reset_dirs()`` and then we will only be left with one copy of + # the sweep output. Retaining all simulations is useful if we want to update + # the parameters we are passing to the ``run_para`` function every time it + # is called. + + num_para_runs: int = 3 + + if __name__ == '__main__': + sweep_times = np.zeros((num_para_runs,),dtype=np.float64) + for rr in range(num_para_runs): + herd.run_para(sweep_params) + sweep_times[rr] = herd.get_sweep_time() + + + print(80*"-") + for ii,ss in enumerate(sweep_times): + print(f"Sweep {ii} took: {ss:.3f}seconds") + + print(80*"-") + print(f"Average sweep time: {np.mean(sweep_times):.3f} seconds") + print(80*"-") + + +from pyvale.mooseherder import moose_availability + +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + print("MOOSE is unavailable: skipping this example.") + print("This example requires the proteus MOOSE application " + "in ~/proteus.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex6_read_moose_exodus.py b/src/pyvale/examples/mooseherder/ex6_read_moose_exodus.py index b3c426f4d..5e6d8f0ce 100644 --- a/src/pyvale/examples/mooseherder/ex6_read_moose_exodus.py +++ b/src/pyvale/examples/mooseherder/ex6_read_moose_exodus.py @@ -29,135 +29,149 @@ import numpy as np #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.sensorsim as sens from pyvale.mooseherder import (MooseRunner, MooseConfig, ExodusLoader) -#%% -# We also define a helper function that will print all attriubutes of a -# dataclas so we can see what it contains. This will be useful when we inspect -# what our ``SimData`` objects contain. -def print_attrs(in_obj: Any) -> None: - for field in dataclasses.fields(in_obj): - if not field.name.startswith('__'): - print(f" {field.name}: {field.type}") - -#%% -# We need to know where our simulation output is so we are going to create our -# standard pyvale-output directory, grab our simulation input file from the -# pyvale simulation library and then copy it to this directory to run. This -# means the output exodus will appear in the same directory as the input file. - -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -moose_file = dataset.element_case_input_path(dataset.EElemTest.HEX20) -moose_input = output_path / moose_file.name - -shutil.copyfile(moose_file,moose_input) - - -#%% -# We now create our moose runner with the same method we have used in previous -# examples. We run the simulation and time it, printing the solve time to the -# terminal. - -config = {"main_path": Path.home()/ "moose", - "app_path": Path.home() / "proteus", - "app_name": "proteus-opt"} -moose_config = MooseConfig(config) - -moose_runner = MooseRunner(moose_config) - -moose_runner.set_run_opts(n_tasks=1, n_threads=4, redirect_out=True) - -moose_runner.set_input_file(moose_input) - -start_time = time.perf_counter() -moose_runner.run() -run_time = time.perf_counter() - start_time - -print("-"*80) -print(f"MOOSE run time = {run_time:.3f} seconds") -print("-"*80) - -#%% -# Now we create our exodus reader by giving it the path to the exodus file we -# want to read. By default moose creates an exodus output with the input file -# name with "_out.e" appended. -output_exodus = output_path / (moose_input.stem + "_out.e") -exodus_reader = ExodusLoader(output_exodus) - -print("\nReading exodus file with ExodusReader:") -print(output_exodus.resolve()) -print() - - -#%% -# We start with the simplest method which is to just read everything in the -# exodus file and return it as a ``SimData`` object. In some cases we will not -# want to read everything into memory so we will show how we can control this n -# next. -# -# We then use a helper function to print the sim data fields to the terminal so -# we can see the structure of the dataclass. The documentation for the -# ``SimData`` class provides descriptions of each of the fields and we -# recommend you check this out to understand the terminal output. -all_sim_data = exodus_reader.load_all_sim_data() -print("SimData from 'read_all':") -sens.simtools.print_sim_data(all_sim_data) - -#%% -# We are now going to read specific variables from the exodus output using a -# read configuration object. There are two ways to create this object. A good -# way to start is to use the exodus reader to return the read config that would -# extract all variables from the exodus as shown below. This is helpful as it -# will pre-populate the 'node', 'elem' and 'glob' variables with the appropriate -# dicitionary keys to read based on what is already in the exodus file. - -read_config = exodus_reader.get_read_config() -sens.simtools.print_dataclass_fields(read_config) - -#%% -# We set the 'node_vars' field to None to prevent the nodal variables being read -# from the exodus file. We then use the read function to return a ``SimData`` -# object and we print the 'node_vars' field to verify that it has not been read. -read_config.node_vars = None -sim_data = exodus_reader.load_sim_data(read_config) - -print("Read config without 'node_vars':") -print(f" {sim_data.node_vars=}") -print() - -#%% -# We can also turn off reading of the simulation time steps, nodal coordinates -# and the connectivity table by setting these flags to False in our read config. -read_config.time = False -read_config.coords = False -read_config.connect = False -sim_data = exodus_reader.load_sim_data(read_config) - -print("Read config without time, coords and connectivity:") -print(f" {sim_data.time=}") -print(f" {sim_data.coords=}") -print(f" {sim_data.connect=}") -print() - - -#%% -# We can also read specific keyed fields from 'node', 'elem' and 'glob' -# variables. Here we will read just the x displacement from the node variables. -# Note that for element variables you also need to specify the block number ( -# corresponding to the number X in the key for the connectivity table in the -# format "connectivityX" in the connectivity dictionary). - -read_config.node_vars = ("disp_x",) -sim_data = exodus_reader.load_sim_data(read_config) -print("Read config only extracting x displacement:") -print(f" {sim_data.node_vars.keys()=}") -print(f" {sim_data.node_vars['disp_x'].shape=}") -print() +def main() -> None: + + #%% + # We also define a helper function that will print all attriubutes of a + # dataclas so we can see what it contains. This will be useful when we inspect + # what our ``SimData`` objects contain. + def print_attrs(in_obj: Any) -> None: + for field in dataclasses.fields(in_obj): + if not field.name.startswith('__'): + print(f" {field.name}: {field.type}") + + #%% + # We need to know where our simulation output is so we are going to create our + # standard pyvale-output directory, grab our simulation input file from the + # pyvale simulation library and then copy it to this directory to run. This + # means the output exodus will appear in the same directory as the input file. + + output_path = Path.cwd() / "pyvale-output" + if not output_path.is_dir(): + output_path.mkdir(parents=True, exist_ok=True) + + moose_file = dataset.element_case_input_path(dataset.EElemTest.HEX20) + moose_input = output_path / moose_file.name + + shutil.copyfile(moose_file,moose_input) + + + #%% + # We now create our moose runner with the same method we have used in previous + # examples. We run the simulation and time it, printing the solve time to the + # terminal. + + config = {"main_path": Path.home()/ "moose", + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"} + moose_config = MooseConfig(config) + + moose_runner = MooseRunner(moose_config) + + moose_runner.set_run_opts(n_tasks=1, n_threads=4, redirect_out=True) + + moose_runner.set_input_file(moose_input) + + start_time = time.perf_counter() + moose_runner.run() + run_time = time.perf_counter() - start_time + + print("-"*80) + print(f"MOOSE run time = {run_time:.3f} seconds") + print("-"*80) + + #%% + # Now we create our exodus reader by giving it the path to the exodus file we + # want to read. By default moose creates an exodus output with the input file + # name with "_out.e" appended. + output_exodus = output_path / (moose_input.stem + "_out.e") + exodus_reader = ExodusLoader(output_exodus) + + print("\nReading exodus file with ExodusReader:") + print(output_exodus.resolve()) + print() + + + #%% + # We start with the simplest method which is to just read everything in the + # exodus file and return it as a ``SimData`` object. In some cases we will not + # want to read everything into memory so we will show how we can control this n + # next. + # + # We then use a helper function to print the sim data fields to the terminal so + # we can see the structure of the dataclass. The documentation for the + # ``SimData`` class provides descriptions of each of the fields and we + # recommend you check this out to understand the terminal output. + all_sim_data = exodus_reader.load_all_sim_data() + print("SimData from 'read_all':") + sens.simtools.print_sim_data(all_sim_data) + + #%% + # We are now going to read specific variables from the exodus output using a + # read configuration object. There are two ways to create this object. A good + # way to start is to use the exodus reader to return the read config that would + # extract all variables from the exodus as shown below. This is helpful as it + # will pre-populate the 'node', 'elem' and 'glob' variables with the appropriate + # dicitionary keys to read based on what is already in the exodus file. + + read_config = exodus_reader.get_read_config() + sens.simtools.print_dataclass_fields(read_config) + + #%% + # We set the 'node_vars' field to None to prevent the nodal variables being read + # from the exodus file. We then use the read function to return a ``SimData`` + # object and we print the 'node_vars' field to verify that it has not been read. + read_config.node_vars = None + sim_data = exodus_reader.load_sim_data(read_config) + + print("Read config without 'node_vars':") + print(f" {sim_data.node_vars=}") + print() + + #%% + # We can also turn off reading of the simulation time steps, nodal coordinates + # and the connectivity table by setting these flags to False in our read config. + read_config.time = False + read_config.coords = False + read_config.connect = False + sim_data = exodus_reader.load_sim_data(read_config) + + print("Read config without time, coords and connectivity:") + print(f" {sim_data.time=}") + print(f" {sim_data.coords=}") + print(f" {sim_data.connect=}") + print() + + + #%% + # We can also read specific keyed fields from 'node', 'elem' and 'glob' + # variables. Here we will read just the x displacement from the node variables. + # Note that for element variables you also need to specify the block number ( + # corresponding to the number X in the key for the connectivity table in the + # format "connectivityX" in the connectivity dictionary). + + read_config.node_vars = ("disp_x",) + sim_data = exodus_reader.load_sim_data(read_config) + print("Read config only extracting x displacement:") + print(f" {sim_data.node_vars.keys()=}") + print(f" {sim_data.node_vars['disp_x'].shape=}") + print() + + +from pyvale.mooseherder import moose_availability + +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + print("MOOSE is unavailable: skipping this example.") + print("This example requires the proteus MOOSE application " + "in ~/proteus.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex7a_read_moose_herd_results.py b/src/pyvale/examples/mooseherder/ex7a_read_moose_herd_results.py index d2c68faae..eb2ac3ea8 100644 --- a/src/pyvale/examples/mooseherder/ex7a_read_moose_herd_results.py +++ b/src/pyvale/examples/mooseherder/ex7a_read_moose_herd_results.py @@ -28,7 +28,7 @@ #pyvale imports import pyvale.sensorsim as sens -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import (MooseHerd, MooseRunner, MooseConfig, @@ -37,117 +37,132 @@ SweepLoader, sweep_param_grid) -#%% -# In this first section we setup our herd workflow manager to run a parameter -# sweep of our moose simulation as we have done in previous examples. We run -# the parameter sweep and print the solve time to the terminal. The sweep -# output is in the standard pyvale-output directory we have used previously. -# In the next section we will read the output from the parameter sweep below. - -moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) -moose_modifier = InputModifier(moose_input,'#','') - -config = {'main_path': Path.home()/ 'moose', - 'app_path': Path.home() / 'proteus', - 'app_name': 'proteus-opt'} -moose_config = MooseConfig(config) - -moose_runner = MooseRunner(moose_config) -moose_runner.set_run_opts(n_tasks = 1, - n_threads = 2, - redirect_out = True) - -num_para_sims: int = 4 -dir_manager = DirectoryManager(n_dirs=num_para_sims) -herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) -herd.set_num_para_sims(n_para=num_para_sims) - -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -dir_manager.set_base_dir(output_path) -dir_manager.reset_dirs() - -moose_params = {"nElemX": (2,3), - "lengX": np.array([10e-3,15e-3]), - "PRatio":(0.3,0.35)} -params = [moose_params,] -sweep_params = sweep_param_grid(params) - - -if __name__ == "__main__": - print('Running simulation parameter sweep in parallel.') - herd.run_para(sweep_params) - print(f'Run time (parallel) = {herd.get_sweep_time():.3f} seconds\n') - - -#%% -# To read the sweep output files we first create our sweep reader and pass it -# the same directory manager we used to run the sweep. We also set the number -# of simulation outputs to read in parallel when we call the read parallel -# function. We will see below that we can still read sequentially by calling -# read sequential functions and if the simulation output files are small it is -# likely to be faster to read them sequentially. -# -# We first use our sweep reader to inspect the output path keys to find the -# simulation output files that exist in the simulation working directories. - -sweep_reader = SweepLoader(dir_manager,num_para_read=4) -output_files = sweep_reader.read_all_output_file_keys() - -print('Sweep output files (from output_keys.json):') -for ff in output_files: - print(f" {ff}") -print() - -#%% -# Using the sweep reader we can read the results for a single simulation chain -# from the sweep. Our simulation chain only has a single moose simulation so -# the list of ``SimData`` objects we are returned only has a single element. -# We then use a helper function to print the contents of the ``SimData`` object -# to the terminal. -# -# We suggest you check out the documentation for the ``SimData`` object as it -# includes a detailed description of each of the relevant fields you might want -# to use for post-processing. -sim_data_list = sweep_reader.read_results_once(output_files[0]) -sens.simtools.print_sim_data(sim_data_list[0]) - -#%% -# We can use the sweep reader to read results for each simulation chain in the -# sweep sequentially with read sequential function. The sweep results we are -# returned is a list of list of data classes where the outer list corresponds to -# the unique simulation chain in the sweep and the inner list corresponds to the -# the results for the particular simulation tool in the chain. -# -# After reading the sweep results we print the inner and outer list lengths. We -# have 8 unique simulation chains with a single simulation tool (moose) in the -# chain. -start_time = time.perf_counter() -sweep_results_seq = sweep_reader.read_sequential() -read_time_seq = time.perf_counter() - start_time - -print("Outer list = unique simulation chain:") -print(f" {len(sweep_results_seq)=}") -print("Inner list = particular simulation tool in the chain:") -print(f" {len(sweep_results_seq[0])=}") -print("'SimData' object for the particular simulation tool:") -print(f" {type(sweep_results_seq[0][0])=}") -print() - -#%% -# Finally, we read the same sweep in parallel making sure we include a main -# guard as we will be using the multi-processing package to do this. We then -# print the read time to the console for the sequential and parallel reads. -if __name__ == '__main__': + +def main() -> None: + + #%% + # In this first section we setup our herd workflow manager to run a parameter + # sweep of our moose simulation as we have done in previous examples. We run + # the parameter sweep and print the solve time to the terminal. The sweep + # output is in the standard pyvale-output directory we have used previously. + # In the next section we will read the output from the parameter sweep below. + + moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) + moose_modifier = InputModifier(moose_input,'#','') + + config = {'main_path': Path.home()/ 'moose', + 'app_path': Path.home() / 'proteus', + 'app_name': 'proteus-opt'} + moose_config = MooseConfig(config) + + moose_runner = MooseRunner(moose_config) + moose_runner.set_run_opts(n_tasks = 1, + n_threads = 2, + redirect_out = True) + + num_para_sims: int = 4 + dir_manager = DirectoryManager(n_dirs=num_para_sims) + herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) + herd.set_num_para_sims(n_para=num_para_sims) + + output_path = Path.cwd() / "pyvale-output" + if not output_path.is_dir(): + output_path.mkdir(parents=True, exist_ok=True) + + dir_manager.set_base_dir(output_path) + dir_manager.reset_dirs() + + moose_params = {"nElemX": (2,3), + "lengX": np.array([10e-3,15e-3]), + "PRatio":(0.3,0.35)} + params = [moose_params,] + sweep_params = sweep_param_grid(params) + + + if __name__ == "__main__": + print('Running simulation parameter sweep in parallel.') + herd.run_para(sweep_params) + print(f'Run time (parallel) = {herd.get_sweep_time():.3f} seconds\n') + + + #%% + # To read the sweep output files we first create our sweep reader and pass it + # the same directory manager we used to run the sweep. We also set the number + # of simulation outputs to read in parallel when we call the read parallel + # function. We will see below that we can still read sequentially by calling + # read sequential functions and if the simulation output files are small it is + # likely to be faster to read them sequentially. + # + # We first use our sweep reader to inspect the output path keys to find the + # simulation output files that exist in the simulation working directories. + + sweep_reader = SweepLoader(dir_manager,num_para_read=4) + output_files = sweep_reader.read_all_output_file_keys() + + print('Sweep output files (from output_keys.json):') + for ff in output_files: + print(f" {ff}") + print() + + #%% + # Using the sweep reader we can read the results for a single simulation chain + # from the sweep. Our simulation chain only has a single moose simulation so + # the list of ``SimData`` objects we are returned only has a single element. + # We then use a helper function to print the contents of the ``SimData`` object + # to the terminal. + # + # We suggest you check out the documentation for the ``SimData`` object as it + # includes a detailed description of each of the relevant fields you might want + # to use for post-processing. + sim_data_list = sweep_reader.read_results_once(output_files[0]) + sens.simtools.print_sim_data(sim_data_list[0]) + + #%% + # We can use the sweep reader to read results for each simulation chain in the + # sweep sequentially with read sequential function. The sweep results we are + # returned is a list of list of data classes where the outer list corresponds to + # the unique simulation chain in the sweep and the inner list corresponds to the + # the results for the particular simulation tool in the chain. + # + # After reading the sweep results we print the inner and outer list lengths. We + # have 8 unique simulation chains with a single simulation tool (moose) in the + # chain. start_time = time.perf_counter() - sweep_results_para = sweep_reader.read_results_para() - read_time_para = time.perf_counter() - start_time - -print() -print("-"*80) -print(f'Read time sequential = {read_time_seq:.6f} seconds') -print(f'Read time parallel = {read_time_para:.6f} seconds') -print("-"*80) -print() + sweep_results_seq = sweep_reader.read_sequential() + read_time_seq = time.perf_counter() - start_time + + print("Outer list = unique simulation chain:") + print(f" {len(sweep_results_seq)=}") + print("Inner list = particular simulation tool in the chain:") + print(f" {len(sweep_results_seq[0])=}") + print("'SimData' object for the particular simulation tool:") + print(f" {type(sweep_results_seq[0][0])=}") + print() + + #%% + # Finally, we read the same sweep in parallel making sure we include a main + # guard as we will be using the multi-processing package to do this. We then + # print the read time to the console for the sequential and parallel reads. + if __name__ == '__main__': + start_time = time.perf_counter() + sweep_results_para = sweep_reader.read_results_para() + read_time_para = time.perf_counter() - start_time + + print() + print("-"*80) + print(f'Read time sequential = {read_time_seq:.6f} seconds') + print(f'Read time parallel = {read_time_para:.6f} seconds') + print("-"*80) + print() + + +from pyvale.mooseherder import moose_availability + +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + print("MOOSE is unavailable: skipping this example.") + print("This example requires the proteus MOOSE application " + "in ~/proteus.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex7b_read_multi_herd_results.py b/src/pyvale/examples/mooseherder/ex7b_read_multi_herd_results.py index 236343319..9dffc7c02 100644 --- a/src/pyvale/examples/mooseherder/ex7b_read_multi_herd_results.py +++ b/src/pyvale/examples/mooseherder/ex7b_read_multi_herd_results.py @@ -28,7 +28,7 @@ import numpy as np #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import (MooseHerd, MooseRunner, MooseConfig, @@ -38,79 +38,93 @@ sweep_param_grid) -#%% -# The first part of this example is the same as our previous example called: -# 'Using multiple calls to run parallel sweeps'. For a detailed explanation of -# the code below head to that example. For now we use this to generate multiple -# sets of outputs and then use a sweep reader to read this all in below. - -moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) -moose_modifier = InputModifier(moose_input,'#','') - -config = {'main_path': Path.home()/ 'moose', - 'app_path': Path.home() / 'proteus', - 'app_name': 'proteus-opt'} -moose_config = MooseConfig(config) - -moose_runner = MooseRunner(moose_config) -moose_runner.set_run_opts(n_tasks = 1, - n_threads = 2, - redirect_out = True) - -num_para_sims: int = 4 -dir_manager = DirectoryManager(n_dirs=num_para_sims) -herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) -herd.set_num_para_sims(n_para=num_para_sims) - -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -dir_manager.set_base_dir(output_path) -dir_manager.reset_dirs() - -moose_params = {"nElemX": (2,3), - "lengX": np.array([10e-3,15e-3]), - "PRatio":(0.3,)} -params = [moose_params,] -sweep_params = sweep_param_grid(params) - -print("\nParameter sweep variables by simulation:") -for ii,pp in enumerate(sweep_params): - print(f"Sim: {ii}, Params [moose,]: {pp}") - -num_para_runs: int = 3 -if __name__ == '__main__': - sweep_times = np.zeros((num_para_runs,),dtype=np.float64) - for rr in range(num_para_runs): - herd.run_para(sweep_params) - sweep_times[rr] = herd.get_sweep_time() - -print() -for ii,ss in enumerate(sweep_times): - print(f"Sweep {ii} took: {ss:.3f}seconds") -print() - -#%% -# Here we will just read all the results sequentially and verify that we have -# the number of simulation results we expect for the multiple calls above. -# Looking at our parameter sweep we have 4 unique combination of variables and -# we ran this 3 times so we expect to have a total of 12 simulation results in -# our outer list which we print below. Note that our inner list still has a -# single ``SimData`` object as we only have a single moose simulation in our -# simulation chain. -sweep_reader = SweepLoader(dir_manager) -start_time = time.perf_counter() -sweep_results_seq = sweep_reader.read_sequential() -read_time_seq = time.perf_counter() - start_time - -print("Outer list = unique simulation chain:") -print(f" {len(sweep_results_seq)=}") -print("Inner list = particular simulation tool in the chain:") -print(f" {len(sweep_results_seq[0])=}") -print("'SimData' object for the particular simulation tool:") -print(f" {type(sweep_results_seq[0][0])=}") -print() - -print(f'Read time (sequential) = {read_time_seq:.6f} seconds') - +def main() -> None: + + + #%% + # The first part of this example is the same as our previous example called: + # 'Using multiple calls to run parallel sweeps'. For a detailed explanation of + # the code below head to that example. For now we use this to generate multiple + # sets of outputs and then use a sweep reader to read this all in below. + + moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) + moose_modifier = InputModifier(moose_input,'#','') + + config = {'main_path': Path.home()/ 'moose', + 'app_path': Path.home() / 'proteus', + 'app_name': 'proteus-opt'} + moose_config = MooseConfig(config) + + moose_runner = MooseRunner(moose_config) + moose_runner.set_run_opts(n_tasks = 1, + n_threads = 2, + redirect_out = True) + + num_para_sims: int = 4 + dir_manager = DirectoryManager(n_dirs=num_para_sims) + herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) + herd.set_num_para_sims(n_para=num_para_sims) + + output_path = Path.cwd() / "pyvale-output" + if not output_path.is_dir(): + output_path.mkdir(parents=True, exist_ok=True) + + dir_manager.set_base_dir(output_path) + dir_manager.reset_dirs() + + moose_params = {"nElemX": (2,3), + "lengX": np.array([10e-3,15e-3]), + "PRatio":(0.3,)} + params = [moose_params,] + sweep_params = sweep_param_grid(params) + + print("\nParameter sweep variables by simulation:") + for ii,pp in enumerate(sweep_params): + print(f"Sim: {ii}, Params [moose,]: {pp}") + + num_para_runs: int = 3 + if __name__ == '__main__': + sweep_times = np.zeros((num_para_runs,),dtype=np.float64) + for rr in range(num_para_runs): + herd.run_para(sweep_params) + sweep_times[rr] = herd.get_sweep_time() + + print() + for ii,ss in enumerate(sweep_times): + print(f"Sweep {ii} took: {ss:.3f}seconds") + print() + + #%% + # Here we will just read all the results sequentially and verify that we have + # the number of simulation results we expect for the multiple calls above. + # Looking at our parameter sweep we have 4 unique combination of variables and + # we ran this 3 times so we expect to have a total of 12 simulation results in + # our outer list which we print below. Note that our inner list still has a + # single ``SimData`` object as we only have a single moose simulation in our + # simulation chain. + sweep_reader = SweepLoader(dir_manager) + start_time = time.perf_counter() + sweep_results_seq = sweep_reader.read_sequential() + read_time_seq = time.perf_counter() - start_time + + print("Outer list = unique simulation chain:") + print(f" {len(sweep_results_seq)=}") + print("Inner list = particular simulation tool in the chain:") + print(f" {len(sweep_results_seq[0])=}") + print("'SimData' object for the particular simulation tool:") + print(f" {type(sweep_results_seq[0][0])=}") + print() + + print(f'Read time (sequential) = {read_time_seq:.6f} seconds') + + +from pyvale.mooseherder import moose_availability + +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + print("MOOSE is unavailable: skipping this example.") + print("This example requires the proteus MOOSE application " + "in ~/proteus.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex7c_read_multi_gmshmoose_results.py b/src/pyvale/examples/mooseherder/ex7c_read_multi_gmshmoose_results.py index e3960a188..1e9f3881f 100644 --- a/src/pyvale/examples/mooseherder/ex7c_read_multi_gmshmoose_results.py +++ b/src/pyvale/examples/mooseherder/ex7c_read_multi_gmshmoose_results.py @@ -33,7 +33,7 @@ import numpy as np #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import (MooseHerd, MooseRunner, GmshRunner, @@ -43,85 +43,104 @@ SweepLoader, sweep_param_grid) -#%% -# The first part of this example is the same as the previous example we have -# seen running a parallel parameter sweep for gmsh+moose using the herd workflow -# manager. If you are not familiar with the code below go back to the example -# entitled 'Running a parameter sweep of a Gmsh and MOOSE simulation'. -# Otherwise you can skip down to the next code block where we will read the -# output of the sweep and compare it to what we have seen previously. -sim_case: int = 17 - -gmsh_input = dataset.sim_case_gmsh_file_path(case_num=sim_case) -gmsh_modifier = InputModifier(gmsh_input,"//",";") - -gmsh_runner = GmshRunner(gmsh_path=(Path.home() / "gmsh/bin/gmsh")) -gmsh_runner.set_input_file(gmsh_input) - -moose_input = dataset.sim_case_input_file_path(case_num=sim_case) -moose_modifier = InputModifier(moose_input,"#","") - -moose_config = MooseConfig({'main_path': Path.home()/ 'moose', - 'app_path': Path.home() / 'proteus', - 'app_name': 'proteus-opt'}) -moose_runner = MooseRunner(moose_config) -moose_runner.set_run_opts(n_tasks = 1, - n_threads = 2, - redirect_out = True) - -num_para_sims: int = 4 -dir_manager = DirectoryManager(n_dirs=num_para_sims) -herd = MooseHerd([gmsh_runner,moose_runner], - [gmsh_modifier,moose_modifier], - dir_manager, - num_para_sims) - -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -dir_manager.set_base_dir(output_path) -dir_manager.reset_dirs() - -gmsh_params = {"plate_width": np.array([150e-3,100e-3]), - "plate_height": ("plate_width + 100e-3", - "plate_width + 50e-3")} -moose_params = None -sweep_params = sweep_param_grid([gmsh_params,moose_params]) - -if __name__ == "__main__": - herd.run_para(sweep_params) - time_run_para = herd.get_sweep_time() - - -print(f'Sweep run time (para) = {time_run_para:.3f} seconds\n') - -#%% -# We now pass the directory manager we used for the sweep to our sweep reader -# and then we read in the sweep results sequentially. As we have seen before -# our sweep results are given as a list of lists where the outer list is the -# unique simulation chain in our parameter sweep and the inner list corresponds -# to each simulation tool in the chain. In this case we have gmsh and moose so -# our inner list should have a length of 2. - -sweep_reader = SweepLoader(dir_manager,num_para_read=4) - -start_time = time.perf_counter() -sweep_results_seq = sweep_reader.read_sequential() -read_time_seq = time.perf_counter() - start_time - -print(f'Read time sequential = {read_time_seq:.6f} seconds\n') - -print("Outer list = unique simulation chain:") -print(f" {len(sweep_results_seq)=}") -print("Inner list = particular simulation tool in the chain:") -print(f" {len(sweep_results_seq[0])=}") -print() - -#%% -# As gmsh does not have any simulation output we can read as a ``SimData`` -# object we see that our inner sweep results list has 'None' in the position -# corresponding to gmsh (the 0 index). We also see we have our moose output as -# a ``SimData`` object at the 1 index of the inner list. -print(f"{type(sweep_results_seq[0][0])=}") -print(f"{type(sweep_results_seq[0][1])=}") + +def main() -> None: + + #%% + # The first part of this example is the same as the previous example we have + # seen running a parallel parameter sweep for gmsh+moose using the herd workflow + # manager. If you are not familiar with the code below go back to the example + # entitled 'Running a parameter sweep of a Gmsh and MOOSE simulation'. + # Otherwise you can skip down to the next code block where we will read the + # output of the sweep and compare it to what we have seen previously. + sim_case: int = 17 + + gmsh_input = dataset.sim_case_gmsh_file_path(case_num=sim_case) + gmsh_modifier = InputModifier(gmsh_input,"//",";") + + gmsh_runner = GmshRunner(gmsh_path=(Path.home() / "gmsh/bin/gmsh")) + gmsh_runner.set_input_file(gmsh_input) + + moose_input = dataset.sim_case_input_file_path(case_num=sim_case) + moose_modifier = InputModifier(moose_input,"#","") + + moose_config = MooseConfig({'main_path': Path.home()/ 'moose', + 'app_path': Path.home() / 'proteus', + 'app_name': 'proteus-opt'}) + moose_runner = MooseRunner(moose_config) + moose_runner.set_run_opts(n_tasks = 1, + n_threads = 2, + redirect_out = True) + + num_para_sims: int = 4 + dir_manager = DirectoryManager(n_dirs=num_para_sims) + herd = MooseHerd([gmsh_runner,moose_runner], + [gmsh_modifier,moose_modifier], + dir_manager, + num_para_sims) + + output_path = Path.cwd() / "pyvale-output" + if not output_path.is_dir(): + output_path.mkdir(parents=True, exist_ok=True) + + dir_manager.set_base_dir(output_path) + dir_manager.reset_dirs() + + gmsh_params = {"plate_width": np.array([150e-3,100e-3]), + "plate_height": ("plate_width + 100e-3", + "plate_width + 50e-3")} + moose_params = None + sweep_params = sweep_param_grid([gmsh_params,moose_params]) + + if __name__ == "__main__": + herd.run_para(sweep_params) + time_run_para = herd.get_sweep_time() + + + print(f'Sweep run time (para) = {time_run_para:.3f} seconds\n') + + #%% + # We now pass the directory manager we used for the sweep to our sweep reader + # and then we read in the sweep results sequentially. As we have seen before + # our sweep results are given as a list of lists where the outer list is the + # unique simulation chain in our parameter sweep and the inner list corresponds + # to each simulation tool in the chain. In this case we have gmsh and moose so + # our inner list should have a length of 2. + + sweep_reader = SweepLoader(dir_manager,num_para_read=4) + + start_time = time.perf_counter() + sweep_results_seq = sweep_reader.read_sequential() + read_time_seq = time.perf_counter() - start_time + + print(f'Read time sequential = {read_time_seq:.6f} seconds\n') + + print("Outer list = unique simulation chain:") + print(f" {len(sweep_results_seq)=}") + print("Inner list = particular simulation tool in the chain:") + print(f" {len(sweep_results_seq[0])=}") + print() + + #%% + # As gmsh does not have any simulation output we can read as a ``SimData`` + # object we see that our inner sweep results list has 'None' in the position + # corresponding to gmsh (the 0 index). We also see we have our moose output as + # a ``SimData`` object at the 1 index of the inner list. + print(f"{type(sweep_results_seq[0][0])=}") + print(f"{type(sweep_results_seq[0][1])=}") + + +from pyvale.mooseherder import gmsh_availability, moose_availability + +missing = [] +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + missing.append("MOOSE") +if not gmsh_availability().available: + missing.append("Gmsh") +if missing: + print(f"{' and '.join(missing)} unavailable: " + "skipping this example.") +else: + main() diff --git a/src/pyvale/examples/mooseherder/ex7d_readconfig_multi_gmshmoose_results.py b/src/pyvale/examples/mooseherder/ex7d_readconfig_multi_gmshmoose_results.py index 6485aef82..7b127e432 100644 --- a/src/pyvale/examples/mooseherder/ex7d_readconfig_multi_gmshmoose_results.py +++ b/src/pyvale/examples/mooseherder/ex7d_readconfig_multi_gmshmoose_results.py @@ -31,7 +31,7 @@ import numpy as np #pyvale imports -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.mooseherder import (MooseHerd, MooseRunner, MooseConfig, @@ -41,103 +41,121 @@ SweepLoader, sweep_param_grid) -#%% -# The first part of this example is the same as our previous example called: -# 'Using multiple calls to run parallel sweeps'. For a detailed explanation of -# the code below head to that example. For now we use this to generate multiple -# sets of outputs and then use a sweep reader to read this all in below. - -moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) -moose_modifier = InputModifier(moose_input,'#','') - -config = {'main_path': Path.home()/ 'moose', - 'app_path': Path.home() / 'proteus', - 'app_name': 'proteus-opt'} -moose_config = MooseConfig(config) - -moose_runner = MooseRunner(moose_config) -moose_runner.set_run_opts(n_tasks = 1, - n_threads = 2, - redirect_out = True) - -num_para_sims: int = 4 -dir_manager = DirectoryManager(n_dirs=num_para_sims) -herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) -herd.set_num_para_sims(n_para=num_para_sims) - -output_path = Path.cwd() / "pyvale-output" -if not output_path.is_dir(): - output_path.mkdir(parents=True, exist_ok=True) - -dir_manager.set_base_dir(output_path) -dir_manager.reset_dirs() - -moose_params = {"nElemX": (2,3), - "lengX": np.array([10e-3,15e-3]), - "PRatio":(0.3,)} -params = [moose_params,] -sweep_params = sweep_param_grid(params) - -print("\nParameter sweep variables by simulation:") -for ii,pp in enumerate(sweep_params): - print(f"Sim: {ii}, Params [moose,]: {pp}") - -num_para_runs: int = 3 -if __name__ == '__main__': - sweep_times = np.zeros((num_para_runs,),dtype=np.float64) - for rr in range(num_para_runs): - herd.run_para(sweep_params) - sweep_times[rr] = herd.get_sweep_time() - -print() -for ii,ss in enumerate(sweep_times): - print(f"Sweep {ii} took: {ss:.3f}seconds") -print() - - -#%% -# Now we create a sweep reader as we have done before and we will use this to -# read the json keys containing the paths to all the output files. The output -# file paths have the same list of lists structure we get when we read the -# sweep data where the outer list corresponds to the unique simulation chain and -# the inner list corresponds to position of the specific simulation tool in the -# chain. -# - -sweep_reader = SweepLoader(dir_manager,num_para_read=4) -output_file_paths = sweep_reader.read_all_output_file_keys() - - -#%% -# When we used a read configuration with our exodus reader previously we saw -# that it can be simpler to get the read configuration that covers everything -# in our file and then edit it to extract what we want. Here we are use our -# exodus reader to extract the read configuration fo the first simulation. -# We also get the original sim data so we can compare to the case when we use -# a read configuration to control what we read. -# -# Now we want to edit the read configuration so that we only read every second -# time step from our simulation output files. We do this by getting the -# original time steps with our exodus reader and then using this to change the -# ``time_inds`` field of our read configuration to extract every second step. -exodus_reader = ExodusLoader(output_file_paths[0][0]) -sim_data_orig = exodus_reader.load_all_sim_data() - -read_config = exodus_reader.get_read_config() -sim_time = exodus_reader.get_time() -read_config.time_inds = np.arange(0,sim_time.shape[0],2) - -#%% -# Now we read the sweep results using our read configuration and then check -# extracted simulation data object to see that we have every second time step. -sweep_results_seq = sweep_reader.read_sequential(read_config=read_config) - -print("Comparison of time steps extracted:") -print() -print(f"{sim_data_orig.time.shape=}") -print(f"{sweep_results_seq[0][0].time.shape=}") -print() -print(f"{sim_data_orig.node_vars['disp_x'].shape=}") -print(f"{sweep_results_seq[0][0].node_vars['disp_x'].shape=}") -print() +def main() -> None: + + #%% + # The first part of this example is the same as our previous example called: + # 'Using multiple calls to run parallel sweeps'. For a detailed explanation of + # the code below head to that example. For now we use this to generate multiple + # sets of outputs and then use a sweep reader to read this all in below. + + moose_input = dataset.element_case_input_path(dataset.EElemTest.HEX20) + moose_modifier = InputModifier(moose_input,'#','') + + config = {'main_path': Path.home()/ 'moose', + 'app_path': Path.home() / 'proteus', + 'app_name': 'proteus-opt'} + moose_config = MooseConfig(config) + + moose_runner = MooseRunner(moose_config) + moose_runner.set_run_opts(n_tasks = 1, + n_threads = 2, + redirect_out = True) + + num_para_sims: int = 4 + dir_manager = DirectoryManager(n_dirs=num_para_sims) + herd = MooseHerd([moose_runner],[moose_modifier],dir_manager) + herd.set_num_para_sims(n_para=num_para_sims) + + output_path = Path.cwd() / "pyvale-output" + if not output_path.is_dir(): + output_path.mkdir(parents=True, exist_ok=True) + + dir_manager.set_base_dir(output_path) + dir_manager.reset_dirs() + + moose_params = {"nElemX": (2,3), + "lengX": np.array([10e-3,15e-3]), + "PRatio":(0.3,)} + params = [moose_params,] + sweep_params = sweep_param_grid(params) + + print("\nParameter sweep variables by simulation:") + for ii,pp in enumerate(sweep_params): + print(f"Sim: {ii}, Params [moose,]: {pp}") + + num_para_runs: int = 3 + if __name__ == '__main__': + sweep_times = np.zeros((num_para_runs,),dtype=np.float64) + for rr in range(num_para_runs): + herd.run_para(sweep_params) + sweep_times[rr] = herd.get_sweep_time() + + print() + for ii,ss in enumerate(sweep_times): + print(f"Sweep {ii} took: {ss:.3f}seconds") + print() + + + #%% + # Now we create a sweep reader as we have done before and we will use this to + # read the json keys containing the paths to all the output files. The output + # file paths have the same list of lists structure we get when we read the + # sweep data where the outer list corresponds to the unique simulation chain and + # the inner list corresponds to position of the specific simulation tool in the + # chain. + # + + sweep_reader = SweepLoader(dir_manager,num_para_read=4) + output_file_paths = sweep_reader.read_all_output_file_keys() + + + #%% + # When we used a read configuration with our exodus reader previously we saw + # that it can be simpler to get the read configuration that covers everything + # in our file and then edit it to extract what we want. Here we are use our + # exodus reader to extract the read configuration fo the first simulation. + # We also get the original sim data so we can compare to the case when we use + # a read configuration to control what we read. + # + # Now we want to edit the read configuration so that we only read every second + # time step from our simulation output files. We do this by getting the + # original time steps with our exodus reader and then using this to change the + # ``time_inds`` field of our read configuration to extract every second step. + exodus_reader = ExodusLoader(output_file_paths[0][0]) + sim_data_orig = exodus_reader.load_all_sim_data() + + read_config = exodus_reader.get_read_config() + sim_time = exodus_reader.get_time() + read_config.time_inds = np.arange(0,sim_time.shape[0],2) + + #%% + # Now we read the sweep results using our read configuration and then check + # extracted simulation data object to see that we have every second time step. + sweep_results_seq = sweep_reader.read_sequential(read_config=read_config) + + print("Comparison of time steps extracted:") + print() + print(f"{sim_data_orig.time.shape=}") + print(f"{sweep_results_seq[0][0].time.shape=}") + print() + print(f"{sim_data_orig.node_vars['disp_x'].shape=}") + print(f"{sweep_results_seq[0][0].node_vars['disp_x'].shape=}") + print() + + +from pyvale.mooseherder import gmsh_availability, moose_availability + +missing = [] +if not moose_availability({ + "app_path": Path.home() / "proteus", + "app_name": "proteus-opt"}).available: + missing.append("MOOSE") +if not gmsh_availability().available: + missing.append("Gmsh") +if missing: + print(f"{' and '.join(missing)} unavailable: " + "skipping this example.") +else: + main() diff --git a/src/pyvale/examples/rasterimagedef/ex_rastenp.py b/src/pyvale/examples/rasterimagedef/ex_rastenp.py deleted file mode 100644 index c6eecfd16..000000000 --- a/src/pyvale/examples/rasterimagedef/ex_rastenp.py +++ /dev/null @@ -1,194 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -from pathlib import Path -import copy -import time -import numpy as np -from scipy.spatial.transform import Rotation -import matplotlib.pyplot as plt - -# pyvale imports -import pyvale.sensorsim as sens -import pyvale.mooseherder as mh - -# TODO -# - Fix the image averaging function to use cython -# - Saving of the rendered images for post processing or analysis -# - Collapse image display functions into visual to simplify code -# -# CAMERA: -# - Need option to work camera rotation based on a given position -# - The z axis is easy as we can just do roi-cam_pos but what about x and y -# -# SCENE OBJECT: -# - Allow multiple objects in the scene with their own transformations -# - Allow multiple cameras in the scene - - -def main() -> None: - """Basics rasterisation field renderer - ---------------------------------------------------------------------------- - """ - # This a path to an exodus *.e output file from MOOSE, this can be - # replaced with a path to your own simulation file - sim_path = Path.home()/"pyvale"/"src"/"pyvale"/"simcases"/"case21_out.e" - #sim_path = sens.DataSet.render_mechanical_3d_path() - - disp_comps = ("disp_x","disp_y","disp_z") - - sim_data = mh.ExodusLoader(sim_path).load_all_sim_data() - - # Scale m -> mm - sim_data = sens.scale_length_units(1000.0,sim_data,disp_comps) - - # Extracts the surface mesh from a full 3d simulation for rendering - render_mesh = sens.create_render_mesh(sim_data, - ("disp_y","disp_x"), - sim_spat_dim=3, - field_disp_keys=disp_comps) - - #=========================================================================== - # render_mesh.fields_render = render_mesh.fields_render[:,-2:-1,:] - # render_mesh.fields_disp = render_mesh.fields_disp[:,-2:-1,:] - # render_mesh.fields_disp = None - #=========================================================================== - - meshes = [render_mesh,copy.deepcopy(render_mesh)] - meshes[1].set_pos(np.array((0.0,12.5,0.0))) - meshes[1].set_rot(Rotation.from_euler("zyx",(0.0, 0.0, 0.0),degrees=True)) - meshes[1].fields_disp = None - coords_all = sens.get_all_coords_world(meshes) - - print() - print(80*"-") - print("MESH DATA:") - print(80*"-") - print("connectivity.shape=(num_elems,num_nodes_per_elem)") - print(f"{render_mesh.connectivity.shape=}") - print() - print("coords.shape=(num_nodes,coord[x,y,z])") - print(f"{render_mesh.coords.shape=}") - print() - print("fields.shape=(num_coords,num_time_steps,num_components)") - print(f"{render_mesh.fields_render.shape=}") - if render_mesh.fields_disp is not None: - print(f"{render_mesh.fields_disp.shape=}") - print(80*"-") - print() - - pixel_num = np.array((960,1280)) - pixel_size = np.array((5.3e-3,5.3e-3)) - focal_leng: float = 50 - cam_rot = Rotation.from_euler("zyx",(0.0, 0.0, -30.0),degrees=True) - fov_scale_factor: float = 1.0 - - (roi_pos_world, - cam_pos_world) = sens.CameraTools.pos_fill_frame( - coords_world=coords_all, - pixel_num=pixel_num, - pixel_size=pixel_size, - focal_leng=focal_leng, - cam_rot=cam_rot, - frame_fill=fov_scale_factor, - ) - - cam_data = sens.CameraData( - pixels_num=pixel_num, - pixels_size=pixel_size, - pos_world=cam_pos_world, - rot_world=cam_rot, - roi_cent_world=roi_pos_world, - focal_length=focal_leng, - sub_samp=2, - back_face_removal=True, - ) - - print(80*"-") - print("CAMERA DATA:") - print(80*"-") - print(f"{roi_pos_world=}") - print(f"{cam_pos_world=}") - print() - print("World to camera matrix:") - print(cam_data.world_to_cam_mat) - print(80*"-") - - scene = sens.RenderScene([cam_data,cam_data],meshes) - - frames_per_camera = (scene.meshes[0].fields_render.shape[1] - *scene.meshes[0].fields_render.shape[2]) - frames_total = frames_per_camera*len(scene.cameras) - - print(80*"-") - print("RENDER SCENE:") - print(f"Cameras #: {len(scene.cameras)}") - print(f"Meshes #: {len(scene.meshes)}") - print() - print(f"Time steps: {scene.meshes[0].fields_render.shape[1]}") - print(f"Field #: {scene.meshes[0].fields_render.shape[2]}") - print() - print(f"Frames per camera: {frames_per_camera}") - print(f"Frames total: {frames_total}") - print(80*"-") - - - #=========================================================================== - print() - print(80*"=") - print("IN MEM: Raster Loop start") - - raster_opts = sens.RasterOpts(parallel=8) - renderer = sens.RasterNumpy(raster_opts) - - time_start_loop = time.perf_counter() - - images = renderer.render_all(scene) - - time_end_loop = time.perf_counter() - time_inmem = time_end_loop - time_start_loop - - print(f"{images[0].shape=}") - print(f"{images[1].shape=}") - print("IN MEM: Raster Loop End") - print(80*"=") - - - print(80*"=") - print("TO DISK: Raster Loop start") - save_path = Path.cwd()/"pyvale-output" - if not save_path.is_dir(): - save_path.mkdir(parents=True, exist_ok=True) - - time_start_loop = time.perf_counter() - - renderer.render_all_to_disk(scene,save_path) - - time_end_loop = time.perf_counter() - time_to_disk = time_end_loop - time_start_loop - - print("TO DISK: Raster Loop End") - print(80*"=") - - - print("PERFORMANCE") - print(f"Total frames = {frames_total}") - print(f"IN MEM: Total render time = {time_inmem:.4f} s") - print(f"IN MEM: Time per frame = {(time_inmem/frames_total):.4f} s") - print(f"TO DISK: Total render time = {time_to_disk:.4f} s") - print(f"TO DISK: Time per frame = {(time_to_disk/frames_total):.4f} s") - print(80*"=") - - - plot_on = True - if plot_on: - (fig,ax) = sens.plot_field_image(images[1][:,:,-1,0], - title_str="Disp. y, [mm]") - - plt.show() - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/src/pyvale/examples/rasterimagedef/ex_rastercyth_oneframe.py b/src/pyvale/examples/rasterimagedef/ex_rastercyth_oneframe.py deleted file mode 100644 index f8f0ee9b3..000000000 --- a/src/pyvale/examples/rasterimagedef/ex_rastercyth_oneframe.py +++ /dev/null @@ -1,206 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== -from pathlib import Path -import time -import numpy as np -from scipy.spatial.transform import Rotation -import matplotlib.pyplot as plt - -# pyvale imports -import pyvale.sensorsim as sens -import pyvale.mooseherder as mh - -def main() -> None: - print() - print(80*"=") - print("RASTER CYTHON FILE (should be *.so on Linux):") - print(sens.rastercyth.__file__) - print(80*"=") - print() - - # This a path to an exodus *.e output file from MOOSE, this can be - # replaced with a path to your own simulation file - sim_path = Path.home()/"pyvale"/"src"/"pyvale"/"simcases"/"case26_out.e" - - #sim_path = sens.dataset.render_simple_block_path() - #sim_path = sens.dataSet.render_mechanical_3d_path() - sim_data = mh.ExodusLoader(sim_path).load_all_sim_data() - - disp_comps = ("disp_x","disp_y","disp_z") - - # Scale m -> mm - sim_data = sens.scale_length_units(1000.0,sim_data,disp_comps) - - print() - print(f"{np.max(np.abs(sim_data.node_vars['disp_x']))=}") - print(f"{np.max(np.abs(sim_data.node_vars['disp_y']))=}") - print(f"{np.max(np.abs(sim_data.node_vars['disp_z']))=}") - print() - - # Extracts the surface mesh from a full 3d simulation for rendering - render_mesh = sens.create_render_mesh(sim_data, - ("disp_y","disp_x","disp_z"), - sim_spat_dim=3, - field_disp_keys=disp_comps) - - - pixel_num = np.array((960,1280),dtype=np.int32) - pixel_size = np.array((5.3e-3,5.3e-3),dtype=np.float64) - focal_leng: float = 50.0 - cam_rot = Rotation.from_euler("ZYX",(0.0,-30.0,-10.0),degrees=True) - fov_scale_factor: float = 1.1 - - (roi_pos_world, - cam_pos_world) = sens.CameraTools.pos_fill_frame( - coords_world=render_mesh.coords, - pixel_num=pixel_num, - pixel_size=pixel_size, - focal_leng=focal_leng, - cam_rot=cam_rot, - frame_fill=fov_scale_factor, - ) - - cam_data = sens.CameraData( - pixels_num=pixel_num, - pixels_size=pixel_size, - pos_world=cam_pos_world, - rot_world=cam_rot, - roi_cent_world=roi_pos_world, - focal_length=focal_leng, - sub_samp=2, - back_face_removal=True, - ) - - # case_ind = 0 - # (case_ident,render_mesh,cam_data) = ib.load_benchmark_by_index(case_ind) - # print(80*"=") - # print("BENCHMARK IDENTIFIER:") - # print(f"{case_ident}") - # print(80*"=") - - - print() - print(80*"-") - print("MESH DATA:") - print(80*"-") - print("connectivity.shape=(num_elems,num_nodes_per_elem)") - print(f"{render_mesh.connectivity.shape=}") - print() - print("coords.shape=(num_nodes,coord[x,y,z])") - print(f"{render_mesh.coords.shape=}") - print() - print("fields.shape=(num_coords,num_time_steps,num_components)") - print(f"{render_mesh.fields_render.shape=}") - if render_mesh.fields_disp is not None: - print(f"{render_mesh.fields_disp.shape=}") - print(80*"-") - print() - - print(80*"-") - print("CAMERA DATA:") - print(80*"-") - print(f"{cam_data.image_dist=}") - print(f"{cam_data.roi_cent_world=}") - print(f"{cam_data.pos_world=}") - print() - print("World to camera matrix:") - print(cam_data.world_to_cam_mat) - print(80*"-") - print() - - - print(80*"-") - total_frames = render_mesh.fields_render.shape[1]*render_mesh.fields_render.shape[2] - print(f"Time steps to render: {render_mesh.fields_render.shape[1]}") - print(f"Fields to render: {render_mesh.fields_render.shape[2]}") - print(f"Total frames to render: {total_frames}") - print(80*"-") - - print(80*"=") - print("RASTER ELEMENT LOOP START") - print(80*"=") - - num_loops = 1 - - loop_times = np.zeros((num_loops,),dtype=np.float64) - - frame = -1 - fields_render = render_mesh.fields_render[:,frame,:] - total_frames = fields_render.shape[1] - - print() - print("Running raster loop.") - for nn in range(num_loops): - print(f"Running loop {nn}") - loop_start = time.perf_counter() - - (image_buffer, - depth_buffer, - elems_in_image) = sens.rastercyth.raster_static_frame( - render_mesh.coords, - render_mesh.connectivity, - fields_render, - cam_data) - - loop_times[nn] = time.perf_counter() - loop_start - - print() - print(80*"=") - print("PERFORMANCE TIMERS") - print(f"Elements in image = {elems_in_image}") - print(f"Image buffer shape = {image_buffer.shape}") - print(f"Avg. total render time = {np.mean(loop_times):.4f} seconds") - print(f"Avg. render time per frame = {(np.mean(loop_times)/total_frames):.4f} seconds") - print(80*"=") - - - #=========================================================================== - # PLOTTING - plot_on = True - plot_field = 0 - - # depth_to_plot = np.copy(np.asarray(depth_buffer[:,:,plot_frame])) - # depth_to_plot[depth_buffer[:,:,plot_frame] > 10*cam_data.image_dist] = np.nan - # image_to_plot = np.copy(np.asarray(image_buffer[:,:,plot_frame,plot_field])) - # image_to_plot[depth_buffer[:,:,plot_frame] > 10*cam_data.image_dist] = np.nan - - if plot_on: - plot_opts = sens.PlotOptsGeneral() - - - (fig, ax) = plt.subplots(figsize=plot_opts.single_fig_size_square, - layout='constrained') - fig.set_dpi(plot_opts.resolution) - cset = plt.imshow(depth_buffer[:,:], - cmap=plt.get_cmap(plot_opts.cmap_seq)) - #origin='lower') - ax.set_aspect('equal','box') - fig.colorbar(cset) - ax.set_title(f"Depth buffer",fontsize=plot_opts.font_head_size) - ax.set_xlabel(r"x ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - ax.set_ylabel(r"y ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - - (fig, ax) = plt.subplots(figsize=plot_opts.single_fig_size_square, - layout='constrained') - fig.set_dpi(plot_opts.resolution) - cset = plt.imshow(image_buffer[:,:,plot_field], - cmap=plt.get_cmap(plot_opts.cmap_seq)) - #origin='lower') - ax.set_aspect('equal','box') - fig.colorbar(cset) - ax.set_title(f"Field Image",fontsize=plot_opts.font_head_size) - ax.set_xlabel(r"x ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - ax.set_ylabel(r"y ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - - plt.show() - - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/src/pyvale/examples/rasterimagedef/ex_rastercyth_static_cypara.py b/src/pyvale/examples/rasterimagedef/ex_rastercyth_static_cypara.py deleted file mode 100644 index 749c8ae7b..000000000 --- a/src/pyvale/examples/rasterimagedef/ex_rastercyth_static_cypara.py +++ /dev/null @@ -1,189 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -from pathlib import Path -import time -import numpy as np -from scipy.spatial.transform import Rotation -import matplotlib.pyplot as plt - -# pyvale imports -import pyvale.sensorsim as sens -import pyvale.mooseherder as mh - -def main() -> None: - print() - print(80*"=") - print("RASTER CYTHON FILE (should be *.so on Linux):") - print(sens.rastercyth.__file__) - print(80*"=") - print() - - sim_path = sens.DataSet.render_mechanical_3d_path() - #sim_path = sens.DataSet.render_simple_block_path() - #sim_path = Path.home()/"pyvale"/"src"/"pyvale"/"simcases"/"case26_out.e" - sim_data = mh.ExodusLoader(sim_path).load_all_sim_data() - - disp_comps = ("disp_x","disp_y","disp_z") - - # Scale m -> mm - sim_data = sens.scale_length_units(1000.0,sim_data,disp_comps) - - print() - print(f"{np.max(np.abs(sim_data.node_vars['disp_x']))=}") - print(f"{np.max(np.abs(sim_data.node_vars['disp_y']))=}") - print(f"{np.max(np.abs(sim_data.node_vars['disp_z']))=}") - print() - - # Extracts the surface mesh from a full 3d simulation for rendering - render_mesh = sens.create_render_mesh(sim_data, - ("disp_y","disp_x"), - sim_spat_dim=3, - field_disp_keys=disp_comps) - - print() - print(80*"-") - print("MESH DATA:") - print(80*"-") - print("connectivity.shape=(num_elems,num_nodes_per_elem)") - print(f"{render_mesh.connectivity.shape=}") - print() - print("coords.shape=(num_nodes,coord[x,y,z])") - print(f"{render_mesh.coords.shape=}") - print() - print("fields.shape=(num_coords,num_time_steps,num_components)") - print(f"{render_mesh.fields_render.shape=}") - if render_mesh.fields_disp is not None: - print(f"{render_mesh.fields_disp.shape=}") - print(80*"-") - print() - - pixel_num = np.array((960,1280),dtype=np.int32) - pixel_size = np.array((5.3e-3,5.3e-3),dtype=np.float64) - focal_leng: float = 50.0 - cam_rot = Rotation.from_euler("zyx",(0.0,-30.0,-10.0),degrees=True) - fov_scale_factor: float = 1.1 - - (roi_pos_world, - cam_pos_world) = sens.CameraTools.pos_fill_frame( - coords_world=render_mesh.coords, - pixel_num=pixel_num, - pixel_size=pixel_size, - focal_leng=focal_leng, - cam_rot=cam_rot, - frame_fill=fov_scale_factor, - ) - - cam_data = sens.CameraData( - pixels_num=pixel_num, - pixels_size=pixel_size, - pos_world=cam_pos_world, - rot_world=cam_rot, - roi_cent_world=roi_pos_world, - focal_length=focal_leng, - sub_samp=2, - back_face_removal=True, - ) - - print(80*"-") - print("CAMERA DATA:") - print(80*"-") - print(f"{cam_data.image_dist=}") - print(f"{cam_data.roi_cent_world=}") - print(f"{cam_data.pos_world=}") - print() - print("World to camera matrix:") - print(cam_data.world_to_cam_mat) - print(80*"-") - print() - - print(80*"-") - total_frames = render_mesh.fields_render.shape[1]*render_mesh.fields_render.shape[2] - print(f"Time steps to render: {render_mesh.fields_render.shape[1]}") - print(f"Fields to render: {render_mesh.fields_render.shape[2]}") - print(f"Total frames to render: {total_frames}") - print(80*"-") - - print(80*"=") - print("RASTER ELEMENT LOOP START") - print(80*"=") - - num_loops = 1 - loop_times = np.zeros((num_loops,),dtype=np.float64) - - print() - print("Running raster loop.") - for nn in range(num_loops): - print(f"Running loop {nn}") - loop_start = time.perf_counter() - - (image_buffer, - depth_buffer, - elems_in_image) = sens.rastercyth.raster_static_mesh( - render_mesh, - cam_data, - 0) - - loop_times[nn] = time.perf_counter() - loop_start - - print() - print(80*"=") - print("PERFORMANCE TIMERS") - print(f"Elements in image = {elems_in_image}") - print(f"Image buffer shape = {image_buffer.shape}") - print(f"Avg. total render time = {np.mean(loop_times):.4f} seconds") - print(f"Avg. render time per frame = {(np.mean(loop_times)/total_frames):.4f} seconds") - print(80*"=") - - - #=========================================================================== - # PLOTTING - plot_on = True - plot_frames = (1,)#range(3) - plot_field = 0 - - # depth_to_plot = np.copy(np.asarray(depth_buffer[:,:,plot_frame])) - # depth_to_plot[depth_buffer[:,:,plot_frame] > 10*cam_data.image_dist] = np.nan - # image_to_plot = np.copy(np.asarray(image_buffer[:,:,plot_frame,plot_field])) - # image_to_plot[depth_buffer[:,:,plot_frame] > 10*cam_data.image_dist] = np.nan - - if plot_on: - plot_opts = sens.PlotOptsGeneral() - - for ff in plot_frames: - (fig, ax) = plt.subplots(figsize=plot_opts.single_fig_size_square, - layout='constrained') - fig.set_dpi(plot_opts.resolution) - cset = plt.imshow(depth_buffer[:,:,ff], - cmap=plt.get_cmap(plot_opts.cmap_seq)) - #origin='lower') - ax.set_aspect('equal','box') - fig.colorbar(cset) - ax.set_title(f"Depth buffer: {ff}",fontsize=plot_opts.font_head_size) - ax.set_xlabel(r"x ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - ax.set_ylabel(r"y ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - - (fig, ax) = plt.subplots(figsize=plot_opts.single_fig_size_square, - layout='constrained') - fig.set_dpi(plot_opts.resolution) - cset = plt.imshow(image_buffer[:,:,ff,plot_field], - cmap=plt.get_cmap(plot_opts.cmap_seq)) - #origin='lower') - ax.set_aspect('equal','box') - fig.colorbar(cset) - ax.set_title(f"Field Image: {ff}",fontsize=plot_opts.font_head_size) - ax.set_xlabel(r"x ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - ax.set_ylabel(r"y ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - - plt.show() - - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/src/pyvale/examples/rasterimagedef/ex_rastercyth_static_pypara.py b/src/pyvale/examples/rasterimagedef/ex_rastercyth_static_pypara.py deleted file mode 100644 index 05c9e5725..000000000 --- a/src/pyvale/examples/rasterimagedef/ex_rastercyth_static_pypara.py +++ /dev/null @@ -1,219 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -from pathlib import Path -import time -import numpy as np -from scipy.spatial.transform import Rotation -import matplotlib.pyplot as plt - -# pyvale imports -import pyvale.sensorsim as sens -import pyvale.mooseherder as mh - - -def main() -> None: - print() - print(80*"=") - print("RASTER CYTHON FILE (should be *.so on Linux):") - print(sens.rastercyth.__file__) - print(80*"=") - print() - - # This a path to an exodus *.e output file from MOOSE, this can be - # replaced with a path to your own simulation file - #sim_path = sens.DataSet.render_mechanical_3d_path() - #sim_path = sens.DataSet.render_simple_block_path() - sim_path = Path.home()/"pyvale"/"src"/"pyvale"/"simcases"/"case26_out.e" - sim_data = mh.ExodusLoader(sim_path).load_all_sim_data() - - disp_comps = ("disp_x","disp_y","disp_z") - - # Scale m -> mm - sim_data = sens.scale_length_units(1000.0,sim_data,disp_comps) - - print() - print(f"{np.max(np.abs(sim_data.node_vars['disp_x']))=}") - print(f"{np.max(np.abs(sim_data.node_vars['disp_y']))=}") - print(f"{np.max(np.abs(sim_data.node_vars['disp_z']))=}") - print() - - # Extracts the surface mesh from a full 3d simulation for rendering - render_mesh = sens.create_render_mesh(sim_data, - ("disp_x","disp_y","disp_z"), - sim_spat_dim=3, - field_disp_keys=disp_comps) - - print() - print(80*"-") - print("MESH DATA:") - print(80*"-") - print("connectivity.shape=(num_elems,num_nodes_per_elem)") - print(f"{render_mesh.connectivity.shape=}") - print() - print("coords.shape=(num_nodes,coord[x,y,z])") - print(f"{render_mesh.coords.shape=}") - print() - print("fields.shape=(num_coords,num_time_steps,num_components)") - print(f"{render_mesh.fields_render.shape=}") - if render_mesh.fields_disp is not None: - print(f"{render_mesh.fields_disp.shape=}") - print(80*"-") - print() - - pixel_num = np.array((960,1280),dtype=np.int32) - pixel_size = np.array((5.3e-3,5.3e-3),dtype=np.float64) - focal_leng: float = 50.0 - #cam_rot = Rotation.from_euler("zyx",(0.0,-30.0,-10.0),degrees=True) - cam_rot = Rotation.from_euler("zyx",(0.0,0.0,0.0),degrees=True) - fov_scale_factor: float = 1.1 - - (roi_pos_world, - cam_pos_world) = sens.CameraTools.pos_fill_frame( - coords_world=render_mesh.coords, - pixel_num=pixel_num, - pixel_size=pixel_size, - focal_leng=focal_leng, - cam_rot=cam_rot, - frame_fill=fov_scale_factor, - ) - - cam_data = sens.CameraData( - pixels_num=pixel_num, - pixels_size=pixel_size, - pos_world=cam_pos_world, - rot_world=cam_rot, - roi_cent_world=roi_pos_world, - focal_length=focal_leng, - sub_samp=2, - back_face_removal=True, - ) - - print(80*"-") - print("CAMERA DATA:") - print(80*"-") - print(f"{cam_data.image_dist=}") - print(f"{cam_data.roi_cent_world=}") - print(f"{cam_data.pos_world=}") - print() - print("World to camera matrix:") - print(cam_data.world_to_cam_mat) - print(80*"-") - print() - - print(80*"-") - total_frames = render_mesh.fields_render.shape[1]*render_mesh.fields_render.shape[2] - print(f"Time steps to render: {render_mesh.fields_render.shape[1]}") - print(f"Fields to render: {render_mesh.fields_render.shape[2]}") - print(f"Total frames to render: {total_frames}") - print(80*"-") - - print(80*"=") - print("RASTER ELEMENT LOOP START") - print(80*"=") - - num_loops = 1 - loop_times = np.zeros((num_loops,),dtype=np.float64) - - print() - print("Running raster loop.") - for nn in range(num_loops): - print(f"Running loop {nn}") - loop_start = time.perf_counter() - - (image_buffer, - depth_buffer, - elems_in_images) = sens.RasterCY.raster_static_mesh(cam_data, - render_mesh, - 16) - - loop_times[nn] = time.perf_counter() - loop_start - - print() - print(80*"=") - print("PERFORMANCE TIMERS") - print(f"Elements in image = {elems_in_images}") - print(f"Image buffer shape = {image_buffer.shape}") - print(f"Avg. total render time = {np.mean(loop_times):.4f} seconds") - print(f"Avg. render time per frame = {(np.mean(loop_times)/total_frames):.4f} seconds") - print(80*"=") - - - #=========================================================================== - # PLOTTING - plot_on = True - plot_frames = (-1,)#range(3) - plot_field = 0 - - depth_to_plot = np.copy(np.asarray(depth_buffer[:,:,:])) - depth_to_plot[depth_buffer[:,:,:] > 10*cam_data.image_dist] = np.nan - image_to_plot = np.copy(np.asarray(image_buffer[:,:,:,:])) - image_to_plot[depth_buffer[:,:,:] > 10*cam_data.image_dist] = np.nan - - if plot_on: - plot_opts = sens.PlotOptsGeneral() - - for ff in plot_frames: - (fig, ax) = plt.subplots(figsize=plot_opts.single_fig_size_square, - layout='constrained') - fig.set_dpi(plot_opts.resolution) - cset = plt.imshow(depth_to_plot[:,:,ff], - cmap=plt.get_cmap(plot_opts.cmap_seq)) - #origin='lower') - ax.set_aspect('equal','box') - fig.colorbar(cset) - ax.set_title(f"Depth buffer: {ff}",fontsize=plot_opts.font_head_size) - ax.set_xlabel(r"x ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - ax.set_ylabel(r"y ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - - (fig, ax) = plt.subplots(figsize=plot_opts.single_fig_size_square, - layout='constrained') - fig.set_dpi(plot_opts.resolution) - cset = plt.imshow(image_to_plot[:,:,ff,0], - cmap=plt.get_cmap(plot_opts.cmap_seq)) - #origin='lower') - ax.set_aspect('equal','box') - fig.colorbar(cset) - ax.set_title(f"Field Image: {ff}",fontsize=plot_opts.font_head_size) - ax.set_xlabel(r"x ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - ax.set_ylabel(r"y ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - - (fig, ax) = plt.subplots(figsize=plot_opts.single_fig_size_square, - layout='constrained') - fig.set_dpi(plot_opts.resolution) - cset = plt.imshow(image_to_plot[:,:,ff,1], - cmap=plt.get_cmap(plot_opts.cmap_seq)) - #origin='lower') - ax.set_aspect('equal','box') - fig.colorbar(cset) - ax.set_title(f"Field Image: {ff}",fontsize=plot_opts.font_head_size) - ax.set_xlabel(r"x ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - ax.set_ylabel(r"y ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - - (fig, ax) = plt.subplots(figsize=plot_opts.single_fig_size_square, - layout='constrained') - fig.set_dpi(plot_opts.resolution) - cset = plt.imshow(image_to_plot[:,:,ff,2], - cmap=plt.get_cmap(plot_opts.cmap_seq)) - #origin='lower') - ax.set_aspect('equal','box') - fig.colorbar(cset) - ax.set_title(f"Field Image: {ff}",fontsize=plot_opts.font_head_size) - ax.set_xlabel(r"x ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - ax.set_ylabel(r"y ($px$)", - fontsize=plot_opts.font_ax_size, fontname=plot_opts.font_name) - plt.show() - - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/src/pyvale/examples/render3d/README.md b/src/pyvale/examples/render3d/README.md new file mode 100644 index 000000000..13c6d58d7 --- /dev/null +++ b/src/pyvale/examples/render3d/README.md @@ -0,0 +1,6 @@ +# 3D rendering examples + +These examples use `pyvale.render` to render three-dimensional scenes. +Riley is the default 3D renderer, and the Blender examples use the same +public scene data. Install the Blender extra on Python 3.13 before running +the `ex2_*` examples. diff --git a/src/pyvale/examples/render3d/ex1a_riley_quickstart.py b/src/pyvale/examples/render3d/ex1a_riley_quickstart.py new file mode 100644 index 000000000..015d98640 --- /dev/null +++ b/src/pyvale/examples/render3d/ex1a_riley_quickstart.py @@ -0,0 +1,94 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2025 The Computer Aided Validation Team +# ============================================================================== + +"""Riley: Rendering Quickstart +================================================================================ + +Here we render a single triangle with Riley through the unified pyvale render +module. + +The common workflow for a rendering simulation in pyvale is: +1. Load and/or create meshes assigning shaders and displacement fields +2. Create cameras and position them in the scene +3. Set render configuration and use this to build the render backend +4. Build the scene then render images to memory and/or disk + +Riley is the default rendering backend for digital image correlation (DIC) +uncertainty quantification with pyvale. Riley supports full 3D rendering for +stereo DIC but is also the default for 2D image simulation due to its +computation speed and verification suite independent of DIC. +""" + +from pathlib import Path + +import numpy as np +import riley +from scipy.spatial.transform import Rotation + +from pyvale import render + +# %% +# 1. Make the triangle mesh +# ------------------------------- + +coords = np.array(((-1.0, -1.0, 0.0), (1.0, -1.0, 0.0), (0.0, 1.0, 0.0))) +connect = np.array(((0, 1, 2),)) + +shader = render.RileyFunctionShader( + builtin=riley.FuncShaderBuiltin.checker, + coord_mode=riley.FuncCoordMode.world_reference, +) +mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=connect, + shader=shader, +) + +# %% +# 2. Create and position a camera +# ------------------------------- + +camera = render.Camera( + pixels_num=np.array((512, 512)), + pixels_size=np.array((0.02, 0.02)), + pos_world=np.array((0.0, 0.0, 2.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=1.0, +) + +camera = render.cam_frame_mesh(camera, mesh, fov_scale=1.0) + +# %% +# 3. Build renderer backend +# ------------------------------- + +config = riley.create_raster_config(1, save_strategy=riley.SaveStrategy.both) +config.report = 1 +config.background_value = 0.5 + +output_dir = Path.cwd() / "pyvale-output" / "render3d_ex1a_riley_quickstart" + +renderer = render.Riley(config, output_dir) + +# %% +# 4. Render images from scene +# ------------------------------- + +scene = render.Scene3D([mesh], [camera]) +result = renderer.render(scene) + +assert result.images is not None +print(f"{result.images.shape=}") + +# %% +# The first rendered frame is shown below. +# +# .. image:: ../../../../_static/render3d_ex1a_riley_quickstart.png +# :alt: Riley checkerboard triangle quickstart render +# :width: 500px +# :align: center diff --git a/src/pyvale/examples/render3d/ex1b_riley_sphere200.py b/src/pyvale/examples/render3d/ex1b_riley_sphere200.py new file mode 100644 index 000000000..b043b1fc0 --- /dev/null +++ b/src/pyvale/examples/render3d/ex1b_riley_sphere200.py @@ -0,0 +1,106 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2025 The Computer Aided Validation Team +# ============================================================================== + +""" +Riley: Speckle sphere +================================================================================ +Here we render a sphere mesh of TRI6 elements with a speckle pattern texture +shader. + +Texture shaders use a 2D image and wrap this around a 3D object using normalised +coordinates called UVs in computer graphics. The texture shader itself then +uses these UV coordinates to map into and interpolate the colour for a pixel. + +The quality of the reconstruction is dependent on the resolution of the texture +relative to the final camera image size, the texture sampling function and the +pixel integration parameters (i.e. pixel subsampling). + +It is common to want to map a speckle pattern onto a 3D surface using UV +coordinates for digital image correlation simulation. We provide a set of +examples on UV mapping for common cases in the "Render UVs" example gallery. +""" + +from pathlib import Path + +import numpy as np +import riley +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render + +# %% +# 1. Load the mesh and assign a texture shader +# ------------------------------------------------------------ +data_dir: Path = dataset.riley_sphere200_case_path() +simulation = io.MeshLoader( + load_dir=data_dir, + coords_file="coords.csv", + connect_files="connect.csv", + load_opts=io.SimLoadOpts(coord_header=None), +).load_mesh() + +uvs = io.load_array(data_dir / "uvs.csv", header=None, delimiter=",") + +texture = render.image_load(dataset.riley_speckle_texture_path()) + +shader = render.RileyTextureShader(uvs=uvs, texture=texture) +mesh = render.mesh3d_from_simdata( + simulation, + shader=shader, +) + +# %% +# 2. Create and position the camera +# ------------------------------------------------------------ + +pixels_num = np.array((800, 500)) +pixels_size = np.array((5.3e-6, 5.3e-6)) +focal_length = 50.0e-3 +rotation = Rotation.identity() + +camera = render.Camera( + pixels_num=pixels_num, + pixels_size=pixels_size, + pos_world=np.zeros(3), + rot_world=rotation, + roi_cent_world=np.zeros(3), + focal_length=focal_length, + subsample=2, +) + +camera = render.cam_frame_mesh(camera, mesh, fov_scale=1.0) + +# %% +# 3. Configure and build the renderer +# ------------------------------------------------------------ + +config = riley.create_raster_config( + num_frames=1, + total_threads=4, + save_strategy=riley.SaveStrategy.disk, +) +output_dir = Path.cwd() / "pyvale-output" / "render3d_ex1b_riley_sphere200" + +renderer = render.Riley(config, output_dir) + +# %% +# 4. Build the scene and render it +# ------------------------------------------------------------ +scene = render.Scene3D(meshes=[mesh], cameras=[camera]) +result = renderer.render(scene) + +print(f"Rendered sphere render output to {output_dir}") +print(f"{result.images=}") + +# %% +# The first rendered frame is shown below. +# +# .. image:: ../../../../_static/render3d_ex1b_riley_sphere200.png +# :alt: A sphere with a speckle pattern +# :width: 500px +# :align: center diff --git a/src/pyvale/examples/render3d/ex1c_riley_rabbits.py b/src/pyvale/examples/render3d/ex1c_riley_rabbits.py new file mode 100644 index 000000000..9114a963e --- /dev/null +++ b/src/pyvale/examples/render3d/ex1c_riley_rabbits.py @@ -0,0 +1,169 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2025 The Computer Aided Validation Team +# ============================================================================== + + +"""Riley: Multi Shader, Multi Element Rabbits +================================================================================ + +Here we render a series of rabbit meshes of all different element types cycling +through all supported shaders for Riley to show how to build a scene with mixed +element and shader types. +""" + +from pathlib import Path + +import numpy as np +import riley +from riley.python import sceneops +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render + + +def load_rabbit( + rabbit: str, + topology: render.EElementType, +) -> tuple[io.SimData, np.ndarray]: + """Load one static rabbit mesh and its UV coordinates.""" + data_dir = dataset.riley_rabbit_case_path(rabbit, topology) + + simulation = io.MeshLoader( + load_dir=data_dir, + coords_file="coords.csv", + connect_files="connectivity.csv", + load_opts=io.SimLoadOpts(coord_header=None), + ).load_mesh() + + uvs = io.load_array(data_dir / "uvs.csv", header=None, delimiter=",") + + return simulation, uvs + + +# %% +# 1. Load several mesh topologies and assign different shaders +# ------------------------------------------------------------ + +topologies = ( + render.EElementType.TRI3, + render.EElementType.TRI6, + render.EElementType.QUAD4, + render.EElementType.QUAD8, + render.EElementType.QUAD9, +) + +texture = render.image_load(dataset.riley_speckle_texture_path()) + +meshes: list[render.Mesh3D] = [] +mesh_groups: list[sceneops.MeshGroup] = [] + +for topology_index, element_type in enumerate(topologies): + pair_start = len(meshes) + for rabbit_name in ("riley", "feebs"): + simulation, uvs = load_rabbit(rabbit_name, element_type) + shader_index = len(meshes) % 3 + + if shader_index == 0: + shader = render.RileyTextureShader(uvs=uvs, texture=texture) + elif shader_index == 1: + nodal_field = 0.5 * (uvs[:, 0] + uvs[:, 1]) + shader = render.RileyNodalShader( + field=nodal_field.reshape((1, -1, 1)), + ) + else: + shader = render.RileyFunctionShader( + builtin=riley.FuncShaderBuiltin.checker, + coord_mode=riley.FuncCoordMode.uv, + parameters=riley.FuncShaderParams(coord_scale=(36.0, 36.0)), + uvs=uvs, + scaling=riley.ScaleStrategy.auto, + ) + + mesh = render.mesh3d_from_simdata(simulation, shader=shader) + + if mesh.element_type is not element_type: + raise ValueError( + f"Unexpected topology loaded for {element_type}." + ) + + meshes.append(mesh) + + sceneops.overlap_mesh_group_bounds( + meshes, + sceneops.mesh_group_single(pair_start), + sceneops.mesh_group_single(pair_start + 1), + sceneops.BoundsOverlapSpec( + overlap_frac=(0.85, 0.8, 0.0), + enabled_axes=(True, True, False), + direct=( + sceneops.EOverlapDirect.POSITIVE, + sceneops.EOverlapDirect.NEGATIVE, + sceneops.EOverlapDirect.CURRENT, + ), + ), + ) + + mesh_groups.append(sceneops.mesh_group_span(pair_start, 2)) + +sceneops.arrange_mesh_groups_grid( + meshes, + mesh_groups, + sceneops.GridSpec(gap=(0.18, 0.28, 0.0), max_divs=(3, 2, 1)), +) + +# %% +# 2. Create and position a camera around every mesh +# ------------------------------------------------------------ +pixels_num = np.array((1600, 800)) +pixels_size = np.array((5.3e-6, 5.3e-6)) +focal_length = 50.0e-3 + +camera = render.Camera( + pixels_num=pixels_num, + pixels_size=pixels_size, + pos_world=np.zeros(3), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=focal_length, + subsample=2, +) + +camera = render.cam_frame_scene(camera, meshes, fov_scale=1.01) + +# %% +# 3. Configure and build the renderer +# ------------------------------------------------------------ + +config = riley.create_raster_config( + num_frames=1, + total_threads=4, + save_strategy=riley.SaveStrategy.disk, +) +config.background_value = 127.5 +config.image_save_mode = riley.ImageSaveMode.grey +config.save_scaling = riley.ScaleStrategy.none + +output_dir = Path.cwd() / "pyvale-output" / "render3d_ex1c_riley_rabbits" + +renderer = render.Riley(config, output_dir) + +# %% +# 4. Build the multi mesh scene and render it +# ------------------------------------------------------------ +scene = render.Scene3D(meshes=meshes, cameras=[camera]) +result = renderer.render(scene) + +print(f"Rendered the rabbit topology comparison to {output_dir}") +print(f"{result.images=}") + +# %% +# The first rendered frame containing all topology variants is shown below. +# +# .. image:: ../../../../_static/render3d_ex1c_riley_rabbits.png +# :alt: Riley rabbit meshes rendered with several element topologies +# :width: 700px +# :align: center diff --git a/src/pyvale/examples/render3d/ex1d_riley_dicuq.py b/src/pyvale/examples/render3d/ex1d_riley_dicuq.py new file mode 100644 index 000000000..89a792b6d --- /dev/null +++ b/src/pyvale/examples/render3d/ex1d_riley_dicuq.py @@ -0,0 +1,165 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2025 The Computer Aided Validation Team +# ============================================================================== + +""" +Riley: Digital Image Correlation UQ +================================================================================ +In this example we render stereo camera images of a speckle pattern applied to +a plate with a hole loaded in tension. For this case we specifically choose +parameters representative of typical stereo DIC setups. +""" + +import copy +from dataclasses import replace +from pathlib import Path + +import numpy as np +import riley +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render + +# %% +# 1. Load the deforming mesh and assign a speckle texture +# ------------------------------------------------------------ + +data_dir = dataset.riley_platehole_csv_case_path() + +simulation = io.SimLoaderByField( + load_dir=data_dir, + coords_file="coords.csv", + time_step_file=None, + node_field_files={ + "disp_x": "field_disp_x.csv", + "disp_y": "field_disp_y.csv", + "disp_z": "field_disp_z.csv", + }, + connect_files="connect.csv", + load_opts=io.SimLoadOpts( + coord_header=None, + node_field_header=None, + ), +).load_all_sim_data() + +uvs = io.load_array(data_dir / "uvs.csv", header=None, delimiter=",") +texture = render.image_load(dataset.riley_speckle_texture_path()) + +mesh = render.mesh3d_from_simdata( + simulation, + shader=render.RileyTextureShader(uvs=uvs, texture=texture), + displacement_keys=("disp_x", "disp_y", "disp_z"), +) + +# We only render the first and last frame to save time. If you want to render +# all frames comment this out. +frame_indices = render.first_last_frame_indices(mesh.displacements.shape[0]) +mesh.displacements = render.select_frames(mesh.displacements, frame_indices) + +# %% +# 2. Create and position a distorted stereo camera pair +# ------------------------------------------------------------ +pixels_num = (2464, 2056) +pixels_size = (3.45e-6, 3.45e-6) +focal_length = 50.0e-3 +roi_centre = tuple(render.mesh_center(mesh)) + +rot_world_0 = (0.0, 0.0, 0.0) +pos_world_0 = tuple( + render.cam_pos_frame_points( + mesh.coords, + pixels_num, + pixels_size, + focal_length, + rot_world_0, + fov_scale=0.65, + ) +) + +rot_world_1 = (0.0, float(np.deg2rad(20.0)), 0.0) +pos_world_1 = tuple( + render.cam_pos_frame_points( + mesh.coords, + pixels_num, + pixels_size, + focal_length, + rot_world_1, + fov_scale=0.65, + ) +) + +distortion_model = int(render.EDistortionModel.BROWN_CONRADY) + +camera_0 = riley.Camera( + pixels_num=pixels_num, + pixels_size=pixels_size, + pos_world=pos_world_0, + rot_world=rot_world_0, + roi_cent_world=roi_centre, + focal_length=focal_length, + sub_sample=2, + distortion_model=distortion_model, + distortion_k1=-0.2, + distortion_k2=0.1, + distortion_p1=0.0001, + distortion_p2=-0.0001, +) + +camera_1 = copy.deepcopy(camera_0) +camera_1.rot_world = rot_world_1 +camera_1.pos_world = pos_world_1 + +# %% +# 3. Configure and build the renderer +# ------------------------------------------------------------ + +config = riley.create_raster_config( + num_frames=mesh.displacements.shape[0], + total_threads=4, + save_strategy=riley.SaveStrategy.disk, +) +config.background_value = 128.0 +config.tile_size_max = 128 +config.save_scaling = riley.ScaleStrategy.none + +output_dir = Path.cwd() / "pyvale-output" / "render3d_ex1d_riley_dicuq" + +renderer = render.Riley(config, output_dir) + +# %% +# 4. Build the scene and render the deforming specimen +# ------------------------------------------------------------ +scene = render.Scene3D(meshes=[mesh], cameras=[camera_0, camera_1]) +result = renderer.render(scene) + +# %% +# 5. Save the stereo pair in Riley's exchange format +# ------------------------------------------------------------ +# The calibration example loads its cameras from this file. +riley.save_stereo_pair( + str(output_dir), + "stereo_data_opengl.csv", + camera_0, + camera_1, +) + +riley.save_stereo_pair( + str(output_dir), + "stereo_data_opencv.csv", + replace(camera_0, coord_sys=riley.CameraCoordSys.opencv), + replace(camera_1, coord_sys=riley.CameraCoordSys.opencv), +) +print(f"Rendered the stereo DIC images to {output_dir}") +print(f"{result.images=}") + +# %% +# The first frame from both cameras is combined side by side below. +# +# .. image:: ../../../../_static/render3d_ex1d_riley_dicuq.png +# :alt: Riley stereo DIC render from both cameras +# :width: 900px +# :align: center diff --git a/src/pyvale/examples/render3d/ex1e_riley_dic_from_exodus.py b/src/pyvale/examples/render3d/ex1e_riley_dic_from_exodus.py new file mode 100644 index 000000000..aafacd17e --- /dev/null +++ b/src/pyvale/examples/render3d/ex1e_riley_dic_from_exodus.py @@ -0,0 +1,171 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2025 The Computer Aided Validation Team +# ============================================================================== + +""" +Riley: DIC UQ from Exodus +================================================================================ +Here we render the same plate with a hole in tension from the last example but +we load the data from an exodus file and generate the UVs using Riley's tools. +""" + +import copy +from dataclasses import replace +from pathlib import Path + +import numpy as np +import riley + +import pyvale.data as dataset +from pyvale import render +from pyvale.mooseherder import ExodusLoader + +# %% +# 1. Load Exodus data and build a textured surface mesh +# ------------------------------------------------------------ +simulation = ExodusLoader( + dataset.riley_platehole_exodus_path(), + enforce_convention=True, +).load_all_sim_data() + +texture = render.image_load(dataset.riley_speckle_texture_path()) + +surface_mesh = render.mesh3d_from_simdata( + simulation, + shader=None, + displacement_keys=("disp_x", "disp_y", "disp_z"), +) + +uv_plane = render.UVPlane( + normal=np.array((0.0, 0.0, -1.0), dtype=np.float64), + origin=np.array((0.0, 0.0, 0.0), dtype=np.float64), +) +uvs = render.uv_project_planar_centered( + surface_mesh.coords, + (2056, 2464), + span=0.8, + plane=uv_plane, +) +surface_mesh.shader = render.RileyTextureShader(uvs=uvs, texture=texture) + +# To save time we only render the first and last frame. If you want to render +# all frames comment this out. +frame_indices = render.first_last_frame_indices( + surface_mesh.displacements.shape[0] +) +surface_mesh.displacements = render.select_frames( + surface_mesh.displacements, frame_indices +) + +# %% +# 2. Create and position a distorted stereo camera pair +# ------------------------------------------------------------ +pixels_num = (2464, 2056) +pixels_size = (3.45e-6, 3.45e-6) +focal_length = 50.0e-3 +roi_centre = tuple(render.mesh_center(surface_mesh)) + +rot_world_0 = (0.0, 0.0, 0.0) +pos_world_0 = tuple( + render.cam_pos_frame_points( + surface_mesh.coords, + pixels_num, + pixels_size, + focal_length, + rot_world_0, + fov_scale=0.65, + ) +) + +rot_world_1 = (0.0, float(np.deg2rad(20.0)), 0.0) +pos_world_1 = tuple( + render.cam_pos_frame_points( + surface_mesh.coords, + pixels_num, + pixels_size, + focal_length, + rot_world_1, + fov_scale=0.65, + ) +) + +distortion_model = int(render.EDistortionModel.BROWN_CONRADY) + +camera_0 = riley.Camera( + pixels_num=pixels_num, + pixels_size=pixels_size, + pos_world=pos_world_0, + rot_world=rot_world_0, + roi_cent_world=roi_centre, + focal_length=focal_length, + sub_sample=2, + distortion_model=distortion_model, + distortion_k1=-0.2, + distortion_k2=0.1, + distortion_p1=0.0001, + distortion_p2=-0.0001, +) + +camera_1 = copy.deepcopy(camera_0) +camera_1.rot_world = rot_world_1 +camera_1.pos_world = pos_world_1 + +cameras = [camera_0, camera_1] + +# %% +# 3. Configure and build the renderer +# ------------------------------------------------------------ + +config = riley.create_raster_config( + num_frames=surface_mesh.displacements.shape[0], + total_threads=8, + save_strategy=riley.SaveStrategy.disk, +) + +config.background_value = 128.0 +config.tile_size_max = 128 +config.save_scaling = riley.ScaleStrategy.none + +output_dir = ( + Path.cwd() / "pyvale-output" + / "render3d_ex1e_riley_dic_from_exodus" +) + +renderer = render.Riley(config, output_dir) + +# %% +# 4. Build the scene and render the extracted surface +# ------------------------------------------------------------ +result = renderer.render( + render.Scene3D(meshes=[surface_mesh], cameras=cameras) +) + +# %% +# 5. Save the stereo pair in Riley's exchange format +# ------------------------------------------------------------ +riley.save_stereo_pair( + str(output_dir), + "stereo_data_opengl.csv", + cameras[0], + cameras[1], +) + +riley.save_stereo_pair( + str(output_dir), + "stereo_data_opencv.csv", + replace(cameras[0], coord_sys=riley.CameraCoordSys.opencv), + replace(cameras[1], coord_sys=riley.CameraCoordSys.opencv), +) + +print(f"Rendered Exodus driven DIC images to {output_dir}") +print(f"{result.images=}") + +# %% +# The first frame from both cameras is combined side by side below. +# +# .. image:: ../../../../_static/render3d_ex1e_riley_dic_from_exodus.png +# :alt: Riley stereo DIC render loaded from Exodus data +# :width: 900px +# :align: center diff --git a/src/pyvale/examples/render3d/ex1f_riley_stereocal.py b/src/pyvale/examples/render3d/ex1f_riley_stereocal.py new file mode 100644 index 000000000..4fec9dded --- /dev/null +++ b/src/pyvale/examples/render3d/ex1f_riley_stereocal.py @@ -0,0 +1,151 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2025 The Computer Aided Validation Team +# ============================================================================== + +""" +Riley: Stereo Calibration Target +================================================================================ +Here we render a series of images of a stereo calibration target with Riley. We +also show how to save and load camera configurations into Riley using the OpenCV +or OpenGL coordinate system convention. +""" + +import copy +from pathlib import Path + +import numpy as np +import riley + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render + +# %% +# Stereo Setup +# ------------------------------------------------------------ +# Stereo pair matching the DIC UQ specimen position and camera parameters. +# The camera positions are the calibrated values from Riley's own demo so +# this example is standalone: no other example needs to run first. +MATCHED_ROI = (0.0125, 0.0175, 0.0005) +MATCHED_CAM0_POS = (0.0125, 0.0175, 0.160864856482) +MATCHED_CAM1_POS = (0.067348011198, 0.0175, 0.151193672270) + +# %% +# 1. Load the moving calibration target and its texture +# ------------------------------------------------------------ +data_dir = dataset.riley_stereocal_case_path() + +simulation = io.SimLoaderByField( + load_dir=data_dir, + coords_file="coords.csv", + time_step_file=None, + node_field_files={ + "disp_x": "field_disp_x.csv", + "disp_y": "field_disp_y.csv", + "disp_z": "field_disp_z.csv", + }, + connect_files="connect.csv", + load_opts=io.SimLoadOpts( + coord_header=None, + node_field_header=None, + ), +).load_all_sim_data() + +uvs = io.load_array(data_dir / "uvs.csv", header=None, delimiter=",") +texture = render.image_load(dataset.riley_cal_target_texture_path()) + +shader = render.RileyTextureShader(uvs=uvs, texture=texture) +mesh = render.mesh3d_from_simdata( + simulation, + shader=shader, + displacement_keys=("disp_x", "disp_y", "disp_z"), +) + +frame_indices = render.evenly_spaced_frame_indices( + mesh.displacements.shape[0], + 8, +) +mesh.displacements = render.select_frames(mesh.displacements, frame_indices) + +# %% +# 2. Shift the target onto the DIC UQ specimen position +# ------------------------------------------------------------ +mesh = render.mesh_center_at(mesh, MATCHED_ROI) +roi_pos = render.mesh_center(mesh) + +# %% +# 3. Create the stereo pair and save it in Riley's exchange format +# ---------------------------------------------------------------------- +pixels_num = (2464, 2056) +pixels_size = (3.45e-6, 3.45e-6) +focal_length = 50.0e-3 +stereo_angle_deg = 20.0 + +rot_world_0 = (0.0, 0.0, 0.0) +rot_world_1 = (0.0, float(np.deg2rad(stereo_angle_deg)), 0.0) +roi_cent = tuple(roi_pos) +distortion_model = int(render.EDistortionModel.BROWN_CONRADY) + +camera_0 = riley.Camera( + pixels_num=pixels_num, + pixels_size=pixels_size, + pos_world=MATCHED_CAM0_POS, + rot_world=rot_world_0, + roi_cent_world=roi_cent, + focal_length=focal_length, + sub_sample=2, + distortion_model=distortion_model, + distortion_k1=-0.2, + distortion_k2=0.1, + distortion_k3=0.0, + distortion_p1=0.0001, + distortion_p2=-0.0001, +) + +camera_1 = copy.deepcopy(camera_0) +camera_1.pos_world = MATCHED_CAM1_POS +camera_1.rot_world = rot_world_1 + +output_dir = Path.cwd() / "pyvale-output" / "render3d_ex1f_riley_stereocal" +output_dir.mkdir(parents=True, exist_ok=True) + +stereo_file_name = "stereo_data_opengl.csv" +riley.save_stereo_pair(str(output_dir), stereo_file_name, camera_0, camera_1) + +# %% +# 4. Load the saved cameras back and build the textured mesh +# ------------------------------------------------------------ +camera_0, camera_1 = riley.load_stereo_pair(str(output_dir), stereo_file_name) + +# %% +# 5. Configure and build the renderer +# ------------------------------------------------------------ + +config = riley.create_raster_config( + num_frames=mesh.displacements.shape[0], + total_threads=4, + save_strategy=riley.SaveStrategy.disk, +) +config.background_value = 128.0 + +renderer = render.Riley(config, output_dir) + +# %% +# 6. Build the scene and render every calibration target pose +# ------------------------------------------------------------ + +scene = render.Scene3D(meshes=[mesh], cameras=[camera_0, camera_1]) +result = renderer.render(scene) + +print(f"Rendered stereo calibration images to {output_dir}") +print(f"{result.images=}") + +# %% +# The first calibration pose from both cameras is combined side by side below. +# +# .. image:: ../../../../_static/render3d_ex1f_riley_stereocal.png +# :alt: Riley stereo calibration target from both cameras +# :width: 900px +# :align: center diff --git a/src/pyvale/examples/render3d/ex1g_riley_psf.py b/src/pyvale/examples/render3d/ex1g_riley_psf.py new file mode 100644 index 000000000..f37885075 --- /dev/null +++ b/src/pyvale/examples/render3d/ex1g_riley_psf.py @@ -0,0 +1,99 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2025 The Computer Aided Validation Team +# ============================================================================== + +""" +Riley: Point spread functions +================================================================================ +Compare Riley point spread function buffer modes through ``pyvale.render``. +""" + +from pathlib import Path + +import numpy as np +import riley +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render + +# %% +# 1. Load the mesh and assign a texture shader +# ------------------------------------------------------------ +data_dir = dataset.riley_sphere200_case_path() +simulation = io.MeshLoader( + load_dir=data_dir, + coords_file="coords.csv", + connect_files="connect.csv", + load_opts=io.SimLoadOpts(coord_header=None), +).load_mesh() + +uvs = io.load_array(data_dir / "uvs.csv", header=None, delimiter=",") +texture = render.image_load(dataset.riley_speckle_texture_path()) + +shader = render.RileyTextureShader(uvs=uvs, texture=texture) +mesh = render.mesh3d_from_simdata( + simulation, + shader=shader, +) + +# %% +# 2. Create a camera with a Gaussian PSF +# ------------------------------------------------------------ +pixels_num = np.array((800, 500)) +pixels_size = np.array((5.3e-6, 5.3e-6)) +focal_length = 50.0e-3 +camera = render.Camera( + pixels_num=pixels_num, + pixels_size=pixels_size, + pos_world=np.zeros(3), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=focal_length, + subsample=2, + psf_type=render.EPSFType.GAUSSIAN, + psf_sigma_x=1.0, + psf_support_rad=3.0, +) +camera = render.cam_frame_mesh(camera, mesh, fov_scale=1.0) + +# %% +# 3. Configure the two renderer variants +# ------------------------------------------------------------ +output_root = Path.cwd() / "pyvale-output" / "render3d_ex1g_riley_psf" + +buffer_modes = ( + riley.BufferMode.global_subpx_full, + riley.BufferMode.global_subpx_stripe, +) + +# %% +# 4. Build and render the same scene with each configuration +# ------------------------------------------------------------ +scene = render.Scene3D(meshes=[mesh], cameras=[camera]) + +for buffer_mode in buffer_modes: + config = riley.create_raster_config( + num_frames=1, + total_threads=4, + save_strategy=riley.SaveStrategy.disk, + ) + + config.buffer_mode = buffer_mode + output_dir = output_root / buffer_mode.name + renderer = render.Riley(config, output_dir) + result = renderer.render(scene) + + print(f"Rendered {buffer_mode.name} output to {output_dir}") + print(f"{result.images=}") + +# %% +# The ``global_subpx_full`` result is used as the representative buffer mode. +# +# .. image:: ../../../../_static/render3d_ex1g_riley_psf.png +# :alt: Speckled sphere rendered with a Gaussian point spread function +# :width: 500px +# :align: center diff --git a/src/pyvale/examples/render3d/ex2a_blender_scene.py b/src/pyvale/examples/render3d/ex2a_blender_scene.py new file mode 100644 index 000000000..f34136609 --- /dev/null +++ b/src/pyvale/examples/render3d/ex2a_blender_scene.py @@ -0,0 +1,110 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== + +"""Blender: Scene for 2D DIC +================================================================================ + +This example demonstrates how to set up and render a single camera 2D DIC +scene with Blender using the unified pyvale render API. The test case for this +example is a solid mechanics finite element model of a plate with a hole loaded +in tension. + +Workflow: +1. Load simulation data, scale units, and create a textured surface mesh. +2. Create and position camera and lights. +3. Configure the Blender renderer backend. +4. Build the Scene3D, render the image, and save the Blender project file. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.render as render +from pyvale.mooseherder import ExodusLoader +from pyvale.sensorsim import scale_length_units + + +# %% +# 1. Load simulation data and build a textured surface mesh +# -------------------------------------------------------------------------- +# Load the mechanical plate with a hole simulation in Exodus format (``*.e``). +# All geometry and displacements are scaled to millimetres for Blender. +# Then convert the volumetric SimData into a surface Mesh3D. Volumetric meshes +# are skinned and conventions are enforced automatically. + +data_path = dataset.render_mechanical_3d_path() +sim_data = ExodusLoader(data_path).load_all_sim_data() + +disp_keys = ("disp_x", "disp_y", "disp_z") +sim_data = scale_length_units(1000.0, sim_data, disp_keys) + +surface_mesh = render.mesh3d_from_simdata( + sim_data, + shader=None, + displacement_keys=disp_keys, +) + +# %% +# 2. Create and position camera and lights +# -------------------------------------------------------------------------- +# Specify the physical sensor dimensions, sensor pixel grid, position, +# and focal length for a perspective camera. +camera = render.Camera( + pixels_num=np.array((1540, 1040)), + pixels_size=np.array((0.00345, 0.00345)), + pos_world=np.array((0.0, 0.0, 400.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=15.0, +) + +# Calculate camera resolution in mm/pixel to scale the speckle pattern. +resolution = render.blender_mm_per_pixel(camera) +surface_mesh.shader = render.BlenderTextureShader( + image_path=dataset.dic_pattern_5mpx_path(), + millimetres_per_pixel=resolution, +) + +# Add a point light to illuminate the scene. +light = render.Light( + light_type=render.ELightType.POINT, + pos_world=np.array((0.0, 0.0, 400.0)), + direction_world=np.zeros(3), + intensity=1.0, +) + +# %% +# 3. Configure and build the Blender renderer backend +# -------------------------------------------------------------------------- +output_dir = Path.cwd() / "pyvale-output" / "render3d_ex2a_blender_scene" +config = render.BlenderConfig( + output_dir=output_dir, + samples=4, + threads=8, + save_images=True, + save_scene=True, +) +renderer = render.Blender(config) + +# %% +# 4. Build the Scene3D and render the image +# -------------------------------------------------------------------------- +scene = render.Scene3D([surface_mesh], [camera], [light]) +result = renderer.render(scene) + +print(f"Rendered {len(result.output_paths)} image to disk.") +print(f"Output saved to: {output_dir}") + +# %% +# The first rendered frame is shown below. +# +# .. image:: ../../../../_static/render3d_ex2a_blender_scene.png +# :alt: Blender render of a speckled plate with a hole +# :width: 500px +# :align: center diff --git a/src/pyvale/examples/render3d/ex2b_blender_deformation.py b/src/pyvale/examples/render3d/ex2b_blender_deformation.py new file mode 100644 index 000000000..870d75ef5 --- /dev/null +++ b/src/pyvale/examples/render3d/ex2b_blender_deformation.py @@ -0,0 +1,118 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== + +""" +Blender: 2D Deformation +================================================================================ + +This example demonstrates how to render a sequence of deformed 2D DIC images +using Blender and the unified pyvale render API. + +Test case: mechanical analysis of a plate with a hole loaded in tension. + +Workflow: +1. Load simulation data, scale units, and create a textured surface mesh. +2. Select a subset of deformation timesteps for demonstration. +3. Create and position camera and lights. +4. Configure Blender with render_deformed=True. +5. Build the Scene3D and render all selected deformation frames. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.render as render +from pyvale.mooseherder import ExodusLoader +from pyvale.sensorsim import scale_length_units + + +# %% +# 1. Load simulation data and build a textured surface mesh +# -------------------------------------------------------------------------- +# Load the mechanical plate with a hole simulation in Exodus format (``*.e``). +data_path = dataset.render_mechanical_3d_path() +sim_data = ExodusLoader(data_path).load_all_sim_data() + +disp_keys = ("disp_x", "disp_y", "disp_z") +sim_data = scale_length_units(1000.0, sim_data, disp_keys) + +surface_mesh = render.mesh3d_from_simdata( + sim_data, + shader=None, + displacement_keys=disp_keys, +) + +# %% +# 2. Select deformation timesteps +# -------------------------------------------------------------------------- +# The simulation contains 11 displacement timesteps. Here we select a +# 3 frame subset ([undeformed, mid load, peak load]) for fast tutorial +# execution. To render all simulation frames, omit this slice: +# surface_mesh.displacements = surface_mesh.displacements +if surface_mesh.displacements is not None: + surface_mesh.displacements = surface_mesh.displacements[[0, 5, -1]] + +# %% +# 3. Create and position camera and lights +# -------------------------------------------------------------------------- +camera = render.Camera( + pixels_num=np.array((1540, 1040)), + pixels_size=np.array((0.00345, 0.00345)), + pos_world=np.array((0.0, 0.0, 400.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=15.0, +) + +resolution = render.blender_mm_per_pixel(camera) +surface_mesh.shader = render.BlenderTextureShader( + image_path=dataset.dic_pattern_5mpx_path(), + millimetres_per_pixel=resolution, +) + +light = render.Light( + light_type=render.ELightType.POINT, + pos_world=np.array((0.0, 0.0, 400.0)), + direction_world=np.zeros(3), + intensity=1.0, +) + +# %% +# 4. Configure Blender backend for deformation rendering +# -------------------------------------------------------------------------- +output_dir = ( + Path.cwd() / "pyvale-output" + / "render3d_ex2b_blender_deformation" +) +config = render.BlenderConfig( + output_dir=output_dir, + samples=4, + threads=8, + render_deformed=True, + save_images=True, + save_scene=True, +) +renderer = render.Blender(config) + +# %% +# 5. Build Scene3D and render deformation frames +# -------------------------------------------------------------------------- +scene = render.Scene3D([surface_mesh], [camera], [light]) +result = renderer.render(scene) + +print(f"Rendered {len(result.output_paths)} deformation frames.") +print(f"Output saved to: {output_dir}") + +# %% +# The first deformation frame is shown below. +# +# .. image:: ../../../../_static/render3d_ex2b_blender_deformation.png +# :alt: Blender deformation render of a speckled plate with a hole +# :width: 500px +# :align: center diff --git a/src/pyvale/examples/render3d/ex2c_blender_stereo.py b/src/pyvale/examples/render3d/ex2c_blender_stereo.py new file mode 100644 index 000000000..1bb3f3d30 --- /dev/null +++ b/src/pyvale/examples/render3d/ex2c_blender_stereo.py @@ -0,0 +1,117 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== + +""" +Blender: Stereo Scene +================================================================================ + +This example demonstrates how to set up and render a convergent stereo camera +pair for 3D DIC using Blender and the unified pyvale render API. + +Test case: mechanical analysis of a plate with a hole loaded in tension. + +Workflow: +1. Load simulation data, scale units, and create a textured surface mesh. +2. Create base camera and generate convergent stereo cameras. +3. Add lighting to the scene. +4. Configure the Blender renderer backend. +5. Build Scene3D with both stereo cameras and render the stereo image pair. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.render as render +from pyvale.mooseherder import ExodusLoader +from pyvale.sensorsim import scale_length_units + + +# %% +# 1. Load simulation data and build a textured surface mesh +# -------------------------------------------------------------------------- +data_path = dataset.render_mechanical_3d_path() +sim_data = ExodusLoader(data_path).load_all_sim_data() + +disp_keys = ("disp_x", "disp_y", "disp_z") +sim_data = scale_length_units(1000.0, sim_data, disp_keys) + +surface_mesh = render.mesh3d_from_simdata( + sim_data, + shader=None, + displacement_keys=disp_keys, +) + +# %% +# 2. Create base camera and generate convergent stereo cameras +# -------------------------------------------------------------------------- +# Create the primary camera centered on the specimen ROI. +cam_base = render.Camera( + pixels_num=np.array((1540, 1040)), + pixels_size=np.array((0.00345, 0.00345)), + pos_world=np.array((0.0, 0.0, 400.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=15.0, +) + +resolution = render.blender_mm_per_pixel(cam_base) +surface_mesh.shader = render.BlenderTextureShader( + image_path=dataset.dic_pattern_5mpx_path(), + millimetres_per_pixel=resolution, +) + +# Pyvale provides convenience helpers to build convergent stereo rigs: +# - stereo_build_symmetric: both cameras rotated symmetrically about ROI +# - stereo_build_faceon: cam0 normal to specimen, cam1 angled +stereo_angle = 15.0 # degrees +stereo_cameras = render.stereo_build_symmetric(cam_base, stereo_angle) + +# %% +# 3. Create lighting +# -------------------------------------------------------------------------- +light = render.Light( + light_type=render.ELightType.POINT, + pos_world=np.array((0.0, 0.0, 400.0)), + direction_world=np.zeros(3), + intensity=1.0, +) + +# %% +# 4. Configure Blender renderer backend +# -------------------------------------------------------------------------- +output_dir = Path.cwd() / "pyvale-output" / "render3d_ex2c_blender_stereo" +config = render.BlenderConfig( + output_dir=output_dir, + samples=4, + threads=8, + save_images=True, + save_scene=True, +) +renderer = render.Blender(config) + +# %% +# 5. Build Scene3D with both stereo cameras and render +# -------------------------------------------------------------------------- +scene = render.Scene3D( + meshes=[surface_mesh], + cameras=stereo_cameras, + lights=[light], +) +result = renderer.render(scene) + +print(f"Rendered {len(result.output_paths)} stereo images.") +print(f"Output saved to: {output_dir}") + +# %% +# The first frame from both cameras is combined side by side below. +# +# .. image:: ../../../../_static/render3d_ex2c_blender_stereo.png +# :alt: Blender stereo render from both cameras +# :width: 900px +# :align: center diff --git a/src/pyvale/examples/render3d/ex2d_blender_calibration.py b/src/pyvale/examples/render3d/ex2d_blender_calibration.py new file mode 100644 index 000000000..6ad048069 --- /dev/null +++ b/src/pyvale/examples/render3d/ex2d_blender_calibration.py @@ -0,0 +1,112 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== + +""" +Blender: Stereo Camera Calibration & Parameters +================================================================================ + +This tutorial demonstrates how to define a stereo camera system, export its +intrinsic and extrinsic calibration parameters in standard formats (YAML and +MatchID), and reload calibration data. + +Stereo calibration defines: +- Intrinsic parameters: focal length, pixel size, sensor grid, principal point. +- Extrinsic parameters: 3D rotation and translation vector between cameras. + +Workflow: +1. Define a base perspective camera and construct a convergent stereo system. +2. Export the ground truth stereo calibration to YAML and MatchID formats. +3. Reload calibration data to verify parameter fidelity. +4. Calculate calibration image counts for physical target pose sweeps. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.render as render + + +# %% +# 1. Define base camera and build convergent stereo system +# -------------------------------------------------------------------------- +cam_base = render.Camera( + pixels_num=np.array((1540, 1040)), + pixels_size=np.array((0.00345, 0.00345)), + pos_world=np.array((0.0, 0.0, 400.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=15.0, +) + +stereo_angle = 15.0 # degrees +stereo_cameras = render.stereo_build_faceon(cam_base, stereo_angle) +cam_0, cam_1 = stereo_cameras + +print( + "Stereo baseline distance (mm):", + render.stereo_calc_baseline(cam_0, cam_1), +) +print("Stereo rotation (Euler xyz deg):") +print(render.stereo_calc_angles(cam_0, cam_1).relative_euler_xyz_degrees) + +# %% +# 2. Export calibration in YAML and MatchID formats +# -------------------------------------------------------------------------- +output_dir = ( + Path.cwd() / "pyvale-output" + / "render3d_ex2d_blender_calibration" +) +output_dir.mkdir(parents=True, exist_ok=True) + +# Save standard Pyvale YAML calibration: +yaml_path = output_dir / "calibration" / "calibration.yaml" +render.stereo_save_calibration_yaml(cam_0, cam_1, yaml_path) +print(f"Saved Pyvale calibration to: {yaml_path}") + +# Save MatchID compatible calibration: +mid_path = output_dir / "calibration" / "calibration.caldat" +render.stereo_save_calibration_matchid(cam_0, cam_1, mid_path) +print(f"Saved MatchID calibration to: {mid_path}") + +# %% +# 3. Reload and inspect calibration parameters +# -------------------------------------------------------------------------- +reloaded_0, reloaded_1 = render.stereo_build_from_calibration( + calibration_path=yaml_path, + pos_world_0=cam_base.pos_world, + rot_world_0=cam_base.rot_world, + focal_length=cam_base.focal_length, +) +ext_reloaded = render.stereo_calc_extrinsics(reloaded_0, reloaded_1) +ext_original = render.stereo_calc_extrinsics(cam_0, cam_1) +assert np.allclose( + ext_reloaded.translation_cam1_in_cam0, + ext_original.translation_cam1_in_cam0, +) +print("Successfully verified round-trip calibration parameters.") + +# %% +# 4. Plan calibration target pose sweeps +# -------------------------------------------------------------------------- +# For experimental DIC calibration, targets are translated and rotated +# through the field of view. We can compute the total pose count: +cal_data = render.BlenderCalibrationData( + angle_lims=(-10.0, 10.0), + angle_step=5.0, + plunge_lims=(-5.0, 5.0), + plunge_step=5.0, +) +total_images = render.calibration_image_count(cal_data) +print(f"Standard calibration sweep image count: {total_images}") + +# %% +# The generated Pyvale calibration file is embedded below. +# +# .. literalinclude:: ../../_static/render3d_ex2d_blender_calibration.yaml +# :language: yaml +# :caption: Generated stereo camera calibration diff --git a/src/pyvale/examples/render3d/ex2e_blender_stereo_deformation.py b/src/pyvale/examples/render3d/ex2e_blender_stereo_deformation.py new file mode 100644 index 000000000..97fd80938 --- /dev/null +++ b/src/pyvale/examples/render3d/ex2e_blender_stereo_deformation.py @@ -0,0 +1,121 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +""" +Blender: Stereo Image Deformation +================================================================================ + +This example demonstrates how to render a time sequence of deformed stereo +DIC image pairs using Blender and the unified pyvale render API. The test case +is a mechanical analysis of a plate with a hole loaded in tension. + +Workflow: +1. Load simulation data, scale units, and create a textured surface mesh. +2. Select a subset of deformation timesteps for demonstration. +3. Create convergent stereo cameras and lighting. +4. Configure Blender with render_deformed=True. +5. Build Scene3D and render stereo deformation image sequences. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.render as render +from pyvale.mooseherder import ExodusLoader +from pyvale.sensorsim import scale_length_units + + +# %% +# 1. Load simulation data and build a textured surface mesh +# -------------------------------------------------------------------------- +data_path = dataset.render_mechanical_3d_path() +sim_data = ExodusLoader(data_path).load_all_sim_data() + +disp_keys = ("disp_x", "disp_y", "disp_z") +sim_data = scale_length_units(1000.0, sim_data, disp_keys) + +surface_mesh = render.mesh3d_from_simdata( + sim_data, + shader=None, + displacement_keys=disp_keys, +) + +# %% +# 2. Select deformation timesteps +# -------------------------------------------------------------------------- +# Slicing a 3 frame subset ([undeformed, mid load, peak load]) for fast +# tutorial execution. To render all simulation frames, omit this slice: +# surface_mesh.displacements = surface_mesh.displacements +if surface_mesh.displacements is not None: + surface_mesh.displacements = surface_mesh.displacements[[0, 5, -1]] + +# %% +# 3. Create convergent stereo cameras and lighting +# -------------------------------------------------------------------------- +cam_base = render.Camera( + pixels_num=np.array((1540, 1040)), + pixels_size=np.array((0.00345, 0.00345)), + pos_world=np.array((0.0, 0.0, 400.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=15.0, +) + +resolution = render.blender_mm_per_pixel(cam_base) +surface_mesh.shader = render.BlenderTextureShader( + image_path=dataset.dic_pattern_5mpx_path(), + millimetres_per_pixel=resolution, +) + +stereo_angle = 15.0 # degrees +stereo_cameras = render.stereo_build_faceon(cam_base, stereo_angle) + +light = render.Light( + light_type=render.ELightType.POINT, + pos_world=np.array((0.0, 0.0, 400.0)), + direction_world=np.zeros(3), + intensity=1.0, +) + +# %% +# 4. Configure Blender backend for stereo deformation +# -------------------------------------------------------------------------- +output_dir = ( + Path.cwd() / "pyvale-output" + / "render3d_ex2e_blender_stereo_deformation" +) +config = render.BlenderConfig( + output_dir=output_dir, + samples=4, + threads=8, + render_deformed=True, + save_images=True, + save_scene=True, +) +renderer = render.Blender(config) + +# %% +# 5. Build Scene3D and render stereo deformation frames +# -------------------------------------------------------------------------- +scene = render.Scene3D( + meshes=[surface_mesh], + cameras=stereo_cameras, + lights=[light], +) +result = renderer.render(scene) + +print(f"Rendered {len(result.output_paths)} stereo deformation images.") +print(f"Output saved to: {output_dir}") + +# %% +# The first frame from both cameras is combined side by side below. +# +# .. image:: ../../../../_static/render3d_ex2e_blender_stereo_deformation.png +# :alt: Blender stereo deformation render from both cameras +# :width: 900px +# :align: center diff --git a/src/pyvale/examples/render3d/ex2f_blender_calibration_target.py b/src/pyvale/examples/render3d/ex2f_blender_calibration_target.py new file mode 100644 index 000000000..f771380e2 --- /dev/null +++ b/src/pyvale/examples/render3d/ex2f_blender_calibration_target.py @@ -0,0 +1,107 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +""" +Blender: Calibration Target Render +================================================================================ + +This example demonstrates how to render a physical calibration target swept +through multiple positions, rotations, and depths in Blender to generate +synthetic calibration images for stereo DIC systems. + +Workflow: +1. Define the physical calibration target dimensions, texture, and resolution. +2. Construct convergent stereo cameras and lighting. +3. Configure target movement sweep limits and Blender backend settings. +4. Render the calibration image stack and inspect the generated TIFF files. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.render as render + + +# %% +# 1. Define calibration target geometry and texture +# -------------------------------------------------------------------------- +# Specify the target physical dimensions (width, height, thickness in mm). +target_size = np.array((150.0, 100.0, 10.0)) +target = render.BlenderCalibrationTarget( + size=target_size, + image_path=dataset.cal_target(), + millimetres_per_pixel=0.1, +) + +# %% +# 2. Create convergent stereo cameras and illumination +# -------------------------------------------------------------------------- +cam_base = render.Camera( + pixels_num=np.array((1540, 1040)), + pixels_size=np.array((0.00345, 0.00345)), + pos_world=np.array((0.0, 0.0, 400.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=15.0, +) + +stereo_angle = 15.0 # degrees +stereo_cameras = render.stereo_build_faceon(cam_base, stereo_angle) + +light = render.Light( + light_type=render.ELightType.POINT, + pos_world=np.array((0.0, 0.0, 200.0)), + direction_world=np.zeros(3), + intensity=1.0, +) + +# %% +# 3. Configure target pose sweep and Blender backend +# -------------------------------------------------------------------------- +output_dir = ( + Path.cwd() / "pyvale-output" + / "render3d_ex2f_blender_calibration_target" +) +config = render.BlenderConfig( + output_dir=output_dir, + samples=4, + threads=8, +) + +# Configure pose sweep limits. For this quick example, we cap at 10 images. +# To render a full calibration grid across FOV, omit max_images and specify +# broader angle and plunge limits (e.g. angle_lims=(-10, 10), step=5). +cal_data = render.BlenderCalibrationData( + angle_lims=(-5.0, 5.0), + angle_step=5.0, + plunge_lims=(-2.0, 2.0), + plunge_step=2.0, + max_images=10, +) + +# %% +# 4. Render calibration target images +# -------------------------------------------------------------------------- +result = render.render_calibration_images( + target=target, + cameras=stereo_cameras, + config=config, + data=cal_data, + lights=[light], +) + +print(f"Rendered {len(result.output_paths)} calibration TIFF images.") +print(f"Calibration images directory: {output_dir / 'calimages'}") + +# %% +# The first calibration pose from both cameras is combined side by side below. +# +# .. image:: ../../../../_static/render3d_ex2f_blender_calibration_target.png +# :alt: Blender calibration target render from both cameras +# :width: 900px +# :align: center diff --git a/src/pyvale/examples/renderuvs/README.md b/src/pyvale/examples/renderuvs/README.md new file mode 100644 index 000000000..59c8cfe0d --- /dev/null +++ b/src/pyvale/examples/renderuvs/README.md @@ -0,0 +1,4 @@ +# Render UV examples + +These examples generate nodal UV coordinates with the backend-neutral +`pyvale.render` API and render the mapped textures with Riley. diff --git a/src/pyvale/examples/renderuvs/__init__.py b/src/pyvale/examples/renderuvs/__init__.py new file mode 100644 index 000000000..bc52d58c4 --- /dev/null +++ b/src/pyvale/examples/renderuvs/__init__.py @@ -0,0 +1,6 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== +"""Support code for the documented Render UV examples.""" diff --git a/src/pyvale/examples/renderuvs/ex1a_uv_planar_axes.py b/src/pyvale/examples/renderuvs/ex1a_uv_planar_axes.py new file mode 100644 index 000000000..70dcd2dd7 --- /dev/null +++ b/src/pyvale/examples/renderuvs/ex1a_uv_planar_axes.py @@ -0,0 +1,254 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Render UVs: Intro and planar projection +================================================================================ + +This example maps a texture to a stereocalibration plate after orienting it in +the XY, YZ, and XZ planes. Then we map a speckle pattern onto the calibration +plate and scale it to the desired pixel/speckle resolution. + +UV coordinates are normalised to be between 0 and 1. UV=(0,0) indicates the +reference corner of the texture and UV=(1,1) is the far corner. The packaged +speckle texture is 2464x2056 pixels, so U=1 and V=1 address its far edges. + +For most DIC cases we have a component with a flat surface and want to project +a texture onto it. We generally know the feature size or pitch in the input +texture and either its required physical length or its desired size in the +final camera image. + +For off axis and stereo cameras the image scale is not constant over the field +of view. Here we use Riley's average scale on the camera normal plane through +the region of interest centre. + +The way to achieve this mapping and scaling is through specifying UVs which are +nodal attributes of the input mesh to be rendered. + +There are more advanced tools for mapping UVs to complex surfaces in Blender if +you need them. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render +from pyvale.examples.renderuvs.tools import render_uv_example + +# %% +# 1. Load the packaged three dimensional calibration plate +# ------------------------------------------------------------ +# The calibration plate is a TRI3 surface mesh with front, back, and side +# faces. + +data_dir = dataset.riley_stereocal_case_path() +simulation = io.MeshLoader( + load_dir=data_dir, + coords_file="coords.csv", + connect_files="connect.csv", + load_opts=io.SimLoadOpts(coord_header=None), +).load_mesh() + +base_mesh = render.mesh3d_from_simdata(simulation, shader=None) +cal_texture = render.image_load(dataset.riley_cal_target_texture_path()) + +mesh_center = render.mesh_center(base_mesh) + +# %% +# 2. Orient the plate in each axis aligned projection plane +# ------------------------------------------------------------ +# Each rotation moves the plate face into the requested world plane. UVs are +# then generated from the same plane, while an off axis camera reveals +# the plate thickness and its physical orientation. + +yz_mesh_rotation = Rotation.from_euler( + "xyz", + (90.0, 0.0, 90.0), + degrees=True, +) + +yz_camera_rotation = yz_mesh_rotation * Rotation.from_euler( + "y", + 10.0, + degrees=True, +) + +xz_mesh_rotation = Rotation.from_euler("x", 90.0, degrees=True) +xz_camera_rotation = xz_mesh_rotation * Rotation.from_euler( + "x", + -10.0, + degrees=True, +) + +variants = ( + ( + "xy", + render.EUVPlane.XY, + Rotation.identity(), + Rotation.from_euler("y", 10.0, degrees=True), + ), + ( + "yz", + render.EUVPlane.YZ, + yz_mesh_rotation, + yz_camera_rotation, + ), + ( + "xz", + render.EUVPlane.XZ, + xz_mesh_rotation, + xz_camera_rotation, + ), +) + +# %% +# 3. Map a calibration target using its physical feature pitch +# ------------------------------------------------------------ +# The packaged target has a measured 177.1 texture pixels per dot pitch. We +# request a physical pitch of 1.25 mm in the simulation coordinate units. +# ``uv_map_planar_scaled`` therefore preserves the experimental target scale +# rather than fitting the texture arbitrarily to the mesh. + +output_dir = Path.cwd() / "pyvale-output" / "renderuvs_ex1a_uv_planar_axes" +texture_px_per_feature_pitch = 177.1 +feature_pitch = 1.25e-3 +texture_px_per_leng = render.uv_calc_texture_px_per_leng( + texture_px_per_feature_pitch, + feature_pitch, +) + +for variant_name, projection_plane, mesh_rotation, camera_rotation in variants: + oriented_mesh = render.mesh_rotate( + base_mesh, + mesh_rotation, + pivot=mesh_center, + ) + + camera = render.Camera( + pixels_num=np.array((1792, 1120)), + pixels_size=np.array((5.5e-6, 5.5e-6)), + pos_world=np.zeros(3), + rot_world=camera_rotation, + roi_cent_world=render.mesh_center(oriented_mesh), + focal_length=35.0e-3, + subsample=4, + ) + camera = render.cam_frame_mesh( + camera, + oriented_mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.90), + ) + + mapping = render.uv_map_planar_scaled( + oriented_mesh.coords, + cal_texture, + texture_px_per_leng, + plane=projection_plane, + ) + + textured_mesh = render.Mesh3D( + element_type=oriented_mesh.element_type, + coords=oriented_mesh.coords, + connectivity=oriented_mesh.connectivity, + shader=render.RileyTextureShader( + uvs=mapping.uvs, + texture=mapping.texture, + ), + ) + + render_uv_example(textured_mesh, camera, output_dir / variant_name) + +# %% +# The XY, YZ, and XZ projection cases are shown from left to right. Their +# matching physical dot pitch makes differences caused by the projection plane +# easy to compare. +# +# .. image:: ../../_static/renderuvs_ex1a_uv_planar_axes_axes.png +# :alt: Three dimensional calibration plate with XY, YZ, and XZ UV maps +# :width: 900px +# :align: center + +# %% +# 4. Map a speckle texture to a desired final feature size +# ------------------------------------------------------------ +# The packaged speckle pattern has a nominal feature size of five texture +# pixels. We also request five image pixels per feature in the rendered image. +# The camera scale at the ROI connects these two pixel spaces through physical +# simulation length. +speckle_texture = render.image_load(dataset.riley_speckle_texture_path()) + +speckle_mesh = base_mesh + +speckle_camera = render.Camera( + pixels_num=np.array((1792, 1120)), + pixels_size=np.array((5.5e-6, 5.5e-6)), + pos_world=np.zeros(3), + rot_world=Rotation.from_euler("y", 10.0, degrees=True), + roi_cent_world=render.mesh_center(speckle_mesh), + focal_length=35.0e-3, + subsample=4, +) + +speckle_camera = render.cam_frame_mesh( + speckle_camera, + speckle_mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.90), +) + +image_leng_per_px = render.cam_calc_leng_per_px(speckle_camera) +texture_px_per_feature_size = 5.0 +desired_image_px_per_feature_size = 5.0 + +speckle_texture_px_per_leng = render.uv_calc_texture_px_per_leng_from_image( + texture_px_per_feature_size, + desired_image_px_per_feature_size, + image_leng_per_px, +) + +speckle_mapping = render.uv_map_planar_scaled( + speckle_mesh.coords, + speckle_texture, + speckle_texture_px_per_leng, + bounds=render.EUVBounds.TILED, +) + +speckled_mesh = render.Mesh3D( + element_type=speckle_mesh.element_type, + coords=speckle_mesh.coords, + connectivity=speckle_mesh.connectivity, + shader=render.RileyTextureShader( + uvs=speckle_mapping.uvs, + texture=speckle_mapping.texture, + ), +) + +render_uv_example(speckled_mesh, speckle_camera, output_dir / "speckle") + +feature_size = render.uv_calc_feature_leng( + desired_image_px_per_feature_size, + image_leng_per_px, +) + +print( + f"Speckle feature size={feature_size:.6g}, " + f"image scale={image_leng_per_px:.6g} length/px, " + f"target={desired_image_px_per_feature_size:.1f} px/feature" +) + +print(f"Rendered axis aligned UV projections to {output_dir}") + +# %% +# The speckle render is a separate experimental workflow: its scale comes from +# the requested five image pixels per feature rather than calibration dot +# pitch, so it is shown separately from the projection plane comparison. +# +# .. image:: ../../_static/renderuvs_ex1a_uv_planar_axes_speckle.png +# :alt: Camera scaled speckle texture on a calibration plate +# :width: 500px +# :align: center diff --git a/src/pyvale/examples/renderuvs/ex1b_uv_texture_aspect.py b/src/pyvale/examples/renderuvs/ex1b_uv_texture_aspect.py new file mode 100644 index 000000000..2ca46558a --- /dev/null +++ b/src/pyvale/examples/renderuvs/ex1b_uv_texture_aspect.py @@ -0,0 +1,207 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Render UVs: Texture aspect and fit modes +================================================================================ + +This example compares planar texture fitting when the mesh and UV axes are +aligned, then repeats the comparison after rotating the mesh while leaving the +UV axes fixed in the camera frame. This separates texture aspect effects from +the effect of projecting an oblique target onto fixed UV axes. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render +from pyvale.examples.renderuvs.tools import render_uv_example + +# %% +# 1. Load the packaged three dimensional calibration plate +# ------------------------------------------------------------ + +data_dir = dataset.riley_stereocal_case_path() +simulation = io.MeshLoader( + load_dir=data_dir, + coords_file="coords.csv", + connect_files="connect.csv", + load_opts=io.SimLoadOpts(coord_header=None), +).load_mesh() + +base_mesh = render.mesh3d_from_simdata(simulation, shader=None) + +texture = render.image_load(dataset.riley_cal_target_texture_path()) + +# %% +# 2. Define the three aspect preserving fit modes +# ------------------------------------------------------------ +# ``CONTAIN`` preserves the complete projected target while respecting the +# texture aspect ratio. ``FIT_U`` spans the texture width and derives V from +# the same scale; ``FIT_V`` spans its height and derives U. The latter two can +# therefore extend outside the unit texture square when the projection and +# texture have different aspect ratios. + +fit_modes = ( + ("contain", render.EUVFit.CONTAIN), + ("fit_u", render.EUVFit.FIT_U), + ("fit_v", render.EUVFit.FIT_V), +) + +# %% +# 3. Build aligned and rotated target cases +# ------------------------------------------------------------ +# The aligned plate lies in the camera XY plane, so its physical axes and the +# planar UV axes coincide. The rotated plate is oblique, but UV projection is +# still performed in world XY (the camera frame), making the axis mismatch +# visible in the calibration grid. +aligned_mesh = base_mesh +rotated_mesh = render.mesh_rotate( + base_mesh, + Rotation.from_euler("xyz", (0.0, 24.0, 8.0), degrees=True), + pivot=render.mesh_center(base_mesh), +) + +# %% +# 4. Render both three mode comparisons +# ------------------------------------------------------------ +output_dir = Path.cwd() / "pyvale-output" / "renderuvs_ex1b_uv_texture_aspect" + +for orientation_name, mesh in ( + ("aligned", aligned_mesh), + ("rotated", rotated_mesh), +): + camera = render.Camera( + pixels_num=np.array((1792, 1120)), + pixels_size=np.array((5.5e-6, 5.5e-6)), + pos_world=np.zeros(3), + rot_world=Rotation.identity(), + roi_cent_world=render.mesh_center(mesh), + focal_length=35.0e-3, + subsample=4, + ) + camera = render.cam_frame_mesh( + camera, + mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.90), + ) + + for fit_name, fit_mode in fit_modes: + uvs = render.uv_project_planar( + mesh.coords, + texture_shape=texture.shape[:2], + fit=fit_mode, + ) + + textured_mesh = render.Mesh3D( + element_type=mesh.element_type, + coords=mesh.coords, + connectivity=mesh.connectivity, + shader=render.RileyTextureShader(uvs=uvs, texture=texture), + ) + + render_uv_example( + textured_mesh, + camera, + output_dir / orientation_name / fit_name, + ) + +# %% +# 5. Compare with a physically specified calibration dot pitch +# ------------------------------------------------------------ +# Unlike the automatic fit modes, this mapping fixes the experimental scale at +# 1.25 mm per dot pitch using the measured 177.1 texture pixels per pitch. Its +# oblique XY projection slightly exceeds the source texture, so the default +# ``SATURATE`` policy clips those UVs and emits an explicit warning. + +texture_px_per_leng = render.uv_calc_texture_px_per_leng( + texture_px_per_feature=177.1, + feature_leng=1.25e-3, +) + +physical_mapping = render.uv_map_planar_scaled( + rotated_mesh.coords, + texture, + texture_px_per_leng, +) + +physical_mesh = render.Mesh3D( + element_type=rotated_mesh.element_type, + coords=rotated_mesh.coords, + connectivity=rotated_mesh.connectivity, + shader=render.RileyTextureShader( + uvs=physical_mapping.uvs, + texture=physical_mapping.texture, + ), +) + +physical_camera = render.Camera( + pixels_num=np.array((1792, 1120)), + pixels_size=np.array((5.5e-6, 5.5e-6)), + pos_world=np.zeros(3), + rot_world=Rotation.identity(), + roi_cent_world=render.mesh_center(rotated_mesh), + focal_length=35.0e-3, + subsample=4, +) + +physical_camera = render.cam_frame_mesh( + physical_camera, + rotated_mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.90), +) + +render_uv_example( + physical_mesh, + physical_camera, + output_dir / "physical_pitch", +) + +image_leng_per_px = render.cam_calc_leng_per_px(physical_camera) + +image_px_per_feature_pitch = render.uv_calc_image_px_per_feature( + 1.25e-3, + image_leng_per_px, +) + +print( + "Physical pitch mapping predicts " + f"{image_px_per_feature_pitch:.2f} image px/dot pitch at the ROI" +) + +print(f"Rendered UV fit variants to {output_dir}") + +# %% +# For the aligned target, contain, fit U, and fit V are shown from left to +# right. The target and UV axes coincide, so this row isolates the behaviour of +# the three aspect preserving fit policies. +# +# .. image:: ../../_static/renderuvs_ex1b_uv_texture_aspect_aligned.png +# :alt: Contain, fit U, and fit V mappings on an axis aligned plate +# :width: 1000px +# :align: center + +# %% +# The same contain, fit U, and fit V order is repeated after rotating the +# physical target. The UV projection axes remain fixed in the camera frame, so +# the grid now exposes the mismatch between target and UV axes. +# +# .. image:: ../../_static/renderuvs_ex1b_uv_texture_aspect_rotated.png +# :alt: Contain, fit U, and fit V mappings on an oblique plate +# :width: 1000px +# :align: center + +# %% +# Finally, the physically scaled mapping fixes the dot pitch instead of fitting +# the source image to either projected extent. +# +# .. image:: ../../_static/renderuvs_ex1b_uv_texture_aspect_physical_pitch.png +# :alt: Physically pitched calibration texture on an oblique plate +# :width: 500px +# :align: center diff --git a/src/pyvale/examples/renderuvs/ex1c_uv_pixel_region.py b/src/pyvale/examples/renderuvs/ex1c_uv_pixel_region.py new file mode 100644 index 000000000..ac69010b4 --- /dev/null +++ b/src/pyvale/examples/renderuvs/ex1c_uv_pixel_region.py @@ -0,0 +1,163 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Render UVs: Compare texture boundary modes +================================================================================ + +Here we map a three dimensional plate with hole mesh beyond a source texture's +pixel bounds. We compare a seamless periodic texture, a non periodic texture +whose repeated edges form a seam, and the default saturated boundary mode. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render +from pyvale.examples.renderuvs.tools import render_uv_example + +# %% +# 1. Load and orient the packaged plate with hole mesh +# ------------------------------------------------------------ +# The native PyVale CSV loader provides the three dimensional surface mesh. +# Rotating about its centre makes the hole and exposed side edges legible. +data_dir = dataset.riley_platehole_csv_case_path() +simulation = io.MeshLoader( + load_dir=data_dir, + coords_file="coords.csv", + connect_files="connect.csv", + load_opts=io.SimLoadOpts(coord_header=None), +).load_mesh() + +base_mesh = render.mesh3d_from_simdata(simulation, shader=None) + +oriented_mesh = render.mesh_rotate( + base_mesh, + Rotation.from_euler("xyz", (0.0, 22.0, 8.0), degrees=True), + pivot=render.mesh_center(base_mesh), +) + +# %% +# 2. Build the experimental camera and calculate its image scale +# ---------------------------------------------------------------------- +camera = render.Camera( + pixels_num=np.array((1792, 1120)), + pixels_size=np.array((5.5e-6, 5.5e-6)), + pos_world=np.zeros(3), + rot_world=Rotation.identity(), + roi_cent_world=render.mesh_center(oriented_mesh), + focal_length=35.0e-3, + subsample=4, +) + +camera = render.cam_frame_mesh( + camera, + oriented_mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.90), +) + +image_leng_per_px = render.cam_calc_leng_per_px(camera) + +# %% +# 3. Build periodic and non periodic source textures +# ---------------------------------------------------------------------- +# A periodic checker repeats without a seam. A horizontal ramp is deliberately +# non periodic: its bright right edge meets its dark left edge when tiled, so +# the boundary is unmistakable in the rendered result. +tile_size = 128 +tile_columns, tile_rows = np.meshgrid( + np.arange(tile_size), + np.arange(tile_size), +) +checker = ((tile_columns // 16 + tile_rows // 16) % 2) * 190 + 32 +seamless_texture = checker.astype(np.uint8) +ramp = np.linspace(24, 232, 256, dtype=np.uint8) +nonperiodic_texture = np.tile(ramp, (tile_size, 1)) + +# %% +# 4. Define a physical feature size and cross the texture boundary +# ---------------------------------------------------------------------- +# The checker has 16 texture pixels per square. Requesting 16 image pixels per +# square and using the camera scale defines its physical size. Moving the +# mapping centre close to the right edge guarantees that the plate crosses a +# boundary in both the tiled and saturated cases. +texture_px_per_leng = render.uv_calc_texture_px_per_leng_from_image( + texture_px_per_feature=16.0, + image_px_per_feature=16.0, + image_leng_per_px=image_leng_per_px, +) +nonperiodic_height, nonperiodic_width = nonperiodic_texture.shape[:2] + +seamless_mapping = render.uv_map_planar_scaled( + oriented_mesh.coords, + seamless_texture, + texture_px_per_leng, + plane=render.EUVPlane.XY, + texture_center_px=np.array((0.90 * tile_size, 0.50 * tile_size)), + bounds=render.EUVBounds.TILED, +) + +seamed_mapping = render.uv_map_planar_scaled( + oriented_mesh.coords, + nonperiodic_texture, + texture_px_per_leng, + plane=render.EUVPlane.XY, + texture_center_px=np.array( + (0.90 * nonperiodic_width, 0.50 * nonperiodic_height) + ), + bounds=render.EUVBounds.TILED, +) + +saturated_mapping = render.uv_map_planar_scaled( + oriented_mesh.coords, + nonperiodic_texture, + texture_px_per_leng, + plane=render.EUVPlane.XY, + texture_center_px=np.array( + (0.90 * nonperiodic_width, 0.50 * nonperiodic_height) + ), +) + +# %% +# 5. Render the three texture boundary cases +# ---------------------------------------------------------------------- +output_dir = Path.cwd() / "pyvale-output" / "renderuvs_ex1c_uv_pixel_region" + +for variant_name, mapping in ( + ("seamless", seamless_mapping), + ("tiled_seam", seamed_mapping), + ("saturated", saturated_mapping), +): + textured_mesh = render.Mesh3D( + element_type=oriented_mesh.element_type, + coords=oriented_mesh.coords, + connectivity=oriented_mesh.connectivity, + shader=render.RileyTextureShader( + uvs=mapping.uvs, + texture=mapping.texture, + ), + ) + render_uv_example(textured_mesh, camera, output_dir / variant_name) + +print(f"Rendered the texture boundary comparisons to {output_dir}") +print( + f"Image scale={image_leng_per_px:.6g} length/px, " + f"seamless tiles={seamless_mapping.tile_counts}, " + f"non periodic tiles={seamed_mapping.tile_counts}" +) + +# %% +# From left to right: a periodic texture tiles seamlessly, a non periodic source +# exposes its repeated edge, and saturation stretches the edge pixels wherever +# the requested mapping lies beyond the source image. +# +# .. image:: ../../_static/renderuvs_ex1c_uv_pixel_region.png +# :alt: Seamless, visibly seamed, and saturated texture boundary modes +# :width: 900px +# :align: center diff --git a/src/pyvale/examples/renderuvs/ex1d_uv_arbitrary_plane.py b/src/pyvale/examples/renderuvs/ex1d_uv_arbitrary_plane.py new file mode 100644 index 000000000..472f1fa0e --- /dev/null +++ b/src/pyvale/examples/renderuvs/ex1d_uv_arbitrary_plane.py @@ -0,0 +1,122 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Render UVs: Projection onto an arbitrary plane +================================================================================ + +This example rotates the packaged three dimensional calibration plate and +generates UVs from its rotated local surface plane. The plate thickness and an +oblique camera view make the arbitrary physical orientation clear. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render +from pyvale.examples.renderuvs.tools import render_uv_example + +# %% +# 1. Load and tilt the three dimensional calibration plate +# ------------------------------------------------------------ +data_dir = dataset.riley_stereocal_case_path() +simulation = io.MeshLoader( + load_dir=data_dir, + coords_file="coords.csv", + connect_files="connect.csv", + load_opts=io.SimLoadOpts(coord_header=None), +).load_mesh() + +base_mesh = render.mesh3d_from_simdata(simulation, shader=None) +plate_rotation = Rotation.from_euler("xyz", (28.0, -34.0, 12.0), degrees=True) + +oriented_mesh = render.mesh_rotate( + base_mesh, + plate_rotation, + pivot=render.mesh_center(base_mesh), +) + +# %% +# 2. Define the rotated surface plane and generate UV coordinates +# ---------------------------------------------------------------------- +# The original plate face lies in XY. Rotating its normal and local V axis +# provides the arbitrary plane definition without manually deriving a basis. +plane = render.UVPlane( + normal=plate_rotation.apply(np.array((0.0, 0.0, 1.0))), + origin=render.mesh_center(oriented_mesh), + up=plate_rotation.apply(np.array((0.0, 1.0, 0.0))), +) + +texture = render.image_load(dataset.riley_cal_target_texture_path()) + +texture_px_per_leng = render.uv_calc_texture_px_per_leng( + texture_px_per_feature=177.1, + feature_leng=1.25e-3, +) + +mapping = render.uv_map_planar_scaled( + oriented_mesh.coords, + texture, + texture_px_per_leng, + plane=plane, +) + +textured_mesh = render.Mesh3D( + element_type=oriented_mesh.element_type, + coords=oriented_mesh.coords, + connectivity=oriented_mesh.connectivity, + shader=render.RileyTextureShader( + uvs=mapping.uvs, + texture=mapping.texture, + ), +) + +# %% +# 3. Render the arbitrary plane mapping +# ---------------------------------------------------------------------- + +output_dir = Path.cwd() / "pyvale-output" / "renderuvs_ex1d_uv_arbitrary_plane" + +camera = render.Camera( + pixels_num=np.array((1792, 1120)), + pixels_size=np.array((5.5e-6, 5.5e-6)), + pos_world=np.zeros(3), + rot_world=Rotation.identity(), + roi_cent_world=render.mesh_center(oriented_mesh), + focal_length=35.0e-3, + subsample=4, +) + +camera = render.cam_frame_mesh( + camera, + oriented_mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.90), +) + +render_uv_example(textured_mesh, camera, output_dir / "tilted") + +image_leng_per_px = render.cam_calc_leng_per_px(camera) +image_px_per_feature_pitch = render.uv_calc_image_px_per_feature( + 1.25e-3, + image_leng_per_px, +) + +print(f"Rendered the arbitrary plane UV mapping to {output_dir}") +print( + f"The 1.25 mm feature pitch is approximately " + f"{image_px_per_feature_pitch:.2f} px at the ROI" +) + +# %% +# The tilted calibration plate is mapped using its rotated local surface plane. +# +# .. image:: ../../_static/renderuvs_ex1d_uv_arbitrary_plane.png +# :alt: Oblique three dimensional calibration plate with arbitrary plane UVs +# :width: 500px +# :align: center diff --git a/src/pyvale/examples/renderuvs/ex1e_uv_transform.py b/src/pyvale/examples/renderuvs/ex1e_uv_transform.py new file mode 100644 index 000000000..463636c39 --- /dev/null +++ b/src/pyvale/examples/renderuvs/ex1e_uv_transform.py @@ -0,0 +1,127 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Render UVs: Translate, rotate, and scale a mapping +================================================================================ + +Here we retain the asymmetric Riley rabbit mesh, generate a centred mapping, +and apply a combined UV transformation. The physical rabbit is rendered from +an oblique view so its three dimensional form remains visible. +""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +from pyvale import render +from pyvale.examples.renderuvs.tools import render_uv_example + +# %% +# 1. Load and orient the packaged Riley rabbit mesh +# ------------------------------------------------------------ +# The asymmetric rabbit makes UV rotations and translations easier to recognise +# than a rectangular plate, so it remains the best mesh for this comparison. + +data_dir = dataset.riley_rabbit_case_path("riley", render.EElementType.QUAD4) + +simulation = io.MeshLoader( + load_dir=data_dir, + coords_file="coords.csv", + connect_files="connectivity.csv", + load_opts=io.SimLoadOpts(coord_header=None), +).load_mesh() + +base_mesh = render.mesh3d_from_simdata(simulation, shader=None) + +oriented_mesh = render.mesh_rotate( + base_mesh, + Rotation.from_euler("xyz", (8.0, -24.0, 0.0), degrees=True), + pivot=render.mesh_center(base_mesh), +) + +texture = render.image_load(dataset.riley_cal_target_texture_path()) + +camera = render.Camera( + pixels_num=np.array((1792, 1120)), + pixels_size=np.array((5.5e-6, 5.5e-6)), + pos_world=np.zeros(3), + rot_world=Rotation.identity(), + roi_cent_world=render.mesh_center(oriented_mesh), + focal_length=35.0e-3, + subsample=4, +) + +camera = render.cam_frame_mesh( + camera, + oriented_mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.90), +) + +# %% +# 2. Fit one calibration target over the rabbit +# ------------------------------------------------------------ +# ``CONTAIN`` preserves the calibration texture's aspect ratio and fits one +# complete target inside the rabbit's planar XY extent. This keeps the grid +# legible and avoids repeating the calibration image across the mesh. + +original_uvs = render.uv_project_planar( + oriented_mesh.coords, + texture_shape=texture.shape[:2], + fit=render.EUVFit.CONTAIN, +) + +# %% +# 3. Apply a combined transformation +# ------------------------------------------------------------ +# Scaling and rotation happen about the selected pivot. Translation is applied +# last, and transformed UVs are allowed to extend outside the texture bounds. + +transform = render.UVTransform( + translation=(0.08, -0.04), + rotation_degrees=18.0, + scale=(0.85, 0.85), + pivot=(0.5, 0.5), +) + +transformed_uvs = render.uv_transform(original_uvs, transform) + +# %% +# 4. Render the original and transformed mappings +# ------------------------------------------------------------ +output_dir = Path.cwd() / "pyvale-output" / "renderuvs_ex1e_uv_transform" + +for variant_name, uvs in ( + ("original", original_uvs), + ("transformed", transformed_uvs), +): + textured_mesh = render.Mesh3D( + element_type=oriented_mesh.element_type, + coords=oriented_mesh.coords, + connectivity=oriented_mesh.connectivity, + shader=render.RileyTextureShader( + uvs=uvs, + texture=texture, + ), + ) + render_uv_example(textured_mesh, camera, output_dir / variant_name) + +print(f"Rendered the original and combined UV transform to {output_dir}") +print( + "One complete calibration target is fitted to the rabbit; the transformed " + "grid makes the rotation, translation, and scale visually explicit" +) + +# %% +# The original mapping is on the left and the combined transformed variant is +# on the right. +# +# .. image:: ../../_static/renderuvs_ex1e_uv_transform.png +# :alt: Original and transformed UV mappings on a three dimensional rabbit +# :width: 900px +# :align: center diff --git a/src/pyvale/examples/renderuvs/tools.py b/src/pyvale/examples/renderuvs/tools.py new file mode 100644 index 000000000..4d9a79169 --- /dev/null +++ b/src/pyvale/examples/renderuvs/tools.py @@ -0,0 +1,33 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== +"""Shared rendering setup for documented Render UV examples.""" + +from pathlib import Path + +import riley + +from pyvale import render + + +def render_uv_example( + mesh: render.Mesh3D, + camera: render.Camera, + output_dir: Path, +) -> render.RenderResult: + """Render one prepared textured mesh and camera for the UV examples.""" + + config = riley.create_raster_config( + num_frames=1, + total_threads=4, + save_strategy=riley.SaveStrategy.disk, + ) + config.background_value = 128.0 + renderer = render.Riley(config, output_dir) + scene = render.Scene3D(meshes=[mesh], cameras=[camera]) + return renderer.render(scene) + + +__all__ = ["render_uv_example"] diff --git a/src/pyvale/examples/valid/ex1_load_exp_data.py b/src/pyvale/examples/valid/ex1_load_exp_data.py index 01a0ea0fc..0a2e84120 100644 --- a/src/pyvale/examples/valid/ex1_load_exp_data.py +++ b/src/pyvale/examples/valid/ex1_load_exp_data.py @@ -7,7 +7,7 @@ from pathlib import Path import numpy as np -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.dataio as io import pyvale.valid as val diff --git a/src/pyvale/examples/valid/ex2_load_prob_sim_data.py b/src/pyvale/examples/valid/ex2_load_prob_sim_data.py index dc81aaa86..adb384868 100644 --- a/src/pyvale/examples/valid/ex2_load_prob_sim_data.py +++ b/src/pyvale/examples/valid/ex2_load_prob_sim_data.py @@ -7,7 +7,7 @@ from pathlib import Path import numpy as np -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.dataio as io import pyvale.valid as val diff --git a/src/pyvale/examples/valid/ex3_cdfs.py b/src/pyvale/examples/valid/ex3_cdfs.py index e24814436..9289217c5 100644 --- a/src/pyvale/examples/valid/ex3_cdfs.py +++ b/src/pyvale/examples/valid/ex3_cdfs.py @@ -7,7 +7,7 @@ from pathlib import Path import numpy as np -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.dataio as io import pyvale.valid as val diff --git a/src/pyvale/examples/visualisation/ex1_visualisation_options.py b/src/pyvale/examples/visualisation/ex1_visualisation_options.py index 4ca915308..f29bec565 100644 --- a/src/pyvale/examples/visualisation/ex1_visualisation_options.py +++ b/src/pyvale/examples/visualisation/ex1_visualisation_options.py @@ -17,7 +17,7 @@ # Pyvale imports import pyvale.sensorsim as sens import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset #%% diff --git a/src/pyvale/mooseherder/__init__.py b/src/pyvale/mooseherder/__init__.py index 72f625e5e..6dba3eb0b 100644 --- a/src/pyvale/mooseherder/__init__.py +++ b/src/pyvale/mooseherder/__init__.py @@ -14,6 +14,7 @@ from .sweeploader import SweepLoader from .mooseconfig import MooseConfig from .sweeptools import sweep_param_grid +from .availability import BackendAvailability, gmsh_availability, moose_availability __all__ = [ "InputModifier", @@ -26,4 +27,7 @@ "SweepLoader", "MooseConfig", "sweep_param_grid", + "BackendAvailability", + "gmsh_availability", + "moose_availability", ] diff --git a/src/pyvale/mooseherder/availability.py b/src/pyvale/mooseherder/availability.py new file mode 100644 index 000000000..267ece4fe --- /dev/null +++ b/src/pyvale/mooseherder/availability.py @@ -0,0 +1,69 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Availability checks for optional MOOSE and Gmsh executables.""" + +from dataclasses import dataclass +import os +from pathlib import Path +import shutil + + +@dataclass(frozen=True, slots=True) +class BackendAvailability: + """Availability state and actionable diagnostic for one external backend. + + Parameters + ---------- + available : bool + Whether the executable is available and executable. + executable : pathlib.Path or None + Resolved executable path when one was found. + reason : str or None + Explanation supplied when ``available`` is ``False``. + """ + + available: bool + executable: Path | None + reason: str | None = None + + +def moose_availability(config: dict[str, Path | str]) -> BackendAvailability: + """Check that the MOOSE application configured for a runner is executable.""" + app_path = Path(config["app_path"]) + app_name = Path(str(config["app_name"])) + executable = app_name if app_name.is_absolute() else app_path / app_name + return _availability_for_path("MOOSE", executable) + + +def gmsh_availability(gmsh_path: Path | None = None) -> BackendAvailability: + """Find an explicit Gmsh executable or resolve ``gmsh`` from ``PATH``.""" + if gmsh_path is not None: + return _availability_for_path("Gmsh", gmsh_path) + resolved = shutil.which("gmsh") + if resolved is None: + return BackendAvailability( + False, + None, + "Gmsh was not found on PATH. Install Gmsh or configure its path.", + ) + return _availability_for_path("Gmsh", Path(resolved)) + + +def _availability_for_path(name: str, executable: Path) -> BackendAvailability: + """Return availability for one explicit executable path.""" + if not executable.is_file(): + return BackendAvailability( + False, + None, + f"{name} executable was not found: {executable}", + ) + if not os.access(executable, os.X_OK): + return BackendAvailability( + False, + executable, + f"{name} executable is not executable: {executable}", + ) + return BackendAvailability(True, executable) diff --git a/src/pyvale/mooseherder/exodusloader.py b/src/pyvale/mooseherder/exodusloader.py index a66d3ff81..ae3d7d6ed 100644 --- a/src/pyvale/mooseherder/exodusloader.py +++ b/src/pyvale/mooseherder/exodusloader.py @@ -25,7 +25,7 @@ import netCDF4 as nc import numpy as np from pyvale.dataio.simdata import SimData, SimLoadConfig -from pyvale.dataio.meshtools import enforce_mesh_convention +from pyvale.dataio.meshconv import enforce_mesh_convention from pyvale.mooseherder.outputloader import IOutputLoader @@ -85,7 +85,12 @@ def get_names(self, key: str | None) -> np.ndarray | None: if key not in self._data.variables or key is None: return None - return nc.chartostring(np.array(self._data.variables[key][:])) + # netCDF4's chartostring triggers NumPy's deprecated in-place shape + # setting, so the character-to-string conversion is done here with a + # view and decode instead. + raw = np.array(self._data.variables[key][:]) + chars = raw.view(f"S{raw.shape[-1]}").reshape(raw.shape[:-1]) + return np.char.decode(chars, "utf-8") def get_var(self, key: str, time_inds: np.ndarray | None = None @@ -753,6 +758,8 @@ def load_sim_data(self, and data.coords is not None): data = enforce_mesh_convention(data) + data.refresh_mesh_type() + return data diff --git a/src/pyvale/mooseherder/gmshrunner.py b/src/pyvale/mooseherder/gmshrunner.py index 08d9a0706..3e37df50c 100644 --- a/src/pyvale/mooseherder/gmshrunner.py +++ b/src/pyvale/mooseherder/gmshrunner.py @@ -7,6 +7,7 @@ import subprocess from pathlib import Path from pyvale.mooseherder.simrunner import SimRunner +from pyvale.mooseherder.availability import BackendAvailability, gmsh_availability class GmshRunner(SimRunner): @@ -52,6 +53,19 @@ def set_gmsh_app(self, gmsh_app: Path) -> None: # type: ignore self._gmsh_app = gmsh_app + def availability(self) -> BackendAvailability: + """Return whether configured or PATH-resolved Gmsh is executable.""" + return gmsh_availability(self._gmsh_app) + + def verify_input(self) -> Path: + """Validate Gmsh and its ``.geo`` input before process creation.""" + availability = self.availability() + if not availability.available: + raise RuntimeError(availability.reason) + if self._input_path is None: + raise RuntimeError("Specify input *.geo file before running gmsh.") + return availability.executable # type: ignore + def get_input_file(self) -> Path | None: """get_input_path: the path to the input file to run gmsh with. @@ -59,7 +73,7 @@ def get_input_file(self) -> Path | None: Returns ------- Path | None - path to the gmsh *.geo file. + path to the gmsh ``*.geo`` file. """ return self._input_path @@ -71,7 +85,7 @@ def set_input_file(self, input_path: Path) -> None: Parameters ---------- input_file : Path - Full path to the gmsh *.geo input file. + Full path to the gmsh ``*.geo`` input file. Returns ------- @@ -121,13 +135,9 @@ def run(self, input_file: Path | None = None, parse_only: bool = True) -> None: if input_file is not None: self.set_input_file(input_file) - if self._gmsh_app is None: - raise RuntimeError("Specify the full path to the gmsh app before calling run.") + executable = self.verify_input() - if self._input_path is None: - raise RuntimeError("Specify input *.geo file before running gmsh.") - - arg_list = [str(self._gmsh_app)] + arg_list = [str(executable)] if parse_only is True: arg_list = arg_list+["-parse_and_exit"] @@ -155,4 +165,3 @@ def get_output_path(self) -> Path | None: """ return None - diff --git a/src/pyvale/mooseherder/inputmodifier.py b/src/pyvale/mooseherder/inputmodifier.py index 01dce85be..af2720222 100644 --- a/src/pyvale/mooseherder/inputmodifier.py +++ b/src/pyvale/mooseherder/inputmodifier.py @@ -26,7 +26,7 @@ def __init__( ) -> None: """Initialise the class by reading in the input file. Find and read any variables that are at the top of the file. Default comment_char - and end_char are set based on reading MOOSE *.i files. + and end_char are set based on reading MOOSE ``*.i`` files. Parameters diff --git a/src/pyvale/mooseherder/mooserunner.py b/src/pyvale/mooseherder/mooserunner.py index cacb63218..711e8f7ff 100644 --- a/src/pyvale/mooseherder/mooserunner.py +++ b/src/pyvale/mooseherder/mooserunner.py @@ -8,10 +8,11 @@ from pathlib import Path from pyvale.mooseherder.simrunner import SimRunner from pyvale.mooseherder.mooseconfig import MooseConfig +from pyvale.mooseherder.availability import BackendAvailability, moose_availability class MooseRunner(SimRunner): - """Used to run MOOSE models (*.i) from python.""" + """Used to run MOOSE models (``*.i``) from python.""" __slots__ = ("_config","_n_threads","_n_tasks","_redirect_stdout", "_arg_list","_input_path") @@ -46,8 +47,22 @@ def set_env_vars(self) -> None: os.environ['F77'] = 'mpif77' os.environ['FC'] = 'mpif90' os.environ['MOOSE_DIR'] = str(self._config['main_path']) - if str(self._config['app_path']) not in os.environ["PATH"]: - os.environ["PATH"] = os.environ["PATH"] + ':' + str(self._config['app_path']) + app_path = str(self._config['app_path']) + path_value = os.environ.get("PATH", "") + if app_path not in path_value: + os.environ["PATH"] = path_value + os.pathsep + app_path + + def availability(self) -> BackendAvailability: + """Return whether the configured MOOSE application can be executed.""" + return moose_availability(self._config) + + def verify_input(self) -> None: + """Validate executable and input-file state before launching MOOSE.""" + availability = self.availability() + if not availability.available: + raise RuntimeError(availability.reason) + if self._input_path is None: + raise RuntimeError("Set input path before calling run.") def set_threads(self, n_threads: int) -> None: """Sets the number of threads asked of MOOSE on the command line. @@ -151,7 +166,7 @@ def set_input_file(self, input_path: Path) -> None: Parameters ---------- input_file : Path - full path and name of *.i MOOSE input script. + full path and name of ``*.i`` MOOSE input script. Returns ------- @@ -260,7 +275,10 @@ def assemble_arg_list(self, input_file = None) -> list[str]: self.set_input_file(input_file) if self._input_path is None: - raise RuntimeError('No input file specified, set one using set_input_file or by passing on into this function.') + raise RuntimeError( + "No input file specified, set one using set_input_file or " + "by passing on into this function.", + ) arg_list = [] if self._n_tasks > 1: @@ -295,8 +313,7 @@ def run(self, input_file = None) -> None: if input_file is not None: self.set_input_file(input_file) - if self._input_path is None: - raise RuntimeError("Set input path before calling run.") + self.verify_input() self.set_env_vars() diff --git a/src/pyvale/render/__init__.py b/src/pyvale/render/__init__.py new file mode 100644 index 000000000..83a2eadc9 --- /dev/null +++ b/src/pyvale/render/__init__.py @@ -0,0 +1,267 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Unified rendering APIs for pyvale.""" + +from .blender import ( + Blender, + BlenderCalibrationData, + BlenderCalibrationTarget, + BlenderConfig, + BlenderImageShader, + BlenderMaterial, + BlenderTextureShader, + EBlenderDevice, + EBlenderEngine, + blender_available, + blender_camera_from_resolution, + blender_field_of_view, + blender_gpu_available, + blender_mm_per_pixel, + calibration_image_count, + focal_length_from_resolution, + raise_if_blender_unavailable, + render_calibration_images, +) +from .camera import Camera, EDistortionModel, EPSFType +from .cameratools import ( + EFrameFit, + StereoAngles, + StereoCameras, + StereoExtrinsics, + average_subpixel_image, + cam_calc_leng_per_px, + cam_calc_px_per_leng, + cam_coverage_to_fov_scale, + cam_fov_scale_to_coverage, + cam_frame_mesh, + cam_frame_points, + cam_frame_scene, + cam_look_at, + cam_pos_frame_points, + cam_project_points, + crop_image_rectangle, + pixel_grid_leng, + pixel_vec_leng, + stereo_build_faceon, + stereo_build_from_calibration, + stereo_build_symmetric, + stereo_calc_angles, + stereo_calc_baseline, + stereo_calc_extrinsics, + stereo_calc_stand_off, + stereo_save_calibration_matchid, + stereo_save_calibration_yaml, + subpixel_grid_leng, + subpixel_vec_leng, +) +from .capabilities import RenderCapabilities +from .errors import RenderInputError, ValidationIssue +from .feebee import ( + EFeebeeMaterialType, + EFeebeeShading, + EFeebeeTextureSampler, + Feebee, + FeebeeColourShader, + FeebeeConfig, + FeebeeMaterial, + FeebeeTextureShader, +) +from .imagetools import ( + EImageType, + image_crop, + image_grayscale, + image_load, + image_normalise, + image_resize, + image_save, +) +from .light import ELightType, Light +from .mesh import EElementType, Mesh3D +from .meshtools import ( + evenly_spaced_frame_indices, + first_last_frame_indices, + mesh3d_from_simdata, + mesh_bounds, + mesh_center, + mesh_center_at, + mesh_rotate, + mesh_scale, + mesh_transform, + mesh_translate, + select_frames, +) +from .rasterops import ( + calculate_edge_function, + calculate_elem_bound_box_high, + calculate_elem_bound_box_low, + format_image_number, +) +from .renderer3d import IRenderer3D +from .result import RenderResult +from .riley import ( + Riley, + RileyFunctionShader, + RileyNodalShader, + RileyTextureShader, + to_riley_camera, + to_riley_mesh, +) +from .scene import Scene3D +from .scenetools import ( + scene_arrange_circle, + scene_arrange_grid, + scene_arrange_line, + scene_arrange_points, + scene_bounds, + scene_center, + scene_rotate, + scene_translate, +) +from .uvtools import ( + EUVBounds, + EUVFit, + EUVOrigin, + EUVPlane, + UVMapping, + UVPlane, + UVTransform, + uv_calc_feature_leng, + uv_calc_image_px_per_feature, + uv_calc_texture_px_per_leng, + uv_calc_texture_px_per_leng_from_image, + uv_from_pixels, + uv_map_planar_scaled, + uv_project_planar, + uv_project_planar_centered, + uv_project_planar_pixels, + uv_to_pixels, + uv_transform, +) + +__all__ = [ + "Blender", + "BlenderCalibrationData", + "BlenderCalibrationTarget", + "BlenderConfig", + "BlenderImageShader", + "BlenderMaterial", + "BlenderTextureShader", + "Camera", + "EBlenderDevice", + "EBlenderEngine", + "EDistortionModel", + "EUVBounds", + "EFrameFit", + "EElementType", + "EFeebeeMaterialType", + "EFeebeeShading", + "EFeebeeTextureSampler", + "EImageType", + "ELightType", + "EPSFType", + "EUVFit", + "EUVOrigin", + "EUVPlane", + "Feebee", + "FeebeeColourShader", + "FeebeeConfig", + "FeebeeMaterial", + "FeebeeTextureShader", + "IRenderer3D", + "Light", + "Mesh3D", + "RenderCapabilities", + "RenderInputError", + "RenderResult", + "Riley", + "RileyFunctionShader", + "RileyNodalShader", + "RileyTextureShader", + "Scene3D", + "StereoAngles", + "StereoCameras", + "StereoExtrinsics", + "UVPlane", + "UVMapping", + "UVTransform", + "ValidationIssue", + "average_subpixel_image", + "blender_available", + "blender_camera_from_resolution", + "blender_field_of_view", + "blender_gpu_available", + "blender_mm_per_pixel", + "calculate_edge_function", + "calculate_elem_bound_box_high", + "calculate_elem_bound_box_low", + "calibration_image_count", + "cam_calc_leng_per_px", + "cam_calc_px_per_leng", + "cam_coverage_to_fov_scale", + "cam_fov_scale_to_coverage", + "cam_frame_mesh", + "cam_frame_points", + "cam_frame_scene", + "cam_look_at", + "cam_pos_frame_points", + "cam_project_points", + "crop_image_rectangle", + "evenly_spaced_frame_indices", + "first_last_frame_indices", + "focal_length_from_resolution", + "format_image_number", + "image_crop", + "image_grayscale", + "image_load", + "image_normalise", + "image_resize", + "image_save", + "mesh3d_from_simdata", + "mesh_bounds", + "mesh_center", + "mesh_center_at", + "mesh_rotate", + "mesh_scale", + "mesh_transform", + "mesh_translate", + "pixel_grid_leng", + "pixel_vec_leng", + "raise_if_blender_unavailable", + "render_calibration_images", + "scene_arrange_circle", + "scene_arrange_grid", + "scene_arrange_line", + "scene_arrange_points", + "scene_bounds", + "scene_center", + "scene_rotate", + "scene_translate", + "select_frames", + "stereo_build_faceon", + "stereo_build_from_calibration", + "stereo_build_symmetric", + "stereo_calc_angles", + "stereo_calc_baseline", + "stereo_calc_extrinsics", + "stereo_calc_stand_off", + "stereo_save_calibration_matchid", + "stereo_save_calibration_yaml", + "subpixel_grid_leng", + "subpixel_vec_leng", + "to_riley_camera", + "to_riley_mesh", + "uv_calc_feature_leng", + "uv_calc_image_px_per_feature", + "uv_calc_texture_px_per_leng", + "uv_calc_texture_px_per_leng_from_image", + "uv_from_pixels", + "uv_map_planar_scaled", + "uv_project_planar", + "uv_project_planar_centered", + "uv_project_planar_pixels", + "uv_to_pixels", + "uv_transform", +] diff --git a/src/pyvale/render/blender/__init__.py b/src/pyvale/render/blender/__init__.py new file mode 100644 index 000000000..c9fe08e43 --- /dev/null +++ b/src/pyvale/render/blender/__init__.py @@ -0,0 +1,43 @@ +"""Blender implementation of pyvale's unified renderer API.""" + +from .adapter import ( + Blender, + blender_available, + blender_gpu_available, + raise_if_blender_unavailable, +) +from .blendertools import ( + blender_camera_from_resolution, + blender_field_of_view, + blender_mm_per_pixel, + focal_length_from_resolution, +) +from .calibration import ( + BlenderCalibrationData, + BlenderCalibrationTarget, + calibration_image_count, + render_calibration_images, +) +from .config import BlenderConfig, EBlenderDevice, EBlenderEngine +from .shader import BlenderImageShader, BlenderMaterial, BlenderTextureShader + +__all__ = [ + "Blender", + "BlenderCalibrationData", + "BlenderCalibrationTarget", + "BlenderConfig", + "BlenderImageShader", + "BlenderMaterial", + "BlenderTextureShader", + "EBlenderDevice", + "EBlenderEngine", + "blender_available", + "blender_camera_from_resolution", + "blender_field_of_view", + "blender_gpu_available", + "blender_mm_per_pixel", + "calibration_image_count", + "focal_length_from_resolution", + "raise_if_blender_unavailable", + "render_calibration_images", +] diff --git a/src/pyvale/render/blender/adapter.py b/src/pyvale/render/blender/adapter.py new file mode 100644 index 000000000..e9ab68291 --- /dev/null +++ b/src/pyvale/render/blender/adapter.py @@ -0,0 +1,393 @@ +"""Unified Blender renderer adapter.""" + +import importlib +import sys +import warnings +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +from pyvale.sensorsim.simtools import centre_mesh_nodes + +from ..capabilities import RenderCapabilities +from ..errors import ValidationIssue +from ..light import ELightType, Light +from ..mesh import EElementType, Mesh3D +from ..renderer3d import IRenderer3D +from ..result import RenderResult +from ..scene import Scene3D +from ..verifyinput import raise_if_issues, verify_scene_3d +from .config import BlenderConfig, EBlenderDevice, EBlenderEngine +from .shader import BlenderImageShader, BlenderTextureShader + + +class Blender(IRenderer3D): + """Render common scene data and deformation frames in Blender.""" + + capabilities = RenderCapabilities( + element_types=frozenset((EElementType.TRI3,)), + supports_lights=True, + supports_camera_distortion=False, + supports_psf=False, + ) + + def __init__(self, config: BlenderConfig) -> None: + """Store configuration used by subsequent requests.""" + raise_if_blender_unavailable() + self.config = config + + def verify_input( + self, + scene: Scene3D, + ) -> None: + """Validate a complete Blender request before scene construction.""" + if not isinstance(scene, Scene3D): + raise TypeError("Blender requires a Scene3D.") + meshes = tuple( + mesh for mesh in scene.meshes if isinstance(mesh, Mesh3D) + ) + issues = list(verify_scene_3d(meshes, scene.cameras, scene.lights)) + if not isinstance(self.config, BlenderConfig): + issues.append( + ValidationIssue( + "config", + "TYPE", + "Expected BlenderConfig.", + ) + ) + elif ( + not isinstance(self.config.samples, int) + or not isinstance(self.config.max_bounces, int) + or not isinstance(self.config.threads, int) + or self.config.samples <= 0 + or self.config.max_bounces <= 0 + or self.config.threads <= 0 + ): + issues.append( + ValidationIssue( + "config", + "VALUE", + "Samples, bounces, and threads must be positive integers.", + ) + ) + elif not isinstance(self.config.engine, EBlenderEngine): + issues.append( + ValidationIssue( + "config.engine", + "VALUE", + "Unsupported Blender engine.", + ) + ) + elif not isinstance(self.config.device, EBlenderDevice): + issues.append( + ValidationIssue( + "config.device", + "VALUE", + "Unsupported Cycles device.", + ) + ) + elif ( + not isinstance(self.config.render_deformed, bool) + or not isinstance(self.config.save_images, bool) + or not isinstance(self.config.save_scene, bool) + or not isinstance(self.config.use_denoising, bool) + or not isinstance(self.config.use_adaptive_sampling, bool) + ): + issues.append( + ValidationIssue( + "config", + "TYPE", + "Blender output controls must be booleans.", + ) + ) + elif not isinstance(self.config.seed, int) or self.config.seed < 0: + issues.append( + ValidationIssue( + "config.seed", + "VALUE", + "Expected a non-negative integer.", + ) + ) + if len(scene.cameras) > 2: + issues.append( + ValidationIssue( + "cameras", + "COUNT", + "Blender currently supports at most two cameras.", + ) + ) + if ( + sum( + isinstance(mesh, Mesh3D) and mesh.displacements is not None + for mesh in scene.meshes + ) + > 1 + ): + issues.append( + ValidationIssue( + "meshes", + "DEFORMATION", + "Only one deformable mesh is currently supported.", + ) + ) + if scene.lights is not None and any( + light.light_type not in ELightType for light in scene.lights + ): + issues.append( + ValidationIssue( + "lights", + "TYPE", + "Unsupported Blender light.", + ) + ) + reason = _blender_unavailable_reason() + if reason is not None: + issues.append(ValidationIssue("blender", "UNAVAILABLE", reason)) + for mesh_index, mesh in enumerate(scene.meshes): + if not isinstance(mesh, Mesh3D): + issues.append( + ValidationIssue( + f"scene.meshes[{mesh_index}]", + "TYPE", + "Blender requires common render.Mesh3D objects.", + ) + ) + continue + if mesh.element_type is not EElementType.TRI3: + warnings.warn( + "Blender support is verified only for Tri3 meshes; " + f"received {mesh.element_type.value}.", + RuntimeWarning, + stacklevel=2, + ) + raise_if_issues(tuple(issues)) + + def _render(self, render_scene: Scene3D) -> RenderResult: + """Construct and render one validated Blender scene.""" + blender_module = importlib.import_module("pyvale.blender") + meshes = tuple( + _triangulate_mesh_for_blender(mesh) for mesh in render_scene.meshes + ) + scene = blender_module.Scene() + parts = [scene.add_part(mesh, 3) for mesh in meshes] + for mesh, part in zip(meshes, parts): + if isinstance(mesh.shader, BlenderTextureShader): + scene.add_speckle( + part, + mesh.shader.image_path, + blender_module.MaterialData( + roughness=mesh.shader.material.roughness, + metallic=mesh.shader.material.metallic, + interpolant=mesh.shader.material.interpolant, + ), + mesh.shader.millimetres_per_pixel, + ) + elif isinstance(mesh.shader, BlenderImageShader): + material = blender_module.MaterialData( + roughness=mesh.shader.material.roughness, + metallic=mesh.shader.material.metallic, + interpolant=mesh.shader.material.interpolant, + ) + blender_module.Tools.clear_material_nodes(part) + blender_module.Tools.add_image_texture( + material, + image_array=mesh.shader.image, + ) + blender_module.Tools.uv_unwrap_part( + part, + mesh.shader.millimetres_per_pixel, + ) + for camera in render_scene.cameras: + scene.add_camera(camera) + for light in render_scene.lights or (): + scene.add_light(_legacy_light(blender_module, light)) + self.config.output_dir.mkdir(parents=True, exist_ok=True) + camera_data = ( + render_scene.cameras[0] + if len(render_scene.cameras) == 1 + else tuple(render_scene.cameras) + ) + render_data = blender_module.RenderData( + cam_data=camera_data, + base_dir=self.config.output_dir, + samples=self.config.samples, + max_bounces=self.config.max_bounces, + threads=self.config.threads, + engine=blender_module.RenderEngine(self.config.engine.value), + device=self.config.device.value, + seed=self.config.seed, + use_denoising=self.config.use_denoising, + use_adaptive_sampling=self.config.use_adaptive_sampling, + ) + deformable = next( + (mesh for mesh in meshes if mesh.displacements is not None), None + ) + if not self.config.render_deformed: + deformable = None + if deformable is None: + image = scene.render_single_image( + render_data, + stage_image=not self.config.save_images, + ) + if self.config.save_scene: + blender_module.Tools.save_blender_file( + self.config.output_dir, over_write=True + ) + if image is None: + return RenderResult(None, _image_paths(self.config.output_dir)) + return RenderResult(_normalise_images(np.asarray(image))) + part = parts[meshes.index(deformable)] + deformation_mesh = Mesh3D( + deformable.element_type, + centre_mesh_nodes(deformable.coords.copy(), 3), + deformable.connectivity, + deformable.shader, + deformable.displacements, + ) + image = scene.render_deformed_images( + deformation_mesh, + 3, + render_data, + part, + stage_image=not self.config.save_images, + ) + if self.config.save_scene: + blender_module.Tools.save_blender_file( + self.config.output_dir, over_write=True + ) + if image is None: + return RenderResult(None, _image_paths(self.config.output_dir)) + return RenderResult( + _normalise_deformed_images( + np.asarray(image), + len(render_scene.cameras), + ) + ) + + +def _legacy_light(blender_module: object, light: Light) -> object: + """Convert common light data to the legacy Blender scene light container.""" + light_type = blender_module.LightType(light.light_type.value.upper()) + direction = np.asarray(light.direction_world, dtype=np.float64) + rotation = Rotation.identity() + if np.linalg.norm(direction) > 0.0: + rotation = Rotation.align_vectors( + np.asarray((0.0, 0.0, -1.0)), + direction[None, :], + )[0] + return blender_module.LightData( + light.pos_world, + rotation, + light.intensity, + light_type, + light.shadow_soft_size, + ) + + +def _triangulate_mesh_for_blender(mesh: Mesh3D) -> Mesh3D: + """Tessellate legacy surface cells for Blender's supported Tri3 path.""" + if mesh.element_type is EElementType.TRI3: + return mesh + + import pyvista as pv + + cell_types = { + EElementType.TRI6: pv.CellType.QUADRATIC_TRIANGLE, + EElementType.QUAD4: pv.CellType.QUAD, + EElementType.QUAD8: pv.CellType.QUADRATIC_QUAD, + EElementType.QUAD9: pv.CellType.BIQUADRATIC_QUAD, + } + nodes_per_element = mesh.connectivity.shape[1] + cells = np.column_stack( + ( + np.full( + mesh.connectivity.shape[0], + nodes_per_element, + dtype=np.uintp, + ), + mesh.connectivity, + ) + ).ravel() + grid = pv.UnstructuredGrid( + cells, + np.full(mesh.connectivity.shape[0], cell_types[mesh.element_type]), + mesh.coords, + ) + surface = grid.extract_surface(algorithm="dataset_surface").triangulate() + connectivity = np.asarray(surface.faces).reshape((-1, 4))[:, 1:] + return Mesh3D( + EElementType.TRI3, + np.asarray(surface.points), + connectivity, + mesh.shader, + mesh.displacements, + ) + + +def _image_paths(output_dir: Path) -> tuple[Path, ...]: + """Return persisted Blender TIFFs in deterministic lexical order.""" + return tuple(sorted((output_dir / "images").glob("*.tiff"))) + + +def _normalise_images(images: np.ndarray) -> np.ndarray: + """Normalise legacy single-frame image arrays to the common layout.""" + if images.ndim == 2: + return images[None, None, :, :, None] + return images.transpose(2, 0, 1)[None, :, :, :, None] + + +def _normalise_deformed_images( + images: np.ndarray, + camera_count: int, +) -> np.ndarray: + """Normalise legacy deformation stacks to + ``frame, camera, y, x, channel``. + """ + if images.ndim == 2: + return images[None, None, :, :, None] + frames = images.shape[2] // camera_count + return images.reshape( + images.shape[0], + images.shape[1], + frames, + camera_count, + ).transpose(2, 3, 0, 1)[:, :, :, :, None] + + +def raise_if_blender_unavailable() -> None: + """Raise RenderInputError if the optional Blender backend is missing.""" + reason = _blender_unavailable_reason() + if reason is not None: + raise_if_issues((ValidationIssue("blender", "UNAVAILABLE", reason),)) + + +def blender_available() -> bool: + """Return whether this interpreter can execute the Blender backend.""" + return _blender_unavailable_reason() is None + + +def blender_gpu_available() -> bool: + """Return whether Blender reports a supported Cycles GPU device. + + Returns + ------- + bool + ``True`` when Blender's Cycles preferences report a CUDA, OptiX, HIP, + Metal, or oneAPI device. ``False`` if Blender is unavailable. + """ + if _blender_unavailable_reason() is not None: + return False + blender_module = importlib.import_module("pyvale.blender") + return bool(blender_module.Tools.check_for_GPU()) + + +def _blender_unavailable_reason() -> str | None: + """Return an actionable reason when Blender cannot run here.""" + if sys.version_info[:2] != (3, 13): + return "Blender requires Python 3.13 and the pyvale blender extra." + try: + importlib.import_module("pyvale.blender") + except Exception as exception: # noqa: BLE001 + return f"Blender is not available: {exception}" + return None diff --git a/src/pyvale/render/blender/blendertools.py b/src/pyvale/render/blender/blendertools.py new file mode 100644 index 000000000..ea93fd5d9 --- /dev/null +++ b/src/pyvale/render/blender/blendertools.py @@ -0,0 +1,63 @@ +"""Camera helpers specific to the Blender rendering backend.""" + +import numpy as np +from scipy.spatial.transform import Rotation + +from ..camera import Camera + + +def blender_camera_from_resolution( + pixels_num: np.ndarray, + pixels_size: np.ndarray, + working_dist: float, + resolution: float, +) -> Camera: + """Create a perspective camera from working distance and resolution.""" + focal_length = focal_length_from_resolution( + pixels_size, + working_dist, + resolution, + ) + return Camera( + pixels_num=pixels_num, + pixels_size=pixels_size, + pos_world=np.array((0.0, 0.0, working_dist)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=focal_length, + ) + + +def focal_length_from_resolution( + pixels_size: np.ndarray, + working_dist: float, + resolution: float, +) -> float: + """Calculate the focal length for a requested image resolution.""" + return working_dist * pixels_size[0] / resolution + + +def blender_field_of_view(camera: Camera) -> tuple[float, float]: + """Calculate Blender's perspective field of view for a camera.""" + image_distance = np.linalg.norm(camera.pos_world - camera.roi_cent_world) + field_x = ( + camera.pixels_num[0] + * camera.pixels_size[0] + * image_distance + / camera.focal_length + ) + field_y = camera.pixels_num[1] / camera.pixels_num[0] * field_x + return float(field_x), float(field_y) + + +def blender_mm_per_pixel(camera: Camera) -> float: + """Calculate the horizontal world length represented by one pixel.""" + return blender_field_of_view(camera)[0] / camera.pixels_num[0] + + +__all__ = [ + "blender_camera_from_resolution", + "blender_field_of_view", + "blender_mm_per_pixel", + "focal_length_from_resolution", +] diff --git a/src/pyvale/render/blender/calibration.py b/src/pyvale/render/blender/calibration.py new file mode 100644 index 000000000..d21b9fdff --- /dev/null +++ b/src/pyvale/render/blender/calibration.py @@ -0,0 +1,221 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Blender calibration-target configuration helpers.""" + +import importlib +from collections.abc import Sequence +from dataclasses import dataclass, field +from pathlib import Path +from types import SimpleNamespace + +import numpy as np + +from ..camera import Camera +from ..light import Light +from ..result import RenderResult +from .adapter import _legacy_light, raise_if_blender_unavailable +from .config import BlenderConfig +from .shader import BlenderMaterial + + +@dataclass(frozen=True, slots=True) +class BlenderCalibrationData: + """Describe the pose sweep used to render a camera calibration target. + + Parameters + ---------- + angle_lims : tuple[float, float], optional + Inclusive lower and upper target-angle limits in degrees. + angle_step : float, optional + Angular increment in degrees. + plunge_lims : tuple[float, float], optional + Inclusive lower and upper target-depth limits. + plunge_step : float, optional + Target-depth increment. + x_limit, y_limit : float or None, optional + Optional lateral target-position limits retained for calibration scene + generation. + max_images : int or None, optional + Maximum number of TIFF files to render. ``None`` renders every pose. + """ + + angle_lims: tuple[float, float] = (-10.0, 10.0) + angle_step: float = 5.0 + plunge_lims: tuple[float, float] = (-5.0, 5.0) + plunge_step: float = 5.0 + x_limit: float | None = None + y_limit: float | None = None + max_images: int | None = None + + +@dataclass(slots=True) +class BlenderCalibrationTarget: + """A textured planar target used to generate calibration images. + + Parameters + ---------- + size : numpy.ndarray + Target width, height, and thickness in world units. + image_path : pathlib.Path + Calibration-target texture image. + millimetres_per_pixel : float + Texture resolution used by Blender UV unwrapping. + material : BlenderMaterial, optional + Backend-owned material controls for the target. + """ + + size: np.ndarray + image_path: Path + millimetres_per_pixel: float + material: BlenderMaterial = field(default_factory=BlenderMaterial) + + def __post_init__(self) -> None: + """Normalise target array and texture path inputs.""" + self.size = np.asarray(self.size, dtype=np.float64) + self.image_path = Path(self.image_path) + + +def calibration_image_count(data: BlenderCalibrationData) -> int: + """Return the number of legacy Blender calibration-target images. + + Parameters + ---------- + data : BlenderCalibrationData + Calibration target pose-sweep configuration. + + Returns + ------- + int + Number of target poses in the historical nine-position lateral sweep. + """ + plunge_steps = ( + data.plunge_lims[1] - data.plunge_lims[0] + ) / data.plunge_step + angle_steps = (data.angle_lims[1] - data.angle_lims[0]) / data.angle_step + return int((plunge_steps + 1.0) * (angle_steps + 1.0) ** 2 * 9) + + +def render_calibration_images( + target: BlenderCalibrationTarget, + cameras: Sequence[Camera], + config: BlenderConfig, + data: BlenderCalibrationData | None = None, + lights: Sequence[Light] | None = None, +) -> RenderResult: + """Render a legacy-compatible Blender calibration-target pose sweep. + + Parameters + ---------- + target : BlenderCalibrationTarget + Textured physical calibration target. + cameras : Sequence[Camera] + Exactly two perspective cameras defining the calibration rig. + config : BlenderConfig + Blender engine, image output, and sampling controls. + data : BlenderCalibrationData, optional + Target translation and rotation sweep controls. + lights : Sequence[Light] or None, optional + Optional scene lights. ``None`` preserves Blender's dark default world. + + Returns + ------- + RenderResult + File-only result containing the calibration TIFF paths. + + Raises + ------ + RenderInputError + If input is invalid or the Blender backend is unavailable. + """ + raise_if_blender_unavailable() + if not isinstance(target, BlenderCalibrationTarget): + raise TypeError("target must be a BlenderCalibrationTarget.") + if not isinstance(config, BlenderConfig): + raise TypeError("config must be a BlenderConfig.") + if data is None: + data = BlenderCalibrationData() + elif not isinstance(data, BlenderCalibrationData): + raise TypeError("data must be a BlenderCalibrationData.") + if data.max_images is not None and data.max_images < 1: + raise ValueError("data.max_images must be positive when specified.") + if target.size.shape != (3,) or np.any(target.size <= 0.0): + raise ValueError("target.size must contain three positive dimensions.") + camera_data = tuple(cameras) + if len(camera_data) != 2 or not all( + isinstance(camera, Camera) for camera in camera_data + ): + raise ValueError("Calibration rendering requires exactly two Cameras.") + + blender = importlib.import_module("pyvale.blender") + scene = blender.Scene() + target_object = scene.add_cal_target(target.size) + for camera in camera_data: + scene.add_camera(camera) + for light in lights or (): + scene.add_light(_legacy_light(blender, light)) + scene.add_speckle( + target_object, + target.image_path, + blender.MaterialData( + roughness=target.material.roughness, + metallic=target.material.metallic, + interpolant=target.material.interpolant, + ), + target.millimetres_per_pixel, + cal=True, + ) + config.output_dir.mkdir(parents=True, exist_ok=True) + render_data = blender.RenderData( + cam_data=tuple( + _legacy_calibration_camera(camera) for camera in camera_data + ), + base_dir=config.output_dir, + samples=config.samples, + max_bounces=config.max_bounces, + threads=config.threads, + engine=blender.RenderEngine(config.engine.value), + device=config.device.value, + seed=config.seed, + use_denoising=config.use_denoising, + use_adaptive_sampling=config.use_adaptive_sampling, + ) + legacy_data = blender.CalibrationData( + angle_lims=data.angle_lims, + angle_step=data.angle_step, + plunge_lims=data.plunge_lims, + plunge_step=data.plunge_step, + x_limit=data.x_limit, + y_limit=data.y_limit, + max_images=data.max_images, + ) + blender.Tools.render_calibration_images( + render_data, legacy_data, target_object + ) + paths = tuple(sorted((config.output_dir / "calimages").glob("*.tiff"))) + return RenderResult(None, paths) + + +def _legacy_calibration_camera(camera: Camera) -> SimpleNamespace: + """Supply the derived camera data required by the legacy target loop.""" + values = { + field: getattr(camera, field) for field in camera.__dataclass_fields__ + } + values["pixels_num"] = camera.pixels_num + values["pixels_size"] = camera.pixels_size + values["image_dist"] = float( + np.linalg.norm( + camera.pos_world - camera.roi_cent_world, + ) + ) + return SimpleNamespace(**values) + + +__all__ = [ + "BlenderCalibrationData", + "BlenderCalibrationTarget", + "calibration_image_count", + "render_calibration_images", +] diff --git a/src/pyvale/render/blender/config.py b/src/pyvale/render/blender/config.py new file mode 100644 index 000000000..cfba5b0cb --- /dev/null +++ b/src/pyvale/render/blender/config.py @@ -0,0 +1,70 @@ +"""Blender-specific unified renderer configuration.""" + +from dataclasses import dataclass +from enum import Enum +from pathlib import Path + + +class EBlenderEngine(Enum): + """Blender render engines supported by the unified adapter.""" + + CYCLES = "CYCLES" + EEVEE = "BLENDER_EEVEE" + WORKBENCH = "BLENDER_WORKBENCH" + + +class EBlenderDevice(Enum): + """Cycles compute devices supported by the unified adapter.""" + + CPU = "CPU" + GPU = "GPU" + + +@dataclass(frozen=True, slots=True) +class BlenderConfig: + """Stable Blender controls accepted by the unified adapter. + + Parameters + ---------- + output_dir : pathlib.Path + Directory used for optional TIFF and Blender-project outputs. + engine : EBlenderEngine, optional + Blender render engine. + device : EBlenderDevice, optional + Cycles compute device. CPU is the reproducible regression default. + samples : int, optional + Per-pixel render samples. + max_bounces : int, optional + Cycles maximum light-bounce count. + threads : int, optional + Blender render worker count. + render_deformed : bool, optional + Render each nodal-displacement frame instead of a static scene. + save_images : bool, optional + Persist TIFFs and return their paths rather than retaining image arrays. + save_scene : bool, optional + Persist the constructed Blender scene as a ``.blend`` project file. + seed : int, optional + Fixed Cycles sampling seed used for reproducible rendering. + use_denoising : bool, optional + Enable Cycles image denoising. + use_adaptive_sampling : bool, optional + Enable Cycles adaptive sampling. + """ + + output_dir: Path + engine: EBlenderEngine = EBlenderEngine.CYCLES + device: EBlenderDevice = EBlenderDevice.CPU + samples: int = 2 + max_bounces: int = 12 + threads: int = 1 + render_deformed: bool = False + save_images: bool = False + save_scene: bool = False + seed: int = 0 + use_denoising: bool = True + use_adaptive_sampling: bool = True + + def __post_init__(self) -> None: + """Normalise the output directory to a path object.""" + object.__setattr__(self, "output_dir", Path(self.output_dir)) diff --git a/src/pyvale/render/blender/shader.py b/src/pyvale/render/blender/shader.py new file mode 100644 index 000000000..86da40f3f --- /dev/null +++ b/src/pyvale/render/blender/shader.py @@ -0,0 +1,75 @@ +"""Blender-owned mesh shader definitions.""" + +from dataclasses import dataclass +from pathlib import Path + +import numpy as np + + +@dataclass(frozen=True, slots=True) +class BlenderMaterial: + """Principled-material controls owned by the Blender backend. + + Parameters + ---------- + roughness : float, optional + Blender principled-BSDF roughness. + metallic : float, optional + Blender principled-BSDF metallic weight. + interpolant : str, optional + Blender image-texture interpolation mode. + """ + + roughness: float = 1.0 + metallic: float = 0.0 + interpolant: str = "Cubic" + + +@dataclass(frozen=True, slots=True) +class BlenderTextureShader: + """Image texture controls for a Blender mesh material. + + Parameters + ---------- + image_path : pathlib.Path + Speckle or surface texture image supplied to Blender. + millimetres_per_pixel : float + Texture scale used by Blender UV unwrapping. + material : BlenderMaterial, optional + Backend-owned principled material controls. + """ + + image_path: Path + millimetres_per_pixel: float + material: BlenderMaterial = BlenderMaterial() + + def __post_init__(self) -> None: + """Normalise the texture path.""" + object.__setattr__(self, "image_path", Path(self.image_path)) + + +@dataclass(slots=True) +class BlenderImageShader: + """In-memory texture-image controls for a Blender mesh material. + + Parameters + ---------- + image : numpy.ndarray + Greyscale or RGBA image texture supplied directly to Blender. + millimetres_per_pixel : float + Texture scale used by Blender UV unwrapping. + material : BlenderMaterial, optional + Backend-owned principled material controls. + """ + + image: np.ndarray + millimetres_per_pixel: float + material: BlenderMaterial = BlenderMaterial() + + def __post_init__(self) -> None: + """Store an immutable contiguous image representation.""" + image = np.asarray(self.image) + if np.issubdtype(image.dtype, np.floating): + upper = 1.0 if image.size and np.nanmax(image) <= 1.0 else 255.0 + image = np.clip(image * (255.0 / upper), 0.0, 255.0) + self.image = np.ascontiguousarray(image, dtype=np.uint8) diff --git a/src/pyvale/render/camera.py b/src/pyvale/render/camera.py new file mode 100644 index 000000000..56a079f8f --- /dev/null +++ b/src/pyvale/render/camera.py @@ -0,0 +1,132 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Camera data for three dimensional and planar rendering.""" + +from dataclasses import dataclass, field +from enum import IntEnum + +import numpy as np +from scipy.spatial.transform import Rotation + + +class EDistortionModel(IntEnum): + """Lens distortion models matching Riley's C backend. + + Values correspond to the ``distortion_model`` field in Riley's CCameraInput. + """ + + NONE = 0 + BROWN_CONRADY = 1 + BROWN_CONRADY_EXT = 2 + POLYNOMIAL = 3 + BROWN_CONRADY_POLYNOMIAL = 4 + BROWN_CONRADY_EXT_POLYNOMIAL = 5 + + +class EPSFType(IntEnum): + """Point spread function types matching Riley's PsfType enum. + + Values correspond to Riley's PsfType enum. + """ + + PIXEL_BOX = 0 + GAUSSIAN = 1 + ANISOTROPIC_GAUSSIAN = 2 + + +@dataclass(slots=True, kw_only=True) +class Camera: + """A perspective camera data structure. + + Parameters + ---------- + pixels_num : np.ndarray + Image pixel counts with shape ``(2,)`` and dtype ``int32`` in + ``(width, height)`` order. + pixels_size : np.ndarray + Physical pixel dimensions with shape ``(2,)`` and dtype ``float64`` + in ``(width, height)`` order, in world length units. + pos_world : np.ndarray + Camera position in world coordinates with shape ``(3,)`` and dtype + ``float64`` representing (X, Y, Z) coordinates. + rot_world : scipy.spatial.transform.Rotation + Camera orientation in world coordinates. + roi_cent_world : np.ndarray + Region of interest centre in world coordinates with shape ``(3,)`` + and dtype ``float64`` representing (X, Y, Z) coordinates. + focal_length : float + Camera focal length in the same units as world coordinates. + subsample : int, optional + Number of sub pixel samples per pixel direction. + distortion_model : EDistortionModel, optional + Lens distortion model identifier. + distortion_k1, distortion_k2, distortion_k3, distortion_k4 : float, optional + Radial distortion coefficients. + distortion_k5, distortion_k6 : float, optional + Additional radial distortion coefficients. + distortion_p1, distortion_p2 : float, optional + Tangential distortion coefficients. + c0, c1 : float or None, optional + Optical centre coordinates in pixels. ``None`` centres the coordinate + in the image. + fstop : float or None, optional + Lens f number. ``None`` leaves depth of field disabled. + psf_type : EPSFType, optional + Point spread function model identifier. + psf_sigma_x, psf_sigma_y : float, optional + Point spread function standard deviations in pixel coordinates. + psf_theta : float, optional + Point spread function rotation in radians. + psf_support_rad : float, optional + Point spread function support radius in pixels. + """ + + pixels_num: np.ndarray + pixels_size: np.ndarray + pos_world: np.ndarray + rot_world: Rotation + roi_cent_world: np.ndarray + focal_length: float + subsample: int = 1 + distortion_model: EDistortionModel = EDistortionModel.NONE + distortion_k1: float = 0.0 + distortion_k2: float = 0.0 + distortion_k3: float = 0.0 + distortion_k4: float = 0.0 + distortion_k5: float = 0.0 + distortion_k6: float = 0.0 + distortion_p1: float = 0.0 + distortion_p2: float = 0.0 + c0: float | None = None + c1: float | None = None + fstop: float | None = None + psf_type: EPSFType = EPSFType.PIXEL_BOX + psf_sigma_x: float = 0.0 + psf_sigma_y: float = 0.0 + psf_theta: float = 0.0 + psf_support_rad: float = 0.0 + + def __post_init__(self) -> None: + """Normalise arrays and supply an unset optical centre.""" + self.pixels_num = np.asarray(self.pixels_num, dtype=np.int32) + self.pixels_size = np.asarray(self.pixels_size, dtype=np.float64) + self.pos_world = np.asarray(self.pos_world, dtype=np.float64) + self.roi_cent_world = np.asarray(self.roi_cent_world, dtype=np.float64) + + if self.c0 is None: + self.c0 = float(self.pixels_num[0]) / 2.0 + + if self.c1 is None: + self.c1 = float(self.pixels_num[1]) / 2.0 + + if isinstance(self.distortion_model, int): + self.distortion_model = EDistortionModel(self.distortion_model) + + if isinstance(self.psf_type, int): + self.psf_type = EPSFType(self.psf_type) + + +__all__ = ["Camera", "EDistortionModel", "EPSFType"] diff --git a/src/pyvale/render/cameratools.py b/src/pyvale/render/cameratools.py new file mode 100644 index 000000000..7adfb8d10 --- /dev/null +++ b/src/pyvale/render/cameratools.py @@ -0,0 +1,1122 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Camera placement, orientation, projection, and stereo configuration +helpers. +""" + +from collections.abc import Sequence +from dataclasses import dataclass, replace +from enum import IntEnum +from pathlib import Path + +import numpy as np +import riley +import yaml +from scipy.signal import convolve2d +from scipy.spatial.transform import Rotation + +from .camera import Camera +from .mesh import Mesh3D + + +StereoCameras = tuple[Camera, Camera] +"""The ordered pair of cameras that defines a stereo rig.""" + + +class EFrameFit(IntEnum): + """Rule used to fit world coordinates within the camera field of view.""" + + CONTAIN = 0 + COVER = 1 + HORIZONTAL = 2 + VERTICAL = 3 + + +@dataclass(frozen=True, slots=True) +class StereoExtrinsics: + """Transform from camera zero coordinates to camera one coordinates. + + The relation is ``point_cam1 = rotation_cam1_from_cam0.apply(point_cam0) + + translation_cam1_in_cam0``. The camera rotations stored by + :class:`Camera` transform camera coordinates into world coordinates. + + Parameters + ---------- + rotation_cam1_from_cam0 : scipy.spatial.transform.Rotation + Relative rotation from camera zero frame to camera one frame. + translation_cam1_in_cam0 : np.ndarray + Translation vector array with shape ``(3,)`` and dtype ``float64`` + representing the position of camera zero in camera one frame. + """ + + rotation_cam1_from_cam0: Rotation + translation_cam1_in_cam0: np.ndarray + + +@dataclass(frozen=True, slots=True) +class StereoAngles: + """Relative orientation and optical axis convergence of a stereo pair. + + Parameters + ---------- + relative_euler_xyz_degrees : np.ndarray + Relative Euler angles (XYZ) in degrees with shape ``(3,)`` and dtype + ``float64``. + convergence_degrees : float + Optical axis convergence angle in degrees. + """ + + relative_euler_xyz_degrees: np.ndarray + convergence_degrees: float + + +def cam_look_at( + camera: Camera, + target: np.ndarray, + up: np.ndarray = np.array((0.0, 1.0, 0.0)), +) -> Camera: + """Orient a camera so its optical axis points towards a target location. + + Parameters + ---------- + camera : Camera + Camera to reorient. + target : np.ndarray + Target position array with shape ``(3,)`` and dtype ``float64`` + representing (X, Y, Z) world coordinates the camera should aim at. + up : np.ndarray, optional + Preferred upward world direction array with shape ``(3,)`` and dtype + ``float64`` (default is +Y: ``(0, 1, 0)``). + + Returns + ------- + Camera + A copy of the camera with updated rotation and ROI center. + + Raises + ------ + ValueError + If camera position and target are coincident. + """ + target_vec = np.asarray(target, dtype=np.float64) + pos_vec = np.asarray(camera.pos_world, dtype=np.float64) + view_dir = target_vec - pos_vec + dist = np.linalg.norm(view_dir) + + if dist < 1.0e-12: + raise ValueError("Camera position and look-at target are coincident.") + + forward = view_dir / dist + z_cam = -forward + + up_vec = np.asarray(up, dtype=np.float64) + up_norm = np.linalg.norm(up_vec) + if up_norm < 1.0e-12: + up_vec = np.array((0.0, 1.0, 0.0)) + else: + up_vec = up_vec / up_norm + + x_cam = np.cross(up_vec, z_cam) + x_norm = np.linalg.norm(x_cam) + if x_norm < 1.0e-6: + fallback_up = np.array((0.0, 0.0, 1.0)) + if abs(np.dot(fallback_up, z_cam)) > 0.9: + fallback_up = np.array((1.0, 0.0, 0.0)) + x_cam = np.cross(fallback_up, z_cam) + x_norm = np.linalg.norm(x_cam) + + x_cam = x_cam / x_norm + y_cam = np.cross(z_cam, x_cam) + y_cam = y_cam / np.linalg.norm(y_cam) + + rot_matrix = np.column_stack((x_cam, y_cam, z_cam)) + rot_world = Rotation.from_matrix(rot_matrix) + + return replace( + camera, + rot_world=rot_world, + roi_cent_world=target_vec.copy(), + ) + + +def cam_coverage_to_fov_scale(coverage: float) -> float: + """Convert target image coverage to Riley's field of view scale. + + Parameters + ---------- + coverage : float + Target image coverage fraction (e.g. 0.9 for 90% sensor coverage). + + Returns + ------- + float + Riley field of view scale parameter. + + Raises + ------ + ValueError + If coverage is not positive. + """ + if coverage <= 0.0: + raise ValueError("coverage must be positive.") + return riley.coverage_to_fov_scale(float(coverage)) + + +def cam_fov_scale_to_coverage(fov_scale: float) -> float: + """Convert Riley's field of view scale to target image coverage. + + Parameters + ---------- + fov_scale : float + Riley field of view scale parameter. + + Returns + ------- + float + Target image coverage fraction. + + Raises + ------ + ValueError + If fov_scale is not positive. + """ + if fov_scale <= 0.0: + raise ValueError("fov_scale must be positive.") + return riley.fov_scale_to_coverage(float(fov_scale)) + + +def cam_calc_leng_per_px( + camera: Camera, + target: np.ndarray | None = None, +) -> float: + """Calculate average simulation length per image pixel at a target. + + Riley evaluates the camera normal plane through the target and averages + its horizontal and vertical scaling. The camera ROI centre is used when + ``target`` is omitted. + + Parameters + ---------- + camera : Camera + Camera model. + target : np.ndarray or None, optional + Target position array with shape ``(3,)`` and dtype ``float64`` + representing (X, Y, Z) coordinates. If ``None``, uses + ``camera.roi_cent_world``. + + Returns + ------- + float + Average world length per pixel in simulation length units. + + Raises + ------ + ValueError + If target is not finite or has invalid shape. + """ + from .riley import to_riley_camera + + target_array = camera.roi_cent_world if target is None else target + target_array = np.asarray(target_array, dtype=np.float64) + if target_array.shape != (3,) or not np.isfinite(target_array).all(): + raise ValueError("target must be finite and have shape (3,).") + + return riley.calc_pixel_resolution( + to_riley_camera(camera), + tuple(float(value) for value in target_array), + ) + + +def cam_calc_px_per_leng( + camera: Camera, + target: np.ndarray | None = None, +) -> float: + """Calculate average image pixels per simulation length at a target. + + Parameters + ---------- + camera : Camera + Camera model. + target : np.ndarray or None, optional + Target position array with shape ``(3,)`` and dtype ``float64`` + representing (X, Y, Z) coordinates. If ``None``, uses + ``camera.roi_cent_world``. + + Returns + ------- + float + Average image pixels per world length unit. + """ + return 1.0 / cam_calc_leng_per_px(camera, target) + + +def cam_pos_frame_points( + points: np.ndarray, + pixels_num: tuple[int, int] | np.ndarray, + pixels_size: tuple[float, float] | np.ndarray, + focal_length: float, + rot_world: tuple[float, float, float] | np.ndarray | Rotation = ( + 0.0, + 0.0, + 0.0, + ), + fov_scale: float = 1.0, + fit_mode: EFrameFit = EFrameFit.CONTAIN, + target: np.ndarray | None = None, +) -> np.ndarray: + """Calculate a camera position that frames a set of world points. + + Parameters + ---------- + points : numpy.ndarray + Array of 3D point coordinates (e.g. mesh.coords) to frame. + pixels_num : tuple[int, int] or numpy.ndarray + Camera sensor resolution in pixels (num_x, num_y). + pixels_size : tuple[float, float] or numpy.ndarray + Pixel physical dimensions in metres. + focal_length : float + Camera focal length in metres. + rot_world : tuple, numpy.ndarray, or Rotation, optional + Euler angles in radians (xyz) or a scipy Rotation (default (0, 0, 0)). + fov_scale : float, optional + Scale applied to the fitted field of view. Values greater than one + leave a border and values below one crop the target (default 1.0). + fit_mode : EFrameFit, optional + Rule used to select the fitted sensor dimension. + target : numpy.ndarray or None, optional + Point placed at the image centre. The coordinate bounds centre is + used when omitted. + + Returns + ------- + numpy.ndarray + Camera world coordinates [x, y, z] to frame the points. + """ + pts = np.asarray(points, dtype=np.float64) + if pts.ndim != 2 or pts.shape[1] != 3: + raise ValueError("points must have shape (N, 3).") + if pts.shape[0] == 0: + raise ValueError("Cannot frame an empty set of points.") + + pixel_counts = np.asarray(pixels_num) + pixel_sizes = np.asarray(pixels_size, dtype=np.float64) + if ( + pixel_counts.shape != (2,) + or pixel_sizes.shape != (2,) + or np.any(pixel_counts <= 0.0) + or np.any(pixel_sizes <= 0.0) + or focal_length <= 0.0 + or fov_scale <= 0.0 + ): + raise ValueError( + "Camera dimensions, focal length, and fov_scale must be positive." + ) + + if isinstance(rot_world, Rotation): + rotation_xyz = rot_world.as_euler("xyz") + else: + rotation_xyz = np.asarray(rot_world, dtype=np.float64) + if rotation_xyz.shape != (3,): + raise ValueError("rot_world must have shape (3,).") + + target_tuple = None + if target is not None: + target_array = np.asarray(target, dtype=np.float64) + if target_array.shape != (3,): + raise ValueError("target must have shape (3,).") + target_tuple = tuple(float(value) for value in target_array) + + position = riley.pos_frame_coords( + pts, + tuple(int(value) for value in pixel_counts), + tuple(float(value) for value in pixel_sizes), + float(focal_length), + tuple(float(value) for value in rotation_xyz[::-1]), + fov_scale=float(fov_scale), + fit_mode=riley.FrameFitMode(int(fit_mode)), + target=target_tuple, + ) + return np.asarray(position, dtype=np.float64) + + +def cam_frame_points( + camera: Camera, + points: np.ndarray, + fov_scale: float = 1.0, + fit_mode: EFrameFit = EFrameFit.CONTAIN, + target: np.ndarray | None = None, +) -> Camera: + """Move a camera along its view direction to frame a set of points. + + Parameters + ---------- + camera : Camera + Camera to position. + points : numpy.ndarray + Array of 3D point coordinates to fit inside the sensor. + fov_scale : float, optional + Scale applied to the fitted field of view (default is 1.0). + fit_mode : EFrameFit, optional + Rule used to select the fitted sensor dimension. + target : numpy.ndarray or None, optional + Point placed at the image centre. The bounds centre is used when + omitted. + + Returns + ------- + Camera + A copy of the camera positioned to frame the points. + """ + + pts = np.asarray(points, dtype=np.float64) + if pts.size == 0: + raise ValueError("Cannot frame an empty set of points.") + + roi = np.asarray(riley.roi_cent_from_coords(pts), dtype=np.float64) + if target is not None: + roi = np.asarray(target, dtype=np.float64) + + pos = cam_pos_frame_points( + pts, + camera.pixels_num, + camera.pixels_size, + camera.focal_length, + camera.rot_world, + fov_scale=fov_scale, + fit_mode=fit_mode, + target=target, + ) + + return replace( + camera, + pos_world=pos, + roi_cent_world=roi, + ) + + +def cam_frame_mesh( + camera: Camera, + mesh: Mesh3D, + fov_scale: float = 1.0, + fit_mode: EFrameFit = EFrameFit.CONTAIN, + target: np.ndarray | None = None, +) -> Camera: + """Position a camera along its view direction to frame a mesh. + + Parameters + ---------- + camera : Camera + Camera to position. + mesh : Mesh3D + Surface mesh whose coordinates to fit inside the sensor. + fov_scale : float, optional + Scale applied to the fitted field of view (default is 1.0). + fit_mode : EFrameFit, optional + Rule used to select the fitted sensor dimension. Defaults to + ``EFrameFit.CONTAIN``. + target : np.ndarray or None, optional + Point array with shape ``(3,)`` placed at the image centre. The bounds + centre is used when omitted. + + Returns + ------- + Camera + A copy of the camera positioned to frame the mesh. + """ + return cam_frame_points( + camera, + mesh.coords, + fov_scale=fov_scale, + fit_mode=fit_mode, + target=target, + ) + + +def cam_frame_scene( + camera: Camera, + meshes: Sequence[Mesh3D], + fov_scale: float = 1.0, + fit_mode: EFrameFit = EFrameFit.CONTAIN, + target: np.ndarray | None = None, +) -> Camera: + """Position a camera along its view direction to frame all meshes. + + Parameters + ---------- + camera : Camera + Camera to position. + meshes : Sequence[Mesh3D] + Collection of surface meshes to frame. + fov_scale : float, optional + Scale applied to the fitted field of view (default is 1.0). + fit_mode : EFrameFit, optional + Rule used to select the fitted sensor dimension. Defaults to + ``EFrameFit.CONTAIN``. + target : np.ndarray or None, optional + Point array with shape ``(3,)`` placed at the image centre. The bounds + centre is used when omitted. + + Returns + ------- + Camera + A copy of the camera positioned to frame all meshes in the scene. + + Raises + ------ + ValueError + If no meshes provide valid coordinates. + """ + valid_coords = [mesh.coords for mesh in meshes if len(mesh.coords) > 0] + if not valid_coords: + raise ValueError("Cannot frame a scene with no mesh coordinates.") + + all_pts = np.concatenate(valid_coords, axis=0) + + return cam_frame_points( + camera, + all_pts, + fov_scale=fov_scale, + fit_mode=fit_mode, + target=target, + ) + + +def cam_project_points( + camera: Camera, + points: np.ndarray, +) -> np.ndarray: + """Project 3D world points to 2D image pixel coordinates. + + Parameters + ---------- + camera : Camera + Perspective camera model. + points : np.ndarray + Array of world coordinates with shape ``(N, 3)`` and dtype ``float64`` + representing (X, Y, Z) points. + + Returns + ------- + np.ndarray + Projected image coordinates array with shape ``(N, 2)`` and dtype + ``float64`` in pixel units ``(u, v)``. + """ + pts = np.asarray(points, dtype=np.float64) + if pts.ndim == 1: + pts = pts[None, :] + + pos = np.asarray(camera.pos_world, dtype=np.float64) + rel_pts = pts - pos + + rot_mat = camera.rot_world.as_matrix() + cam_pts = rel_pts @ rot_mat + + depth = -cam_pts[:, 2] + proj_x = camera.focal_length * (cam_pts[:, 0] / depth) + proj_y = camera.focal_length * (cam_pts[:, 1] / depth) + + cx = 0.5 * camera.pixels_num[0] + cy = 0.5 * camera.pixels_num[1] + + px_u = cx + proj_x / camera.pixels_size[0] + px_v = cy + proj_y / camera.pixels_size[1] + + return np.column_stack((px_u, px_v)) + + +def stereo_build_faceon( + camera: Camera, + convergence_degrees: float, + roi_pos: np.ndarray | None = None, +) -> StereoCameras: + """Build a pair with camera zero face on and camera one converging. + + Camera zero is retained unchanged. Camera one is translated along camera + zero's local positive X axis and aimed at ``roi_pos``. When no ROI is + supplied, ``camera.roi_cent_world`` is used. + + Parameters + ---------- + camera : Camera + Base camera for camera zero intrinsics and pose. + convergence_degrees : float + Convergence angle in degrees. + roi_pos : np.ndarray or None, optional + Region of interest target point array with shape ``(3,)`` and dtype + ``float64``. If ``None``, uses ``camera.roi_cent_world``. + + Returns + ------- + StereoCameras + Tuple of ``(camera_0, camera_1)`` representing the stereo rig. + """ + target = _stereo_target(camera, roi_pos) + stand_off = np.linalg.norm(camera.pos_world - target) + baseline = stand_off * np.tan(np.radians(convergence_degrees)) + baseline_dir = camera.rot_world.apply(np.array((1.0, 0.0, 0.0))) + + camera_1 = replace( + camera, + pos_world=camera.pos_world + baseline * baseline_dir, + roi_cent_world=target, + ) + + return camera, cam_look_at(camera_1, target) + + +def stereo_build_symmetric( + camera: Camera, + convergence_degrees: float, + roi_pos: np.ndarray | None = None, +) -> StereoCameras: + """Build a symmetric convergent pair centred on a reference camera. + + The reference camera supplies the midpoint pose and intrinsics. Both + returned cameras are placed on its local X axis and aimed at ``roi_pos``. + + Parameters + ---------- + camera : Camera + Reference central camera defining midpoint pose and intrinsics. + convergence_degrees : float + Total convergence angle between the two cameras in degrees. + roi_pos : np.ndarray or None, optional + Region of interest target point array with shape ``(3,)`` and dtype + ``float64``. If ``None``, uses ``camera.roi_cent_world``. + + Returns + ------- + StereoCameras + Tuple of ``(camera_0, camera_1)`` representing the symmetric stereo rig. + """ + target = _stereo_target(camera, roi_pos) + stand_off = np.linalg.norm(camera.pos_world - target) + half_angle = 0.5 * np.radians(convergence_degrees) + baseline = 2.0 * stand_off * np.tan(half_angle) + baseline_dir = camera.rot_world.apply(np.array((1.0, 0.0, 0.0))) + + camera_0 = replace( + camera, + pos_world=camera.pos_world - 0.5 * baseline * baseline_dir, + roi_cent_world=target, + ) + + camera_1 = replace( + camera, + pos_world=camera.pos_world + 0.5 * baseline * baseline_dir, + roi_cent_world=target, + ) + + return cam_look_at(camera_0, target), cam_look_at(camera_1, target) + + +def stereo_calc_extrinsics( + camera_0: Camera, + camera_1: Camera, +) -> StereoExtrinsics: + """Calculate the camera zero to camera one rigid transformation. + + Parameters + ---------- + camera_0 : Camera + First camera (reference frame 0). + camera_1 : Camera + Second camera (target frame 1). + + Returns + ------- + StereoExtrinsics + Rigid transformation containing rotation and translation. + """ + rotation = camera_1.rot_world.inv() * camera_0.rot_world + translation = camera_1.rot_world.inv().apply( + camera_0.pos_world - camera_1.pos_world + ) + + return StereoExtrinsics(rotation, translation) + + +def stereo_calc_baseline(camera_0: Camera, camera_1: Camera) -> float: + """Calculate the Euclidean distance between the camera centres. + + Parameters + ---------- + camera_0 : Camera + First camera. + camera_1 : Camera + Second camera. + + Returns + ------- + float + Distance between camera positions in world length units. + """ + return float(np.linalg.norm(camera_1.pos_world - camera_0.pos_world)) + + +def stereo_calc_stand_off( + camera_0: Camera, + camera_1: Camera, + roi_pos: np.ndarray, +) -> float: + """Calculate midpoint to ROI standoff distance for a stereo pair. + + Parameters + ---------- + camera_0 : Camera + First camera. + camera_1 : Camera + Second camera. + roi_pos : np.ndarray + Region of interest target coordinate array with shape ``(3,)`` and + dtype ``float64``. + + Returns + ------- + float + Euclidean distance from stereo midpoint to ROI in world units. + """ + midpoint = 0.5 * (camera_0.pos_world + camera_1.pos_world) + roi = np.asarray(roi_pos, dtype=np.float64) + + return float(np.linalg.norm(midpoint - roi)) + + +def stereo_calc_angles(camera_0: Camera, camera_1: Camera) -> StereoAngles: + """Calculate relative Euler angles and optical axis convergence. + + Parameters + ---------- + camera_0 : Camera + First camera. + camera_1 : Camera + Second camera. + + Returns + ------- + StereoAngles + Relative Euler angles (degrees) and convergence angle (degrees). + """ + extrinsics = stereo_calc_extrinsics(camera_0, camera_1) + + optical_0 = -camera_0.rot_world.as_matrix()[:, 2] + optical_1 = -camera_1.rot_world.as_matrix()[:, 2] + cosine = np.clip(np.dot(optical_0, optical_1), -1.0, 1.0) + + return StereoAngles( + extrinsics.rotation_cam1_from_cam0.as_euler("xyz", degrees=True), + float(np.degrees(np.arccos(cosine))), + ) + + +def stereo_build_from_calibration( + calibration_path: Path, + pos_world_0: np.ndarray, + rot_world_0: Rotation, + focal_length: float, +) -> StereoCameras: + """Build stereo cameras from a legacy PyVale YAML calibration file. + + Parameters + ---------- + calibration_path : pathlib.Path + Path to the calibration YAML file. + pos_world_0 : np.ndarray + World position array for camera 0 with shape ``(3,)`` and dtype + ``float64``. + rot_world_0 : scipy.spatial.transform.Rotation + World orientation for camera 0. + focal_length : float + Focal length in world length units. + + Returns + ------- + StereoCameras + Tuple of ``(camera_0, camera_1)`` configured according to calibration. + """ + parameters = yaml.safe_load(Path(calibration_path).read_text()) + + camera_0 = _camera_from_calibration( + parameters, + 0, + pos_world_0, + rot_world_0, + focal_length, + ) + + rotation = Rotation.from_euler( + "xyz", + ( + parameters["Theta [deg]"], + parameters["Phi [deg]"], + parameters["Psi [deg]"], + ), + degrees=True, + ) + + translation = np.array( + ( + parameters["Tx [mm]"], + parameters["Ty [mm]"], + parameters["Tz [mm]"], + ), + dtype=np.float64, + ) + + rot_world_1 = rot_world_0 * rotation.inv() + pos_world_1 = np.asarray(pos_world_0, dtype=np.float64) - rot_world_1.apply( + translation + ) + + camera_1 = _camera_from_calibration( + parameters, + 1, + pos_world_1, + rot_world_1, + focal_length, + ) + + return camera_0, camera_1 + + +def stereo_save_calibration_yaml( + camera_0: Camera, + camera_1: Camera, + calibration_path: Path, +) -> None: + """Save two cameras in PyVale's legacy YAML calibration format. + + Parameters + ---------- + camera_0 : Camera + Camera 0. + camera_1 : Camera + Camera 1. + calibration_path : pathlib.Path + Output path to save the YAML file. + """ + Path(calibration_path).parent.mkdir(parents=True, exist_ok=True) + Path(calibration_path).write_text( + yaml.safe_dump(_stereo_calibration_parameters(camera_0, camera_1)) + ) + + +def stereo_save_calibration_matchid( + camera_0: Camera, + camera_1: Camera, + calibration_path: Path, +) -> None: + """Save two cameras in the legacy MatchID ``.caldat`` format. + + Parameters + ---------- + camera_0 : Camera + Camera 0. + camera_1 : Camera + Camera 1. + calibration_path : pathlib.Path + Output path to save the MatchID calibration file. + """ + parameters = _stereo_calibration_parameters(camera_0, camera_1) + Path(calibration_path).parent.mkdir(parents=True, exist_ok=True) + Path(calibration_path).write_text( + "\n".join(f"{key};{value}" for key, value in parameters.items()) + ) + + +def _stereo_target( + camera: Camera, + roi_pos: np.ndarray | None, +) -> np.ndarray: + """Return a validated stereo convergence target.""" + + target = np.asarray( + camera.roi_cent_world if roi_pos is None else roi_pos, + dtype=np.float64, + ) + + if target.shape != (3,): + raise ValueError("roi_pos must contain exactly three coordinates.") + + if np.linalg.norm(camera.pos_world - target) < 1.0e-12: + raise ValueError("Camera position and stereo ROI are coincident.") + + return target + + +def _camera_from_calibration( + parameters: dict[str, float], + camera_index: int, + pos_world: np.ndarray, + rot_world: Rotation, + focal_length: float, +) -> Camera: + """Build one render camera from legacy calibration parameters.""" + + prefix = f"Cam{camera_index}" + + pixels_num = np.array( + ( + int(2.0 * parameters[f"{prefix}_Cx [pixels]"]), + int(2.0 * parameters[f"{prefix}_Cy [pixels]"]), + ), + ) + + pixels_size = np.array( + ( + focal_length / parameters[f"{prefix}_Fx [pixels]"], + focal_length / parameters[f"{prefix}_Fy [pixels]"], + ), + ) + + return Camera( + pixels_num=pixels_num, + pixels_size=pixels_size, + pos_world=pos_world, + rot_world=rot_world, + roi_cent_world=np.zeros(3), + focal_length=focal_length, + distortion_k1=parameters[f"{prefix}_Kappa 1"], + distortion_k2=parameters[f"{prefix}_Kappa 2"], + distortion_k3=parameters[f"{prefix}_Kappa 3"], + distortion_p1=parameters[f"{prefix}_P1"], + distortion_p2=parameters[f"{prefix}_P2"], + c0=parameters[f"{prefix}_Cx [pixels]"], + c1=parameters[f"{prefix}_Cy [pixels]"], + ) + + +def _stereo_calibration_parameters( + camera_0: Camera, + camera_1: Camera, +) -> dict[str, float]: + """Format camera intrinsics and extrinsics for legacy serializers.""" + + extrinsics = stereo_calc_extrinsics(camera_0, camera_1) + rotation = extrinsics.rotation_cam1_from_cam0.as_euler("xyz", degrees=True) + parameters: dict[str, float] = {} + + for camera_index, camera in enumerate((camera_0, camera_1)): + prefix = f"Cam{camera_index}" + parameters.update( + { + f"{prefix}_Fx [pixels]": float( + camera.focal_length / camera.pixels_size[0] + ), + f"{prefix}_Fy [pixels]": float( + camera.focal_length / camera.pixels_size[1] + ), + f"{prefix}_Fs [pixels]": 0.0, + f"{prefix}_Kappa 1": camera.distortion_k1, + f"{prefix}_Kappa 2": camera.distortion_k2, + f"{prefix}_Kappa 3": camera.distortion_k3, + f"{prefix}_P1": camera.distortion_p1, + f"{prefix}_P2": camera.distortion_p2, + f"{prefix}_Cx [pixels]": float(camera.c0), + f"{prefix}_Cy [pixels]": float(camera.c1), + } + ) + + parameters.update( + { + "Tx [mm]": float(extrinsics.translation_cam1_in_cam0[0]), + "Ty [mm]": float(extrinsics.translation_cam1_in_cam0[1]), + "Tz [mm]": float(extrinsics.translation_cam1_in_cam0[2]), + "Theta [deg]": float(rotation[0]), + "Phi [deg]": float(rotation[1]), + "Psi [deg]": float(rotation[2]), + } + ) + return parameters + + +def pixel_vec_leng( + field_of_view: np.ndarray, + pixels_size: float, +) -> tuple[np.ndarray, np.ndarray]: + """Build pixel centre coordinate vectors for an orthographic camera. + + Parameters + ---------- + field_of_view : np.ndarray + Field of view dimensions with shape ``(2,)`` and dtype ``float64`` + representing ``(fov_x, fov_y)``. + pixels_size : float + Physical pixel size in length units. + + Returns + ------- + tuple[np.ndarray, np.ndarray] + Tuple of ``(px_vec_x, px_vec_y)`` coordinate vectors, each with 1D + shape and dtype ``float64``. + """ + return ( + np.arange(pixels_size / 2.0, field_of_view[0], pixels_size), + np.arange(pixels_size / 2.0, field_of_view[1], pixels_size), + ) + + +def pixel_grid_leng( + field_of_view: np.ndarray, + pixels_size: float, +) -> tuple[np.ndarray, np.ndarray]: + """Build pixel centre coordinate grids for an orthographic camera. + + Parameters + ---------- + field_of_view : np.ndarray + Field of view dimensions with shape ``(2,)`` and dtype ``float64`` + representing ``(fov_x, fov_y)``. + pixels_size : float + Physical pixel size in length units. + + Returns + ------- + tuple[np.ndarray, np.ndarray] + Tuple of 2D grid arrays ``(grid_x, grid_y)`` with dtype ``float64``. + """ + return np.meshgrid(*pixel_vec_leng(field_of_view, pixels_size)) + + +def subpixel_vec_leng( + field_of_view: np.ndarray, + pixels_size: float, + subsample: int, +) -> tuple[np.ndarray, np.ndarray]: + """Build sub pixel centre coordinate vectors. + + Parameters + ---------- + field_of_view : np.ndarray + Field of view dimensions with shape ``(2,)`` and dtype ``float64`` + representing ``(fov_x, fov_y)``. + pixels_size : float + Physical pixel size in length units. + subsample : int + Number of sub pixel samples per pixel dimension. + + Returns + ------- + tuple[np.ndarray, np.ndarray] + Tuple of ``(subpx_vec_x, subpx_vec_y)`` coordinate vectors with dtype + ``float64``. + """ + spacing = pixels_size / subsample + return ( + np.arange(spacing / 2.0, field_of_view[0], spacing), + np.arange(spacing / 2.0, field_of_view[1], spacing), + ) + + +def subpixel_grid_leng( + field_of_view: np.ndarray, + pixels_size: float, + subsample: int, +) -> tuple[np.ndarray, np.ndarray]: + """Build sub pixel centre coordinate grids. + + Parameters + ---------- + field_of_view : np.ndarray + Field of view dimensions with shape ``(2,)`` and dtype ``float64`` + representing ``(fov_x, fov_y)``. + pixels_size : float + Physical pixel size in length units. + subsample : int + Number of sub pixel samples per pixel dimension. + + Returns + ------- + tuple[np.ndarray, np.ndarray] + Tuple of 2D sub pixel grid arrays ``(subgrid_x, subgrid_y)`` with + dtype ``float64``. + """ + return np.meshgrid( + *subpixel_vec_leng(field_of_view, pixels_size, subsample), + ) + + +def crop_image_rectangle( + image: np.ndarray, + pixels_num: np.ndarray, +) -> np.ndarray: + """Crop an image to its camera extent from the upper left corner. + + Parameters + ---------- + image : np.ndarray + Input image array with shape ``(height, width)`` or + ``(height, width, channels)``. + pixels_num : np.ndarray + Target pixel resolution array with shape ``(2,)`` and dtype ``int32`` + representing ``(width, height)``. + + Returns + ------- + np.ndarray + Cropped image array with shape ``(pixels_num[1], pixels_num[0], ...)``. + """ + return image[: pixels_num[1], : pixels_num[0]] + + +def average_subpixel_image(image: np.ndarray, subsample: int) -> np.ndarray: + """Average square sub pixel blocks into output pixels. + + Parameters + ---------- + image : np.ndarray + Sub sampled image array with shape + ``(subsample * height, subsample * width)`` and float or int dtype. + subsample : int + Sub pixel factor per dimension. + + Returns + ------- + np.ndarray + Averaged image array with shape ``(height, width)`` and dtype + ``float64``. + """ + if subsample <= 1: + return image + + kernel = np.ones((subsample, subsample)) / (subsample**2) + convolved = convolve2d(image, kernel, mode="same") + start = round(subsample / 2.0) - 1 + + return convolved[start::subsample, start::subsample] + + +__all__ = [ + "EFrameFit", + "StereoAngles", + "StereoCameras", + "StereoExtrinsics", + "average_subpixel_image", + "cam_calc_leng_per_px", + "cam_calc_px_per_leng", + "cam_coverage_to_fov_scale", + "cam_fov_scale_to_coverage", + "cam_frame_mesh", + "cam_frame_points", + "cam_frame_scene", + "cam_look_at", + "cam_pos_frame_points", + "cam_project_points", + "crop_image_rectangle", + "pixel_grid_leng", + "pixel_vec_leng", + "subpixel_grid_leng", + "subpixel_vec_leng", + "stereo_build_faceon", + "stereo_build_from_calibration", + "stereo_build_symmetric", + "stereo_calc_angles", + "stereo_calc_baseline", + "stereo_calc_extrinsics", + "stereo_calc_stand_off", + "stereo_save_calibration_matchid", + "stereo_save_calibration_yaml", +] diff --git a/src/pyvale/render/capabilities.py b/src/pyvale/render/capabilities.py new file mode 100644 index 000000000..2c6a3079f --- /dev/null +++ b/src/pyvale/render/capabilities.py @@ -0,0 +1,35 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Immutable renderer capability declarations.""" + +from dataclasses import dataclass + +from .mesh import EElementType + + +@dataclass(frozen=True, slots=True) +class RenderCapabilities: + """Features advertised by a renderer before a render request. + + Parameters + ---------- + element_types : frozenset[EElementType] + Surface element topologies accepted by the renderer. + supports_lights : bool + Whether explicit :class:`~pyvale.render.Light` objects are supported. + supports_camera_distortion : bool + Whether camera distortion parameters are supported. + supports_psf : bool + Whether point spread function parameters are supported. + """ + + element_types: frozenset[EElementType] + supports_lights: bool + supports_camera_distortion: bool + supports_psf: bool + + +__all__ = ["RenderCapabilities"] diff --git a/src/pyvale/render/errors.py b/src/pyvale/render/errors.py new file mode 100644 index 000000000..0290df88a --- /dev/null +++ b/src/pyvale/render/errors.py @@ -0,0 +1,53 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Rendering validation errors.""" + +from dataclasses import dataclass + + +@dataclass(frozen=True, slots=True) +class ValidationIssue: + """One input problem found before rendering begins. + + Parameters + ---------- + path : str + Dotted path to the invalid input. + code : str + Stable, machine readable issue category. + message : str + Human readable explanation of the problem. + """ + + path: str + code: str + message: str + + +class RenderInputError(ValueError): + """Raised when a render request has one or more invalid inputs. + + Parameters + ---------- + issues : tuple[ValidationIssue, ...] + All validation issues detected for one render request. + + Attributes + ---------- + issues : tuple[ValidationIssue, ...] + All validation issues supplied at construction. + """ + + def __init__(self, issues: tuple[ValidationIssue, ...]) -> None: + """Create an error whose text combines all validation issues.""" + self.issues = issues + text = "\n".join( + f"{issue.path} [{issue.code}]: {issue.message}" for issue in issues + ) + super().__init__(text) + + +__all__ = ["RenderInputError", "ValidationIssue"] diff --git a/src/pyvale/render/feebee.py b/src/pyvale/render/feebee.py new file mode 100644 index 000000000..429ea93b8 --- /dev/null +++ b/src/pyvale/render/feebee.py @@ -0,0 +1,600 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Feebee ray tracer scene definitions and renderer scaffold. + +Feebee is pyvale's future ray tracing backend - these are stubs/placeholders +that will not be implemented until Feebee is merged. +""" + +from dataclasses import dataclass, field +from enum import Enum +from pathlib import Path + +import numpy as np + +from .capabilities import RenderCapabilities +from .errors import ValidationIssue +from .mesh import EElementType, Mesh3D +from .renderer3d import IRenderer3D +from .result import RenderResult +from .scene import Scene3D +from .verifyinput import raise_if_issues, verify_scene_3d + + +class EFeebeeMaterialType(Enum): + """Light transport models supplied by Feebee. + + ``UNLIT`` returns the shader colour without lighting. ``DIFFUSE``, + ``SPECULAR``, and ``REFRACTIVE`` use Feebee's ray tracing material paths. + """ + + DIFFUSE = "diffuse" + SPECULAR = "specular" + REFRACTIVE = "refractive" + UNLIT = "unlit" + + +class EFeebeeShading(Enum): + """Normal interpolation methods supported by Feebee. + + ``FLAT`` uses geometric normals. ``BLENDED`` uses the element specific + normal interpolation used by the original ray tracer. ``ANGLE_AVERAGED`` + uses angle averaged node normals for every supported surface topology. + """ + + FLAT = "flat" + BLENDED = "blended" + ANGLE_AVERAGED = "angle_averaged" + + +class EFeebeeTextureSampler(Enum): + """Texture filters planned for Feebee's texture shader.""" + + NEAREST_NEIGHBOUR = "nearest_neighbour" + LANCZOS_2 = "lanczos_2" + LANCZOS_3 = "lanczos_3" + CATMULL_ROM = "catmull_rom" + MITCHELL_NETRAVALI = "mitchell_netravali" + BSPLINE = "bspline" + QUINTIC_SPLINE = "quintic_spline" + + +@dataclass(slots=True) +class FeebeeMaterial: + """Material properties for one Feebee mesh shader. + + Parameters + ---------- + material_type : EFeebeeMaterialType, optional + Ray transport model for the mesh. Defaults to + ``EFeebeeMaterialType.DIFFUSE``. + colour : np.ndarray, optional + RGB multiplier or refractive tint array with shape ``(3,)`` and dtype + ``float64``. Values are linear and non negative; values exceeding 1.0 + are permitted. Defaults to ``np.ones(3)``. + refractive_index : float or None, optional + Material refractive index. Required for refractive materials. + priority : int, optional + Nesting priority used to resolve overlapping refractive volumes. + Defaults to 0. + is_shell : bool, optional + Whether the mesh represents a shell rather than a closed solid. + Defaults to ``False``. + thickness : float, optional + Physical shell thickness. Used only when ``is_shell`` is true. + Defaults to 1.0. + """ + + material_type: EFeebeeMaterialType = EFeebeeMaterialType.DIFFUSE + colour: np.ndarray = field( + default_factory=lambda: np.ones(3, dtype=np.float64), + ) + refractive_index: float | None = None + priority: int = 0 + is_shell: bool = False + thickness: float = 1.0 + + def __post_init__(self) -> None: + """Store the immutable colour vector as a float array.""" + self.colour = np.ascontiguousarray(self.colour, dtype=np.float64) + + +@dataclass(slots=True) +class FeebeeColourShader: + """Face colour shader with a Feebee material. + + Parameters + ---------- + colours : np.ndarray + RGB face colours array with shape + ``(num_frames, num_elements, 3)`` and dtype ``float64``. A single + frame can be used for a static mesh. + material : FeebeeMaterial, optional + Light transport properties applied to the face colours. + """ + + colours: np.ndarray + material: FeebeeMaterial = field(default_factory=FeebeeMaterial) + + def __post_init__(self) -> None: + """Store contiguous double precision face colour data.""" + self.colours = np.ascontiguousarray(self.colours, dtype=np.float64) + + +@dataclass(slots=True) +class FeebeeTextureShader: + """Texture shader with nodal UV coordinates and a Feebee material. + + Parameters + ---------- + uvs : np.ndarray + Nodal UV coordinate array with shape ``(num_nodes, 2)`` and dtype + ``float64`` in the normalized range ``[0.0, 1.0]``. + texture : np.ndarray + Greyscale or RGB texture image array with shape ``(height, width)`` + or ``(height, width, num_channels)``. + material : FeebeeMaterial, optional + Light transport properties applied to sampled texture values. + """ + + uvs: np.ndarray + texture: np.ndarray + material: FeebeeMaterial = field(default_factory=FeebeeMaterial) + + def __post_init__(self) -> None: + """Store contiguous texture coordinate and image arrays.""" + self.uvs = np.ascontiguousarray(self.uvs) + self.texture = np.ascontiguousarray(self.texture) + + +@dataclass(slots=True) +class FeebeeConfig: + """Global options for a Feebee render request. + + Parameters + ---------- + background_colour : np.ndarray, optional + Linear RGB scene background array with shape ``(3,)`` and dtype + ``float64``. Defaults to ``(0.7, 0.7, 0.7)``. + scene_refractive_index : float, optional + Refractive index of the medium that fills the scene. Defaults to + 1.0003. + antialiasing_samples : int, optional + Number of samples evaluated for every pixel. Defaults to 1. + shading : EFeebeeShading, optional + Surface normal interpolation method. Defaults to + ``EFeebeeShading.FLAT``. + texture_sampler : EFeebeeTextureSampler, optional + Filter used by texture shaders. Defaults to + ``EFeebeeTextureSampler.NEAREST_NEIGHBOUR``. + max_depth : int or None, optional + Maximum secondary ray depth. ``None`` requests Feebee's automatic + depth selection. + min_refractive_depth : int or None, optional + Minimum deterministic depth before refractive paths may terminate. + output_dir : pathlib.Path or None, optional + Directory in which Feebee will write rendered image files. + """ + + background_colour: np.ndarray = field( + default_factory=lambda: np.full(3, 0.7, dtype=np.float64), + ) + scene_refractive_index: float = 1.0003 + antialiasing_samples: int = 1 + shading: EFeebeeShading = EFeebeeShading.FLAT + texture_sampler: EFeebeeTextureSampler = ( + EFeebeeTextureSampler.NEAREST_NEIGHBOUR + ) + max_depth: int | None = None + min_refractive_depth: int | None = None + output_dir: Path | None = None + + def __post_init__(self) -> None: + """Store background colour and output directory in normal form.""" + self.background_colour = np.ascontiguousarray( + self.background_colour, + dtype=np.float64, + ) + if self.output_dir is not None: + self.output_dir = Path(self.output_dir) + + +class Feebee(IRenderer3D): + """Prepare pyvale scenes for the forthcoming Feebee ray tracer. + + The class already validates Feebee specific shader, material, and scene + options before any costly scene expansion occurs. The compiled rendering + backend has not yet been migrated, so :meth:`render` currently raises + :class:`NotImplementedError` only after successful validation. + + Parameters + ---------- + config : FeebeeConfig, optional + Global options for the Feebee render request. + """ + + capabilities = RenderCapabilities( + element_types=frozenset(EElementType), + supports_lights=False, + supports_camera_distortion=False, + supports_psf=False, + ) + + def __init__(self, config: FeebeeConfig | None = None) -> None: + """Create a Feebee renderer with global render options.""" + self.config = FeebeeConfig() if config is None else config + + def verify_input( + self, + scene: Scene3D, + ) -> None: + """Validate a Feebee scene without expanding geometry or rendering. + + Parameters + ---------- + scene : Scene3D + Scene containing common meshes with a + :class:`FeebeeColourShader` or :class:`FeebeeTextureShader`. + + Raises + ------ + RenderInputError + If inputs are unsupported or invalid. + """ + if not isinstance(scene, Scene3D): + raise TypeError("Feebee requires a Scene3D.") + + meshes = tuple( + mesh for mesh in scene.meshes if isinstance(mesh, Mesh3D) + ) + issues = list(verify_scene_3d(meshes, scene.cameras, scene.lights)) + if isinstance(self.config, FeebeeConfig): + issues.extend(_verify_config(self.config)) + else: + issues.append( + ValidationIssue( + "config", + "TYPE", + "Expected render.FeebeeConfig.", + ) + ) + + if scene.lights: + issues.append( + ValidationIssue( + "lights", + "UNSUPPORTED", + "Feebee does not support explicit lights yet.", + ), + ) + + frame_count: int | None = None + for mesh_index, mesh in enumerate(scene.meshes): + if not isinstance(mesh, Mesh3D): + issues.append( + ValidationIssue( + f"scene.meshes[{mesh_index}]", + "TYPE", + "Feebee requires common render.Mesh3D objects.", + ) + ) + continue + path = f"meshes[{mesh_index}]" + issues.extend(_verify_mesh(mesh, path)) + + mesh_frame_count = _mesh_frame_count(mesh) + if mesh_frame_count is None or mesh_frame_count == 1: + continue + if frame_count is None: + frame_count = mesh_frame_count + elif frame_count != mesh_frame_count: + issues.append( + ValidationIssue( + path, + "FRAME_COUNT", + "All animated mesh data must have the same frame " + "count.", + ), + ) + + raise_if_issues(tuple(issues)) + + def _render(self, scene: Scene3D) -> RenderResult: + """Reject rendering until the compiled Feebee backend is migrated. + + Parameters + ---------- + scene : Scene3D + Previously validated Feebee scene. + + Raises + ------ + NotImplementedError + Always, until the Feebee C++ dispatch layer is integrated. + """ + raise NotImplementedError( + "Feebee's compiled rendering backend has not been migrated yet.", + ) + + +def _verify_config(config: FeebeeConfig) -> tuple[ValidationIssue, ...]: + """Return cheap validation issues for global Feebee options.""" + if not isinstance(config, FeebeeConfig): + return ( + ValidationIssue("config", "TYPE", "Expected render.FeebeeConfig."), + ) + + issues: list[ValidationIssue] = [] + if ( + config.background_colour.shape != (3,) + or not np.isfinite(config.background_colour).all() + or np.any(config.background_colour < 0.0) + ): + issues.append( + ValidationIssue( + "config.background_colour", + "VALUE", + "Expected three finite, non-negative RGB values.", + ), + ) + if not _is_positive_finite(config.scene_refractive_index): + issues.append( + ValidationIssue( + "config.scene_refractive_index", + "VALUE", + "Expected a positive finite refractive index.", + ), + ) + if config.antialiasing_samples <= 0: + issues.append( + ValidationIssue( + "config.antialiasing_samples", + "VALUE", + "Expected a positive sample count.", + ), + ) + if not isinstance(config.shading, EFeebeeShading): + issues.append( + ValidationIssue( + "config.shading", "TYPE", "Expected EFeebeeShading." + ), + ) + if not isinstance(config.texture_sampler, EFeebeeTextureSampler): + issues.append( + ValidationIssue( + "config.texture_sampler", + "TYPE", + "Expected EFeebeeTextureSampler.", + ), + ) + issues.extend(_verify_depths(config.max_depth, config.min_refractive_depth)) + return tuple(issues) + + +def _verify_depths( + max_depth: int | None, + min_refractive_depth: int | None, +) -> tuple[ValidationIssue, ...]: + """Validate ray depth options used by the original ray tracer.""" + issues: list[ValidationIssue] = [] + for path, value, minimum in ( + ("config.max_depth", max_depth, 1), + ("config.min_refractive_depth", min_refractive_depth, 0), + ): + if value is not None and ( + not isinstance(value, int) or value < minimum + ): + issues.append( + ValidationIssue( + path, "VALUE", f"Expected an integer >= {minimum}." + ), + ) + if ( + isinstance(max_depth, int) + and isinstance(min_refractive_depth, int) + and max_depth < min_refractive_depth + ): + issues.append( + ValidationIssue( + "config.max_depth", + "VALUE", + "Maximum depth must be at least the refractive depth.", + ), + ) + return tuple(issues) + + +def _verify_mesh(mesh: Mesh3D, path: str) -> tuple[ValidationIssue, ...]: + """Return Feebee specific validation issues for one mesh.""" + issues: list[ValidationIssue] = [] + nodes_per_element = { + EElementType.TRI3: 3, + EElementType.TRI6: 6, + EElementType.QUAD4: 4, + EElementType.QUAD8: 8, + EElementType.QUAD9: 9, + } + expected_nodes = nodes_per_element.get(mesh.element_type) + if expected_nodes is None: + issues.append( + ValidationIssue( + path + ".element_type", + "UNSUPPORTED", + "Unsupported Feebee element type.", + ), + ) + elif ( + mesh.connectivity.ndim == 2 + and mesh.connectivity.shape[1] != expected_nodes + ): + issues.append( + ValidationIssue( + path + ".connectivity", + "SHAPE", + f"Expected {expected_nodes} nodes per " + f"{mesh.element_type.value} element.", + ), + ) + + shader = mesh.shader + if not isinstance(shader, (FeebeeColourShader, FeebeeTextureShader)): + issues.append( + ValidationIssue( + path + ".shader", + "OWNERSHIP", + "Expected a render.feebee shader.", + ), + ) + return tuple(issues) + + issues.extend(_verify_material(shader.material, path + ".shader.material")) + if isinstance(shader, FeebeeColourShader): + expected_shape = (None, mesh.connectivity.shape[0], 3) + if ( + shader.colours.ndim != 3 + or shader.colours.shape[1:] != expected_shape[1:] + or not _is_finite_array(shader.colours) + or np.any(shader.colours < 0.0) + ): + issues.append( + ValidationIssue( + path + ".shader.colours", + "SHAPE", + "Expected finite non-negative shape (frames, elements, 3).", + ), + ) + if ( + mesh.displacements is not None + and shader.colours.ndim == 3 + and shader.colours.shape[0] not in (1, mesh.displacements.shape[0]) + ): + issues.append( + ValidationIssue( + path + ".shader.colours", + "FRAME_COUNT", + "Expected one colour frame or one per displacement frame.", + ), + ) + else: + if shader.uvs.shape != (mesh.coords.shape[0], 2): + issues.append( + ValidationIssue( + path + ".shader.uvs", + "SHAPE", + "Expected shape (nodes, 2).", + ), + ) + elif not np.isfinite(shader.uvs).all(): + issues.append( + ValidationIssue( + path + ".shader.uvs", + "FINITE", + "Texture coordinates must be finite.", + ), + ) + if shader.texture.ndim not in (2, 3) or not _is_finite_array( + shader.texture + ): + issues.append( + ValidationIssue( + path + ".shader.texture", + "SHAPE", + "Expected a finite greyscale or RGB texture image.", + ), + ) + return tuple(issues) + + +def _verify_material( + material: FeebeeMaterial, + path: str, +) -> tuple[ValidationIssue, ...]: + """Return validation issues for Feebee material properties.""" + issues: list[ValidationIssue] = [] + if not isinstance(material.material_type, EFeebeeMaterialType): + issues.append( + ValidationIssue( + path + ".material_type", + "TYPE", + "Expected EFeebeeMaterialType.", + ), + ) + if ( + material.colour.shape != (3,) + or not _is_finite_array(material.colour) + or np.any(material.colour < 0.0) + ): + issues.append( + ValidationIssue( + path + ".colour", + "VALUE", + "Expected three finite, non-negative RGB values.", + ), + ) + if material.material_type is EFeebeeMaterialType.REFRACTIVE and ( + material.refractive_index is None + or not _is_positive_finite(material.refractive_index) + ): + issues.append( + ValidationIssue( + path + ".refractive_index", + "VALUE", + "Refractive materials require a positive finite index.", + ), + ) + if not isinstance(material.priority, int): + issues.append( + ValidationIssue(path + ".priority", "TYPE", "Expected an integer."), + ) + if material.is_shell and (not _is_positive_finite(material.thickness)): + issues.append( + ValidationIssue( + path + ".thickness", + "VALUE", + "Shell materials require a positive finite thickness.", + ), + ) + return tuple(issues) + + +def _is_finite_array(values: np.ndarray) -> bool: + """Return whether an array can represent only finite numeric values.""" + try: + return bool(np.isfinite(values).all()) + except TypeError: + return False + + +def _is_positive_finite(value: float | np.number) -> bool: + """Return whether a scalar is finite and strictly positive.""" + try: + return bool(np.isfinite(value) and value > 0.0) + except TypeError: + return False + + +def _mesh_frame_count(mesh: Mesh3D) -> int | None: + """Return the animation frame count represented by one valid mesh.""" + if mesh.displacements is not None: + return mesh.displacements.shape[0] + if ( + isinstance(mesh.shader, FeebeeColourShader) + and mesh.shader.colours.ndim == 3 + ): + return mesh.shader.colours.shape[0] + return None + + +__all__ = [ + "EFeebeeMaterialType", + "EFeebeeShading", + "EFeebeeTextureSampler", + "Feebee", + "FeebeeColourShader", + "FeebeeConfig", + "FeebeeMaterial", + "FeebeeTextureShader", +] diff --git a/src/pyvale/render/imagetools.py b/src/pyvale/render/imagetools.py new file mode 100644 index 000000000..64e76be0a --- /dev/null +++ b/src/pyvale/render/imagetools.py @@ -0,0 +1,227 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""User facing image and texture loading, saving, and preparation helpers.""" + +from enum import Enum +from pathlib import Path + +import numpy as np +from PIL import Image + + +class EImageType(Enum): + """Image file formats supported by :func:`image_save`.""" + + TIFF = ".tiff" + BMP = ".bmp" + PNG = ".png" + + +def image_load(path: Path | str) -> np.ndarray: + """Load an image from disk as a numpy array. + + Parameters + ---------- + path : pathlib.Path or str + Filesystem path to the image. + + Returns + ------- + np.ndarray + Image array with shape ``(height, width)`` for greyscale or + ``(height, width, num_channels)`` for colour images. + """ + img_path = Path(path) + if not img_path.is_file(): + raise FileNotFoundError(f"Image file does not exist: {img_path}") + + with Image.open(img_path) as pil_img: + return np.asarray(pil_img) + + +def image_save( + path: Path | str, + image: np.ndarray, + image_type: EImageType = EImageType.TIFF, + bits: int = 8, +) -> None: + """Save an image in conventional top to bottom row orientation. + + Parameters + ---------- + path : pathlib.Path or str + Destination filesystem path. + image : np.ndarray + Image array with shape ``(height, width)`` or + ``(height, width, num_channels)``. + image_type : EImageType, optional + Format extension (default is ``EImageType.TIFF``). + bits : int, optional + Bit depth (8 or 16). Defaults to 8. + """ + out_path = Path(path) + if out_path.suffix != image_type.value: + out_path = out_path.with_suffix(image_type.value) + + dtype = np.uint8 if bits <= 8 else np.uint16 + img_arr = np.asarray(image, dtype=dtype) + + out_img = Image.fromarray(img_arr[::-1, :]) + out_img.save(out_path) + + +def image_crop( + image: np.ndarray, + x: int, + y: int, + width: int, + height: int, +) -> np.ndarray: + """Crop a rectangular region from an image (top left origin). + + Parameters + ---------- + image : np.ndarray + Input image array with shape ``(height, width)`` or + ``(height, width, num_channels)``. + x, y : int + Top left pixel coordinates of the crop rectangle. + width, height : int + Width and height of the crop region in pixels. + + Returns + ------- + np.ndarray + Cropped subarray with shape ``(height, width, ...)`` and matching + dtype. + + Raises + ------ + ValueError + If crop bounds are invalid or exceed image dimensions. + """ + img_h, img_w = image.shape[:2] + + if x < 0 or y < 0 or width <= 0 or height <= 0: + raise ValueError( + f"Invalid crop dimensions (x={x}, y={y}, w={width}, h={height})." + ) + + if x + width > img_w or y + height > img_h: + raise ValueError( + f"Crop bounds (x={x}+{width}, y={y}+{height}) exceed image shape " + f"({img_w}x{img_h})." + ) + + return image[y : y + height, x : x + width].copy() + + +def image_resize( + image: np.ndarray, + size: tuple[int, int], +) -> np.ndarray: + """Resize an image to ``(width, height)`` in pixels. + + Parameters + ---------- + image : np.ndarray + Input image array with shape ``(height, width)`` or + ``(height, width, num_channels)``. + size : tuple[int, int] + Target ``(width, height)`` dimensions in pixels. + + Returns + ------- + np.ndarray + Resized array with shape ``(size[1], size[0], ...)`` matching input + dtype. + """ + orig_dtype = image.dtype + with Image.fromarray(image) as pil_img: + resized = pil_img.resize(size, resample=Image.Resampling.BILINEAR) + return np.asarray(resized, dtype=orig_dtype) + + +def image_normalise( + image: np.ndarray, + lower: float = 0.0, + upper: float = 1.0, +) -> np.ndarray: + """Normalise finite pixel intensities onto the range ``[lower, upper]``. + + Parameters + ---------- + image : np.ndarray + Input image array with shape ``(height, width)`` or + ``(height, width, num_channels)``. + lower : float, optional + Target lower intensity value. Defaults to 0.0. + upper : float, optional + Target upper intensity value. Defaults to 1.0. + + Returns + ------- + np.ndarray + Normalised image array with shape identical to input and dtype + ``float64``. + """ + arr = np.asarray(image, dtype=np.float64) + min_val = np.nanmin(arr) + max_val = np.nanmax(arr) + + if np.isclose(min_val, max_val): + return np.full_like(arr, lower, dtype=np.float64) + + norm = (arr - min_val) / (max_val - min_val) + return lower + norm * (upper - lower) + + +def image_grayscale(image: np.ndarray) -> np.ndarray: + """Convert an RGB or RGBA image to greyscale using standard luminance. + + Parameters + ---------- + image : np.ndarray + Input image array with shape ``(height, width)`` or + ``(height, width, num_channels)``. + + Returns + ------- + np.ndarray + Greyscale image array with shape ``(height, width)`` and dtype + ``float64``. + + Raises + ------ + ValueError + If the input image array shape is unsupported. + """ + arr = np.asarray(image, dtype=np.float64) + if arr.ndim == 2: + return arr.copy() + + if arr.ndim == 3: + if arr.shape[2] >= 3: + return ( + 0.299 * arr[:, :, 0] + + 0.587 * arr[:, :, 1] + + 0.114 * arr[:, :, 2] + ) + + raise ValueError( + f"Unsupported image shape for grayscale conversion: {arr.shape}" + ) + + +__all__ = [ + "EImageType", + "image_crop", + "image_grayscale", + "image_load", + "image_normalise", + "image_resize", + "image_save", +] diff --git a/src/pyvale/render/light.py b/src/pyvale/render/light.py new file mode 100644 index 000000000..602de7003 --- /dev/null +++ b/src/pyvale/render/light.py @@ -0,0 +1,59 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Common three dimensional light data.""" + +from dataclasses import dataclass, field +from enum import Enum + +import numpy as np + + +class ELightType(Enum): + """Light geometries understood by compatible three dimensional backends.""" + + POINT = "point" + SUN = "sun" + SPOT = "spot" + AREA = "area" + + +@dataclass(slots=True) +class Light: + """A physical light source for a renderer that supports lights. + + Parameters + ---------- + light_type : ELightType + Geometry of the light source. + pos_world : np.ndarray + World position array of the source with shape ``(3,)`` and dtype + ``float64`` representing (X, Y, Z) coordinates. + direction_world : np.ndarray + World space direction vector array with shape ``(3,)`` and dtype + ``float64`` representing (X, Y, Z) components. Relevant to sun and + area lights. + intensity : float + Non negative backend independent light intensity. + shadow_soft_size : float, optional + Source radius used by backends that support soft shadows. + Defaults to 1.5. + """ + + light_type: ELightType + pos_world: np.ndarray + direction_world: np.ndarray + intensity: float + shadow_soft_size: float = 1.5 + + def __post_init__(self) -> None: + """Convert position and direction to double precision arrays.""" + self.pos_world = np.asarray(self.pos_world, dtype=np.float64) + self.direction_world = np.asarray( + self.direction_world, dtype=np.float64 + ) + + +__all__ = ["ELightType", "Light"] diff --git a/src/pyvale/render/mesh.py b/src/pyvale/render/mesh.py new file mode 100644 index 000000000..7048705b8 --- /dev/null +++ b/src/pyvale/render/mesh.py @@ -0,0 +1,75 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Renderer independent surface mesh data.""" + +from dataclasses import dataclass +from enum import Enum + +import numpy as np + + +class EElementType(Enum): + """Surface element topologies supported by the 3D render API.""" + + TRI3 = "tri3" + TRI6 = "tri6" + QUAD4 = "quad4" + QUAD8 = "quad8" + QUAD9 = "quad9" + + +_NODES_PER_ELEMENT = { + EElementType.TRI3: 3, + EElementType.TRI6: 6, + EElementType.QUAD4: 4, + EElementType.QUAD8: 8, + EElementType.QUAD9: 9, +} + + +@dataclass(slots=True) +class Mesh3D: + """A deformable surface mesh prepared for a three dimensional renderer. + + Parameters + ---------- + element_type : EElementType + Topology of every element in ``connectivity``. + coords : np.ndarray + World coordinates array with shape ``(num_nodes, 3)`` and dtype + ``float64`` representing (X, Y, Z) coordinates of each node. + connectivity : np.ndarray + Zero based element connectivity table with shape + ``(num_elements, nodes_per_element)`` and dtype ``uintp`` or ``int_``. + shader : object + Backend owned material or shader definition. + displacements : np.ndarray or None, optional + Nodal displacements array with shape + ``(num_frames, num_nodes, 3)`` and dtype ``float64`` representing + (dX, dY, dZ) displacements for each frame. + """ + + element_type: EElementType + coords: np.ndarray + connectivity: np.ndarray + shader: object + displacements: np.ndarray | None = None + + def __post_init__(self) -> None: + """Convert array data to contiguous arrays with renderer dtypes.""" + self.coords = np.ascontiguousarray(self.coords, dtype=np.float64) + self.connectivity = np.ascontiguousarray( + self.connectivity, + dtype=np.uintp, + ) + if self.displacements is not None: + self.displacements = np.ascontiguousarray( + self.displacements, + dtype=np.float64, + ) + + +__all__ = ["EElementType", "Mesh3D"] diff --git a/src/pyvale/render/meshtools.py b/src/pyvale/render/meshtools.py new file mode 100644 index 000000000..331f08f83 --- /dev/null +++ b/src/pyvale/render/meshtools.py @@ -0,0 +1,458 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Conversion and geometric transformations for render surface meshes.""" + +from collections.abc import Sequence +from dataclasses import replace + +import numpy as np +from scipy.spatial.transform import Rotation + +from pyvale.dataio.meshconv import ( + enforce_mesh_convention, + extract_surf_mesh, + is_mesh_2d, +) +from pyvale.dataio.simdata import SimData + +from .mesh import EElementType, Mesh3D + + +def mesh3d_from_simdata( + sim_data: SimData, + shader: object, + displacement_keys: Sequence[str] | None = None, +) -> Mesh3D: + """Build one surface :class:`Mesh3D` from simulation data. + + Parameters + ---------- + sim_data : pyvale.dataio.SimData + Simulation data containing coordinates, connectivity, and optionally + nodal displacement fields. + shader : object + Backend owned material or shader definition for the mesh. + displacement_keys : Sequence[str] or None, optional + Names of the three displacement components. ``None`` omits motion. + + Returns + ------- + Mesh3D + Renderer independent surface mesh data. + """ + prepared = enforce_mesh_convention(sim_data) + + if not is_mesh_2d(prepared): + prepared = extract_surf_mesh(prepared) + + coords, connectivity = _single_surface_table(prepared) + element_type = _element_type_from_nodes(connectivity.shape[1]) + displacements = _displacements_from_simdata(prepared, displacement_keys) + + return Mesh3D( + element_type=element_type, + coords=_coords3d(coords), + connectivity=np.ascontiguousarray(connectivity, dtype=np.uintp), + shader=shader, + displacements=displacements, + ) + + +def mesh_bounds(mesh: Mesh3D) -> tuple[np.ndarray, np.ndarray]: + """Calculate the axis aligned bounding box of a mesh. + + Parameters + ---------- + mesh : Mesh3D + Mesh to query. + + Returns + ------- + tuple[np.ndarray, np.ndarray] + Tuple of ``(coord_min, coord_max)`` arrays, each with shape ``(3,)`` + and dtype ``float64`` representing (X, Y, Z) minimum and maximum + extents. + """ + coords = np.asarray(mesh.coords, dtype=np.float64) + + if coords.size == 0: + return np.zeros(3), np.zeros(3) + + return np.min(coords, axis=0), np.max(coords, axis=0) + + +def mesh_center(mesh: Mesh3D) -> np.ndarray: + """Calculate the center of the axis aligned bounding box of a mesh. + + Parameters + ---------- + mesh : Mesh3D + Mesh to query. + + Returns + ------- + np.ndarray + Midpoint of the bounding box with shape ``(3,)`` and dtype + ``float64`` representing (X, Y, Z) center coordinates. + """ + lower, upper = mesh_bounds(mesh) + return 0.5 * (lower + upper) + + +def mesh_translate(mesh: Mesh3D, translation: np.ndarray) -> Mesh3D: + """Translate a mesh by an offset vector without mutating the original. + + Note that translation shifts nodal coordinates but preserves nodal + displacement vectors unchanged. + + Parameters + ---------- + mesh : Mesh3D + Source surface mesh to translate. + translation : np.ndarray + Translation vector array with shape ``(3,)`` or ``(2,)`` and dtype + ``float64`` representing (dX, dY, dZ) offsets. + + Returns + ------- + Mesh3D + New translated mesh instance. + """ + trans = np.asarray(translation, dtype=np.float64) + new_coords = np.asarray(mesh.coords, dtype=np.float64) + trans + return replace(mesh, coords=new_coords) + + +def mesh_rotate( + mesh: Mesh3D, + rotation: Rotation, + pivot: np.ndarray | None = None, +) -> Mesh3D: + """Rotate a mesh around a pivot point. + + Displacement vectors are rotated as vector fields to match coordinate + reorientation. + + Parameters + ---------- + mesh : Mesh3D + Source surface mesh to rotate. + rotation : scipy.spatial.transform.Rotation + Spatial rotation to apply. + pivot : np.ndarray or None, optional + Pivot center point array with shape ``(3,)`` and dtype ``float64``. + If ``None``, defaults to the origin ``(0, 0, 0)``. + + Returns + ------- + Mesh3D + New rotated mesh instance. + """ + coords = np.asarray(mesh.coords, dtype=np.float64) + p_vec = ( + np.zeros(3, dtype=np.float64) + if pivot is None + else np.asarray(pivot, dtype=np.float64) + ) + + rel_coords = coords - p_vec + new_coords = rotation.apply(rel_coords) + p_vec + + new_displacements = None + if getattr(mesh, "displacements", None) is not None: + disp = np.asarray(mesh.displacements, dtype=np.float64) + shape = disp.shape + flat_disp = disp.reshape(-1, 3) + rot_disp = rotation.apply(flat_disp) + new_displacements = rot_disp.reshape(shape) + + return replace(mesh, coords=new_coords, displacements=new_displacements) + + +def mesh_scale( + mesh: Mesh3D, + scale: float | np.ndarray, + pivot: np.ndarray | None = None, +) -> Mesh3D: + """Scale a mesh relative to a pivot point. + + Parameters + ---------- + mesh : Mesh3D + Source surface mesh to scale. + scale : float or np.ndarray + Uniform scale factor as a float or per axis scale array with shape + ``(3,)`` and dtype ``float64`` for (sX, sY, sZ) scaling. + pivot : np.ndarray or None, optional + Pivot center point array with shape ``(3,)`` and dtype ``float64``. + If ``None``, defaults to the origin ``(0, 0, 0)``. + + Returns + ------- + Mesh3D + New scaled mesh instance. + """ + coords = np.asarray(mesh.coords, dtype=np.float64) + p_vec = ( + np.zeros(3, dtype=np.float64) + if pivot is None + else np.asarray(pivot, dtype=np.float64) + ) + s_vec = np.broadcast_to(np.asarray(scale, dtype=np.float64), (3,)) + + new_coords = (coords - p_vec) * s_vec + p_vec + + new_displacements = None + if mesh.displacements is not None: + new_displacements = mesh.displacements * s_vec + + return replace( + mesh, + coords=new_coords, + displacements=new_displacements, + ) + + +def mesh_transform( + mesh: Mesh3D, + translation: np.ndarray | None = None, + rotation: Rotation | None = None, + scale: float | np.ndarray | None = None, + pivot: np.ndarray | None = None, +) -> Mesh3D: + """Apply affine scaling, rotation, and translation in canonical order. + + Order: 1. Scale about pivot, 2. Rotate about pivot, 3. Translate. + + Parameters + ---------- + mesh : Mesh3D + Source surface mesh to transform. + translation : np.ndarray or None, optional + Translation vector with shape ``(3,)`` and dtype ``float64``. + rotation : scipy.spatial.transform.Rotation or None, optional + Rotation to apply. + scale : float or np.ndarray or None, optional + Scaling factor or per axis scale array with shape ``(3,)``. + pivot : np.ndarray or None, optional + Pivot point array with shape ``(3,)`` and dtype ``float64``. + + Returns + ------- + Mesh3D + New transformed mesh instance. + """ + transformed = mesh + + if scale is not None: + transformed = mesh_scale(transformed, scale, pivot=pivot) + + if rotation is not None: + transformed = mesh_rotate(transformed, rotation, pivot=pivot) + + if translation is not None: + transformed = mesh_translate(transformed, translation) + + return transformed + + +def mesh_center_at( + mesh: Mesh3D, + target: np.ndarray = np.array((0.0, 0.0, 0.0)), +) -> Mesh3D: + """Translate a mesh so its bounding box center lies at ``target``. + + Parameters + ---------- + mesh : Mesh3D + Source surface mesh to re centre. + target : np.ndarray, optional + Target center point array with shape ``(3,)`` and dtype ``float64`` + representing (X, Y, Z) coordinates. Defaults to ``(0, 0, 0)``. + + Returns + ------- + Mesh3D + New translated mesh instance. + """ + current_center = mesh_center(mesh) + target_vec = np.asarray(target, dtype=np.float64)[:3] + delta = target_vec - current_center + + return mesh_translate(mesh, delta) + + +def evenly_spaced_frame_indices( + total_frames: int, + num_samples: int, +) -> np.ndarray: + """Return sample indices evenly distributed from 0 to total_frames - 1. + + Parameters + ---------- + total_frames : int + Total number of frames available. + num_samples : int + Desired number of evenly distributed frame samples. + + Returns + ------- + np.ndarray + Array of integer frame indices with shape ``(N,)`` and dtype ``intp``, + where ``N <= num_samples``. + """ + if total_frames <= 0 or num_samples <= 0: + return np.empty(0, dtype=np.intp) + + selected_num = min(total_frames, num_samples) + if selected_num == 1: + return np.array([0], dtype=np.intp) + + return np.array( + [ + frame * (total_frames - 1) // (selected_num - 1) + for frame in range(selected_num) + ], + dtype=np.intp, + ) + + +def first_last_frame_indices(total_frames: int) -> np.ndarray: + """Return indices for the first and last frame. + + Parameters + ---------- + total_frames : int + Total number of available frames. + + Returns + ------- + np.ndarray + Array of frame indices with shape ``(2,)`` (or ``(1,)``/``(0,)``) and + dtype ``intp``. + """ + if total_frames <= 0: + return np.empty(0, dtype=np.intp) + + if total_frames == 1: + return np.array([0], dtype=np.intp) + + return np.array([0, total_frames - 1], dtype=np.intp) + + +def select_frames( + frames: np.ndarray, + indices: Sequence[int] | np.ndarray, +) -> np.ndarray: + """Index a leading frame dimension with integer indices. + + Parameters + ---------- + frames : np.ndarray + Array whose leading dimension is frames, e.g. shape + ``(num_frames, ...)``. + indices : Sequence[int] or np.ndarray + Indices to slice along the leading dimension. + + Returns + ------- + np.ndarray + Sliced array containing only the selected frames. + """ + idx = np.asarray(indices, dtype=np.intp) + + return frames[idx] + + +def _single_surface_table(sim_data: SimData) -> tuple[np.ndarray, np.ndarray]: + """Return the one required surface connectivity table and coordinates.""" + if sim_data.coords is None or sim_data.connect is None: + raise ValueError("SimData must provide coordinates and connectivity.") + + if len(sim_data.connect) != 1: + raise ValueError("SimData must have exactly one connectivity table.") + + return sim_data.coords, next(iter(sim_data.connect.values())) + + +def _coords3d(coords: np.ndarray) -> np.ndarray: + """Return finite render coordinates padded to three dimensions.""" + coords_out = np.ascontiguousarray(coords, dtype=np.float64) + if coords_out.ndim != 2 or coords_out.shape[1] not in (2, 3): + raise ValueError("SimData coordinates must have two or three columns.") + + if coords_out.shape[1] == 2: + coords_out = np.pad(coords_out, ((0, 0), (0, 1))) + + return coords_out + + +def _element_type_from_nodes(nodes_per_element: int) -> EElementType: + """Map a connectivity width to the corresponding render topology.""" + mapping = { + 3: EElementType.TRI3, + 6: EElementType.TRI6, + 4: EElementType.QUAD4, + 8: EElementType.QUAD8, + 9: EElementType.QUAD9, + } + + if nodes_per_element not in mapping: + raise ValueError( + f"Unsupported surface connectivity with {nodes_per_element} " + "nodes per element.", + ) + + return mapping[nodes_per_element] + + +def _displacements_from_simdata( + sim_data: SimData, + displacement_keys: Sequence[str] | None, +) -> np.ndarray | None: + """Extract nodal displacement fields into renderer array order.""" + if displacement_keys is None: + return None + + if sim_data.node_vars is None or len(displacement_keys) not in (2, 3): + raise ValueError("Two or three displacement keys are required.") + + try: + fields = [ + np.asarray(sim_data.node_vars[key], dtype=np.float64) + for key in displacement_keys + ] + except KeyError as error: + raise ValueError( + f"Missing displacement field {error.args[0]!r}." + ) from error + + if any(field.ndim != 2 for field in fields): + raise ValueError( + "Displacement fields must have shape (nodes, frames)." + ) + + displacements = np.stack(fields, axis=2).transpose(1, 0, 2) + + if displacements.shape[2] == 2: + displacements = np.pad(displacements, ((0, 0), (0, 0), (0, 1))) + + return np.ascontiguousarray(displacements) + + +__all__ = [ + "evenly_spaced_frame_indices", + "first_last_frame_indices", + "mesh3d_from_simdata", + "mesh_bounds", + "mesh_center", + "mesh_center_at", + "mesh_rotate", + "mesh_scale", + "mesh_transform", + "mesh_translate", + "select_frames", +] diff --git a/src/pyvale/render/rasterops.py b/src/pyvale/render/rasterops.py new file mode 100644 index 000000000..d529e98a0 --- /dev/null +++ b/src/pyvale/render/rasterops.py @@ -0,0 +1,104 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Private rasterisation helpers used by 2D planar deformation renderers.""" + +import numpy as np + + +def calculate_edge_function( + point_a: np.ndarray, + point_b: np.ndarray, + point_c: np.ndarray, +) -> np.ndarray: + """Evaluate the signed two dimensional edge function. + + Parameters + ---------- + point_a : np.ndarray + First vertex coordinate array with shape ``(2,)`` and dtype + ``float64`` representing (X, Y). + point_b : np.ndarray + Second vertex coordinate array with shape ``(2,)`` and dtype + ``float64`` representing (X, Y). + point_c : np.ndarray + Evaluation point coordinate array with shape ``(2,)`` or ``(2, N)`` + and dtype ``float64`` representing (X, Y). + + Returns + ------- + np.ndarray + Signed edge function value(s) with dtype ``float64``. + """ + return (point_c[0] - point_a[0]) * (point_b[1] - point_a[1]) - ( + point_c[1] - point_a[1] + ) * (point_b[0] - point_a[0]) + + +def calculate_elem_bound_box_low(coord_min: np.ndarray) -> np.ndarray: + """Calculate non negative lower pixel bounds for an element. + + Parameters + ---------- + coord_min : np.ndarray + Minimum coordinate array with shape ``(2,)`` and dtype ``float64`` + representing (min_x, min_y). + + Returns + ------- + np.ndarray + Lower pixel bounding box array with shape ``(2,)`` and dtype ``int32`` + clamped to a minimum of 0. + """ + return np.maximum(np.floor(coord_min).astype(np.int32), 0) + + +def calculate_elem_bound_box_high( + coord_max: np.ndarray, + image_px: int, +) -> np.ndarray: + """Calculate upper pixel bounds for an element. + + Parameters + ---------- + coord_max : np.ndarray + Maximum coordinate array with shape ``(2,)`` and dtype ``float64`` + representing (max_x, max_y). + image_px : int + Maximum image dimension in pixels. + + Returns + ------- + np.ndarray + Upper pixel bounding box array with shape ``(2,)`` and dtype ``int32`` + clamped to ``image_px``. + """ + return np.minimum(np.ceil(coord_max).astype(np.int32), image_px) + + +def format_image_number(image_number: int, width: int) -> str: + """Format an image index with leading zeroes. + + Parameters + ---------- + image_number : int + Zero based image index. + width : int + Total character width for zero padding. + + Returns + ------- + str + Zero padded image number string. + """ + return str(image_number).zfill(width) + + +__all__ = [ + "calculate_edge_function", + "calculate_elem_bound_box_high", + "calculate_elem_bound_box_low", + "format_image_number", +] diff --git a/src/pyvale/render/renderer3d.py b/src/pyvale/render/renderer3d.py new file mode 100644 index 000000000..38fd9b9c2 --- /dev/null +++ b/src/pyvale/render/renderer3d.py @@ -0,0 +1,79 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""The interface for 3D renderers.""" + +from abc import ABC, abstractmethod + +from .result import RenderResult +from .scene import Scene3D + + +class IRenderer3D(ABC): + """Abstract interface for 3D renderers. + + The public :meth:`render` method always validates a concrete scene before + the backend may allocate image buffers or start rendering. + """ + + def render( + self, + scene: Scene3D, + ) -> RenderResult: + """Validate and render a three dimensional scene. + + Parameters + ---------- + scene : Scene3D + Complete rendering request. + + Returns + ------- + RenderResult + Images and optional output paths produced by the backend. + + Raises + ------ + RenderInputError + If the scene is not supported or contains invalid data. + """ + self.verify_input(scene) + return self._render(scene) + + @abstractmethod + def verify_input( + self, + scene: Scene3D, + ) -> None: + """Validate a render request without expensive preparation. + + Parameters + ---------- + scene : Scene3D + Complete rendering request to validate. + + Raises + ------ + RenderInputError + If the request is invalid or unavailable in this backend. + """ + + @abstractmethod + def _render(self, scene: Scene3D) -> RenderResult: + """Render a backend plan that has already passed validation. + + Parameters + ---------- + scene : Scene3D + Previously validated rendering request. + + Returns + ------- + RenderResult + Images and optional output paths generated by the backend. + """ + + +__all__ = ["IRenderer3D"] diff --git a/src/pyvale/render/result.py b/src/pyvale/render/result.py new file mode 100644 index 000000000..ac7619477 --- /dev/null +++ b/src/pyvale/render/result.py @@ -0,0 +1,33 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Renderer result containers.""" + +from dataclasses import dataclass +from pathlib import Path + +import numpy as np + + +@dataclass(frozen=True, slots=True) +class RenderResult: + """Output from a three dimensional renderer. + + Parameters + ---------- + images : np.ndarray or None + Image stack with shape + ``(num_frames, num_cameras, height, width, num_channels)`` + and dtype ``uint8`` or ``float32``. ``None`` is used by file only + backends. + output_paths : tuple[Path, ...], optional + Paths written by a backend that persists rendered images. + """ + + images: np.ndarray | None + output_paths: tuple[Path, ...] = () + + +__all__ = ["RenderResult"] diff --git a/src/pyvale/render/riley.py b/src/pyvale/render/riley.py new file mode 100644 index 000000000..3aaabd46c --- /dev/null +++ b/src/pyvale/render/riley.py @@ -0,0 +1,472 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Riley renderer adapter using Riley's native public mesh and shader API.""" + +from dataclasses import dataclass, field +from pathlib import Path + +import numpy as np +import riley + +from .camera import Camera +from .capabilities import RenderCapabilities +from .errors import ValidationIssue +from .mesh import EElementType, Mesh3D +from .renderer3d import IRenderer3D +from .result import RenderResult +from .scene import Scene3D +from .verifyinput import mesh_convention_issues, raise_if_issues + + +@dataclass(slots=True, kw_only=True) +class RileyFunctionShader: + """An analytic Riley shader evaluated from mesh coordinates. + + Parameters + ---------- + builtin : riley.FuncShaderBuiltin, optional + Built in function pattern identifier. Defaults to + ``riley.FuncShaderBuiltin.checker``. + coord_mode : riley.FuncCoordMode, optional + Coordinate space for function evaluation. Defaults to + ``riley.FuncCoordMode.world_reference``. + parameters : riley.FuncShaderParams, optional + Function evaluation parameters. + uvs : np.ndarray or None, optional + Nodal UV coordinate array with shape ``(num_nodes, 2)`` and dtype + ``float64``. + bits : int, optional + Output bit depth (8 or 16). Defaults to 8. + scaling : riley.ScaleStrategy, optional + Intensity scaling strategy. Defaults to ``riley.ScaleStrategy.none``. + """ + + builtin: riley.FuncShaderBuiltin = riley.FuncShaderBuiltin.checker + coord_mode: riley.FuncCoordMode = riley.FuncCoordMode.world_reference + parameters: riley.FuncShaderParams = field( + default_factory=riley.FuncShaderParams, + ) + uvs: np.ndarray | None = None + bits: int = 8 + scaling: riley.ScaleStrategy = riley.ScaleStrategy.none + + +@dataclass(slots=True, kw_only=True) +class RileyTextureShader: + """A Riley image texture and its nodal UV coordinates. + + Parameters + ---------- + uvs : np.ndarray + Nodal UV coordinate array with shape ``(num_nodes, 2)`` and dtype + ``float64`` in the normalized range ``[0.0, 1.0]``. + texture : np.ndarray + Texture image array with shape ``(height, width)`` or + ``(height, width, num_channels)``. + sample : riley.TextureSample, optional + Texture filter/interpolation mode. Defaults to + ``riley.TextureSample.cubic_catmull_rom``. + sample_mode : riley.TextureSampleMode, optional + Texture sampling execution mode. Defaults to + ``riley.TextureSampleMode.lut_lerp``. + bits : int, optional + Output bit depth (8 or 16). Defaults to 8. + scaling : riley.ScaleStrategy, optional + Intensity scaling strategy. Defaults to ``riley.ScaleStrategy.none``. + """ + + uvs: np.ndarray + texture: np.ndarray + sample: riley.TextureSample = riley.TextureSample.cubic_catmull_rom + sample_mode: riley.TextureSampleMode = riley.TextureSampleMode.direct + bits: int = 8 + scaling: riley.ScaleStrategy = riley.ScaleStrategy.none + + +@dataclass(slots=True, kw_only=True) +class RileyNodalShader: + """A scalar or colour field defined at mesh nodes. + + Parameters + ---------- + field : np.ndarray + Nodal field array with shape ``(num_nodes, num_frames)`` or + ``(num_nodes, num_frames, num_channels)`` and dtype ``float64``. + bits : int, optional + Output bit depth (8 or 16). Defaults to 8. + scaling : riley.ScaleStrategy, optional + Intensity scaling strategy. Defaults to ``riley.ScaleStrategy.auto``. + scale_over : riley.ScaleOver, optional + Normalization domain (per frame or over all frames). Defaults to + ``riley.ScaleOver.over_frames``. + """ + + field: np.ndarray + bits: int = 8 + scaling: riley.ScaleStrategy = riley.ScaleStrategy.auto + scale_over: riley.ScaleOver = riley.ScaleOver.over_frames + + +class Riley(IRenderer3D): + """Render native Riley meshes through pyvale's common scene container. + + Riley owns its complete mesh and shader representation. Construct meshes + with :class:`riley.Mesh`, including its texture, nodal field, or analytic + function shader settings, then place them in :class:`Scene3D`. + + Parameters + ---------- + config : riley.RasterConfig + Actual Riley raster configuration passed directly to + :func:`riley.raster`. + output_dir : pathlib.Path or None, optional + Directory to which Riley writes requested output. ``None`` preserves + Riley's default output behaviour. + """ + + capabilities = RenderCapabilities( + element_types=frozenset(EElementType), + supports_lights=False, + supports_camera_distortion=True, + supports_psf=True, + ) + + def __init__( + self, + config: riley.RasterConfig, + output_dir: Path | None = None, + ) -> None: + """Create a renderer around a concrete Riley raster configuration.""" + self.config = config + self.output_dir = output_dir + + def verify_input(self, scene: Scene3D) -> None: + """Verify native Riley meshes and common cameras before rasterisation. + + Parameters + ---------- + scene : Scene3D + Scene containing native Riley meshes and no explicit lights. + + Raises + ------ + RenderInputError + If configuration, mesh, camera, or lighting input is unsupported. + """ + issues: list[ValidationIssue] = [] + + if not isinstance(scene, Scene3D): + issues.append( + ValidationIssue( + "scene", + "TYPE", + "Expected a Scene3D.", + ) + ) + raise_if_issues(tuple(issues)) + return + + if not isinstance(self.config, riley.RasterConfig): + issues.append( + ValidationIssue( + "config", + "TYPE", + "Expected riley.RasterConfig.", + ) + ) + + if not scene.meshes: + issues.append( + ValidationIssue( + "scene.meshes", + "EMPTY", + "At least one mesh is required.", + ) + ) + + if not scene.cameras: + issues.append( + ValidationIssue( + "scene.cameras", + "EMPTY", + "At least one camera is required.", + ) + ) + + if scene.lights: + issues.append( + ValidationIssue( + "scene.lights", + "UNSUPPORTED", + "Riley does not support lights yet.", + ) + ) + + for mesh_index, mesh in enumerate(scene.meshes): + if not isinstance(mesh, (Mesh3D, riley.Mesh)): + issues.append( + ValidationIssue( + f"scene.meshes[{mesh_index}]", + "TYPE", + "Riley requires render.Mesh3D or riley.Mesh objects.", + ) + ) + continue + + if isinstance(mesh, Mesh3D) and not isinstance( + mesh.shader, + (RileyFunctionShader, RileyNodalShader, RileyTextureShader), + ): + issues.append( + ValidationIssue( + f"scene.meshes[{mesh_index}].shader", + "TYPE", + "Expected a Riley shader description.", + ) + ) + + issues.extend( + mesh_convention_issues( + mesh.coords, + mesh.connectivity + if isinstance(mesh, Mesh3D) + else mesh.connect, + f"scene.meshes[{mesh_index}]", + ) + ) + + issues.extend(_verify_cameras(scene.cameras)) + raise_if_issues(tuple(issues)) + + def _render(self, scene: Scene3D) -> RenderResult: + """Rasterise a previously validated scene exactly once. + + Parameters + ---------- + scene : Scene3D + Validated scene containing native Riley meshes. + + Returns + ------- + RenderResult + Riley images in ``(frame, camera, height, width, channel)`` order. + """ + output_dir = None if self.output_dir is None else str(self.output_dir) + + if self.output_dir is not None: + self.output_dir.mkdir(parents=True, exist_ok=True) + + meshes = [to_riley_mesh(mesh) for mesh in scene.meshes] + cameras = [ + to_riley_camera(camera) for camera in scene.cameras + ] + images = riley.raster( + meshes, + cameras, + self.config, + out_dir=output_dir, + ) + + if images is not None: + images = np.ascontiguousarray(images.transpose(1, 0, 3, 4, 2)) + + return RenderResult(images=images) + + +def _verify_cameras( + cameras: tuple[Camera | riley.Camera, ...], +) -> tuple[ValidationIssue, ...]: + """Perform the common cheap camera checks without requiring common + meshes. + """ + + issues: list[ValidationIssue] = [] + for index, camera in enumerate(cameras): + path = f"scene.cameras[{index}]" + if not isinstance(camera, (Camera, riley.Camera)): + issues.append( + ValidationIssue( + path, + "TYPE", + "Expected a render.Camera or riley.Camera.", + ) + ) + continue + + if not isinstance(camera, Camera): + continue + + if camera.pixels_num.shape != (2,) or np.any(camera.pixels_num <= 0): + issues.append( + ValidationIssue( + path + ".pixels_num", + "VALUE", + "Expected two positive counts.", + ) + ) + + if camera.pixels_size.shape != (2,) or np.any( + camera.pixels_size <= 0.0 + ): + issues.append( + ValidationIssue( + path + ".pixels_size", + "VALUE", + "Expected two positive sizes.", + ) + ) + + if camera.focal_length <= 0.0 or camera.subsample <= 0: + issues.append( + ValidationIssue( + path, + "VALUE", + "Focal length and sub-sampling must be positive.", + ) + ) + + return tuple(issues) + + +def to_riley_camera(camera: Camera | riley.Camera) -> riley.Camera: + """Convert one common perspective camera to a Riley camera. + + Native :class:`riley.Camera` instances are returned unchanged so scenes + may mix cameras built through the render API with cameras loaded + directly from Riley. SciPy reports Euler angles in X, Y, Z order, whereas + Riley stores its camera angles in Z, Y, X order, so this adapter reverses + their storage order at the API boundary. + + Parameters + ---------- + camera : Camera or riley.Camera + Input camera to convert. + + Returns + ------- + riley.Camera + Native Riley camera instance. + """ + if isinstance(camera, riley.Camera): + return camera + + rotation_xyz = camera.rot_world.as_euler("xyz") + + return riley.Camera( + pixels_num=tuple(int(value) for value in camera.pixels_num), + pixels_size=tuple(float(value) for value in camera.pixels_size), + pos_world=tuple(float(value) for value in camera.pos_world), + rot_world=tuple(float(value) for value in rotation_xyz[::-1]), + roi_cent_world=tuple(float(value) for value in camera.roi_cent_world), + focal_length=camera.focal_length, + sub_sample=camera.subsample, + distortion_model=int(camera.distortion_model), + distortion_k1=camera.distortion_k1, + distortion_k2=camera.distortion_k2, + distortion_k3=camera.distortion_k3, + distortion_k4=camera.distortion_k4, + distortion_k5=camera.distortion_k5, + distortion_k6=camera.distortion_k6, + distortion_p1=camera.distortion_p1, + distortion_p2=camera.distortion_p2, + psf_type=int(camera.psf_type), + psf_sigma_x=camera.psf_sigma_x, + psf_sigma_y=camera.psf_sigma_y, + psf_theta=camera.psf_theta, + psf_support_rad=camera.psf_support_rad, + ) + + +_RILEY_MESH_TYPES = { + EElementType.TRI3: riley.MeshType.tri3, + EElementType.TRI6: riley.MeshType.tri6, + EElementType.QUAD4: riley.MeshType.quad4newton, + EElementType.QUAD8: riley.MeshType.quad8, + EElementType.QUAD9: riley.MeshType.quad9, +} + + +def to_riley_mesh(mesh: Mesh3D | riley.Mesh) -> riley.Mesh: + """Convert one common mesh to a native Riley mesh. + + Native :class:`riley.Mesh` instances are returned unchanged so scenes + may mix meshes built through the render API with meshes built directly + through Riley. + + Parameters + ---------- + mesh : Mesh3D or riley.Mesh + Input mesh to convert. + + Returns + ------- + riley.Mesh + Native Riley mesh instance. + + Raises + ------ + TypeError + If mesh shader is unsupported. + """ + if isinstance(mesh, riley.Mesh): + return mesh + + common = { + "mesh_type": _RILEY_MESH_TYPES[mesh.element_type], + "coords": mesh.coords, + "connect": mesh.connectivity, + "disp": mesh.displacements, + } + shader = mesh.shader + + if isinstance(shader, RileyTextureShader): + return riley.Mesh( + shader_type=riley.ShaderType.tex, + uvs=shader.uvs, + texture=shader.texture, + sample=shader.sample, + sample_mode=shader.sample_mode, + bits=shader.bits, + scaling_type=shader.scaling, + **common, + ) + + if isinstance(shader, RileyNodalShader): + return riley.Mesh( + shader_type=riley.ShaderType.nodal, + nodal_field=shader.field, + bits=shader.bits, + scaling_type=shader.scaling, + scale_over=shader.scale_over, + **common, + ) + + if isinstance(shader, RileyFunctionShader): + return riley.Mesh( + shader_type=riley.ShaderType.func, + uvs=shader.uvs, + func_shader_builtin=shader.builtin, + func_shader_coord_mode=shader.coord_mode, + func_shader_params=shader.parameters, + bits=shader.bits, + scaling_type=shader.scaling, + **common, + ) + + raise TypeError( + "Riley Mesh3D.shader must be RileyFunctionShader, " + "RileyTextureShader, or RileyNodalShader." + ) + + +__all__ = [ + "Riley", + "RileyFunctionShader", + "RileyNodalShader", + "RileyTextureShader", + "to_riley_camera", + "to_riley_mesh", +] diff --git a/src/pyvale/render/scene.py b/src/pyvale/render/scene.py new file mode 100644 index 000000000..b13e62f55 --- /dev/null +++ b/src/pyvale/render/scene.py @@ -0,0 +1,37 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Concrete scene input for three dimensional and planar renderers.""" + +from dataclasses import dataclass, field + +import riley + +from .camera import Camera +from .light import Light +from .mesh import Mesh3D + + +@dataclass(slots=True) +class Scene3D: + """A complete three dimensional rendering request. + + Parameters + ---------- + meshes : list[object] + Meshes accepted by the selected backend. + cameras : list[Camera | riley.Camera] + One or more common perspective cameras. Native ``riley.Camera`` + instances are passed through to the Riley renderer unchanged. + lights : list[Light] or None, optional + Explicit scene lights. ``None`` leaves lighting to the backend. + """ + + meshes: list[object] + cameras: list[Camera | riley.Camera] + lights: list[Light] | None = None + + +__all__ = ["Scene3D"] diff --git a/src/pyvale/render/scenetools.py b/src/pyvale/render/scenetools.py new file mode 100644 index 000000000..a6c95d638 --- /dev/null +++ b/src/pyvale/render/scenetools.py @@ -0,0 +1,361 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Spatial layout and multi object arrangement helpers for render scenes.""" + +from collections.abc import Sequence + +import numpy as np +from scipy.spatial.transform import Rotation + +from .mesh import Mesh3D +from .meshtools import ( + mesh_bounds, + mesh_center, + mesh_center_at, + mesh_rotate, + mesh_translate, +) + + +def scene_bounds( + meshes: Sequence[Mesh3D], +) -> tuple[np.ndarray, np.ndarray]: + """Calculate the bounding box enclosing all meshes in a scene. + + Parameters + ---------- + meshes : Sequence[Mesh3D] + Collection of meshes to measure. + + Returns + ------- + tuple[np.ndarray, np.ndarray] + Tuple of ``(coord_min, coord_max)`` arrays, each with shape ``(3,)`` + and dtype ``float64`` representing (X, Y, Z) minimum and maximum + extents of the enclosing bounding box. + """ + if not meshes: + return np.zeros(3), np.zeros(3) + + lowers, uppers = zip( + *(mesh_bounds(mesh) for mesh in meshes), + strict=True, + ) + + return np.min(np.array(lowers), axis=0), np.max(np.array(uppers), axis=0) + + +def scene_center(meshes: Sequence[Mesh3D]) -> np.ndarray: + """Calculate the midpoint of the scene bounding box. + + Parameters + ---------- + meshes : Sequence[Mesh3D] + Collection of meshes. + + Returns + ------- + np.ndarray + Midpoint coordinates array with shape ``(3,)`` and dtype + ``float64`` representing (X, Y, Z) center of the scene. + """ + lower, upper = scene_bounds(meshes) + return 0.5 * (lower + upper) + + +def scene_translate( + meshes: Sequence[Mesh3D], + translation: np.ndarray, +) -> list[Mesh3D]: + """Translate every mesh in a sequence by the same offset vector. + + Parameters + ---------- + meshes : Sequence[Mesh3D] + Collection of meshes to translate. + translation : np.ndarray + Translation offset array with shape ``(3,)`` or ``(2,)`` and dtype + ``float64`` representing (dX, dY, dZ) offsets. + + Returns + ------- + list[Mesh3D] + New list of translated meshes. + """ + return [mesh_translate(mesh, translation) for mesh in meshes] + + +def scene_rotate( + meshes: Sequence[Mesh3D], + rotation: Rotation, + pivot: np.ndarray | None = None, +) -> list[Mesh3D]: + """Rotate all meshes around a shared pivot (default: scene center). + + Parameters + ---------- + meshes : Sequence[Mesh3D] + Collection of meshes to rotate. + rotation : scipy.spatial.transform.Rotation + Spatial rotation to apply to all meshes. + pivot : np.ndarray or None, optional + Pivot center point array with shape ``(3,)`` and dtype ``float64``. + If ``None``, defaults to the scene center. + + Returns + ------- + list[Mesh3D] + New list of rotated meshes. + """ + p_vec = scene_center(meshes) if pivot is None else pivot + return [mesh_rotate(mesh, rotation, pivot=p_vec) for mesh in meshes] + + +def scene_arrange_points( + meshes: Sequence[Mesh3D], + positions: np.ndarray, +) -> list[Mesh3D]: + """Move each mesh so its bounding box center lies at the matching target. + + Parameters + ---------- + meshes : Sequence[Mesh3D] + Collection of meshes to arrange. + positions : np.ndarray + Array of target center positions with shape ``(num_meshes, 3)`` and + dtype ``float64`` representing (X, Y, Z) coordinates for each mesh. + + Returns + ------- + list[Mesh3D] + New list of repositioned meshes. + + Raises + ------ + ValueError + If the number of meshes does not match the number of positions. + """ + if len(meshes) != len(positions): + raise ValueError( + f"Number of meshes ({len(meshes)}) must match number of " + f"positions ({len(positions)})." + ) + + return [ + mesh_center_at(mesh, position) + for mesh, position in zip(meshes, positions, strict=True) + ] + + +def scene_arrange_line( + meshes: Sequence[Mesh3D], + axis: int = 0, + spacing: float = 0.0, +) -> list[Mesh3D]: + """Arrange meshes in a line with a constant gap between bounding boxes. + + Parameters + ---------- + meshes : Sequence[Mesh3D] + Collection of meshes to arrange. + axis : int, optional + Spatial axis index along which to align meshes (0 for X, 1 for Y, + 2 for Z). Defaults to 0. + spacing : float, optional + Clearance distance between successive bounding boxes. Defaults to 0.0. + + Returns + ------- + list[Mesh3D] + New list of arranged meshes. + """ + if not meshes: + return [] + + arranged: list[Mesh3D] = [] + current_edge: float | None = None + + for mesh in meshes: + low, high = mesh_bounds(mesh) + if current_edge is None: + arranged.append(mesh) + current_edge = high[axis] + else: + shift = (current_edge + spacing) - low[axis] + delta = np.zeros_like(low) + delta[axis] = shift + moved = mesh_translate(mesh, delta) + arranged.append(moved) + _, moved_high = mesh_bounds(moved) + current_edge = moved_high[axis] + + return arranged + + +def scene_arrange_grid( + meshes: Sequence[Mesh3D], + columns: int = 3, + spacing: np.ndarray = np.array((0.0, 0.0)), + plane: str = "xy", + center: bool = True, +) -> list[Mesh3D]: + """Arrange meshes in a 2D planar grid with defined gaps between boxes. + + Parameters + ---------- + meshes : Sequence[Mesh3D] + Collection of meshes to arrange in a grid. + columns : int, optional + Number of grid columns. Defaults to 3. + spacing : np.ndarray, optional + Gaps between bounding boxes with shape ``(2,)`` and dtype ``float64`` + representing ``(gap_u, gap_v)``. Defaults to ``(0.0, 0.0)``. + plane : str, optional + Grid arrangement plane (``"xy"``, ``"xz"``, or ``"yz"``). Defaults + to ``"xy"``. + center : bool, optional + Whether to center the entire grid at the origin. Defaults to ``True``. + + Returns + ------- + list[Mesh3D] + New list of grid arranged meshes. + + Raises + ------ + ValueError + If columns is not positive or plane is unsupported. + """ + if not meshes: + return [] + + if columns <= 0: + raise ValueError("columns must be a positive integer.") + + plane_lower = plane.lower() + if plane_lower == "xy": + u_axis, v_axis = 0, 1 + elif plane_lower == "xz": + u_axis, v_axis = 0, 2 + elif plane_lower == "yz": + u_axis, v_axis = 1, 2 + else: + raise ValueError(f"Unsupported plane '{plane}'. Choose xy, xz, or yz.") + + gap_u = float(spacing[0]) + gap_v = float(spacing[1]) if len(spacing) > 1 else gap_u + + rows = (len(meshes) + columns - 1) // columns + col_widths = np.zeros(columns, dtype=np.float64) + row_heights = np.zeros(rows, dtype=np.float64) + + for ii, mesh in enumerate(meshes): + col = ii % columns + row = ii // columns + low, high = mesh_bounds(mesh) + width = high[u_axis] - low[u_axis] + height = high[v_axis] - low[v_axis] + col_widths[col] = max(col_widths[col], width) + row_heights[row] = max(row_heights[row], height) + + col_offsets = np.zeros(columns, dtype=np.float64) + for cc in range(1, columns): + col_offsets[cc] = col_offsets[cc - 1] + col_widths[cc - 1] + gap_u + + row_offsets = np.zeros(rows, dtype=np.float64) + for rr in range(1, rows): + row_offsets[rr] = row_offsets[rr - 1] + row_heights[rr - 1] + gap_v + + arranged: list[Mesh3D] = [] + for ii, mesh in enumerate(meshes): + col = ii % columns + row = ii // columns + low, high = mesh_bounds(mesh) + width = high[u_axis] - low[u_axis] + height = high[v_axis] - low[v_axis] + + target_u = col_offsets[col] + 0.5 * (col_widths[col] - width) + target_v = row_offsets[row] + 0.5 * (row_heights[row] - height) + + delta = np.zeros_like(low) + delta[u_axis] = target_u - low[u_axis] + delta[v_axis] = target_v - low[v_axis] + arranged.append(mesh_translate(mesh, delta)) + + if center and arranged: + sc = scene_center(arranged) + arranged = scene_translate(arranged, -sc) + + return arranged + + +def scene_arrange_circle( + meshes: Sequence[Mesh3D], + radius: float = 100.0, + plane: str = "xy", + center: np.ndarray = np.array((0.0, 0.0, 0.0)), +) -> list[Mesh3D]: + """Place mesh centers evenly spaced around a circle. + + Parameters + ---------- + meshes : Sequence[Mesh3D] + Collection of meshes to arrange in a circle. + radius : float, optional + Radius of the circle. Defaults to 100.0. + plane : str, optional + Circle plane (``"xy"``, ``"xz"``, or ``"yz"``). Defaults to ``"xy"``. + center : np.ndarray, optional + Center coordinates of the circle with shape ``(3,)`` and dtype + ``float64``. Defaults to ``(0.0, 0.0, 0.0)``. + + Returns + ------- + list[Mesh3D] + New list of circularly arranged meshes. + + Raises + ------ + ValueError + If plane is unsupported. + """ + if not meshes: + return [] + + plane_lower = plane.lower() + if plane_lower == "xy": + u_axis, v_axis = 0, 1 + elif plane_lower == "xz": + u_axis, v_axis = 0, 2 + elif plane_lower == "yz": + u_axis, v_axis = 1, 2 + else: + raise ValueError(f"Unsupported plane '{plane}'. Choose xy, xz, or yz.") + + c_vec = np.asarray(center, dtype=np.float64)[:3] + n = len(meshes) + angles = np.linspace(0.0, 2.0 * np.pi, n, endpoint=False) + + arranged: list[Mesh3D] = [] + for mesh, angle in zip(meshes, angles, strict=True): + pos = c_vec.copy() + pos[u_axis] += radius * np.cos(angle) + pos[v_axis] += radius * np.sin(angle) + arranged.append(mesh_center_at(mesh, pos)) + + return arranged + + +__all__ = [ + "scene_arrange_circle", + "scene_arrange_grid", + "scene_arrange_line", + "scene_arrange_points", + "scene_bounds", + "scene_center", + "scene_rotate", + "scene_translate", +] diff --git a/src/pyvale/render/uvtools.py b/src/pyvale/render/uvtools.py new file mode 100644 index 000000000..6adc61749 --- /dev/null +++ b/src/pyvale/render/uvtools.py @@ -0,0 +1,867 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================ +"""Renderer independent tools for generating and transforming nodal UVs. + +Texture shapes follow NumPy convention, ``(height, width)``. Pixel coordinates +refer to pixel centres, so the final pixel centres are at ``width - 1`` and +``height - 1``. UV arrays have shape ``(node_count, 2)``. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from enum import Enum +import warnings + +import numpy as np + + +class EUVPlane(Enum): + """Axis aligned plane used for planar UV projection.""" + + XY = "xy" + YZ = "yz" + XZ = "xz" + + +class EUVFit(Enum): + """Rule used to fit projected coordinates into texture bounds.""" + + CONTAIN = "contain" + FIT_U = "fit_u" + FIT_V = "fit_v" + STRETCH = "stretch" + + +class EUVOrigin(Enum): + """Location of the texture space V origin.""" + + UPPER_LEFT = "upper_left" + LOWER_LEFT = "lower_left" + + +class EUVBounds(Enum): + """Handling for physically scaled UVs outside the source texture.""" + + SATURATE = "saturate" + TILED = "tiled" + + +@dataclass(frozen=True, slots=True) +class UVPlane: + """Arbitrary projection plane. + + Parameters + ---------- + normal : np.ndarray + Nonzero plane normal vector array with shape ``(3,)`` and dtype + ``float64`` representing (nx, ny, nz). + origin : np.ndarray + Point on the plane with shape ``(3,)`` and dtype ``float64`` + representing (x, y, z) coordinates. + up : np.ndarray or None, optional + Preferred positive V direction array with shape ``(3,)`` and dtype + ``float64``. Its component normal to the plane is removed. When + omitted, a deterministic basis is constructed. + """ + + normal: np.ndarray + origin: np.ndarray + up: np.ndarray | None = None + + +@dataclass(frozen=True, slots=True) +class UVTransform: + """Affine UV transform applied about a pivot before translation. + + Parameters + ---------- + translation : tuple[float, float], optional + Translation offset in UV space ``(du, dv)``. Defaults to (0.0, 0.0). + rotation_degrees : float, optional + Rotation angle in degrees about the pivot. Defaults to 0.0. + scale : tuple[float, float], optional + Scale factor in UV space ``(su, sv)``. Defaults to (1.0, 1.0). + pivot : tuple[float, float], optional + Pivot center point in UV space ``(pu, pv)``. Defaults to (0.5, 0.5). + """ + + translation: tuple[float, float] = (0.0, 0.0) + rotation_degrees: float = 0.0 + scale: tuple[float, float] = (1.0, 1.0) + pivot: tuple[float, float] = (0.5, 0.5) + + +@dataclass(frozen=True, slots=True) +class UVMapping: + """UV coordinates and the texture image they address. + + ``TILED`` mappings may contain an expanded texture assembled from the + supplied source image. ``tile_counts`` is in ``(U, V)`` order. + + Parameters + ---------- + uvs : np.ndarray + Nodal UV coordinate array with shape ``(num_nodes, 2)`` and dtype + ``float64`` in the normalized range ``[0.0, 1.0]``. + texture : np.ndarray + Texture image array with shape ``(height, width)`` or + ``(height, width, num_channels)``. + tile_counts : tuple[int, int], optional + Number of tiles in U and V directions ``(tile_u, tile_v)``. + Defaults to (1, 1). + """ + + uvs: np.ndarray + texture: np.ndarray + tile_counts: tuple[int, int] = (1, 1) + + +def _finite_array( + values: object, + name: str, + shape: tuple[int, ...] | None = None, +) -> np.ndarray: + """Return finite contiguous float64 input with an optional exact shape.""" + array = np.ascontiguousarray(values, dtype=np.float64) + + if shape is not None and array.shape != shape: + raise ValueError(f"{name} must have shape {shape}; got {array.shape}.") + + if not np.isfinite(array).all(): + raise ValueError(f"{name} must contain only finite values.") + + return array + + +def _coords_array(coords: np.ndarray) -> np.ndarray: + """Validate three dimensional nodal coordinates.""" + array = _finite_array(coords, "coords") + + if array.ndim != 2 or array.shape[1] != 3 or array.shape[0] < 2: + raise ValueError("coords must have shape (node_count, 3).") + + return array + + +def _uv_array(uvs: np.ndarray) -> np.ndarray: + """Validate nodal UV coordinates.""" + array = _finite_array(uvs, "uvs") + + if array.ndim != 2 or array.shape[1] != 2: + raise ValueError("uvs must have shape (node_count, 2).") + + return array + + +def _texture_size(texture_shape: tuple[int, int]) -> tuple[float, float]: + """Return validated texture width and height from NumPy shape order.""" + shape = _finite_array(texture_shape, "texture_shape", (2,)) + + if np.any(shape < 2.0): + raise ValueError("Texture height and width must both be at least 2.") + + return float(shape[1]), float(shape[0]) + + +def _plane_basis( + plane: EUVPlane | UVPlane, +) -> tuple[np.ndarray, np.ndarray, np.ndarray]: + """Resolve a projection plane to an origin and orthonormal U/V basis.""" + zero = np.zeros(3, dtype=np.float64) + + if plane is EUVPlane.XY: + return zero, np.array((1.0, 0.0, 0.0)), np.array((0.0, 1.0, 0.0)) + + if plane is EUVPlane.YZ: + return zero, np.array((0.0, 1.0, 0.0)), np.array((0.0, 0.0, 1.0)) + + if plane is EUVPlane.XZ: + return zero, np.array((1.0, 0.0, 0.0)), np.array((0.0, 0.0, 1.0)) + + if not isinstance(plane, UVPlane): + raise ValueError(f"Unsupported UV projection plane: {plane!r}.") + + normal = _finite_array(plane.normal, "plane.normal", (3,)) + origin = _finite_array(plane.origin, "plane.origin", (3,)) + normal_norm = float(np.linalg.norm(normal)) + + if normal_norm == 0.0: + raise ValueError("plane.normal must be nonzero.") + + normal = normal / normal_norm + + if plane.up is not None: + up = _finite_array(plane.up, "plane.up", (3,)) + v_axis = up - np.dot(up, normal) * normal + v_norm = float(np.linalg.norm(v_axis)) + + if v_norm <= np.finfo(np.float64).eps: + raise ValueError("plane.up must not be parallel to plane.normal.") + + v_axis /= v_norm + u_axis = np.cross(v_axis, normal) + u_axis /= np.linalg.norm(u_axis) + + return origin, u_axis, v_axis + + if abs(normal[2]) < 0.999: + u_axis = np.cross(np.array((0.0, 0.0, 1.0)), normal) + else: + u_axis = np.cross(normal, np.array((0.0, 1.0, 0.0))) + + u_axis /= np.linalg.norm(u_axis) + v_axis = np.cross(normal, u_axis) + v_axis /= np.linalg.norm(v_axis) + + return origin, u_axis, v_axis + + +def _project(coords: np.ndarray, plane: EUVPlane | UVPlane) -> np.ndarray: + """Project coordinates onto the selected two dimensional plane.""" + + if plane is EUVPlane.XY: + return coords[:, :2] + + if plane is EUVPlane.YZ: + return coords[:, 1:3] + + if plane is EUVPlane.XZ: + return coords[:, (0, 2)] + + origin, u_axis, v_axis = _plane_basis(plane) + difference = coords - origin + + return np.column_stack((difference @ u_axis, difference @ v_axis)) + + +def _bounds(values: np.ndarray) -> tuple[np.ndarray, np.ndarray, np.ndarray]: + """Return projected bounds and reject a zero area projection.""" + lower = np.min(values, axis=0) + upper = np.max(values, axis=0) + extent = upper - lower + + if np.any(extent <= 0.0): + raise ValueError("Projected mesh has zero area in the chosen plane.") + + return lower, upper, extent + + + +def _fit_projected( + projected: np.ndarray, + pixel_bounds: tuple[float, float, float, float], + fit: EUVFit, +) -> np.ndarray: + """Fit projected coordinates into pixel bounds.""" + + lower, upper, extent = _bounds(projected) + bounds = _finite_array(pixel_bounds, "pixel_bounds", (4,)) + target_lower = bounds[:2] + target_upper = bounds[2:] + target_extent = target_upper - target_lower + + if np.any(target_extent <= 0.0): + raise ValueError("pixel_bounds upper bounds must exceed lower bounds.") + + scale_axes = target_extent / extent + + if fit is EUVFit.CONTAIN: + scale = np.repeat(np.min(scale_axes), 2) + elif fit is EUVFit.FIT_U: + scale = np.repeat(scale_axes[0], 2) + elif fit is EUVFit.FIT_V: + scale = np.repeat(scale_axes[1], 2) + elif fit is EUVFit.STRETCH: + scale = scale_axes + else: + raise ValueError(f"Unsupported UV fit mode: {fit!r}.") + + source_center = 0.5 * (lower + upper) + target_center = 0.5 * (target_lower + target_upper) + + return target_center + (projected - source_center) * scale + + +def uv_from_pixels( + pixel_coords: np.ndarray, + texture_shape: tuple[int, int], + origin: EUVOrigin = EUVOrigin.UPPER_LEFT, +) -> np.ndarray: + """Convert pixel centre coordinates to normalized UV coordinates. + + Parameters + ---------- + pixel_coords : np.ndarray + Pixel coordinate array with shape ``(num_nodes, 2)`` and dtype + ``float64`` representing (px_x, px_y). + texture_shape : tuple[int, int] + Texture image shape ``(height, width)``. + origin : EUVOrigin, optional + Texture space vertical origin (``EUVOrigin.UPPER_LEFT`` or + ``EUVOrigin.LOWER_LEFT``). Defaults to ``EUVOrigin.UPPER_LEFT``. + + Returns + ------- + np.ndarray + Normalized UV coordinates array with shape ``(num_nodes, 2)`` and + dtype ``float64`` in the range ``[0.0, 1.0]``. + + Raises + ------ + ValueError + If origin is unsupported or input shapes are invalid. + """ + pixels = _uv_array(pixel_coords) + width, height = _texture_size(texture_shape) + uvs = np.empty_like(pixels) + uvs[:, 0] = pixels[:, 0] / (width - 1.0) + + if origin is EUVOrigin.UPPER_LEFT: + uvs[:, 1] = 1.0 - pixels[:, 1] / (height - 1.0) + elif origin is EUVOrigin.LOWER_LEFT: + uvs[:, 1] = pixels[:, 1] / (height - 1.0) + else: + raise ValueError(f"Unsupported UV origin: {origin!r}.") + + return np.ascontiguousarray(uvs) + + +def uv_to_pixels( + uvs: np.ndarray, + texture_shape: tuple[int, int], + origin: EUVOrigin = EUVOrigin.UPPER_LEFT, +) -> np.ndarray: + """Convert normalized UV coordinates to pixel centre coordinates. + + Parameters + ---------- + uvs : np.ndarray + Normalized UV coordinate array with shape ``(num_nodes, 2)`` and dtype + ``float64``. + texture_shape : tuple[int, int] + Texture image shape ``(height, width)``. + origin : EUVOrigin, optional + Texture space vertical origin. Defaults to ``EUVOrigin.UPPER_LEFT``. + + Returns + ------- + np.ndarray + Pixel coordinate array with shape ``(num_nodes, 2)`` and dtype + ``float64``. + + Raises + ------ + ValueError + If origin is unsupported or input shapes are invalid. + """ + uv_coords = _uv_array(uvs) + width, height = _texture_size(texture_shape) + pixels = np.empty_like(uv_coords) + pixels[:, 0] = uv_coords[:, 0] * (width - 1.0) + + if origin is EUVOrigin.UPPER_LEFT: + pixels[:, 1] = (1.0 - uv_coords[:, 1]) * (height - 1.0) + elif origin is EUVOrigin.LOWER_LEFT: + pixels[:, 1] = uv_coords[:, 1] * (height - 1.0) + else: + raise ValueError(f"Unsupported UV origin: {origin!r}.") + + return np.ascontiguousarray(pixels) + + +def uv_project_planar_pixels( + coords: np.ndarray, + texture_shape: tuple[int, int], + pixel_bounds: tuple[float, float, float, float], + plane: EUVPlane | UVPlane = EUVPlane.XY, + fit: EUVFit = EUVFit.CONTAIN, + origin: EUVOrigin = EUVOrigin.UPPER_LEFT, +) -> np.ndarray: + """Project mesh coordinates into a texture space pixel rectangle. + + Parameters + ---------- + coords : np.ndarray + Nodal coordinates array with shape ``(num_nodes, 3)`` and dtype + ``float64``. + texture_shape : tuple[int, int] + Texture image dimensions ``(height, width)``. + pixel_bounds : tuple[float, float, float, float] + Target pixel bounds ``(min_x, min_y, max_x, max_y)``. + plane : EUVPlane or UVPlane, optional + Projection plane (default is ``EUVPlane.XY``). + fit : EUVFit, optional + Fitting rule within the pixel bounds (default is ``EUVFit.CONTAIN``). + origin : EUVOrigin, optional + Vertical origin convention. Defaults to ``EUVOrigin.UPPER_LEFT``. + + Returns + ------- + np.ndarray + Nodal UV coordinate array with shape ``(num_nodes, 2)`` and dtype + ``float64``. + """ + coords_in = _coords_array(coords) + _texture_size(texture_shape) + projected = _project(coords_in, plane) + pixels = _fit_projected(projected, pixel_bounds, fit) + + return uv_from_pixels(pixels, texture_shape, origin) + + +def uv_project_planar( + coords: np.ndarray, + plane: EUVPlane | UVPlane = EUVPlane.XY, + uv_bounds: tuple[float, float, float, float] = (0.0, 0.0, 1.0, 1.0), + fit: EUVFit = EUVFit.CONTAIN, + texture_shape: tuple[int, int] | None = None, + origin: EUVOrigin = EUVOrigin.UPPER_LEFT, +) -> np.ndarray: + """Project mesh coordinates into normalized UV bounds. + + When ``texture_shape`` is omitted, a square two pixel texture is assumed + for aspect fitting. Supply the actual image shape when its aspect ratio + should influence ``CONTAIN``, ``FIT_U``, or ``FIT_V``. + + Parameters + ---------- + coords : np.ndarray + Nodal coordinates array with shape ``(num_nodes, 3)`` and dtype + ``float64``. + plane : EUVPlane or UVPlane, optional + Projection plane (default is ``EUVPlane.XY``). + uv_bounds : tuple[float, float, float, float], optional + Normalized UV bounds ``(min_u, min_v, max_u, max_v)``. Defaults to + (0.0, 0.0, 1.0, 1.0). + fit : EUVFit, optional + Fitting mode (default is ``EUVFit.CONTAIN``). + texture_shape : tuple[int, int] or None, optional + Image shape ``(height, width)`` for aspect preservation. + origin : EUVOrigin, optional + Vertical origin convention. Defaults to ``EUVOrigin.UPPER_LEFT``. + + Returns + ------- + np.ndarray + Nodal UV coordinates array with shape ``(num_nodes, 2)`` and dtype + ``float64``. + + Raises + ------ + ValueError + If UV bounds are inverted or origin is invalid. + """ + if texture_shape is None: + texture_shape = (2, 2) + + width, height = _texture_size(texture_shape) + bounds = _finite_array(uv_bounds, "uv_bounds", (4,)) + + if bounds[2] <= bounds[0] or bounds[3] <= bounds[1]: + raise ValueError("uv_bounds upper bounds must exceed lower bounds.") + + x_bounds = bounds[[0, 2]] * (width - 1.0) + if origin is EUVOrigin.UPPER_LEFT: + y_bounds = (1.0 - bounds[[3, 1]]) * (height - 1.0) + elif origin is EUVOrigin.LOWER_LEFT: + y_bounds = bounds[[1, 3]] * (height - 1.0) + else: + raise ValueError(f"Unsupported UV origin: {origin!r}.") + + pixel_bounds = (x_bounds[0], y_bounds[0], x_bounds[1], y_bounds[1]) + + return uv_project_planar_pixels( + coords, + texture_shape, + pixel_bounds, + plane=plane, + fit=fit, + origin=origin, + ) + + +def uv_project_planar_centered( + coords: np.ndarray, + texture_shape: tuple[int, int], + *, + span: float = 1.0, + plane: EUVPlane | UVPlane = EUVPlane.XY, + origin: EUVOrigin = EUVOrigin.UPPER_LEFT, +) -> np.ndarray: + """Project coordinates into a centred aspect preserving UV region. + + Parameters + ---------- + coords : np.ndarray + Nodal coordinates array with shape ``(num_nodes, 3)`` and dtype + ``float64``. + texture_shape : tuple[int, int] + Texture image shape ``(height, width)``. + span : float, optional + Fraction of texture bounds to occupy (0 < span <= 1.0). Defaults + to 1.0. + plane : EUVPlane or UVPlane, optional + Projection plane. Defaults to ``EUVPlane.XY``. + origin : EUVOrigin, optional + Vertical origin convention. Defaults to ``EUVOrigin.UPPER_LEFT``. + + Returns + ------- + np.ndarray + Nodal UV coordinates array with shape ``(num_nodes, 2)`` and dtype + ``float64``. + + Raises + ------ + ValueError + If span is not in the interval (0, 1]. + """ + if not np.isfinite(span) or not 0.0 < span <= 1.0: + raise ValueError("span must be finite and in the interval (0, 1].") + + margin = 0.5 * (1.0 - span) + + return uv_project_planar( + coords, + plane, + uv_bounds=(margin, margin, 1.0 - margin, 1.0 - margin), + fit=EUVFit.CONTAIN, + texture_shape=texture_shape, + origin=origin, + ) + + +def uv_calc_feature_leng( + image_px_per_feature: float, + image_leng_per_px: float, +) -> float: + """Calculate physical feature size or pitch from its rendered size. + + Parameters + ---------- + image_px_per_feature : float + Target feature size in rendered pixels. + image_leng_per_px : float + Physical length per image pixel at the specimen plane. + + Returns + ------- + float + Physical feature length in simulation length units. + + Raises + ------ + ValueError + If any input is not positive. + """ + values = _finite_array( + (image_px_per_feature, image_leng_per_px), + "feature scale inputs", + (2,), + ) + if np.any(values <= 0.0): + raise ValueError("Feature scale inputs must be positive.") + return float(values[0] * values[1]) + + +def uv_calc_image_px_per_feature( + feature_leng: float, + image_leng_per_px: float, +) -> float: + """Calculate rendered pixels per feature size or pitch. + + Parameters + ---------- + feature_leng : float + Physical feature dimension in simulation length units. + image_leng_per_px : float + Physical length per image pixel at the specimen plane. + + Returns + ------- + float + Rendered feature dimension in pixel units. + + Raises + ------ + ValueError + If any input is not positive. + """ + values = _finite_array( + (feature_leng, image_leng_per_px), + "feature scale inputs", + (2,), + ) + if np.any(values <= 0.0): + raise ValueError("Feature scale inputs must be positive.") + return float(values[0] / values[1]) + + +def uv_calc_texture_px_per_leng( + texture_px_per_feature: float, + feature_leng: float, +) -> float: + """Calculate texture pixels per simulation length unit. + + Parameters + ---------- + texture_px_per_feature : float + Feature dimension in texture pixels. + feature_leng : float + Feature physical dimension in simulation length units. + + Returns + ------- + float + Texture pixels per simulation length unit. + + Raises + ------ + ValueError + If any input is not positive. + """ + values = _finite_array( + (texture_px_per_feature, feature_leng), + "feature scale inputs", + (2,), + ) + if np.any(values <= 0.0): + raise ValueError("Feature scale inputs must be positive.") + return float(values[0] / values[1]) + + +def uv_calc_texture_px_per_leng_from_image( + texture_px_per_feature: float, + image_px_per_feature: float, + image_leng_per_px: float, +) -> float: + """Calculate texture scale for a desired rendered feature size. + + Parameters + ---------- + texture_px_per_feature : float + Feature dimension in source texture pixels. + image_px_per_feature : float + Desired feature dimension in rendered image pixels. + image_leng_per_px : float + Physical length per image pixel at the specimen plane. + + Returns + ------- + float + Required texture pixels per simulation length unit. + """ + feature_leng = uv_calc_feature_leng( + image_px_per_feature, + image_leng_per_px, + ) + return uv_calc_texture_px_per_leng( + texture_px_per_feature, + feature_leng, + ) + + +def uv_map_planar_scaled( + coords: np.ndarray, + texture: np.ndarray, + texture_px_per_leng: float | np.ndarray, + plane: EUVPlane | UVPlane = EUVPlane.XY, + texture_center_px: np.ndarray | None = None, + origin: EUVOrigin = EUVOrigin.UPPER_LEFT, + bounds: EUVBounds = EUVBounds.SATURATE, +) -> UVMapping: + """Map a planar surface using a fixed physical texture scale. + + The projected specimen centre is placed at ``texture_center_px``. When no + centre is supplied, the centre of the source texture is used. Texture + scale may be one isotropic value or independent ``(U, V)`` values. + + Parameters + ---------- + coords : np.ndarray + Nodal coordinates array with shape ``(num_nodes, 3)`` and dtype + ``float64``. + texture : np.ndarray + Source texture image array with shape ``(height, width)`` or + ``(height, width, num_channels)``. + texture_px_per_leng : float or np.ndarray + Physical texture resolution as a scalar or two element array with + shape ``(2,)`` and dtype ``float64`` for (scale_u, scale_v). + plane : EUVPlane or UVPlane, optional + Projection plane. Defaults to ``EUVPlane.XY``. + texture_center_px : np.ndarray or None, optional + Pixel coordinate array with shape ``(2,)`` and dtype ``float64`` + denoting the texture centre. + origin : EUVOrigin, optional + Vertical origin convention. Defaults to ``EUVOrigin.UPPER_LEFT``. + bounds : EUVBounds, optional + Out of bounds handling mode (``EUVBounds.SATURATE`` or + ``EUVBounds.TILED``). Defaults to ``EUVBounds.SATURATE``. + + Returns + ------- + UVMapping + Constructed mapping containing nodal UVs, texture image, and tile + counts. + + Raises + ------ + ValueError + If inputs are invalid or out of bounds. + """ + coords_in = _coords_array(coords) + texture_in = np.asarray(texture) + + if texture_in.ndim not in (2, 3): + raise ValueError("texture must have shape (height, width[, channels]).") + + texture_shape = (int(texture_in.shape[0]), int(texture_in.shape[1])) + width, height = _texture_size(texture_shape) + scale = np.asarray(texture_px_per_leng, dtype=np.float64) + + if scale.ndim == 0: + scale = np.repeat(scale, 2) + + if scale.shape != (2,) or not np.isfinite(scale).all(): + raise ValueError( + "texture_px_per_leng must be finite and scalar or shape (2,)." + ) + + if np.any(scale <= 0.0): + raise ValueError("texture_px_per_leng must be positive.") + + projected = _project(coords_in, plane) + projected_center = 0.5 * ( + np.min(projected, axis=0) + np.max(projected, axis=0) + ) + + if texture_center_px is None: + texture_center = np.array((0.5 * (width - 1.0), 0.5 * (height - 1.0))) + else: + texture_center = _finite_array( + texture_center_px, + "texture_center_px", + (2,), + ) + + pixels = texture_center + (projected - projected_center) * scale + raw_uvs = uv_from_pixels(pixels, texture_shape, origin) + outside = np.any((raw_uvs < 0.0) | (raw_uvs > 1.0)) + + if bounds is EUVBounds.SATURATE: + if outside: + warnings.warn( + "Physically scaled UVs exceed the texture bounds and were " + "saturated to [0, 1]. Use EUVBounds.TILED to preserve scale.", + UserWarning, + stacklevel=2, + ) + return UVMapping( + np.ascontiguousarray(np.clip(raw_uvs, 0.0, 1.0)), + texture_in, + ) + + if bounds is not EUVBounds.TILED: + raise ValueError(f"Unsupported UV bounds mode: {bounds!r}.") + + if not outside: + return UVMapping(np.ascontiguousarray(raw_uvs), texture_in) + + source_size = np.array((texture_in.shape[1], texture_in.shape[0])) + tile_lower = np.floor(np.min(pixels, axis=0) / source_size).astype(np.int64) + tile_upper = np.floor(np.max(pixels, axis=0) / source_size).astype(np.int64) + tile_counts_array = tile_upper - tile_lower + 1 + + tile_u, tile_v = (int(value) for value in tile_counts_array) + repetitions = (tile_v, tile_u) + (1,) * (texture_in.ndim - 2) + + tiled_texture = np.tile(texture_in, repetitions) + tiled_pixels = pixels - tile_lower * source_size + + tiled_uvs = uv_from_pixels( + tiled_pixels, + (int(tiled_texture.shape[0]), int(tiled_texture.shape[1])), + origin, + ) + + return UVMapping( + np.ascontiguousarray(np.clip(tiled_uvs, 0.0, 1.0)), + np.ascontiguousarray(tiled_texture), + (tile_u, tile_v), + ) + + +def uv_transform( + uvs: np.ndarray, + transform: UVTransform, +) -> np.ndarray: + """Scale and rotate UVs about a pivot, then apply translation. + + Parameters + ---------- + uvs : np.ndarray + Nodal UV coordinate array with shape ``(num_nodes, 2)`` and dtype + ``float64``. + transform : UVTransform + Affine transform specifying scale, rotation, translation, and pivot. + + Returns + ------- + np.ndarray + Transformed UV coordinate array with shape ``(num_nodes, 2)`` and + dtype ``float64``. + + Raises + ------ + ValueError + If rotation is not finite or UV coordinates have invalid shape. + """ + uv_coords = _uv_array(uvs) + translation = _finite_array( + transform.translation, "transform.translation", (2,), + ) + + scale = _finite_array(transform.scale, "transform.scale", (2,)) + pivot = _finite_array(transform.pivot, "transform.pivot", (2,)) + angle = float(transform.rotation_degrees) + + if not np.isfinite(angle): + raise ValueError("transform.rotation_degrees must be finite.") + + radians = np.deg2rad(angle) + rotation = np.array( + ((np.cos(radians), -np.sin(radians)), + (np.sin(radians), np.cos(radians))), + ) + + transformed = (uv_coords - pivot) * scale + transformed = transformed @ rotation.T + transformed += pivot + translation + + return np.ascontiguousarray(transformed, dtype=np.float64) + + +__all__ = [ + "EUVBounds", + "EUVFit", + "EUVOrigin", + "EUVPlane", + "UVPlane", + "UVMapping", + "UVTransform", + "uv_calc_feature_leng", + "uv_calc_image_px_per_feature", + "uv_calc_texture_px_per_leng", + "uv_calc_texture_px_per_leng_from_image", + "uv_from_pixels", + "uv_map_planar_scaled", + "uv_project_planar", + "uv_project_planar_centered", + "uv_project_planar_pixels", + "uv_to_pixels", + "uv_transform", +] diff --git a/src/pyvale/render/verifyinput.py b/src/pyvale/render/verifyinput.py new file mode 100644 index 000000000..1de4f0389 --- /dev/null +++ b/src/pyvale/render/verifyinput.py @@ -0,0 +1,308 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Cheap, non rendering validation helpers.""" + +from collections.abc import Sequence + +import numpy as np + +from pyvale.dataio import SimData, check_mesh_convention + +from .camera import Camera +from .errors import RenderInputError, ValidationIssue +from .light import Light +from .mesh import EElementType, Mesh3D + +_NODES_PER_ELEMENT = { + EElementType.TRI3: 3, + EElementType.TRI6: 6, + EElementType.QUAD4: 4, + EElementType.QUAD8: 8, + EElementType.QUAD9: 9, +} + + +def mesh_convention_issues( + coords: np.ndarray, + connectivity: np.ndarray, + path: str, +) -> tuple[ValidationIssue, ...]: + """Return shared convention issues for a render surface mesh. + + Two dimensional coordinates are padded onto the XY plane before invoking + the common DataIO checker. This keeps planar renderers aligned with the + same counter clockwise, right handed convention as 3D renderers. + + Parameters + ---------- + coords : np.ndarray + Nodal coordinates array with shape ``(num_nodes, 2)`` or + ``(num_nodes, 3)`` and dtype ``float64``. + connectivity : np.ndarray + Element connectivity table with shape + ``(num_elements, nodes_per_element)`` and integer dtype. + path : str + Dotted path identifier for error reporting. + + Returns + ------- + tuple[ValidationIssue, ...] + Tuple of validation issues detected, or an empty tuple if valid. + """ + coords_array = np.asarray(coords) + connectivity_array = np.asarray(connectivity) + if coords_array.ndim != 2 or coords_array.shape[1] not in (2, 3): + return () + if connectivity_array.ndim != 2 or connectivity_array.size == 0: + return () + + if coords_array.shape[1] == 2: + coords_array = np.pad(coords_array, ((0, 0), (0, 1))) + + try: + report = check_mesh_convention( + SimData( + coords=coords_array, + connect={"connect1": connectivity_array}, + ) + ) + except (IndexError, NotImplementedError, TypeError, ValueError) as error: + return ( + ValidationIssue( + path + ".connectivity", + "CONVENTION", + f"Could not check the shared mesh convention: {error}", + ), + ) + + if not report: + return () + + failed = "; ".join( + f"{table}: {', '.join(code.value for code in codes)}" + for table, codes in report.items() + ) + return ( + ValidationIssue( + path + ".connectivity", + "CONVENTION", + "Mesh must follow the shared Riley/VTK convention: " + failed, + ), + ) + + +def verify_scene_3d( + meshes: Sequence[Mesh3D], + cameras: Sequence[Camera], + lights: Sequence[Light] | None, +) -> tuple[ValidationIssue, ...]: + """Check common three dimensional scene constraints cheaply. + + Parameters + ---------- + meshes : Sequence[Mesh3D] + Surface meshes in the requested scene. + cameras : Sequence[Camera] + Cameras in the requested scene. + lights : Sequence[Light] or None + Explicit scene lights, if any. + + Returns + ------- + tuple[ValidationIssue, ...] + Every detected issue. An empty tuple denotes a valid common scene. + + Notes + ----- + This routine performs no scene construction, image allocation, or backend + calculation. Backends must add their own capability checks. + """ + issues: list[ValidationIssue] = [] + + if not meshes: + issues.append( + ValidationIssue( + "meshes", + "EMPTY", + "At least one mesh is required.", + ) + ) + + if not cameras: + issues.append( + ValidationIssue( + "cameras", + "EMPTY", + "At least one camera is required.", + ) + ) + + for mesh_index, mesh in enumerate(meshes): + path = f"meshes[{mesh_index}]" + + if mesh.coords.ndim != 2 or mesh.coords.shape[1] != 3: + issues.append( + ValidationIssue( + path + ".coords", + "SHAPE", + "Expected shape (nodes, 3).", + ) + ) + elif not np.isfinite(mesh.coords).all(): + issues.append( + ValidationIssue( + path + ".coords", + "FINITE", + "Values must be finite.", + ) + ) + + if mesh.connectivity.ndim != 2 or mesh.connectivity.shape[0] == 0: + issues.append( + ValidationIssue( + path + ".connectivity", + "SHAPE", + "Expected a non-empty rank-2 array.", + ) + ) + elif ( + mesh.connectivity.shape[1] != _NODES_PER_ELEMENT[mesh.element_type] + ): + issues.append( + ValidationIssue( + path + ".connectivity", + "TOPOLOGY", + "Node count does not match the element type.", + ) + ) + elif mesh.coords.ndim == 2 and np.any( + mesh.connectivity >= len(mesh.coords) + ): + issues.append( + ValidationIssue( + path + ".connectivity", + "INDEX", + "Indices exceed node count.", + ) + ) + else: + issues.extend( + mesh_convention_issues( + mesh.coords, + mesh.connectivity, + path, + ) + ) + + if mesh.displacements is not None: + expected = (mesh.displacements.shape[0], mesh.coords.shape[0], 3) + + if mesh.displacements.shape != expected: + issues.append( + ValidationIssue( + path + ".displacements", + "SHAPE", + "Expected shape (frames, nodes, 3).", + ) + ) + elif not np.isfinite(mesh.displacements).all(): + issues.append( + ValidationIssue( + path + ".displacements", + "FINITE", + "Values must be finite.", + ) + ) + + for camera_index, camera in enumerate(cameras): + path = f"cameras[{camera_index}]" + + if camera.pixels_num.shape != (2,) or np.any(camera.pixels_num <= 0): + issues.append( + ValidationIssue( + path + ".pixels_num", + "VALUE", + "Expected two positive counts.", + ) + ) + + if camera.pixels_size.shape != (2,) or np.any( + camera.pixels_size <= 0.0 + ): + issues.append( + ValidationIssue( + path + ".pixels_size", + "VALUE", + "Expected two positive sizes.", + ) + ) + + if camera.focal_length <= 0.0 or camera.subsample <= 0: + issues.append( + ValidationIssue( + path, + "VALUE", + "Focal length and sub-sampling must be positive.", + ) + ) + + vectors = ( + ("pos_world", camera.pos_world), + ("roi_cent_world", camera.roi_cent_world), + ) + for value_name, value in vectors: + if value.shape != (3,) or not np.isfinite(value).all(): + issues.append( + ValidationIssue( + path + "." + value_name, + "VALUE", + "Expected three finite values.", + ) + ) + + if lights is not None: + for light_index, light in enumerate(lights): + if not np.isfinite(light.intensity) or light.intensity < 0.0: + issues.append( + ValidationIssue( + f"lights[{light_index}].intensity", + "VALUE", + "Expected a non-negative finite value.", + ) + ) + if ( + not np.isfinite(light.shadow_soft_size) + or light.shadow_soft_size < 0.0 + ): + issues.append( + ValidationIssue( + f"lights[{light_index}].shadow_soft_size", + "VALUE", + "Expected a non-negative finite value.", + ) + ) + + return tuple(issues) + + +def raise_if_issues(issues: tuple[ValidationIssue, ...]) -> None: + """Raise an aggregated error when validation detected issues. + + Parameters + ---------- + issues : tuple[ValidationIssue, ...] + Issues returned by a verification routine. + + Raises + ------ + RenderInputError + If ``issues`` is not empty. + """ + if issues: + raise RenderInputError(issues) + + +__all__ = ["mesh_convention_issues", "raise_if_issues", "verify_scene_3d"] diff --git a/src/pyvale/sensorsim/__init__.py b/src/pyvale/sensorsim/__init__.py index e868f3ff9..c52079994 100644 --- a/src/pyvale/sensorsim/__init__.py +++ b/src/pyvale/sensorsim/__init__.py @@ -41,18 +41,7 @@ from .sensordata import * from .camera import * -from .cameradata import * -from .cameradata2d import * from .cameratools import * -from .camerastereo import * - -from .rastercy import * - -from .renderscene import * -from .rendermesh import * -from .rasternp import * - -from .imagedef2d import * from .errorintegrator import * from .errorrand import * @@ -82,5 +71,3 @@ from .enums import * from .exceptions import * - - diff --git a/src/pyvale/sensorsim/camera.py b/src/pyvale/sensorsim/camera.py index 8063dcb53..0385d1fee 100644 --- a/src/pyvale/sensorsim/camera.py +++ b/src/pyvale/sensorsim/camera.py @@ -14,7 +14,7 @@ from pyvale.sensorsim.errorintegrator import ErrIntegrator from pyvale.sensorsim.sensordescriptor import SensorDescriptor from pyvale.sensorsim.fieldsampler import sample_field_with_sensor_data -from pyvale.sensorsim.cameradata2d import CameraData2D +from pyvale.render.camera import Camera from pyvale.sensorsim.cameratools import CameraTools @@ -24,7 +24,7 @@ class CameraBasic2D(ISensorArray): "_sensor_data","_truth","_measurements") def __init__(self, - cam_data: CameraData2D, + cam_data: Camera, field: IField, descriptor: SensorDescriptor | None = None, ) -> None: @@ -37,7 +37,9 @@ def __init__(self, if descriptor is not None: self._descriptor = descriptor - self._sensor_data = CameraTools.build_sensor_data_from_camera_2d(self._cam_data) + self._sensor_data = ( + CameraTools.build_sensor_data_from_camera_2d(self._cam_data) + ) self._truth = None self._measurements = None @@ -144,4 +146,3 @@ def get_measurement_images(self) -> np.ndarray: return np.reshape(self._measurements,image_shape) - diff --git a/src/pyvale/sensorsim/cameradata.py b/src/pyvale/sensorsim/cameradata.py deleted file mode 100644 index c110ec9d7..000000000 --- a/src/pyvale/sensorsim/cameradata.py +++ /dev/null @@ -1,72 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -NOTE: This module is a feature under developement. -""" - -from dataclasses import dataclass, field -import numpy as np -from scipy.spatial.transform import Rotation - - -@dataclass(slots=True) -class CameraData: - pixels_num: np.ndarray - pixels_size: np.ndarray - - pos_world: np.ndarray - rot_world: Rotation - roi_cent_world: np.ndarray - - focal_length: float | None = 50.0 - sub_samp: int = 2 - - bits: int = 16 - - back_face_removal: bool = True - - k1: float = 0.0 - k2: float = 0.0 - k3: float = 0.0 - p1: float = 0.0 - p2: float = 0.0 - c0: float | None = None - c1: float | None = None - - fstop: float | None = None - - sensor_size: np.ndarray = field(init=False) - image_dims: np.ndarray = field(init=False) - image_dist: float = field(init=False) - - cam_to_world_mat: np.ndarray = field(init=False) - world_to_cam_mat: np.ndarray = field(init=False) - - - def __post_init__(self) -> None: - relative_pos = np.subtract(self.pos_world, self.roi_cent_world) - self.image_dist = np.linalg.norm(relative_pos) - self.sensor_size = self.pixels_num*self.pixels_size - self.image_dims = (self.image_dist - *self.sensor_size/self.focal_length) - - self.cam_to_world_mat = np.zeros((4,4)) - self.cam_to_world_mat[0:3,0:3] = self.rot_world.as_matrix() - self.cam_to_world_mat[-1,-1] = 1.0 - self.cam_to_world_mat[0:3,-1] = self.pos_world - self.world_to_cam_mat = np.linalg.inv(self.cam_to_world_mat) - - if self.c0 is None: - self.c0 = self.pixels_num[0] / 2 - if self.c1 is None: - self.c1 = self.pixels_num[1] / 2 - - - - - - diff --git a/src/pyvale/sensorsim/cameradata2d.py b/src/pyvale/sensorsim/cameradata2d.py deleted file mode 100644 index 5cdc0648a..000000000 --- a/src/pyvale/sensorsim/cameradata2d.py +++ /dev/null @@ -1,84 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -NOTE: This module is a feature under developement. -""" - -from dataclasses import dataclass, field -import numpy as np -from scipy.spatial.transform import Rotation - -@dataclass(slots=True) -class CameraData2D: - pixels_count: np.ndarray | None = None - leng_per_px: float = 1.0e-3 - bits: int = 8 - roi_cent_world: np.ndarray | None = None - - background: float = 0.5 - sample_times: np.ndarray | None = None - angle: Rotation | None = None - - subsample: int = 2 - - field_of_view: np.ndarray = field(init=False) - dynamic_range: int = field(init=False) - - world_to_cam: np.ndarray = field(init=False) - cam_to_world: np.ndarray = field(init=False) - - def __post_init__(self) -> None: - - if self.pixels_count is None: - self.pixels_count = np.array((1000,1000),dtype=np.int32) - - if self.roi_cent_world is None: - self.roi_cent_world = np.array((0.0,0.0,0.0),dtype=np.float64) - - self.field_of_view = self.leng_per_px*(self.pixels_count.astype(np.float64)) - self.dynamic_range = 2**self.bits - self.background = self.background*float(self.dynamic_range) - - self.world_to_cam = self.field_of_view/2 - self.roi_cent_world[:-1] - self.cam_to_world = -self.world_to_cam - - -#@dataclass(slots=True) -#class CameraData2D: -# #shape=(n_px_X,n_px_Y) -# num_pixels: np.ndarray - -# # Center location of the region of interest in world coords -# #shape=(3,) as (x,y,z) -# roi_center_world: np.ndarray - -# # Converts pixels to length units to align with global coords -# leng_per_px: float - -# #shape=(n_time_steps,) -# sample_times: np.ndarray | None = None - -# #TODO: this only works for flat surfaces aligned with the axis -# view_axes: tuple[int,int] = (0,1) - -# bits_sensor: int = 16 -# bits_file: int = 16 - -# angle: Rotation | None = None - -# field_of_view_center_local: np.ndarray = field(init=False) -# field_of_view_local: np.ndarray = field(init=False) -# roi_shift_world: np.ndarray = field(init=False) - -# def __post_init__(self) -> None: -# self.field_of_view_local = self.num_pixels*self.leng_per_px -# self.field_of_view_center_local = self.field_of_view_local/2 - -# self.roi_shift_world = np.zeros_like(self.roi_center_world) -# for ii,vv in enumerate(self.view_axes): -# self.roi_shift_world[vv] = self.roi_center_world[vv] - \ -# self.field_of_view_center_local[ii] \ No newline at end of file diff --git a/src/pyvale/sensorsim/camerasensor.py b/src/pyvale/sensorsim/camerasensor.py index 8063dcb53..0385d1fee 100644 --- a/src/pyvale/sensorsim/camerasensor.py +++ b/src/pyvale/sensorsim/camerasensor.py @@ -14,7 +14,7 @@ from pyvale.sensorsim.errorintegrator import ErrIntegrator from pyvale.sensorsim.sensordescriptor import SensorDescriptor from pyvale.sensorsim.fieldsampler import sample_field_with_sensor_data -from pyvale.sensorsim.cameradata2d import CameraData2D +from pyvale.render.camera import Camera from pyvale.sensorsim.cameratools import CameraTools @@ -24,7 +24,7 @@ class CameraBasic2D(ISensorArray): "_sensor_data","_truth","_measurements") def __init__(self, - cam_data: CameraData2D, + cam_data: Camera, field: IField, descriptor: SensorDescriptor | None = None, ) -> None: @@ -37,7 +37,9 @@ def __init__(self, if descriptor is not None: self._descriptor = descriptor - self._sensor_data = CameraTools.build_sensor_data_from_camera_2d(self._cam_data) + self._sensor_data = ( + CameraTools.build_sensor_data_from_camera_2d(self._cam_data) + ) self._truth = None self._measurements = None @@ -144,4 +146,3 @@ def get_measurement_images(self) -> np.ndarray: return np.reshape(self._measurements,image_shape) - diff --git a/src/pyvale/sensorsim/camerastereo.py b/src/pyvale/sensorsim/camerastereo.py deleted file mode 100644 index cbff3e755..000000000 --- a/src/pyvale/sensorsim/camerastereo.py +++ /dev/null @@ -1,217 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -NOTE: This module is a feature under developement. -""" - -from typing import Self -from pathlib import Path -import numpy as np -import yaml -from scipy.spatial.transform import Rotation -from pyvale.sensorsim.cameradata import CameraData -from pyvale.blender.blenderexceptions import BlenderError - - -class CameraStereo: - __slots__ = ("cam_data_0","cam_data_1","stereo_dist","stereo_rotation") - - def __init__(self, cam_data_0: CameraData, cam_data_1: CameraData) -> None: - self.cam_data_0 = cam_data_0 - self.cam_data_1 = cam_data_1 - - cam0_rot_matrix = Rotation.as_matrix(self.cam_data_0.rot_world) - cam1_rot_matrix = Rotation.as_matrix(self.cam_data_1.rot_world) - (self.stereo_rotation, _) = Rotation.align_vectors(cam0_rot_matrix, - cam1_rot_matrix) - dist = self.cam_data_0.pos_world - self.cam_data_1.pos_world - dist_rot = self.cam_data_0.rot_world.apply(dist) - inverse = self.stereo_rotation.inv().as_quat() - inverse[3] *= -1 - inverse = Rotation.from_quat(inverse) - self.stereo_dist = inverse.apply(dist_rot) - - @classmethod - def from_calibration(cls, - calib_path: Path, - pos_world_0: np.ndarray, - rot_world_0: Rotation, - focal_length: float) -> Self: - """A method to initialise the CameraStereo using a calibration file and - some additional parameters. This creates an instance of the CameraStereo - class from the calibration parameters. - - Parameters - ---------- - calib_path : Path - The path to the calibration file (in yaml format). - pos_world_0 : np.ndarray - The position of camera 0 in world coordinates. - rot_world_0 : Rotation - The rotation of camera 0 in world coordinates. - focal_length : float - The focal length of camera 0. - - Returns - ------- - Self - An instance of the CameraStereo class, given the specified parameters. - """ - calib_params = yaml.safe_load(calib_path.read_text()) - pixels_num_cam0 = np.array([int(calib_params['Cam0_Cx [pixels]']*2), - int(calib_params['Cam0_Cy [pixels]']*2)]) - pixels_num_cam1 = np.array([int(calib_params['Cam1_Cx [pixels]']*2), - int(calib_params['Cam1_Cy [pixels]']*2)]) - pixels_size = focal_length / calib_params["Cam0_Fx [pixels]"] - stereo_rotation = Rotation.from_euler("xyz", ([calib_params['Theta [deg]'], - calib_params['Phi [deg]'], - calib_params['Psi [deg]']]), degrees=True) - stereo_dist = np.array([calib_params["Tx [mm]"], - calib_params["Ty [mm]"], - calib_params["Tz [mm]"]]) - - rot_world_1 = stereo_rotation * rot_world_0 - - inverse = stereo_rotation.inv().as_quat() - inverse[3] *= -1 - inverse = Rotation.from_quat(inverse) - - dist_rot = inverse.inv().apply(stereo_dist) - dist = rot_world_0.inv().apply(dist_rot) - pos_world_1 = pos_world_0 - dist - - cam_data_0 = CameraData(pixels_num=pixels_num_cam0, - pixels_size=np.array([pixels_size, pixels_size]), - pos_world=pos_world_0, - rot_world=rot_world_0, - roi_cent_world=np.array([0, 0, 0]), - focal_length=focal_length) - cam_data_1 = CameraData(pixels_num=pixels_num_cam1, - pixels_size=np.array([pixels_size, pixels_size]), - pos_world=pos_world_1, - rot_world=rot_world_1, - roi_cent_world=np.array([0, 0, 0]), - focal_length=focal_length) - camera_stereo = cls(cam_data_0, cam_data_1) - - return camera_stereo - - def save_calibration(self, base_dir: Path) -> None: - """A method to save a calibration file of the stereo system as a yaml. - This is so that the file can easily be read into python, but is also - user-readable. - - Parameters - ---------- - base_dir : Path - The base directory to which all files should be saved. The - calibration file will be saved in a sub-directory named "calibration" - within this directory. - - Raises - ------ - BlenderError - "The specified save directory does not exist" - """ - stereo_rotation = self.stereo_rotation.as_euler("xyz", degrees=True) - calib_params = { - "Cam0_Fx [pixels]": float(self.cam_data_0.focal_length / - self.cam_data_0.pixels_size[0]), - "Cam0_Fy [pixels]": float(self.cam_data_0.focal_length / - self.cam_data_0.pixels_size[1]), - "Cam0_Fs [pixels]": 0, - "Cam0_Kappa 1": self.cam_data_0.k1, - "Cam0_Kappa 2": self.cam_data_0.k2, - "Cam0_Kappa 3": self.cam_data_0.k3, - "Cam0_P1": self.cam_data_0.p1, - "Cam0_P2": self.cam_data_0.p2, - "Cam0_Cx [pixels]": float(self.cam_data_0.c0), - "Cam0_Cy [pixels]": float(self.cam_data_0.c1), - "Cam1_Fx [pixels]": float(self.cam_data_1.focal_length / - self.cam_data_1.pixels_size[0]), - "Cam1_Fy [pixels]": float(self.cam_data_1.focal_length / - self.cam_data_1.pixels_size[1]), - "Cam1_Fs [pixels]": 0, - "Cam1_Kappa 1": self.cam_data_1.k1, - "Cam1_Kappa 2": self.cam_data_1.k2, - "Cam1_Kappa 3": self.cam_data_1.k3, - "Cam1_P1": self.cam_data_1.p1, - "Cam1_P2": self.cam_data_1.p2, - "Cam1_Cx [pixels]": float(self.cam_data_1.c0), - "Cam1_Cy [pixels]": float(self.cam_data_1.c1), - "Tx [mm]": float(self.stereo_dist[0]), - "Ty [mm]": float(self.stereo_dist[1]), - "Tz [mm]": float(self.stereo_dist[2]), - "Theta [deg]": float(stereo_rotation[0]), - "Phi [deg]": float(stereo_rotation[1]), - "Psi [deg]": float(stereo_rotation[2]) - } - if not base_dir.is_dir(): - raise BlenderError("The specified save directory does not exist") - - save_dir = base_dir / "calibration" - if not save_dir.is_dir(): - save_dir.mkdir(parents=True, exist_ok=True) - - filepath = str(save_dir / "calibration.yaml") - calib_file = open(filepath, "w") - yaml.safe_dump(calib_params, calib_file) - calib_file.close() - print("Calibration file saved to:", (save_dir / "calibration.yaml")) - - def save_calibration_mid(self, base_dir: Path) -> None: - """A method to save a calibration file of the stereo system in a MatchID - accepted format. - - Parameters - ---------- - base_dir : Path - The base directory to which all files should be saved. The - calibration file will be saved in a sub-directory named "calibration" - within this directory. - - Raises - ------ - BlenderError - "The specified save directory does not exist" - """ - if not base_dir.is_dir(): - raise BlenderError("The specified save directory does not exist") - - save_dir = base_dir / "calibration" - if not save_dir.is_dir(): - save_dir.mkdir(parents=True, exist_ok=True) - - filepath = str(save_dir / "calibration.caldat") - with open(filepath, "w") as file: - file.write(f'Cam0_Fx [pixels]; {self.cam_data_0.focal_length/ self.cam_data_0.pixels_size[0]}\n') - file.write(f'Cam0_Fy [pixels]; {self.cam_data_0.focal_length/ self.cam_data_0.pixels_size[1]}\n') - file.write("Cam0_Fs [pixels];0\n") - file.write(f'Cam0_Kappa 1;{self.cam_data_0.k1}\n') - file.write(f'Cam0_Kappa 2;{self.cam_data_0.k2}\n') - file.write(f'Cam0_Kappa 3;{self.cam_data_0.k3}\n') - file.write(f'Cam0_P1;{self.cam_data_0.p1}\n') - file.write(f'Cam0_P2;{self.cam_data_0.p2}\n') - file.write(f'Cam0_Cx [pixels];{self.cam_data_0.c0}\n') - file.write(f'Cam0_Cy [pixels];{self.cam_data_0.c1}\n') - file.write(f'Cam1_Fx [pixels]; {self.cam_data_1.focal_length/ self.cam_data_1.pixels_size[0]}\n') - file.write(f'Cam1_Fy [pixels]; {self.cam_data_1.focal_length/ self.cam_data_1.pixels_size[1]}\n') - file.write("Cam1_Fs [pixels];0\n") - file.write(f'Cam1_Kappa 1;{self.cam_data_1.k1}\n') - file.write(f'Cam1_Kappa 2;{self.cam_data_1.k2}\n') - file.write(f'Cam1_Kappa 3;{self.cam_data_1.k3}\n') - file.write(f'Cam1_P1;{self.cam_data_1.p1}\n') - file.write(f'Cam1_P2;{self.cam_data_1.p2}\n') - file.write(f'Cam1_Cx [pixels];{self.cam_data_1.c0}\n') - file.write(f'Cam1_Cy [pixels];{self.cam_data_1.c1}\n') - file.write(f"Tx [mm];{self.stereo_dist[0]}\n") - file.write(f"Ty [mm];{self.stereo_dist[1]}\n") - file.write(f"Tz [mm];{self.stereo_dist[2]}\n") - stereo_rotation = self.stereo_rotation.as_euler("xyz", degrees=True) - file.write(f"Theta [deg];{stereo_rotation[0]}\n") - file.write(f"Phi [deg];{stereo_rotation[1]}\n") - file.write(f"Psi [deg];{stereo_rotation[2]}") diff --git a/src/pyvale/sensorsim/cameratools.py b/src/pyvale/sensorsim/cameratools.py index df7fb119b..e885c382c 100644 --- a/src/pyvale/sensorsim/cameratools.py +++ b/src/pyvale/sensorsim/cameratools.py @@ -12,14 +12,11 @@ from pathlib import Path import numpy as np from scipy.signal import convolve2d -import copy from scipy.spatial.transform import Rotation import matplotlib.image as mplim from PIL import Image -from pyvale.sensorsim.cameradata2d import CameraData2D from pyvale.sensorsim.sensordata import SensorData -from pyvale.sensorsim.cameradata import CameraData -from pyvale.sensorsim.camerastereo import CameraStereo +from pyvale.render.camera import Camera class CameraTools: @@ -175,7 +172,7 @@ def average_subpixel_image(subpx_image: np.ndarray, return avg_image @staticmethod - def build_sensor_data_from_camera_2d(cam_data: CameraData2D) -> SensorData: + def build_sensor_data_from_camera_2d(cam_data: Camera) -> SensorData: pixels_vectorised = CameraTools.vectorise_pixel_grid_leng(cam_data.field_of_view, cam_data.leng_per_px) @@ -290,7 +287,7 @@ def pos_fill_frame_all(coords_world_list: list[np.ndarray], # Blender camera tools @staticmethod - def calculate_FOV(cam_data: CameraData) -> tuple[float, float]: + def calculate_FOV(cam_data: Camera) -> tuple[float, float]: """A method to calulate the camera's field of view in mm Parameters @@ -312,7 +309,7 @@ def calculate_FOV(cam_data: CameraData) -> tuple[float, float]: return FOV_mm @staticmethod - def blender_FOV(cam_data: CameraData) -> tuple[float, float]: + def blender_FOV(cam_data: Camera) -> tuple[float, float]: """A method to calculate the camera's field of view in mm using Blender's method. This method differs due to one simplification. @@ -332,7 +329,7 @@ def blender_FOV(cam_data: CameraData) -> tuple[float, float]: return FOV_blender @staticmethod - def calculate_mm_px_resolution(cam_data: CameraData) -> float: + def calculate_mm_px_resolution(cam_data: Camera) -> float: """Function to calculate the mm/px resolution of a camera Parameters @@ -378,7 +375,7 @@ def focal_length_from_resolution(pixels_size: np.ndarray, def blender_camera_from_resolution(pixels_num: np.ndarray, pixels_size: np.ndarray, working_dist: float, - resolution: float) -> CameraData: + resolution: float) -> Camera: """A convenience function to create a camera object in Blender from its pixels, the pixel size, the working distance and desired resolution. @@ -400,85 +397,10 @@ def blender_camera_from_resolution(pixels_num: np.ndarray, """ focal_length = CameraTools.focal_length_from_resolution(pixels_size, working_dist, resolution) - cam_data = CameraData(pixels_num=pixels_num, + cam_data = Camera(pixels_num=pixels_num, pixels_size=pixels_size, pos_world=(0, 0, working_dist), rot_world=Rotation.from_euler("xyz", [0, 0, 0]), roi_cent_world=(0, 0, 0), focal_length=focal_length) return cam_data - - @staticmethod - def symmetric_stereo_cameras(cam_data_0: CameraData, - stereo_angle:float) -> CameraStereo: - """A convenience function to set up a symmetric stereo camera system, given - an initial CameraData dataclass and a stereo angle. This assumes the basic - camera parameters are the same. - - Parameters - ---------- - cam_data_0 : CameraData - A dataclass containing the camera parameters for a single camera, which - will be camera 0. - stereo_angle : float - The stereo angle between the two cameras. - - Returns - ------- - CameraStereo - An instance of the CameraStereo class. This class contains - information about each of the cameras, as well as the extrinsic - parameters between them. - """ - cam_data_1 = copy.deepcopy(cam_data_0) - base = 2 * cam_data_0.pos_world[2] * np.tan(np.radians(stereo_angle) / 2) - - cam_data_0.pos_world[0] -= base / 2 - cam_data_1.pos_world[0] += base / 2 - - cam_0_rot = (0, -np.radians(stereo_angle / 2), 0) - cam_0_rot = Rotation.from_euler("xyz", cam_0_rot, degrees=False) - cam_data_0.rot_world = cam_0_rot - - cam_1_rot = (0, np.radians(stereo_angle / 2), 0) - cam_1_rot = Rotation.from_euler("xyz", cam_1_rot, degrees=False) - cam_data_1.rot_world = cam_1_rot - - stereo_system = CameraStereo(cam_data_0, cam_data_1) - - return stereo_system - - @staticmethod - def faceon_stereo_cameras(cam_data_0: CameraData, - stereo_angle: float) -> CameraStereo: - # TODO: Correct docstring - """A convenience function to set up a face-on stereo camera system, given - an initial CameraData dataclass and a stereo angle. This assumes the basic - camera parameters are the same. - - Parameters - ---------- - cam_data_0 : CameraData - A dataclass containing the camera parameters for a single camera, which - will be camera 0. - stereo_angle : float - The stereo angle between the two cameras. - - Returns - ------- - CameraStereo - An instance of the CameraStereo class. This class contains - information about each of the cameras, as well as the extrinsic - parameters between them. - """ - cam_data_1 = copy.deepcopy(cam_data_0) - base = cam_data_0.pos_world[2] * np.tan(np.radians(stereo_angle)) - cam_data_1.pos_world[0] += base - - rotation_angle = (0, np.radians(stereo_angle), 0) - rotation_angle = Rotation.from_euler("xyz", rotation_angle, degrees=False) - cam_data_1.rot_world = rotation_angle - - stereo_system = CameraStereo(cam_data_0, cam_data_1) - - return stereo_system \ No newline at end of file diff --git a/src/pyvale/sensorsim/cython/rastercyth.c b/src/pyvale/sensorsim/cython/rastercyth.c deleted file mode 100644 index 6679b4997..000000000 --- a/src/pyvale/sensorsim/cython/rastercyth.c +++ /dev/null @@ -1,32404 +0,0 @@ -/* Generated by Cython 3.2.1 */ - -/* BEGIN: Cython Metadata -{ - "distutils": { - "depends": [], - "extra_compile_args": [ - "-fopenmp" - ], - "extra_link_args": [ - "-fopenmp" - ], - "include_dirs": [ - "/tmp/pip-build-env-enic_vzl/overlay/lib/python3.11/site-packages/numpy/core/include" - ], - "name": "pyvale.sensorsim.cython.rastercyth", - "sources": [ - "src/pyvale/sensorsim/cython/rastercyth.py" - ] - }, - "module_name": "pyvale.sensorsim.cython.rastercyth" -} -END: Cython Metadata */ - -#ifndef PY_SSIZE_T_CLEAN -#define PY_SSIZE_T_CLEAN -#endif /* PY_SSIZE_T_CLEAN */ -/* InitLimitedAPI */ -#if defined(Py_LIMITED_API) - #if !defined(CYTHON_LIMITED_API) - #define CYTHON_LIMITED_API 1 - #endif -#elif defined(CYTHON_LIMITED_API) - #ifdef _MSC_VER - #pragma message ("Limited API usage is enabled with 'CYTHON_LIMITED_API' but 'Py_LIMITED_API' does not define a Python target version. Consider setting 'Py_LIMITED_API' instead.") - #else - #warning Limited API usage is enabled with 'CYTHON_LIMITED_API' but 'Py_LIMITED_API' does not define a Python target version. Consider setting 'Py_LIMITED_API' instead. - #endif -#endif - -#include "Python.h" -#ifndef Py_PYTHON_H - #error Python headers needed to compile C extensions, please install development version of Python. -#elif PY_VERSION_HEX < 0x03080000 - #error Cython requires Python 3.8+. -#else -#define __PYX_ABI_VERSION "3_2_1" -#define CYTHON_HEX_VERSION 0x030201F0 -#define CYTHON_FUTURE_DIVISION 1 -/* CModulePreamble */ -#include -#ifndef offsetof - #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) -#endif -#if !defined(_WIN32) && !defined(WIN32) && !defined(MS_WINDOWS) - #ifndef __stdcall - #define __stdcall - #endif - #ifndef __cdecl - #define __cdecl - #endif - #ifndef __fastcall - #define __fastcall - #endif -#endif -#ifndef DL_IMPORT - #define DL_IMPORT(t) t -#endif -#ifndef DL_EXPORT - #define DL_EXPORT(t) t -#endif -#define __PYX_COMMA , -#ifndef PY_LONG_LONG - #define PY_LONG_LONG LONG_LONG -#endif -#ifndef Py_HUGE_VAL - #define Py_HUGE_VAL HUGE_VAL -#endif -#define __PYX_LIMITED_VERSION_HEX PY_VERSION_HEX -#if defined(GRAALVM_PYTHON) - /* For very preliminary testing purposes. Most variables are set the same as PyPy. - The existence of this section does not imply that anything works or is even tested */ - #define CYTHON_COMPILING_IN_PYPY 0 - #define CYTHON_COMPILING_IN_CPYTHON 0 - #define CYTHON_COMPILING_IN_LIMITED_API 0 - #define CYTHON_COMPILING_IN_GRAAL 1 - #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 0 - #undef CYTHON_USE_TYPE_SLOTS - #define CYTHON_USE_TYPE_SLOTS 0 - #undef CYTHON_USE_TYPE_SPECS - #define CYTHON_USE_TYPE_SPECS 0 - #undef CYTHON_USE_PYTYPE_LOOKUP - #define CYTHON_USE_PYTYPE_LOOKUP 0 - #undef CYTHON_USE_PYLIST_INTERNALS - #define CYTHON_USE_PYLIST_INTERNALS 0 - #undef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 0 - #undef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #undef CYTHON_USE_PYLONG_INTERNALS - #define CYTHON_USE_PYLONG_INTERNALS 0 - #undef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 1 - #undef CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS - #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 0 - #undef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 0 - #undef CYTHON_ASSUME_SAFE_SIZE - #define CYTHON_ASSUME_SAFE_SIZE 0 - #undef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 0 - #undef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 0 - #undef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL 0 - #undef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL 0 - #undef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 0 - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS 1 - #endif - #undef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #undef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 0 - #undef CYTHON_USE_SYS_MONITORING - #define CYTHON_USE_SYS_MONITORING 0 - #undef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE 0 - #undef CYTHON_USE_AM_SEND - #define CYTHON_USE_AM_SEND 0 - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 1 - #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC - #define CYTHON_UPDATE_DESCRIPTOR_DOC 0 - #endif - #undef CYTHON_USE_FREELISTS - #define CYTHON_USE_FREELISTS 0 - #undef CYTHON_IMMORTAL_CONSTANTS - #define CYTHON_IMMORTAL_CONSTANTS 0 -#elif defined(PYPY_VERSION) - #define CYTHON_COMPILING_IN_PYPY 1 - #define CYTHON_COMPILING_IN_CPYTHON 0 - #define CYTHON_COMPILING_IN_LIMITED_API 0 - #define CYTHON_COMPILING_IN_GRAAL 0 - #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 0 - #undef CYTHON_USE_TYPE_SLOTS - #define CYTHON_USE_TYPE_SLOTS 1 - #ifndef CYTHON_USE_TYPE_SPECS - #define CYTHON_USE_TYPE_SPECS 0 - #endif - #undef CYTHON_USE_PYTYPE_LOOKUP - #define CYTHON_USE_PYTYPE_LOOKUP 0 - #undef CYTHON_USE_PYLIST_INTERNALS - #define CYTHON_USE_PYLIST_INTERNALS 0 - #undef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 0 - #undef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #undef CYTHON_USE_PYLONG_INTERNALS - #define CYTHON_USE_PYLONG_INTERNALS 0 - #undef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 1 - #undef CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS - #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 1 - #undef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 0 - #ifndef CYTHON_ASSUME_SAFE_SIZE - #define CYTHON_ASSUME_SAFE_SIZE 1 - #endif - #undef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 0 - #undef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 0 - #undef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL 0 - #undef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL 0 - #undef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 0 - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS 1 - #endif - #if PY_VERSION_HEX < 0x03090000 - #undef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 0 - #elif !defined(CYTHON_PEP489_MULTI_PHASE_INIT) - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #endif - #undef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 0 - #undef CYTHON_USE_SYS_MONITORING - #define CYTHON_USE_SYS_MONITORING 0 - #ifndef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE (PYPY_VERSION_NUM >= 0x07030C00) - #endif - #undef CYTHON_USE_AM_SEND - #define CYTHON_USE_AM_SEND 0 - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 - #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC - #define CYTHON_UPDATE_DESCRIPTOR_DOC (PYPY_VERSION_NUM >= 0x07031100) - #endif - #undef CYTHON_USE_FREELISTS - #define CYTHON_USE_FREELISTS 0 - #undef CYTHON_IMMORTAL_CONSTANTS - #define CYTHON_IMMORTAL_CONSTANTS 0 -#elif defined(CYTHON_LIMITED_API) - #ifdef Py_LIMITED_API - #undef __PYX_LIMITED_VERSION_HEX - #define __PYX_LIMITED_VERSION_HEX Py_LIMITED_API - #endif - #define CYTHON_COMPILING_IN_PYPY 0 - #define CYTHON_COMPILING_IN_CPYTHON 0 - #define CYTHON_COMPILING_IN_LIMITED_API 1 - #define CYTHON_COMPILING_IN_GRAAL 0 - #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 0 - #undef CYTHON_USE_TYPE_SLOTS - #define CYTHON_USE_TYPE_SLOTS 0 - #undef CYTHON_USE_TYPE_SPECS - #define CYTHON_USE_TYPE_SPECS 1 - #undef CYTHON_USE_PYTYPE_LOOKUP - #define CYTHON_USE_PYTYPE_LOOKUP 0 - #undef CYTHON_USE_PYLIST_INTERNALS - #define CYTHON_USE_PYLIST_INTERNALS 0 - #undef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 0 - #ifndef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #endif - #undef CYTHON_USE_PYLONG_INTERNALS - #define CYTHON_USE_PYLONG_INTERNALS 0 - #ifndef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 0 - #endif - #ifndef CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS - #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 0 - #endif - #undef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 0 - #undef CYTHON_ASSUME_SAFE_SIZE - #define CYTHON_ASSUME_SAFE_SIZE 0 - #undef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 0 - #undef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 0 - #undef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL 0 - #undef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL (__PYX_LIMITED_VERSION_HEX >= 0x030C0000) - #undef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 0 - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS 1 - #endif - #ifndef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #endif - #ifndef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 0 - #endif - #undef CYTHON_USE_SYS_MONITORING - #define CYTHON_USE_SYS_MONITORING 0 - #ifndef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE 0 - #endif - #ifndef CYTHON_USE_AM_SEND - #define CYTHON_USE_AM_SEND (__PYX_LIMITED_VERSION_HEX >= 0x030A0000) - #endif - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 - #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC - #define CYTHON_UPDATE_DESCRIPTOR_DOC 0 - #endif - #ifndef CYTHON_USE_FREELISTS - #define CYTHON_USE_FREELISTS 1 - #endif - #undef CYTHON_IMMORTAL_CONSTANTS - #define CYTHON_IMMORTAL_CONSTANTS 0 -#else - #define CYTHON_COMPILING_IN_PYPY 0 - #define CYTHON_COMPILING_IN_CPYTHON 1 - #define CYTHON_COMPILING_IN_LIMITED_API 0 - #define CYTHON_COMPILING_IN_GRAAL 0 - #ifdef Py_GIL_DISABLED - #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 1 - #else - #define CYTHON_COMPILING_IN_CPYTHON_FREETHREADING 0 - #endif - #if PY_VERSION_HEX < 0x030A0000 - #undef CYTHON_USE_TYPE_SLOTS - #define CYTHON_USE_TYPE_SLOTS 1 - #elif !defined(CYTHON_USE_TYPE_SLOTS) - #define CYTHON_USE_TYPE_SLOTS 1 - #endif - #ifndef CYTHON_USE_TYPE_SPECS - #define CYTHON_USE_TYPE_SPECS 0 - #endif - #ifndef CYTHON_USE_PYTYPE_LOOKUP - #define CYTHON_USE_PYTYPE_LOOKUP 1 - #endif - #ifndef CYTHON_USE_PYLONG_INTERNALS - #define CYTHON_USE_PYLONG_INTERNALS 1 - #endif - #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - #undef CYTHON_USE_PYLIST_INTERNALS - #define CYTHON_USE_PYLIST_INTERNALS 0 - #elif !defined(CYTHON_USE_PYLIST_INTERNALS) - #define CYTHON_USE_PYLIST_INTERNALS 1 - #endif - #ifndef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 1 - #endif - #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING || PY_VERSION_HEX >= 0x030B00A2 - #undef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #elif !defined(CYTHON_USE_UNICODE_WRITER) - #define CYTHON_USE_UNICODE_WRITER 1 - #endif - #ifndef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 0 - #endif - #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - #undef CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS - #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 1 - #elif !defined(CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS) - #define CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS 0 - #endif - #ifndef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 1 - #endif - #ifndef CYTHON_ASSUME_SAFE_SIZE - #define CYTHON_ASSUME_SAFE_SIZE 1 - #endif - #ifndef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 1 - #endif - #ifndef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 1 - #endif - #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - #undef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL 0 - #elif !defined(CYTHON_FAST_GIL) - #define CYTHON_FAST_GIL (PY_VERSION_HEX < 0x030C00A6) - #endif - #ifndef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL 1 - #endif - #ifndef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 1 - #endif - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS 1 - #endif - #ifndef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #endif - #ifndef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 0 - #endif - #ifndef CYTHON_USE_SYS_MONITORING - #define CYTHON_USE_SYS_MONITORING (PY_VERSION_HEX >= 0x030d00B1) - #endif - #ifndef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE 1 - #endif - #ifndef CYTHON_USE_AM_SEND - #define CYTHON_USE_AM_SEND 1 - #endif - #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #elif !defined(CYTHON_USE_DICT_VERSIONS) - #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX < 0x030C00A5 && !CYTHON_USE_MODULE_STATE) - #endif - #ifndef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 1 - #endif - #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC - #define CYTHON_UPDATE_DESCRIPTOR_DOC 1 - #endif - #ifndef CYTHON_USE_FREELISTS - #define CYTHON_USE_FREELISTS (!CYTHON_COMPILING_IN_CPYTHON_FREETHREADING) - #endif - #if defined(CYTHON_IMMORTAL_CONSTANTS) && PY_VERSION_HEX < 0x030C0000 - #undef CYTHON_IMMORTAL_CONSTANTS - #define CYTHON_IMMORTAL_CONSTANTS 0 // definitely won't work - #elif !defined(CYTHON_IMMORTAL_CONSTANTS) - #define CYTHON_IMMORTAL_CONSTANTS (PY_VERSION_HEX >= 0x030C0000 && !CYTHON_USE_MODULE_STATE && CYTHON_COMPILING_IN_CPYTHON_FREETHREADING) - #endif -#endif -#ifndef CYTHON_COMPRESS_STRINGS - #define CYTHON_COMPRESS_STRINGS 1 -#endif -#ifndef CYTHON_FAST_PYCCALL -#define CYTHON_FAST_PYCCALL CYTHON_FAST_PYCALL -#endif -#ifndef CYTHON_VECTORCALL -#if CYTHON_COMPILING_IN_LIMITED_API -#define CYTHON_VECTORCALL (__PYX_LIMITED_VERSION_HEX >= 0x030C0000) -#else -#define CYTHON_VECTORCALL (CYTHON_FAST_PYCCALL) -#endif -#endif -#if CYTHON_USE_PYLONG_INTERNALS - #undef SHIFT - #undef BASE - #undef MASK - #ifdef SIZEOF_VOID_P - enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; - #endif -#endif -#ifndef __has_attribute - #define __has_attribute(x) 0 -#endif -#ifndef __has_cpp_attribute - #define __has_cpp_attribute(x) 0 -#endif -#ifndef CYTHON_RESTRICT - #if defined(__GNUC__) - #define CYTHON_RESTRICT __restrict__ - #elif defined(_MSC_VER) && _MSC_VER >= 1400 - #define CYTHON_RESTRICT __restrict - #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L - #define CYTHON_RESTRICT restrict - #else - #define CYTHON_RESTRICT - #endif -#endif -#ifndef CYTHON_UNUSED - #if defined(__cplusplus) - /* for clang __has_cpp_attribute(maybe_unused) is true even before C++17 - * but leads to warnings with -pedantic, since it is a C++17 feature */ - #if ((defined(_MSVC_LANG) && _MSVC_LANG >= 201703L) || __cplusplus >= 201703L) - #if __has_cpp_attribute(maybe_unused) - #define CYTHON_UNUSED [[maybe_unused]] - #endif - #endif - #endif -#endif -#ifndef CYTHON_UNUSED -# if defined(__GNUC__) -# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) -# define CYTHON_UNUSED __attribute__ ((__unused__)) -# else -# define CYTHON_UNUSED -# endif -# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) -# define CYTHON_UNUSED __attribute__ ((__unused__)) -# else -# define CYTHON_UNUSED -# endif -#endif -#ifndef CYTHON_UNUSED_VAR -# if defined(__cplusplus) - template void CYTHON_UNUSED_VAR( const T& ) { } -# else -# define CYTHON_UNUSED_VAR(x) (void)(x) -# endif -#endif -#ifndef CYTHON_MAYBE_UNUSED_VAR - #define CYTHON_MAYBE_UNUSED_VAR(x) CYTHON_UNUSED_VAR(x) -#endif -#ifndef CYTHON_NCP_UNUSED -# if CYTHON_COMPILING_IN_CPYTHON && !CYTHON_COMPILING_IN_CPYTHON_FREETHREADING -# define CYTHON_NCP_UNUSED -# else -# define CYTHON_NCP_UNUSED CYTHON_UNUSED -# endif -#endif -#ifndef CYTHON_USE_CPP_STD_MOVE - #if defined(__cplusplus) && (\ - __cplusplus >= 201103L || (defined(_MSC_VER) && _MSC_VER >= 1600)) - #define CYTHON_USE_CPP_STD_MOVE 1 - #else - #define CYTHON_USE_CPP_STD_MOVE 0 - #endif -#endif -#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) -#include -typedef uintptr_t __pyx_uintptr_t; -#ifndef CYTHON_FALLTHROUGH - #if defined(__cplusplus) - /* for clang __has_cpp_attribute(fallthrough) is true even before C++17 - * but leads to warnings with -pedantic, since it is a C++17 feature */ - #if ((defined(_MSVC_LANG) && _MSVC_LANG >= 201703L) || __cplusplus >= 201703L) - #if __has_cpp_attribute(fallthrough) - #define CYTHON_FALLTHROUGH [[fallthrough]] - #endif - #endif - #ifndef CYTHON_FALLTHROUGH - #if __has_cpp_attribute(clang::fallthrough) - #define CYTHON_FALLTHROUGH [[clang::fallthrough]] - #elif __has_cpp_attribute(gnu::fallthrough) - #define CYTHON_FALLTHROUGH [[gnu::fallthrough]] - #endif - #endif - #endif - #ifndef CYTHON_FALLTHROUGH - #if __has_attribute(fallthrough) - #define CYTHON_FALLTHROUGH __attribute__((fallthrough)) - #else - #define CYTHON_FALLTHROUGH - #endif - #endif - #if defined(__clang__) && defined(__apple_build_version__) - #if __apple_build_version__ < 7000000 - #undef CYTHON_FALLTHROUGH - #define CYTHON_FALLTHROUGH - #endif - #endif -#endif -#ifndef Py_UNREACHABLE - #define Py_UNREACHABLE() assert(0); abort() -#endif -#ifdef __cplusplus - template - struct __PYX_IS_UNSIGNED_IMPL {static const bool value = T(0) < T(-1);}; - #define __PYX_IS_UNSIGNED(type) (__PYX_IS_UNSIGNED_IMPL::value) -#else - #define __PYX_IS_UNSIGNED(type) (((type)-1) > 0) -#endif -#if CYTHON_COMPILING_IN_PYPY == 1 - #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX < 0x030A0000) -#else - #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX < 0x03090000) -#endif -#define __PYX_REINTERPRET_FUNCION(func_pointer, other_pointer) ((func_pointer)(void(*)(void))(other_pointer)) - -/* CInitCode */ -#ifndef CYTHON_INLINE - #if defined(__clang__) - #define CYTHON_INLINE __inline__ __attribute__ ((__unused__)) - #elif defined(__GNUC__) - #define CYTHON_INLINE __inline__ - #elif defined(_MSC_VER) - #define CYTHON_INLINE __inline - #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L - #define CYTHON_INLINE inline - #else - #define CYTHON_INLINE - #endif -#endif - -/* PythonCompatibility */ -#define __PYX_BUILD_PY_SSIZE_T "n" -#define CYTHON_FORMAT_SSIZE_T "z" -#define __Pyx_BUILTIN_MODULE_NAME "builtins" -#define __Pyx_DefaultClassType PyType_Type -#if CYTHON_COMPILING_IN_LIMITED_API - #ifndef CO_OPTIMIZED - static int CO_OPTIMIZED; - #endif - #ifndef CO_NEWLOCALS - static int CO_NEWLOCALS; - #endif - #ifndef CO_VARARGS - static int CO_VARARGS; - #endif - #ifndef CO_VARKEYWORDS - static int CO_VARKEYWORDS; - #endif - #ifndef CO_ASYNC_GENERATOR - static int CO_ASYNC_GENERATOR; - #endif - #ifndef CO_GENERATOR - static int CO_GENERATOR; - #endif - #ifndef CO_COROUTINE - static int CO_COROUTINE; - #endif -#else - #ifndef CO_COROUTINE - #define CO_COROUTINE 0x80 - #endif - #ifndef CO_ASYNC_GENERATOR - #define CO_ASYNC_GENERATOR 0x200 - #endif -#endif -static int __Pyx_init_co_variables(void); -#if PY_VERSION_HEX >= 0x030900A4 || defined(Py_IS_TYPE) - #define __Pyx_IS_TYPE(ob, type) Py_IS_TYPE(ob, type) -#else - #define __Pyx_IS_TYPE(ob, type) (((const PyObject*)ob)->ob_type == (type)) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_Is) - #define __Pyx_Py_Is(x, y) Py_Is(x, y) -#else - #define __Pyx_Py_Is(x, y) ((x) == (y)) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsNone) - #define __Pyx_Py_IsNone(ob) Py_IsNone(ob) -#else - #define __Pyx_Py_IsNone(ob) __Pyx_Py_Is((ob), Py_None) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsTrue) - #define __Pyx_Py_IsTrue(ob) Py_IsTrue(ob) -#else - #define __Pyx_Py_IsTrue(ob) __Pyx_Py_Is((ob), Py_True) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsFalse) - #define __Pyx_Py_IsFalse(ob) Py_IsFalse(ob) -#else - #define __Pyx_Py_IsFalse(ob) __Pyx_Py_Is((ob), Py_False) -#endif -#define __Pyx_NoneAsNull(obj) (__Pyx_Py_IsNone(obj) ? 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#define __Pyx_KwValues_FASTCALL(args, nargs) ((args) + (nargs)) - static CYTHON_INLINE PyObject * __Pyx_GetKwValue_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues, PyObject *s); - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 || CYTHON_COMPILING_IN_LIMITED_API - CYTHON_UNUSED static PyObject *__Pyx_KwargsAsDict_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues); - #else - #define __Pyx_KwargsAsDict_FASTCALL(kw, kwvalues) _PyStack_AsDict(kwvalues, kw) - #endif -#else - #define __Pyx_ArgRef_FASTCALL __Pyx_ArgRef_VARARGS - #define __Pyx_NumKwargs_FASTCALL __Pyx_NumKwargs_VARARGS - #define __Pyx_KwValues_FASTCALL __Pyx_KwValues_VARARGS - #define __Pyx_GetKwValue_FASTCALL __Pyx_GetKwValue_VARARGS - #define __Pyx_KwargsAsDict_FASTCALL __Pyx_KwargsAsDict_VARARGS -#endif -#define __Pyx_ArgsSlice_VARARGS(args, start, stop) PyTuple_GetSlice(args, start, stop) -#if CYTHON_METH_FASTCALL || (CYTHON_COMPILING_IN_CPYTHON && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) -#define __Pyx_ArgsSlice_FASTCALL(args, start, stop) __Pyx_PyTuple_FromArray(args + start, stop - 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-/* py_dict_values.proto (used by OwnedDictNext) */ -static CYTHON_INLINE PyObject* __Pyx_PyDict_Values(PyObject* d); - -/* OwnedDictNext.proto (used by ParseKeywordsImpl) */ -#if CYTHON_AVOID_BORROWED_REFS -static int __Pyx_PyDict_NextRef(PyObject *p, PyObject **ppos, PyObject **pkey, PyObject **pvalue); -#else -CYTHON_INLINE -static int __Pyx_PyDict_NextRef(PyObject *p, Py_ssize_t *ppos, PyObject **pkey, PyObject **pvalue); -#endif - -/* RaiseDoubleKeywords.proto (used by ParseKeywordsImpl) */ -static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); - -/* ParseKeywordsImpl.export */ -static int __Pyx_ParseKeywordsTuple( - PyObject *kwds, - PyObject * const *kwvalues, - PyObject ** const argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - Py_ssize_t num_kwargs, - const char* function_name, - int ignore_unknown_kwargs -); -static int __Pyx_ParseKeywordDictToDict( - PyObject *kwds, - PyObject ** const argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - const char* function_name -); -static int __Pyx_ParseKeywordDict( - PyObject *kwds, - PyObject ** const argnames[], - PyObject *values[], - Py_ssize_t num_pos_args, - Py_ssize_t num_kwargs, - const char* function_name, - int ignore_unknown_kwargs -); - -/* CallUnboundCMethod2.proto */ -CYTHON_UNUSED -static PyObject* __Pyx__CallUnboundCMethod2(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg1, PyObject* arg2); -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject *__Pyx_CallUnboundCMethod2(__Pyx_CachedCFunction *cfunc, PyObject *self, PyObject *arg1, PyObject *arg2); -#else -#define __Pyx_CallUnboundCMethod2(cfunc, self, arg1, arg2) __Pyx__CallUnboundCMethod2(cfunc, self, arg1, arg2) -#endif - -/* ParseKeywords.proto */ -static CYTHON_INLINE int __Pyx_ParseKeywords( - PyObject *kwds, PyObject *const *kwvalues, PyObject ** const argnames[], - PyObject *kwds2, PyObject *values[], - Py_ssize_t num_pos_args, Py_ssize_t num_kwargs, - const char* function_name, - int ignore_unknown_kwargs -); - -/* RaiseArgTupleInvalid.proto */ -static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, - Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); - -/* ArgTypeTestFunc.export */ -static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); - -/* ArgTypeTest.proto */ -#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\ - ((likely(__Pyx_IS_TYPE(obj, type) | (none_allowed && (obj == Py_None)))) ? 1 :\ - __Pyx__ArgTypeTest(obj, type, name, exact)) - -/* PyErrExceptionMatches.proto (used by PyObjectGetAttrStrNoError) */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err) -static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err); -#else -#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err) -#endif - -/* PyThreadStateGet.proto (used by PyErrFetchRestore) */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate; -#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current; -#if PY_VERSION_HEX >= 0x030C00A6 -#define __Pyx_PyErr_Occurred() (__pyx_tstate->current_exception != NULL) -#define __Pyx_PyErr_CurrentExceptionType() (__pyx_tstate->current_exception ? (PyObject*) Py_TYPE(__pyx_tstate->current_exception) : (PyObject*) NULL) -#else -#define __Pyx_PyErr_Occurred() (__pyx_tstate->curexc_type != NULL) -#define __Pyx_PyErr_CurrentExceptionType() (__pyx_tstate->curexc_type) -#endif -#else -#define __Pyx_PyThreadState_declare -#define __Pyx_PyThreadState_assign -#define __Pyx_PyErr_Occurred() (PyErr_Occurred() != NULL) -#define __Pyx_PyErr_CurrentExceptionType() PyErr_Occurred() -#endif - -/* PyErrFetchRestore.proto (used by PyObjectGetAttrStrNoError) */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL) -#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb) -#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb) -#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb) -#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); -static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A6 -#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL)) -#else -#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) -#endif -#else -#define __Pyx_PyErr_Clear() PyErr_Clear() -#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) -#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb) -#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb) -#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb) -#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb) -#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb) -#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb) -#endif - -/* PyObjectGetAttrStrNoError.proto (used by GetBuiltinName) */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name); - -/* GetBuiltinName.proto */ -static PyObject *__Pyx_GetBuiltinName(PyObject *name); - -/* PyValueError_Check.proto */ -#define __Pyx_PyExc_ValueError_Check(obj) __Pyx_TypeCheck(obj, PyExc_ValueError) - -/* RaiseException.export */ -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); - -/* PyObjectFastCallMethod.proto */ -#if CYTHON_VECTORCALL && PY_VERSION_HEX >= 0x03090000 -#define __Pyx_PyObject_FastCallMethod(name, args, nargsf) PyObject_VectorcallMethod(name, args, nargsf, NULL) -#else -static PyObject *__Pyx_PyObject_FastCallMethod(PyObject *name, PyObject *const *args, size_t nargsf); -#endif - -/* RaiseUnexpectedTypeError.proto */ -static int __Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj); - -/* PyMemoryError_Check.proto */ -#define __Pyx_PyExc_MemoryError_Check(obj) __Pyx_TypeCheck(obj, PyExc_MemoryError) - -/* BuildPyUnicode.proto (used by COrdinalToPyUnicode) */ -static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, const char* chars, int clength, - int prepend_sign, char padding_char); - -/* COrdinalToPyUnicode.proto (used by CIntToPyUnicode) */ -static CYTHON_INLINE int __Pyx_CheckUnicodeValue(int value); -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromOrdinal_Padded(int value, Py_ssize_t width, char padding_char); - -/* GCCDiagnostics.proto (used by CIntToPyUnicode) */ -#if !defined(__INTEL_COMPILER) && defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6)) -#define __Pyx_HAS_GCC_DIAGNOSTIC -#endif - -/* IncludeStdlibH.proto (used by CIntToPyUnicode) */ -#include - -/* CIntToPyUnicode.proto */ -#define __Pyx_PyUnicode_From_int(value, width, padding_char, format_char) (\ - ((format_char) == ('c')) ?\ - __Pyx_uchar___Pyx_PyUnicode_From_int(value, width, padding_char) :\ - __Pyx____Pyx_PyUnicode_From_int(value, width, padding_char, format_char)\ - ) -static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char); -static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char); - -/* CIntToPyUnicode.proto */ -#define __Pyx_PyUnicode_From_Py_ssize_t(value, width, padding_char, format_char) (\ - ((format_char) == ('c')) ?\ - __Pyx_uchar___Pyx_PyUnicode_From_Py_ssize_t(value, width, padding_char) :\ - __Pyx____Pyx_PyUnicode_From_Py_ssize_t(value, width, padding_char, format_char)\ - ) -static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char); -static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char); - -/* JoinPyUnicode.export */ -static PyObject* __Pyx_PyUnicode_Join(PyObject** values, Py_ssize_t value_count, Py_ssize_t result_ulength, - Py_UCS4 max_char); - -/* PyObjectFormatSimple.proto */ -#if CYTHON_COMPILING_IN_PYPY - #define __Pyx_PyObject_FormatSimple(s, f) (\ - likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ - PyObject_Format(s, f)) -#elif CYTHON_USE_TYPE_SLOTS - #define __Pyx_PyObject_FormatSimple(s, f) (\ - likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ - likely(PyLong_CheckExact(s)) ? PyLong_Type.tp_repr(s) :\ - likely(PyFloat_CheckExact(s)) ? PyFloat_Type.tp_repr(s) :\ - PyObject_Format(s, f)) -#else - #define __Pyx_PyObject_FormatSimple(s, f) (\ - likely(PyUnicode_CheckExact(s)) ? (Py_INCREF(s), s) :\ - PyObject_Format(s, f)) -#endif - -CYTHON_UNUSED static int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ -static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/ -/* GetAttr.proto */ -static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); - -/* GetItemInt.proto */ -#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck, unsafe_shared) :\ - (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ - __Pyx_GetItemInt_Generic(o, to_py_func(i)))) -#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck, unsafe_shared) :\ - (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, - int wraparound, int boundscheck, int unsafe_shared); -#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck, unsafe_shared) :\ - (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, - int wraparound, int boundscheck, int unsafe_shared); 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- -/* PyDictVersioning.proto (used by GetModuleGlobalName) */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1) -#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ - (version_var) = __PYX_GET_DICT_VERSION(dict);\ - (cache_var) = (value); -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ - (VAR) = __Pyx_XNewRef(__pyx_dict_cached_value);\ - } else {\ - (VAR) = __pyx_dict_cached_value = (LOOKUP);\ - __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ - }\ -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj); -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj); -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version); -#else -#define __PYX_GET_DICT_VERSION(dict) (0) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); -#endif - -/* GetModuleGlobalName.proto */ -#if CYTHON_USE_DICT_VERSIONS -#define __Pyx_GetModuleGlobalName(var, name) do {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_mstate_global->__pyx_d))) ?\ - (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ - __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} while(0) -#define __Pyx_GetModuleGlobalNameUncached(var, name) do {\ - PY_UINT64_T __pyx_dict_version;\ - PyObject *__pyx_dict_cached_value;\ - (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} while(0) -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); -#else -#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) -#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); -#endif - -/* AssertionsEnabled.proto */ -#if CYTHON_COMPILING_IN_LIMITED_API || PY_VERSION_HEX >= 0x030C0000 - static int __pyx_assertions_enabled_flag; - #define __pyx_assertions_enabled() (__pyx_assertions_enabled_flag) - static int __Pyx_init_assertions_enabled(void) { - PyObject *builtins, *debug, *debug_str; - int flag; - builtins = PyEval_GetBuiltins(); - if (!builtins) goto bad; - debug_str = PyUnicode_FromStringAndSize("__debug__", 9); - if (!debug_str) goto bad; - debug = PyObject_GetItem(builtins, debug_str); - Py_DECREF(debug_str); - if (!debug) goto bad; - flag = PyObject_IsTrue(debug); - Py_DECREF(debug); - if (flag == -1) goto bad; - __pyx_assertions_enabled_flag = flag; - return 0; - bad: - __pyx_assertions_enabled_flag = 1; - return -1; - } -#else - #define __Pyx_init_assertions_enabled() (0) - #define __pyx_assertions_enabled() (!Py_OptimizeFlag) -#endif - -/* PyAssertionError_Check.proto */ -#define __Pyx_PyExc_AssertionError_Check(obj) __Pyx_TypeCheck(obj, PyExc_AssertionError) - -/* RaiseTooManyValuesToUnpack.proto */ -static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); - -/* RaiseNeedMoreValuesToUnpack.proto */ -static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); - -/* RaiseNoneIterError.proto */ -static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); - -/* ExtTypeTest.proto */ -static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); - -/* GetTopmostException.proto (used by SaveResetException) */ -#if CYTHON_USE_EXC_INFO_STACK && CYTHON_FAST_THREAD_STATE -static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate); -#endif - -/* SaveResetException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); -#else -#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb) -#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb) -#endif - -/* GetException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb) -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); -#endif - -/* SwapException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#else -static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb); -#endif - -/* HasAttr.proto (used by ImportImpl) */ -#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 -#define __Pyx_HasAttr(o, n) PyObject_HasAttrWithError(o, n) -#else -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *); -#endif - -/* ImportImpl.export */ -static PyObject *__Pyx__Import(PyObject *name, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject *qualname, PyObject *moddict, int level); - -/* Import.proto */ -static CYTHON_INLINE PyObject *__Pyx_Import(PyObject *name, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject *qualname, int level); - -/* FastTypeChecks.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) __Pyx_IsAnySubtype2(Py_TYPE(obj), (PyTypeObject *)type1, (PyTypeObject *)type2) -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); -#else -#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) (PyObject_TypeCheck(obj, (PyTypeObject *)type1) || PyObject_TypeCheck(obj, (PyTypeObject *)type2)) -#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2) { - return PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2); -} -#endif -#define __Pyx_PyErr_ExceptionMatches2(err1, err2) __Pyx_PyErr_GivenExceptionMatches2(__Pyx_PyErr_CurrentExceptionType(), err1, err2) -#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) -#ifdef PyExceptionInstance_Check - #define __Pyx_PyBaseException_Check(obj) PyExceptionInstance_Check(obj) -#else - #define __Pyx_PyBaseException_Check(obj) __Pyx_TypeCheck(obj, PyExc_BaseException) -#endif - -CYTHON_UNUSED static int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ -/* ListCompAppend.proto */ -#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS -static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { - PyListObject* L = (PyListObject*) list; - Py_ssize_t len = Py_SIZE(list); - if (likely(L->allocated > len)) { - Py_INCREF(x); - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 - L->ob_item[len] = x; - #else - PyList_SET_ITEM(list, len, x); - #endif - __Pyx_SET_SIZE(list, len + 1); - return 0; - } - return PyList_Append(list, x); -} -#else -#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) -#endif - -/* PySequenceMultiply.proto */ -#define __Pyx_PySequence_Multiply_Left(mul, seq) __Pyx_PySequence_Multiply(seq, mul) -static CYTHON_INLINE PyObject* __Pyx_PySequence_Multiply(PyObject *seq, Py_ssize_t mul); - -/* PyObjectFormatAndDecref.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatSimpleAndDecref(PyObject* s, PyObject* f); -static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatAndDecref(PyObject* s, PyObject* f); - -/* PyObjectFormat.proto */ -#if CYTHON_USE_UNICODE_WRITER -static PyObject* __Pyx_PyObject_Format(PyObject* s, PyObject* f); -#else -#define __Pyx_PyObject_Format(s, f) PyObject_Format(s, f) -#endif - -/* SetItemInt.proto */ -#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck, unsafe_shared) :\ - (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\ - __Pyx_SetItemInt_Generic(o, to_py_func(i), v))) -static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); -static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, - int is_list, int wraparound, int boundscheck, int unsafe_shared); - -/* RaiseUnboundLocalError.proto */ -static void __Pyx_RaiseUnboundLocalError(const char *varname); - -/* PyIndexError_Check.proto */ -#define __Pyx_PyExc_IndexError_Check(obj) __Pyx_TypeCheck(obj, PyExc_IndexError) - -/* DivInt[long].proto */ -static CYTHON_INLINE long __Pyx_div_long(long, long, int b_is_constant); - -/* PyObjectVectorCallKwBuilder.proto */ -CYTHON_UNUSED static int __Pyx_VectorcallBuilder_AddArg_Check(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n); -#if CYTHON_VECTORCALL -#if PY_VERSION_HEX >= 0x03090000 -#define __Pyx_Object_Vectorcall_CallFromBuilder PyObject_Vectorcall -#else -#define __Pyx_Object_Vectorcall_CallFromBuilder _PyObject_Vectorcall -#endif -#define __Pyx_MakeVectorcallBuilderKwds(n) PyTuple_New(n) -static int __Pyx_VectorcallBuilder_AddArg(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n); -static int __Pyx_VectorcallBuilder_AddArgStr(const char *key, PyObject *value, PyObject *builder, PyObject **args, int n); -#else -#define __Pyx_Object_Vectorcall_CallFromBuilder __Pyx_PyObject_FastCallDict -#define __Pyx_MakeVectorcallBuilderKwds(n) __Pyx_PyDict_NewPresized(n) -#define __Pyx_VectorcallBuilder_AddArg(key, value, builder, args, n) PyDict_SetItem(builder, key, value) -#define __Pyx_VectorcallBuilder_AddArgStr(key, value, builder, args, n) PyDict_SetItemString(builder, key, value) -#endif - -/* WriteUnraisableException.proto */ -static void __Pyx_WriteUnraisable(const char *name, int clineno, - int lineno, const char *filename, - int full_traceback, int nogil); - -/* AllocateExtensionType.proto */ -static PyObject *__Pyx_AllocateExtensionType(PyTypeObject *t, int is_final); - -/* CallTypeTraverse.proto */ -#if !CYTHON_USE_TYPE_SPECS || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x03090000) -#define __Pyx_call_type_traverse(o, always_call, visit, arg) 0 -#else -static int __Pyx_call_type_traverse(PyObject *o, int always_call, visitproc visit, void *arg); -#endif - -/* LimitedApiGetTypeDict.proto (used by SetItemOnTypeDict) */ -#if CYTHON_COMPILING_IN_LIMITED_API -static PyObject *__Pyx_GetTypeDict(PyTypeObject *tp); -#endif - -/* SetItemOnTypeDict.proto (used by FixUpExtensionType) */ -static int __Pyx__SetItemOnTypeDict(PyTypeObject *tp, PyObject *k, PyObject *v); -#define __Pyx_SetItemOnTypeDict(tp, k, v) __Pyx__SetItemOnTypeDict((PyTypeObject*)tp, k, v) - -/* FixUpExtensionType.proto */ -static CYTHON_INLINE int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type); - -/* PyObjectCallNoArg.proto (used by PyObjectCallMethod0) */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); - -/* PyObjectGetMethod.proto (used by PyObjectCallMethod0) */ -#if !(CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000))) -static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method); -#endif - -/* PyObjectCallMethod0.proto (used by PyType_Ready) */ -static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name); - -/* ValidateBasesTuple.proto (used by PyType_Ready) */ -#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS -static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases); -#endif - -/* PyType_Ready.proto */ -CYTHON_UNUSED static int __Pyx_PyType_Ready(PyTypeObject *t); - -/* SetVTable.proto */ -static int __Pyx_SetVtable(PyTypeObject* typeptr , void* vtable); - -/* GetVTable.proto (used by MergeVTables) */ -static void* __Pyx_GetVtable(PyTypeObject *type); - -/* MergeVTables.proto */ -static int __Pyx_MergeVtables(PyTypeObject *type); - -/* DelItemOnTypeDict.proto (used by SetupReduce) */ -static int __Pyx__DelItemOnTypeDict(PyTypeObject *tp, PyObject *k); -#define __Pyx_DelItemOnTypeDict(tp, k) __Pyx__DelItemOnTypeDict((PyTypeObject*)tp, k) - -/* SetupReduce.proto */ -static int __Pyx_setup_reduce(PyObject* type_obj); - -/* ImportFrom.proto */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name); - -/* dict_setdefault.proto (used by FetchCommonType) */ -static CYTHON_INLINE PyObject *__Pyx_PyDict_SetDefault(PyObject *d, PyObject *key, PyObject *default_value); - -/* AddModuleRef.proto (used by FetchSharedCythonModule) */ -#if ((CYTHON_COMPILING_IN_CPYTHON_FREETHREADING ) ||\ - __PYX_LIMITED_VERSION_HEX < 0x030d0000) - static PyObject *__Pyx_PyImport_AddModuleRef(const char *name); -#else - #define __Pyx_PyImport_AddModuleRef(name) PyImport_AddModuleRef(name) -#endif - -/* FetchSharedCythonModule.proto (used by FetchCommonType) */ -static PyObject *__Pyx_FetchSharedCythonABIModule(void); - -/* FetchCommonType.proto (used by CommonTypesMetaclass) */ -static PyTypeObject* __Pyx_FetchCommonTypeFromSpec(PyTypeObject *metaclass, PyObject *module, PyType_Spec *spec, PyObject *bases); - -/* CommonTypesMetaclass.proto (used by CythonFunctionShared) */ -static int __pyx_CommonTypesMetaclass_init(PyObject *module); -#define __Pyx_CommonTypesMetaclass_USED - -/* PyMethodNew.proto (used by CythonFunctionShared) */ -static PyObject *__Pyx_PyMethod_New(PyObject *func, PyObject *self, PyObject *typ); - -/* PyVectorcallFastCallDict.proto (used by CythonFunctionShared) */ -#if CYTHON_METH_FASTCALL && CYTHON_VECTORCALL -static CYTHON_INLINE PyObject *__Pyx_PyVectorcall_FastCallDict(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw); -#endif - -/* CythonFunctionShared.proto (used by CythonFunction) */ -#define __Pyx_CyFunction_USED -#define __Pyx_CYFUNCTION_STATICMETHOD 0x01 -#define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 -#define __Pyx_CYFUNCTION_CCLASS 0x04 -#define __Pyx_CYFUNCTION_COROUTINE 0x08 -#define __Pyx_CyFunction_GetClosure(f)\ - (((__pyx_CyFunctionObject *) (f))->func_closure) -#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - #define __Pyx_CyFunction_GetClassObj(f)\ - (((__pyx_CyFunctionObject *) (f))->func_classobj) -#else - #define __Pyx_CyFunction_GetClassObj(f)\ - ((PyObject*) ((PyCMethodObject *) (f))->mm_class) -#endif -#define __Pyx_CyFunction_SetClassObj(f, classobj)\ - __Pyx__CyFunction_SetClassObj((__pyx_CyFunctionObject *) (f), (classobj)) -#define __Pyx_CyFunction_Defaults(type, f)\ - ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) -#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ - ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) -typedef struct { -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject_HEAD - PyObject *func; -#elif PY_VERSION_HEX < 0x030900B1 - PyCFunctionObject func; -#else - PyCMethodObject func; -#endif -#if CYTHON_COMPILING_IN_LIMITED_API && CYTHON_METH_FASTCALL - __pyx_vectorcallfunc func_vectorcall; -#endif -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *func_weakreflist; -#endif -#if PY_VERSION_HEX < 0x030C0000 || CYTHON_COMPILING_IN_LIMITED_API - PyObject *func_dict; -#endif - PyObject *func_name; - PyObject *func_qualname; - PyObject *func_doc; - PyObject *func_globals; - PyObject *func_code; - PyObject *func_closure; -#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - PyObject *func_classobj; -#endif - PyObject *defaults; - int flags; - PyObject *defaults_tuple; - PyObject *defaults_kwdict; - PyObject *(*defaults_getter)(PyObject *); - PyObject *func_annotations; - PyObject *func_is_coroutine; -} __pyx_CyFunctionObject; -#undef __Pyx_CyOrPyCFunction_Check -#define __Pyx_CyFunction_Check(obj) __Pyx_TypeCheck(obj, __pyx_mstate_global->__pyx_CyFunctionType) -#define __Pyx_CyOrPyCFunction_Check(obj) __Pyx_TypeCheck2(obj, __pyx_mstate_global->__pyx_CyFunctionType, &PyCFunction_Type) -#define __Pyx_CyFunction_CheckExact(obj) __Pyx_IS_TYPE(obj, __pyx_mstate_global->__pyx_CyFunctionType) -static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void (*cfunc)(void)); -#undef __Pyx_IsSameCFunction -#define __Pyx_IsSameCFunction(func, cfunc) __Pyx__IsSameCyOrCFunction(func, cfunc) -static PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject* op, PyMethodDef *ml, - int flags, PyObject* qualname, - PyObject *closure, - PyObject *module, PyObject *globals, - PyObject* code); -static CYTHON_INLINE void __Pyx__CyFunction_SetClassObj(__pyx_CyFunctionObject* f, PyObject* classobj); -static CYTHON_INLINE PyObject *__Pyx_CyFunction_InitDefaults(PyObject *func, - PyTypeObject *defaults_type); -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, - PyObject *tuple); -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, - PyObject *dict); -static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, - PyObject *dict); -static int __pyx_CyFunction_init(PyObject *module); -#if CYTHON_METH_FASTCALL -static PyObject * __Pyx_CyFunction_Vectorcall_NOARGS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_O(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS_METHOD(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -#if CYTHON_COMPILING_IN_LIMITED_API -#define __Pyx_CyFunction_func_vectorcall(f) (((__pyx_CyFunctionObject*)f)->func_vectorcall) -#else -#define __Pyx_CyFunction_func_vectorcall(f) (((PyCFunctionObject*)f)->vectorcall) -#endif -#endif - -/* CythonFunction.proto */ -static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, - int flags, PyObject* qualname, - PyObject *closure, - PyObject *module, PyObject *globals, - PyObject* code); - -/* CLineInTraceback.proto (used by AddTraceback) */ -#if CYTHON_CLINE_IN_TRACEBACK && CYTHON_CLINE_IN_TRACEBACK_RUNTIME -static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); -#else -#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) -#endif - -/* CodeObjectCache.proto (used by AddTraceback) */ -#if CYTHON_COMPILING_IN_LIMITED_API -typedef PyObject __Pyx_CachedCodeObjectType; -#else -typedef PyCodeObject __Pyx_CachedCodeObjectType; -#endif -typedef struct { - __Pyx_CachedCodeObjectType* code_object; - int code_line; -} __Pyx_CodeObjectCacheEntry; -struct __Pyx_CodeObjectCache { - int count; - int max_count; - __Pyx_CodeObjectCacheEntry* entries; - #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - __pyx_atomic_int_type accessor_count; - #endif -}; -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); -static __Pyx_CachedCodeObjectType *__pyx_find_code_object(int code_line); -static void __pyx_insert_code_object(int code_line, __Pyx_CachedCodeObjectType* code_object); - -/* AddTraceback.proto */ -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename); - -/* BufferStructDeclare.proto */ -typedef struct { - Py_ssize_t shape, strides, suboffsets; -} __Pyx_Buf_DimInfo; -typedef struct { - size_t refcount; - Py_buffer pybuffer; -} __Pyx_Buffer; -typedef struct { - __Pyx_Buffer *rcbuffer; - char *data; - __Pyx_Buf_DimInfo diminfo[8]; -} __Pyx_LocalBuf_ND; - -/* MemviewRefcount.proto */ -static CYTHON_INLINE int __pyx_add_acquisition_count_locked( - __pyx_atomic_int_type *acquisition_count, PyThread_type_lock lock); -static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( - __pyx_atomic_int_type *acquisition_count, PyThread_type_lock lock); -#define __pyx_get_slice_count_pointer(memview) (&memview->acquisition_count) -#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) -#define __PYX_XCLEAR_MEMVIEW(slice, have_gil) __Pyx_XCLEAR_MEMVIEW(slice, have_gil, __LINE__) -static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); -static CYTHON_INLINE void __Pyx_XCLEAR_MEMVIEW(__Pyx_memviewslice *, int, int); - -/* MemviewSliceIsContig.proto */ -static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim); - -/* OverlappingSlices.proto */ -static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, - __Pyx_memviewslice *slice2, - int ndim, size_t itemsize); - -/* MemviewSliceInit.proto */ -static int __Pyx_init_memviewslice( - struct __pyx_memoryview_obj *memview, - int ndim, - __Pyx_memviewslice *memviewslice, - int memview_is_new_reference); - -/* IsLittleEndian.proto (used by BufferFormatCheck) */ -static CYTHON_INLINE int __Pyx_Is_Little_Endian(void); - -/* BufferFormatCheck.proto (used by MemviewSliceValidateAndInit) */ -static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts); -static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, - __Pyx_BufFmt_StackElem* stack, - const __Pyx_TypeInfo* type); - -/* TypeInfoCompare.proto (used by MemviewSliceValidateAndInit) */ -static int __pyx_typeinfo_cmp(const __Pyx_TypeInfo *a, const __Pyx_TypeInfo *b); - -/* MemviewSliceValidateAndInit.export */ -static int __Pyx_ValidateAndInit_memviewslice( - int *axes_specs, - int c_or_f_flag, - int buf_flags, - int ndim, - const __Pyx_TypeInfo *dtype, - __Pyx_BufFmt_StackElem stack[], - __Pyx_memviewslice *memviewslice, - PyObject *original_obj); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *, int writable_flag); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_size_t(PyObject *, int writable_flag); - -/* MemviewDtypeToObject.proto */ -static CYTHON_INLINE PyObject *__pyx_memview_get_double(const char *itemp); -static CYTHON_INLINE int __pyx_memview_set_double(char *itemp, PyObject *obj); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *, int writable_flag); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *, int writable_flag); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(PyObject *, int writable_flag); - -/* MemviewSliceCopy.proto */ -static __Pyx_memviewslice -__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, - const char *mode, int ndim, - size_t sizeof_dtype, int contig_flag, - int dtype_is_object); - -/* CIntFromPy.proto */ -static CYTHON_INLINE int __Pyx_PyLong_As_int(PyObject *); - -/* CIntFromPy.proto */ -static CYTHON_INLINE size_t __Pyx_PyLong_As_size_t(PyObject *); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_int(int value); - -/* PyObjectCall2Args.proto (used by PyObjectCallMethod1) */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); - -/* PyObjectCallMethod1.proto (used by UpdateUnpickledDict) */ -static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg); - -/* UpdateUnpickledDict.proto */ -static int __Pyx_UpdateUnpickledDict(PyObject *obj, PyObject *state, Py_ssize_t index); - -/* CheckUnpickleChecksum.proto */ -static CYTHON_INLINE int __Pyx_CheckUnpickleChecksum(long checksum, long checksum1, long checksum2, long checksum3, const char *members); - -/* CIntFromPy.proto */ -static CYTHON_INLINE long __Pyx_PyLong_As_long(PyObject *); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_long(long value); - -/* CIntFromPy.proto */ -static CYTHON_INLINE char __Pyx_PyLong_As_char(PyObject *); - -/* FormatTypeName.proto */ -#if CYTHON_COMPILING_IN_LIMITED_API -typedef PyObject *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%U" -#define __Pyx_DECREF_TypeName(obj) Py_XDECREF(obj) -#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 -#define __Pyx_PyType_GetFullyQualifiedName PyType_GetFullyQualifiedName -#else -static __Pyx_TypeName __Pyx_PyType_GetFullyQualifiedName(PyTypeObject* tp); -#endif -#else // !LIMITED_API -typedef const char *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%.200s" -#define __Pyx_PyType_GetFullyQualifiedName(tp) ((tp)->tp_name) -#define __Pyx_DECREF_TypeName(obj) -#endif - -/* GetRuntimeVersion.proto */ -#if __PYX_LIMITED_VERSION_HEX < 0x030b0000 -static unsigned long __Pyx_cached_runtime_version = 0; -static void __Pyx_init_runtime_version(void); -#else -#define __Pyx_init_runtime_version() -#endif -static unsigned long __Pyx_get_runtime_version(void); - -/* CheckBinaryVersion.proto */ -static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer); - -/* DecompressString.proto */ -static PyObject *__Pyx_DecompressString(const char *s, Py_ssize_t length, int algo); - -/* MultiPhaseInitModuleState.proto */ -#if CYTHON_PEP489_MULTI_PHASE_INIT && CYTHON_USE_MODULE_STATE -static PyObject *__Pyx_State_FindModule(void*); -static int __Pyx_State_AddModule(PyObject* module, void*); -static int __Pyx_State_RemoveModule(void*); -#elif CYTHON_USE_MODULE_STATE -#define __Pyx_State_FindModule PyState_FindModule -#define __Pyx_State_AddModule PyState_AddModule -#define __Pyx_State_RemoveModule PyState_RemoveModule -#endif - -/* #### Code section: module_declarations ### */ -/* CythonABIVersion.proto */ -#if CYTHON_COMPILING_IN_LIMITED_API - #if CYTHON_METH_FASTCALL - #define __PYX_FASTCALL_ABI_SUFFIX "_fastcall" - #else - #define __PYX_FASTCALL_ABI_SUFFIX - #endif - #define __PYX_LIMITED_ABI_SUFFIX "limited" __PYX_FASTCALL_ABI_SUFFIX __PYX_AM_SEND_ABI_SUFFIX -#else - #define __PYX_LIMITED_ABI_SUFFIX -#endif -#if __PYX_HAS_PY_AM_SEND == 1 - #define __PYX_AM_SEND_ABI_SUFFIX -#elif __PYX_HAS_PY_AM_SEND == 2 - #define __PYX_AM_SEND_ABI_SUFFIX "amsendbackport" -#else - #define __PYX_AM_SEND_ABI_SUFFIX "noamsend" -#endif -#ifndef __PYX_MONITORING_ABI_SUFFIX - #define __PYX_MONITORING_ABI_SUFFIX -#endif -#if CYTHON_USE_TP_FINALIZE - #define __PYX_TP_FINALIZE_ABI_SUFFIX -#else - #define __PYX_TP_FINALIZE_ABI_SUFFIX "nofinalize" -#endif -#if CYTHON_USE_FREELISTS || !defined(__Pyx_AsyncGen_USED) - #define __PYX_FREELISTS_ABI_SUFFIX -#else - #define __PYX_FREELISTS_ABI_SUFFIX "nofreelists" -#endif -#define CYTHON_ABI __PYX_ABI_VERSION __PYX_LIMITED_ABI_SUFFIX __PYX_MONITORING_ABI_SUFFIX __PYX_TP_FINALIZE_ABI_SUFFIX __PYX_FREELISTS_ABI_SUFFIX __PYX_AM_SEND_ABI_SUFFIX -#define __PYX_ABI_MODULE_NAME "_cython_" CYTHON_ABI -#define __PYX_TYPE_MODULE_PREFIX __PYX_ABI_MODULE_NAME "." - -static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/ -static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/ -static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/ -static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/ -static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ -static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryview__get_base(struct __pyx_memoryview_obj *__pyx_v_self); /* proto*/ -static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/ -static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/ -static PyObject *__pyx_memoryviewslice__get_base(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto*/ - -/* Module declarations from "cython.view" */ - -/* Module declarations from "cython.dataclasses" */ - -/* Module declarations from "cython" */ - -/* Module declarations from "libc.math" */ - -/* Module declarations from "pyvale.sensorsim.cython.rastercyth" */ -static PyObject *__pyx_collections_abc_Sequence = 0; -static PyObject *generic = 0; -static PyObject *strided = 0; -static PyObject *indirect = 0; -static PyObject *contiguous = 0; -static PyObject *indirect_contiguous = 0; -static int __pyx_memoryview_thread_locks_used; -static PyThread_type_lock __pyx_memoryview_thread_locks[8]; -static CYTHON_INLINE size_t __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_range_len_double(double, double, double); /*proto*/ -static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_max_double(__Pyx_memviewslice); /*proto*/ -static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_min_double(__Pyx_memviewslice); /*proto*/ -static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_dot_double(__Pyx_memviewslice, __Pyx_memviewslice); /*proto*/ -static CYTHON_INLINE int __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_min(double); /*proto*/ -static CYTHON_INLINE int __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_max(double, int); /*proto*/ -static CYTHON_INLINE __Pyx_memviewslice __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_mult_mat44_by_vec3(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice); /*proto*/ -static __Pyx_memviewslice __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_world_to_raster_coords(__Pyx_memviewslice, __Pyx_memviewslice, double, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice); /*proto*/ -static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice); /*proto*/ -static __Pyx_memviewslice __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_average_image(__Pyx_memviewslice, int, int __pyx_skip_dispatch); /*proto*/ -static int __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth__average_image(__Pyx_memviewslice, int, __Pyx_memviewslice); /*proto*/ -static PyObject *__pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_raster_static_frame(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, PyObject *, int __pyx_skip_dispatch); /*proto*/ -static PyObject *__pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_raster_deform_frame(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, PyObject *, __Pyx_memviewslice, int __pyx_skip_dispatch); /*proto*/ -static size_t __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth__raster_frame(__Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, double, int, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice); /*proto*/ -static int __pyx_array_allocate_buffer(struct __pyx_array_obj *); /*proto*/ -static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char const *, char *); /*proto*/ -static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo const *); /*proto*/ -static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ -static PyObject *_unellipsify(PyObject *, int); /*proto*/ -static int assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ -static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ -static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ -static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/ -static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ -static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ -static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ -static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ -static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ -static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ -static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ -static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ -static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ -static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ -static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ -static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ -static int __pyx_memoryview_err_dim(PyObject *, PyObject *, int); /*proto*/ -static int __pyx_memoryview_err(PyObject *, PyObject *); /*proto*/ -static int __pyx_memoryview_err_no_memory(void); /*proto*/ -static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ -static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ -static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ -static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ -static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ -static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ -static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ -static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/ -/* #### Code section: typeinfo ### */ -static const __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 }; -static const __Pyx_TypeInfo __Pyx_TypeInfo_size_t = { "size_t", NULL, sizeof(size_t), { 0 }, 0, __PYX_IS_UNSIGNED(size_t) ? 'U' : 'I', __PYX_IS_UNSIGNED(size_t), 0 }; -static const __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, __PYX_IS_UNSIGNED(int) ? 'U' : 'I', __PYX_IS_UNSIGNED(int), 0 }; -/* #### Code section: before_global_var ### */ -#define __Pyx_MODULE_NAME "pyvale.sensorsim.cython.rastercyth" -extern int __pyx_module_is_main_pyvale__sensorsim__cython__rastercyth; -int __pyx_module_is_main_pyvale__sensorsim__cython__rastercyth = 0; - -/* Implementation of "pyvale.sensorsim.cython.rastercyth" */ -/* #### Code section: global_var ### */ -static PyObject *__pyx_builtin___import__; -static PyObject *__pyx_builtin_enumerate; -static PyObject *__pyx_builtin_Ellipsis; -static PyObject *__pyx_builtin_id; -/* #### Code section: string_decls ### */ -static const char __pyx_k_NOTE_this_module_is_a_feature_u[] = "\nNOTE: this module is a feature under developement.\n"; -/* #### Code section: decls ### */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ -static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */ -static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ -static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ -static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct 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__pyx_kp_u_Cannot_assign_to_read_only_memor __pyx_string_tab[4] -#define __pyx_kp_u_Cannot_create_writable_memory_vi __pyx_string_tab[5] -#define __pyx_kp_u_Cannot_index_with_type __pyx_string_tab[6] -#define __pyx_kp_u_Cannot_transpose_memoryview_with __pyx_string_tab[7] -#define __pyx_kp_u_Dimension_d_is_not_direct __pyx_string_tab[8] -#define __pyx_kp_u_Empty_shape_tuple_for_cython_arr __pyx_string_tab[9] -#define __pyx_kp_u_Index_out_of_bounds_axis_d __pyx_string_tab[10] -#define __pyx_kp_u_Indirect_dimensions_not_supporte __pyx_string_tab[11] -#define __pyx_kp_u_Invalid_mode_expected_c_or_fortr __pyx_string_tab[12] -#define __pyx_kp_u_Invalid_shape_in_axis __pyx_string_tab[13] -#define __pyx_kp_u_MemoryView_of __pyx_string_tab[14] -#define __pyx_kp_u_Note_that_Cython_is_deliberately __pyx_string_tab[15] -#define __pyx_kp_u_Out_of_bounds_on_buffer_access_a __pyx_string_tab[16] -#define __pyx_kp_u_Step_may_not_be_zero_axis_d __pyx_string_tab[17] -#define __pyx_kp_u_Unable_to_convert_item_to_object __pyx_string_tab[18] -#define __pyx_kp_u__2 __pyx_string_tab[19] -#define __pyx_kp_u__3 __pyx_string_tab[20] -#define __pyx_kp_u__4 __pyx_string_tab[21] -#define __pyx_kp_u__5 __pyx_string_tab[22] -#define __pyx_kp_u__6 __pyx_string_tab[23] -#define __pyx_kp_u_add_note __pyx_string_tab[24] -#define __pyx_kp_u_and __pyx_string_tab[25] -#define __pyx_kp_u_at_0x __pyx_string_tab[26] -#define __pyx_kp_u_collections_abc __pyx_string_tab[27] -#define __pyx_kp_u_contiguous_and_direct __pyx_string_tab[28] -#define __pyx_kp_u_contiguous_and_indirect __pyx_string_tab[29] -#define __pyx_kp_u_cython_double __pyx_string_tab[30] -#define __pyx_kp_u_cython_int __pyx_string_tab[31] -#define __pyx_kp_u_cython_size_t __pyx_string_tab[32] -#define __pyx_kp_u_disable __pyx_string_tab[33] -#define __pyx_kp_u_enable __pyx_string_tab[34] -#define __pyx_kp_u_gc __pyx_string_tab[35] -#define __pyx_kp_u_got __pyx_string_tab[36] -#define __pyx_kp_u_got_differing_extents_in_dimensi __pyx_string_tab[37] -#define __pyx_kp_u_isenabled __pyx_string_tab[38] -#define __pyx_kp_u_itemsize_0_for_cython_array __pyx_string_tab[39] -#define __pyx_kp_u_no_default___reduce___due_to_non __pyx_string_tab[40] -#define __pyx_kp_u_object __pyx_string_tab[41] -#define __pyx_kp_u_self_name_is_not_None __pyx_string_tab[42] -#define __pyx_kp_u_src_pyvale_sensorsim_cython_rast __pyx_string_tab[43] -#define __pyx_kp_u_strided_and_direct __pyx_string_tab[44] -#define __pyx_kp_u_strided_and_direct_or_indirect __pyx_string_tab[45] -#define __pyx_kp_u_strided_and_indirect __pyx_string_tab[46] -#define __pyx_kp_u_unable_to_allocate_array_data __pyx_string_tab[47] -#define __pyx_kp_u_unable_to_allocate_shape_and_str __pyx_string_tab[48] -#define __pyx_n_u_ASCII __pyx_string_tab[49] -#define __pyx_n_u_CameraData __pyx_string_tab[50] -#define __pyx_n_u_Ellipsis __pyx_string_tab[51] -#define __pyx_n_u_Pyx_PyDict_NextRef __pyx_string_tab[52] -#define __pyx_n_u_Sequence __pyx_string_tab[53] -#define __pyx_n_u_View_MemoryView __pyx_string_tab[54] -#define __pyx_n_u_abc __pyx_string_tab[55] -#define __pyx_n_u_allocate_buffer __pyx_string_tab[56] -#define __pyx_n_u_asarray __pyx_string_tab[57] -#define __pyx_n_u_asyncio_coroutines __pyx_string_tab[58] -#define __pyx_n_u_average_image __pyx_string_tab[59] -#define __pyx_n_u_base __pyx_string_tab[60] -#define __pyx_n_u_c __pyx_string_tab[61] -#define __pyx_n_u_cam_data __pyx_string_tab[62] -#define __pyx_n_u_class __pyx_string_tab[63] -#define __pyx_n_u_class_getitem __pyx_string_tab[64] -#define __pyx_n_u_cline_in_traceback __pyx_string_tab[65] -#define __pyx_n_u_connect __pyx_string_tab[66] -#define __pyx_n_u_coords __pyx_string_tab[67] -#define __pyx_n_u_count __pyx_string_tab[68] -#define __pyx_n_u_dict __pyx_string_tab[69] -#define __pyx_n_u_dtype __pyx_string_tab[70] -#define __pyx_n_u_dtype_is_object __pyx_string_tab[71] -#define __pyx_n_u_empty __pyx_string_tab[72] -#define __pyx_n_u_encode __pyx_string_tab[73] -#define __pyx_n_u_enumerate __pyx_string_tab[74] -#define __pyx_n_u_error __pyx_string_tab[75] -#define __pyx_n_u_field_disp __pyx_string_tab[76] -#define __pyx_n_u_fields_to_render __pyx_string_tab[77] -#define __pyx_n_u_flags __pyx_string_tab[78] -#define __pyx_n_u_float64 __pyx_string_tab[79] -#define __pyx_n_u_format __pyx_string_tab[80] -#define __pyx_n_u_fortran __pyx_string_tab[81] -#define __pyx_n_u_full __pyx_string_tab[82] -#define __pyx_n_u_func __pyx_string_tab[83] -#define __pyx_n_u_getstate __pyx_string_tab[84] -#define __pyx_n_u_id __pyx_string_tab[85] -#define __pyx_n_u_image_dims __pyx_string_tab[86] -#define __pyx_n_u_image_dist __pyx_string_tab[87] -#define __pyx_n_u_image_subpx __pyx_string_tab[88] -#define __pyx_n_u_import __pyx_string_tab[89] -#define __pyx_n_u_index __pyx_string_tab[90] -#define __pyx_n_u_is_coroutine __pyx_string_tab[91] -#define __pyx_n_u_items __pyx_string_tab[92] -#define __pyx_n_u_itemsize __pyx_string_tab[93] -#define __pyx_n_u_main __pyx_string_tab[94] -#define __pyx_n_u_memview __pyx_string_tab[95] -#define __pyx_n_u_mode __pyx_string_tab[96] -#define __pyx_n_u_module __pyx_string_tab[97] -#define __pyx_n_u_name __pyx_string_tab[98] -#define __pyx_n_u_name_2 __pyx_string_tab[99] -#define __pyx_n_u_ndim __pyx_string_tab[100] -#define __pyx_n_u_new __pyx_string_tab[101] -#define __pyx_n_u_np __pyx_string_tab[102] -#define __pyx_n_u_numpy __pyx_string_tab[103] -#define __pyx_n_u_obj __pyx_string_tab[104] -#define __pyx_n_u_pack __pyx_string_tab[105] -#define __pyx_n_u_pixels_num __pyx_string_tab[106] -#define __pyx_n_u_pop __pyx_string_tab[107] -#define __pyx_n_u_pyvale_sensorsim_cameradata __pyx_string_tab[108] -#define __pyx_n_u_pyvale_sensorsim_cython_rastercy __pyx_string_tab[109] -#define __pyx_n_u_pyx_checksum __pyx_string_tab[110] -#define __pyx_n_u_pyx_state __pyx_string_tab[111] -#define __pyx_n_u_pyx_type __pyx_string_tab[112] -#define __pyx_n_u_pyx_unpickle_Enum __pyx_string_tab[113] -#define __pyx_n_u_pyx_vtable __pyx_string_tab[114] -#define __pyx_n_u_qualname __pyx_string_tab[115] -#define __pyx_n_u_raster_deform_frame __pyx_string_tab[116] -#define __pyx_n_u_raster_static_frame __pyx_string_tab[117] -#define __pyx_n_u_reduce __pyx_string_tab[118] -#define __pyx_n_u_reduce_cython __pyx_string_tab[119] -#define __pyx_n_u_reduce_ex __pyx_string_tab[120] -#define __pyx_n_u_register __pyx_string_tab[121] -#define __pyx_n_u_set_name __pyx_string_tab[122] -#define __pyx_n_u_setdefault __pyx_string_tab[123] -#define __pyx_n_u_setstate __pyx_string_tab[124] -#define __pyx_n_u_setstate_cython __pyx_string_tab[125] -#define __pyx_n_u_shape __pyx_string_tab[126] -#define __pyx_n_u_size __pyx_string_tab[127] -#define __pyx_n_u_start __pyx_string_tab[128] -#define __pyx_n_u_step __pyx_string_tab[129] -#define __pyx_n_u_stop __pyx_string_tab[130] -#define __pyx_n_u_struct __pyx_string_tab[131] -#define __pyx_n_u_sub_samp __pyx_string_tab[132] -#define __pyx_n_u_test __pyx_string_tab[133] -#define __pyx_n_u_unpack __pyx_string_tab[134] -#define __pyx_n_u_update __pyx_string_tab[135] -#define __pyx_n_u_values __pyx_string_tab[136] -#define __pyx_n_u_world_to_cam_mat __pyx_string_tab[137] -#define __pyx_n_u_x __pyx_string_tab[138] -#define __pyx_n_u_zeros __pyx_string_tab[139] -#define __pyx_kp_b_iso88591_81_81_81_G6_0_aq_Jar_Jar_r_1Cz __pyx_string_tab[140] -#define __pyx_kp_b_iso88591__7 __pyx_string_tab[141] -#define __pyx_kp_b_iso88591_y_1_r_Q_c_a_1A_c_a_1A_r_D_b_F_1 __pyx_string_tab[142] -#define __pyx_n_b_O __pyx_string_tab[143] -#define __pyx_float_0_0 __pyx_number_tab[0] -#define __pyx_float_1_0e6 __pyx_number_tab[1] -#define __pyx_int_0 __pyx_number_tab[2] -#define __pyx_int_neg_1 __pyx_number_tab[3] -#define __pyx_int_1 __pyx_number_tab[4] -#define __pyx_int_2 __pyx_number_tab[5] -#define __pyx_int_4 __pyx_number_tab[6] -#define __pyx_int_136983863 __pyx_number_tab[7] -/* #### Code section: 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if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 819, __pyx_L1_error) - - /* "View.MemoryView":818 - * if start < 0: - * start += shape - * if not 0 <= start < shape: # <<<<<<<<<<<<<< - * _err_dim(PyExc_IndexError, "Index out of bounds (axis %d)", dim) - * else: -*/ - } - - /* "View.MemoryView":814 - * cdef bint negative_step - * - * if not is_slice: # <<<<<<<<<<<<<< - * - * if start < 0: -*/ - goto __pyx_L3; - } - - /* "View.MemoryView":822 - * else: - * - * if have_step: # <<<<<<<<<<<<<< - * negative_step = step < 0 - * if step == 0: -*/ - /*else*/ { - __pyx_t_2 = (__pyx_v_have_step != 0); - if (__pyx_t_2) { - - /* "View.MemoryView":823 - * - * if have_step: - * negative_step = step < 0 # <<<<<<<<<<<<<< - * if step == 0: - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) -*/ - __pyx_v_negative_step = (__pyx_v_step < 0); - - /* "View.MemoryView":824 - * if have_step: - * negative_step = step < 0 - * if step == 0: # <<<<<<<<<<<<<< - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) - * else: -*/ - __pyx_t_2 = (__pyx_v_step == 0); - if (__pyx_t_2) { - - /* "View.MemoryView":825 - * negative_step = step < 0 - * if step == 0: - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< - * else: - * negative_step = False -*/ - __pyx_t_3 = __pyx_memoryview_err_dim(PyExc_ValueError, __pyx_mstate_global->__pyx_kp_u_Step_may_not_be_zero_axis_d, __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 825, __pyx_L1_error) - - /* "View.MemoryView":824 - * if have_step: - * negative_step = step < 0 - * if step == 0: # <<<<<<<<<<<<<< - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) - * else: -*/ - } - - /* "View.MemoryView":822 - * else: - * - * if have_step: # <<<<<<<<<<<<<< - * negative_step = step < 0 - * if step == 0: -*/ - goto __pyx_L6; - } - - /* "View.MemoryView":827 - * _err_dim(PyExc_ValueError, "Step may not be zero (axis %d)", dim) - * else: - * negative_step = False # <<<<<<<<<<<<<< - * step = 1 - * -*/ - /*else*/ { - __pyx_v_negative_step = 0; - - /* "View.MemoryView":828 - * else: - * negative_step = False - * step = 1 # <<<<<<<<<<<<<< - * - * -*/ - __pyx_v_step = 1; 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- } - - /* "View.MemoryView":836 - * if start < 0: - * start = 0 - * elif start >= shape: # <<<<<<<<<<<<<< - * if negative_step: - * start = shape - 1 -*/ - __pyx_t_2 = (__pyx_v_start >= __pyx_v_shape); - if (__pyx_t_2) { - - /* "View.MemoryView":837 - * start = 0 - * elif start >= shape: - * if negative_step: # <<<<<<<<<<<<<< - * start = shape - 1 - * else: -*/ - if (__pyx_v_negative_step) { - - /* "View.MemoryView":838 - * elif start >= shape: - * if negative_step: - * start = shape - 1 # <<<<<<<<<<<<<< - * else: - * start = shape -*/ - __pyx_v_start = (__pyx_v_shape - 1); - - /* "View.MemoryView":837 - * start = 0 - * elif start >= shape: - * if negative_step: # <<<<<<<<<<<<<< - * start = shape - 1 - * else: -*/ - goto __pyx_L11; - } - - /* "View.MemoryView":840 - * start = shape - 1 - * else: - * start = shape # <<<<<<<<<<<<<< - * else: - * if negative_step: -*/ - /*else*/ { - __pyx_v_start = __pyx_v_shape; - } - __pyx_L11:; - - /* "View.MemoryView":836 - * if start < 0: - * start = 0 - * elif start >= shape: # <<<<<<<<<<<<<< - * if negative_step: - * start = shape - 1 -*/ - } - __pyx_L9:; 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- if (__pyx_t_2) { - - /* "View.MemoryView":849 - * if have_stop: - * if stop < 0: - * stop += shape # <<<<<<<<<<<<<< - * if stop < 0: - * stop = 0 -*/ - __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); - - /* "View.MemoryView":850 - * if stop < 0: - * stop += shape - * if stop < 0: # <<<<<<<<<<<<<< - * stop = 0 - * elif stop > shape: -*/ - __pyx_t_2 = (__pyx_v_stop < 0); - if (__pyx_t_2) { - - /* "View.MemoryView":851 - * stop += shape - * if stop < 0: - * stop = 0 # <<<<<<<<<<<<<< - * elif stop > shape: - * stop = shape -*/ - __pyx_v_stop = 0; - - /* "View.MemoryView":850 - * if stop < 0: - * stop += shape - * if stop < 0: # <<<<<<<<<<<<<< - * stop = 0 - * elif stop > shape: -*/ - } - - /* "View.MemoryView":848 - * - * if have_stop: - * if stop < 0: # <<<<<<<<<<<<<< - * stop += shape - * if stop < 0: -*/ - goto __pyx_L14; - } - - /* "View.MemoryView":852 - * if stop < 0: - * stop = 0 - * elif stop > shape: # <<<<<<<<<<<<<< - * stop = shape - * else: -*/ - __pyx_t_2 = (__pyx_v_stop > __pyx_v_shape); 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- } - if (__pyx_t_2) { - - /* "View.MemoryView":1327 - * - * - * transpose_memslice(&src) # <<<<<<<<<<<<<< - * transpose_memslice(&dst) - * -*/ - __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)-1))) __PYX_ERR(1, 1327, __pyx_L1_error) - - /* "View.MemoryView":1328 - * - * transpose_memslice(&src) - * transpose_memslice(&dst) # <<<<<<<<<<<<<< - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) -*/ - __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)-1))) __PYX_ERR(1, 1328, __pyx_L1_error) - - /* "View.MemoryView":1324 - * return 0 - * - * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< - * - * -*/ - } - - /* "View.MemoryView":1330 - * transpose_memslice(&dst) - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) # <<<<<<<<<<<<<< - * copy_strided_to_strided(&src, &dst, ndim, itemsize) - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) -*/ - __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - - /* "View.MemoryView":1331 - * - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * -*/ - copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); - - /* "View.MemoryView":1332 - * refcount_copying(&dst, dtype_is_object, ndim, inc=False) - * copy_strided_to_strided(&src, &dst, ndim, itemsize) - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) # <<<<<<<<<<<<<< - * - * free(tmpdata) -*/ - __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - - /* "View.MemoryView":1334 - * refcount_copying(&dst, dtype_is_object, ndim, inc=True) - * - * free(tmpdata) # <<<<<<<<<<<<<< - * return 0 - * -*/ - free(__pyx_v_tmpdata); - - /* "View.MemoryView":1335 - * - * free(tmpdata) - * return 0 # <<<<<<<<<<<<<< - * - * @cname('__pyx_memoryview_broadcast_leading') -*/ - __pyx_r = 0; - goto __pyx_L0; - - /* "View.MemoryView":1265 - * - * - * @cname('__pyx_memoryview_copy_contents') # <<<<<<<<<<<<<< - * cdef int memoryview_copy_contents(__Pyx_memviewslice src, - * __Pyx_memviewslice dst, -*/ - - /* function exit code */ - __pyx_L1_error:; - __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); - __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); - __pyx_r = -1; - __Pyx_PyGILState_Release(__pyx_gilstate_save); - __pyx_L0:; - return __pyx_r; -} - -/* "View.MemoryView":1337 - * return 0 - * - * @cname('__pyx_memoryview_broadcast_leading') # <<<<<<<<<<<<<< - * cdef void broadcast_leading(__Pyx_memviewslice *mslice, - * int ndim, -*/ - -static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) { - int __pyx_v_i; - int __pyx_v_offset; - int __pyx_t_1; - int __pyx_t_2; - int __pyx_t_3; - - /* "View.MemoryView":1342 - * int ndim_other) noexcept nogil: - * cdef int i - * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< - * - * for i in range(ndim - 1, -1, -1): -*/ - __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); - - /* "View.MemoryView":1344 - * cdef int offset = ndim_other - ndim - * - * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< - * mslice.shape[i + offset] = mslice.shape[i] - * mslice.strides[i + offset] = mslice.strides[i] -*/ - for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { - __pyx_v_i = __pyx_t_1; - - /* "View.MemoryView":1345 - * - * for i in range(ndim - 1, -1, -1): - * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< - * mslice.strides[i + offset] = mslice.strides[i] - * mslice.suboffsets[i + offset] = mslice.suboffsets[i] -*/ - (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]); - - /* "View.MemoryView":1346 - * for i in range(ndim - 1, -1, -1): - * mslice.shape[i + offset] = mslice.shape[i] - * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< - * mslice.suboffsets[i + offset] = mslice.suboffsets[i] - * -*/ - (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); - - /* "View.MemoryView":1347 - * mslice.shape[i + offset] = mslice.shape[i] - * mslice.strides[i + offset] = mslice.strides[i] - * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< - * - * for i in range(offset): -*/ - (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); - } - - /* "View.MemoryView":1349 - * mslice.suboffsets[i + offset] = mslice.suboffsets[i] - * - * for i in range(offset): # <<<<<<<<<<<<<< - * mslice.shape[i] = 1 - * mslice.strides[i] = mslice.strides[0] -*/ - __pyx_t_1 = __pyx_v_offset; - __pyx_t_2 = __pyx_t_1; - for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { - __pyx_v_i = __pyx_t_3; - - /* "View.MemoryView":1350 - * - * for i in range(offset): - * mslice.shape[i] = 1 # <<<<<<<<<<<<<< - * mslice.strides[i] = mslice.strides[0] - * mslice.suboffsets[i] = -1 -*/ - (__pyx_v_mslice->shape[__pyx_v_i]) = 1; - - /* "View.MemoryView":1351 - * for i in range(offset): - * mslice.shape[i] = 1 - * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< - * mslice.suboffsets[i] = -1 - * -*/ - (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); - - /* "View.MemoryView":1352 - * mslice.shape[i] = 1 - * mslice.strides[i] = mslice.strides[0] - * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< - * - * -*/ - (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; - } - - /* "View.MemoryView":1337 - * return 0 - * - * @cname('__pyx_memoryview_broadcast_leading') # <<<<<<<<<<<<<< - * cdef void broadcast_leading(__Pyx_memviewslice *mslice, - * int ndim, -*/ - - /* function exit code */ -} - -/* "View.MemoryView":1359 - * - * - * @cname('__pyx_memoryview_refcount_copying') # <<<<<<<<<<<<<< - * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: - * -*/ - -static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { - - /* "View.MemoryView":1362 - * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: - * - * if dtype_is_object: # <<<<<<<<<<<<<< - * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) - * -*/ - if (__pyx_v_dtype_is_object) { - - /* "View.MemoryView":1363 - * - * if dtype_is_object: - * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) # <<<<<<<<<<<<<< - * - * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') -*/ - __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); - - /* "View.MemoryView":1362 - * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: - * - * if dtype_is_object: # <<<<<<<<<<<<<< - * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) - * -*/ - } - - /* "View.MemoryView":1359 - * - * - * @cname('__pyx_memoryview_refcount_copying') # <<<<<<<<<<<<<< - * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, int ndim, bint inc) noexcept nogil: - * -*/ - - /* function exit code */ -} - -/* "View.MemoryView":1365 - * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) - * - * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') # <<<<<<<<<<<<<< - * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, - * Py_ssize_t *strides, int ndim, -*/ - -static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { - PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); - - /* "View.MemoryView":1369 - * Py_ssize_t *strides, int ndim, - * bint inc) noexcept with gil: - * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< - * - * @cname('__pyx_memoryview_refcount_objects_in_slice') -*/ - __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); - - /* "View.MemoryView":1365 - * refcount_objects_in_slice_with_gil(dst.data, dst.shape, dst.strides, ndim, inc) - * - * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') # <<<<<<<<<<<<<< - * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, - * Py_ssize_t *strides, int ndim, -*/ - - /* function exit code */ - __Pyx_PyGILState_Release(__pyx_gilstate_save); -} - -/* "View.MemoryView":1371 - * refcount_objects_in_slice(data, shape, strides, ndim, inc) - * - * @cname('__pyx_memoryview_refcount_objects_in_slice') # <<<<<<<<<<<<<< - * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, - * Py_ssize_t *strides, int ndim, bint inc) noexcept: -*/ - -static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { - CYTHON_UNUSED Py_ssize_t __pyx_v_i; - Py_ssize_t __pyx_v_stride; - Py_ssize_t __pyx_t_1; - Py_ssize_t __pyx_t_2; - Py_ssize_t __pyx_t_3; - int __pyx_t_4; - - /* "View.MemoryView":1375 - * Py_ssize_t *strides, int ndim, bint inc) noexcept: - * cdef Py_ssize_t i - * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< - * - * for i in range(shape[0]): -*/ - __pyx_v_stride = (__pyx_v_strides[0]); - - /* "View.MemoryView":1377 - * cdef Py_ssize_t stride = strides[0] - * - * for i in range(shape[0]): # <<<<<<<<<<<<<< - * if ndim == 1: - * if inc: -*/ - __pyx_t_1 = (__pyx_v_shape[0]); - __pyx_t_2 = __pyx_t_1; - for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { - __pyx_v_i = __pyx_t_3; - - /* "View.MemoryView":1378 - * - * for i in range(shape[0]): - * if ndim == 1: # <<<<<<<<<<<<<< - * if inc: - * Py_INCREF(( data)[0]) -*/ - __pyx_t_4 = (__pyx_v_ndim == 1); - if (__pyx_t_4) { - - /* "View.MemoryView":1379 - * for i in range(shape[0]): - * if ndim == 1: - * if inc: # <<<<<<<<<<<<<< - * Py_INCREF(( data)[0]) - * else: -*/ - if (__pyx_v_inc) { - - /* "View.MemoryView":1380 - * if ndim == 1: - * if inc: - * Py_INCREF(( data)[0]) # <<<<<<<<<<<<<< - * else: - * Py_DECREF(( data)[0]) -*/ - Py_INCREF((((PyObject **)__pyx_v_data)[0])); - - /* "View.MemoryView":1379 - * for i in range(shape[0]): - * if ndim == 1: - * if inc: # <<<<<<<<<<<<<< - * Py_INCREF(( data)[0]) - * else: -*/ - goto __pyx_L6; - } - - /* "View.MemoryView":1382 - * Py_INCREF(( data)[0]) - * else: - * Py_DECREF(( data)[0]) # <<<<<<<<<<<<<< - * else: - * refcount_objects_in_slice(data, shape + 1, strides + 1, ndim - 1, inc) -*/ - /*else*/ { - Py_DECREF((((PyObject **)__pyx_v_data)[0])); - } - __pyx_L6:; - - /* "View.MemoryView":1378 - * - * for i in range(shape[0]): - * if ndim == 1: # <<<<<<<<<<<<<< - * if inc: - * Py_INCREF(( data)[0]) -*/ - goto __pyx_L5; - } - - /* "View.MemoryView":1384 - * Py_DECREF(( data)[0]) - * else: - * refcount_objects_in_slice(data, shape + 1, strides + 1, ndim - 1, inc) # <<<<<<<<<<<<<< - * - * data += stride -*/ - /*else*/ { - __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); - } - __pyx_L5:; - - /* "View.MemoryView":1386 - * refcount_objects_in_slice(data, shape + 1, strides + 1, ndim - 1, inc) - * - * data += stride # <<<<<<<<<<<<<< - * - * -*/ - __pyx_v_data = (__pyx_v_data + __pyx_v_stride); - } - - /* "View.MemoryView":1371 - * refcount_objects_in_slice(data, shape, strides, ndim, inc) - * - * @cname('__pyx_memoryview_refcount_objects_in_slice') # <<<<<<<<<<<<<< - * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, - * Py_ssize_t *strides, int ndim, bint inc) noexcept: -*/ - - /* function exit code */ -} - -/* "View.MemoryView":1391 - * - * - * @cname('__pyx_memoryview_slice_assign_scalar') # <<<<<<<<<<<<<< - * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, - * size_t itemsize, void *item, -*/ - -static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) { - - /* "View.MemoryView":1395 - * size_t itemsize, void *item, - * bint dtype_is_object) noexcept nogil: - * refcount_copying(dst, dtype_is_object, ndim, inc=False) # <<<<<<<<<<<<<< - * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, itemsize, item) - * refcount_copying(dst, dtype_is_object, ndim, inc=True) -*/ - __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - - /* "View.MemoryView":1396 - * bint dtype_is_object) noexcept nogil: - * refcount_copying(dst, dtype_is_object, ndim, inc=False) - * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, itemsize, item) # <<<<<<<<<<<<<< - * refcount_copying(dst, dtype_is_object, ndim, inc=True) - * -*/ - __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item); - - /* "View.MemoryView":1397 - * refcount_copying(dst, dtype_is_object, ndim, inc=False) - * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, itemsize, item) - * refcount_copying(dst, dtype_is_object, ndim, inc=True) # <<<<<<<<<<<<<< - * - * -*/ - __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - - /* "View.MemoryView":1391 - * - * - * @cname('__pyx_memoryview_slice_assign_scalar') # <<<<<<<<<<<<<< - * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, - * size_t itemsize, void *item, -*/ - - /* function exit code */ -} - -/* "View.MemoryView":1400 - * - * - * @cname('__pyx_memoryview__slice_assign_scalar') # <<<<<<<<<<<<<< - * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, - * Py_ssize_t *strides, int ndim, -*/ - -static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) { - CYTHON_UNUSED Py_ssize_t __pyx_v_i; 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- __pyx_t_3 = __pyx_t_2; - for (__pyx_t_4 = 1; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { - __pyx_v_ii = __pyx_t_4; - - /* "pyvale/sensorsim/cython/rastercyth.py":49 - * ii: cython.size_t - * for ii in range(1,num_vals): - * vec_buffer[ii] = vec_buffer[ii-1] + step # <<<<<<<<<<<<<< - * - * return vec_buffer[0:num_vals] -*/ - __pyx_t_5 = (__pyx_v_ii - 1); - __pyx_t_6 = __pyx_v_ii; - *((long *) ( /* dim=0 */ (__pyx_v_vec_buffer.data + __pyx_t_6 * __pyx_v_vec_buffer.strides[0]) )) = ((*((long *) ( /* dim=0 */ (__pyx_v_vec_buffer.data + __pyx_t_5 * __pyx_v_vec_buffer.strides[0]) ))) + __pyx_v_step); - } - - /* "pyvale/sensorsim/cython/rastercyth.py":51 - * vec_buffer[ii] = vec_buffer[ii-1] + step - * - * return vec_buffer[0:num_vals] # <<<<<<<<<<<<<< - * - * -*/ - __pyx_t_7.data = __pyx_v_vec_buffer.data; - __pyx_t_7.memview = __pyx_v_vec_buffer.memview; - __PYX_INC_MEMVIEW(&__pyx_t_7, 0); - __pyx_t_8 = -1; - if (unlikely(__pyx_memoryview_slice_memviewslice( - &__pyx_t_7, - __pyx_v_vec_buffer.shape[0], __pyx_v_vec_buffer.strides[0], __pyx_v_vec_buffer.suboffsets[0], - 0, - 0, - &__pyx_t_8, - 0, - __pyx_v_num_vals, - 0, - 1, - 1, - 0, - 1) < 0)) -{ - __PYX_ERR(0, 51, __pyx_L1_error) -} - -__pyx_r = __pyx_t_7; - __pyx_t_7.memview = NULL; - __pyx_t_7.data = NULL; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":32 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - - /* function exit code */ - __pyx_L1_error:; - __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_7, 1); - __pyx_r.data = NULL; - __pyx_r.memview = NULL; - __Pyx_AddTraceback("pyvale.sensorsim.cython.rastercyth.vec_range_int", __pyx_clineno, __pyx_lineno, __pyx_filename); - __Pyx_PyGILState_Release(__pyx_gilstate_save); - goto __pyx_L2; - __pyx_L0:; - if (unlikely(!__pyx_r.memview)) { - PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); - PyErr_SetString(PyExc_TypeError, "Memoryview return value is not initialized"); - __Pyx_PyGILState_Release(__pyx_gilstate_save); - } - __pyx_L2:; - return __pyx_r; -} - -/* "pyvale/sensorsim/cython/rastercyth.py":54 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - -static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_max_double(__Pyx_memviewslice __pyx_v_vals) { - size_t __pyx_v_num_vals; - size_t __pyx_v_ii; - double __pyx_v_max_val; - double __pyx_r; - size_t __pyx_t_1; - size_t __pyx_t_2; - size_t __pyx_t_3; - size_t __pyx_t_4; - int __pyx_t_5; - - /* "pyvale/sensorsim/cython/rastercyth.py":63 - * def vec_max_double(vals: cython.double[:]) -> cython.double: - * - * num_vals: cython.size_t = vals.shape[0] # <<<<<<<<<<<<<< - * - * ii: cython.size_t = 0 -*/ - __pyx_v_num_vals = (__pyx_v_vals.shape[0]); - - /* "pyvale/sensorsim/cython/rastercyth.py":65 - * num_vals: cython.size_t = vals.shape[0] - * - * ii: cython.size_t = 0 # <<<<<<<<<<<<<< - * max_val: cython.double = vals[ii] - * -*/ - __pyx_v_ii = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":66 - * - * ii: cython.size_t = 0 - * max_val: cython.double = vals[ii] # <<<<<<<<<<<<<< - * - * for ii in range(1,num_vals): -*/ - __pyx_t_1 = __pyx_v_ii; - __pyx_v_max_val = (*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_1 * __pyx_v_vals.strides[0]) ))); - - /* "pyvale/sensorsim/cython/rastercyth.py":68 - * max_val: cython.double = vals[ii] - * - * for ii in range(1,num_vals): # <<<<<<<<<<<<<< - * if vals[ii] > max_val: - * max_val = vals[ii] -*/ - __pyx_t_1 = __pyx_v_num_vals; - __pyx_t_2 = __pyx_t_1; - for (__pyx_t_3 = 1; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { - __pyx_v_ii = __pyx_t_3; - - /* "pyvale/sensorsim/cython/rastercyth.py":69 - * - * for ii in range(1,num_vals): - * if vals[ii] > max_val: # <<<<<<<<<<<<<< - * max_val = vals[ii] - * -*/ - __pyx_t_4 = __pyx_v_ii; - __pyx_t_5 = ((*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_4 * __pyx_v_vals.strides[0]) ))) > __pyx_v_max_val); - if (__pyx_t_5) { - - /* "pyvale/sensorsim/cython/rastercyth.py":70 - * for ii in range(1,num_vals): - * if vals[ii] > max_val: - * max_val = vals[ii] # <<<<<<<<<<<<<< - * - * return max_val -*/ - __pyx_t_4 = __pyx_v_ii; - __pyx_v_max_val = (*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_4 * __pyx_v_vals.strides[0]) ))); - - /* "pyvale/sensorsim/cython/rastercyth.py":69 - * - * for ii in range(1,num_vals): - * if vals[ii] > max_val: # <<<<<<<<<<<<<< - * max_val = vals[ii] - * -*/ - } - } - - /* "pyvale/sensorsim/cython/rastercyth.py":72 - * max_val = vals[ii] - * - * return max_val # <<<<<<<<<<<<<< - * - * -*/ - __pyx_r = __pyx_v_max_val; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":54 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} - -/* "pyvale/sensorsim/cython/rastercyth.py":75 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - -static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_min_double(__Pyx_memviewslice __pyx_v_vals) { - size_t __pyx_v_num_vals; - size_t __pyx_v_ii; - double __pyx_v_min_val; - double __pyx_r; - size_t __pyx_t_1; - size_t __pyx_t_2; - size_t __pyx_t_3; - size_t __pyx_t_4; - int __pyx_t_5; - - /* "pyvale/sensorsim/cython/rastercyth.py":84 - * def vec_min_double(vals: cython.double[:]) -> cython.double: - * - * num_vals: cython.size_t = vals.shape[0] # <<<<<<<<<<<<<< - * - * ii: cython.size_t = 0 -*/ - __pyx_v_num_vals = (__pyx_v_vals.shape[0]); - - /* "pyvale/sensorsim/cython/rastercyth.py":86 - * num_vals: cython.size_t = vals.shape[0] - * - * ii: cython.size_t = 0 # <<<<<<<<<<<<<< - * min_val: cython.double = vals[ii] - * -*/ - __pyx_v_ii = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":87 - * - * ii: cython.size_t = 0 - * min_val: cython.double = vals[ii] # <<<<<<<<<<<<<< - * - * for ii in range(1,num_vals): -*/ - __pyx_t_1 = __pyx_v_ii; - __pyx_v_min_val = (*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_1 * __pyx_v_vals.strides[0]) ))); - - /* "pyvale/sensorsim/cython/rastercyth.py":89 - * min_val: cython.double = vals[ii] - * - * for ii in range(1,num_vals): # <<<<<<<<<<<<<< - * if vals[ii] < min_val: - * min_val = vals[ii] -*/ - __pyx_t_1 = __pyx_v_num_vals; - __pyx_t_2 = __pyx_t_1; - for (__pyx_t_3 = 1; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { - __pyx_v_ii = __pyx_t_3; - - /* "pyvale/sensorsim/cython/rastercyth.py":90 - * - * for ii in range(1,num_vals): - * if vals[ii] < min_val: # <<<<<<<<<<<<<< - * min_val = vals[ii] - * -*/ - __pyx_t_4 = __pyx_v_ii; - __pyx_t_5 = ((*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_4 * __pyx_v_vals.strides[0]) ))) < __pyx_v_min_val); - if (__pyx_t_5) { - - /* "pyvale/sensorsim/cython/rastercyth.py":91 - * for ii in range(1,num_vals): - * if vals[ii] < min_val: - * min_val = vals[ii] # <<<<<<<<<<<<<< - * - * return min_val -*/ - __pyx_t_4 = __pyx_v_ii; - __pyx_v_min_val = (*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_4 * __pyx_v_vals.strides[0]) ))); - - /* "pyvale/sensorsim/cython/rastercyth.py":90 - * - * for ii in range(1,num_vals): - * if vals[ii] < min_val: # <<<<<<<<<<<<<< - * min_val = vals[ii] - * -*/ - } - } - - /* "pyvale/sensorsim/cython/rastercyth.py":93 - * min_val = vals[ii] - * - * return min_val # <<<<<<<<<<<<<< - * - * -*/ - __pyx_r = __pyx_v_min_val; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":75 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} - -/* "pyvale/sensorsim/cython/rastercyth.py":96 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - -static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_dot_double(__Pyx_memviewslice __pyx_v_vec0, __Pyx_memviewslice __pyx_v_vec1) { - size_t __pyx_v_vec0_len; - size_t __pyx_v_vec1_len; - size_t __pyx_v_ii; - double __pyx_v_dot; - double __pyx_r; - int __pyx_t_1; - size_t __pyx_t_2; - size_t __pyx_t_3; - size_t __pyx_t_4; - size_t __pyx_t_5; - size_t __pyx_t_6; - - /* "pyvale/sensorsim/cython/rastercyth.py":105 - * def vec_dot_double(vec0: cython.double[:], vec1: cython.double[:] - * ) -> cython.double: - * vec0_len: cython.size_t = vec0.shape[0] # <<<<<<<<<<<<<< - * vec1_len: cython.size_t = vec1.shape[0] - * if vec0_len != vec1_len: -*/ - __pyx_v_vec0_len = (__pyx_v_vec0.shape[0]); - - /* "pyvale/sensorsim/cython/rastercyth.py":106 - * ) -> cython.double: - * vec0_len: cython.size_t = vec0.shape[0] - * vec1_len: cython.size_t = vec1.shape[0] # <<<<<<<<<<<<<< - * if vec0_len != vec1_len: - * return 0.0 -*/ - __pyx_v_vec1_len = (__pyx_v_vec1.shape[0]); - - /* "pyvale/sensorsim/cython/rastercyth.py":107 - * vec0_len: cython.size_t = vec0.shape[0] - * vec1_len: cython.size_t = vec1.shape[0] - * if vec0_len != vec1_len: # <<<<<<<<<<<<<< - * return 0.0 - * -*/ - __pyx_t_1 = (__pyx_v_vec0_len != __pyx_v_vec1_len); - if (__pyx_t_1) { - - /* "pyvale/sensorsim/cython/rastercyth.py":108 - * vec1_len: cython.size_t = vec1.shape[0] - * if vec0_len != vec1_len: - * return 0.0 # <<<<<<<<<<<<<< - * - * ii: cython.size_t = 0 -*/ - __pyx_r = 0.0; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":107 - * vec0_len: cython.size_t = vec0.shape[0] - * vec1_len: cython.size_t = vec1.shape[0] - * if vec0_len != vec1_len: # <<<<<<<<<<<<<< - * return 0.0 - * -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":110 - * return 0.0 - * - * ii: cython.size_t = 0 # <<<<<<<<<<<<<< - * dot: cython.double = 0.0 - * for ii in range(vec0_len): -*/ - __pyx_v_ii = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":111 - * - * ii: cython.size_t = 0 - * dot: cython.double = 0.0 # <<<<<<<<<<<<<< - * for ii in range(vec0_len): - * dot += vec0[ii]*vec1[ii] -*/ - __pyx_v_dot = 0.0; - - /* "pyvale/sensorsim/cython/rastercyth.py":112 - * ii: cython.size_t = 0 - * dot: cython.double = 0.0 - * for ii in range(vec0_len): # <<<<<<<<<<<<<< - * dot += vec0[ii]*vec1[ii] - * -*/ - __pyx_t_2 = __pyx_v_vec0_len; - __pyx_t_3 = __pyx_t_2; - for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { - __pyx_v_ii = __pyx_t_4; - - /* "pyvale/sensorsim/cython/rastercyth.py":113 - * dot: cython.double = 0.0 - * for ii in range(vec0_len): - * dot += vec0[ii]*vec1[ii] # <<<<<<<<<<<<<< - * - * return dot -*/ - __pyx_t_5 = __pyx_v_ii; - __pyx_t_6 = __pyx_v_ii; - __pyx_v_dot = (__pyx_v_dot + ((*((double *) ( /* dim=0 */ (__pyx_v_vec0.data + __pyx_t_5 * __pyx_v_vec0.strides[0]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec1.data + __pyx_t_6 * __pyx_v_vec1.strides[0]) ))))); - } - - /* "pyvale/sensorsim/cython/rastercyth.py":115 - * dot += vec0[ii]*vec1[ii] - * - * return dot # <<<<<<<<<<<<<< - * - * -*/ - __pyx_r = __pyx_v_dot; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":96 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} - -/* "pyvale/sensorsim/cython/rastercyth.py":118 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - -static CYTHON_INLINE int __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_min(double __pyx_v_min_val) { - int __pyx_v_min_ind; - int __pyx_r; - int __pyx_t_1; - - /* "pyvale/sensorsim/cython/rastercyth.py":126 - * @cython.exceptval(check=False) - * def bound_index_min(min_val: cython.double) -> cython.int: - * min_ind: cython.int = int(floor(min_val)) # <<<<<<<<<<<<<< - * if min_ind < 0: - * min_ind = 0 -*/ - __pyx_v_min_ind = ((int)floor(__pyx_v_min_val)); - - /* "pyvale/sensorsim/cython/rastercyth.py":127 - * def bound_index_min(min_val: cython.double) -> cython.int: - * min_ind: cython.int = int(floor(min_val)) - * if min_ind < 0: # <<<<<<<<<<<<<< - * min_ind = 0 - * return min_ind -*/ - __pyx_t_1 = (__pyx_v_min_ind < 0); - if (__pyx_t_1) { - - /* "pyvale/sensorsim/cython/rastercyth.py":128 - * min_ind: cython.int = int(floor(min_val)) - * if min_ind < 0: - * min_ind = 0 # <<<<<<<<<<<<<< - * return min_ind - * -*/ - __pyx_v_min_ind = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":127 - * def bound_index_min(min_val: cython.double) -> cython.int: - * min_ind: cython.int = int(floor(min_val)) - * if min_ind < 0: # <<<<<<<<<<<<<< - * min_ind = 0 - * return min_ind -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":129 - * if min_ind < 0: - * min_ind = 0 - * return min_ind # <<<<<<<<<<<<<< - * - * -*/ - __pyx_r = __pyx_v_min_ind; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":118 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} - -/* "pyvale/sensorsim/cython/rastercyth.py":132 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - -static CYTHON_INLINE int __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_max(double __pyx_v_max_val, int __pyx_v_num_pixels) { - int __pyx_v_max_ind; - int __pyx_r; - int __pyx_t_1; - - /* "pyvale/sensorsim/cython/rastercyth.py":141 - * def bound_index_max(max_val: cython.double, - * num_pixels: cython.int) -> cython.int: - * max_ind: cython.int = int(ceil(max_val)) # <<<<<<<<<<<<<< - * if max_ind > (num_pixels-1): - * max_ind = (num_pixels-1) -*/ - __pyx_v_max_ind = ((int)ceil(__pyx_v_max_val)); - - /* "pyvale/sensorsim/cython/rastercyth.py":142 - * num_pixels: cython.int) -> cython.int: - * max_ind: cython.int = int(ceil(max_val)) - * if max_ind > (num_pixels-1): # <<<<<<<<<<<<<< - * max_ind = (num_pixels-1) - * return max_ind -*/ - __pyx_t_1 = (__pyx_v_max_ind > (__pyx_v_num_pixels - 1)); - if (__pyx_t_1) { - - /* "pyvale/sensorsim/cython/rastercyth.py":143 - * max_ind: cython.int = int(ceil(max_val)) - * if max_ind > (num_pixels-1): - * max_ind = (num_pixels-1) # <<<<<<<<<<<<<< - * return max_ind - * -*/ - __pyx_v_max_ind = (__pyx_v_num_pixels - 1); - - /* "pyvale/sensorsim/cython/rastercyth.py":142 - * num_pixels: cython.int) -> cython.int: - * max_ind: cython.int = int(ceil(max_val)) - * if max_ind > (num_pixels-1): # <<<<<<<<<<<<<< - * max_ind = (num_pixels-1) - * return max_ind -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":144 - * if max_ind > (num_pixels-1): - * max_ind = (num_pixels-1) - * return max_ind # <<<<<<<<<<<<<< - * - * -*/ - __pyx_r = __pyx_v_max_ind; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":132 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} - -/* "pyvale/sensorsim/cython/rastercyth.py":147 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - -static CYTHON_INLINE __Pyx_memviewslice __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_mult_mat44_by_vec3(__Pyx_memviewslice __pyx_v_mat44, __Pyx_memviewslice __pyx_v_vec3_in, __Pyx_memviewslice __pyx_v_vec3_out) { - __Pyx_memviewslice __pyx_r = { 0, 0, { 0 }, { 0 }, { 0 } }; - Py_ssize_t __pyx_t_1; - Py_ssize_t __pyx_t_2; - Py_ssize_t __pyx_t_3; - Py_ssize_t __pyx_t_4; - Py_ssize_t __pyx_t_5; - Py_ssize_t __pyx_t_6; - Py_ssize_t __pyx_t_7; - Py_ssize_t __pyx_t_8; - Py_ssize_t __pyx_t_9; - Py_ssize_t __pyx_t_10; - Py_ssize_t __pyx_t_11; - Py_ssize_t __pyx_t_12; - - /* "pyvale/sensorsim/cython/rastercyth.py":157 - * vec3_out: cython.double[:]) -> cython.double[:]: - * - * vec3_out[0] = (mat44[0,0]*vec3_in[0] # <<<<<<<<<<<<<< - * + mat44[0,1]*vec3_in[1] - * + mat44[0,2]*vec3_in[2] -*/ - __pyx_t_1 = 0; - __pyx_t_2 = 0; - __pyx_t_3 = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":158 - * - * vec3_out[0] = (mat44[0,0]*vec3_in[0] - * + mat44[0,1]*vec3_in[1] # <<<<<<<<<<<<<< - * + mat44[0,2]*vec3_in[2] - * + mat44[0,3]) -*/ - __pyx_t_4 = 0; - __pyx_t_5 = 1; - __pyx_t_6 = 1; - - /* "pyvale/sensorsim/cython/rastercyth.py":159 - * vec3_out[0] = (mat44[0,0]*vec3_in[0] - * + mat44[0,1]*vec3_in[1] - * + mat44[0,2]*vec3_in[2] # <<<<<<<<<<<<<< - * + mat44[0,3]) - * vec3_out[1] = (mat44[1,0]*vec3_in[0] -*/ - __pyx_t_7 = 0; - __pyx_t_8 = 2; - __pyx_t_9 = 2; - - /* "pyvale/sensorsim/cython/rastercyth.py":160 - * + mat44[0,1]*vec3_in[1] - * + mat44[0,2]*vec3_in[2] - * + mat44[0,3]) # <<<<<<<<<<<<<< - * vec3_out[1] = (mat44[1,0]*vec3_in[0] - * + mat44[1,1]*vec3_in[1] -*/ - __pyx_t_10 = 0; - __pyx_t_11 = 3; - - /* "pyvale/sensorsim/cython/rastercyth.py":157 - * vec3_out: cython.double[:]) -> cython.double[:]: - * - * vec3_out[0] = (mat44[0,0]*vec3_in[0] # <<<<<<<<<<<<<< - * + mat44[0,1]*vec3_in[1] - * + mat44[0,2]*vec3_in[2] -*/ - __pyx_t_12 = 0; - *((double *) ( /* dim=0 */ (__pyx_v_vec3_out.data + __pyx_t_12 * __pyx_v_vec3_out.strides[0]) )) = (((((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_1 * __pyx_v_mat44.strides[0]) ) + __pyx_t_2 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_3 * __pyx_v_vec3_in.strides[0]) )))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_4 * __pyx_v_mat44.strides[0]) ) + __pyx_t_5 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_6 * __pyx_v_vec3_in.strides[0]) ))))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_7 * __pyx_v_mat44.strides[0]) ) + __pyx_t_8 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_9 * __pyx_v_vec3_in.strides[0]) ))))) + (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_10 * __pyx_v_mat44.strides[0]) ) + __pyx_t_11 * __pyx_v_mat44.strides[1]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":161 - * + mat44[0,2]*vec3_in[2] - * + mat44[0,3]) - * vec3_out[1] = (mat44[1,0]*vec3_in[0] # <<<<<<<<<<<<<< - * + mat44[1,1]*vec3_in[1] - * + mat44[1,2]*vec3_in[2] -*/ - __pyx_t_11 = 1; - __pyx_t_10 = 0; - __pyx_t_9 = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":162 - * + mat44[0,3]) - * vec3_out[1] = (mat44[1,0]*vec3_in[0] - * + mat44[1,1]*vec3_in[1] # <<<<<<<<<<<<<< - * + mat44[1,2]*vec3_in[2] - * + mat44[1,3]) -*/ - __pyx_t_8 = 1; - __pyx_t_7 = 1; - __pyx_t_6 = 1; - - /* "pyvale/sensorsim/cython/rastercyth.py":163 - * vec3_out[1] = (mat44[1,0]*vec3_in[0] - * + mat44[1,1]*vec3_in[1] - * + mat44[1,2]*vec3_in[2] # <<<<<<<<<<<<<< - * + mat44[1,3]) - * vec3_out[2] = (mat44[2,0]*vec3_in[0] -*/ - __pyx_t_5 = 1; - __pyx_t_4 = 2; - __pyx_t_3 = 2; - - /* "pyvale/sensorsim/cython/rastercyth.py":164 - * + mat44[1,1]*vec3_in[1] - * + mat44[1,2]*vec3_in[2] - * + mat44[1,3]) # <<<<<<<<<<<<<< - * vec3_out[2] = (mat44[2,0]*vec3_in[0] - * + mat44[2,1]*vec3_in[1] -*/ - __pyx_t_2 = 1; - __pyx_t_1 = 3; - - /* "pyvale/sensorsim/cython/rastercyth.py":161 - * + mat44[0,2]*vec3_in[2] - * + mat44[0,3]) - * vec3_out[1] = (mat44[1,0]*vec3_in[0] # <<<<<<<<<<<<<< - * + mat44[1,1]*vec3_in[1] - * + mat44[1,2]*vec3_in[2] -*/ - __pyx_t_12 = 1; - *((double *) ( /* dim=0 */ (__pyx_v_vec3_out.data + __pyx_t_12 * __pyx_v_vec3_out.strides[0]) )) = (((((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_11 * __pyx_v_mat44.strides[0]) ) + __pyx_t_10 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_9 * __pyx_v_vec3_in.strides[0]) )))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_8 * __pyx_v_mat44.strides[0]) ) + __pyx_t_7 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_6 * __pyx_v_vec3_in.strides[0]) ))))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_5 * __pyx_v_mat44.strides[0]) ) + __pyx_t_4 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_3 * __pyx_v_vec3_in.strides[0]) ))))) + (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_2 * __pyx_v_mat44.strides[0]) ) + __pyx_t_1 * __pyx_v_mat44.strides[1]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":165 - * + mat44[1,2]*vec3_in[2] - * + mat44[1,3]) - * vec3_out[2] = (mat44[2,0]*vec3_in[0] # <<<<<<<<<<<<<< - * + mat44[2,1]*vec3_in[1] - * + mat44[2,2]*vec3_in[2] -*/ - __pyx_t_1 = 2; - __pyx_t_2 = 0; - __pyx_t_3 = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":166 - * + mat44[1,3]) - * vec3_out[2] = (mat44[2,0]*vec3_in[0] - * + mat44[2,1]*vec3_in[1] # <<<<<<<<<<<<<< - * + mat44[2,2]*vec3_in[2] - * + mat44[2,3]) -*/ - __pyx_t_4 = 2; - __pyx_t_5 = 1; - __pyx_t_6 = 1; - - /* "pyvale/sensorsim/cython/rastercyth.py":167 - * vec3_out[2] = (mat44[2,0]*vec3_in[0] - * + mat44[2,1]*vec3_in[1] - * + mat44[2,2]*vec3_in[2] # <<<<<<<<<<<<<< - * + mat44[2,3]) - * vec3_out[3] = (mat44[3,0]*vec3_in[0] -*/ - __pyx_t_7 = 2; - __pyx_t_8 = 2; - __pyx_t_9 = 2; - - /* "pyvale/sensorsim/cython/rastercyth.py":168 - * + mat44[2,1]*vec3_in[1] - * + mat44[2,2]*vec3_in[2] - * + mat44[2,3]) # <<<<<<<<<<<<<< - * vec3_out[3] = (mat44[3,0]*vec3_in[0] - * + mat44[3,1]*vec3_in[1] -*/ - __pyx_t_10 = 2; - __pyx_t_11 = 3; - - /* "pyvale/sensorsim/cython/rastercyth.py":165 - * + mat44[1,2]*vec3_in[2] - * + mat44[1,3]) - * vec3_out[2] = (mat44[2,0]*vec3_in[0] # <<<<<<<<<<<<<< - * + mat44[2,1]*vec3_in[1] - * + mat44[2,2]*vec3_in[2] -*/ - __pyx_t_12 = 2; - *((double *) ( /* dim=0 */ (__pyx_v_vec3_out.data + __pyx_t_12 * __pyx_v_vec3_out.strides[0]) )) = (((((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_1 * __pyx_v_mat44.strides[0]) ) + __pyx_t_2 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_3 * __pyx_v_vec3_in.strides[0]) )))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_4 * __pyx_v_mat44.strides[0]) ) + __pyx_t_5 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_6 * __pyx_v_vec3_in.strides[0]) ))))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_7 * __pyx_v_mat44.strides[0]) ) + __pyx_t_8 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_9 * __pyx_v_vec3_in.strides[0]) ))))) + (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_10 * __pyx_v_mat44.strides[0]) ) + __pyx_t_11 * __pyx_v_mat44.strides[1]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":169 - * + mat44[2,2]*vec3_in[2] - * + mat44[2,3]) - * vec3_out[3] = (mat44[3,0]*vec3_in[0] # <<<<<<<<<<<<<< - * + mat44[3,1]*vec3_in[1] - * + mat44[3,2]*vec3_in[2] -*/ - __pyx_t_11 = 3; - __pyx_t_10 = 0; - __pyx_t_9 = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":170 - * + mat44[2,3]) - * vec3_out[3] = (mat44[3,0]*vec3_in[0] - * + mat44[3,1]*vec3_in[1] # <<<<<<<<<<<<<< - * + mat44[3,2]*vec3_in[2] - * + mat44[3,3]) -*/ - __pyx_t_8 = 3; - __pyx_t_7 = 1; - __pyx_t_6 = 1; - - /* "pyvale/sensorsim/cython/rastercyth.py":171 - * vec3_out[3] = (mat44[3,0]*vec3_in[0] - * + mat44[3,1]*vec3_in[1] - * + mat44[3,2]*vec3_in[2] # <<<<<<<<<<<<<< - * + mat44[3,3]) - * -*/ - __pyx_t_5 = 3; - __pyx_t_4 = 2; - __pyx_t_3 = 2; - - /* "pyvale/sensorsim/cython/rastercyth.py":172 - * + mat44[3,1]*vec3_in[1] - * + mat44[3,2]*vec3_in[2] - * + mat44[3,3]) # <<<<<<<<<<<<<< - * - * return vec3_out -*/ - __pyx_t_2 = 3; - __pyx_t_1 = 3; - - /* "pyvale/sensorsim/cython/rastercyth.py":169 - * + mat44[2,2]*vec3_in[2] - * + mat44[2,3]) - * vec3_out[3] = (mat44[3,0]*vec3_in[0] # <<<<<<<<<<<<<< - * + mat44[3,1]*vec3_in[1] - * + mat44[3,2]*vec3_in[2] -*/ - __pyx_t_12 = 3; - *((double *) ( /* dim=0 */ (__pyx_v_vec3_out.data + __pyx_t_12 * __pyx_v_vec3_out.strides[0]) )) = (((((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_11 * __pyx_v_mat44.strides[0]) ) + __pyx_t_10 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_9 * __pyx_v_vec3_in.strides[0]) )))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_8 * __pyx_v_mat44.strides[0]) ) + __pyx_t_7 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_6 * __pyx_v_vec3_in.strides[0]) ))))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_5 * __pyx_v_mat44.strides[0]) ) + __pyx_t_4 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_3 * __pyx_v_vec3_in.strides[0]) ))))) + (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_2 * __pyx_v_mat44.strides[0]) ) + __pyx_t_1 * __pyx_v_mat44.strides[1]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":174 - * + mat44[3,3]) - * - * return vec3_out # <<<<<<<<<<<<<< - * - * -*/ - __PYX_INC_MEMVIEW(&__pyx_v_vec3_out, 0); - __pyx_r = __pyx_v_vec3_out; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":147 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - - /* function exit code */ - __pyx_L0:; - if (unlikely(!__pyx_r.memview)) { - PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); - PyErr_SetString(PyExc_TypeError, "Memoryview return value is not initialized"); - __Pyx_PyGILState_Release(__pyx_gilstate_save); - } - return __pyx_r; -} - -/* "pyvale/sensorsim/cython/rastercyth.py":177 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - -static __Pyx_memviewslice __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_world_to_raster_coords(__Pyx_memviewslice __pyx_v_coords_world, __Pyx_memviewslice __pyx_v_world_to_cam_mat, double __pyx_v_image_dist, __Pyx_memviewslice __pyx_v_image_dims, __Pyx_memviewslice __pyx_v_num_pixels, __Pyx_memviewslice __pyx_v_coords_raster) { - size_t __pyx_v_xx; - size_t __pyx_v_yy; - size_t __pyx_v_zz; - size_t __pyx_v_ww; - __Pyx_memviewslice __pyx_r = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_memviewslice __pyx_t_1 = { 0, 0, { 0 }, { 0 }, { 0 } }; - size_t __pyx_t_2; - size_t __pyx_t_3; - size_t __pyx_t_4; - int __pyx_lineno = 0; - const char *__pyx_filename = NULL; - int __pyx_clineno = 0; - PyGILState_STATE __pyx_gilstate_save; - __PYX_INC_MEMVIEW(&__pyx_v_coords_raster, 0); - - /* "pyvale/sensorsim/cython/rastercyth.py":190 - * coords_raster: cython.double[:] - * ) -> cython.double[:]: - * xx: cython.size_t = 0 # <<<<<<<<<<<<<< - * yy: cython.size_t = 1 - * zz: cython.size_t = 2 -*/ - __pyx_v_xx = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":191 - * ) -> cython.double[:]: - * xx: cython.size_t = 0 - * yy: cython.size_t = 1 # <<<<<<<<<<<<<< - * zz: cython.size_t = 2 - * ww: cython.size_t = 3 -*/ - __pyx_v_yy = 1; - - /* "pyvale/sensorsim/cython/rastercyth.py":192 - * xx: cython.size_t = 0 - * yy: cython.size_t = 1 - * zz: cython.size_t = 2 # <<<<<<<<<<<<<< - * ww: cython.size_t = 3 - * -*/ - __pyx_v_zz = 2; - - /* "pyvale/sensorsim/cython/rastercyth.py":193 - * yy: cython.size_t = 1 - * zz: cython.size_t = 2 - * ww: cython.size_t = 3 # <<<<<<<<<<<<<< - * - * coords_raster = mult_mat44_by_vec3(world_to_cam_mat, -*/ - __pyx_v_ww = 3; - - /* "pyvale/sensorsim/cython/rastercyth.py":195 - * ww: cython.size_t = 3 - * - * coords_raster = mult_mat44_by_vec3(world_to_cam_mat, # <<<<<<<<<<<<<< - * coords_world, - * coords_raster) -*/ - __pyx_t_1 = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_mult_mat44_by_vec3(__pyx_v_world_to_cam_mat, __pyx_v_coords_world, __pyx_v_coords_raster); if (unlikely(!__pyx_t_1.memview)) __PYX_ERR(0, 195, __pyx_L1_error) - __PYX_XCLEAR_MEMVIEW(&__pyx_v_coords_raster, 0); - __pyx_v_coords_raster = __pyx_t_1; - __pyx_t_1.memview = NULL; - __pyx_t_1.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":199 - * coords_raster) - * - * coords_raster[xx] = coords_raster[xx] / coords_raster[ww] # <<<<<<<<<<<<<< - * coords_raster[yy] = coords_raster[yy] / coords_raster[ww] - * coords_raster[zz] = coords_raster[zz] / coords_raster[ww] -*/ - __pyx_t_2 = __pyx_v_xx; - __pyx_t_3 = __pyx_v_ww; - __pyx_t_4 = __pyx_v_xx; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) ))) / (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":200 - * - * coords_raster[xx] = coords_raster[xx] / coords_raster[ww] - * coords_raster[yy] = coords_raster[yy] / coords_raster[ww] # <<<<<<<<<<<<<< - * coords_raster[zz] = coords_raster[zz] / coords_raster[ww] - * -*/ - __pyx_t_3 = __pyx_v_yy; - __pyx_t_2 = __pyx_v_ww; - __pyx_t_4 = __pyx_v_yy; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) ))) / (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":201 - * coords_raster[xx] = coords_raster[xx] / coords_raster[ww] - * coords_raster[yy] = coords_raster[yy] / coords_raster[ww] - * coords_raster[zz] = coords_raster[zz] / coords_raster[ww] # <<<<<<<<<<<<<< - * - * coords_raster[xx] = (image_dist * coords_raster[xx] -*/ - __pyx_t_2 = __pyx_v_zz; - __pyx_t_3 = __pyx_v_ww; - __pyx_t_4 = __pyx_v_zz; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) ))) / (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":203 - * coords_raster[zz] = coords_raster[zz] / coords_raster[ww] - * - * coords_raster[xx] = (image_dist * coords_raster[xx] # <<<<<<<<<<<<<< - * / -coords_raster[zz]) - * coords_raster[yy] = (image_dist * coords_raster[yy] -*/ - __pyx_t_3 = __pyx_v_xx; - - /* "pyvale/sensorsim/cython/rastercyth.py":204 - * - * coords_raster[xx] = (image_dist * coords_raster[xx] - * / -coords_raster[zz]) # <<<<<<<<<<<<<< - * coords_raster[yy] = (image_dist * coords_raster[yy] - * / -coords_raster[zz]) -*/ - __pyx_t_2 = __pyx_v_zz; - - /* "pyvale/sensorsim/cython/rastercyth.py":203 - * coords_raster[zz] = coords_raster[zz] / coords_raster[ww] - * - * coords_raster[xx] = (image_dist * coords_raster[xx] # <<<<<<<<<<<<<< - * / -coords_raster[zz]) - * coords_raster[yy] = (image_dist * coords_raster[yy] -*/ - __pyx_t_4 = __pyx_v_xx; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((__pyx_v_image_dist * (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) )))) / (-(*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) ))))); - - /* "pyvale/sensorsim/cython/rastercyth.py":205 - * coords_raster[xx] = (image_dist * coords_raster[xx] - * / -coords_raster[zz]) - * coords_raster[yy] = (image_dist * coords_raster[yy] # <<<<<<<<<<<<<< - * / -coords_raster[zz]) - * -*/ - __pyx_t_2 = __pyx_v_yy; - - /* "pyvale/sensorsim/cython/rastercyth.py":206 - * / -coords_raster[zz]) - * coords_raster[yy] = (image_dist * coords_raster[yy] - * / -coords_raster[zz]) # <<<<<<<<<<<<<< - * - * coords_raster[xx] = 2*coords_raster[xx] / image_dims[xx] -*/ - __pyx_t_3 = __pyx_v_zz; - - /* "pyvale/sensorsim/cython/rastercyth.py":205 - * coords_raster[xx] = (image_dist * coords_raster[xx] - * / -coords_raster[zz]) - * coords_raster[yy] = (image_dist * coords_raster[yy] # <<<<<<<<<<<<<< - * / -coords_raster[zz]) - * -*/ - __pyx_t_4 = __pyx_v_yy; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((__pyx_v_image_dist * (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )))) / (-(*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) ))))); - - /* "pyvale/sensorsim/cython/rastercyth.py":208 - * / -coords_raster[zz]) - * - * coords_raster[xx] = 2*coords_raster[xx] / image_dims[xx] # <<<<<<<<<<<<<< - * coords_raster[yy] = 2*coords_raster[yy] / image_dims[yy] - * -*/ - __pyx_t_3 = __pyx_v_xx; - __pyx_t_2 = __pyx_v_xx; - __pyx_t_4 = __pyx_v_xx; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((2.0 * (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) )))) / (*((double *) ( /* dim=0 */ (__pyx_v_image_dims.data + __pyx_t_2 * __pyx_v_image_dims.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":209 - * - * coords_raster[xx] = 2*coords_raster[xx] / image_dims[xx] - * coords_raster[yy] = 2*coords_raster[yy] / image_dims[yy] # <<<<<<<<<<<<<< - * - * coords_raster[xx] = (coords_raster[xx] + 1)/2 * num_pixels[xx] -*/ - __pyx_t_2 = __pyx_v_yy; - __pyx_t_3 = __pyx_v_yy; - __pyx_t_4 = __pyx_v_yy; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((2.0 * (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )))) / (*((double *) ( /* dim=0 */ (__pyx_v_image_dims.data + __pyx_t_3 * __pyx_v_image_dims.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":211 - * coords_raster[yy] = 2*coords_raster[yy] / image_dims[yy] - * - * coords_raster[xx] = (coords_raster[xx] + 1)/2 * num_pixels[xx] # <<<<<<<<<<<<<< - * coords_raster[yy] = (1-coords_raster[yy])/2 * num_pixels[yy] - * coords_raster[zz] = -coords_raster[zz] -*/ - __pyx_t_3 = __pyx_v_xx; - __pyx_t_2 = __pyx_v_xx; - __pyx_t_4 = __pyx_v_xx; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((((*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) ))) + 1.0) / 2.0) * (*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_2 * __pyx_v_num_pixels.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":212 - * - * coords_raster[xx] = (coords_raster[xx] + 1)/2 * num_pixels[xx] - * coords_raster[yy] = (1-coords_raster[yy])/2 * num_pixels[yy] # <<<<<<<<<<<<<< - * coords_raster[zz] = -coords_raster[zz] - * -*/ - __pyx_t_2 = __pyx_v_yy; - __pyx_t_3 = __pyx_v_yy; - __pyx_t_4 = __pyx_v_yy; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = (((1.0 - (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )))) / 2.0) * (*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_3 * __pyx_v_num_pixels.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":213 - * coords_raster[xx] = (coords_raster[xx] + 1)/2 * num_pixels[xx] - * coords_raster[yy] = (1-coords_raster[yy])/2 * num_pixels[yy] - * coords_raster[zz] = -coords_raster[zz] # <<<<<<<<<<<<<< - * - * return coords_raster -*/ - __pyx_t_3 = __pyx_v_zz; - __pyx_t_2 = __pyx_v_zz; - *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )) = (-(*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":215 - * coords_raster[zz] = -coords_raster[zz] - * - * return coords_raster # <<<<<<<<<<<<<< - * - * @cython.cfunc -*/ - __PYX_INC_MEMVIEW(&__pyx_v_coords_raster, 0); - __pyx_r = __pyx_v_coords_raster; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":177 - * - * - * @cython.nogil # <<<<<<<<<<<<<< - * @cython.cfunc # python+C or cython.cfunc for C only - * @cython.boundscheck(False) # Turn off array bounds checking -*/ - - /* function exit code */ - __pyx_L1_error:; - __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_1, 1); - __pyx_r.data = NULL; - __pyx_r.memview = NULL; - __Pyx_AddTraceback("pyvale.sensorsim.cython.rastercyth.world_to_raster_coords", __pyx_clineno, __pyx_lineno, __pyx_filename); - __Pyx_PyGILState_Release(__pyx_gilstate_save); - goto __pyx_L2; - __pyx_L0:; - if (unlikely(!__pyx_r.memview)) { - PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure(); - PyErr_SetString(PyExc_TypeError, "Memoryview return value is not initialized"); - __Pyx_PyGILState_Release(__pyx_gilstate_save); - } - __pyx_L2:; - __PYX_XCLEAR_MEMVIEW(&__pyx_v_coords_raster, 0); - return __pyx_r; -} - -/* "pyvale/sensorsim/cython/rastercyth.py":217 - * return coords_raster - * - * @cython.cfunc # <<<<<<<<<<<<<< - * @cython.nogil - * @cython.boundscheck(False) -*/ - -static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__Pyx_memviewslice __pyx_v_vert_0, __Pyx_memviewslice __pyx_v_vert_1, __Pyx_memviewslice __pyx_v_vert_2) { - double __pyx_v_edge_fun; - double __pyx_r; - Py_ssize_t __pyx_t_1; - Py_ssize_t __pyx_t_2; - Py_ssize_t __pyx_t_3; - Py_ssize_t __pyx_t_4; - Py_ssize_t __pyx_t_5; - Py_ssize_t __pyx_t_6; - Py_ssize_t __pyx_t_7; - Py_ssize_t __pyx_t_8; - - /* "pyvale/sensorsim/cython/rastercyth.py":227 - * vert_2: cython.double[:]) -> cython.double: - * edge_fun: cython.double = ( - * (vert_2[0] - vert_0[0]) * (vert_1[1] - vert_0[1]) # <<<<<<<<<<<<<< - * - (vert_2[1] - vert_0[1]) * (vert_1[0] - vert_0[0])) - * return edge_fun -*/ - __pyx_t_1 = 0; - __pyx_t_2 = 0; - __pyx_t_3 = 1; - __pyx_t_4 = 1; - - /* "pyvale/sensorsim/cython/rastercyth.py":228 - * edge_fun: cython.double = ( - * (vert_2[0] - vert_0[0]) * (vert_1[1] - vert_0[1]) - * - (vert_2[1] - vert_0[1]) * (vert_1[0] - vert_0[0])) # <<<<<<<<<<<<<< - * return edge_fun - * -*/ - __pyx_t_5 = 1; - __pyx_t_6 = 1; - __pyx_t_7 = 0; - __pyx_t_8 = 0; - __pyx_v_edge_fun = ((((*((double *) ( /* dim=0 */ (__pyx_v_vert_2.data + __pyx_t_1 * __pyx_v_vert_2.strides[0]) ))) - (*((double *) ( /* dim=0 */ (__pyx_v_vert_0.data + __pyx_t_2 * __pyx_v_vert_0.strides[0]) )))) * ((*((double *) ( /* dim=0 */ (__pyx_v_vert_1.data + __pyx_t_3 * __pyx_v_vert_1.strides[0]) ))) - (*((double *) ( /* dim=0 */ (__pyx_v_vert_0.data + __pyx_t_4 * __pyx_v_vert_0.strides[0]) ))))) - (((*((double *) ( /* dim=0 */ (__pyx_v_vert_2.data + __pyx_t_5 * __pyx_v_vert_2.strides[0]) ))) - (*((double *) ( /* dim=0 */ (__pyx_v_vert_0.data + __pyx_t_6 * __pyx_v_vert_0.strides[0]) )))) * ((*((double *) ( /* dim=0 */ (__pyx_v_vert_1.data + __pyx_t_7 * __pyx_v_vert_1.strides[0]) ))) - (*((double *) ( /* dim=0 */ (__pyx_v_vert_0.data + __pyx_t_8 * __pyx_v_vert_0.strides[0]) )))))); - - /* "pyvale/sensorsim/cython/rastercyth.py":229 - * (vert_2[0] - vert_0[0]) * (vert_1[1] - vert_0[1]) - * - (vert_2[1] - vert_0[1]) * (vert_1[0] - vert_0[0])) - * return edge_fun # <<<<<<<<<<<<<< - * - * -*/ - __pyx_r = __pyx_v_edge_fun; - goto __pyx_L0; - - /* "pyvale/sensorsim/cython/rastercyth.py":217 - * return coords_raster - * - * @cython.cfunc # <<<<<<<<<<<<<< - * @cython.nogil - * @cython.boundscheck(False) -*/ - - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} - -/* "pyvale/sensorsim/cython/rastercyth.py":232 - * - * - * @cython.cfunc # <<<<<<<<<<<<<< - * @cython.nogil - * @cython.boundscheck(False) -*/ - -static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function_pt(__Pyx_memviewslice __pyx_v_vert_0, __Pyx_memviewslice __pyx_v_vert_1, double __pyx_v_vert_2_x, double __pyx_v_vert_2_y) { - double __pyx_v_edge_fun; - double __pyx_r; - Py_ssize_t __pyx_t_1; - Py_ssize_t __pyx_t_2; - Py_ssize_t __pyx_t_3; - Py_ssize_t __pyx_t_4; - Py_ssize_t __pyx_t_5; 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- - /* "pyvale/sensorsim/cython/rastercyth.py":506 - * # Lifted constants - * coord_step: cython.double = 1.0/float(sub_samp) - * coord_offset: cython.double = 1.0/(2.0*float(sub_samp)) # <<<<<<<<<<<<<< - * - * ee: cython.size_t = 0 -*/ - __pyx_v_coord_offset = (1.0 / (2.0 * ((double)__pyx_v_sub_samp))); - - /* "pyvale/sensorsim/cython/rastercyth.py":508 - * coord_offset: cython.double = 1.0/(2.0*float(sub_samp)) - * - * ee: cython.size_t = 0 # <<<<<<<<<<<<<< - * nn: cython.size_t = 0 - * ii: cython.size_t = 0 -*/ - __pyx_v_ee = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":509 - * - * ee: cython.size_t = 0 - * nn: cython.size_t = 0 # <<<<<<<<<<<<<< - * ii: cython.size_t = 0 - * jj: cython.size_t = 0 -*/ - __pyx_v_nn = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":510 - * ee: cython.size_t = 0 - * nn: cython.size_t = 0 - * ii: cython.size_t = 0 # <<<<<<<<<<<<<< - * jj: cython.size_t = 0 - * ww: cython.size_t = 0 -*/ - __pyx_v_ii = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":511 - * nn: cython.size_t = 0 - * ii: cython.size_t = 0 - * jj: cython.size_t = 0 # <<<<<<<<<<<<<< - * ww: cython.size_t = 0 - * ff: cython.size_t = 0 -*/ - __pyx_v_jj = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":512 - * ii: cython.size_t = 0 - * jj: cython.size_t = 0 - * ww: cython.size_t = 0 # <<<<<<<<<<<<<< - * ff: cython.size_t = 0 - * -*/ - __pyx_v_ww = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":513 - * jj: cython.size_t = 0 - * ww: cython.size_t = 0 - * ff: cython.size_t = 0 # <<<<<<<<<<<<<< - * - * for ee in range(elem_count): -*/ - __pyx_v_ff = 0; - - /* "pyvale/sensorsim/cython/rastercyth.py":515 - * ff: cython.size_t = 0 - * - * for ee in range(elem_count): # <<<<<<<<<<<<<< - * - * for nn in range(nodes_per_elem): -*/ - __pyx_t_1 = __pyx_v_elem_count; - __pyx_t_2 = __pyx_t_1; - for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { - __pyx_v_ee = __pyx_t_3; - - /* "pyvale/sensorsim/cython/rastercyth.py":517 - * for ee in range(elem_count): - * - * for nn in range(nodes_per_elem): # <<<<<<<<<<<<<< - * # shape=(nodes_per_elem, coord[X,Y,Z,W]) - * nodes_raster_buff[nn,:] = world_to_raster_coords(coords[connect[ee,nn],:], -*/ - __pyx_t_4 = __pyx_v_nodes_per_elem; - __pyx_t_5 = __pyx_t_4; - for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { - __pyx_v_nn = __pyx_t_6; - - /* "pyvale/sensorsim/cython/rastercyth.py":519 - * for nn in range(nodes_per_elem): - * # shape=(nodes_per_elem, coord[X,Y,Z,W]) - * nodes_raster_buff[nn,:] = world_to_raster_coords(coords[connect[ee,nn],:], # <<<<<<<<<<<<<< - * world_to_cam_mat, - * image_dist, -*/ - __pyx_t_7 = __pyx_v_ee; - __pyx_t_8 = __pyx_v_nn; - __pyx_t_9.data = __pyx_v_coords.data; - __pyx_t_9.memview = __pyx_v_coords.memview; - __PYX_INC_MEMVIEW(&__pyx_t_9, 1); - { - Py_ssize_t __pyx_tmp_idx = (*((size_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_connect.data + __pyx_t_7 * __pyx_v_connect.strides[0]) ) + __pyx_t_8 * __pyx_v_connect.strides[1]) ))); - Py_ssize_t __pyx_tmp_stride = __pyx_v_coords.strides[0]; - __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_9.shape[0] = __pyx_v_coords.shape[1]; -__pyx_t_9.strides[0] = __pyx_v_coords.strides[1]; - __pyx_t_9.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 519, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":524 - * image_dims, - * num_pixels, - * nodes_raster_buff[nn,:]) # <<<<<<<<<<<<<< - * - * -*/ - __pyx_t_10.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_10, 1); - { - Py_ssize_t __pyx_tmp_idx = __pyx_v_nn; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_10.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 524, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":519 - * for nn in range(nodes_per_elem): - * # shape=(nodes_per_elem, coord[X,Y,Z,W]) - * nodes_raster_buff[nn,:] = world_to_raster_coords(coords[connect[ee,nn],:], # <<<<<<<<<<<<<< - * world_to_cam_mat, - * image_dist, -*/ - __pyx_t_11 = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_world_to_raster_coords(__pyx_t_9, __pyx_v_world_to_cam_mat, __pyx_v_image_dist, __pyx_v_image_dims, __pyx_v_num_pixels, __pyx_t_10); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(0, 519, __pyx_L1_error) - __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; - __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1); - __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL; - __pyx_t_10.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_10, 1); - { - Py_ssize_t __pyx_tmp_idx = __pyx_v_nn; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_10.suboffsets[0] = -1; - -if (unlikely((__pyx_memoryview_copy_contents(__pyx_t_11, __pyx_t_10, 1, 1, 0) < 0))) __PYX_ERR(0, 519, __pyx_L1_error) - __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1); - __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL; - __PYX_XCLEAR_MEMVIEW(&__pyx_t_11, 1); - __pyx_t_11.memview = NULL; __pyx_t_11.data = NULL; - } - - /* "pyvale/sensorsim/cython/rastercyth.py":527 - * - * - * elem_area: cython.double = edge_function(nodes_raster_buff[0,:], # <<<<<<<<<<<<<< - * nodes_raster_buff[1,:], - * nodes_raster_buff[2,:]) -*/ - __pyx_t_11.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_11.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_11, 1); - { - Py_ssize_t __pyx_tmp_idx = 0; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_11.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_11.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_11.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_11.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_11.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 527, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":528 - * - * elem_area: cython.double = edge_function(nodes_raster_buff[0,:], - * nodes_raster_buff[1,:], # <<<<<<<<<<<<<< - * nodes_raster_buff[2,:]) - * -*/ - __pyx_t_10.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_10, 1); - { - Py_ssize_t __pyx_tmp_idx = 1; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_10.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 528, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":529 - * elem_area: cython.double = edge_function(nodes_raster_buff[0,:], - * nodes_raster_buff[1,:], - * nodes_raster_buff[2,:]) # <<<<<<<<<<<<<< - * - * if elem_area < -tol: # Backface culling -*/ - __pyx_t_9.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_9, 1); - { - Py_ssize_t __pyx_tmp_idx = 2; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_9.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 529, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":527 - * - * - * elem_area: cython.double = edge_function(nodes_raster_buff[0,:], # <<<<<<<<<<<<<< - * nodes_raster_buff[1,:], - * nodes_raster_buff[2,:]) -*/ - __pyx_v_elem_area = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__pyx_t_11, __pyx_t_10, __pyx_t_9); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_11, 1); - __pyx_t_11.memview = NULL; __pyx_t_11.data = NULL; - __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1); - __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL; - __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":531 - * nodes_raster_buff[2,:]) - * - * if elem_area < -tol: # Backface culling # <<<<<<<<<<<<<< - * continue - * -*/ - __pyx_t_12 = (__pyx_v_elem_area < (-__pyx_v_tol)); - if (__pyx_t_12) { - - /* "pyvale/sensorsim/cython/rastercyth.py":532 - * - * if elem_area < -tol: # Backface culling - * continue # <<<<<<<<<<<<<< - * - * # print(f"{nodes_raster_buff[0,0]},{nodes_raster_buff[0,1]},{nodes_raster_buff[0,2]}") -*/ - goto __pyx_L3_continue; - - /* "pyvale/sensorsim/cython/rastercyth.py":531 - * nodes_raster_buff[2,:]) - * - * if elem_area < -tol: # Backface culling # <<<<<<<<<<<<<< - * continue - * -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":540 - * # print() - * - * x_min: cython.double = vec_min_double(nodes_raster_buff[:,xx]) # <<<<<<<<<<<<<< - * x_max: cython.double = vec_max_double(nodes_raster_buff[:,xx]) - * -*/ - __pyx_t_9.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[0]; -__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_9.suboffsets[0] = -1; - -{ - Py_ssize_t __pyx_tmp_idx = __pyx_v_xx; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 540, __pyx_L1_error) - } - __pyx_v_x_min = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_min_double(__pyx_t_9); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":541 - * - * x_min: cython.double = vec_min_double(nodes_raster_buff[:,xx]) - * x_max: cython.double = vec_max_double(nodes_raster_buff[:,xx]) # <<<<<<<<<<<<<< - * - * if ((x_min > num_pixels[xx]-1) or (x_max < 0)): # x crop -*/ - __pyx_t_9.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[0]; -__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_9.suboffsets[0] = -1; - -{ - Py_ssize_t __pyx_tmp_idx = __pyx_v_xx; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 541, __pyx_L1_error) - } - __pyx_v_x_max = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_max_double(__pyx_t_9); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":543 - * x_max: cython.double = vec_max_double(nodes_raster_buff[:,xx]) - * - * if ((x_min > num_pixels[xx]-1) or (x_max < 0)): # x crop # <<<<<<<<<<<<<< - * continue - * -*/ - __pyx_t_4 = __pyx_v_xx; - __pyx_t_13 = (__pyx_v_x_min > ((*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_4 * __pyx_v_num_pixels.strides[0]) ))) - 1)); - if (!__pyx_t_13) { - } else { - __pyx_t_12 = __pyx_t_13; - goto __pyx_L9_bool_binop_done; - } - __pyx_t_13 = (__pyx_v_x_max < 0.0); - __pyx_t_12 = __pyx_t_13; - __pyx_L9_bool_binop_done:; - if (__pyx_t_12) { - - /* "pyvale/sensorsim/cython/rastercyth.py":544 - * - * if ((x_min > num_pixels[xx]-1) or (x_max < 0)): # x crop - * continue # <<<<<<<<<<<<<< - * - * y_min: cython.double = vec_min_double(nodes_raster_buff[:,yy]) -*/ - goto __pyx_L3_continue; - - /* "pyvale/sensorsim/cython/rastercyth.py":543 - * x_max: cython.double = vec_max_double(nodes_raster_buff[:,xx]) - * - * if ((x_min > num_pixels[xx]-1) or (x_max < 0)): # x crop # <<<<<<<<<<<<<< - * continue - * -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":546 - * continue - * - * y_min: cython.double = vec_min_double(nodes_raster_buff[:,yy]) # <<<<<<<<<<<<<< - * y_max: cython.double = vec_max_double(nodes_raster_buff[:,yy]) - * -*/ - __pyx_t_9.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[0]; -__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_9.suboffsets[0] = -1; - -{ - Py_ssize_t __pyx_tmp_idx = __pyx_v_yy; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 546, __pyx_L1_error) - } - __pyx_v_y_min = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_min_double(__pyx_t_9); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":547 - * - * y_min: cython.double = vec_min_double(nodes_raster_buff[:,yy]) - * y_max: cython.double = vec_max_double(nodes_raster_buff[:,yy]) # <<<<<<<<<<<<<< - * - * if ((y_min > num_pixels[yy]-1) or (y_max < 0)): # y crop -*/ - __pyx_t_9.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[0]; -__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_9.suboffsets[0] = -1; - -{ - Py_ssize_t __pyx_tmp_idx = __pyx_v_yy; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 547, __pyx_L1_error) - } - __pyx_v_y_max = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_max_double(__pyx_t_9); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":549 - * y_max: cython.double = vec_max_double(nodes_raster_buff[:,yy]) - * - * if ((y_min > num_pixels[yy]-1) or (y_max < 0)): # y crop # <<<<<<<<<<<<<< - * continue - * -*/ - __pyx_t_4 = __pyx_v_yy; - __pyx_t_13 = (__pyx_v_y_min > ((*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_4 * __pyx_v_num_pixels.strides[0]) ))) - 1)); - if (!__pyx_t_13) { - } else { - __pyx_t_12 = __pyx_t_13; - goto __pyx_L12_bool_binop_done; - } - __pyx_t_13 = (__pyx_v_y_max < 0.0); - __pyx_t_12 = __pyx_t_13; - __pyx_L12_bool_binop_done:; - if (__pyx_t_12) { - - /* "pyvale/sensorsim/cython/rastercyth.py":550 - * - * if ((y_min > num_pixels[yy]-1) or (y_max < 0)): # y crop - * continue # <<<<<<<<<<<<<< - * - * # print(f"Elem {ee}: x, min {x_min}") -*/ - goto __pyx_L3_continue; - - /* "pyvale/sensorsim/cython/rastercyth.py":549 - * y_max: cython.double = vec_max_double(nodes_raster_buff[:,yy]) - * - * if ((y_min > num_pixels[yy]-1) or (y_max < 0)): # y crop # <<<<<<<<<<<<<< - * continue - * -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":557 - * # print(f"Elem {ee}: y, max {y_max}\n") - * - * elems_in_image += 1 # <<<<<<<<<<<<<< - * - * xi_min: cython.size_t = bound_index_min(x_min) -*/ - __pyx_v_elems_in_image = (__pyx_v_elems_in_image + 1); - - /* "pyvale/sensorsim/cython/rastercyth.py":559 - * elems_in_image += 1 - * - * xi_min: cython.size_t = bound_index_min(x_min) # <<<<<<<<<<<<<< - * xi_max: cython.size_t = bound_index_max(x_max,num_pixels[xx]) - * yi_min: cython.size_t = bound_index_min(y_min) -*/ - __pyx_v_xi_min = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_min(__pyx_v_x_min); - - /* "pyvale/sensorsim/cython/rastercyth.py":560 - * - * xi_min: cython.size_t = bound_index_min(x_min) - * xi_max: cython.size_t = bound_index_max(x_max,num_pixels[xx]) # <<<<<<<<<<<<<< - * yi_min: cython.size_t = bound_index_min(y_min) - * yi_max: cython.size_t = bound_index_max(y_max,num_pixels[yy]) -*/ - __pyx_t_4 = __pyx_v_xx; - __pyx_v_xi_max = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_max(__pyx_v_x_max, (*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_4 * __pyx_v_num_pixels.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":561 - * xi_min: cython.size_t = bound_index_min(x_min) - * xi_max: cython.size_t = bound_index_max(x_max,num_pixels[xx]) - * yi_min: cython.size_t = bound_index_min(y_min) # <<<<<<<<<<<<<< - * yi_max: cython.size_t = bound_index_max(y_max,num_pixels[yy]) - * -*/ - __pyx_v_yi_min = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_min(__pyx_v_y_min); - - /* "pyvale/sensorsim/cython/rastercyth.py":562 - * xi_max: cython.size_t = bound_index_max(x_max,num_pixels[xx]) - * yi_min: cython.size_t = bound_index_min(y_min) - * yi_max: cython.size_t = bound_index_max(y_max,num_pixels[yy]) # <<<<<<<<<<<<<< - * - * # print(f"Elem {ee}: xi, min {xi_min}") -*/ - __pyx_t_4 = __pyx_v_yy; - __pyx_v_yi_max = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_max(__pyx_v_y_max, (*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_4 * __pyx_v_num_pixels.strides[0]) )))); - - /* "pyvale/sensorsim/cython/rastercyth.py":569 - * # print(f"Elem {ee}: yi, max {yi_max}\n") - * - * for nn in range(nodes_per_elem): # <<<<<<<<<<<<<< - * nodes_raster_buff[nn,zz] = 1/nodes_raster_buff[nn,zz] - * -*/ - __pyx_t_4 = __pyx_v_nodes_per_elem; - __pyx_t_5 = __pyx_t_4; - for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { - __pyx_v_nn = __pyx_t_6; - - /* "pyvale/sensorsim/cython/rastercyth.py":570 - * - * for nn in range(nodes_per_elem): - * nodes_raster_buff[nn,zz] = 1/nodes_raster_buff[nn,zz] # <<<<<<<<<<<<<< - * - * num_bound_x: cython.size_t = range_len_double(float(xi_min), -*/ - __pyx_t_8 = __pyx_v_nn; - __pyx_t_7 = __pyx_v_zz; - __pyx_t_14 = __pyx_v_nn; - __pyx_t_15 = __pyx_v_zz; - *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_nodes_raster_buff.data + __pyx_t_14 * __pyx_v_nodes_raster_buff.strides[0]) ) + __pyx_t_15 * __pyx_v_nodes_raster_buff.strides[1]) )) = (1.0 / (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_nodes_raster_buff.data + __pyx_t_8 * __pyx_v_nodes_raster_buff.strides[0]) ) + __pyx_t_7 * __pyx_v_nodes_raster_buff.strides[1]) )))); - } - - /* "pyvale/sensorsim/cython/rastercyth.py":572 - * nodes_raster_buff[nn,zz] = 1/nodes_raster_buff[nn,zz] - * - * num_bound_x: cython.size_t = range_len_double(float(xi_min), # <<<<<<<<<<<<<< - * float(xi_max), - * coord_step) -*/ - __pyx_v_num_bound_x = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_range_len_double(((double)__pyx_v_xi_min), ((double)__pyx_v_xi_max), __pyx_v_coord_step); - - /* "pyvale/sensorsim/cython/rastercyth.py":575 - * float(xi_max), - * coord_step) - * num_bound_y: cython.size_t = range_len_double(float(yi_min), # <<<<<<<<<<<<<< - * float(yi_max), - * coord_step) -*/ - __pyx_v_num_bound_y = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_range_len_double(((double)__pyx_v_yi_min), ((double)__pyx_v_yi_max), __pyx_v_coord_step); - - /* "pyvale/sensorsim/cython/rastercyth.py":579 - * coord_step) - * - * bound_coord_x: cython.double = float(xi_min) + coord_offset # <<<<<<<<<<<<<< - * bound_coord_y: cython.double = float(yi_min) + coord_offset - * -*/ - __pyx_v_bound_coord_x = (((double)__pyx_v_xi_min) + __pyx_v_coord_offset); - - /* "pyvale/sensorsim/cython/rastercyth.py":580 - * - * bound_coord_x: cython.double = float(xi_min) + coord_offset - * bound_coord_y: cython.double = float(yi_min) + coord_offset # <<<<<<<<<<<<<< - * - * bound_ind_x: cython.size_t = sub_samp*xi_min -*/ - __pyx_v_bound_coord_y = (((double)__pyx_v_yi_min) + __pyx_v_coord_offset); - - /* "pyvale/sensorsim/cython/rastercyth.py":582 - * bound_coord_y: cython.double = float(yi_min) + coord_offset - * - * bound_ind_x: cython.size_t = sub_samp*xi_min # <<<<<<<<<<<<<< - * bound_ind_y: cython.size_t = sub_samp*yi_min - * -*/ - __pyx_v_bound_ind_x = (__pyx_v_sub_samp * __pyx_v_xi_min); - - /* "pyvale/sensorsim/cython/rastercyth.py":583 - * - * bound_ind_x: cython.size_t = sub_samp*xi_min - * bound_ind_y: cython.size_t = sub_samp*yi_min # <<<<<<<<<<<<<< - * - * # print(f"Elem {ee}: bound_coord_x={bound_coord_x}") -*/ - __pyx_v_bound_ind_y = (__pyx_v_sub_samp * __pyx_v_yi_min); - - /* "pyvale/sensorsim/cython/rastercyth.py":595 - * - * - * for jj in range(num_bound_y): # <<<<<<<<<<<<<< - * - * bound_coord_x = float(xi_min) + coord_offset -*/ - __pyx_t_4 = __pyx_v_num_bound_y; - __pyx_t_5 = __pyx_t_4; - for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { - __pyx_v_jj = __pyx_t_6; - - /* "pyvale/sensorsim/cython/rastercyth.py":597 - * for jj in range(num_bound_y): - * - * bound_coord_x = float(xi_min) + coord_offset # <<<<<<<<<<<<<< - * bound_ind_x: cython.size_t = sub_samp*xi_min - * -*/ - __pyx_v_bound_coord_x = (((double)__pyx_v_xi_min) + __pyx_v_coord_offset); - - /* "pyvale/sensorsim/cython/rastercyth.py":598 - * - * bound_coord_x = float(xi_min) + coord_offset - * bound_ind_x: cython.size_t = sub_samp*xi_min # <<<<<<<<<<<<<< - * - * for ii in range(num_bound_x): -*/ - __pyx_v_bound_ind_x = (__pyx_v_sub_samp * __pyx_v_xi_min); - - /* "pyvale/sensorsim/cython/rastercyth.py":600 - * bound_ind_x: cython.size_t = sub_samp*xi_min - * - * for ii in range(num_bound_x): # <<<<<<<<<<<<<< - * - * px_coord_buff[xx] = bound_coord_x -*/ - __pyx_t_7 = __pyx_v_num_bound_x; - __pyx_t_8 = __pyx_t_7; - for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_8; __pyx_t_15+=1) { - __pyx_v_ii = __pyx_t_15; - - /* "pyvale/sensorsim/cython/rastercyth.py":602 - * for ii in range(num_bound_x): - * - * px_coord_buff[xx] = bound_coord_x # <<<<<<<<<<<<<< - * px_coord_buff[yy] = bound_coord_y - * -*/ - __pyx_t_14 = __pyx_v_xx; - *((double *) ( /* dim=0 */ (__pyx_v_px_coord_buff.data + __pyx_t_14 * __pyx_v_px_coord_buff.strides[0]) )) = __pyx_v_bound_coord_x; - - /* "pyvale/sensorsim/cython/rastercyth.py":603 - * - * px_coord_buff[xx] = bound_coord_x - * px_coord_buff[yy] = bound_coord_y # <<<<<<<<<<<<<< - * - * # Check the edge functions for each edge one at a time, as soon -*/ - __pyx_t_14 = __pyx_v_yy; - *((double *) ( /* dim=0 */ (__pyx_v_px_coord_buff.data + __pyx_t_14 * __pyx_v_px_coord_buff.strides[0]) )) = __pyx_v_bound_coord_y; - - /* "pyvale/sensorsim/cython/rastercyth.py":607 - * # Check the edge functions for each edge one at a time, as soon - * # as one is outside we don't need to do anymore work - * weights_buff[0] = edge_function(nodes_raster_buff[1,:], # <<<<<<<<<<<<<< - * nodes_raster_buff[2,:], - * px_coord_buff) -*/ - __pyx_t_9.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_9, 1); - { - Py_ssize_t __pyx_tmp_idx = 1; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_9.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 607, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":608 - * # as one is outside we don't need to do anymore work - * weights_buff[0] = edge_function(nodes_raster_buff[1,:], - * nodes_raster_buff[2,:], # <<<<<<<<<<<<<< - * px_coord_buff) - * if (weights_buff[0] < -tol): -*/ - __pyx_t_10.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_10, 1); - { - Py_ssize_t __pyx_tmp_idx = 2; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_10.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 608, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":607 - * # Check the edge functions for each edge one at a time, as soon - * # as one is outside we don't need to do anymore work - * weights_buff[0] = edge_function(nodes_raster_buff[1,:], # <<<<<<<<<<<<<< - * nodes_raster_buff[2,:], - * px_coord_buff) -*/ - __pyx_t_16 = 0; - *((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) )) = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__pyx_t_9, __pyx_t_10, __pyx_v_px_coord_buff); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; - __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1); - __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":610 - * nodes_raster_buff[2,:], - * px_coord_buff) - * if (weights_buff[0] < -tol): # <<<<<<<<<<<<<< - * bound_coord_x += coord_step - * bound_ind_x += 1 -*/ - __pyx_t_16 = 0; - __pyx_t_12 = ((*((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) ))) < (-__pyx_v_tol)); - if (__pyx_t_12) { - - /* "pyvale/sensorsim/cython/rastercyth.py":611 - * px_coord_buff) - * if (weights_buff[0] < -tol): - * bound_coord_x += coord_step # <<<<<<<<<<<<<< - * bound_ind_x += 1 - * continue -*/ - __pyx_v_bound_coord_x = (__pyx_v_bound_coord_x + __pyx_v_coord_step); - - /* "pyvale/sensorsim/cython/rastercyth.py":612 - * if (weights_buff[0] < -tol): - * bound_coord_x += coord_step - * bound_ind_x += 1 # <<<<<<<<<<<<<< - * continue - * -*/ - __pyx_v_bound_ind_x = (__pyx_v_bound_ind_x + 1); - - /* "pyvale/sensorsim/cython/rastercyth.py":613 - * bound_coord_x += coord_step - * bound_ind_x += 1 - * continue # <<<<<<<<<<<<<< - * - * weights_buff[1] = edge_function(nodes_raster_buff[2,:], -*/ - goto __pyx_L18_continue; - - /* "pyvale/sensorsim/cython/rastercyth.py":610 - * nodes_raster_buff[2,:], - * px_coord_buff) - * if (weights_buff[0] < -tol): # <<<<<<<<<<<<<< - * bound_coord_x += coord_step - * bound_ind_x += 1 -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":615 - * continue - * - * weights_buff[1] = edge_function(nodes_raster_buff[2,:], # <<<<<<<<<<<<<< - * nodes_raster_buff[0,:], - * px_coord_buff) -*/ - __pyx_t_10.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_10, 1); - { - Py_ssize_t __pyx_tmp_idx = 2; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_10.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 615, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":616 - * - * weights_buff[1] = edge_function(nodes_raster_buff[2,:], - * nodes_raster_buff[0,:], # <<<<<<<<<<<<<< - * px_coord_buff) - * if (weights_buff[1] < -tol): -*/ - __pyx_t_9.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_9, 1); - { - Py_ssize_t __pyx_tmp_idx = 0; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_9.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 616, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":615 - * continue - * - * weights_buff[1] = edge_function(nodes_raster_buff[2,:], # <<<<<<<<<<<<<< - * nodes_raster_buff[0,:], - * px_coord_buff) -*/ - __pyx_t_16 = 1; - *((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) )) = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__pyx_t_10, __pyx_t_9, __pyx_v_px_coord_buff); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1); - __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL; - __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":618 - * nodes_raster_buff[0,:], - * px_coord_buff) - * if (weights_buff[1] < -tol): # <<<<<<<<<<<<<< - * bound_coord_x += coord_step - * bound_ind_x += 1 -*/ - __pyx_t_16 = 1; - __pyx_t_12 = ((*((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) ))) < (-__pyx_v_tol)); - if (__pyx_t_12) { - - /* "pyvale/sensorsim/cython/rastercyth.py":619 - * px_coord_buff) - * if (weights_buff[1] < -tol): - * bound_coord_x += coord_step # <<<<<<<<<<<<<< - * bound_ind_x += 1 - * continue -*/ - __pyx_v_bound_coord_x = (__pyx_v_bound_coord_x + __pyx_v_coord_step); - - /* "pyvale/sensorsim/cython/rastercyth.py":620 - * if (weights_buff[1] < -tol): - * bound_coord_x += coord_step - * bound_ind_x += 1 # <<<<<<<<<<<<<< - * continue - * -*/ - __pyx_v_bound_ind_x = (__pyx_v_bound_ind_x + 1); - - /* "pyvale/sensorsim/cython/rastercyth.py":621 - * bound_coord_x += coord_step - * bound_ind_x += 1 - * continue # <<<<<<<<<<<<<< - * - * -*/ - goto __pyx_L18_continue; - - /* "pyvale/sensorsim/cython/rastercyth.py":618 - * nodes_raster_buff[0,:], - * px_coord_buff) - * if (weights_buff[1] < -tol): # <<<<<<<<<<<<<< - * bound_coord_x += coord_step - * bound_ind_x += 1 -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":624 - * - * - * weights_buff[2] = edge_function(nodes_raster_buff[0,:], # <<<<<<<<<<<<<< - * nodes_raster_buff[1,:], - * px_coord_buff) -*/ - __pyx_t_9.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_9, 1); - { - Py_ssize_t __pyx_tmp_idx = 0; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_9.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 624, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":625 - * - * weights_buff[2] = edge_function(nodes_raster_buff[0,:], - * nodes_raster_buff[1,:], # <<<<<<<<<<<<<< - * px_coord_buff) - * if (weights_buff[2] < -tol): -*/ - __pyx_t_10.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_10, 1); - { - Py_ssize_t __pyx_tmp_idx = 1; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1]; -__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_10.suboffsets[0] = -1; - -if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 625, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":624 - * - * - * weights_buff[2] = edge_function(nodes_raster_buff[0,:], # <<<<<<<<<<<<<< - * nodes_raster_buff[1,:], - * px_coord_buff) -*/ - __pyx_t_16 = 2; - *((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) )) = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__pyx_t_9, __pyx_t_10, __pyx_v_px_coord_buff); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1); - __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; - __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1); - __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":627 - * nodes_raster_buff[1,:], - * px_coord_buff) - * if (weights_buff[2] < -tol): # <<<<<<<<<<<<<< - * bound_coord_x += coord_step - * bound_ind_x += 1 -*/ - __pyx_t_16 = 2; - __pyx_t_12 = ((*((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) ))) < (-__pyx_v_tol)); - if (__pyx_t_12) { - - /* "pyvale/sensorsim/cython/rastercyth.py":628 - * px_coord_buff) - * if (weights_buff[2] < -tol): - * bound_coord_x += coord_step # <<<<<<<<<<<<<< - * bound_ind_x += 1 - * continue -*/ - __pyx_v_bound_coord_x = (__pyx_v_bound_coord_x + __pyx_v_coord_step); - - /* "pyvale/sensorsim/cython/rastercyth.py":629 - * if (weights_buff[2] < -tol): - * bound_coord_x += coord_step - * bound_ind_x += 1 # <<<<<<<<<<<<<< - * continue - * -*/ - __pyx_v_bound_ind_x = (__pyx_v_bound_ind_x + 1); - - /* "pyvale/sensorsim/cython/rastercyth.py":630 - * bound_coord_x += coord_step - * bound_ind_x += 1 - * continue # <<<<<<<<<<<<<< - * - * # if (ee%6) == 0: -*/ - goto __pyx_L18_continue; - - /* "pyvale/sensorsim/cython/rastercyth.py":627 - * nodes_raster_buff[1,:], - * px_coord_buff) - * if (weights_buff[2] < -tol): # <<<<<<<<<<<<<< - * bound_coord_x += coord_step - * bound_ind_x += 1 -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":640 - * - * - * for ww in range(nodes_per_elem): # <<<<<<<<<<<<<< - * weights_buff[ww] = weights_buff[ww] / elem_area - * -*/ - __pyx_t_14 = __pyx_v_nodes_per_elem; - __pyx_t_17 = __pyx_t_14; - for (__pyx_t_18 = 0; __pyx_t_18 < __pyx_t_17; __pyx_t_18+=1) { - __pyx_v_ww = __pyx_t_18; - - /* "pyvale/sensorsim/cython/rastercyth.py":641 - * - * for ww in range(nodes_per_elem): - * weights_buff[ww] = weights_buff[ww] / elem_area # <<<<<<<<<<<<<< - * - * weight_dot_nodes: cython.double = vec_dot_double( -*/ - __pyx_t_19 = __pyx_v_ww; - __pyx_t_20 = __pyx_v_ww; - *((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_20 * __pyx_v_weights_buff.strides[0]) )) = ((*((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_19 * __pyx_v_weights_buff.strides[0]) ))) / __pyx_v_elem_area); - } - - /* "pyvale/sensorsim/cython/rastercyth.py":645 - * weight_dot_nodes: cython.double = vec_dot_double( - * weights_buff, - * nodes_raster_buff[:,zz]) # <<<<<<<<<<<<<< - * - * # Check the depth buffer, if the element is behind move on -*/ - __pyx_t_10.data = __pyx_v_nodes_raster_buff.data; - __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview; - __PYX_INC_MEMVIEW(&__pyx_t_10, 1); - __pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[0]; -__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[0]; - __pyx_t_10.suboffsets[0] = -1; - -{ - Py_ssize_t __pyx_tmp_idx = __pyx_v_zz; - Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1]; - __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride; -} - -if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) { - PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'"); - __PYX_ERR(0, 645, __pyx_L1_error) - } - - /* "pyvale/sensorsim/cython/rastercyth.py":643 - * weights_buff[ww] = weights_buff[ww] / elem_area - * - * weight_dot_nodes: cython.double = vec_dot_double( # <<<<<<<<<<<<<< - * weights_buff, - * nodes_raster_buff[:,zz]) -*/ - __pyx_v_weight_dot_nodes = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_dot_double(__pyx_v_weights_buff, __pyx_t_10); - __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1); - __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL; - - /* "pyvale/sensorsim/cython/rastercyth.py":648 - * - * # Check the depth buffer, if the element is behind move on - * px_coord_z: cython.double = 1/weight_dot_nodes # <<<<<<<<<<<<<< - * if px_coord_z >= depth_buff_subpx[bound_ind_y,bound_ind_x]: - * bound_coord_x += coord_step -*/ - __pyx_v_px_coord_z = (1.0 / __pyx_v_weight_dot_nodes); - - /* "pyvale/sensorsim/cython/rastercyth.py":649 - * # Check the depth buffer, if the element is behind move on - * px_coord_z: cython.double = 1/weight_dot_nodes - * if px_coord_z >= depth_buff_subpx[bound_ind_y,bound_ind_x]: # <<<<<<<<<<<<<< - * bound_coord_x += coord_step - * bound_ind_x += 1 -*/ - __pyx_t_14 = __pyx_v_bound_ind_y; - __pyx_t_17 = __pyx_v_bound_ind_x; - __pyx_t_12 = (__pyx_v_px_coord_z >= (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_depth_buff_subpx.data + __pyx_t_14 * __pyx_v_depth_buff_subpx.strides[0]) ) + __pyx_t_17 * __pyx_v_depth_buff_subpx.strides[1]) )))); - if (__pyx_t_12) { - - /* "pyvale/sensorsim/cython/rastercyth.py":650 - * px_coord_z: cython.double = 1/weight_dot_nodes - * if px_coord_z >= depth_buff_subpx[bound_ind_y,bound_ind_x]: - * bound_coord_x += coord_step # <<<<<<<<<<<<<< - * bound_ind_x += 1 - * continue -*/ - __pyx_v_bound_coord_x = (__pyx_v_bound_coord_x + __pyx_v_coord_step); - - /* "pyvale/sensorsim/cython/rastercyth.py":651 - * if px_coord_z >= depth_buff_subpx[bound_ind_y,bound_ind_x]: - * bound_coord_x += coord_step - * bound_ind_x += 1 # <<<<<<<<<<<<<< - * continue - * -*/ - __pyx_v_bound_ind_x = (__pyx_v_bound_ind_x + 1); - - /* "pyvale/sensorsim/cython/rastercyth.py":652 - * bound_coord_x += coord_step - * bound_ind_x += 1 - * continue # <<<<<<<<<<<<<< - * - * # We only need one depth buffer for all fields -*/ - goto __pyx_L18_continue; - - /* "pyvale/sensorsim/cython/rastercyth.py":649 - * # Check the depth buffer, if the element is behind move on - * px_coord_z: cython.double = 1/weight_dot_nodes - * if px_coord_z >= depth_buff_subpx[bound_ind_y,bound_ind_x]: # <<<<<<<<<<<<<< - * bound_coord_x += coord_step - * bound_ind_x += 1 -*/ - } - - /* "pyvale/sensorsim/cython/rastercyth.py":655 - * - * # We only need one depth buffer for all fields - * depth_buff_subpx[bound_ind_y,bound_ind_x] = px_coord_z # <<<<<<<<<<<<<< - * - * for ff in range(fields_num): -*/ - __pyx_t_17 = __pyx_v_bound_ind_y; - __pyx_t_14 = __pyx_v_bound_ind_x; - *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_depth_buff_subpx.data + __pyx_t_17 * __pyx_v_depth_buff_subpx.strides[0]) ) + __pyx_t_14 * __pyx_v_depth_buff_subpx.strides[1]) )) = __pyx_v_px_coord_z; - - /* "pyvale/sensorsim/cython/rastercyth.py":657 - * depth_buff_subpx[bound_ind_y,bound_ind_x] = px_coord_z - * - * for ff in range(fields_num): # <<<<<<<<<<<<<< - * for nn in range(nodes_per_elem): - * -*/ - __pyx_t_14 = __pyx_v_fields_num; - __pyx_t_17 = __pyx_t_14; - for (__pyx_t_18 = 0; __pyx_t_18 < __pyx_t_17; __pyx_t_18+=1) { - __pyx_v_ff = __pyx_t_18; - - /* "pyvale/sensorsim/cython/rastercyth.py":658 - * - * for ff in range(fields_num): - * for nn in range(nodes_per_elem): # <<<<<<<<<<<<<< - * - * field_raster_buff[nn] = (fields_to_render[connect[ee,nn],ff] -*/ - __pyx_t_19 = __pyx_v_nodes_per_elem; - __pyx_t_20 = __pyx_t_19; - for (__pyx_t_21 = 0; __pyx_t_21 < __pyx_t_20; __pyx_t_21+=1) { - __pyx_v_nn = __pyx_t_21; - - /* "pyvale/sensorsim/cython/rastercyth.py":660 - * for nn in range(nodes_per_elem): - * - * field_raster_buff[nn] = (fields_to_render[connect[ee,nn],ff] # <<<<<<<<<<<<<< - * *nodes_raster_buff[nn,zz]) - * -*/ - __pyx_t_22 = __pyx_v_ee; - __pyx_t_23 = __pyx_v_nn; - __pyx_t_24 = (*((size_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_connect.data + __pyx_t_22 * __pyx_v_connect.strides[0]) ) + __pyx_t_23 * __pyx_v_connect.strides[1]) ))); - __pyx_t_25 = __pyx_v_ff; - - /* "pyvale/sensorsim/cython/rastercyth.py":661 - * - * field_raster_buff[nn] = (fields_to_render[connect[ee,nn],ff] - * *nodes_raster_buff[nn,zz]) # <<<<<<<<<<<<<< - * - * px_field: cython.double = (vec_dot_double(field_raster_buff, -*/ - __pyx_t_26 = __pyx_v_nn; - __pyx_t_27 = __pyx_v_zz; - - /* "pyvale/sensorsim/cython/rastercyth.py":660 - * for nn in range(nodes_per_elem): - * - * field_raster_buff[nn] = (fields_to_render[connect[ee,nn],ff] # <<<<<<<<<<<<<< - * *nodes_raster_buff[nn,zz]) - * -*/ - __pyx_t_28 = __pyx_v_nn; - *((double *) ( /* dim=0 */ (__pyx_v_field_raster_buff.data + __pyx_t_28 * __pyx_v_field_raster_buff.strides[0]) )) = ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_fields_to_render.data + __pyx_t_24 * __pyx_v_fields_to_render.strides[0]) ) + __pyx_t_25 * __pyx_v_fields_to_render.strides[1]) ))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_nodes_raster_buff.data + __pyx_t_26 * __pyx_v_nodes_raster_buff.strides[0]) ) + __pyx_t_27 * __pyx_v_nodes_raster_buff.strides[1]) )))); 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-#endif -static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; - -static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { - struct __pyx_memoryview_obj *p; - PyObject *o; - o = __Pyx_AllocateExtensionType(t, 0); - if (unlikely(!o)) return 0; - p = ((struct __pyx_memoryview_obj *)o); - p->__pyx_vtab = __pyx_vtabptr_memoryview; - p->obj = Py_None; Py_INCREF(Py_None); - p->_size = Py_None; Py_INCREF(Py_None); - p->view.obj = NULL; - if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad; - return o; - bad: - Py_DECREF(o); o = 0; - return NULL; -} - -static void __pyx_tp_dealloc_memoryview(PyObject *o) { - struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; - #if CYTHON_USE_TP_FINALIZE - if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && !__Pyx_PyObject_GC_IsFinalized(o)) { - if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_memoryview) { - if (PyObject_CallFinalizerFromDealloc(o)) return; - } - } - #endif - PyObject_GC_UnTrack(o); - { - PyObject *etype, *eval, *etb; - PyErr_Fetch(&etype, &eval, &etb); - __Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1); - __pyx_memoryview___dealloc__(o); - __Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1); - PyErr_Restore(etype, eval, etb); - } - Py_CLEAR(p->obj); - Py_CLEAR(p->_size); - PyTypeObject *tp = Py_TYPE(o); - #if CYTHON_USE_TYPE_SLOTS - (*tp->tp_free)(o); - #else - { - freefunc tp_free = (freefunc)PyType_GetSlot(tp, Py_tp_free); - if (tp_free) tp_free(o); - } - #endif - #if CYTHON_USE_TYPE_SPECS - Py_DECREF(tp); - #endif -} - -static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { - int e; - struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; - { - e = __Pyx_call_type_traverse(o, 1, v, a); - if (e) return e; - } - if (p->obj) { - e = (*v)(p->obj, a); if (e) return e; - } - if (p->_size) { - e = (*v)(p->_size, a); if (e) return e; - } - if (p->view.obj) { - e = (*v)(p->view.obj, a); if (e) return e; - } - return 0; -} - -static int __pyx_tp_clear_memoryview(PyObject *o) { - PyObject* tmp; - struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; - tmp = ((PyObject*)p->obj); - p->obj = Py_None; Py_INCREF(Py_None); - Py_XDECREF(tmp); - tmp = ((PyObject*)p->_size); - p->_size = Py_None; Py_INCREF(Py_None); - Py_XDECREF(tmp); - Py_CLEAR(p->view.obj); - return 0; -} - -static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { - PyObject *r; - PyObject *x = PyLong_FromSsize_t(i); if(!x) return 0; - #if CYTHON_USE_TYPE_SLOTS || (!CYTHON_USE_TYPE_SPECS && __PYX_LIMITED_VERSION_HEX < 0x030A0000) - r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); - #else - r = ((binaryfunc)PyType_GetSlot(Py_TYPE(o), Py_mp_subscript))(o, x); - #endif - Py_DECREF(x); - return r; -} - -static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { - if (v) { - return __pyx_memoryview___setitem__(o, i, v); - } - else { - __Pyx_TypeName o_type_name; - o_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(o)); - PyErr_Format(PyExc_NotImplementedError, - "Subscript deletion not supported by " __Pyx_FMT_TYPENAME, o_type_name); - __Pyx_DECREF_TypeName(o_type_name); - return -1; - } -} - -static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o); -} - -static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { - return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o); -} - -static PyMethodDef __pyx_methods_memoryview[] = { - {"is_c_contig", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_is_c_contig, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"is_f_contig", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_is_f_contig, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"copy_fortran", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_memoryview_copy_fortran, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"__reduce_cython__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryview_1__reduce_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {"__setstate_cython__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw___pyx_memoryview_3__setstate_cython__, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0}, - {0, 0, 0, 0} -}; - -static struct PyGetSetDef __pyx_getsets_memoryview[] = { - {"T", __pyx_getprop___pyx_memoryview_T, 0, 0, 0}, - {"base", __pyx_getprop___pyx_memoryview_base, 0, 0, 0}, - {"shape", __pyx_getprop___pyx_memoryview_shape, 0, 0, 0}, - {"strides", __pyx_getprop___pyx_memoryview_strides, 0, 0, 0}, - {"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, 0, 0}, - {"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, 0, 0}, - {"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, 0, 0}, - {"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, 0, 0}, - {"size", __pyx_getprop___pyx_memoryview_size, 0, 0, 0}, - {0, 0, 0, 0, 0} -}; -#if CYTHON_USE_TYPE_SPECS -#if !CYTHON_COMPILING_IN_LIMITED_API - -static PyBufferProcs __pyx_tp_as_buffer_memoryview = { - __pyx_memoryview_getbuffer, /*bf_getbuffer*/ - 0, /*bf_releasebuffer*/ -}; -#endif -static PyType_Slot __pyx_type___pyx_memoryview_slots[] = { - {Py_tp_dealloc, (void *)__pyx_tp_dealloc_memoryview}, - {Py_tp_repr, (void *)__pyx_memoryview___repr__}, - {Py_sq_length, (void *)__pyx_memoryview___len__}, - {Py_sq_item, (void *)__pyx_sq_item_memoryview}, - {Py_mp_length, (void *)__pyx_memoryview___len__}, - {Py_mp_subscript, (void *)__pyx_memoryview___getitem__}, - {Py_mp_ass_subscript, (void *)__pyx_mp_ass_subscript_memoryview}, - {Py_tp_str, (void *)__pyx_memoryview___str__}, - #if defined(Py_bf_getbuffer) - {Py_bf_getbuffer, (void *)__pyx_memoryview_getbuffer}, - #endif - {Py_tp_traverse, (void *)__pyx_tp_traverse_memoryview}, - {Py_tp_clear, (void *)__pyx_tp_clear_memoryview}, - {Py_tp_methods, (void *)__pyx_methods_memoryview}, - {Py_tp_getset, (void *)__pyx_getsets_memoryview}, - {Py_tp_new, (void *)__pyx_tp_new_memoryview}, - {0, 0}, -}; 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- -static PyTypeObject __pyx_type___pyx_memoryview = { - PyVarObject_HEAD_INIT(0, 0) - "pyvale.sensorsim.cython.rastercyth.""memoryview", /*tp_name*/ - sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ - 0, /*tp_itemsize*/ - __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ - 0, /*tp_vectorcall_offset*/ - 0, /*tp_getattr*/ - 0, /*tp_setattr*/ - 0, /*tp_as_async*/ - __pyx_memoryview___repr__, /*tp_repr*/ - 0, /*tp_as_number*/ - &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ - &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ - 0, /*tp_hash*/ - 0, /*tp_call*/ - __pyx_memoryview___str__, /*tp_str*/ - 0, /*tp_getattro*/ - 0, /*tp_setattro*/ - &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ - Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ - 0, /*tp_doc*/ - __pyx_tp_traverse_memoryview, /*tp_traverse*/ - __pyx_tp_clear_memoryview, /*tp_clear*/ - 0, /*tp_richcompare*/ - 0, /*tp_weaklistoffset*/ - 0, /*tp_iter*/ - 0, /*tp_iternext*/ - __pyx_methods_memoryview, /*tp_methods*/ - 0, /*tp_members*/ - __pyx_getsets_memoryview, /*tp_getset*/ - 0, /*tp_base*/ - 0, /*tp_dict*/ - 0, /*tp_descr_get*/ - 0, /*tp_descr_set*/ - #if !CYTHON_USE_TYPE_SPECS - 0, /*tp_dictoffset*/ - #endif - 0, /*tp_init*/ - 0, /*tp_alloc*/ - __pyx_tp_new_memoryview, /*tp_new*/ - 0, /*tp_free*/ - 0, /*tp_is_gc*/ - 0, /*tp_bases*/ - 0, /*tp_mro*/ - 0, /*tp_cache*/ - 0, /*tp_subclasses*/ - 0, /*tp_weaklist*/ - 0, /*tp_del*/ - 0, /*tp_version_tag*/ - #if CYTHON_USE_TP_FINALIZE - 0, /*tp_finalize*/ - #else - NULL, /*tp_finalize*/ - #endif - #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 - 0, /*tp_vectorcall*/ - #endif - #if __PYX_NEED_TP_PRINT_SLOT == 1 - 0, /*tp_print*/ - #endif - #if PY_VERSION_HEX >= 0x030C0000 - 0, /*tp_watched*/ - #endif - #if PY_VERSION_HEX >= 0x030d00A4 - 0, /*tp_versions_used*/ - #endif - #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 - 0, /*tp_pypy_flags*/ - #endif -}; 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(PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { - const char *ps1, *ps2; - Py_ssize_t length = PyBytes_GET_SIZE(s1); - if (length != PyBytes_GET_SIZE(s2)) - return (equals == Py_NE); - ps1 = PyBytes_AS_STRING(s1); - ps2 = PyBytes_AS_STRING(s2); - if (ps1[0] != ps2[0]) { - return (equals == Py_NE); - } else if (length == 1) { - return (equals == Py_EQ); - } else { - int result; -#if CYTHON_USE_UNICODE_INTERNALS && (PY_VERSION_HEX < 0x030B0000) - Py_hash_t hash1, hash2; - hash1 = ((PyBytesObject*)s1)->ob_shash; - hash2 = ((PyBytesObject*)s2)->ob_shash; - if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { - return (equals == Py_NE); - } -#endif - result = memcmp(ps1, ps2, (size_t)length); - return (equals == Py_EQ) ? (result == 0) : (result != 0); - } - } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { - return (equals == Py_NE); - } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { - return (equals == Py_NE); - } else { - int result; - PyObject* py_result = PyObject_RichCompare(s1, s2, equals); - if (!py_result) - return -1; - result = __Pyx_PyObject_IsTrue(py_result); - Py_DECREF(py_result); - return result; - } -#endif -} - -/* UnicodeEquals (used by fastcall) */ -static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { -#if CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_COMPILING_IN_GRAAL - return PyObject_RichCompareBool(s1, s2, equals); -#else - int s1_is_unicode, s2_is_unicode; - if (s1 == s2) { - goto return_eq; - } - s1_is_unicode = PyUnicode_CheckExact(s1); - s2_is_unicode = PyUnicode_CheckExact(s2); - if (s1_is_unicode & s2_is_unicode) { - Py_ssize_t length, length2; - int kind; - void *data1, *data2; - #if !CYTHON_COMPILING_IN_LIMITED_API - if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) - return -1; - #endif - length = __Pyx_PyUnicode_GET_LENGTH(s1); - #if !CYTHON_ASSUME_SAFE_SIZE - if (unlikely(length < 0)) return -1; - #endif - length2 = __Pyx_PyUnicode_GET_LENGTH(s2); - #if !CYTHON_ASSUME_SAFE_SIZE - if (unlikely(length2 < 0)) return -1; - #endif - if (length != length2) { - goto return_ne; - } -#if CYTHON_USE_UNICODE_INTERNALS - { - Py_hash_t hash1, hash2; - hash1 = ((PyASCIIObject*)s1)->hash; - hash2 = ((PyASCIIObject*)s2)->hash; - if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { - goto return_ne; - } - } -#endif - kind = __Pyx_PyUnicode_KIND(s1); - if (kind != __Pyx_PyUnicode_KIND(s2)) { - goto return_ne; - } - data1 = __Pyx_PyUnicode_DATA(s1); - data2 = __Pyx_PyUnicode_DATA(s2); - if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { - goto return_ne; - } else if (length == 1) { - goto return_eq; - } else { - int result = memcmp(data1, data2, (size_t)(length * kind)); - return (equals == Py_EQ) ? (result == 0) : (result != 0); - } - } else if ((s1 == Py_None) & s2_is_unicode) { - goto return_ne; - } else if ((s2 == Py_None) & s1_is_unicode) { - goto return_ne; - } else { - int result; - PyObject* py_result = PyObject_RichCompare(s1, s2, equals); - if (!py_result) - return -1; - result = __Pyx_PyObject_IsTrue(py_result); - Py_DECREF(py_result); - return result; - } -return_eq: - return (equals == Py_EQ); -return_ne: - return (equals == Py_NE); -#endif -} - -/* fastcall */ -#if CYTHON_METH_FASTCALL -static CYTHON_INLINE PyObject * __Pyx_GetKwValue_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues, PyObject *s) -{ - Py_ssize_t i, n = __Pyx_PyTuple_GET_SIZE(kwnames); - #if !CYTHON_ASSUME_SAFE_SIZE - if (unlikely(n == -1)) return NULL; - #endif - for (i = 0; i < n; i++) - { - PyObject *namei = __Pyx_PyTuple_GET_ITEM(kwnames, i); - #if !CYTHON_ASSUME_SAFE_MACROS - if (unlikely(!namei)) return NULL; - #endif - if (s == namei) return kwvalues[i]; - } - for (i = 0; i < n; i++) - { - PyObject *namei = __Pyx_PyTuple_GET_ITEM(kwnames, i); - #if !CYTHON_ASSUME_SAFE_MACROS - if (unlikely(!namei)) return NULL; - #endif - int eq = __Pyx_PyUnicode_Equals(s, namei, Py_EQ); - if (unlikely(eq != 0)) { - if (unlikely(eq < 0)) return NULL; - return kwvalues[i]; - } - } - return NULL; -} -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 || CYTHON_COMPILING_IN_LIMITED_API -CYTHON_UNUSED static PyObject *__Pyx_KwargsAsDict_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues) { - Py_ssize_t i, nkwargs; - PyObject *dict; -#if !CYTHON_ASSUME_SAFE_SIZE - nkwargs = PyTuple_Size(kwnames); - if (unlikely(nkwargs < 0)) return NULL; -#else - nkwargs = PyTuple_GET_SIZE(kwnames); -#endif - dict = PyDict_New(); - if (unlikely(!dict)) - return NULL; - for (i=0; itp_call; - if (unlikely(!call)) - return PyObject_Call(func, arg, kw); - if (unlikely(Py_EnterRecursiveCall(" while calling a Python object"))) - return NULL; - result = (*call)(func, arg, kw); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectCallMethO (used by PyObjectFastCall) */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { - PyObject *self, *result; - PyCFunction cfunc; - cfunc = __Pyx_CyOrPyCFunction_GET_FUNCTION(func); - self = __Pyx_CyOrPyCFunction_GET_SELF(func); - if (unlikely(Py_EnterRecursiveCall(" while calling a Python object"))) - return NULL; - result = cfunc(self, arg); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectFastCall (used by PyObjectCallOneArg) */ -#if PY_VERSION_HEX < 0x03090000 || CYTHON_COMPILING_IN_LIMITED_API -static PyObject* __Pyx_PyObject_FastCall_fallback(PyObject *func, PyObject * const*args, size_t nargs, PyObject *kwargs) { - PyObject *argstuple; - PyObject *result = 0; - size_t i; - argstuple = PyTuple_New((Py_ssize_t)nargs); - if (unlikely(!argstuple)) return NULL; - for (i = 0; i < nargs; i++) { - Py_INCREF(args[i]); - if (__Pyx_PyTuple_SET_ITEM(argstuple, (Py_ssize_t)i, args[i]) != (0)) goto bad; - } - result = __Pyx_PyObject_Call(func, argstuple, kwargs); - bad: - Py_DECREF(argstuple); - return result; -} -#endif -#if CYTHON_VECTORCALL && !CYTHON_COMPILING_IN_LIMITED_API - #if PY_VERSION_HEX < 0x03090000 - #define __Pyx_PyVectorcall_Function(callable) _PyVectorcall_Function(callable) - #elif CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE vectorcallfunc __Pyx_PyVectorcall_Function(PyObject *callable) { - PyTypeObject *tp = Py_TYPE(callable); - #if defined(__Pyx_CyFunction_USED) - if (__Pyx_CyFunction_CheckExact(callable)) { - return __Pyx_CyFunction_func_vectorcall(callable); - } - #endif - if (!PyType_HasFeature(tp, Py_TPFLAGS_HAVE_VECTORCALL)) { - return NULL; - } - assert(PyCallable_Check(callable)); - Py_ssize_t offset = tp->tp_vectorcall_offset; - assert(offset > 0); - vectorcallfunc ptr; - memcpy(&ptr, (char *) callable + offset, sizeof(ptr)); - return ptr; -} - #else - #define __Pyx_PyVectorcall_Function(callable) PyVectorcall_Function(callable) - #endif -#endif -static CYTHON_INLINE PyObject* __Pyx_PyObject_FastCallDict(PyObject *func, PyObject *const *args, size_t _nargs, PyObject *kwargs) { - Py_ssize_t nargs = __Pyx_PyVectorcall_NARGS(_nargs); -#if CYTHON_COMPILING_IN_CPYTHON - if (nargs == 0 && kwargs == NULL) { - if (__Pyx_CyOrPyCFunction_Check(func) && likely( __Pyx_CyOrPyCFunction_GET_FLAGS(func) & METH_NOARGS)) - return __Pyx_PyObject_CallMethO(func, NULL); - } - else if (nargs == 1 && kwargs == NULL) { - if (__Pyx_CyOrPyCFunction_Check(func) && likely( __Pyx_CyOrPyCFunction_GET_FLAGS(func) & METH_O)) - return __Pyx_PyObject_CallMethO(func, args[0]); - } -#endif - if (kwargs == NULL) { - #if CYTHON_VECTORCALL - #if CYTHON_COMPILING_IN_LIMITED_API - return PyObject_Vectorcall(func, args, _nargs, NULL); - #else - vectorcallfunc f = __Pyx_PyVectorcall_Function(func); - if (f) { - return f(func, args, _nargs, NULL); - } - #endif - #endif - } - if (nargs == 0) { - return __Pyx_PyObject_Call(func, __pyx_mstate_global->__pyx_empty_tuple, kwargs); - } - #if PY_VERSION_HEX >= 0x03090000 && !CYTHON_COMPILING_IN_LIMITED_API - return PyObject_VectorcallDict(func, args, (size_t)nargs, kwargs); - #else - return __Pyx_PyObject_FastCall_fallback(func, args, (size_t)nargs, kwargs); - #endif -} - -/* PyObjectCallOneArg (used by CallUnboundCMethod0) */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { - PyObject *args[2] = {NULL, arg}; - return __Pyx_PyObject_FastCall(func, args+1, 1 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); -} - -/* PyObjectGetAttrStr (used by UnpackUnboundCMethod) */ -#if CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { - PyTypeObject* tp = Py_TYPE(obj); - if (likely(tp->tp_getattro)) - return tp->tp_getattro(obj, attr_name); - return PyObject_GetAttr(obj, attr_name); -} -#endif - -/* UnpackUnboundCMethod (used by CallUnboundCMethod0) */ -#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030C0000 -static PyObject *__Pyx_SelflessCall(PyObject *method, PyObject *args, PyObject *kwargs) { - PyObject *result; - PyObject *selfless_args = PyTuple_GetSlice(args, 1, PyTuple_Size(args)); - if (unlikely(!selfless_args)) return NULL; - result = PyObject_Call(method, selfless_args, kwargs); - Py_DECREF(selfless_args); - return result; -} -#elif CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x03090000 -static PyObject *__Pyx_SelflessCall(PyObject *method, PyObject **args, Py_ssize_t nargs, PyObject *kwnames) { - return _PyObject_Vectorcall - (method, args ? args+1 : NULL, nargs ? nargs-1 : 0, kwnames); -} -#else -static PyObject *__Pyx_SelflessCall(PyObject *method, PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames) { - return -#if PY_VERSION_HEX < 0x03090000 - _PyObject_Vectorcall -#else - PyObject_Vectorcall -#endif - (method, args ? args+1 : NULL, nargs ? (size_t) nargs-1 : 0, kwnames); -} -#endif -static PyMethodDef __Pyx_UnboundCMethod_Def = { - "CythonUnboundCMethod", - __PYX_REINTERPRET_FUNCION(PyCFunction, __Pyx_SelflessCall), -#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030C0000 - METH_VARARGS | METH_KEYWORDS, -#else - METH_FASTCALL | METH_KEYWORDS, -#endif - NULL -}; -static int __Pyx_TryUnpackUnboundCMethod(__Pyx_CachedCFunction* target) { - PyObject *method, *result=NULL; - method = __Pyx_PyObject_GetAttrStr(target->type, *target->method_name); - if (unlikely(!method)) - return -1; - result = method; -#if CYTHON_COMPILING_IN_CPYTHON - if (likely(__Pyx_TypeCheck(method, &PyMethodDescr_Type))) - { - PyMethodDescrObject *descr = (PyMethodDescrObject*) method; - target->func = descr->d_method->ml_meth; - target->flag = descr->d_method->ml_flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_STACKLESS); - } else -#endif -#if CYTHON_COMPILING_IN_PYPY -#else - if (PyCFunction_Check(method)) -#endif - { - PyObject *self; - int self_found; -#if CYTHON_COMPILING_IN_LIMITED_API || CYTHON_COMPILING_IN_PYPY - self = PyObject_GetAttrString(method, "__self__"); - if (!self) { - PyErr_Clear(); - } -#else - self = PyCFunction_GET_SELF(method); -#endif - self_found = (self && self != Py_None); -#if CYTHON_COMPILING_IN_LIMITED_API || CYTHON_COMPILING_IN_PYPY - Py_XDECREF(self); -#endif - if (self_found) { - PyObject *unbound_method = PyCFunction_New(&__Pyx_UnboundCMethod_Def, method); - if (unlikely(!unbound_method)) return -1; - Py_DECREF(method); - result = unbound_method; - } - } -#if !CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - if (unlikely(target->method)) { - Py_DECREF(result); - } else -#endif - target->method = result; - return 0; -} - -/* CallUnboundCMethod0 */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self) { - int was_initialized = __Pyx_CachedCFunction_GetAndSetInitializing(cfunc); - if (likely(was_initialized == 2 && cfunc->func)) { - if (likely(cfunc->flag == METH_NOARGS)) - return __Pyx_CallCFunction(cfunc, self, NULL); - if (likely(cfunc->flag == METH_FASTCALL)) - return __Pyx_CallCFunctionFast(cfunc, self, NULL, 0); - if (cfunc->flag == (METH_FASTCALL | METH_KEYWORDS)) - return __Pyx_CallCFunctionFastWithKeywords(cfunc, self, NULL, 0, NULL); - if (likely(cfunc->flag == (METH_VARARGS | METH_KEYWORDS))) - return __Pyx_CallCFunctionWithKeywords(cfunc, self, __pyx_mstate_global->__pyx_empty_tuple, NULL); - if (cfunc->flag == METH_VARARGS) - return __Pyx_CallCFunction(cfunc, self, __pyx_mstate_global->__pyx_empty_tuple); - return __Pyx__CallUnboundCMethod0(cfunc, self); - } -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - else if (unlikely(was_initialized == 1)) { - __Pyx_CachedCFunction tmp_cfunc = { -#ifndef __cplusplus - 0 -#endif - }; - tmp_cfunc.type = cfunc->type; - tmp_cfunc.method_name = cfunc->method_name; - return __Pyx__CallUnboundCMethod0(&tmp_cfunc, self); - } -#endif - PyObject *result = __Pyx__CallUnboundCMethod0(cfunc, self); - __Pyx_CachedCFunction_SetFinishedInitializing(cfunc); - return result; -} -#endif -static PyObject* __Pyx__CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self) { - PyObject *result; - if (unlikely(!cfunc->method) && unlikely(__Pyx_TryUnpackUnboundCMethod(cfunc) < 0)) return NULL; - result = __Pyx_PyObject_CallOneArg(cfunc->method, self); - return result; -} - -/* py_dict_items (used by OwnedDictNext) */ -static CYTHON_INLINE PyObject* __Pyx_PyDict_Items(PyObject* d) { - return __Pyx_CallUnboundCMethod0(&__pyx_mstate_global->__pyx_umethod_PyDict_Type_items, d); -} - -/* py_dict_values (used by OwnedDictNext) */ -static CYTHON_INLINE PyObject* __Pyx_PyDict_Values(PyObject* d) { - return __Pyx_CallUnboundCMethod0(&__pyx_mstate_global->__pyx_umethod_PyDict_Type_values, d); -} - -/* OwnedDictNext (used by ParseKeywordsImpl) */ -#if CYTHON_AVOID_BORROWED_REFS -static int __Pyx_PyDict_NextRef(PyObject *p, PyObject **ppos, PyObject **pkey, PyObject **pvalue) { - PyObject *next = NULL; - if (!*ppos) { - if (pvalue) { - PyObject *dictview = pkey ? __Pyx_PyDict_Items(p) : __Pyx_PyDict_Values(p); - if (unlikely(!dictview)) goto bad; - *ppos = PyObject_GetIter(dictview); - Py_DECREF(dictview); - } else { - *ppos = PyObject_GetIter(p); - } - if (unlikely(!*ppos)) goto bad; - } - next = PyIter_Next(*ppos); - if (!next) { - if (PyErr_Occurred()) goto bad; - return 0; - } - if (pkey && pvalue) { - *pkey = __Pyx_PySequence_ITEM(next, 0); - if (unlikely(*pkey)) goto bad; - *pvalue = __Pyx_PySequence_ITEM(next, 1); - if (unlikely(*pvalue)) goto bad; - Py_DECREF(next); - } else if (pkey) { - *pkey = next; - } else { - assert(pvalue); - *pvalue = next; - } - return 1; - bad: - Py_XDECREF(next); -#if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d0000 - PyErr_FormatUnraisable("Exception ignored in __Pyx_PyDict_NextRef"); -#else - PyErr_WriteUnraisable(__pyx_mstate_global->__pyx_n_u_Pyx_PyDict_NextRef); -#endif - if (pkey) *pkey = NULL; - if (pvalue) *pvalue = NULL; - return 0; -} -#else // !CYTHON_AVOID_BORROWED_REFS -static int __Pyx_PyDict_NextRef(PyObject *p, Py_ssize_t *ppos, PyObject **pkey, PyObject **pvalue) { - int result = PyDict_Next(p, ppos, pkey, pvalue); - if (likely(result == 1)) { - if (pkey) Py_INCREF(*pkey); - if (pvalue) Py_INCREF(*pvalue); - } - return result; -} -#endif - -/* RaiseDoubleKeywords (used by ParseKeywordsImpl) */ -static void __Pyx_RaiseDoubleKeywordsError( - const char* func_name, - PyObject* kw_name) -{ - PyErr_Format(PyExc_TypeError, - "%s() got multiple values for keyword argument '%U'", func_name, kw_name); -} - -/* CallUnboundCMethod2 */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject *__Pyx_CallUnboundCMethod2(__Pyx_CachedCFunction *cfunc, PyObject *self, PyObject *arg1, PyObject *arg2) { - int was_initialized = __Pyx_CachedCFunction_GetAndSetInitializing(cfunc); - if (likely(was_initialized == 2 && cfunc->func)) { - PyObject *args[2] = {arg1, arg2}; - if (cfunc->flag == METH_FASTCALL) { - return __Pyx_CallCFunctionFast(cfunc, self, args, 2); - } - if (cfunc->flag == (METH_FASTCALL | METH_KEYWORDS)) - return __Pyx_CallCFunctionFastWithKeywords(cfunc, self, args, 2, NULL); - } -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - else if (unlikely(was_initialized == 1)) { - __Pyx_CachedCFunction tmp_cfunc = { -#ifndef __cplusplus - 0 -#endif - }; - tmp_cfunc.type = cfunc->type; - tmp_cfunc.method_name = cfunc->method_name; - return __Pyx__CallUnboundCMethod2(&tmp_cfunc, self, arg1, arg2); - } -#endif - PyObject *result = __Pyx__CallUnboundCMethod2(cfunc, self, arg1, arg2); - __Pyx_CachedCFunction_SetFinishedInitializing(cfunc); - return result; -} -#endif -static PyObject* __Pyx__CallUnboundCMethod2(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg1, PyObject* arg2){ - if (unlikely(!cfunc->func && !cfunc->method) && unlikely(__Pyx_TryUnpackUnboundCMethod(cfunc) < 0)) return NULL; -#if CYTHON_COMPILING_IN_CPYTHON - if (cfunc->func && (cfunc->flag & METH_VARARGS)) { - PyObject *result = NULL; - PyObject *args = PyTuple_New(2); - if (unlikely(!args)) return NULL; - Py_INCREF(arg1); - PyTuple_SET_ITEM(args, 0, arg1); - Py_INCREF(arg2); - PyTuple_SET_ITEM(args, 1, arg2); - if (cfunc->flag & METH_KEYWORDS) - result = __Pyx_CallCFunctionWithKeywords(cfunc, self, args, NULL); - else - result = __Pyx_CallCFunction(cfunc, self, args); - Py_DECREF(args); - return result; - } -#endif - { - PyObject *args[4] = {NULL, self, arg1, arg2}; - return __Pyx_PyObject_FastCall(cfunc->method, args+1, 3 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); - } -} - -/* ParseKeywordsImpl (used by ParseKeywords) */ -static int __Pyx_ValidateDuplicatePosArgs( - PyObject *kwds, - PyObject ** const argnames[], - PyObject ** const *first_kw_arg, - const char* function_name) -{ - PyObject ** const *name = argnames; - while (name != first_kw_arg) { - PyObject *key = **name; - int found = PyDict_Contains(kwds, key); - if (unlikely(found)) { - if (found == 1) __Pyx_RaiseDoubleKeywordsError(function_name, key); - goto bad; - } - name++; - } - return 0; -bad: - return -1; -} -#if CYTHON_USE_UNICODE_INTERNALS -static CYTHON_INLINE int __Pyx_UnicodeKeywordsEqual(PyObject *s1, PyObject *s2) { - int kind; - Py_ssize_t len = PyUnicode_GET_LENGTH(s1); - if (len != PyUnicode_GET_LENGTH(s2)) return 0; - kind = PyUnicode_KIND(s1); - if (kind != PyUnicode_KIND(s2)) return 0; - const void *data1 = PyUnicode_DATA(s1); - const void *data2 = PyUnicode_DATA(s2); - return (memcmp(data1, data2, (size_t) len * (size_t) kind) == 0); -} -#endif -static int __Pyx_MatchKeywordArg_str( - PyObject *key, - PyObject ** const argnames[], - PyObject ** const *first_kw_arg, - size_t *index_found, - const char *function_name) -{ - PyObject ** const *name; - #if CYTHON_USE_UNICODE_INTERNALS - Py_hash_t key_hash = ((PyASCIIObject*)key)->hash; - if (unlikely(key_hash == -1)) { - key_hash = PyObject_Hash(key); - if (unlikely(key_hash == -1)) - goto bad; - } - #endif - name = first_kw_arg; - while (*name) { - PyObject *name_str = **name; - #if CYTHON_USE_UNICODE_INTERNALS - if (key_hash == ((PyASCIIObject*)name_str)->hash && __Pyx_UnicodeKeywordsEqual(name_str, key)) { - *index_found = (size_t) (name - argnames); - return 1; - } - #else - #if CYTHON_ASSUME_SAFE_SIZE - if (PyUnicode_GET_LENGTH(name_str) == PyUnicode_GET_LENGTH(key)) - #endif - { - int cmp = PyUnicode_Compare(name_str, key); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) { - *index_found = (size_t) (name - argnames); - return 1; - } - } - #endif - name++; - } - name = argnames; - while (name != first_kw_arg) { - PyObject *name_str = **name; - #if CYTHON_USE_UNICODE_INTERNALS - if (unlikely(key_hash == ((PyASCIIObject*)name_str)->hash)) { - if (__Pyx_UnicodeKeywordsEqual(name_str, key)) - goto arg_passed_twice; - } - #else - #if CYTHON_ASSUME_SAFE_SIZE - if (PyUnicode_GET_LENGTH(name_str) == PyUnicode_GET_LENGTH(key)) - #endif - { - if (unlikely(name_str == key)) goto arg_passed_twice; - int cmp = PyUnicode_Compare(name_str, key); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) goto arg_passed_twice; - } - #endif - name++; - } - return 0; -arg_passed_twice: - __Pyx_RaiseDoubleKeywordsError(function_name, key); - goto bad; -bad: - return -1; -} -static int __Pyx_MatchKeywordArg_nostr( - PyObject *key, - PyObject ** const argnames[], - PyObject ** const *first_kw_arg, - size_t *index_found, - const char *function_name) -{ - PyObject ** const *name; - if (unlikely(!PyUnicode_Check(key))) goto invalid_keyword_type; - name = first_kw_arg; - while (*name) { - int cmp = PyObject_RichCompareBool(**name, key, Py_EQ); - if (cmp == 1) { - *index_found = (size_t) (name - argnames); - return 1; - } - if (unlikely(cmp == -1)) goto bad; - name++; - } - name = argnames; - while (name != first_kw_arg) { - int cmp = PyObject_RichCompareBool(**name, key, Py_EQ); - if (unlikely(cmp != 0)) { - if (cmp == 1) goto arg_passed_twice; - else goto bad; - } - name++; - } - return 0; -arg_passed_twice: - __Pyx_RaiseDoubleKeywordsError(function_name, key); - goto bad; -invalid_keyword_type: - PyErr_Format(PyExc_TypeError, - "%.200s() keywords must be strings", function_name); - goto bad; -bad: - return -1; -} -static CYTHON_INLINE int __Pyx_MatchKeywordArg( - PyObject *key, - PyObject ** const argnames[], - PyObject ** const *first_kw_arg, - size_t *index_found, - const char *function_name) -{ - return likely(PyUnicode_CheckExact(key)) ? - __Pyx_MatchKeywordArg_str(key, argnames, first_kw_arg, index_found, function_name) : - __Pyx_MatchKeywordArg_nostr(key, argnames, first_kw_arg, index_found, function_name); -} -static void __Pyx_RejectUnknownKeyword( - PyObject *kwds, - PyObject ** const argnames[], - PyObject ** const *first_kw_arg, - const char *function_name) -{ - #if CYTHON_AVOID_BORROWED_REFS - PyObject *pos = NULL; - #else - Py_ssize_t pos = 0; - #endif - PyObject *key = NULL; - __Pyx_BEGIN_CRITICAL_SECTION(kwds); - while ( - #if CYTHON_AVOID_BORROWED_REFS - __Pyx_PyDict_NextRef(kwds, &pos, &key, NULL) - #else - PyDict_Next(kwds, &pos, &key, NULL) - #endif - ) { - PyObject** const *name = first_kw_arg; - while (*name && (**name != key)) name++; - if (!*name) { - size_t index_found = 0; - int cmp = __Pyx_MatchKeywordArg(key, argnames, first_kw_arg, &index_found, function_name); - if (cmp != 1) { - if (cmp == 0) { - PyErr_Format(PyExc_TypeError, - "%s() got an unexpected keyword argument '%U'", - function_name, key); - } - #if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(key); - #endif - break; - } - } - #if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(key); - #endif - } - __Pyx_END_CRITICAL_SECTION(); - #if CYTHON_AVOID_BORROWED_REFS - Py_XDECREF(pos); - #endif - assert(PyErr_Occurred()); -} -static int __Pyx_ParseKeywordDict( - PyObject *kwds, - PyObject ** const argnames[], - PyObject *values[], - Py_ssize_t num_pos_args, - Py_ssize_t num_kwargs, - const char* function_name, - int ignore_unknown_kwargs) -{ - PyObject** const *name; - PyObject** const *first_kw_arg = argnames + num_pos_args; - Py_ssize_t extracted = 0; -#if !CYTHON_COMPILING_IN_PYPY || defined(PyArg_ValidateKeywordArguments) - if (unlikely(!PyArg_ValidateKeywordArguments(kwds))) return -1; -#endif - name = first_kw_arg; - while (*name && num_kwargs > extracted) { - PyObject * key = **name; - PyObject *value; - int found = 0; - #if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 - found = PyDict_GetItemRef(kwds, key, &value); - #else - value = PyDict_GetItemWithError(kwds, key); - if (value) { - Py_INCREF(value); - found = 1; - } else { - if (unlikely(PyErr_Occurred())) goto bad; - } - #endif - if (found) { - if (unlikely(found < 0)) goto bad; - values[name-argnames] = value; - extracted++; - } - name++; - } - if (num_kwargs > extracted) { - if (ignore_unknown_kwargs) { - if (unlikely(__Pyx_ValidateDuplicatePosArgs(kwds, argnames, first_kw_arg, function_name) == -1)) - goto bad; - } else { - __Pyx_RejectUnknownKeyword(kwds, argnames, first_kw_arg, function_name); - goto bad; - } - } - return 0; -bad: - return -1; -} -static int __Pyx_ParseKeywordDictToDict( - PyObject *kwds, - PyObject ** const argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - const char* function_name) -{ - PyObject** const *name; - PyObject** const *first_kw_arg = argnames + num_pos_args; - Py_ssize_t len; -#if !CYTHON_COMPILING_IN_PYPY || defined(PyArg_ValidateKeywordArguments) - if (unlikely(!PyArg_ValidateKeywordArguments(kwds))) return -1; -#endif - if (PyDict_Update(kwds2, kwds) < 0) goto bad; - name = first_kw_arg; - while (*name) { - PyObject *key = **name; - PyObject *value; -#if !CYTHON_COMPILING_IN_LIMITED_API && (PY_VERSION_HEX >= 0x030d00A2 || defined(PyDict_Pop)) - int found = PyDict_Pop(kwds2, key, &value); - if (found) { - if (unlikely(found < 0)) goto bad; - values[name-argnames] = value; - } -#elif __PYX_LIMITED_VERSION_HEX >= 0x030d0000 - int found = PyDict_GetItemRef(kwds2, key, &value); - if (found) { - if (unlikely(found < 0)) goto bad; - values[name-argnames] = value; - if (unlikely(PyDict_DelItem(kwds2, key) < 0)) goto bad; - } -#else - #if CYTHON_COMPILING_IN_CPYTHON - value = _PyDict_Pop(kwds2, key, kwds2); - #else - value = __Pyx_CallUnboundCMethod2(&__pyx_mstate_global->__pyx_umethod_PyDict_Type_pop, kwds2, key, kwds2); - #endif - if (value == kwds2) { - Py_DECREF(value); - } else { - if (unlikely(!value)) goto bad; - values[name-argnames] = value; - } -#endif - name++; - } - len = PyDict_Size(kwds2); - if (len > 0) { - return __Pyx_ValidateDuplicatePosArgs(kwds, argnames, first_kw_arg, function_name); - } else if (unlikely(len == -1)) { - goto bad; - } - return 0; -bad: - return -1; -} -static int __Pyx_ParseKeywordsTuple( - PyObject *kwds, - PyObject * const *kwvalues, - PyObject ** const argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - Py_ssize_t num_kwargs, - const char* function_name, - int ignore_unknown_kwargs) -{ - PyObject *key = NULL; - PyObject** const * name; - PyObject** const *first_kw_arg = argnames + num_pos_args; - for (Py_ssize_t pos = 0; pos < num_kwargs; pos++) { -#if CYTHON_AVOID_BORROWED_REFS - key = __Pyx_PySequence_ITEM(kwds, pos); -#else - key = __Pyx_PyTuple_GET_ITEM(kwds, pos); -#endif -#if !CYTHON_ASSUME_SAFE_MACROS - if (unlikely(!key)) goto bad; -#endif - name = first_kw_arg; - while (*name && (**name != key)) name++; - if (*name) { - PyObject *value = kwvalues[pos]; - values[name-argnames] = __Pyx_NewRef(value); - } else { - size_t index_found = 0; - int cmp = __Pyx_MatchKeywordArg(key, argnames, first_kw_arg, &index_found, function_name); - if (cmp == 1) { - PyObject *value = kwvalues[pos]; - values[index_found] = __Pyx_NewRef(value); - } else { - if (unlikely(cmp == -1)) goto bad; - if (kwds2) { - PyObject *value = kwvalues[pos]; - if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; - } else if (!ignore_unknown_kwargs) { - goto invalid_keyword; - } - } - } - #if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(key); - key = NULL; - #endif - } - return 0; -invalid_keyword: - PyErr_Format(PyExc_TypeError, - "%s() got an unexpected keyword argument '%U'", - function_name, key); - goto bad; -bad: - #if CYTHON_AVOID_BORROWED_REFS - Py_XDECREF(key); - #endif - return -1; -} - -/* ParseKeywords */ -static int __Pyx_ParseKeywords( - PyObject *kwds, - PyObject * const *kwvalues, - PyObject ** const argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - Py_ssize_t num_kwargs, - const char* function_name, - int ignore_unknown_kwargs) -{ - if (CYTHON_METH_FASTCALL && likely(PyTuple_Check(kwds))) - return __Pyx_ParseKeywordsTuple(kwds, kwvalues, argnames, kwds2, values, num_pos_args, num_kwargs, function_name, ignore_unknown_kwargs); - else if (kwds2) - return __Pyx_ParseKeywordDictToDict(kwds, argnames, kwds2, values, num_pos_args, function_name); - else - return __Pyx_ParseKeywordDict(kwds, argnames, values, num_pos_args, num_kwargs, function_name, ignore_unknown_kwargs); -} - -/* RaiseArgTupleInvalid */ -static void __Pyx_RaiseArgtupleInvalid( - const char* func_name, - int exact, - Py_ssize_t num_min, - Py_ssize_t num_max, - Py_ssize_t num_found) -{ - Py_ssize_t num_expected; - const char *more_or_less; - if (num_found < num_min) { - num_expected = num_min; - more_or_less = "at least"; - } else { - num_expected = num_max; - more_or_less = "at most"; - } - if (exact) { - more_or_less = "exactly"; - } - PyErr_Format(PyExc_TypeError, - "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)", - func_name, more_or_less, num_expected, - (num_expected == 1) ? "" : "s", num_found); -} - -/* ArgTypeTestFunc (used by ArgTypeTest) */ -static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) -{ - __Pyx_TypeName type_name; - __Pyx_TypeName obj_type_name; - PyObject *extra_info = __pyx_mstate_global->__pyx_empty_unicode; - int from_annotation_subclass = 0; - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - else if (!exact) { - if (likely(__Pyx_TypeCheck(obj, type))) return 1; - } else if (exact == 2) { - if (__Pyx_TypeCheck(obj, type)) { - from_annotation_subclass = 1; - extra_info = __pyx_mstate_global->__pyx_kp_u_Note_that_Cython_is_deliberately; - } - } - type_name = __Pyx_PyType_GetFullyQualifiedName(type); - obj_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "Argument '%.200s' has incorrect type (expected " __Pyx_FMT_TYPENAME - ", got " __Pyx_FMT_TYPENAME ")" -#if __PYX_LIMITED_VERSION_HEX < 0x030C0000 - "%s%U" -#endif - , name, type_name, obj_type_name -#if __PYX_LIMITED_VERSION_HEX < 0x030C0000 - , (from_annotation_subclass ? ". " : ""), extra_info -#endif - ); -#if __PYX_LIMITED_VERSION_HEX >= 0x030C0000 - if (exact == 2 && from_annotation_subclass) { - PyObject *res; - PyObject *vargs[2]; - vargs[0] = PyErr_GetRaisedException(); - vargs[1] = extra_info; - res = PyObject_VectorcallMethod(__pyx_mstate_global->__pyx_kp_u_add_note, vargs, 2, NULL); - Py_XDECREF(res); - PyErr_SetRaisedException(vargs[0]); - } -#endif - __Pyx_DECREF_TypeName(type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return 0; -} - -/* PyErrExceptionMatches (used by PyObjectGetAttrStrNoError) */ -#if CYTHON_FAST_THREAD_STATE -static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(tuple); - for (i=0; i= 0x030C00A6 - PyObject *current_exception = tstate->current_exception; - if (unlikely(!current_exception)) return 0; - exc_type = (PyObject*) Py_TYPE(current_exception); - if (exc_type == err) return 1; -#else - exc_type = tstate->curexc_type; - if (exc_type == err) return 1; - if (unlikely(!exc_type)) return 0; -#endif - #if CYTHON_AVOID_BORROWED_REFS - Py_INCREF(exc_type); - #endif - if (unlikely(PyTuple_Check(err))) { - result = __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err); - } else { - result = __Pyx_PyErr_GivenExceptionMatches(exc_type, err); - } - #if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(exc_type); - #endif - return result; -} -#endif - -/* PyErrFetchRestore (used by PyObjectGetAttrStrNoError) */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { -#if PY_VERSION_HEX >= 0x030C00A6 - PyObject *tmp_value; - assert(type == NULL || (value != NULL && type == (PyObject*) Py_TYPE(value))); - if (value) { - #if CYTHON_COMPILING_IN_CPYTHON - if (unlikely(((PyBaseExceptionObject*) value)->traceback != tb)) - #endif - PyException_SetTraceback(value, tb); - } - tmp_value = tstate->current_exception; - tstate->current_exception = value; - Py_XDECREF(tmp_value); - Py_XDECREF(type); - Py_XDECREF(tb); -#else - PyObject *tmp_type, *tmp_value, *tmp_tb; - tmp_type = tstate->curexc_type; - tmp_value = tstate->curexc_value; - tmp_tb = tstate->curexc_traceback; - tstate->curexc_type = type; - tstate->curexc_value = value; - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -#endif -} -static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { -#if PY_VERSION_HEX >= 0x030C00A6 - PyObject* exc_value; - exc_value = tstate->current_exception; - tstate->current_exception = 0; - *value = exc_value; - *type = NULL; - *tb = NULL; - if (exc_value) { - *type = (PyObject*) Py_TYPE(exc_value); - Py_INCREF(*type); - #if CYTHON_COMPILING_IN_CPYTHON - *tb = ((PyBaseExceptionObject*) exc_value)->traceback; - Py_XINCREF(*tb); - #else - *tb = PyException_GetTraceback(exc_value); - #endif - } -#else - *type = tstate->curexc_type; - *value = tstate->curexc_value; - *tb = tstate->curexc_traceback; - tstate->curexc_type = 0; - tstate->curexc_value = 0; - tstate->curexc_traceback = 0; -#endif -} -#endif - -/* PyObjectGetAttrStrNoError (used by GetBuiltinName) */ -#if __PYX_LIMITED_VERSION_HEX < 0x030d0000 -static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) { - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) - __Pyx_PyErr_Clear(); -} -#endif -static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) { - PyObject *result; -#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 - (void) PyObject_GetOptionalAttr(obj, attr_name, &result); - return result; -#else -#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS - PyTypeObject* tp = Py_TYPE(obj); - if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) { - return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1); - } -#endif - result = __Pyx_PyObject_GetAttrStr(obj, attr_name); - if (unlikely(!result)) { - __Pyx_PyObject_GetAttrStr_ClearAttributeError(); - } - return result; -#endif -} - -/* GetBuiltinName */ -static PyObject *__Pyx_GetBuiltinName(PyObject *name) { - PyObject* result = __Pyx_PyObject_GetAttrStrNoError(__pyx_mstate_global->__pyx_b, name); - if (unlikely(!result) && !PyErr_Occurred()) { - PyErr_Format(PyExc_NameError, - "name '%U' is not defined", name); - } - return result; -} - -/* RaiseException */ -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { - PyObject* owned_instance = NULL; - if (tb == Py_None) { - tb = 0; - } else if (tb && !PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto bad; - } - if (value == Py_None) - value = 0; - if (PyExceptionInstance_Check(type)) { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto bad; - } - value = type; - type = (PyObject*) Py_TYPE(value); - } else if (PyExceptionClass_Check(type)) { - PyObject *instance_class = NULL; - if (value && PyExceptionInstance_Check(value)) { - instance_class = (PyObject*) Py_TYPE(value); - if (instance_class != type) { - int is_subclass = PyObject_IsSubclass(instance_class, type); - if (!is_subclass) { - instance_class = NULL; - } else if (unlikely(is_subclass == -1)) { - goto bad; - } else { - type = instance_class; - } - } - } - if (!instance_class) { - PyObject *args; - if (!value) - args = PyTuple_New(0); - else if (PyTuple_Check(value)) { - Py_INCREF(value); - args = value; - } else - args = PyTuple_Pack(1, value); - if (!args) - goto bad; - owned_instance = PyObject_Call(type, args, NULL); - Py_DECREF(args); - if (!owned_instance) - goto bad; - value = owned_instance; - if (!PyExceptionInstance_Check(value)) { - PyErr_Format(PyExc_TypeError, - "calling %R should have returned an instance of " - "BaseException, not %R", - type, Py_TYPE(value)); - goto bad; - } - } - } else { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto bad; - } - if (cause) { - PyObject *fixed_cause; - if (cause == Py_None) { - fixed_cause = NULL; - } else if (PyExceptionClass_Check(cause)) { - fixed_cause = PyObject_CallObject(cause, NULL); - if (fixed_cause == NULL) - goto bad; - } else if (PyExceptionInstance_Check(cause)) { - fixed_cause = cause; - Py_INCREF(fixed_cause); - } else { - PyErr_SetString(PyExc_TypeError, - "exception causes must derive from " - "BaseException"); - goto bad; - } - PyException_SetCause(value, fixed_cause); - } - PyErr_SetObject(type, value); - if (tb) { -#if PY_VERSION_HEX >= 0x030C00A6 - PyException_SetTraceback(value, tb); -#elif CYTHON_FAST_THREAD_STATE - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject* tmp_tb = tstate->curexc_traceback; - if (tb != tmp_tb) { - Py_INCREF(tb); - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_tb); - } -#else - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); - Py_INCREF(tb); - PyErr_Restore(tmp_type, tmp_value, tb); - Py_XDECREF(tmp_tb); -#endif - } -bad: - Py_XDECREF(owned_instance); - return; -} - -/* PyObjectFastCallMethod */ -#if !CYTHON_VECTORCALL || PY_VERSION_HEX < 0x03090000 -static PyObject *__Pyx_PyObject_FastCallMethod(PyObject *name, PyObject *const *args, size_t nargsf) { - PyObject *result; - PyObject *attr = PyObject_GetAttr(args[0], name); - if (unlikely(!attr)) - return NULL; - result = __Pyx_PyObject_FastCall(attr, args+1, nargsf - 1); - Py_DECREF(attr); - return result; -} -#endif - -/* RaiseUnexpectedTypeError */ -static int -__Pyx_RaiseUnexpectedTypeError(const char *expected, PyObject *obj) -{ - __Pyx_TypeName obj_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, "Expected %s, got " __Pyx_FMT_TYPENAME, - expected, obj_type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return 0; -} - -/* CIntToDigits (used by CIntToPyUnicode) */ -static const char DIGIT_PAIRS_10[2*10*10+1] = { - "00010203040506070809" - "10111213141516171819" - "20212223242526272829" - "30313233343536373839" - "40414243444546474849" - "50515253545556575859" - "60616263646566676869" - "70717273747576777879" - "80818283848586878889" - "90919293949596979899" -}; -static const char DIGIT_PAIRS_8[2*8*8+1] = { - "0001020304050607" - "1011121314151617" - "2021222324252627" - "3031323334353637" - "4041424344454647" - "5051525354555657" - "6061626364656667" - "7071727374757677" -}; -static const char DIGITS_HEX[2*16+1] = { - "0123456789abcdef" - "0123456789ABCDEF" -}; - -/* BuildPyUnicode (used by COrdinalToPyUnicode) */ -static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, const char* chars, int clength, - int prepend_sign, char padding_char) { - PyObject *uval; - Py_ssize_t uoffset = ulength - clength; -#if CYTHON_USE_UNICODE_INTERNALS - Py_ssize_t i; - void *udata; - uval = PyUnicode_New(ulength, 127); - if (unlikely(!uval)) return NULL; - udata = PyUnicode_DATA(uval); - if (uoffset > 0) { - i = 0; - if (prepend_sign) { - __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, 0, '-'); - i++; - } - for (; i < uoffset; i++) { - __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, i, padding_char); - } - } - for (i=0; i < clength; i++) { - __Pyx_PyUnicode_WRITE(PyUnicode_1BYTE_KIND, udata, uoffset+i, chars[i]); - } -#else - { - PyObject *sign = NULL, *padding = NULL; - uval = NULL; - if (uoffset > 0) { - prepend_sign = !!prepend_sign; - if (uoffset > prepend_sign) { - padding = PyUnicode_FromOrdinal(padding_char); - if (likely(padding) && uoffset > prepend_sign + 1) { - PyObject *tmp = PySequence_Repeat(padding, uoffset - prepend_sign); - Py_DECREF(padding); - padding = tmp; - } - if (unlikely(!padding)) goto done_or_error; - } - if (prepend_sign) { - sign = PyUnicode_FromOrdinal('-'); - if (unlikely(!sign)) goto done_or_error; - } - } - uval = PyUnicode_DecodeASCII(chars, clength, NULL); - if (likely(uval) && padding) { - PyObject *tmp = PyUnicode_Concat(padding, uval); - Py_DECREF(uval); - uval = tmp; - } - if (likely(uval) && sign) { - PyObject *tmp = PyUnicode_Concat(sign, uval); - Py_DECREF(uval); - uval = tmp; - } -done_or_error: - Py_XDECREF(padding); - Py_XDECREF(sign); - } -#endif - return uval; -} - -/* COrdinalToPyUnicode (used by CIntToPyUnicode) */ -static CYTHON_INLINE int __Pyx_CheckUnicodeValue(int value) { - return value <= 1114111; -} -static PyObject* __Pyx_PyUnicode_FromOrdinal_Padded(int value, Py_ssize_t ulength, char padding_char) { - Py_ssize_t padding_length = ulength - 1; - if (likely((padding_length <= 250) && (value < 0xD800 || value > 0xDFFF))) { - char chars[256]; - if (value <= 255) { - memset(chars, padding_char, (size_t) padding_length); - chars[ulength-1] = (char) value; - return PyUnicode_DecodeLatin1(chars, ulength, NULL); - } - char *cpos = chars + sizeof(chars); - if (value < 0x800) { - *--cpos = (char) (0x80 | (value & 0x3f)); - value >>= 6; - *--cpos = (char) (0xc0 | (value & 0x1f)); - } else if (value < 0x10000) { - *--cpos = (char) (0x80 | (value & 0x3f)); - value >>= 6; - *--cpos = (char) (0x80 | (value & 0x3f)); - value >>= 6; - *--cpos = (char) (0xe0 | (value & 0x0f)); - } else { - *--cpos = (char) (0x80 | (value & 0x3f)); - value >>= 6; - *--cpos = (char) (0x80 | (value & 0x3f)); - value >>= 6; - *--cpos = (char) (0x80 | (value & 0x3f)); - value >>= 6; - *--cpos = (char) (0xf0 | (value & 0x07)); - } - cpos -= padding_length; - memset(cpos, padding_char, (size_t) padding_length); - return PyUnicode_DecodeUTF8(cpos, chars + sizeof(chars) - cpos, NULL); - } - if (value <= 127 && CYTHON_USE_UNICODE_INTERNALS) { - const char chars[1] = {(char) value}; - return __Pyx_PyUnicode_BuildFromAscii(ulength, chars, 1, 0, padding_char); - } - { - PyObject *uchar, *padding_uchar, *padding, *result; - padding_uchar = PyUnicode_FromOrdinal(padding_char); - if (unlikely(!padding_uchar)) return NULL; - padding = PySequence_Repeat(padding_uchar, padding_length); - Py_DECREF(padding_uchar); - if (unlikely(!padding)) return NULL; - uchar = PyUnicode_FromOrdinal(value); - if (unlikely(!uchar)) { - Py_DECREF(padding); - return NULL; - } - result = PyUnicode_Concat(padding, uchar); - Py_DECREF(padding); - Py_DECREF(uchar); - return result; - } -} - -/* CIntToPyUnicode */ -static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const int neg_one = (int) -1, const_zero = (int) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (unlikely(!(is_unsigned || value == 0 || value > 0) || - !(sizeof(value) <= 2 || value & ~ (int) 0x01fffff || __Pyx_CheckUnicodeValue((int) value)))) { - PyErr_SetString(PyExc_OverflowError, "%c arg not in range(0x110000)"); - return NULL; - } - if (width <= 1) { - return PyUnicode_FromOrdinal((int) value); - } - return __Pyx_PyUnicode_FromOrdinal_Padded((int) value, width, padding_char); -} -static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char) { - char digits[sizeof(int)*3+2]; - char *dpos, *end = digits + sizeof(int)*3+2; - const char *hex_digits = DIGITS_HEX; - Py_ssize_t length, ulength; - int prepend_sign, last_one_off; - int remaining; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const int neg_one = (int) -1, const_zero = (int) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (format_char == 'X') { - hex_digits += 16; - format_char = 'x'; - } - remaining = value; - last_one_off = 0; - dpos = end; - do { - int digit_pos; - switch (format_char) { - case 'o': - digit_pos = abs((int)(remaining % (8*8))); - remaining = (int) (remaining / (8*8)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_8 + digit_pos * 2, 2); - last_one_off = (digit_pos < 8); - break; - case 'd': - digit_pos = abs((int)(remaining % (10*10))); - remaining = (int) (remaining / (10*10)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_10 + digit_pos * 2, 2); - last_one_off = (digit_pos < 10); - break; - case 'x': - *(--dpos) = hex_digits[abs((int)(remaining % 16))]; - remaining = (int) (remaining / 16); - break; - default: - assert(0); - break; - } - } while (unlikely(remaining != 0)); - assert(!last_one_off || *dpos == '0'); - dpos += last_one_off; - length = end - dpos; - ulength = length; - prepend_sign = 0; - if (!is_unsigned && value <= neg_one) { - if (padding_char == ' ' || width <= length + 1) { - *(--dpos) = '-'; - ++length; - } else { - prepend_sign = 1; - } - ++ulength; - } - if (width > ulength) { - ulength = width; - } - if (ulength == 1) { - return PyUnicode_FromOrdinal(*dpos); - } - return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); -} - -/* CIntToPyUnicode */ -static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const Py_ssize_t neg_one = (Py_ssize_t) -1, const_zero = (Py_ssize_t) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (unlikely(!(is_unsigned || value == 0 || value > 0) || - !(sizeof(value) <= 2 || value & ~ (Py_ssize_t) 0x01fffff || __Pyx_CheckUnicodeValue((int) value)))) { - PyErr_SetString(PyExc_OverflowError, "%c arg not in range(0x110000)"); - return NULL; - } - if (width <= 1) { - return PyUnicode_FromOrdinal((int) value); - } - return __Pyx_PyUnicode_FromOrdinal_Padded((int) value, width, padding_char); -} -static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char) { - char digits[sizeof(Py_ssize_t)*3+2]; - char *dpos, *end = digits + sizeof(Py_ssize_t)*3+2; - const char *hex_digits = DIGITS_HEX; - Py_ssize_t length, ulength; - int prepend_sign, last_one_off; - Py_ssize_t remaining; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const Py_ssize_t neg_one = (Py_ssize_t) -1, const_zero = (Py_ssize_t) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (format_char == 'X') { - hex_digits += 16; - format_char = 'x'; - } - remaining = value; - last_one_off = 0; - dpos = end; - do { - int digit_pos; - switch (format_char) { - case 'o': - digit_pos = abs((int)(remaining % (8*8))); - remaining = (Py_ssize_t) (remaining / (8*8)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_8 + digit_pos * 2, 2); - last_one_off = (digit_pos < 8); - break; - case 'd': - digit_pos = abs((int)(remaining % (10*10))); - remaining = (Py_ssize_t) (remaining / (10*10)); - dpos -= 2; - memcpy(dpos, DIGIT_PAIRS_10 + digit_pos * 2, 2); - last_one_off = (digit_pos < 10); - break; - case 'x': - *(--dpos) = hex_digits[abs((int)(remaining % 16))]; - remaining = (Py_ssize_t) (remaining / 16); - break; - default: - assert(0); - break; - } - } while (unlikely(remaining != 0)); - assert(!last_one_off || *dpos == '0'); - dpos += last_one_off; - length = end - dpos; - ulength = length; - prepend_sign = 0; - if (!is_unsigned && value <= neg_one) { - if (padding_char == ' ' || width <= length + 1) { - *(--dpos) = '-'; - ++length; - } else { - prepend_sign = 1; - } - ++ulength; - } - if (width > ulength) { - ulength = width; - } - if (ulength == 1) { - return PyUnicode_FromOrdinal(*dpos); - } - return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); -} - -/* JoinPyUnicode */ -static PyObject* __Pyx_PyUnicode_Join(PyObject** values, Py_ssize_t value_count, Py_ssize_t result_ulength, - Py_UCS4 max_char) { -#if CYTHON_USE_UNICODE_INTERNALS && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - PyObject *result_uval; - int result_ukind, kind_shift; - Py_ssize_t i, char_pos; - void *result_udata; - if (max_char > 1114111) max_char = 1114111; - result_uval = PyUnicode_New(result_ulength, max_char); - if (unlikely(!result_uval)) return NULL; - result_ukind = (max_char <= 255) ? PyUnicode_1BYTE_KIND : (max_char <= 65535) ? PyUnicode_2BYTE_KIND : PyUnicode_4BYTE_KIND; - kind_shift = (result_ukind == PyUnicode_4BYTE_KIND) ? 2 : result_ukind - 1; - result_udata = PyUnicode_DATA(result_uval); - assert(kind_shift == 2 || kind_shift == 1 || kind_shift == 0); - if (unlikely((PY_SSIZE_T_MAX >> kind_shift) - result_ulength < 0)) - goto overflow; - char_pos = 0; - for (i=0; i < value_count; i++) { - int ukind; - Py_ssize_t ulength; - void *udata; - PyObject *uval = values[i]; - #if !CYTHON_COMPILING_IN_LIMITED_API - if (__Pyx_PyUnicode_READY(uval) == (-1)) - goto bad; - #endif - ulength = __Pyx_PyUnicode_GET_LENGTH(uval); - #if !CYTHON_ASSUME_SAFE_SIZE - if (unlikely(ulength < 0)) goto bad; - #endif - if (unlikely(!ulength)) - continue; - if (unlikely((PY_SSIZE_T_MAX >> kind_shift) - ulength < char_pos)) - goto overflow; - ukind = __Pyx_PyUnicode_KIND(uval); - udata = __Pyx_PyUnicode_DATA(uval); - if (ukind == result_ukind) { - memcpy((char *)result_udata + (char_pos << kind_shift), udata, (size_t) (ulength << kind_shift)); - } else { - #if PY_VERSION_HEX >= 0x030d0000 - if (unlikely(PyUnicode_CopyCharacters(result_uval, char_pos, uval, 0, ulength) < 0)) goto bad; - #elif CYTHON_COMPILING_IN_CPYTHON || defined(_PyUnicode_FastCopyCharacters) - _PyUnicode_FastCopyCharacters(result_uval, char_pos, uval, 0, ulength); - #else - Py_ssize_t j; - for (j=0; j < ulength; j++) { - Py_UCS4 uchar = __Pyx_PyUnicode_READ(ukind, udata, j); - __Pyx_PyUnicode_WRITE(result_ukind, result_udata, char_pos+j, uchar); - } - #endif - } - char_pos += ulength; - } - return result_uval; -overflow: - PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python string"); -bad: - Py_DECREF(result_uval); - return NULL; -#else - Py_ssize_t i; - PyObject *result = NULL; - PyObject *value_tuple = PyTuple_New(value_count); - if (unlikely(!value_tuple)) return NULL; - CYTHON_UNUSED_VAR(max_char); - CYTHON_UNUSED_VAR(result_ulength); - for (i=0; i__pyx_empty_unicode, value_tuple); -bad: - Py_DECREF(value_tuple); - return result; -#endif -} - -/* GetAttr */ -static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { -#if CYTHON_USE_TYPE_SLOTS - if (likely(PyUnicode_Check(n))) - return __Pyx_PyObject_GetAttrStr(o, n); -#endif - return PyObject_GetAttr(o, n); -} - -/* GetItemInt */ -static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { - PyObject *r; - if (unlikely(!j)) return NULL; - r = PyObject_GetItem(o, j); - Py_DECREF(j); - return r; -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, - int wraparound, int boundscheck, int unsafe_shared) { - CYTHON_MAYBE_UNUSED_VAR(unsafe_shared); -#if CYTHON_ASSUME_SAFE_SIZE - Py_ssize_t wrapped_i = i; - if (wraparound & unlikely(i < 0)) { - wrapped_i += PyList_GET_SIZE(o); - } - if ((CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS || !CYTHON_ASSUME_SAFE_MACROS)) { - return __Pyx_PyList_GetItemRefFast(o, wrapped_i, unsafe_shared); - } else - if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { - return __Pyx_NewRef(PyList_GET_ITEM(o, wrapped_i)); - } - return __Pyx_GetItemInt_Generic(o, PyLong_FromSsize_t(i)); -#else - (void)wraparound; - (void)boundscheck; - return PySequence_GetItem(o, i); -#endif -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, - int wraparound, int boundscheck, int unsafe_shared) { - CYTHON_MAYBE_UNUSED_VAR(unsafe_shared); -#if CYTHON_ASSUME_SAFE_SIZE && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - Py_ssize_t wrapped_i = i; - if (wraparound & unlikely(i < 0)) { - wrapped_i += PyTuple_GET_SIZE(o); - } - if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { - return __Pyx_NewRef(PyTuple_GET_ITEM(o, wrapped_i)); - } - return __Pyx_GetItemInt_Generic(o, PyLong_FromSsize_t(i)); -#else - (void)wraparound; - (void)boundscheck; - return PySequence_GetItem(o, i); -#endif -} -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, - int wraparound, int boundscheck, int unsafe_shared) { - CYTHON_MAYBE_UNUSED_VAR(unsafe_shared); -#if CYTHON_ASSUME_SAFE_MACROS && CYTHON_ASSUME_SAFE_SIZE - if (is_list || PyList_CheckExact(o)) { - Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); - if ((CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS)) { - return __Pyx_PyList_GetItemRefFast(o, n, unsafe_shared); - } else if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { - return __Pyx_NewRef(PyList_GET_ITEM(o, n)); - } - } else - #if !CYTHON_AVOID_BORROWED_REFS - if (PyTuple_CheckExact(o)) { - Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); - if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { - return __Pyx_NewRef(PyTuple_GET_ITEM(o, n)); - } - } else - #endif -#endif -#if CYTHON_USE_TYPE_SLOTS && !CYTHON_COMPILING_IN_PYPY - { - PyMappingMethods *mm = Py_TYPE(o)->tp_as_mapping; - PySequenceMethods *sm = Py_TYPE(o)->tp_as_sequence; - if (!is_list && mm && mm->mp_subscript) { - PyObject *r, *key = PyLong_FromSsize_t(i); - if (unlikely(!key)) return NULL; - r = mm->mp_subscript(o, key); - Py_DECREF(key); - return r; - } - if (is_list || likely(sm && sm->sq_item)) { - if (wraparound && unlikely(i < 0) && likely(sm->sq_length)) { - Py_ssize_t l = sm->sq_length(o); - if (likely(l >= 0)) { - i += l; - } else { - if (!PyErr_ExceptionMatches(PyExc_OverflowError)) - return NULL; - PyErr_Clear(); - } - } - return sm->sq_item(o, i); - } - } -#else - if (is_list || !PyMapping_Check(o)) { - return PySequence_GetItem(o, i); - } -#endif - (void)wraparound; - (void)boundscheck; - return __Pyx_GetItemInt_Generic(o, PyLong_FromSsize_t(i)); -} - -/* ObjectGetItem */ -#if CYTHON_USE_TYPE_SLOTS -static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject *index) { - PyObject *runerr = NULL; - Py_ssize_t key_value; - key_value = __Pyx_PyIndex_AsSsize_t(index); - if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) { - return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1, 1); - } - if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) { - __Pyx_TypeName index_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(index)); - PyErr_Clear(); - PyErr_Format(PyExc_IndexError, - "cannot fit '" __Pyx_FMT_TYPENAME "' into an index-sized integer", index_type_name); - __Pyx_DECREF_TypeName(index_type_name); - } - return NULL; -} -static PyObject *__Pyx_PyObject_GetItem_Slow(PyObject *obj, PyObject *key) { - __Pyx_TypeName obj_type_name; - if (likely(PyType_Check(obj))) { - PyObject *meth = __Pyx_PyObject_GetAttrStrNoError(obj, __pyx_mstate_global->__pyx_n_u_class_getitem); - if (!meth) { - PyErr_Clear(); - } else { - PyObject *result = __Pyx_PyObject_CallOneArg(meth, key); - Py_DECREF(meth); - return result; - } - } - obj_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "'" __Pyx_FMT_TYPENAME "' object is not subscriptable", obj_type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return NULL; -} -static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject *key) { - PyTypeObject *tp = Py_TYPE(obj); - PyMappingMethods *mm = tp->tp_as_mapping; - PySequenceMethods *sm = tp->tp_as_sequence; - if (likely(mm && mm->mp_subscript)) { - return mm->mp_subscript(obj, key); - } - if (likely(sm && sm->sq_item)) { - return __Pyx_PyObject_GetIndex(obj, key); - } - return __Pyx_PyObject_GetItem_Slow(obj, key); -} -#endif - -/* RejectKeywords */ -static void __Pyx_RejectKeywords(const char* function_name, PyObject *kwds) { - PyObject *key = NULL; - if (CYTHON_METH_FASTCALL && likely(PyTuple_Check(kwds))) { - key = __Pyx_PySequence_ITEM(kwds, 0); - } else { -#if CYTHON_AVOID_BORROWED_REFS - PyObject *pos = NULL; -#else - Py_ssize_t pos = 0; -#endif -#if !CYTHON_COMPILING_IN_PYPY || defined(PyArg_ValidateKeywordArguments) - if (unlikely(!PyArg_ValidateKeywordArguments(kwds))) return; -#endif - __Pyx_PyDict_NextRef(kwds, &pos, &key, NULL); -#if CYTHON_AVOID_BORROWED_REFS - Py_XDECREF(pos); -#endif - } - if (likely(key)) { - PyErr_Format(PyExc_TypeError, - "%s() got an unexpected keyword argument '%U'", - function_name, key); - Py_DECREF(key); - } -} - -/* DivInt[Py_ssize_t] */ -static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b, int b_is_constant) { - Py_ssize_t q = a / b; - Py_ssize_t r = a - q*b; - Py_ssize_t adapt_python = (b_is_constant ? - ((r != 0) & ((r < 0) ^ (b < 0))) : - ((r != 0) & ((r ^ b) < 0)) - ); - return q - adapt_python; -} - -/* GetAttr3 */ -#if __PYX_LIMITED_VERSION_HEX < 0x030d0000 -static PyObject *__Pyx_GetAttr3Default(PyObject *d) { - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError))) - return NULL; - __Pyx_PyErr_Clear(); - Py_INCREF(d); - return d; -} -#endif -static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { - PyObject *r; -#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 - int res = PyObject_GetOptionalAttr(o, n, &r); - return (res != 0) ? r : __Pyx_NewRef(d); -#else - #if CYTHON_USE_TYPE_SLOTS - if (likely(PyUnicode_Check(n))) { - r = __Pyx_PyObject_GetAttrStrNoError(o, n); - if (unlikely(!r) && likely(!PyErr_Occurred())) { - r = __Pyx_NewRef(d); - } - return r; - } - #endif - r = PyObject_GetAttr(o, n); - return (likely(r)) ? r : __Pyx_GetAttr3Default(d); -#endif -} - -/* PyDictVersioning (used by GetModuleGlobalName) */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { - PyObject **dictptr = NULL; - Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; - if (offset) { -#if CYTHON_COMPILING_IN_CPYTHON - dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); -#else - dictptr = _PyObject_GetDictPtr(obj); -#endif - } - return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; -} -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) - return 0; - return obj_dict_version == __Pyx_get_object_dict_version(obj); -} -#endif - -/* GetModuleGlobalName */ -#if CYTHON_USE_DICT_VERSIONS -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) -#else -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) -#endif -{ - PyObject *result; -#if CYTHON_COMPILING_IN_LIMITED_API - if (unlikely(!__pyx_m)) { - if (!PyErr_Occurred()) - PyErr_SetNone(PyExc_NameError); - return NULL; - } - result = PyObject_GetAttr(__pyx_m, name); - if (likely(result)) { - return result; - } - PyErr_Clear(); -#elif CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS - if (unlikely(__Pyx_PyDict_GetItemRef(__pyx_mstate_global->__pyx_d, name, &result) == -1)) PyErr_Clear(); - __PYX_UPDATE_DICT_CACHE(__pyx_mstate_global->__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return result; - } -#else - result = _PyDict_GetItem_KnownHash(__pyx_mstate_global->__pyx_d, name, ((PyASCIIObject *) name)->hash); - __PYX_UPDATE_DICT_CACHE(__pyx_mstate_global->__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } - PyErr_Clear(); -#endif - return __Pyx_GetBuiltinName(name); -} - -/* RaiseTooManyValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { - PyErr_Format(PyExc_ValueError, - "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); -} - -/* RaiseNeedMoreValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { - PyErr_Format(PyExc_ValueError, - "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", - index, (index == 1) ? "" : "s"); -} - -/* RaiseNoneIterError */ -static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { - PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); -} - -/* ExtTypeTest */ -static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { - __Pyx_TypeName obj_type_name; - __Pyx_TypeName type_name; - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - if (likely(__Pyx_TypeCheck(obj, type))) - return 1; - obj_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(obj)); - type_name = __Pyx_PyType_GetFullyQualifiedName(type); - PyErr_Format(PyExc_TypeError, - "Cannot convert " __Pyx_FMT_TYPENAME " to " __Pyx_FMT_TYPENAME, - obj_type_name, type_name); - __Pyx_DECREF_TypeName(obj_type_name); - __Pyx_DECREF_TypeName(type_name); - return 0; -} - -/* GetTopmostException (used by SaveResetException) */ -#if CYTHON_USE_EXC_INFO_STACK && CYTHON_FAST_THREAD_STATE -static _PyErr_StackItem * -__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) -{ - _PyErr_StackItem *exc_info = tstate->exc_info; - while ((exc_info->exc_value == NULL || exc_info->exc_value == Py_None) && - exc_info->previous_item != NULL) - { - exc_info = exc_info->previous_item; - } - return exc_info; -} -#endif - -/* SaveResetException */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 - _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); - PyObject *exc_value = exc_info->exc_value; - if (exc_value == NULL || exc_value == Py_None) { - *value = NULL; - *type = NULL; - *tb = NULL; - } else { - *value = exc_value; - Py_INCREF(*value); - *type = (PyObject*) Py_TYPE(exc_value); - Py_INCREF(*type); - *tb = PyException_GetTraceback(exc_value); - } - #elif CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); - *type = exc_info->exc_type; - *value = exc_info->exc_value; - *tb = exc_info->exc_traceback; - Py_XINCREF(*type); - Py_XINCREF(*value); - Py_XINCREF(*tb); - #else - *type = tstate->exc_type; - *value = tstate->exc_value; - *tb = tstate->exc_traceback; - Py_XINCREF(*type); - Py_XINCREF(*value); - Py_XINCREF(*tb); - #endif -} -static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { - #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 - _PyErr_StackItem *exc_info = tstate->exc_info; - PyObject *tmp_value = exc_info->exc_value; - exc_info->exc_value = value; - Py_XDECREF(tmp_value); - Py_XDECREF(type); - Py_XDECREF(tb); - #else - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = type; - exc_info->exc_value = value; - exc_info->exc_traceback = tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = type; - tstate->exc_value = value; - tstate->exc_traceback = tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); - #endif -} -#endif - -/* GetException */ -#if CYTHON_FAST_THREAD_STATE -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) -#else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) -#endif -{ - PyObject *local_type = NULL, *local_value, *local_tb = NULL; -#if CYTHON_FAST_THREAD_STATE - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if PY_VERSION_HEX >= 0x030C0000 - local_value = tstate->current_exception; - tstate->current_exception = 0; - #else - local_type = tstate->curexc_type; - local_value = tstate->curexc_value; - local_tb = tstate->curexc_traceback; - tstate->curexc_type = 0; - tstate->curexc_value = 0; - tstate->curexc_traceback = 0; - #endif -#elif __PYX_LIMITED_VERSION_HEX > 0x030C0000 - local_value = PyErr_GetRaisedException(); -#else - PyErr_Fetch(&local_type, &local_value, &local_tb); -#endif -#if __PYX_LIMITED_VERSION_HEX > 0x030C0000 - if (likely(local_value)) { - local_type = (PyObject*) Py_TYPE(local_value); - Py_INCREF(local_type); - local_tb = PyException_GetTraceback(local_value); - } -#else - PyErr_NormalizeException(&local_type, &local_value, &local_tb); -#if CYTHON_FAST_THREAD_STATE - if (unlikely(tstate->curexc_type)) -#else - if (unlikely(PyErr_Occurred())) -#endif - goto bad; - if (local_tb) { - if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) - goto bad; - } -#endif // __PYX_LIMITED_VERSION_HEX > 0x030C0000 - Py_XINCREF(local_tb); - Py_XINCREF(local_type); - Py_XINCREF(local_value); - *type = local_type; - *value = local_value; - *tb = local_tb; -#if CYTHON_FAST_THREAD_STATE - #if CYTHON_USE_EXC_INFO_STACK - { - _PyErr_StackItem *exc_info = tstate->exc_info; - #if PY_VERSION_HEX >= 0x030B00a4 - tmp_value = exc_info->exc_value; - exc_info->exc_value = local_value; - tmp_type = NULL; - tmp_tb = NULL; - Py_XDECREF(local_type); - Py_XDECREF(local_tb); - #else - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = local_type; - exc_info->exc_value = local_value; - exc_info->exc_traceback = local_tb; - #endif - } - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = local_type; - tstate->exc_value = local_value; - tstate->exc_traceback = local_tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -#elif __PYX_LIMITED_VERSION_HEX >= 0x030b0000 - PyErr_SetHandledException(local_value); - Py_XDECREF(local_value); - Py_XDECREF(local_type); - Py_XDECREF(local_tb); -#else - PyErr_SetExcInfo(local_type, local_value, local_tb); -#endif - return 0; -#if __PYX_LIMITED_VERSION_HEX <= 0x030C0000 -bad: - *type = 0; - *value = 0; - *tb = 0; - Py_XDECREF(local_type); - Py_XDECREF(local_value); - Py_XDECREF(local_tb); - return -1; -#endif -} - -/* SwapException */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK && PY_VERSION_HEX >= 0x030B00a4 - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_value = exc_info->exc_value; - exc_info->exc_value = *value; - if (tmp_value == NULL || tmp_value == Py_None) { - Py_XDECREF(tmp_value); - tmp_value = NULL; - tmp_type = NULL; - tmp_tb = NULL; - } else { - tmp_type = (PyObject*) Py_TYPE(tmp_value); - Py_INCREF(tmp_type); - #if CYTHON_COMPILING_IN_CPYTHON - tmp_tb = ((PyBaseExceptionObject*) tmp_value)->traceback; - Py_XINCREF(tmp_tb); - #else - tmp_tb = PyException_GetTraceback(tmp_value); - #endif - } - #elif CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = *type; - exc_info->exc_value = *value; - exc_info->exc_traceback = *tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = *type; - tstate->exc_value = *value; - tstate->exc_traceback = *tb; - #endif - *type = tmp_type; - *value = tmp_value; - *tb = tmp_tb; -} -#else -static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb); - PyErr_SetExcInfo(*type, *value, *tb); - *type = tmp_type; - *value = tmp_value; - *tb = tmp_tb; -} -#endif - -/* HasAttr (used by ImportImpl) */ -#if __PYX_LIMITED_VERSION_HEX < 0x030d0000 -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { - PyObject *r; - if (unlikely(!PyUnicode_Check(n))) { - PyErr_SetString(PyExc_TypeError, - "hasattr(): attribute name must be string"); - return -1; - } - r = __Pyx_PyObject_GetAttrStrNoError(o, n); - if (!r) { - return (unlikely(PyErr_Occurred())) ? -1 : 0; - } else { - Py_DECREF(r); - return 1; - } -} -#endif - -/* ImportImpl (used by Import) */ -static int __Pyx__Import_GetModule(PyObject *qualname, PyObject **module) { - PyObject *imported_module = PyImport_GetModule(qualname); - if (unlikely(!imported_module)) { - *module = NULL; - if (PyErr_Occurred()) { - return -1; - } - return 0; - } - *module = imported_module; - return 1; -} -static int __Pyx__Import_Lookup(PyObject *qualname, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject **module) { - PyObject *imported_module; - PyObject *top_level_package_name; - Py_ssize_t i; - int status, module_found; - Py_ssize_t dot_index; - module_found = __Pyx__Import_GetModule(qualname, &imported_module); - if (unlikely(!module_found || module_found == -1)) { - *module = NULL; - return module_found; - } - if (imported_names) { - for (i = 0; i < len_imported_names; i++) { - PyObject *imported_name = imported_names[i]; -#if __PYX_LIMITED_VERSION_HEX < 0x030d0000 - int has_imported_attribute = PyObject_HasAttr(imported_module, imported_name); -#else - int has_imported_attribute = PyObject_HasAttrWithError(imported_module, imported_name); - if (unlikely(has_imported_attribute == -1)) goto error; -#endif - if (!has_imported_attribute) { - goto not_found; - } - } - *module = imported_module; - return 1; - } - dot_index = PyUnicode_FindChar(qualname, '.', 0, PY_SSIZE_T_MAX, 1); - if (dot_index == -1) { - *module = imported_module; - return 1; - } - if (unlikely(dot_index == -2)) goto error; - top_level_package_name = PyUnicode_Substring(qualname, 0, dot_index); - if (unlikely(!top_level_package_name)) goto error; - Py_DECREF(imported_module); - status = __Pyx__Import_GetModule(top_level_package_name, module); - Py_DECREF(top_level_package_name); - return status; -error: - Py_DECREF(imported_module); - *module = NULL; - return -1; -not_found: - Py_DECREF(imported_module); - *module = NULL; - return 0; -} -static PyObject *__Pyx__Import(PyObject *name, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject *qualname, PyObject *moddict, int level) { - PyObject *module = 0; - PyObject *empty_dict = 0; - PyObject *from_list = 0; - int module_found; - if (!qualname) { - qualname = name; - } - module_found = __Pyx__Import_Lookup(qualname, imported_names, len_imported_names, &module); - if (likely(module_found == 1)) { - return module; - } else if (unlikely(module_found == -1)) { - return NULL; - } - empty_dict = PyDict_New(); - if (unlikely(!empty_dict)) - goto bad; - if (imported_names) { -#if CYTHON_COMPILING_IN_CPYTHON - from_list = __Pyx_PyList_FromArray(imported_names, len_imported_names); - if (unlikely(!from_list)) - goto bad; -#else - from_list = PyList_New(len_imported_names); - if (unlikely(!from_list)) goto bad; - for (Py_ssize_t i=0; i__pyx_d, level); -} - -/* FastTypeChecks */ -#if CYTHON_COMPILING_IN_CPYTHON -static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { - while (a) { - a = __Pyx_PyType_GetSlot(a, tp_base, PyTypeObject*); - if (a == b) - return 1; - } - return b == &PyBaseObject_Type; -} -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (a == b) return 1; - mro = a->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(a, b); -} -static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (cls == a || cls == b) return 1; - mro = cls->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - PyObject *base = PyTuple_GET_ITEM(mro, i); - if (base == (PyObject *)a || base == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(cls, a) || __Pyx_InBases(cls, b); -} -static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { - if (exc_type1) { - return __Pyx_IsAnySubtype2((PyTypeObject*)err, (PyTypeObject*)exc_type1, (PyTypeObject*)exc_type2); - } else { - return __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); - } -} -static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { - Py_ssize_t i, n; - assert(PyExceptionClass_Check(exc_type)); - n = PyTuple_GET_SIZE(tuple); - for (i=0; itp_as_sequence && type->tp_as_sequence->sq_repeat)) { - return type->tp_as_sequence->sq_repeat(seq, mul); - } else -#endif - { - return __Pyx_PySequence_Multiply_Generic(seq, mul); - } -} - -/* PyObjectFormatAndDecref */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatSimpleAndDecref(PyObject* s, PyObject* f) { - if (unlikely(!s)) return NULL; - if (likely(PyUnicode_CheckExact(s))) return s; - return __Pyx_PyObject_FormatAndDecref(s, f); -} -static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatAndDecref(PyObject* s, PyObject* f) { - PyObject *result; - if (unlikely(!s)) return NULL; - result = PyObject_Format(s, f); - Py_DECREF(s); - return result; -} - -/* PyObjectFormat */ -#if CYTHON_USE_UNICODE_WRITER -static PyObject* __Pyx_PyObject_Format(PyObject* obj, PyObject* format_spec) { - int ret; - _PyUnicodeWriter writer; - if (likely(PyFloat_CheckExact(obj))) { - _PyUnicodeWriter_Init(&writer); - ret = _PyFloat_FormatAdvancedWriter( - &writer, - obj, - format_spec, 0, PyUnicode_GET_LENGTH(format_spec)); - } else if (likely(PyLong_CheckExact(obj))) { - _PyUnicodeWriter_Init(&writer); - ret = _PyLong_FormatAdvancedWriter( - &writer, - obj, - format_spec, 0, PyUnicode_GET_LENGTH(format_spec)); - } else { - return PyObject_Format(obj, format_spec); - } - if (unlikely(ret == -1)) { - _PyUnicodeWriter_Dealloc(&writer); - return NULL; - } - return _PyUnicodeWriter_Finish(&writer); -} -#endif - -/* SetItemInt */ -static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { - int r; - if (unlikely(!j)) return -1; - r = PyObject_SetItem(o, j, v); - Py_DECREF(j); - return r; -} -static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, - int wraparound, int boundscheck, int unsafe_shared) { - CYTHON_MAYBE_UNUSED_VAR(unsafe_shared); -#if CYTHON_ASSUME_SAFE_MACROS && CYTHON_ASSUME_SAFE_SIZE && !CYTHON_AVOID_BORROWED_REFS - if (is_list || PyList_CheckExact(o)) { - Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); - if ((CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS && !__Pyx_IS_UNIQUELY_REFERENCED(o, unsafe_shared))) { - Py_INCREF(v); - return PyList_SetItem(o, n, v); - } else if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o)))) { - PyObject* old; - Py_INCREF(v); - old = PyList_GET_ITEM(o, n); - PyList_SET_ITEM(o, n, v); - Py_DECREF(old); - return 0; - } - } else -#endif -#if CYTHON_USE_TYPE_SLOTS && !CYTHON_COMPILING_IN_PYPY - { - PyMappingMethods *mm = Py_TYPE(o)->tp_as_mapping; - PySequenceMethods *sm = Py_TYPE(o)->tp_as_sequence; - if (!is_list && mm && mm->mp_ass_subscript) { - int r; - PyObject *key = PyLong_FromSsize_t(i); - if (unlikely(!key)) return -1; - r = mm->mp_ass_subscript(o, key, v); - Py_DECREF(key); - return r; - } - if (is_list || likely(sm && sm->sq_ass_item)) { - if (wraparound && unlikely(i < 0) && likely(sm->sq_length)) { - Py_ssize_t l = sm->sq_length(o); - if (likely(l >= 0)) { - i += l; - } else { - if (!PyErr_ExceptionMatches(PyExc_OverflowError)) - return -1; - PyErr_Clear(); - } - } - return sm->sq_ass_item(o, i, v); - } - } -#else - if (is_list || !PyMapping_Check(o)) { - return PySequence_SetItem(o, i, v); - } -#endif - (void)wraparound; - (void)boundscheck; - return __Pyx_SetItemInt_Generic(o, PyLong_FromSsize_t(i), v); -} - -/* RaiseUnboundLocalError */ -static void __Pyx_RaiseUnboundLocalError(const char *varname) { - PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); -} - -/* DivInt[long] */ -static CYTHON_INLINE long __Pyx_div_long(long a, long b, int b_is_constant) { - long q = a / b; - long r = a - q*b; - long adapt_python = (b_is_constant ? - ((r != 0) & ((r < 0) ^ (b < 0))) : - ((r != 0) & ((r ^ b) < 0)) - ); - return q - adapt_python; -} - -/* PyObjectVectorCallKwBuilder */ -#if CYTHON_VECTORCALL -static int __Pyx_VectorcallBuilder_AddArg(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n) { - (void)__Pyx_PyObject_FastCallDict; - if (__Pyx_PyTuple_SET_ITEM(builder, n, key) != (0)) return -1; - Py_INCREF(key); - args[n] = value; - return 0; -} -CYTHON_UNUSED static int __Pyx_VectorcallBuilder_AddArg_Check(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n) { - (void)__Pyx_VectorcallBuilder_AddArgStr; - if (unlikely(!PyUnicode_Check(key))) { - PyErr_SetString(PyExc_TypeError, "keywords must be strings"); - return -1; - } - return __Pyx_VectorcallBuilder_AddArg(key, value, builder, args, n); -} -static int __Pyx_VectorcallBuilder_AddArgStr(const char *key, PyObject *value, PyObject *builder, PyObject **args, int n) { - PyObject *pyKey = PyUnicode_FromString(key); - if (!pyKey) return -1; - return __Pyx_VectorcallBuilder_AddArg(pyKey, value, builder, args, n); -} -#else // CYTHON_VECTORCALL -CYTHON_UNUSED static int __Pyx_VectorcallBuilder_AddArg_Check(PyObject *key, PyObject *value, PyObject *builder, CYTHON_UNUSED PyObject **args, CYTHON_UNUSED int n) { - if (unlikely(!PyUnicode_Check(key))) { - PyErr_SetString(PyExc_TypeError, "keywords must be strings"); - return -1; - } - return PyDict_SetItem(builder, key, value); -} -#endif - -/* WriteUnraisableException */ -static void __Pyx_WriteUnraisable(const char *name, int clineno, - int lineno, const char *filename, - int full_traceback, int nogil) { - PyObject *old_exc, *old_val, *old_tb; - PyObject *ctx; - __Pyx_PyThreadState_declare - PyGILState_STATE state; - if (nogil) - state = PyGILState_Ensure(); - else state = (PyGILState_STATE)0; - CYTHON_UNUSED_VAR(clineno); - CYTHON_UNUSED_VAR(lineno); - CYTHON_UNUSED_VAR(filename); - CYTHON_MAYBE_UNUSED_VAR(nogil); - __Pyx_PyThreadState_assign - __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); - if (full_traceback) { - Py_XINCREF(old_exc); - Py_XINCREF(old_val); - Py_XINCREF(old_tb); - __Pyx_ErrRestore(old_exc, old_val, old_tb); - PyErr_PrintEx(0); - } - ctx = PyUnicode_FromString(name); - __Pyx_ErrRestore(old_exc, old_val, old_tb); - if (!ctx) { - PyErr_WriteUnraisable(Py_None); - } else { - PyErr_WriteUnraisable(ctx); - Py_DECREF(ctx); - } - if (nogil) - PyGILState_Release(state); -} - -/* AllocateExtensionType */ -static PyObject *__Pyx_AllocateExtensionType(PyTypeObject *t, int is_final) { - if (is_final || likely(!__Pyx_PyType_HasFeature(t, Py_TPFLAGS_IS_ABSTRACT))) { - allocfunc alloc_func = __Pyx_PyType_GetSlot(t, tp_alloc, allocfunc); - return alloc_func(t, 0); - } else { - newfunc tp_new = __Pyx_PyType_TryGetSlot(&PyBaseObject_Type, tp_new, newfunc); - #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 - if (!tp_new) { - PyObject *new_str = PyUnicode_FromString("__new__"); - if (likely(new_str)) { - PyObject *o = PyObject_CallMethodObjArgs((PyObject *)&PyBaseObject_Type, new_str, t, NULL); - Py_DECREF(new_str); - return o; - } else - return NULL; - } else - #endif - return tp_new(t, __pyx_mstate_global->__pyx_empty_tuple, 0); - } -} - -/* CallTypeTraverse */ -#if !CYTHON_USE_TYPE_SPECS || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x03090000) -#else -static int __Pyx_call_type_traverse(PyObject *o, int always_call, visitproc visit, void *arg) { - #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x03090000 - if (__Pyx_get_runtime_version() < 0x03090000) return 0; - #endif - if (!always_call) { - PyTypeObject *base = __Pyx_PyObject_GetSlot(o, tp_base, PyTypeObject*); - unsigned long flags = PyType_GetFlags(base); - if (flags & Py_TPFLAGS_HEAPTYPE) { - return 0; - } - } - Py_VISIT((PyObject*)Py_TYPE(o)); - return 0; -} -#endif - -/* LimitedApiGetTypeDict (used by SetItemOnTypeDict) */ -#if CYTHON_COMPILING_IN_LIMITED_API -static Py_ssize_t __Pyx_GetTypeDictOffset(void) { - PyObject *tp_dictoffset_o; - Py_ssize_t tp_dictoffset; - tp_dictoffset_o = PyObject_GetAttrString((PyObject*)(&PyType_Type), "__dictoffset__"); - if (unlikely(!tp_dictoffset_o)) return -1; - tp_dictoffset = PyLong_AsSsize_t(tp_dictoffset_o); - Py_DECREF(tp_dictoffset_o); - if (unlikely(tp_dictoffset == 0)) { - PyErr_SetString( - PyExc_TypeError, - "'type' doesn't have a dictoffset"); - return -1; - } else if (unlikely(tp_dictoffset < 0)) { - PyErr_SetString( - PyExc_TypeError, - "'type' has an unexpected negative dictoffset. " - "Please report this as Cython bug"); - return -1; - } - return tp_dictoffset; -} -static PyObject *__Pyx_GetTypeDict(PyTypeObject *tp) { - static Py_ssize_t tp_dictoffset = 0; - if (unlikely(tp_dictoffset == 0)) { - tp_dictoffset = __Pyx_GetTypeDictOffset(); - if (unlikely(tp_dictoffset == -1 && PyErr_Occurred())) { - tp_dictoffset = 0; // try again next time? - return NULL; - } - } - return *(PyObject**)((char*)tp + tp_dictoffset); -} -#endif - -/* SetItemOnTypeDict (used by FixUpExtensionType) */ -static int __Pyx__SetItemOnTypeDict(PyTypeObject *tp, PyObject *k, PyObject *v) { - int result; - PyObject *tp_dict; -#if CYTHON_COMPILING_IN_LIMITED_API - tp_dict = __Pyx_GetTypeDict(tp); - if (unlikely(!tp_dict)) return -1; -#else - tp_dict = tp->tp_dict; -#endif - result = PyDict_SetItem(tp_dict, k, v); - if (likely(!result)) { - PyType_Modified(tp); - if (unlikely(PyObject_HasAttr(v, __pyx_mstate_global->__pyx_n_u_set_name))) { - PyObject *setNameResult = PyObject_CallMethodObjArgs(v, __pyx_mstate_global->__pyx_n_u_set_name, (PyObject *) tp, k, NULL); - if (!setNameResult) return -1; - Py_DECREF(setNameResult); - } - } - return result; -} - -/* FixUpExtensionType */ -static int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type) { -#if __PYX_LIMITED_VERSION_HEX > 0x030900B1 - CYTHON_UNUSED_VAR(spec); - CYTHON_UNUSED_VAR(type); - CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); -#else - const PyType_Slot *slot = spec->slots; - int changed = 0; -#if !CYTHON_COMPILING_IN_LIMITED_API - while (slot && slot->slot && slot->slot != Py_tp_members) - slot++; - if (slot && slot->slot == Py_tp_members) { -#if !CYTHON_COMPILING_IN_CPYTHON - const -#endif // !CYTHON_COMPILING_IN_CPYTHON) - PyMemberDef *memb = (PyMemberDef*) slot->pfunc; - while (memb && memb->name) { - if (memb->name[0] == '_' && memb->name[1] == '_') { - if (strcmp(memb->name, "__weaklistoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_weaklistoffset = memb->offset; - changed = 1; - } - else if (strcmp(memb->name, "__dictoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_dictoffset = memb->offset; - changed = 1; - } -#if CYTHON_METH_FASTCALL - else if (strcmp(memb->name, "__vectorcalloffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_vectorcall_offset = memb->offset; - changed = 1; - } -#endif // CYTHON_METH_FASTCALL -#if !CYTHON_COMPILING_IN_PYPY - else if (strcmp(memb->name, "__module__") == 0) { - PyObject *descr; - assert(memb->type == T_OBJECT); - assert(memb->flags == 0 || memb->flags == READONLY); - descr = PyDescr_NewMember(type, memb); - if (unlikely(!descr)) - return -1; - int set_item_result = PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr); - Py_DECREF(descr); - if (unlikely(set_item_result < 0)) { - return -1; - } - changed = 1; - } -#endif // !CYTHON_COMPILING_IN_PYPY - } - memb++; - } - } -#endif // !CYTHON_COMPILING_IN_LIMITED_API -#if !CYTHON_COMPILING_IN_PYPY - slot = spec->slots; - while (slot && slot->slot && slot->slot != Py_tp_getset) - slot++; - if (slot && slot->slot == Py_tp_getset) { - PyGetSetDef *getset = (PyGetSetDef*) slot->pfunc; - while (getset && getset->name) { - if (getset->name[0] == '_' && getset->name[1] == '_' && strcmp(getset->name, "__module__") == 0) { - PyObject *descr = PyDescr_NewGetSet(type, getset); - if (unlikely(!descr)) - return -1; - #if CYTHON_COMPILING_IN_LIMITED_API - PyObject *pyname = PyUnicode_FromString(getset->name); - if (unlikely(!pyname)) { - Py_DECREF(descr); - return -1; - } - int set_item_result = __Pyx_SetItemOnTypeDict(type, pyname, descr); - Py_DECREF(pyname); - #else - CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); - int set_item_result = PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr); - #endif - Py_DECREF(descr); - if (unlikely(set_item_result < 0)) { - return -1; - } - changed = 1; - } - ++getset; - } - } -#else - CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); -#endif // !CYTHON_COMPILING_IN_PYPY - if (changed) - PyType_Modified(type); -#endif // PY_VERSION_HEX > 0x030900B1 - return 0; -} - -/* PyObjectCallNoArg (used by PyObjectCallMethod0) */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) { - PyObject *arg[2] = {NULL, NULL}; - return __Pyx_PyObject_FastCall(func, arg + 1, 0 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); -} - -/* PyObjectGetMethod (used by PyObjectCallMethod0) */ -#if !(CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000))) -static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) { - PyObject *attr; -#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP - __Pyx_TypeName type_name; - PyTypeObject *tp = Py_TYPE(obj); - PyObject *descr; - descrgetfunc f = NULL; - PyObject **dictptr, *dict; - int meth_found = 0; - assert (*method == NULL); - if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) { - attr = __Pyx_PyObject_GetAttrStr(obj, name); - goto try_unpack; - } - if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) { - return 0; - } - descr = _PyType_Lookup(tp, name); - if (likely(descr != NULL)) { - Py_INCREF(descr); -#if defined(Py_TPFLAGS_METHOD_DESCRIPTOR) && Py_TPFLAGS_METHOD_DESCRIPTOR - if (__Pyx_PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_METHOD_DESCRIPTOR)) -#else - #ifdef __Pyx_CyFunction_USED - if (likely(PyFunction_Check(descr) || __Pyx_IS_TYPE(descr, &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr))) - #else - if (likely(PyFunction_Check(descr) || __Pyx_IS_TYPE(descr, &PyMethodDescr_Type))) - #endif -#endif - { - meth_found = 1; - } else { - f = Py_TYPE(descr)->tp_descr_get; - if (f != NULL && PyDescr_IsData(descr)) { - attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); - Py_DECREF(descr); - goto try_unpack; - } - } - } - dictptr = _PyObject_GetDictPtr(obj); - if (dictptr != NULL && (dict = *dictptr) != NULL) { - Py_INCREF(dict); - attr = __Pyx_PyDict_GetItemStr(dict, name); - if (attr != NULL) { - Py_INCREF(attr); - Py_DECREF(dict); - Py_XDECREF(descr); - goto try_unpack; - } - Py_DECREF(dict); - } - if (meth_found) { - *method = descr; - return 1; - } - if (f != NULL) { - attr = f(descr, obj, (PyObject *)Py_TYPE(obj)); - Py_DECREF(descr); - goto try_unpack; - } - if (likely(descr != NULL)) { - *method = descr; - return 0; - } - type_name = __Pyx_PyType_GetFullyQualifiedName(tp); - PyErr_Format(PyExc_AttributeError, - "'" __Pyx_FMT_TYPENAME "' object has no attribute '%U'", - type_name, name); - __Pyx_DECREF_TypeName(type_name); - return 0; -#else - attr = __Pyx_PyObject_GetAttrStr(obj, name); - goto try_unpack; -#endif -try_unpack: -#if CYTHON_UNPACK_METHODS - if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) { - PyObject *function = PyMethod_GET_FUNCTION(attr); - Py_INCREF(function); - Py_DECREF(attr); - *method = function; - return 1; - } -#endif - *method = attr; - return 0; -} -#endif - -/* PyObjectCallMethod0 (used by PyType_Ready) */ -static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) { -#if CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000)) - PyObject *args[1] = {obj}; - (void) __Pyx_PyObject_CallOneArg; - (void) __Pyx_PyObject_CallNoArg; - return PyObject_VectorcallMethod(method_name, args, 1 | PY_VECTORCALL_ARGUMENTS_OFFSET, NULL); -#else - PyObject *method = NULL, *result = NULL; - int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); - if (likely(is_method)) { - result = __Pyx_PyObject_CallOneArg(method, obj); - Py_DECREF(method); - return result; - } - if (unlikely(!method)) goto bad; - result = __Pyx_PyObject_CallNoArg(method); - Py_DECREF(method); -bad: - return result; -#endif -} - -/* ValidateBasesTuple (used by PyType_Ready) */ -#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS -static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases) { - Py_ssize_t i, n; -#if CYTHON_ASSUME_SAFE_SIZE - n = PyTuple_GET_SIZE(bases); -#else - n = PyTuple_Size(bases); - if (unlikely(n < 0)) return -1; -#endif - for (i = 1; i < n; i++) - { - PyTypeObject *b; -#if CYTHON_AVOID_BORROWED_REFS - PyObject *b0 = PySequence_GetItem(bases, i); - if (!b0) return -1; -#elif CYTHON_ASSUME_SAFE_MACROS - PyObject *b0 = PyTuple_GET_ITEM(bases, i); -#else - PyObject *b0 = PyTuple_GetItem(bases, i); - if (!b0) return -1; -#endif - b = (PyTypeObject*) b0; - if (!__Pyx_PyType_HasFeature(b, Py_TPFLAGS_HEAPTYPE)) - { - __Pyx_TypeName b_name = __Pyx_PyType_GetFullyQualifiedName(b); - PyErr_Format(PyExc_TypeError, - "base class '" __Pyx_FMT_TYPENAME "' is not a heap type", b_name); - __Pyx_DECREF_TypeName(b_name); -#if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(b0); -#endif - return -1; - } - if (dictoffset == 0) - { - Py_ssize_t b_dictoffset = 0; -#if CYTHON_USE_TYPE_SLOTS - b_dictoffset = b->tp_dictoffset; -#else - PyObject *py_b_dictoffset = PyObject_GetAttrString((PyObject*)b, "__dictoffset__"); - if (!py_b_dictoffset) goto dictoffset_return; - b_dictoffset = PyLong_AsSsize_t(py_b_dictoffset); - Py_DECREF(py_b_dictoffset); - if (b_dictoffset == -1 && PyErr_Occurred()) goto dictoffset_return; -#endif - if (b_dictoffset) { - { - __Pyx_TypeName b_name = __Pyx_PyType_GetFullyQualifiedName(b); - PyErr_Format(PyExc_TypeError, - "extension type '%.200s' has no __dict__ slot, " - "but base type '" __Pyx_FMT_TYPENAME "' has: " - "either add 'cdef dict __dict__' to the extension type " - "or add '__slots__ = [...]' to the base type", - type_name, b_name); - __Pyx_DECREF_TypeName(b_name); - } -#if !CYTHON_USE_TYPE_SLOTS - dictoffset_return: -#endif -#if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(b0); -#endif - return -1; - } - } -#if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(b0); -#endif - } - return 0; -} -#endif - -/* PyType_Ready */ -CYTHON_UNUSED static int __Pyx_PyType_HasMultipleInheritance(PyTypeObject *t) { - while (t) { - PyObject *bases = __Pyx_PyType_GetSlot(t, tp_bases, PyObject*); - if (bases) { - return 1; - } - t = __Pyx_PyType_GetSlot(t, tp_base, PyTypeObject*); - } - return 0; -} -static int __Pyx_PyType_Ready(PyTypeObject *t) { -#if CYTHON_USE_TYPE_SPECS || !CYTHON_COMPILING_IN_CPYTHON || defined(PYSTON_MAJOR_VERSION) - (void)__Pyx_PyObject_CallMethod0; -#if CYTHON_USE_TYPE_SPECS - (void)__Pyx_validate_bases_tuple; -#endif - return PyType_Ready(t); -#else - int r; - if (!__Pyx_PyType_HasMultipleInheritance(t)) { - return PyType_Ready(t); - } - PyObject *bases = __Pyx_PyType_GetSlot(t, tp_bases, PyObject*); - if (bases && unlikely(__Pyx_validate_bases_tuple(t->tp_name, t->tp_dictoffset, bases) == -1)) - return -1; -#if !defined(PYSTON_MAJOR_VERSION) - { - int gc_was_enabled; - #if PY_VERSION_HEX >= 0x030A00b1 - gc_was_enabled = PyGC_Disable(); - (void)__Pyx_PyObject_CallMethod0; - #else - PyObject *ret, *py_status; - PyObject *gc = NULL; - #if (!CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM+0 >= 0x07030400) &&\ - !CYTHON_COMPILING_IN_GRAAL - gc = PyImport_GetModule(__pyx_mstate_global->__pyx_kp_u_gc); - #endif - if (unlikely(!gc)) gc = PyImport_Import(__pyx_mstate_global->__pyx_kp_u_gc); - if (unlikely(!gc)) return -1; - py_status = __Pyx_PyObject_CallMethod0(gc, __pyx_mstate_global->__pyx_kp_u_isenabled); - if (unlikely(!py_status)) { - Py_DECREF(gc); - return -1; - } - gc_was_enabled = __Pyx_PyObject_IsTrue(py_status); - Py_DECREF(py_status); - if (gc_was_enabled > 0) { - ret = __Pyx_PyObject_CallMethod0(gc, __pyx_mstate_global->__pyx_kp_u_disable); - if (unlikely(!ret)) { - Py_DECREF(gc); - return -1; - } - Py_DECREF(ret); - } else if (unlikely(gc_was_enabled == -1)) { - Py_DECREF(gc); - return -1; - } - #endif - t->tp_flags |= Py_TPFLAGS_HEAPTYPE; -#if PY_VERSION_HEX >= 0x030A0000 - t->tp_flags |= Py_TPFLAGS_IMMUTABLETYPE; -#endif -#else - (void)__Pyx_PyObject_CallMethod0; -#endif - r = PyType_Ready(t); -#if !defined(PYSTON_MAJOR_VERSION) - t->tp_flags &= ~Py_TPFLAGS_HEAPTYPE; - #if PY_VERSION_HEX >= 0x030A00b1 - if (gc_was_enabled) - PyGC_Enable(); - #else - if (gc_was_enabled) { - PyObject *tp, *v, *tb; - PyErr_Fetch(&tp, &v, &tb); - ret = __Pyx_PyObject_CallMethod0(gc, __pyx_mstate_global->__pyx_kp_u_enable); - if (likely(ret || r == -1)) { - Py_XDECREF(ret); - PyErr_Restore(tp, v, tb); - } else { - Py_XDECREF(tp); - Py_XDECREF(v); - Py_XDECREF(tb); - r = -1; - } - } - Py_DECREF(gc); - #endif - } -#endif - return r; -#endif -} - -/* SetVTable */ -static int __Pyx_SetVtable(PyTypeObject *type, void *vtable) { - PyObject *ob = PyCapsule_New(vtable, 0, 0); - if (unlikely(!ob)) - goto bad; -#if CYTHON_COMPILING_IN_LIMITED_API - if (unlikely(PyObject_SetAttr((PyObject *) type, __pyx_mstate_global->__pyx_n_u_pyx_vtable, ob) < 0)) -#else - if (unlikely(PyDict_SetItem(type->tp_dict, __pyx_mstate_global->__pyx_n_u_pyx_vtable, ob) < 0)) -#endif - goto bad; - Py_DECREF(ob); - return 0; -bad: - Py_XDECREF(ob); - return -1; -} - -/* GetVTable (used by MergeVTables) */ -static void* __Pyx_GetVtable(PyTypeObject *type) { - void* ptr; -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *ob = PyObject_GetAttr((PyObject *)type, __pyx_mstate_global->__pyx_n_u_pyx_vtable); -#else - PyObject *ob = PyObject_GetItem(type->tp_dict, __pyx_mstate_global->__pyx_n_u_pyx_vtable); -#endif - if (!ob) - goto bad; - ptr = PyCapsule_GetPointer(ob, 0); - if (!ptr && !PyErr_Occurred()) - PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type"); - Py_DECREF(ob); - return ptr; -bad: - Py_XDECREF(ob); - return NULL; -} - -/* MergeVTables */ -static int __Pyx_MergeVtables(PyTypeObject *type) { - int i=0; - Py_ssize_t size; - void** base_vtables; - __Pyx_TypeName tp_base_name = NULL; - __Pyx_TypeName base_name = NULL; - void* unknown = (void*)-1; - PyObject* bases = __Pyx_PyType_GetSlot(type, tp_bases, PyObject*); - int base_depth = 0; - { - PyTypeObject* base = __Pyx_PyType_GetSlot(type, tp_base, PyTypeObject*); - while (base) { - base_depth += 1; - base = __Pyx_PyType_GetSlot(base, tp_base, PyTypeObject*); - } - } - base_vtables = (void**) PyMem_Malloc(sizeof(void*) * (size_t)(base_depth + 1)); - base_vtables[0] = unknown; -#if CYTHON_COMPILING_IN_LIMITED_API - size = PyTuple_Size(bases); - if (size < 0) goto other_failure; -#else - size = PyTuple_GET_SIZE(bases); -#endif - for (i = 1; i < size; i++) { - PyObject *basei; - void* base_vtable; -#if CYTHON_AVOID_BORROWED_REFS - basei = PySequence_GetItem(bases, i); - if (unlikely(!basei)) goto other_failure; -#elif !CYTHON_ASSUME_SAFE_MACROS - basei = PyTuple_GetItem(bases, i); - if (unlikely(!basei)) goto other_failure; -#else - basei = PyTuple_GET_ITEM(bases, i); -#endif - base_vtable = __Pyx_GetVtable((PyTypeObject*)basei); -#if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(basei); -#endif - if (base_vtable != NULL) { - int j; - PyTypeObject* base = __Pyx_PyType_GetSlot(type, tp_base, PyTypeObject*); - for (j = 0; j < base_depth; j++) { - if (base_vtables[j] == unknown) { - base_vtables[j] = __Pyx_GetVtable(base); - base_vtables[j + 1] = unknown; - } - if (base_vtables[j] == base_vtable) { - break; - } else if (base_vtables[j] == NULL) { - goto bad; - } - base = __Pyx_PyType_GetSlot(base, tp_base, PyTypeObject*); - } - } - } - PyErr_Clear(); - PyMem_Free(base_vtables); - return 0; -bad: - { - PyTypeObject* basei = NULL; - PyTypeObject* tp_base = __Pyx_PyType_GetSlot(type, tp_base, PyTypeObject*); - tp_base_name = __Pyx_PyType_GetFullyQualifiedName(tp_base); -#if CYTHON_AVOID_BORROWED_REFS - basei = (PyTypeObject*)PySequence_GetItem(bases, i); - if (unlikely(!basei)) goto really_bad; -#elif !CYTHON_ASSUME_SAFE_MACROS - basei = (PyTypeObject*)PyTuple_GetItem(bases, i); - if (unlikely(!basei)) goto really_bad; -#else - basei = (PyTypeObject*)PyTuple_GET_ITEM(bases, i); -#endif - base_name = __Pyx_PyType_GetFullyQualifiedName(basei); -#if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(basei); -#endif - } - PyErr_Format(PyExc_TypeError, - "multiple bases have vtable conflict: '" __Pyx_FMT_TYPENAME "' and '" __Pyx_FMT_TYPENAME "'", tp_base_name, base_name); -#if CYTHON_AVOID_BORROWED_REFS || !CYTHON_ASSUME_SAFE_MACROS -really_bad: // bad has failed! -#endif - __Pyx_DECREF_TypeName(tp_base_name); - __Pyx_DECREF_TypeName(base_name); -#if CYTHON_COMPILING_IN_LIMITED_API || CYTHON_AVOID_BORROWED_REFS || !CYTHON_ASSUME_SAFE_MACROS -other_failure: -#endif - PyMem_Free(base_vtables); - return -1; -} - -/* DelItemOnTypeDict (used by SetupReduce) */ -static int __Pyx__DelItemOnTypeDict(PyTypeObject *tp, PyObject *k) { - int result; - PyObject *tp_dict; -#if CYTHON_COMPILING_IN_LIMITED_API - tp_dict = __Pyx_GetTypeDict(tp); - if (unlikely(!tp_dict)) return -1; -#else - tp_dict = tp->tp_dict; -#endif - result = PyDict_DelItem(tp_dict, k); - if (likely(!result)) PyType_Modified(tp); - return result; -} - -/* SetupReduce */ -static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { - int ret; - PyObject *name_attr; - name_attr = __Pyx_PyObject_GetAttrStrNoError(meth, __pyx_mstate_global->__pyx_n_u_name_2); - if (likely(name_attr)) { - ret = PyObject_RichCompareBool(name_attr, name, Py_EQ); - } else { - ret = -1; - } - if (unlikely(ret < 0)) { - PyErr_Clear(); - ret = 0; - } - Py_XDECREF(name_attr); - return ret; -} -static int __Pyx_setup_reduce(PyObject* type_obj) { - int ret = 0; - PyObject *object_reduce = NULL; - PyObject *object_getstate = NULL; - PyObject *object_reduce_ex = NULL; - PyObject *reduce = NULL; - PyObject *reduce_ex = NULL; - PyObject *reduce_cython = NULL; - PyObject *setstate = NULL; - PyObject *setstate_cython = NULL; - PyObject *getstate = NULL; -#if CYTHON_USE_PYTYPE_LOOKUP - getstate = _PyType_Lookup((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_getstate); -#else - getstate = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_mstate_global->__pyx_n_u_getstate); - if (!getstate && PyErr_Occurred()) { - goto __PYX_BAD; - } -#endif - if (getstate) { -#if CYTHON_USE_PYTYPE_LOOKUP - object_getstate = _PyType_Lookup(&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_getstate); -#else - object_getstate = __Pyx_PyObject_GetAttrStrNoError((PyObject*)&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_getstate); - if (!object_getstate && PyErr_Occurred()) { - goto __PYX_BAD; - } -#endif - if (object_getstate != getstate) { - goto __PYX_GOOD; - } - } -#if CYTHON_USE_PYTYPE_LOOKUP - object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; -#else - object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD; -#endif - reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_mstate_global->__pyx_n_u_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD; - if (reduce_ex == object_reduce_ex) { -#if CYTHON_USE_PYTYPE_LOOKUP - object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_reduce); if (!object_reduce) goto __PYX_BAD; -#else - object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_mstate_global->__pyx_n_u_reduce); if (!object_reduce) goto __PYX_BAD; -#endif - reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_mstate_global->__pyx_n_u_reduce); if (unlikely(!reduce)) goto __PYX_BAD; - if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_mstate_global->__pyx_n_u_reduce_cython)) { - reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_mstate_global->__pyx_n_u_reduce_cython); - if (likely(reduce_cython)) { - ret = __Pyx_SetItemOnTypeDict((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - ret = __Pyx_DelItemOnTypeDict((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - } else if (reduce == object_reduce || PyErr_Occurred()) { - goto __PYX_BAD; - } - setstate = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_mstate_global->__pyx_n_u_setstate); - if (!setstate) PyErr_Clear(); - if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_mstate_global->__pyx_n_u_setstate_cython)) { - setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_mstate_global->__pyx_n_u_setstate_cython); - if (likely(setstate_cython)) { - ret = __Pyx_SetItemOnTypeDict((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - ret = __Pyx_DelItemOnTypeDict((PyTypeObject*)type_obj, __pyx_mstate_global->__pyx_n_u_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD; - } else if (!setstate || PyErr_Occurred()) { - goto __PYX_BAD; - } - } - PyType_Modified((PyTypeObject*)type_obj); - } - } - goto __PYX_GOOD; -__PYX_BAD: - if (!PyErr_Occurred()) { - __Pyx_TypeName type_obj_name = - __Pyx_PyType_GetFullyQualifiedName((PyTypeObject*)type_obj); - PyErr_Format(PyExc_RuntimeError, - "Unable to initialize pickling for " __Pyx_FMT_TYPENAME, type_obj_name); - __Pyx_DECREF_TypeName(type_obj_name); - } - ret = -1; -__PYX_GOOD: -#if !CYTHON_USE_PYTYPE_LOOKUP - Py_XDECREF(object_reduce); - Py_XDECREF(object_reduce_ex); - Py_XDECREF(object_getstate); - Py_XDECREF(getstate); -#endif - Py_XDECREF(reduce); - Py_XDECREF(reduce_ex); - Py_XDECREF(reduce_cython); - Py_XDECREF(setstate); - Py_XDECREF(setstate_cython); - return ret; -} - -/* ImportFrom */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { - PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); - if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) { - const char* module_name_str = 0; - PyObject* module_name = 0; - PyObject* module_dot = 0; - PyObject* full_name = 0; - PyErr_Clear(); - module_name_str = PyModule_GetName(module); - if (unlikely(!module_name_str)) { goto modbad; } - module_name = PyUnicode_FromString(module_name_str); - if (unlikely(!module_name)) { goto modbad; } - module_dot = PyUnicode_Concat(module_name, __pyx_mstate_global->__pyx_kp_u__2); - if (unlikely(!module_dot)) { goto modbad; } - full_name = PyUnicode_Concat(module_dot, name); - if (unlikely(!full_name)) { goto modbad; } - #if (CYTHON_COMPILING_IN_PYPY && PYPY_VERSION_NUM < 0x07030400) ||\ - CYTHON_COMPILING_IN_GRAAL - { - PyObject *modules = PyImport_GetModuleDict(); - if (unlikely(!modules)) - goto modbad; - value = PyObject_GetItem(modules, full_name); - } - #else - value = PyImport_GetModule(full_name); - #endif - modbad: - Py_XDECREF(full_name); - Py_XDECREF(module_dot); - Py_XDECREF(module_name); - } - if (unlikely(!value)) { - PyErr_Format(PyExc_ImportError, "cannot import name %S", name); - } - return value; -} - -/* dict_setdefault (used by FetchCommonType) */ -static CYTHON_INLINE PyObject *__Pyx_PyDict_SetDefault(PyObject *d, PyObject *key, PyObject *default_value) { - PyObject* value; -#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX >= 0x030C0000 - PyObject *args[] = {d, key, default_value}; - value = PyObject_VectorcallMethod(__pyx_mstate_global->__pyx_n_u_setdefault, args, 3 | PY_VECTORCALL_ARGUMENTS_OFFSET, NULL); -#elif CYTHON_COMPILING_IN_LIMITED_API - value = PyObject_CallMethodObjArgs(d, __pyx_mstate_global->__pyx_n_u_setdefault, key, default_value, NULL); -#elif PY_VERSION_HEX >= 0x030d0000 - PyDict_SetDefaultRef(d, key, default_value, &value); -#else - value = PyDict_SetDefault(d, key, default_value); - if (unlikely(!value)) return NULL; - Py_INCREF(value); -#endif - return value; -} - -/* AddModuleRef (used by FetchSharedCythonModule) */ -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - static PyObject *__Pyx_PyImport_AddModuleObjectRef(PyObject *name) { - PyObject *module_dict = PyImport_GetModuleDict(); - PyObject *m; - if (PyMapping_GetOptionalItem(module_dict, name, &m) < 0) { - return NULL; - } - if (m != NULL && PyModule_Check(m)) { - return m; - } - Py_XDECREF(m); - m = PyModule_NewObject(name); - if (m == NULL) - return NULL; - if (PyDict_CheckExact(module_dict)) { - PyObject *new_m; - (void)PyDict_SetDefaultRef(module_dict, name, m, &new_m); - Py_DECREF(m); - return new_m; - } else { - if (PyObject_SetItem(module_dict, name, m) != 0) { - Py_DECREF(m); - return NULL; - } - return m; - } - } - static PyObject *__Pyx_PyImport_AddModuleRef(const char *name) { - PyObject *py_name = PyUnicode_FromString(name); - if (!py_name) return NULL; - PyObject *module = __Pyx_PyImport_AddModuleObjectRef(py_name); - Py_DECREF(py_name); - return module; - } -#elif __PYX_LIMITED_VERSION_HEX >= 0x030d0000 - #define __Pyx_PyImport_AddModuleRef(name) PyImport_AddModuleRef(name) -#else - static PyObject *__Pyx_PyImport_AddModuleRef(const char *name) { - PyObject *module = PyImport_AddModule(name); - Py_XINCREF(module); - return module; - } -#endif - -/* FetchSharedCythonModule (used by FetchCommonType) */ -static PyObject *__Pyx_FetchSharedCythonABIModule(void) { - return __Pyx_PyImport_AddModuleRef(__PYX_ABI_MODULE_NAME); -} - -/* FetchCommonType (used by CommonTypesMetaclass) */ -#if __PYX_LIMITED_VERSION_HEX < 0x030C0000 -static PyObject* __Pyx_PyType_FromMetaclass(PyTypeObject *metaclass, PyObject *module, PyType_Spec *spec, PyObject *bases) { - PyObject *result = __Pyx_PyType_FromModuleAndSpec(module, spec, bases); - if (result && metaclass) { - PyObject *old_tp = (PyObject*)Py_TYPE(result); - Py_INCREF((PyObject*)metaclass); -#if __PYX_LIMITED_VERSION_HEX >= 0x03090000 - Py_SET_TYPE(result, metaclass); -#else - result->ob_type = metaclass; -#endif - Py_DECREF(old_tp); - } - return result; -} -#else -#define __Pyx_PyType_FromMetaclass(me, mo, s, b) PyType_FromMetaclass(me, mo, s, b) -#endif -static int __Pyx_VerifyCachedType(PyObject *cached_type, - const char *name, - Py_ssize_t expected_basicsize) { - Py_ssize_t basicsize; - if (!PyType_Check(cached_type)) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s is not a type object", name); - return -1; - } - if (expected_basicsize == 0) { - return 0; // size is inherited, nothing useful to check - } -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *py_basicsize; - py_basicsize = PyObject_GetAttrString(cached_type, "__basicsize__"); - if (unlikely(!py_basicsize)) return -1; - basicsize = PyLong_AsSsize_t(py_basicsize); - Py_DECREF(py_basicsize); - py_basicsize = NULL; - if (unlikely(basicsize == (Py_ssize_t)-1) && PyErr_Occurred()) return -1; -#else - basicsize = ((PyTypeObject*) cached_type)->tp_basicsize; -#endif - if (basicsize != expected_basicsize) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s has the wrong size, try recompiling", - name); - return -1; - } - return 0; -} -static PyTypeObject *__Pyx_FetchCommonTypeFromSpec(PyTypeObject *metaclass, PyObject *module, PyType_Spec *spec, PyObject *bases) { - PyObject *abi_module = NULL, *cached_type = NULL, *abi_module_dict, *new_cached_type, *py_object_name; - int get_item_ref_result; - const char* object_name = strrchr(spec->name, '.'); - object_name = object_name ? object_name+1 : spec->name; - py_object_name = PyUnicode_FromString(object_name); - if (!py_object_name) return NULL; - abi_module = __Pyx_FetchSharedCythonABIModule(); - if (!abi_module) goto done; - abi_module_dict = PyModule_GetDict(abi_module); - if (!abi_module_dict) goto done; - get_item_ref_result = __Pyx_PyDict_GetItemRef(abi_module_dict, py_object_name, &cached_type); - if (get_item_ref_result == 1) { - if (__Pyx_VerifyCachedType( - cached_type, - object_name, - spec->basicsize) < 0) { - goto bad; - } - goto done; - } else if (unlikely(get_item_ref_result == -1)) { - goto bad; - } - cached_type = __Pyx_PyType_FromMetaclass( - metaclass, - CYTHON_USE_MODULE_STATE ? module : abi_module, - spec, bases); - if (unlikely(!cached_type)) goto bad; - if (unlikely(__Pyx_fix_up_extension_type_from_spec(spec, (PyTypeObject *) cached_type) < 0)) goto bad; - new_cached_type = __Pyx_PyDict_SetDefault(abi_module_dict, py_object_name, cached_type); - if (unlikely(new_cached_type != cached_type)) { - if (unlikely(!new_cached_type)) goto bad; - Py_DECREF(cached_type); - cached_type = new_cached_type; - if (__Pyx_VerifyCachedType( - cached_type, - object_name, - spec->basicsize) < 0) { - goto bad; - } - goto done; - } else { - Py_DECREF(new_cached_type); - } -done: - Py_XDECREF(abi_module); - Py_DECREF(py_object_name); - assert(cached_type == NULL || PyType_Check(cached_type)); - return (PyTypeObject *) cached_type; -bad: - Py_XDECREF(cached_type); - cached_type = NULL; - goto done; -} - -/* CommonTypesMetaclass (used by CythonFunctionShared) */ -static PyObject* __pyx_CommonTypesMetaclass_get_module(CYTHON_UNUSED PyObject *self, CYTHON_UNUSED void* context) { - return PyUnicode_FromString(__PYX_ABI_MODULE_NAME); -} -#if __PYX_LIMITED_VERSION_HEX < 0x030A0000 -static PyObject* __pyx_CommonTypesMetaclass_call(CYTHON_UNUSED PyObject *self, CYTHON_UNUSED PyObject *args, CYTHON_UNUSED PyObject *kwds) { - PyErr_SetString(PyExc_TypeError, "Cannot instantiate Cython internal types"); - return NULL; -} -static int __pyx_CommonTypesMetaclass_setattr(CYTHON_UNUSED PyObject *self, CYTHON_UNUSED PyObject *attr, CYTHON_UNUSED PyObject *value) { - PyErr_SetString(PyExc_TypeError, "Cython internal types are immutable"); - return -1; -} -#endif -static PyGetSetDef __pyx_CommonTypesMetaclass_getset[] = { - {"__module__", __pyx_CommonTypesMetaclass_get_module, NULL, NULL, NULL}, - {0, 0, 0, 0, 0} -}; -static PyType_Slot __pyx_CommonTypesMetaclass_slots[] = { - {Py_tp_getset, (void *)__pyx_CommonTypesMetaclass_getset}, - #if __PYX_LIMITED_VERSION_HEX < 0x030A0000 - {Py_tp_call, (void*)__pyx_CommonTypesMetaclass_call}, - {Py_tp_new, (void*)__pyx_CommonTypesMetaclass_call}, - {Py_tp_setattro, (void*)__pyx_CommonTypesMetaclass_setattr}, - #endif - {0, 0} -}; -static PyType_Spec __pyx_CommonTypesMetaclass_spec = { - __PYX_TYPE_MODULE_PREFIX "_common_types_metatype", - 0, - 0, - Py_TPFLAGS_IMMUTABLETYPE | - Py_TPFLAGS_DISALLOW_INSTANTIATION | - Py_TPFLAGS_DEFAULT, - __pyx_CommonTypesMetaclass_slots -}; -static int __pyx_CommonTypesMetaclass_init(PyObject *module) { - __pyx_mstatetype *mstate = __Pyx_PyModule_GetState(module); - PyObject *bases = PyTuple_Pack(1, &PyType_Type); - if (unlikely(!bases)) { - return -1; - } - mstate->__pyx_CommonTypesMetaclassType = __Pyx_FetchCommonTypeFromSpec(NULL, module, &__pyx_CommonTypesMetaclass_spec, bases); - Py_DECREF(bases); - if (unlikely(mstate->__pyx_CommonTypesMetaclassType == NULL)) { - return -1; - } - return 0; -} - -/* PyMethodNew (used by CythonFunctionShared) */ -#if CYTHON_COMPILING_IN_LIMITED_API -static PyObject *__Pyx_PyMethod_New(PyObject *func, PyObject *self, PyObject *typ) { - PyObject *result; - CYTHON_UNUSED_VAR(typ); - if (!self) - return __Pyx_NewRef(func); - #if __PYX_LIMITED_VERSION_HEX >= 0x030C0000 - { - PyObject *args[] = {func, self}; - result = PyObject_Vectorcall(__pyx_mstate_global->__Pyx_CachedMethodType, args, 2, NULL); - } - #else - result = PyObject_CallFunctionObjArgs(__pyx_mstate_global->__Pyx_CachedMethodType, func, self, NULL); - #endif - return result; -} -#else -static PyObject *__Pyx_PyMethod_New(PyObject *func, PyObject *self, PyObject *typ) { - CYTHON_UNUSED_VAR(typ); - if (!self) - return __Pyx_NewRef(func); - return PyMethod_New(func, self); -} -#endif - -/* PyVectorcallFastCallDict (used by CythonFunctionShared) */ -#if CYTHON_METH_FASTCALL && CYTHON_VECTORCALL -static PyObject *__Pyx_PyVectorcall_FastCallDict_kw(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) -{ - PyObject *res = NULL; - PyObject *kwnames; - PyObject **newargs; - PyObject **kwvalues; - Py_ssize_t i; - #if CYTHON_AVOID_BORROWED_REFS - PyObject *pos; - #else - Py_ssize_t pos; - #endif - size_t j; - PyObject *key, *value; - unsigned long keys_are_strings; - #if !CYTHON_ASSUME_SAFE_SIZE - Py_ssize_t nkw = PyDict_Size(kw); - if (unlikely(nkw == -1)) return NULL; - #else - Py_ssize_t nkw = PyDict_GET_SIZE(kw); - #endif - newargs = (PyObject **)PyMem_Malloc((nargs + (size_t)nkw) * sizeof(args[0])); - if (unlikely(newargs == NULL)) { - PyErr_NoMemory(); - return NULL; - } - for (j = 0; j < nargs; j++) newargs[j] = args[j]; - kwnames = PyTuple_New(nkw); - if (unlikely(kwnames == NULL)) { - PyMem_Free(newargs); - return NULL; - } - kwvalues = newargs + nargs; - pos = 0; - i = 0; - keys_are_strings = Py_TPFLAGS_UNICODE_SUBCLASS; - while (__Pyx_PyDict_NextRef(kw, &pos, &key, &value)) { - keys_are_strings &= - #if CYTHON_COMPILING_IN_LIMITED_API - PyType_GetFlags(Py_TYPE(key)); - #else - Py_TYPE(key)->tp_flags; - #endif - #if !CYTHON_ASSUME_SAFE_MACROS - if (unlikely(PyTuple_SetItem(kwnames, i, key) < 0)) goto cleanup; - #else - PyTuple_SET_ITEM(kwnames, i, key); - #endif - kwvalues[i] = value; - i++; - } - if (unlikely(!keys_are_strings)) { - PyErr_SetString(PyExc_TypeError, "keywords must be strings"); - goto cleanup; - } - res = vc(func, newargs, nargs, kwnames); -cleanup: - #if CYTHON_AVOID_BORROWED_REFS - Py_DECREF(pos); - #endif - Py_DECREF(kwnames); - for (i = 0; i < nkw; i++) - Py_DECREF(kwvalues[i]); - PyMem_Free(newargs); - return res; -} -static CYTHON_INLINE PyObject *__Pyx_PyVectorcall_FastCallDict(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) -{ - Py_ssize_t kw_size = - likely(kw == NULL) ? - 0 : -#if !CYTHON_ASSUME_SAFE_SIZE - PyDict_Size(kw); -#else - PyDict_GET_SIZE(kw); -#endif - if (kw_size == 0) { - return vc(func, args, nargs, NULL); - } -#if !CYTHON_ASSUME_SAFE_SIZE - else if (unlikely(kw_size == -1)) { - return NULL; - } -#endif - return __Pyx_PyVectorcall_FastCallDict_kw(func, vc, args, nargs, kw); -} -#endif - -/* CythonFunctionShared (used by CythonFunction) */ -#if CYTHON_COMPILING_IN_LIMITED_API -static CYTHON_INLINE int __Pyx__IsSameCyOrCFunctionNoMethod(PyObject *func, void (*cfunc)(void)) { - if (__Pyx_CyFunction_Check(func)) { - return PyCFunction_GetFunction(((__pyx_CyFunctionObject*)func)->func) == (PyCFunction) cfunc; - } else if (PyCFunction_Check(func)) { - return PyCFunction_GetFunction(func) == (PyCFunction) cfunc; - } - return 0; -} -static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void (*cfunc)(void)) { - if ((PyObject*)Py_TYPE(func) == __pyx_mstate_global->__Pyx_CachedMethodType) { - int result; - PyObject *newFunc = PyObject_GetAttr(func, __pyx_mstate_global->__pyx_n_u_func); - if (unlikely(!newFunc)) { - PyErr_Clear(); // It's only an optimization, so don't throw an error - return 0; - } - result = __Pyx__IsSameCyOrCFunctionNoMethod(newFunc, cfunc); - Py_DECREF(newFunc); - return result; - } - return __Pyx__IsSameCyOrCFunctionNoMethod(func, cfunc); -} -#else -static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void (*cfunc)(void)) { - if (PyMethod_Check(func)) { - func = PyMethod_GET_FUNCTION(func); - } - return __Pyx_CyOrPyCFunction_Check(func) && __Pyx_CyOrPyCFunction_GET_FUNCTION(func) == (PyCFunction) cfunc; -} -#endif -static CYTHON_INLINE void __Pyx__CyFunction_SetClassObj(__pyx_CyFunctionObject* f, PyObject* classobj) { -#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - __Pyx_Py_XDECREF_SET( - __Pyx_CyFunction_GetClassObj(f), - ((classobj) ? __Pyx_NewRef(classobj) : NULL)); -#else - __Pyx_Py_XDECREF_SET( - ((PyCMethodObject *) (f))->mm_class, - (PyTypeObject*)((classobj) ? __Pyx_NewRef(classobj) : NULL)); -#endif -} -static PyObject * -__Pyx_CyFunction_get_doc_locked(__pyx_CyFunctionObject *op) -{ - if (unlikely(op->func_doc == NULL)) { -#if CYTHON_COMPILING_IN_LIMITED_API - op->func_doc = PyObject_GetAttrString(op->func, "__doc__"); - if (unlikely(!op->func_doc)) return NULL; -#else - if (((PyCFunctionObject*)op)->m_ml->ml_doc) { - op->func_doc = PyUnicode_FromString(((PyCFunctionObject*)op)->m_ml->ml_doc); - if (unlikely(op->func_doc == NULL)) - return NULL; - } else { - Py_INCREF(Py_None); - return Py_None; - } -#endif - } - Py_INCREF(op->func_doc); - return op->func_doc; -} -static PyObject * -__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, void *closure) { - PyObject *result; - CYTHON_UNUSED_VAR(closure); - __Pyx_BEGIN_CRITICAL_SECTION(op); - result = __Pyx_CyFunction_get_doc_locked(op); - __Pyx_END_CRITICAL_SECTION(); - return result; -} -static int -__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (value == NULL) { - value = Py_None; - } - Py_INCREF(value); - __Pyx_BEGIN_CRITICAL_SECTION(op); - __Pyx_Py_XDECREF_SET(op->func_doc, value); - __Pyx_END_CRITICAL_SECTION(); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_name_locked(__pyx_CyFunctionObject *op) -{ - if (unlikely(op->func_name == NULL)) { -#if CYTHON_COMPILING_IN_LIMITED_API - op->func_name = PyObject_GetAttrString(op->func, "__name__"); -#else - op->func_name = PyUnicode_InternFromString(((PyCFunctionObject*)op)->m_ml->ml_name); -#endif - if (unlikely(op->func_name == NULL)) - return NULL; - } - Py_INCREF(op->func_name); - return op->func_name; -} -static PyObject * -__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, void *context) -{ - PyObject *result = NULL; - CYTHON_UNUSED_VAR(context); - __Pyx_BEGIN_CRITICAL_SECTION(op); - result = __Pyx_CyFunction_get_name_locked(op); - __Pyx_END_CRITICAL_SECTION(); - return result; -} -static int -__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(value == NULL || !PyUnicode_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__name__ must be set to a string object"); - return -1; - } - Py_INCREF(value); - __Pyx_BEGIN_CRITICAL_SECTION(op); - __Pyx_Py_XDECREF_SET(op->func_name, value); - __Pyx_END_CRITICAL_SECTION(); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - PyObject *result; - __Pyx_BEGIN_CRITICAL_SECTION(op); - Py_INCREF(op->func_qualname); - result = op->func_qualname; - __Pyx_END_CRITICAL_SECTION(); - return result; -} -static int -__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(value == NULL || !PyUnicode_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__qualname__ must be set to a string object"); - return -1; - } - Py_INCREF(value); - __Pyx_BEGIN_CRITICAL_SECTION(op); - __Pyx_Py_XDECREF_SET(op->func_qualname, value); - __Pyx_END_CRITICAL_SECTION(); - return 0; -} -#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 -static PyObject * -__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(op->func_dict == NULL)) { - op->func_dict = PyDict_New(); - if (unlikely(op->func_dict == NULL)) - return NULL; - } - Py_INCREF(op->func_dict); - return op->func_dict; -} -#endif -static PyObject * -__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - Py_INCREF(op->func_globals); - return op->func_globals; -} -static PyObject * -__Pyx_CyFunction_get_closure(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(op); - CYTHON_UNUSED_VAR(context); - Py_INCREF(Py_None); - return Py_None; -} -static PyObject * -__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, void *context) -{ - PyObject* result = (op->func_code) ? op->func_code : Py_None; - CYTHON_UNUSED_VAR(context); - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { - int result = 0; - PyObject *res = op->defaults_getter((PyObject *) op); - if (unlikely(!res)) - return -1; - #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - op->defaults_tuple = PyTuple_GET_ITEM(res, 0); - Py_INCREF(op->defaults_tuple); - op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); - Py_INCREF(op->defaults_kwdict); - #else - op->defaults_tuple = __Pyx_PySequence_ITEM(res, 0); - if (unlikely(!op->defaults_tuple)) result = -1; - else { - op->defaults_kwdict = __Pyx_PySequence_ITEM(res, 1); - if (unlikely(!op->defaults_kwdict)) result = -1; - } - #endif - Py_DECREF(res); - return result; -} -static int -__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value) { - value = Py_None; - } else if (unlikely(value != Py_None && !PyTuple_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__defaults__ must be set to a tuple object"); - return -1; - } - PyErr_WarnEx(PyExc_RuntimeWarning, "changes to cyfunction.__defaults__ will not " - "currently affect the values used in function calls", 1); - Py_INCREF(value); - __Pyx_BEGIN_CRITICAL_SECTION(op); - __Pyx_Py_XDECREF_SET(op->defaults_tuple, value); - __Pyx_END_CRITICAL_SECTION(); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_defaults_locked(__pyx_CyFunctionObject *op) { - PyObject* result = op->defaults_tuple; 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- Py_INCREF(value); - __Pyx_BEGIN_CRITICAL_SECTION(op); - __Pyx_Py_XDECREF_SET(op->defaults_kwdict, value); - __Pyx_END_CRITICAL_SECTION(); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_kwdefaults_locked(__pyx_CyFunctionObject *op) { - PyObject* result = op->defaults_kwdict; - if (unlikely(!result)) { - if (op->defaults_getter) { - if (unlikely(__Pyx_CyFunction_init_defaults(op) < 0)) return NULL; - result = op->defaults_kwdict; - } else { - result = Py_None; - } - } - Py_INCREF(result); - return result; -} -static PyObject * -__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, void *context) { - PyObject* result; - CYTHON_UNUSED_VAR(context); - __Pyx_BEGIN_CRITICAL_SECTION(op); - result = __Pyx_CyFunction_get_kwdefaults_locked(op); - __Pyx_END_CRITICAL_SECTION(); - return result; -} -static int -__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value || value == Py_None) { - value = NULL; 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- args += 1; - nargs -= 1; - break; - case 0: -#if CYTHON_COMPILING_IN_LIMITED_API - self = PyCFunction_GetSelf(((__pyx_CyFunctionObject*)cyfunc)->func); - if (unlikely(!self) && PyErr_Occurred()) return NULL; -#else - self = ((PyCFunctionObject*)cyfunc)->m_self; -#endif - break; - default: - return NULL; - } - if (unlikely(nargs != 1)) { - __Pyx_CyFunction_raise_argument_count_error( - cyfunc, "takes exactly one argument", nargs); - return NULL; - } - return meth(self, args[0]); -} -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames) -{ - __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *)func; - Py_ssize_t nargs = PyVectorcall_NARGS(nargsf); - PyObject *self; -#if CYTHON_COMPILING_IN_LIMITED_API - PyCFunction meth = PyCFunction_GetFunction(cyfunc->func); - if (unlikely(!meth)) return NULL; -#else - PyCFunction meth = ((PyCFunctionObject*)cyfunc)->m_ml->ml_meth; -#endif - switch (__Pyx_CyFunction_Vectorcall_CheckArgs(cyfunc, nargs, NULL)) { - case 1: - self = args[0]; - args += 1; - nargs -= 1; - break; - case 0: -#if CYTHON_COMPILING_IN_LIMITED_API - self = PyCFunction_GetSelf(((__pyx_CyFunctionObject*)cyfunc)->func); - if (unlikely(!self) && PyErr_Occurred()) return NULL; -#else - self = ((PyCFunctionObject*)cyfunc)->m_self; -#endif - break; - default: - return NULL; - } - return ((__Pyx_PyCFunctionFastWithKeywords)(void(*)(void))meth)(self, args, nargs, kwnames); -} -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS_METHOD(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames) -{ - __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *)func; - PyTypeObject *cls = (PyTypeObject *) __Pyx_CyFunction_GetClassObj(cyfunc); - Py_ssize_t nargs = PyVectorcall_NARGS(nargsf); - PyObject *self; -#if CYTHON_COMPILING_IN_LIMITED_API - PyCFunction meth = PyCFunction_GetFunction(cyfunc->func); - if (unlikely(!meth)) return NULL; -#else - PyCFunction meth = ((PyCFunctionObject*)cyfunc)->m_ml->ml_meth; -#endif - switch (__Pyx_CyFunction_Vectorcall_CheckArgs(cyfunc, nargs, NULL)) { - case 1: - self = args[0]; 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-static PyType_Spec __pyx_CyFunctionType_spec = { - __PYX_TYPE_MODULE_PREFIX "cython_function_or_method", - sizeof(__pyx_CyFunctionObject), - 0, -#ifdef Py_TPFLAGS_METHOD_DESCRIPTOR - Py_TPFLAGS_METHOD_DESCRIPTOR | -#endif -#if CYTHON_METH_FASTCALL -#if defined(Py_TPFLAGS_HAVE_VECTORCALL) - Py_TPFLAGS_HAVE_VECTORCALL | -#elif defined(_Py_TPFLAGS_HAVE_VECTORCALL) - _Py_TPFLAGS_HAVE_VECTORCALL | -#endif -#endif // CYTHON_METH_FASTCALL -#if PY_VERSION_HEX >= 0x030C0000 && !CYTHON_COMPILING_IN_LIMITED_API - Py_TPFLAGS_MANAGED_DICT | -#endif - Py_TPFLAGS_IMMUTABLETYPE | Py_TPFLAGS_DISALLOW_INSTANTIATION | - Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_BASETYPE, - __pyx_CyFunctionType_slots -}; -static int __pyx_CyFunction_init(PyObject *module) { - __pyx_mstatetype *mstate = __Pyx_PyModule_GetState(module); - mstate->__pyx_CyFunctionType = __Pyx_FetchCommonTypeFromSpec( - mstate->__pyx_CommonTypesMetaclassType, module, &__pyx_CyFunctionType_spec, NULL); - if (unlikely(mstate->__pyx_CyFunctionType == NULL)) { - return -1; - } - return 0; -} -static CYTHON_INLINE PyObject *__Pyx_CyFunction_InitDefaults(PyObject *func, PyTypeObject *defaults_type) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->defaults = PyObject_CallObject((PyObject*)defaults_type, NULL); // _PyObject_New(defaults_type); - if (unlikely(!m->defaults)) - return NULL; - return m->defaults; -} -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->defaults_tuple = tuple; - Py_INCREF(tuple); -} -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->defaults_kwdict = dict; - Py_INCREF(dict); -} -static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->func_annotations = dict; - Py_INCREF(dict); -} - -/* CythonFunction */ -static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, int flags, PyObject* qualname, - PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { - PyObject *op = __Pyx_CyFunction_Init( - PyObject_GC_New(__pyx_CyFunctionObject, __pyx_mstate_global->__pyx_CyFunctionType), - ml, flags, qualname, closure, module, globals, code - ); - if (likely(op)) { - PyObject_GC_Track(op); - } - return op; -} - -/* CLineInTraceback (used by AddTraceback) */ -#if CYTHON_CLINE_IN_TRACEBACK && CYTHON_CLINE_IN_TRACEBACK_RUNTIME -#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 -#define __Pyx_PyProbablyModule_GetDict(o) __Pyx_XNewRef(PyModule_GetDict(o)) -#elif !CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_CPYTHON_FREETHREADING -#define __Pyx_PyProbablyModule_GetDict(o) PyObject_GenericGetDict(o, NULL); -#else -PyObject* __Pyx_PyProbablyModule_GetDict(PyObject *o) { - PyObject **dict_ptr = _PyObject_GetDictPtr(o); - return dict_ptr ? __Pyx_XNewRef(*dict_ptr) : NULL; -} -#endif -static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { - PyObject *use_cline = NULL; - PyObject *ptype, *pvalue, *ptraceback; - PyObject *cython_runtime_dict; - CYTHON_MAYBE_UNUSED_VAR(tstate); - if (unlikely(!__pyx_mstate_global->__pyx_cython_runtime)) { - return c_line; - } - __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); - cython_runtime_dict = __Pyx_PyProbablyModule_GetDict(__pyx_mstate_global->__pyx_cython_runtime); - if (likely(cython_runtime_dict)) { - __PYX_PY_DICT_LOOKUP_IF_MODIFIED( - use_cline, cython_runtime_dict, - __Pyx_PyDict_SetDefault(cython_runtime_dict, __pyx_mstate_global->__pyx_n_u_cline_in_traceback, Py_False)) - } - if (use_cline == NULL || use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { - c_line = 0; - } - Py_XDECREF(use_cline); - Py_XDECREF(cython_runtime_dict); - __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); - return c_line; -} -#endif - -/* CodeObjectCache (used by AddTraceback) */ -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { - int start = 0, mid = 0, end = count - 1; - if (end >= 0 && code_line > entries[end].code_line) { - return count; - } - while (start < end) { - mid = start + (end - start) / 2; - if (code_line < entries[mid].code_line) { - end = mid; - } else if (code_line > entries[mid].code_line) { - start = mid + 1; - } else { - return mid; - } - } - if (code_line <= entries[mid].code_line) { - return mid; - } else { - return mid + 1; - } -} -static __Pyx_CachedCodeObjectType *__pyx__find_code_object(struct __Pyx_CodeObjectCache *code_cache, int code_line) { - __Pyx_CachedCodeObjectType* code_object; - int pos; - if (unlikely(!code_line) || unlikely(!code_cache->entries)) { - return NULL; - } - pos = __pyx_bisect_code_objects(code_cache->entries, code_cache->count, code_line); - if (unlikely(pos >= code_cache->count) || unlikely(code_cache->entries[pos].code_line != code_line)) { - return NULL; - } - code_object = code_cache->entries[pos].code_object; - Py_INCREF(code_object); - return code_object; -} -static __Pyx_CachedCodeObjectType *__pyx_find_code_object(int code_line) { -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING && !CYTHON_ATOMICS - (void)__pyx__find_code_object; - return NULL; // Most implementation should have atomics. But otherwise, don't make it thread-safe, just miss. -#else - struct __Pyx_CodeObjectCache *code_cache = &__pyx_mstate_global->__pyx_code_cache; -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - __pyx_nonatomic_int_type old_count = __pyx_atomic_incr_acq_rel(&code_cache->accessor_count); - if (old_count < 0) { - __pyx_atomic_decr_acq_rel(&code_cache->accessor_count); - return NULL; - } -#endif - __Pyx_CachedCodeObjectType *result = __pyx__find_code_object(code_cache, code_line); -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - __pyx_atomic_decr_acq_rel(&code_cache->accessor_count); -#endif - return result; -#endif -} -static void __pyx__insert_code_object(struct __Pyx_CodeObjectCache *code_cache, int code_line, __Pyx_CachedCodeObjectType* code_object) -{ - int pos, i; - __Pyx_CodeObjectCacheEntry* entries = code_cache->entries; - if (unlikely(!code_line)) { - return; - } - if (unlikely(!entries)) { - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); - if (likely(entries)) { - code_cache->entries = entries; - code_cache->max_count = 64; - code_cache->count = 1; - entries[0].code_line = code_line; - entries[0].code_object = code_object; - Py_INCREF(code_object); - } - return; - } - pos = __pyx_bisect_code_objects(code_cache->entries, code_cache->count, code_line); - if ((pos < code_cache->count) && unlikely(code_cache->entries[pos].code_line == code_line)) { - __Pyx_CachedCodeObjectType* tmp = entries[pos].code_object; - entries[pos].code_object = code_object; - Py_INCREF(code_object); - Py_DECREF(tmp); - return; - } - if (code_cache->count == code_cache->max_count) { - int new_max = code_cache->max_count + 64; - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( - code_cache->entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry)); - if (unlikely(!entries)) { - return; - } - code_cache->entries = entries; - code_cache->max_count = new_max; - } - for (i=code_cache->count; i>pos; i--) { - entries[i] = entries[i-1]; - } - entries[pos].code_line = code_line; - entries[pos].code_object = code_object; - code_cache->count++; - Py_INCREF(code_object); -} -static void __pyx_insert_code_object(int code_line, __Pyx_CachedCodeObjectType* code_object) { -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING && !CYTHON_ATOMICS - (void)__pyx__insert_code_object; - return; // Most implementation should have atomics. But otherwise, don't make it thread-safe, just fail. -#else - struct __Pyx_CodeObjectCache *code_cache = &__pyx_mstate_global->__pyx_code_cache; -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - __pyx_nonatomic_int_type expected = 0; - if (!__pyx_atomic_int_cmp_exchange(&code_cache->accessor_count, &expected, INT_MIN)) { - return; - } -#endif - __pyx__insert_code_object(code_cache, code_line, code_object); -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - __pyx_atomic_sub(&code_cache->accessor_count, INT_MIN); -#endif -#endif -} - -/* AddTraceback */ -#include "compile.h" -#include "frameobject.h" -#include "traceback.h" -#if PY_VERSION_HEX >= 0x030b00a6 && !CYTHON_COMPILING_IN_LIMITED_API && !defined(PYPY_VERSION) - #ifndef Py_BUILD_CORE - #define Py_BUILD_CORE 1 - #endif - #include "internal/pycore_frame.h" -#endif -#if CYTHON_COMPILING_IN_LIMITED_API -static PyObject *__Pyx_PyCode_Replace_For_AddTraceback(PyObject *code, PyObject *scratch_dict, - PyObject *firstlineno, PyObject *name) { - PyObject *replace = NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "co_firstlineno", firstlineno))) return NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "co_name", name))) return NULL; - replace = PyObject_GetAttrString(code, "replace"); - if (likely(replace)) { - PyObject *result = PyObject_Call(replace, __pyx_mstate_global->__pyx_empty_tuple, scratch_dict); - Py_DECREF(replace); - return result; - } - PyErr_Clear(); - return NULL; -} -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - PyObject *code_object = NULL, *py_py_line = NULL, *py_funcname = NULL, *dict = NULL; - PyObject *replace = NULL, *getframe = NULL, *frame = NULL; - PyObject *exc_type, *exc_value, *exc_traceback; - int success = 0; - if (c_line) { - c_line = __Pyx_CLineForTraceback(__Pyx_PyThreadState_Current, c_line); - } - PyErr_Fetch(&exc_type, &exc_value, &exc_traceback); - code_object = __pyx_find_code_object(c_line ? -c_line : py_line); - if (!code_object) { - code_object = Py_CompileString("_getframe()", filename, Py_eval_input); - if (unlikely(!code_object)) goto bad; - py_py_line = PyLong_FromLong(py_line); - if (unlikely(!py_py_line)) goto bad; - if (c_line) { - py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - } else { - py_funcname = PyUnicode_FromString(funcname); - } - if (unlikely(!py_funcname)) goto bad; - dict = PyDict_New(); - if (unlikely(!dict)) goto bad; - { - PyObject *old_code_object = code_object; - code_object = __Pyx_PyCode_Replace_For_AddTraceback(code_object, dict, py_py_line, py_funcname); - Py_DECREF(old_code_object); - } - if (unlikely(!code_object)) goto bad; - __pyx_insert_code_object(c_line ? -c_line : py_line, code_object); - } else { - dict = PyDict_New(); - } - getframe = PySys_GetObject("_getframe"); - if (unlikely(!getframe)) goto bad; - if (unlikely(PyDict_SetItemString(dict, "_getframe", getframe))) goto bad; - frame = PyEval_EvalCode(code_object, dict, dict); - if (unlikely(!frame) || frame == Py_None) goto bad; - success = 1; - bad: - PyErr_Restore(exc_type, exc_value, exc_traceback); - Py_XDECREF(code_object); - Py_XDECREF(py_py_line); - Py_XDECREF(py_funcname); - Py_XDECREF(dict); - Py_XDECREF(replace); - if (success) { - PyTraceBack_Here( - (struct _frame*)frame); - } - Py_XDECREF(frame); -} -#else -static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( - const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = NULL; - PyObject *py_funcname = NULL; - if (c_line) { - py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - if (!py_funcname) goto bad; - funcname = PyUnicode_AsUTF8(py_funcname); - if (!funcname) goto bad; - } - py_code = PyCode_NewEmpty(filename, funcname, py_line); - Py_XDECREF(py_funcname); - return py_code; -bad: - Py_XDECREF(py_funcname); - return NULL; -} -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = 0; - PyFrameObject *py_frame = 0; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject *ptype, *pvalue, *ptraceback; - if (c_line) { - c_line = __Pyx_CLineForTraceback(tstate, c_line); - } - py_code = __pyx_find_code_object(c_line ? -c_line : py_line); - if (!py_code) { - __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); - py_code = __Pyx_CreateCodeObjectForTraceback( - funcname, c_line, py_line, filename); - if (!py_code) { - /* If the code object creation fails, then we should clear the - fetched exception references and propagate the new exception */ - Py_XDECREF(ptype); - Py_XDECREF(pvalue); - Py_XDECREF(ptraceback); - goto bad; - } - __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); - __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); - } - py_frame = PyFrame_New( - tstate, /*PyThreadState *tstate,*/ - py_code, /*PyCodeObject *code,*/ - __pyx_mstate_global->__pyx_d, /*PyObject *globals,*/ - 0 /*PyObject *locals*/ - ); - if (!py_frame) goto bad; - __Pyx_PyFrame_SetLineNumber(py_frame, py_line); - PyTraceBack_Here(py_frame); -bad: - Py_XDECREF(py_code); - Py_XDECREF(py_frame); -} -#endif - -/* MemviewRefcount */ -#include -#ifndef _Py_NO_RETURN -#define _Py_NO_RETURN -#endif -_Py_NO_RETURN -static void __pyx_fatalerror(const char *fmt, ...) { - va_list vargs; - char msg[200]; -#if PY_VERSION_HEX >= 0x030A0000 || defined(HAVE_STDARG_PROTOTYPES) - va_start(vargs, fmt); -#else - va_start(vargs); -#endif - vsnprintf(msg, 200, fmt, vargs); - va_end(vargs); - Py_FatalError(msg); -} -static CYTHON_INLINE int -__pyx_add_acquisition_count_locked(__pyx_atomic_int_type *acquisition_count, - PyThread_type_lock lock) -{ - int result; - PyThread_acquire_lock(lock, 1); - result = (*acquisition_count)++; - PyThread_release_lock(lock); - return result; -} -static CYTHON_INLINE int -__pyx_sub_acquisition_count_locked(__pyx_atomic_int_type *acquisition_count, - PyThread_type_lock lock) -{ - int result; - PyThread_acquire_lock(lock, 1); - result = (*acquisition_count)--; - PyThread_release_lock(lock); - return result; -} -static CYTHON_INLINE void -__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) -{ - __pyx_nonatomic_int_type old_acquisition_count; - struct __pyx_memoryview_obj *memview = memslice->memview; - if (unlikely(!memview || (PyObject *) memview == Py_None)) { - return; - } - old_acquisition_count = __pyx_add_acquisition_count(memview); - if (unlikely(old_acquisition_count <= 0)) { - if (likely(old_acquisition_count == 0)) { - if (have_gil) { - Py_INCREF((PyObject *) memview); - } else { - PyGILState_STATE _gilstate = PyGILState_Ensure(); - Py_INCREF((PyObject *) memview); - PyGILState_Release(_gilstate); - } - } else { - __pyx_fatalerror("Acquisition count is %d (line %d)", - old_acquisition_count+1, lineno); - } - } -} -static CYTHON_INLINE void __Pyx_XCLEAR_MEMVIEW(__Pyx_memviewslice *memslice, - int have_gil, int lineno) { - __pyx_nonatomic_int_type old_acquisition_count; - struct __pyx_memoryview_obj *memview = memslice->memview; - if (unlikely(!memview || (PyObject *) memview == Py_None)) { - memslice->memview = NULL; - return; - } - old_acquisition_count = __pyx_sub_acquisition_count(memview); - memslice->data = NULL; - if (likely(old_acquisition_count > 1)) { - memslice->memview = NULL; - } else if (likely(old_acquisition_count == 1)) { - if (have_gil) { - Py_CLEAR(memslice->memview); - } else { - PyGILState_STATE _gilstate = PyGILState_Ensure(); - Py_CLEAR(memslice->memview); - PyGILState_Release(_gilstate); - } - } else { - __pyx_fatalerror("Acquisition count is %d (line %d)", - old_acquisition_count-1, lineno); - } -} - -/* MemviewSliceIsContig */ -static int -__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) -{ - int i, index, step, start; - Py_ssize_t itemsize = mvs.memview->view.itemsize; - if (order == 'F') { - step = 1; - start = 0; - } else { - step = -1; - start = ndim - 1; - } - for (i = 0; i < ndim; i++) { - index = start + step * i; - if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize) - return 0; - itemsize *= mvs.shape[index]; - } - return 1; -} - -/* OverlappingSlices */ -static void -__pyx_get_array_memory_extents(__Pyx_memviewslice *slice, - void **out_start, void **out_end, - int ndim, size_t itemsize) -{ - char *start, *end; - int i; - start = end = slice->data; - for (i = 0; i < ndim; i++) { - Py_ssize_t stride = slice->strides[i]; - Py_ssize_t extent = slice->shape[i]; - if (extent == 0) { - *out_start = *out_end = start; - return; - } else { - if (stride > 0) - end += stride * (extent - 1); - else - start += stride * (extent - 1); - } - } - *out_start = start; - *out_end = end + itemsize; -} -static int -__pyx_slices_overlap(__Pyx_memviewslice *slice1, - __Pyx_memviewslice *slice2, - int ndim, size_t itemsize) -{ - void *start1, *end1, *start2, *end2; - __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); - __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); - return (start1 < end2) && (start2 < end1); -} - -/* MemviewSliceInit */ -static int -__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, - int ndim, - __Pyx_memviewslice *memviewslice, - int memview_is_new_reference) -{ - __Pyx_RefNannyDeclarations - int i, retval=-1; - Py_buffer *buf = &memview->view; - __Pyx_RefNannySetupContext("init_memviewslice", 0); - if (unlikely(memviewslice->memview || memviewslice->data)) { - PyErr_SetString(PyExc_ValueError, - "memviewslice is already initialized!"); - goto fail; - } - if (buf->strides) { - for (i = 0; i < ndim; i++) { - memviewslice->strides[i] = buf->strides[i]; - } - } else { - Py_ssize_t stride = buf->itemsize; - for (i = ndim - 1; i >= 0; i--) { - memviewslice->strides[i] = stride; - stride *= buf->shape[i]; - } - } - for (i = 0; i < ndim; i++) { - memviewslice->shape[i] = buf->shape[i]; - if (buf->suboffsets) { - memviewslice->suboffsets[i] = buf->suboffsets[i]; - } else { - memviewslice->suboffsets[i] = -1; - } - } - memviewslice->memview = memview; - memviewslice->data = (char *)buf->buf; - if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { - Py_INCREF((PyObject*)memview); - } - retval = 0; - goto no_fail; -fail: - memviewslice->memview = 0; - memviewslice->data = 0; - retval = -1; -no_fail: - __Pyx_RefNannyFinishContext(); - return retval; -} - -/* IsLittleEndian (used by BufferFormatCheck) */ -static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) -{ - union { - uint32_t u32; - uint8_t u8[4]; - } S; - S.u32 = 0x01020304; - return S.u8[0] == 4; -} - -/* BufferFormatCheck (used by MemviewSliceValidateAndInit) */ -static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, - __Pyx_BufFmt_StackElem* stack, - const __Pyx_TypeInfo* type) { - stack[0].field = &ctx->root; - stack[0].parent_offset = 0; - ctx->root.type = type; - ctx->root.name = "buffer dtype"; - ctx->root.offset = 0; - ctx->head = stack; - ctx->head->field = &ctx->root; - ctx->fmt_offset = 0; - ctx->head->parent_offset = 0; - ctx->new_packmode = '@'; - ctx->enc_packmode = '@'; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->is_complex = 0; - ctx->is_valid_array = 0; - ctx->struct_alignment = 0; - while (type->typegroup == 'S') { - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = 0; - type = type->fields->type; - } -} -static int __Pyx_BufFmt_ParseNumber(const char** ts) { - int count; - const char* t = *ts; - if (*t < '0' || *t > '9') { - return -1; - } else { - count = *t++ - '0'; - while (*t >= '0' && *t <= '9') { - count *= 10; - count += *t++ - '0'; - } - } - *ts = t; - return count; -} -static int __Pyx_BufFmt_ExpectNumber(const char **ts) { - int number = __Pyx_BufFmt_ParseNumber(ts); - if (number == -1) - PyErr_Format(PyExc_ValueError,\ - "Does not understand character buffer dtype format string ('%c')", **ts); - return number; -} -static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { - PyErr_Format(PyExc_ValueError, - "Unexpected format string character: '%c'", ch); -} -static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { - switch (ch) { - case '?': return "'bool'"; - case 'c': return "'char'"; - case 'b': return "'signed char'"; - case 'B': return "'unsigned char'"; - case 'h': return "'short'"; - case 'H': return "'unsigned short'"; - case 'i': return "'int'"; - case 'I': return "'unsigned int'"; - case 'l': return "'long'"; - case 'L': return "'unsigned long'"; - case 'q': return "'long long'"; - case 'Q': return "'unsigned long long'"; - case 'f': return (is_complex ? "'complex float'" : "'float'"); - case 'd': return (is_complex ? "'complex double'" : "'double'"); - case 'g': return (is_complex ? "'complex long double'" : "'long double'"); - case 'T': return "a struct"; - case 'O': return "Python object"; - case 'P': return "a pointer"; - case 's': case 'p': return "a string"; - case 0: return "end"; - default: return "unparsable format string"; - } -} -static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return 2; - case 'i': case 'I': case 'l': case 'L': return 4; - case 'q': case 'Q': return 8; - case 'f': return (is_complex ? 8 : 4); - case 'd': return (is_complex ? 16 : 8); - case 'g': { - PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); - return 0; - } - case 'O': case 'P': return sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(short); - case 'i': case 'I': return sizeof(int); - case 'l': case 'L': return sizeof(long); - case 'q': case 'Q': return sizeof(PY_LONG_LONG); - case 'f': return sizeof(float) * (is_complex ? 2 : 1); - case 'd': return sizeof(double) * (is_complex ? 2 : 1); - case 'g': return sizeof(long double) * (is_complex ? 2 : 1); - case 'O': case 'P': return sizeof(void*); - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -typedef struct { char c; short x; } __Pyx_st_short; -typedef struct { char c; int x; } __Pyx_st_int; -typedef struct { char c; long x; } __Pyx_st_long; -typedef struct { char c; float x; } __Pyx_st_float; -typedef struct { char c; double x; } __Pyx_st_double; -typedef struct { char c; long double x; } __Pyx_st_longdouble; -typedef struct { char c; void *x; } __Pyx_st_void_p; -typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; -static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, int is_complex) { - CYTHON_UNUSED_VAR(is_complex); - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); - case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); - case 'f': return sizeof(__Pyx_st_float) - sizeof(float); - case 'd': return sizeof(__Pyx_st_double) - sizeof(double); - case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -/* These are for computing the padding at the end of the struct to align - on the first member of the struct. This will probably the same as above, - but we don't have any guarantees. - */ -typedef struct { short x; char c; } __Pyx_pad_short; -typedef struct { int x; char c; } __Pyx_pad_int; -typedef struct { long x; char c; } __Pyx_pad_long; -typedef struct { float x; char c; } __Pyx_pad_float; -typedef struct { double x; char c; } __Pyx_pad_double; -typedef struct { long double x; char c; } __Pyx_pad_longdouble; -typedef struct { void *x; char c; } __Pyx_pad_void_p; -typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; -static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, int is_complex) { - CYTHON_UNUSED_VAR(is_complex); - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); - case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); - case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); - case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); - case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { - switch (ch) { - case 'c': - return 'H'; - case 'b': case 'h': case 'i': - case 'l': case 'q': case 's': case 'p': - return 'I'; - case '?': case 'B': case 'H': case 'I': case 'L': case 'Q': - return 'U'; - case 'f': case 'd': case 'g': - return (is_complex ? 'C' : 'R'); - case 'O': - return 'O'; - case 'P': - return 'P'; - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { - if (ctx->head == NULL || ctx->head->field == &ctx->root) { - const char* expected; - const char* quote; - if (ctx->head == NULL) { - expected = "end"; - quote = ""; - } else { - expected = ctx->head->field->type->name; - quote = "'"; - } - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected %s%s%s but got %s", - quote, expected, quote, - __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); - } else { - const __Pyx_StructField* field = ctx->head->field; - const __Pyx_StructField* parent = (ctx->head - 1)->field; - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", - field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), - parent->type->name, field->name); - } -} -static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { - char group; - size_t size, offset, arraysize = 1; - if (ctx->enc_type == 0) return 0; - if (ctx->head->field->type->arraysize[0]) { - int i, ndim = 0; - if (ctx->enc_type == 's' || ctx->enc_type == 'p') { - ctx->is_valid_array = ctx->head->field->type->ndim == 1; - ndim = 1; - if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { - PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %zu", - ctx->head->field->type->arraysize[0], ctx->enc_count); - return -1; - } - } - if (!ctx->is_valid_array) { - PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", - ctx->head->field->type->ndim, ndim); - return -1; - } - for (i = 0; i < ctx->head->field->type->ndim; i++) { - arraysize *= ctx->head->field->type->arraysize[i]; - } - ctx->is_valid_array = 0; - ctx->enc_count = 1; - } - group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); - do { - const __Pyx_StructField* field = ctx->head->field; - const __Pyx_TypeInfo* type = field->type; - if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { - size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); - } else { - size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); - } - if (ctx->enc_packmode == '@') { - size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); - size_t align_mod_offset; - if (align_at == 0) return -1; - align_mod_offset = ctx->fmt_offset % align_at; - if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; - if (ctx->struct_alignment == 0) - ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, - ctx->is_complex); - } - if (type->size != size || type->typegroup != group) { - if (type->typegroup == 'C' && type->fields != NULL) { - size_t parent_offset = ctx->head->parent_offset + field->offset; - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = parent_offset; - continue; - } - if ((type->typegroup == 'H' || group == 'H') && type->size == size) { - } else { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - } - offset = ctx->head->parent_offset + field->offset; - if (ctx->fmt_offset != offset) { - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", - (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); - return -1; - } - ctx->fmt_offset += size; - if (arraysize) - ctx->fmt_offset += (arraysize - 1) * size; - --ctx->enc_count; - while (1) { - if (field == &ctx->root) { - ctx->head = NULL; - if (ctx->enc_count != 0) { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - break; - } - ctx->head->field = ++field; - if (field->type == NULL) { - --ctx->head; - field = ctx->head->field; - continue; - } else if (field->type->typegroup == 'S') { - size_t parent_offset = ctx->head->parent_offset + field->offset; - if (field->type->fields->type == NULL) continue; - field = field->type->fields; - ++ctx->head; - ctx->head->field = field; - ctx->head->parent_offset = parent_offset; - break; - } else { - break; - } - } - } while (ctx->enc_count); - ctx->enc_type = 0; - ctx->is_complex = 0; - return 0; -} -static int -__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) -{ - const char *ts = *tsp; - int i = 0, number, ndim; - ++ts; - if (ctx->new_count != 1) { - PyErr_SetString(PyExc_ValueError, - "Cannot handle repeated arrays in format string"); - return -1; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return -1; - ndim = ctx->head->field->type->ndim; - while (*ts && *ts != ')') { - switch (*ts) { - case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; - default: break; - } - number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return -1; - if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) { - PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %d", - ctx->head->field->type->arraysize[i], number); - return -1; - } - if (*ts != ',' && *ts != ')') { - PyErr_Format(PyExc_ValueError, - "Expected a comma in format string, got '%c'", *ts); - return -1; - } - if (*ts == ',') ts++; - i++; - } - if (i != ndim) { - PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", - ctx->head->field->type->ndim, i); - return -1; - } - if (!*ts) { - PyErr_SetString(PyExc_ValueError, - "Unexpected end of format string, expected ')'"); - return -1; - } - ctx->is_valid_array = 1; - ctx->new_count = 1; - *tsp = ++ts; - return 0; -} -static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { - int got_Z = 0; - while (1) { - switch(*ts) { - case 0: - if (ctx->enc_type != 0 && ctx->head == NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - if (ctx->head != NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - return ts; - case ' ': - case '\r': - case '\n': - ++ts; - break; - case '<': - if (!__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '>': - case '!': - if (__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '=': - case '@': - case '^': - ctx->new_packmode = *ts++; - break; - case 'T': - { - const char* ts_after_sub; - size_t i, struct_count = ctx->new_count; - size_t struct_alignment = ctx->struct_alignment; - ctx->new_count = 1; - ++ts; - if (*ts != '{') { - PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - ctx->enc_count = 0; - ctx->struct_alignment = 0; - ++ts; - ts_after_sub = ts; - for (i = 0; i != struct_count; ++i) { - ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); - if (!ts_after_sub) return NULL; - } - ts = ts_after_sub; - if (struct_alignment) ctx->struct_alignment = struct_alignment; - } - break; - case '}': - { - size_t alignment = ctx->struct_alignment; - ++ts; - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - if (alignment && ctx->fmt_offset % alignment) { - ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); - } - } - return ts; - case 'x': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->fmt_offset += ctx->new_count; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->enc_packmode = ctx->new_packmode; - ++ts; - break; - case 'Z': - got_Z = 1; - ++ts; - if (*ts != 'f' && *ts != 'd' && *ts != 'g') { - __Pyx_BufFmt_RaiseUnexpectedChar('Z'); - return NULL; - } - CYTHON_FALLTHROUGH; - case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': - case 'l': case 'L': case 'q': case 'Q': - case 'f': case 'd': case 'g': - case 'O': case 'p': - if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) && - (ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) { - ctx->enc_count += ctx->new_count; - ctx->new_count = 1; - got_Z = 0; - ++ts; - break; - } - CYTHON_FALLTHROUGH; - case 's': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_count = ctx->new_count; - ctx->enc_packmode = ctx->new_packmode; - ctx->enc_type = *ts; - ctx->is_complex = got_Z; - ++ts; - ctx->new_count = 1; - got_Z = 0; - break; - case ':': - ++ts; - while(*ts != ':') ++ts; - ++ts; - break; - case '(': - if (__pyx_buffmt_parse_array(ctx, &ts) < 0) return NULL; - break; - default: - { - int number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return NULL; - ctx->new_count = (size_t)number; - } - } - } -} - -/* TypeInfoCompare (used by MemviewSliceValidateAndInit) */ - static int - __pyx_typeinfo_cmp(const __Pyx_TypeInfo *a, const __Pyx_TypeInfo *b) - { - int i; - if (!a || !b) - return 0; - if (a == b) - return 1; - if (a->size != b->size || a->typegroup != b->typegroup || - a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { - if (a->typegroup == 'H' || b->typegroup == 'H') { - return a->size == b->size; - } else { - return 0; - } - } - if (a->ndim) { - for (i = 0; i < a->ndim; i++) - if (a->arraysize[i] != b->arraysize[i]) - return 0; - } - if (a->typegroup == 'S') { - if (a->flags != b->flags) - return 0; - if (a->fields || b->fields) { - if (!(a->fields && b->fields)) - return 0; - for (i = 0; a->fields[i].type && b->fields[i].type; i++) { - const __Pyx_StructField *field_a = a->fields + i; - const __Pyx_StructField *field_b = b->fields + i; - if (field_a->offset != field_b->offset || - !__pyx_typeinfo_cmp(field_a->type, field_b->type)) - return 0; - } - return !a->fields[i].type && !b->fields[i].type; - } - } - return 1; - } - -/* MemviewSliceValidateAndInit (used by ObjectToMemviewSlice) */ - static int - __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) - { - if (buf->shape[dim] <= 1) - return 1; - if (buf->strides) { - if (spec & __Pyx_MEMVIEW_CONTIG) { - if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { - if (unlikely(buf->strides[dim] != sizeof(void *))) { - PyErr_Format(PyExc_ValueError, - "Buffer is not indirectly contiguous " - "in dimension %d.", dim); - goto fail; - } - } else if (unlikely(buf->strides[dim] != buf->itemsize)) { - PyErr_SetString(PyExc_ValueError, - "Buffer and memoryview are not contiguous " - "in the same dimension."); - goto fail; - } - } - if (spec & __Pyx_MEMVIEW_FOLLOW) { - Py_ssize_t stride = buf->strides[dim]; - if (stride < 0) - stride = -stride; - if (unlikely(stride < buf->itemsize)) { - PyErr_SetString(PyExc_ValueError, - "Buffer and memoryview are not contiguous " - "in the same dimension."); - goto fail; - } - } - } else { - if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) { - PyErr_Format(PyExc_ValueError, - "C-contiguous buffer is not contiguous in " - "dimension %d", dim); - goto fail; - } else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) { - PyErr_Format(PyExc_ValueError, - "C-contiguous buffer is not indirect in " - "dimension %d", dim); - goto fail; - } else if (unlikely(buf->suboffsets)) { - PyErr_SetString(PyExc_ValueError, - "Buffer exposes suboffsets but no strides"); - goto fail; - } - } - return 1; - fail: - return 0; - } - static int - __pyx_check_suboffsets(Py_buffer *buf, int dim, int ndim, int spec) - { - CYTHON_UNUSED_VAR(ndim); - if (spec & __Pyx_MEMVIEW_DIRECT) { - if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) { - PyErr_Format(PyExc_ValueError, - "Buffer not compatible with direct access " - "in dimension %d.", dim); - goto fail; - } - } - if (spec & __Pyx_MEMVIEW_PTR) { - if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) { - PyErr_Format(PyExc_ValueError, - "Buffer is not indirectly accessible " - "in dimension %d.", dim); - goto fail; - } - } - return 1; - fail: - return 0; - } - static int - __pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) - { - int i; - if (c_or_f_flag & __Pyx_IS_F_CONTIG) { - Py_ssize_t stride = 1; - for (i = 0; i < ndim; i++) { - if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { - PyErr_SetString(PyExc_ValueError, - "Buffer not fortran contiguous."); - goto fail; - } - stride = stride * buf->shape[i]; - } - } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { - Py_ssize_t stride = 1; - for (i = ndim - 1; i >- 1; i--) { - if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) { - PyErr_SetString(PyExc_ValueError, - "Buffer not C contiguous."); - goto fail; - } - stride = stride * buf->shape[i]; - } - } - return 1; - fail: - return 0; - } - static int __Pyx_ValidateAndInit_memviewslice( - int *axes_specs, - int c_or_f_flag, - int buf_flags, - int ndim, - const __Pyx_TypeInfo *dtype, - __Pyx_BufFmt_StackElem stack[], - __Pyx_memviewslice *memviewslice, - PyObject *original_obj) - { - struct __pyx_memoryview_obj *memview, *new_memview; - __Pyx_RefNannyDeclarations - Py_buffer *buf; - int i, spec = 0, retval = -1; - __Pyx_BufFmt_Context ctx; - int from_memoryview = __pyx_memoryview_check(original_obj); - __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); - if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) - original_obj)->typeinfo)) { - memview = (struct __pyx_memoryview_obj *) original_obj; - new_memview = NULL; - } else { - memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( - original_obj, buf_flags, 0, dtype); - new_memview = memview; - if (unlikely(!memview)) - goto fail; - } - buf = &memview->view; - if (unlikely(buf->ndim != ndim)) { - PyErr_Format(PyExc_ValueError, - "Buffer has wrong number of dimensions (expected %d, got %d)", - ndim, buf->ndim); - goto fail; - } - if (new_memview) { - __Pyx_BufFmt_Init(&ctx, stack, dtype); - if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail; - } - if (unlikely((unsigned) buf->itemsize != dtype->size)) { - PyErr_Format(PyExc_ValueError, - "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " - "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", - buf->itemsize, - (buf->itemsize > 1) ? "s" : "", - dtype->name, - dtype->size, - (dtype->size > 1) ? "s" : ""); - goto fail; - } - if (buf->len > 0) { - for (i = 0; i < ndim; i++) { - spec = axes_specs[i]; - if (unlikely(!__pyx_check_strides(buf, i, ndim, spec))) - goto fail; - if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec))) - goto fail; - } - if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))) - goto fail; - } - if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, - new_memview != NULL) == -1)) { - goto fail; - } - retval = 0; - goto no_fail; - fail: - Py_XDECREF((PyObject*)new_memview); - retval = -1; - no_fail: - __Pyx_RefNannyFinishContext(); - return retval; - } - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = __Pyx_MEMSLICE_INIT; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, - PyBUF_RECORDS_RO | writable_flag, 2, - &__Pyx_TypeInfo_double, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; - __pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; - } - -/* CIntFromPyVerify */ - #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) - #define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) - #define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ - {\ - func_type value = func_value;\ - if (sizeof(target_type) < sizeof(func_type)) {\ - if (unlikely(value != (func_type) (target_type) value)) {\ - func_type zero = 0;\ - if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ - return (target_type) -1;\ - if (is_unsigned && unlikely(value < zero))\ - goto raise_neg_overflow;\ - else\ - goto raise_overflow;\ - }\ - }\ - return (target_type) value;\ - } - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_size_t(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = __Pyx_MEMSLICE_INIT; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, - PyBUF_RECORDS_RO | writable_flag, 2, - &__Pyx_TypeInfo_size_t, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; - __pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; - } - -/* MemviewDtypeToObject */ - static CYTHON_INLINE PyObject *__pyx_memview_get_double(const char *itemp) { - return (PyObject *) PyFloat_FromDouble(*(double const *) itemp); - } - static CYTHON_INLINE int __pyx_memview_set_double(char *itemp, PyObject *obj) { - double value = __Pyx_PyFloat_AsDouble(obj); - if (unlikely((value == (double)-1) && PyErr_Occurred())) - return 0; - *(double *) itemp = value; - return 1; - } - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = __Pyx_MEMSLICE_INIT; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, - PyBUF_RECORDS_RO | writable_flag, 1, - &__Pyx_TypeInfo_int, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; - __pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; - } - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = __Pyx_MEMSLICE_INIT; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, - PyBUF_RECORDS_RO | writable_flag, 1, - &__Pyx_TypeInfo_double, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; - __pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; - } - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = __Pyx_MEMSLICE_INIT; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, - PyBUF_RECORDS_RO | writable_flag, 3, - &__Pyx_TypeInfo_double, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; - __pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; - } - -/* MemviewSliceCopy */ - static __Pyx_memviewslice - __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, - const char *mode, int ndim, - size_t sizeof_dtype, int contig_flag, - int dtype_is_object) - { - __Pyx_RefNannyDeclarations - int i; - __Pyx_memviewslice new_mvs = __Pyx_MEMSLICE_INIT; - struct __pyx_memoryview_obj *from_memview = from_mvs->memview; - Py_buffer *buf = &from_memview->view; - PyObject *shape_tuple = NULL; - PyObject *temp_int = NULL; - struct __pyx_array_obj *array_obj = NULL; - struct __pyx_memoryview_obj *memview_obj = NULL; - __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); - for (i = 0; i < ndim; i++) { - if (unlikely(from_mvs->suboffsets[i] >= 0)) { - PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " - "indirect dimensions (axis %d)", i); - goto fail; - } - } - shape_tuple = PyTuple_New(ndim); - if (unlikely(!shape_tuple)) { - goto fail; - } - __Pyx_GOTREF(shape_tuple); - for(i = 0; i < ndim; i++) { - temp_int = PyLong_FromSsize_t(from_mvs->shape[i]); - if(unlikely(!temp_int)) { - goto fail; - } else { - #if CYTHON_ASSUME_SAFE_MACROS - PyTuple_SET_ITEM(shape_tuple, i, temp_int); - #else - if (PyTuple_SetItem(shape_tuple, i, temp_int) < 0) { - goto fail; - } - #endif - temp_int = NULL; - } - } - array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, mode, NULL); - if (unlikely(!array_obj)) { - goto fail; - } - __Pyx_GOTREF(array_obj); - memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( - (PyObject *) array_obj, contig_flag, - dtype_is_object, - from_mvs->memview->typeinfo); - if (unlikely(!memview_obj)) - goto fail; - if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) - goto fail; - if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, - dtype_is_object) < 0)) - goto fail; - goto no_fail; - fail: - __Pyx_XDECREF((PyObject *) new_mvs.memview); - new_mvs.memview = NULL; - new_mvs.data = NULL; - no_fail: - __Pyx_XDECREF(shape_tuple); - __Pyx_XDECREF(temp_int); - __Pyx_XDECREF((PyObject *) array_obj); - __Pyx_RefNannyFinishContext(); - return new_mvs; - } - -/* CIntFromPy */ - static CYTHON_INLINE int __Pyx_PyLong_As_int(PyObject *x) { - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic push - #pragma GCC diagnostic ignored "-Wconversion" - #endif - const int neg_one = (int) -1, const_zero = (int) 0; - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic pop - #endif - const int is_unsigned = neg_one > const_zero; - if (unlikely(!PyLong_Check(x))) { - int val; - PyObject *tmp = __Pyx_PyNumber_Long(x); - if (!tmp) return (int) -1; - val = __Pyx_PyLong_As_int(tmp); - Py_DECREF(tmp); - return val; - } - if (is_unsigned) { - #if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 2 * PyLong_SHIFT)) { - return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 3 * PyLong_SHIFT)) { - return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 4 * PyLong_SHIFT)) { - return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - } - } - #endif - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } - #else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (int) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } - #endif - if ((sizeof(int) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) - } else if ((sizeof(int) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) - } - } else { - #if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(int) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { - return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - } - } - #endif - if ((sizeof(int) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) - } else if ((sizeof(int) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) - } - } - { - int val; - int ret = -1; - #if PY_VERSION_HEX >= 0x030d00A6 && !CYTHON_COMPILING_IN_LIMITED_API - Py_ssize_t bytes_copied = PyLong_AsNativeBytes( - x, &val, sizeof(val), Py_ASNATIVEBYTES_NATIVE_ENDIAN | (is_unsigned ? Py_ASNATIVEBYTES_UNSIGNED_BUFFER | Py_ASNATIVEBYTES_REJECT_NEGATIVE : 0)); - if (unlikely(bytes_copied == -1)) { - } else if (unlikely(bytes_copied > (Py_ssize_t) sizeof(val))) { - goto raise_overflow; - } else { - ret = 0; - } - #elif PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)x, - bytes, sizeof(val), - is_little, !is_unsigned); - #else - PyObject *v; - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (likely(PyLong_CheckExact(x))) { - v = __Pyx_NewRef(x); - } else { - v = PyNumber_Long(x); - if (unlikely(!v)) return (int) -1; - assert(PyLong_CheckExact(v)); - } - { - int result = PyObject_RichCompareBool(v, Py_False, Py_LT); - if (unlikely(result < 0)) { - Py_DECREF(v); - return (int) -1; - } - is_negative = result == 1; - } - if (is_unsigned && unlikely(is_negative)) { - Py_DECREF(v); - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - Py_DECREF(v); - if (unlikely(!stepval)) - return (int) -1; - } else { - stepval = v; - } - v = NULL; - val = (int) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(int) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - long idigit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - val |= ((int) idigit) << bits; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - } - Py_DECREF(shift); shift = NULL; - Py_DECREF(mask); mask = NULL; - { - long idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(int) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((int) idigit) << bits; - } - if (!is_unsigned) { - if (unlikely(val & (((int) 1) << (sizeof(int) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); - #endif - if (unlikely(ret)) - return (int) -1; - return val; - } - raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to int"); - return (int) -1; - raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to int"); - return (int) -1; - } - -/* CIntFromPy */ - static CYTHON_INLINE size_t __Pyx_PyLong_As_size_t(PyObject *x) { - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic push - #pragma GCC diagnostic ignored "-Wconversion" - #endif - const size_t neg_one = (size_t) -1, const_zero = (size_t) 0; - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic pop - #endif - const int is_unsigned = neg_one > const_zero; - if (unlikely(!PyLong_Check(x))) { - size_t val; - PyObject *tmp = __Pyx_PyNumber_Long(x); - if (!tmp) return (size_t) -1; - val = __Pyx_PyLong_As_size_t(tmp); - Py_DECREF(tmp); - return val; - } - if (is_unsigned) { - #if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(size_t, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(size_t) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(size_t) >= 2 * PyLong_SHIFT)) { - return (size_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(size_t) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(size_t) >= 3 * PyLong_SHIFT)) { - return (size_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(size_t) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(size_t) >= 4 * PyLong_SHIFT)) { - return (size_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - } - break; - } - } - #endif - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } - #else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (size_t) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } - #endif - if ((sizeof(size_t) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned long, PyLong_AsUnsignedLong(x)) - } else if ((sizeof(size_t) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) - } - } else { - #if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(size_t, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(size_t) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT)) { - return (size_t) (((size_t)-1)*(((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(size_t) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT)) { - return (size_t) ((((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT)) { - return (size_t) (((size_t)-1)*(((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(size_t) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT)) { - return (size_t) ((((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT)) { - return (size_t) (((size_t)-1)*(((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(size_t) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT)) { - return (size_t) ((((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); - } - } - break; - } - } - #endif - if ((sizeof(size_t) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(size_t, long, PyLong_AsLong(x)) - } else if ((sizeof(size_t) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(size_t, PY_LONG_LONG, PyLong_AsLongLong(x)) - } - } - { - size_t val; - int ret = -1; - #if PY_VERSION_HEX >= 0x030d00A6 && !CYTHON_COMPILING_IN_LIMITED_API - Py_ssize_t bytes_copied = PyLong_AsNativeBytes( - x, &val, sizeof(val), Py_ASNATIVEBYTES_NATIVE_ENDIAN | (is_unsigned ? Py_ASNATIVEBYTES_UNSIGNED_BUFFER | Py_ASNATIVEBYTES_REJECT_NEGATIVE : 0)); - if (unlikely(bytes_copied == -1)) { - } else if (unlikely(bytes_copied > (Py_ssize_t) sizeof(val))) { - goto raise_overflow; - } else { - ret = 0; - } - #elif PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)x, - bytes, sizeof(val), - is_little, !is_unsigned); - #else - PyObject *v; - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (likely(PyLong_CheckExact(x))) { - v = __Pyx_NewRef(x); - } else { - v = PyNumber_Long(x); - if (unlikely(!v)) return (size_t) -1; - assert(PyLong_CheckExact(v)); - } - { - int result = PyObject_RichCompareBool(v, Py_False, Py_LT); - if (unlikely(result < 0)) { - Py_DECREF(v); - return (size_t) -1; - } - is_negative = result == 1; - } - if (is_unsigned && unlikely(is_negative)) { - Py_DECREF(v); - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - Py_DECREF(v); - if (unlikely(!stepval)) - return (size_t) -1; - } else { - stepval = v; - } - v = NULL; - val = (size_t) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(size_t) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - long idigit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - val |= ((size_t) idigit) << bits; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - } - Py_DECREF(shift); shift = NULL; - Py_DECREF(mask); mask = NULL; - { - long idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(size_t) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((size_t) idigit) << bits; - } - if (!is_unsigned) { - if (unlikely(val & (((size_t) 1) << (sizeof(size_t) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); - #endif - if (unlikely(ret)) - return (size_t) -1; - return val; - } - raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to size_t"); - return (size_t) -1; - raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to size_t"); - return (size_t) -1; - } - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyLong_From_int(int value) { - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic push - #pragma GCC diagnostic ignored "-Wconversion" - #endif - const int neg_one = (int) -1, const_zero = (int) 0; - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic pop - #endif - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(int) < sizeof(long)) { - return PyLong_FromLong((long) value); - } else if (sizeof(int) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); - #if !CYTHON_COMPILING_IN_PYPY - } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); - #endif - } - } else { - if (sizeof(int) <= sizeof(long)) { - return PyLong_FromLong((long) value); - } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); - } - } - { - unsigned char *bytes = (unsigned char *)&value; - #if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d00A4 - if (is_unsigned) { - return PyLong_FromUnsignedNativeBytes(bytes, sizeof(value), -1); - } else { - return PyLong_FromNativeBytes(bytes, sizeof(value), -1); - } - #elif !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030d0000 - int one = 1; int little = (int)*(unsigned char *)&one; - return _PyLong_FromByteArray(bytes, sizeof(int), - little, !is_unsigned); - #else - int one = 1; int little = (int)*(unsigned char *)&one; - PyObject *from_bytes, *result = NULL, *kwds = NULL; - PyObject *py_bytes = NULL, *order_str = NULL; - from_bytes = PyObject_GetAttrString((PyObject*)&PyLong_Type, "from_bytes"); - if (!from_bytes) return NULL; - py_bytes = PyBytes_FromStringAndSize((char*)bytes, sizeof(int)); - if (!py_bytes) goto limited_bad; - order_str = PyUnicode_FromString(little ? "little" : "big"); - if (!order_str) goto limited_bad; - { - PyObject *args[3+(CYTHON_VECTORCALL ? 1 : 0)] = { NULL, py_bytes, order_str }; - if (!is_unsigned) { - kwds = __Pyx_MakeVectorcallBuilderKwds(1); - if (!kwds) goto limited_bad; - if (__Pyx_VectorcallBuilder_AddArgStr("signed", __Pyx_NewRef(Py_True), kwds, args+3, 0) < 0) goto limited_bad; - } - result = __Pyx_Object_Vectorcall_CallFromBuilder(from_bytes, args+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET, kwds); - } - limited_bad: - Py_XDECREF(kwds); - Py_XDECREF(order_str); - Py_XDECREF(py_bytes); - Py_XDECREF(from_bytes); - return result; - #endif - } - } - -/* PyObjectCall2Args (used by PyObjectCallMethod1) */ - static CYTHON_INLINE PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { - PyObject *args[3] = {NULL, arg1, arg2}; - return __Pyx_PyObject_FastCall(function, args+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); - } - -/* PyObjectCallMethod1 (used by UpdateUnpickledDict) */ - #if !(CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000))) - static PyObject* __Pyx__PyObject_CallMethod1(PyObject* method, PyObject* arg) { - PyObject *result = __Pyx_PyObject_CallOneArg(method, arg); - Py_DECREF(method); - return result; - } - #endif - static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) { - #if CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000)) - PyObject *args[2] = {obj, arg}; - (void) __Pyx_PyObject_CallOneArg; - (void) __Pyx_PyObject_Call2Args; - return PyObject_VectorcallMethod(method_name, args, 2 | PY_VECTORCALL_ARGUMENTS_OFFSET, NULL); - #else - PyObject *method = NULL, *result; - int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method); - if (likely(is_method)) { - result = __Pyx_PyObject_Call2Args(method, obj, arg); - Py_DECREF(method); - return result; - } - if (unlikely(!method)) return NULL; - return __Pyx__PyObject_CallMethod1(method, arg); - #endif - } - -/* UpdateUnpickledDict */ - static int __Pyx__UpdateUnpickledDict(PyObject *obj, PyObject *state, Py_ssize_t index) { - PyObject *state_dict = __Pyx_PySequence_ITEM(state, index); - if (unlikely(!state_dict)) { - return -1; - } - int non_empty = PyObject_IsTrue(state_dict); - if (non_empty == 0) { - Py_DECREF(state_dict); - return 0; - } else if (unlikely(non_empty == -1)) { - return -1; - } - PyObject *dict; - #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 - dict = PyObject_GetAttrString(obj, "__dict__"); - #else - dict = PyObject_GenericGetDict(obj, NULL); - #endif - if (unlikely(!dict)) { - Py_DECREF(state_dict); - return -1; - } - int result; - if (likely(PyDict_CheckExact(dict))) { - result = PyDict_Update(dict, state_dict); - } else { - PyObject *obj_result = __Pyx_PyObject_CallMethod1(dict, __pyx_mstate_global->__pyx_n_u_update, state_dict); - if (likely(obj_result)) { - Py_DECREF(obj_result); - result = 0; - } else { - result = -1; - } - } - Py_DECREF(state_dict); - Py_DECREF(dict); - return result; - } - static int __Pyx_UpdateUnpickledDict(PyObject *obj, PyObject *state, Py_ssize_t index) { - Py_ssize_t state_size = __Pyx_PyTuple_GET_SIZE(state); - #if !CYTHON_ASSUME_SAFE_SIZE - if (unlikely(state_size == -1)) return -1; - #endif - if (state_size <= index) { - return 0; - } - return __Pyx__UpdateUnpickledDict(obj, state, index); - } - -/* CheckUnpickleChecksum */ - static void __Pyx_RaiseUnpickleChecksumError(long checksum, long checksum1, long checksum2, long checksum3, const char *members) { - PyObject *pickle_module = PyImport_ImportModule("pickle"); - if (unlikely(!pickle_module)) return; - PyObject *pickle_error = PyObject_GetAttrString(pickle_module, "PickleError"); - Py_DECREF(pickle_module); - if (unlikely(!pickle_error)) return; - if (checksum2 == checksum1) { - PyErr_Format(pickle_error, "Incompatible checksums (0x%x vs (0x%x) = (%s))", - checksum, checksum1, members); - } else if (checksum3 == checksum2) { - PyErr_Format(pickle_error, "Incompatible checksums (0x%x vs (0x%x, 0x%x) = (%s))", - checksum, checksum1, checksum2, members); - } else { - PyErr_Format(pickle_error, "Incompatible checksums (0x%x vs (0x%x, 0x%x, 0x%x) = (%s))", - checksum, checksum1, checksum2, checksum3, members); - } - Py_DECREF(pickle_error); - } - static int __Pyx_CheckUnpickleChecksum(long checksum, long checksum1, long checksum2, long checksum3, const char *members) { - int found = 0; - found |= checksum1 == checksum; - found |= checksum2 == checksum; - found |= checksum3 == checksum; - if (likely(found)) - return 0; - __Pyx_RaiseUnpickleChecksumError(checksum, checksum1, checksum2, checksum3, members); - return -1; - } - -/* CIntFromPy */ - static CYTHON_INLINE long __Pyx_PyLong_As_long(PyObject *x) { - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic push - #pragma GCC diagnostic ignored "-Wconversion" - #endif - const long neg_one = (long) -1, const_zero = (long) 0; - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic pop - #endif - const int is_unsigned = neg_one > const_zero; - if (unlikely(!PyLong_Check(x))) { - long val; - PyObject *tmp = __Pyx_PyNumber_Long(x); - if (!tmp) return (long) -1; - val = __Pyx_PyLong_As_long(tmp); - Py_DECREF(tmp); - return val; - } - if (is_unsigned) { - #if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 2 * PyLong_SHIFT)) { - return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 3 * PyLong_SHIFT)) { - return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 4 * PyLong_SHIFT)) { - return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - } - } - #endif - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } - #else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (long) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } - #endif - if ((sizeof(long) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) - } else if ((sizeof(long) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) - } - } else { - #if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(long) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { - return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - } - } - #endif - if ((sizeof(long) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) - } else if ((sizeof(long) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) - } - } - { - long val; - int ret = -1; - #if PY_VERSION_HEX >= 0x030d00A6 && !CYTHON_COMPILING_IN_LIMITED_API - Py_ssize_t bytes_copied = PyLong_AsNativeBytes( - x, &val, sizeof(val), Py_ASNATIVEBYTES_NATIVE_ENDIAN | (is_unsigned ? Py_ASNATIVEBYTES_UNSIGNED_BUFFER | Py_ASNATIVEBYTES_REJECT_NEGATIVE : 0)); - if (unlikely(bytes_copied == -1)) { - } else if (unlikely(bytes_copied > (Py_ssize_t) sizeof(val))) { - goto raise_overflow; - } else { - ret = 0; - } - #elif PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)x, - bytes, sizeof(val), - is_little, !is_unsigned); - #else - PyObject *v; - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (likely(PyLong_CheckExact(x))) { - v = __Pyx_NewRef(x); - } else { - v = PyNumber_Long(x); - if (unlikely(!v)) return (long) -1; - assert(PyLong_CheckExact(v)); - } - { - int result = PyObject_RichCompareBool(v, Py_False, Py_LT); - if (unlikely(result < 0)) { - Py_DECREF(v); - return (long) -1; - } - is_negative = result == 1; - } - if (is_unsigned && unlikely(is_negative)) { - Py_DECREF(v); - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - Py_DECREF(v); - if (unlikely(!stepval)) - return (long) -1; - } else { - stepval = v; - } - v = NULL; - val = (long) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(long) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - long idigit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - val |= ((long) idigit) << bits; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - } - Py_DECREF(shift); shift = NULL; - Py_DECREF(mask); mask = NULL; - { - long idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(long) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((long) idigit) << bits; - } - if (!is_unsigned) { - if (unlikely(val & (((long) 1) << (sizeof(long) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); - #endif - if (unlikely(ret)) - return (long) -1; - return val; - } - raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to long"); - return (long) -1; - raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to long"); - return (long) -1; - } - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyLong_From_long(long value) { - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic push - #pragma GCC diagnostic ignored "-Wconversion" - #endif - const long neg_one = (long) -1, const_zero = (long) 0; - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic pop - #endif - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(long) < sizeof(long)) { - return PyLong_FromLong((long) value); - } else if (sizeof(long) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); - #if !CYTHON_COMPILING_IN_PYPY - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); - #endif - } - } else { - if (sizeof(long) <= sizeof(long)) { - return PyLong_FromLong((long) value); - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); - } - } - { - unsigned char *bytes = (unsigned char *)&value; - #if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d00A4 - if (is_unsigned) { - return PyLong_FromUnsignedNativeBytes(bytes, sizeof(value), -1); - } else { - return PyLong_FromNativeBytes(bytes, sizeof(value), -1); - } - #elif !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030d0000 - int one = 1; int little = (int)*(unsigned char *)&one; - return _PyLong_FromByteArray(bytes, sizeof(long), - little, !is_unsigned); - #else - int one = 1; int little = (int)*(unsigned char *)&one; - PyObject *from_bytes, *result = NULL, *kwds = NULL; - PyObject *py_bytes = NULL, *order_str = NULL; - from_bytes = PyObject_GetAttrString((PyObject*)&PyLong_Type, "from_bytes"); - if (!from_bytes) return NULL; - py_bytes = PyBytes_FromStringAndSize((char*)bytes, sizeof(long)); - if (!py_bytes) goto limited_bad; - order_str = PyUnicode_FromString(little ? "little" : "big"); - if (!order_str) goto limited_bad; - { - PyObject *args[3+(CYTHON_VECTORCALL ? 1 : 0)] = { NULL, py_bytes, order_str }; - if (!is_unsigned) { - kwds = __Pyx_MakeVectorcallBuilderKwds(1); - if (!kwds) goto limited_bad; - if (__Pyx_VectorcallBuilder_AddArgStr("signed", __Pyx_NewRef(Py_True), kwds, args+3, 0) < 0) goto limited_bad; - } - result = __Pyx_Object_Vectorcall_CallFromBuilder(from_bytes, args+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET, kwds); - } - limited_bad: - Py_XDECREF(kwds); - Py_XDECREF(order_str); - Py_XDECREF(py_bytes); - Py_XDECREF(from_bytes); - return result; - #endif - } - } - -/* CIntFromPy */ - static CYTHON_INLINE char __Pyx_PyLong_As_char(PyObject *x) { - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic push - #pragma GCC diagnostic ignored "-Wconversion" - #endif - const char neg_one = (char) -1, const_zero = (char) 0; - #ifdef __Pyx_HAS_GCC_DIAGNOSTIC - #pragma GCC diagnostic pop - #endif - const int is_unsigned = neg_one > const_zero; - if (unlikely(!PyLong_Check(x))) { - char val; - PyObject *tmp = __Pyx_PyNumber_Long(x); - if (!tmp) return (char) -1; - val = __Pyx_PyLong_As_char(tmp); - Py_DECREF(tmp); - return val; - } - if (is_unsigned) { - #if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(char, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(char) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) >= 2 * PyLong_SHIFT)) { - return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(char) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) >= 3 * PyLong_SHIFT)) { - return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(char) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) >= 4 * PyLong_SHIFT)) { - return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); - } - } - break; - } - } - #endif - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } - #else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (char) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } - #endif - if ((sizeof(char) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) - } else if ((sizeof(char) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) - } - } else { - #if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(char, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(char) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { - return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(char) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { - return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(char) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { - return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(char) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { - return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(char) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 4 * PyLong_SHIFT)) { - return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(char) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(char) - 1 > 4 * PyLong_SHIFT)) { - return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); - } - } - break; - } - } - #endif - if ((sizeof(char) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) - } else if ((sizeof(char) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) - } - } - { - char val; - int ret = -1; - #if PY_VERSION_HEX >= 0x030d00A6 && !CYTHON_COMPILING_IN_LIMITED_API - Py_ssize_t bytes_copied = PyLong_AsNativeBytes( - x, &val, sizeof(val), Py_ASNATIVEBYTES_NATIVE_ENDIAN | (is_unsigned ? Py_ASNATIVEBYTES_UNSIGNED_BUFFER | Py_ASNATIVEBYTES_REJECT_NEGATIVE : 0)); - if (unlikely(bytes_copied == -1)) { - } else if (unlikely(bytes_copied > (Py_ssize_t) sizeof(val))) { - goto raise_overflow; - } else { - ret = 0; - } - #elif PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)x, - bytes, sizeof(val), - is_little, !is_unsigned); - #else - PyObject *v; - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (likely(PyLong_CheckExact(x))) { - v = __Pyx_NewRef(x); - } else { - v = PyNumber_Long(x); - if (unlikely(!v)) return (char) -1; - assert(PyLong_CheckExact(v)); - } - { - int result = PyObject_RichCompareBool(v, Py_False, Py_LT); - if (unlikely(result < 0)) { - Py_DECREF(v); - return (char) -1; - } - is_negative = result == 1; - } - if (is_unsigned && unlikely(is_negative)) { - Py_DECREF(v); - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - Py_DECREF(v); - if (unlikely(!stepval)) - return (char) -1; - } else { - stepval = v; - } - v = NULL; - val = (char) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(char) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - long idigit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - val |= ((char) idigit) << bits; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - } - Py_DECREF(shift); shift = NULL; - Py_DECREF(mask); mask = NULL; - { - long idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(char) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((char) idigit) << bits; - } - if (!is_unsigned) { - if (unlikely(val & (((char) 1) << (sizeof(char) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); - #endif - if (unlikely(ret)) - return (char) -1; - return val; - } - raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to char"); - return (char) -1; - raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to char"); - return (char) -1; - } - -/* FormatTypeName */ - #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030d0000 - static __Pyx_TypeName - __Pyx_PyType_GetFullyQualifiedName(PyTypeObject* tp) - { - PyObject *module = NULL, *name = NULL, *result = NULL; - #if __PYX_LIMITED_VERSION_HEX < 0x030b0000 - name = __Pyx_PyObject_GetAttrStr((PyObject *)tp, - __pyx_mstate_global->__pyx_n_u_qualname); - #else - name = PyType_GetQualName(tp); - #endif - if (unlikely(name == NULL) || unlikely(!PyUnicode_Check(name))) goto bad; - module = __Pyx_PyObject_GetAttrStr((PyObject *)tp, - __pyx_mstate_global->__pyx_n_u_module); - if (unlikely(module == NULL) || unlikely(!PyUnicode_Check(module))) goto bad; - if (PyUnicode_CompareWithASCIIString(module, "builtins") == 0) { - result = name; - name = NULL; - goto done; - } - result = PyUnicode_FromFormat("%U.%U", module, name); - if (unlikely(result == NULL)) goto bad; - done: - Py_XDECREF(name); - Py_XDECREF(module); - return result; - bad: - PyErr_Clear(); - if (name) { - result = name; - name = NULL; - } else { - result = __Pyx_NewRef(__pyx_mstate_global->__pyx_kp_u__6); - } - goto done; - } - #endif - -/* GetRuntimeVersion */ - #if __PYX_LIMITED_VERSION_HEX < 0x030b0000 - void __Pyx_init_runtime_version(void) { - if (__Pyx_cached_runtime_version == 0) { - const char* rt_version = Py_GetVersion(); - unsigned long version = 0; - unsigned long factor = 0x01000000UL; - unsigned int digit = 0; - int i = 0; - while (factor) { - while ('0' <= rt_version[i] && rt_version[i] <= '9') { - digit = digit * 10 + (unsigned int) (rt_version[i] - '0'); - ++i; - } - version += factor * digit; - if (rt_version[i] != '.') - break; - digit = 0; - factor >>= 8; - ++i; - } - __Pyx_cached_runtime_version = version; - } - } - #endif - static unsigned long __Pyx_get_runtime_version(void) { - #if __PYX_LIMITED_VERSION_HEX >= 0x030b0000 - return Py_Version & ~0xFFUL; - #else - return __Pyx_cached_runtime_version; - #endif - } - -/* CheckBinaryVersion */ - static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer) { - const unsigned long MAJOR_MINOR = 0xFFFF0000UL; - if ((rt_version & MAJOR_MINOR) == (ct_version & MAJOR_MINOR)) - return 0; - if (likely(allow_newer && (rt_version & MAJOR_MINOR) > (ct_version & MAJOR_MINOR))) - return 1; - { - char message[200]; - PyOS_snprintf(message, sizeof(message), - "compile time Python version %d.%d " - "of module '%.100s' " - "%s " - "runtime version %d.%d", - (int) (ct_version >> 24), (int) ((ct_version >> 16) & 0xFF), - __Pyx_MODULE_NAME, - (allow_newer) ? "was newer than" : "does not match", - (int) (rt_version >> 24), (int) ((rt_version >> 16) & 0xFF) - ); - return PyErr_WarnEx(NULL, message, 1); - } - } - -/* NewCodeObj */ - #if CYTHON_COMPILING_IN_LIMITED_API - static PyObject* __Pyx__PyCode_New(int a, int p, int k, int l, int s, int f, - PyObject *code, PyObject *c, PyObject* n, PyObject *v, - PyObject *fv, PyObject *cell, PyObject* fn, - PyObject *name, int fline, PyObject *lnos) { - PyObject *exception_table = NULL; - PyObject *types_module=NULL, *code_type=NULL, *result=NULL; - #if __PYX_LIMITED_VERSION_HEX < 0x030b0000 - PyObject *version_info; - PyObject *py_minor_version = NULL; - #endif - long minor_version = 0; - PyObject *type, *value, *traceback; - PyErr_Fetch(&type, &value, &traceback); - #if __PYX_LIMITED_VERSION_HEX >= 0x030b0000 - minor_version = 11; - #else - if (!(version_info = PySys_GetObject("version_info"))) goto end; - if (!(py_minor_version = PySequence_GetItem(version_info, 1))) goto end; - minor_version = PyLong_AsLong(py_minor_version); - Py_DECREF(py_minor_version); - if (minor_version == -1 && PyErr_Occurred()) goto end; - #endif - if (!(types_module = PyImport_ImportModule("types"))) goto end; - if (!(code_type = PyObject_GetAttrString(types_module, "CodeType"))) goto end; - if (minor_version <= 7) { - (void)p; - result = PyObject_CallFunction(code_type, "iiiiiOOOOOOiOOO", a, k, l, s, f, code, - c, n, v, fn, name, fline, lnos, fv, cell); - } else if (minor_version <= 10) { - result = PyObject_CallFunction(code_type, "iiiiiiOOOOOOiOOO", a,p, k, l, s, f, code, - c, n, v, fn, name, fline, lnos, fv, cell); - } else { - if (!(exception_table = PyBytes_FromStringAndSize(NULL, 0))) goto end; - result = PyObject_CallFunction(code_type, "iiiiiiOOOOOOOiOOOO", a,p, k, l, s, f, code, - c, n, v, fn, name, name, fline, lnos, exception_table, fv, cell); - } - end: - Py_XDECREF(code_type); - Py_XDECREF(exception_table); - Py_XDECREF(types_module); - if (type) { - PyErr_Restore(type, value, traceback); - } - return result; - } - #elif PY_VERSION_HEX >= 0x030B0000 - static PyCodeObject* __Pyx__PyCode_New(int a, int p, int k, int l, int s, int f, - PyObject *code, PyObject *c, PyObject* n, PyObject *v, - PyObject *fv, PyObject *cell, PyObject* fn, - PyObject *name, int fline, PyObject *lnos) { - PyCodeObject *result; - result = - #if PY_VERSION_HEX >= 0x030C0000 - PyUnstable_Code_NewWithPosOnlyArgs - #else - PyCode_NewWithPosOnlyArgs - #endif - (a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, name, fline, lnos, __pyx_mstate_global->__pyx_empty_bytes); - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030c00A1 - if (likely(result)) - result->_co_firsttraceable = 0; - #endif - return result; - } - #elif !CYTHON_COMPILING_IN_PYPY - #define __Pyx__PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_NewWithPosOnlyArgs(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) - #else - #define __Pyx__PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) - #endif - static PyObject* __Pyx_PyCode_New( - const __Pyx_PyCode_New_function_description descr, - PyObject * const *varnames, - PyObject *filename, - PyObject *funcname, - PyObject *line_table, - PyObject *tuple_dedup_map - ) { - PyObject *code_obj = NULL, *varnames_tuple_dedup = NULL, *code_bytes = NULL; - Py_ssize_t var_count = (Py_ssize_t) descr.nlocals; - PyObject *varnames_tuple = PyTuple_New(var_count); - if (unlikely(!varnames_tuple)) return NULL; - for (Py_ssize_t i=0; i < var_count; i++) { - Py_INCREF(varnames[i]); - if (__Pyx_PyTuple_SET_ITEM(varnames_tuple, i, varnames[i]) != (0)) goto done; - } - #if CYTHON_COMPILING_IN_LIMITED_API - varnames_tuple_dedup = PyDict_GetItem(tuple_dedup_map, varnames_tuple); - if (!varnames_tuple_dedup) { - if (unlikely(PyDict_SetItem(tuple_dedup_map, varnames_tuple, varnames_tuple) < 0)) goto done; - varnames_tuple_dedup = varnames_tuple; - } - #else - varnames_tuple_dedup = PyDict_SetDefault(tuple_dedup_map, varnames_tuple, varnames_tuple); - if (unlikely(!varnames_tuple_dedup)) goto done; - #endif - #if CYTHON_AVOID_BORROWED_REFS - Py_INCREF(varnames_tuple_dedup); - #endif - if (__PYX_LIMITED_VERSION_HEX >= (0x030b0000) && line_table != NULL && !CYTHON_COMPILING_IN_GRAAL) { - Py_ssize_t line_table_length = __Pyx_PyBytes_GET_SIZE(line_table); - #if !CYTHON_ASSUME_SAFE_SIZE - if (unlikely(line_table_length == -1)) goto done; - #endif - Py_ssize_t code_len = (line_table_length * 2 + 4) & ~3LL; - code_bytes = PyBytes_FromStringAndSize(NULL, code_len); - if (unlikely(!code_bytes)) goto done; - char* c_code_bytes = PyBytes_AsString(code_bytes); - if (unlikely(!c_code_bytes)) goto done; - memset(c_code_bytes, 0, (size_t) code_len); - } - code_obj = (PyObject*) __Pyx__PyCode_New( - (int) descr.argcount, - (int) descr.num_posonly_args, - (int) descr.num_kwonly_args, - (int) descr.nlocals, - 0, - (int) descr.flags, - code_bytes ? code_bytes : __pyx_mstate_global->__pyx_empty_bytes, - __pyx_mstate_global->__pyx_empty_tuple, - __pyx_mstate_global->__pyx_empty_tuple, - varnames_tuple_dedup, - __pyx_mstate_global->__pyx_empty_tuple, - __pyx_mstate_global->__pyx_empty_tuple, - filename, - funcname, - (int) descr.first_line, - (__PYX_LIMITED_VERSION_HEX >= (0x030b0000) && line_table) ? line_table : __pyx_mstate_global->__pyx_empty_bytes - ); - done: - Py_XDECREF(code_bytes); - #if CYTHON_AVOID_BORROWED_REFS - Py_XDECREF(varnames_tuple_dedup); - #endif - Py_DECREF(varnames_tuple); - return code_obj; - } - -/* DecompressString */ - static PyObject *__Pyx_DecompressString(const char *s, Py_ssize_t length, int algo) { - PyObject *module, *decompress, *compressed_bytes, *decompressed; - const char* module_name = algo == 3 ? "compression.zstd" : algo == 2 ? "bz2" : "zlib"; - PyObject *methodname = PyUnicode_FromString("decompress"); - if (unlikely(!methodname)) return NULL; - #if __PYX_LIMITED_VERSION_HEX >= 0x030e0000 - if (algo == 3) { - PyObject *fromlist = Py_BuildValue("[O]", methodname); - if (unlikely(!fromlist)) return NULL; - module = PyImport_ImportModuleLevel("compression.zstd", NULL, NULL, fromlist, 0); - Py_DECREF(fromlist); - } else - #endif - module = PyImport_ImportModule(module_name); - if (unlikely(!module)) goto import_failed; - decompress = PyObject_GetAttr(module, methodname); - if (unlikely(!decompress)) goto import_failed; - { - #ifdef __cplusplus - char *memview_bytes = const_cast(s); - #else - #if defined(__clang__) - #pragma clang diagnostic push - #pragma clang diagnostic ignored "-Wcast-qual" - #elif !defined(__INTEL_COMPILER) && defined(__GNUC__) - #pragma GCC diagnostic push - #pragma GCC diagnostic ignored "-Wcast-qual" - #endif - char *memview_bytes = (char*) s; - #if defined(__clang__) - #pragma clang diagnostic pop - #elif !defined(__INTEL_COMPILER) && defined(__GNUC__) - #pragma GCC diagnostic pop - #endif - #endif - #if CYTHON_COMPILING_IN_LIMITED_API && !defined(PyBUF_READ) - int memview_flags = 0x100; - #else - int memview_flags = PyBUF_READ; - #endif - compressed_bytes = PyMemoryView_FromMemory(memview_bytes, length, memview_flags); - } - if (unlikely(!compressed_bytes)) { - Py_DECREF(decompress); - goto bad; - } - decompressed = PyObject_CallFunctionObjArgs(decompress, compressed_bytes, NULL); - Py_DECREF(compressed_bytes); - Py_DECREF(decompress); - Py_DECREF(module); - Py_DECREF(methodname); - return decompressed; - import_failed: - PyErr_Format(PyExc_ImportError, - "Failed to import '%.20s.decompress' - cannot initialise module strings. " - "String compression was configured with the C macro 'CYTHON_COMPRESS_STRINGS=%d'.", - module_name, algo); - bad: - Py_XDECREF(module); - Py_DECREF(methodname); - return NULL; - } - -#include -static CYTHON_INLINE Py_ssize_t __Pyx_ssize_strlen(const char *s) { - size_t len = strlen(s); - if (unlikely(len > (size_t) PY_SSIZE_T_MAX)) { - PyErr_SetString(PyExc_OverflowError, "byte string is too long"); - return -1; - } - return (Py_ssize_t) len; -} -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { - Py_ssize_t len = __Pyx_ssize_strlen(c_str); - if (unlikely(len < 0)) return NULL; - return __Pyx_PyUnicode_FromStringAndSize(c_str, len); -} -static CYTHON_INLINE PyObject* __Pyx_PyByteArray_FromString(const char* c_str) { - Py_ssize_t len = __Pyx_ssize_strlen(c_str); - if (unlikely(len < 0)) return NULL; - return PyByteArray_FromStringAndSize(c_str, len); -} -static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { - Py_ssize_t ignore; - return __Pyx_PyObject_AsStringAndSize(o, &ignore); -} -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 -static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; -#if CYTHON_COMPILING_IN_LIMITED_API - { - const char* result; - Py_ssize_t unicode_length; - CYTHON_MAYBE_UNUSED_VAR(unicode_length); // only for __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - #if __PYX_LIMITED_VERSION_HEX < 0x030A0000 - if (unlikely(PyArg_Parse(o, "s#", &result, length) < 0)) return NULL; - #else - result = PyUnicode_AsUTF8AndSize(o, length); - #endif - #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - unicode_length = PyUnicode_GetLength(o); - if (unlikely(unicode_length < 0)) return NULL; - if (unlikely(unicode_length != *length)) { - PyUnicode_AsASCIIString(o); - return NULL; - } - #endif - return result; - } -#else -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - if (likely(PyUnicode_IS_ASCII(o))) { - *length = PyUnicode_GET_LENGTH(o); - return PyUnicode_AsUTF8(o); - } else { - PyUnicode_AsASCIIString(o); - return NULL; - } -#else - return PyUnicode_AsUTF8AndSize(o, length); -#endif -#endif -} -#endif -static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 - if (PyUnicode_Check(o)) { - return __Pyx_PyUnicode_AsStringAndSize(o, length); - } else -#endif - if (PyByteArray_Check(o)) { -#if (CYTHON_ASSUME_SAFE_SIZE && CYTHON_ASSUME_SAFE_MACROS) || (CYTHON_COMPILING_IN_PYPY && (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))) - *length = PyByteArray_GET_SIZE(o); - return PyByteArray_AS_STRING(o); -#else - *length = PyByteArray_Size(o); - if (*length == -1) return NULL; - return PyByteArray_AsString(o); -#endif - } else - { - char* result; - int r = PyBytes_AsStringAndSize(o, &result, length); - if (unlikely(r < 0)) { - return NULL; - } else { - return result; - } - } -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { - int is_true = x == Py_True; - if (is_true | (x == Py_False) | (x == Py_None)) return is_true; - else return PyObject_IsTrue(x); -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { - int retval; - if (unlikely(!x)) return -1; - retval = __Pyx_PyObject_IsTrue(x); - Py_DECREF(x); - return retval; -} -static PyObject* __Pyx_PyNumber_LongWrongResultType(PyObject* result) { - __Pyx_TypeName result_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(result)); - if (PyLong_Check(result)) { - if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, - "__int__ returned non-int (type " __Pyx_FMT_TYPENAME "). " - "The ability to return an instance of a strict subclass of int is deprecated, " - "and may be removed in a future version of Python.", - result_type_name)) { - __Pyx_DECREF_TypeName(result_type_name); - Py_DECREF(result); - return NULL; - } - __Pyx_DECREF_TypeName(result_type_name); - return result; - } - PyErr_Format(PyExc_TypeError, - "__int__ returned non-int (type " __Pyx_FMT_TYPENAME ")", - result_type_name); - __Pyx_DECREF_TypeName(result_type_name); - Py_DECREF(result); - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyNumber_Long(PyObject* x) { -#if CYTHON_USE_TYPE_SLOTS - PyNumberMethods *m; -#endif - PyObject *res = NULL; - if (likely(PyLong_Check(x))) - return __Pyx_NewRef(x); -#if CYTHON_USE_TYPE_SLOTS - m = Py_TYPE(x)->tp_as_number; - if (likely(m && m->nb_int)) { - res = m->nb_int(x); - } -#else - if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { - res = PyNumber_Long(x); - } -#endif - if (likely(res)) { - if (unlikely(!PyLong_CheckExact(res))) { - return __Pyx_PyNumber_LongWrongResultType(res); - } - } - else if (!PyErr_Occurred()) { - PyErr_SetString(PyExc_TypeError, - "an integer is required"); - } - return res; -} -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { - Py_ssize_t ival; - PyObject *x; - if (likely(PyLong_CheckExact(b))) { - #if CYTHON_USE_PYLONG_INTERNALS - if (likely(__Pyx_PyLong_IsCompact(b))) { - return __Pyx_PyLong_CompactValue(b); - } else { - const digit* digits = __Pyx_PyLong_Digits(b); - const Py_ssize_t size = __Pyx_PyLong_SignedDigitCount(b); - switch (size) { - case 2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - } - } - #endif - return PyLong_AsSsize_t(b); - } - x = PyNumber_Index(b); - if (!x) return -1; - ival = PyLong_AsSsize_t(x); - Py_DECREF(x); - return ival; -} -static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject* o) { - if (sizeof(Py_hash_t) == sizeof(Py_ssize_t)) { - return (Py_hash_t) __Pyx_PyIndex_AsSsize_t(o); - } else { - Py_ssize_t ival; - PyObject *x; - x = PyNumber_Index(o); - if (!x) return -1; - ival = PyLong_AsLong(x); - Py_DECREF(x); - return ival; - } -} -static CYTHON_INLINE PyObject *__Pyx_Owned_Py_None(int b) { - CYTHON_UNUSED_VAR(b); - return __Pyx_NewRef(Py_None); -} -static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { - return __Pyx_NewRef(b ? Py_True: Py_False); -} -static CYTHON_INLINE PyObject * __Pyx_PyLong_FromSize_t(size_t ival) { - return PyLong_FromSize_t(ival); -} - - - /* MultiPhaseInitModuleState */ - #if CYTHON_PEP489_MULTI_PHASE_INIT && CYTHON_USE_MODULE_STATE - #ifndef CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - #if (CYTHON_COMPILING_IN_LIMITED_API || PY_VERSION_HEX >= 0x030C0000) - #define CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE 1 - #else - #define CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE 0 - #endif - #endif - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE && !CYTHON_ATOMICS - #error "Module state with PEP489 requires atomics. Currently that's one of\ - C11, C++11, gcc atomic intrinsics or MSVC atomic intrinsics" - #endif - #if !CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - #define __Pyx_ModuleStateLookup_Lock() - #define __Pyx_ModuleStateLookup_Unlock() - #elif !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d0000 - static PyMutex __Pyx_ModuleStateLookup_mutex = {0}; - #define __Pyx_ModuleStateLookup_Lock() PyMutex_Lock(&__Pyx_ModuleStateLookup_mutex) - #define __Pyx_ModuleStateLookup_Unlock() PyMutex_Unlock(&__Pyx_ModuleStateLookup_mutex) - #elif defined(__cplusplus) && __cplusplus >= 201103L - #include - static std::mutex __Pyx_ModuleStateLookup_mutex; - #define __Pyx_ModuleStateLookup_Lock() __Pyx_ModuleStateLookup_mutex.lock() - #define __Pyx_ModuleStateLookup_Unlock() __Pyx_ModuleStateLookup_mutex.unlock() - #elif defined(__STDC_VERSION__) && (__STDC_VERSION__ > 201112L) && !defined(__STDC_NO_THREADS__) - #include - static mtx_t __Pyx_ModuleStateLookup_mutex; - static once_flag __Pyx_ModuleStateLookup_mutex_once_flag = ONCE_FLAG_INIT; - static void __Pyx_ModuleStateLookup_initialize_mutex(void) { - mtx_init(&__Pyx_ModuleStateLookup_mutex, mtx_plain); - } - #define __Pyx_ModuleStateLookup_Lock()\ - call_once(&__Pyx_ModuleStateLookup_mutex_once_flag, __Pyx_ModuleStateLookup_initialize_mutex);\ - mtx_lock(&__Pyx_ModuleStateLookup_mutex) - #define __Pyx_ModuleStateLookup_Unlock() mtx_unlock(&__Pyx_ModuleStateLookup_mutex) - #elif defined(HAVE_PTHREAD_H) - #include - static pthread_mutex_t __Pyx_ModuleStateLookup_mutex = PTHREAD_MUTEX_INITIALIZER; - #define __Pyx_ModuleStateLookup_Lock() pthread_mutex_lock(&__Pyx_ModuleStateLookup_mutex) - #define __Pyx_ModuleStateLookup_Unlock() pthread_mutex_unlock(&__Pyx_ModuleStateLookup_mutex) - #elif defined(_WIN32) - #include // synchapi.h on its own doesn't work - static SRWLOCK __Pyx_ModuleStateLookup_mutex = SRWLOCK_INIT; - #define __Pyx_ModuleStateLookup_Lock() AcquireSRWLockExclusive(&__Pyx_ModuleStateLookup_mutex) - #define __Pyx_ModuleStateLookup_Unlock() ReleaseSRWLockExclusive(&__Pyx_ModuleStateLookup_mutex) - #else - #error "No suitable lock available for CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE.\ - Requires C standard >= C11, or C++ standard >= C++11,\ - or pthreads, or the Windows 32 API, or Python >= 3.13." - #endif - typedef struct { - int64_t id; - PyObject *module; - } __Pyx_InterpreterIdAndModule; - typedef struct { - char interpreter_id_as_index; - Py_ssize_t count; - Py_ssize_t allocated; - __Pyx_InterpreterIdAndModule table[1]; - } __Pyx_ModuleStateLookupData; - #define __PYX_MODULE_STATE_LOOKUP_SMALL_SIZE 32 - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - static __pyx_atomic_int_type __Pyx_ModuleStateLookup_read_counter = 0; - #endif - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - static __pyx_atomic_ptr_type __Pyx_ModuleStateLookup_data = 0; - #else - static __Pyx_ModuleStateLookupData* __Pyx_ModuleStateLookup_data = NULL; - #endif - static __Pyx_InterpreterIdAndModule* __Pyx_State_FindModuleStateLookupTableLowerBound( - __Pyx_InterpreterIdAndModule* table, - Py_ssize_t count, - int64_t interpreterId) { - __Pyx_InterpreterIdAndModule* begin = table; - __Pyx_InterpreterIdAndModule* end = begin + count; - if (begin->id == interpreterId) { - return begin; - } - while ((end - begin) > __PYX_MODULE_STATE_LOOKUP_SMALL_SIZE) { - __Pyx_InterpreterIdAndModule* halfway = begin + (end - begin)/2; - if (halfway->id == interpreterId) { - return halfway; - } - if (halfway->id < interpreterId) { - begin = halfway; - } else { - end = halfway; - } - } - for (; begin < end; ++begin) { - if (begin->id >= interpreterId) return begin; - } - return begin; - } - static PyObject *__Pyx_State_FindModule(CYTHON_UNUSED void* dummy) { - int64_t interpreter_id = PyInterpreterState_GetID(__Pyx_PyInterpreterState_Get()); - if (interpreter_id == -1) return NULL; - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - __Pyx_ModuleStateLookupData* data = (__Pyx_ModuleStateLookupData*)__pyx_atomic_pointer_load_relaxed(&__Pyx_ModuleStateLookup_data); - { - __pyx_atomic_incr_acq_rel(&__Pyx_ModuleStateLookup_read_counter); - if (likely(data)) { - __Pyx_ModuleStateLookupData* new_data = (__Pyx_ModuleStateLookupData*)__pyx_atomic_pointer_load_acquire(&__Pyx_ModuleStateLookup_data); - if (likely(data == new_data)) { - goto read_finished; - } - } - __pyx_atomic_decr_acq_rel(&__Pyx_ModuleStateLookup_read_counter); - __Pyx_ModuleStateLookup_Lock(); - __pyx_atomic_incr_relaxed(&__Pyx_ModuleStateLookup_read_counter); - data = (__Pyx_ModuleStateLookupData*)__pyx_atomic_pointer_load_relaxed(&__Pyx_ModuleStateLookup_data); - __Pyx_ModuleStateLookup_Unlock(); - } - read_finished:; - #else - __Pyx_ModuleStateLookupData* data = __Pyx_ModuleStateLookup_data; - #endif - __Pyx_InterpreterIdAndModule* found = NULL; - if (unlikely(!data)) goto end; - if (data->interpreter_id_as_index) { - if (interpreter_id < data->count) { - found = data->table+interpreter_id; - } - } else { - found = __Pyx_State_FindModuleStateLookupTableLowerBound( - data->table, data->count, interpreter_id); - } - end: - { - PyObject *result=NULL; - if (found && found->id == interpreter_id) { - result = found->module; - } - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - __pyx_atomic_decr_acq_rel(&__Pyx_ModuleStateLookup_read_counter); - #endif - return result; - } - } - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - static void __Pyx_ModuleStateLookup_wait_until_no_readers(void) { - while (__pyx_atomic_load(&__Pyx_ModuleStateLookup_read_counter) != 0); - } - #else - #define __Pyx_ModuleStateLookup_wait_until_no_readers() - #endif - static int __Pyx_State_AddModuleInterpIdAsIndex(__Pyx_ModuleStateLookupData **old_data, PyObject* module, int64_t interpreter_id) { - Py_ssize_t to_allocate = (*old_data)->allocated; - while (to_allocate <= interpreter_id) { - if (to_allocate == 0) to_allocate = 1; - else to_allocate *= 2; - } - __Pyx_ModuleStateLookupData *new_data = *old_data; - if (to_allocate != (*old_data)->allocated) { - new_data = (__Pyx_ModuleStateLookupData *)realloc( - *old_data, - sizeof(__Pyx_ModuleStateLookupData)+(to_allocate-1)*sizeof(__Pyx_InterpreterIdAndModule)); - if (!new_data) { - PyErr_NoMemory(); - return -1; - } - for (Py_ssize_t i = new_data->allocated; i < to_allocate; ++i) { - new_data->table[i].id = i; - new_data->table[i].module = NULL; - } - new_data->allocated = to_allocate; - } - new_data->table[interpreter_id].module = module; - if (new_data->count < interpreter_id+1) { - new_data->count = interpreter_id+1; - } - *old_data = new_data; - return 0; - } - static void __Pyx_State_ConvertFromInterpIdAsIndex(__Pyx_ModuleStateLookupData *data) { - __Pyx_InterpreterIdAndModule *read = data->table; - __Pyx_InterpreterIdAndModule *write = data->table; - __Pyx_InterpreterIdAndModule *end = read + data->count; - for (; readmodule) { - write->id = read->id; - write->module = read->module; - ++write; - } - } - data->count = write - data->table; - for (; writeid = 0; - write->module = NULL; - } - data->interpreter_id_as_index = 0; - } - static int __Pyx_State_AddModule(PyObject* module, CYTHON_UNUSED void* dummy) { - int64_t interpreter_id = PyInterpreterState_GetID(__Pyx_PyInterpreterState_Get()); - if (interpreter_id == -1) return -1; - int result = 0; - __Pyx_ModuleStateLookup_Lock(); - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - __Pyx_ModuleStateLookupData *old_data = (__Pyx_ModuleStateLookupData *) - __pyx_atomic_pointer_exchange(&__Pyx_ModuleStateLookup_data, 0); - #else - __Pyx_ModuleStateLookupData *old_data = __Pyx_ModuleStateLookup_data; - #endif - __Pyx_ModuleStateLookupData *new_data = old_data; - if (!new_data) { - new_data = (__Pyx_ModuleStateLookupData *)calloc(1, sizeof(__Pyx_ModuleStateLookupData)); - if (!new_data) { - result = -1; - PyErr_NoMemory(); - goto end; - } - new_data->allocated = 1; - new_data->interpreter_id_as_index = 1; - } - __Pyx_ModuleStateLookup_wait_until_no_readers(); - if (new_data->interpreter_id_as_index) { - if (interpreter_id < __PYX_MODULE_STATE_LOOKUP_SMALL_SIZE) { - result = __Pyx_State_AddModuleInterpIdAsIndex(&new_data, module, interpreter_id); - goto end; - } - __Pyx_State_ConvertFromInterpIdAsIndex(new_data); - } - { - Py_ssize_t insert_at = 0; - { - __Pyx_InterpreterIdAndModule* lower_bound = __Pyx_State_FindModuleStateLookupTableLowerBound( - new_data->table, new_data->count, interpreter_id); - assert(lower_bound); - insert_at = lower_bound - new_data->table; - if (unlikely(insert_at < new_data->count && lower_bound->id == interpreter_id)) { - lower_bound->module = module; - goto end; // already in table, nothing more to do - } - } - if (new_data->count+1 >= new_data->allocated) { - Py_ssize_t to_allocate = (new_data->count+1)*2; - new_data = - (__Pyx_ModuleStateLookupData*)realloc( - new_data, - sizeof(__Pyx_ModuleStateLookupData) + - (to_allocate-1)*sizeof(__Pyx_InterpreterIdAndModule)); - if (!new_data) { - result = -1; - new_data = old_data; - PyErr_NoMemory(); - goto end; - } - new_data->allocated = to_allocate; - } - ++new_data->count; - int64_t last_id = interpreter_id; - PyObject *last_module = module; - for (Py_ssize_t i=insert_at; icount; ++i) { - int64_t current_id = new_data->table[i].id; - new_data->table[i].id = last_id; - last_id = current_id; - PyObject *current_module = new_data->table[i].module; - new_data->table[i].module = last_module; - last_module = current_module; - } - } - end: - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - __pyx_atomic_pointer_exchange(&__Pyx_ModuleStateLookup_data, new_data); - #else - __Pyx_ModuleStateLookup_data = new_data; - #endif - __Pyx_ModuleStateLookup_Unlock(); - return result; - } - static int __Pyx_State_RemoveModule(CYTHON_UNUSED void* dummy) { - int64_t interpreter_id = PyInterpreterState_GetID(__Pyx_PyInterpreterState_Get()); - if (interpreter_id == -1) return -1; - __Pyx_ModuleStateLookup_Lock(); - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - __Pyx_ModuleStateLookupData *data = (__Pyx_ModuleStateLookupData *) - __pyx_atomic_pointer_exchange(&__Pyx_ModuleStateLookup_data, 0); - #else - __Pyx_ModuleStateLookupData *data = __Pyx_ModuleStateLookup_data; - #endif - if (data->interpreter_id_as_index) { - if (interpreter_id < data->count) { - data->table[interpreter_id].module = NULL; - } - goto done; - } - { - __Pyx_ModuleStateLookup_wait_until_no_readers(); - __Pyx_InterpreterIdAndModule* lower_bound = __Pyx_State_FindModuleStateLookupTableLowerBound( - data->table, data->count, interpreter_id); - if (!lower_bound) goto done; - if (lower_bound->id != interpreter_id) goto done; - __Pyx_InterpreterIdAndModule *end = data->table+data->count; - for (;lower_boundid = (lower_bound+1)->id; - lower_bound->module = (lower_bound+1)->module; - } - } - --data->count; - if (data->count == 0) { - free(data); - data = NULL; - } - done: - #if CYTHON_MODULE_STATE_LOOKUP_THREAD_SAFE - __pyx_atomic_pointer_exchange(&__Pyx_ModuleStateLookup_data, data); - #else - __Pyx_ModuleStateLookup_data = data; - #endif - __Pyx_ModuleStateLookup_Unlock(); - return 0; - } - #endif - -/* #### Code section: utility_code_pragmas_end ### */ -#ifdef _MSC_VER -#pragma warning( pop ) -#endif - - - -/* #### Code section: end ### */ -#endif /* Py_PYTHON_H */ diff --git a/src/pyvale/sensorsim/cython/rastercyth.html b/src/pyvale/sensorsim/cython/rastercyth.html deleted file mode 100644 index 6b07df498..000000000 --- a/src/pyvale/sensorsim/cython/rastercyth.html +++ /dev/null @@ -1,3392 +0,0 @@ - - - - - - Cython: rastercyth.py - - - -

Generated by Cython 3.2.1

-

- Yellow lines hint at Python interaction.
- Click on a line that starts with a "+" to see the C code that Cython generated for it. -

-

Raw output: rastercyth.c

-
+001: # ==============================================================================
-
  __pyx_t_5 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1, __pyx_L1_error)
-  __Pyx_GOTREF(__pyx_t_5);
-  if (PyDict_SetItem(__pyx_mstate_global->__pyx_d, __pyx_mstate_global->__pyx_n_u_test, __pyx_t_5) < (0)) __PYX_ERR(0, 1, __pyx_L1_error)
-  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
-
 002: # pyvale: the python validation engine
-
 003: # License: MIT
-
 004: # Copyright (C) 2025 The Computer Aided Validation Team
-
 005: # ==============================================================================
-
 006:
-
 007: """
-
 008: NOTE: this module is a feature under developement.
-
 009: """
-
 010:
-
+011: import numpy as np
-
  __pyx_t_1 = __Pyx_Import(__pyx_mstate_global->__pyx_n_u_numpy, 0, 0, NULL, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 11, __pyx_L1_error)
-  __pyx_t_4 = __pyx_t_1;
-  __Pyx_GOTREF(__pyx_t_4);
-  if (PyDict_SetItem(__pyx_mstate_global->__pyx_d, __pyx_mstate_global->__pyx_n_u_np, __pyx_t_4) < (0)) __PYX_ERR(0, 11, __pyx_L1_error)
-  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
-
 012: import cython
-
 013: #from cython.parallel import prange, parallel, threadid
-
 014: from cython.cimports.libc.math import floor, ceil
-
+015: from pyvale.sensorsim.cameradata import CameraData
-
  {
-    PyObject* const __pyx_imported_names[] = {__pyx_mstate_global->__pyx_n_u_CameraData};
-    __pyx_t_1 = __Pyx_Import(__pyx_mstate_global->__pyx_n_u_pyvale_sensorsim_cameradata, __pyx_imported_names, 1, NULL, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)
-  }
-  __pyx_t_4 = __pyx_t_1;
-  __Pyx_GOTREF(__pyx_t_4);
-  {
-    PyObject* const __pyx_imported_names[] = {__pyx_mstate_global->__pyx_n_u_CameraData};
-    __pyx_t_9 = 0; {
-      __pyx_t_5 = __Pyx_ImportFrom(__pyx_t_4, __pyx_imported_names[__pyx_t_9]); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 15, __pyx_L1_error)
-      __Pyx_GOTREF(__pyx_t_5);
-      if (PyDict_SetItem(__pyx_mstate_global->__pyx_d, __pyx_imported_names[__pyx_t_9], __pyx_t_5) < (0)) __PYX_ERR(0, 15, __pyx_L1_error)
-      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
-    }
-  }
-  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
-
 016:
-
 017: # NOTE: This module is a feature under developement.
-
 018:
-
+019: @cython.nogil
-
static CYTHON_INLINE size_t __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_range_len_double(double __pyx_v_start, double __pyx_v_stop, double __pyx_v_step) {
-  size_t __pyx_r;
-/* … */
-  /* function exit code */
-  __pyx_L0:;
-  return __pyx_r;
-}
-
 020: @cython.cfunc # python+C or cython.cfunc for C only
-
 021: @cython.boundscheck(False) # Turn off array bounds checking
-
 022: @cython.wraparound(False)  # Turn off negative indexing
-
 023: @cython.cdivision(True)    # Turn off divide by zero check
-
 024: @cython.inline
-
 025: @cython.exceptval(check=False)
-
 026: def range_len_double(start: cython.double,
-
 027:                      stop: cython.double,
-
 028:                      step: cython.double) -> cython.size_t:
-
+029:     return int(ceil((stop - start) / step))
-
  __pyx_r = ((size_t)ceil(((__pyx_v_stop - __pyx_v_start) / __pyx_v_step)));
-  goto __pyx_L0;
-
 030:
-
 031:
-
+032: @cython.nogil
-
static CYTHON_INLINE __Pyx_memviewslice __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_range_int(int __pyx_v_start, int __pyx_v_stop, int __pyx_v_step, __Pyx_memviewslice __pyx_v_vec_buffer) {
-  size_t __pyx_v_num_vals;
-  size_t __pyx_v_ii;
-  __Pyx_memviewslice __pyx_r = { 0, 0, { 0 }, { 0 }, { 0 } };
-/* … */
-  /* function exit code */
-  __pyx_L1_error:;
-  __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
-  __PYX_XCLEAR_MEMVIEW(&__pyx_t_7, 1);
-  __pyx_r.data = NULL;
-  __pyx_r.memview = NULL;
-  __Pyx_AddTraceback("pyvale.sensorsim.cython.rastercyth.vec_range_int", __pyx_clineno, __pyx_lineno, __pyx_filename);
-  goto __pyx_L2;
-  __pyx_L0:;
-  if (unlikely(!__pyx_r.memview)) {
-    PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
-    PyErr_SetString(PyExc_TypeError, "Memoryview return value is not initialized");
-    __Pyx_PyGILState_Release(__pyx_gilstate_save);
-  }
-  __Pyx_PyGILState_Release(__pyx_gilstate_save);
-  __pyx_L2:;
-  return __pyx_r;
-}
-
 033: @cython.cfunc # python+C or cython.cfunc for C only
-
 034: @cython.boundscheck(False) # Turn off array bounds checking
-
 035: @cython.wraparound(False)  # Turn off negative indexing
-
 036: @cython.cdivision(True)    # Turn off divide by zero check
-
 037: @cython.inline
-
 038: @cython.exceptval(check=False)
-
 039: def vec_range_int(start: cython.int,
-
 040:                   stop: cython.int,
-
 041:                   step: cython.int,
-
 042:                   vec_buffer: cython.long[:]) -> cython.long[:]:
-
 043:
-
+044:     num_vals: cython.size_t = int(ceil((stop - start) / step))
-
  __pyx_v_num_vals = ((size_t)ceil(((__pyx_v_stop - __pyx_v_start) / __pyx_v_step)));
-
 045:
-
+046:     vec_buffer[0] = start
-
  __pyx_t_1 = 0;
-  *((long *) ( /* dim=0 */ (__pyx_v_vec_buffer.data + __pyx_t_1 * __pyx_v_vec_buffer.strides[0]) )) = __pyx_v_start;
-
 047:     ii: cython.size_t
-
+048:     for ii in range(1,num_vals):
-
  __pyx_t_2 = __pyx_v_num_vals;
-  __pyx_t_3 = __pyx_t_2;
-  for (__pyx_t_4 = 1; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
-    __pyx_v_ii = __pyx_t_4;
-
+049:         vec_buffer[ii] = vec_buffer[ii-1] + step
-
    __pyx_t_5 = (__pyx_v_ii - 1);
-    __pyx_t_6 = __pyx_v_ii;
-    *((long *) ( /* dim=0 */ (__pyx_v_vec_buffer.data + __pyx_t_6 * __pyx_v_vec_buffer.strides[0]) )) = ((*((long *) ( /* dim=0 */ (__pyx_v_vec_buffer.data + __pyx_t_5 * __pyx_v_vec_buffer.strides[0]) ))) + __pyx_v_step);
-  }
-
 050:
-
+051:     return vec_buffer[0:num_vals]
-
  __pyx_t_7.data = __pyx_v_vec_buffer.data;
-  __pyx_t_7.memview = __pyx_v_vec_buffer.memview;
-  __PYX_INC_MEMVIEW(&__pyx_t_7, 0);
-  __pyx_t_8 = -1;
-  if (unlikely(__pyx_memoryview_slice_memviewslice(
-    &__pyx_t_7,
-    __pyx_v_vec_buffer.shape[0], __pyx_v_vec_buffer.strides[0], __pyx_v_vec_buffer.suboffsets[0],
-    0,
-    0,
-    &__pyx_t_8,
-    0,
-    __pyx_v_num_vals,
-    0,
-    1,
-    1,
-    0,
-    1) < 0))
-{
-    __PYX_ERR(0, 51, __pyx_L1_error)
-}
-
-__pyx_r = __pyx_t_7;
-  __pyx_t_7.memview = NULL;
-  __pyx_t_7.data = NULL;
-  goto __pyx_L0;
-
 052:
-
 053:
-
+054: @cython.nogil
-
static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_max_double(__Pyx_memviewslice __pyx_v_vals) {
-  size_t __pyx_v_num_vals;
-  size_t __pyx_v_ii;
-  double __pyx_v_max_val;
-  double __pyx_r;
-/* … */
-  /* function exit code */
-  __pyx_L0:;
-  return __pyx_r;
-}
-
 055: @cython.cfunc # python+C or cython.cfunc for C only
-
 056: @cython.boundscheck(False) # Turn off array bounds checking
-
 057: @cython.wraparound(False)  # Turn off negative indexing
-
 058: @cython.cdivision(True)    # Turn off divide by zero check
-
 059: @cython.inline
-
 060: @cython.exceptval(check=False)
-
 061: def vec_max_double(vals: cython.double[:]) -> cython.double:
-
 062:
-
+063:     num_vals: cython.size_t = vals.shape[0]
-
  __pyx_v_num_vals = (__pyx_v_vals.shape[0]);
-
 064:
-
+065:     ii: cython.size_t = 0
-
  __pyx_v_ii = 0;
-
+066:     max_val: cython.double = vals[ii]
-
  __pyx_t_1 = __pyx_v_ii;
-  __pyx_v_max_val = (*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_1 * __pyx_v_vals.strides[0]) )));
-
 067:
-
+068:     for ii in range(1,num_vals):
-
  __pyx_t_1 = __pyx_v_num_vals;
-  __pyx_t_2 = __pyx_t_1;
-  for (__pyx_t_3 = 1; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
-    __pyx_v_ii = __pyx_t_3;
-
+069:         if vals[ii] > max_val:
-
    __pyx_t_4 = __pyx_v_ii;
-    __pyx_t_5 = ((*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_4 * __pyx_v_vals.strides[0]) ))) > __pyx_v_max_val);
-    if (__pyx_t_5) {
-/* … */
-    }
-  }
-
+070:             max_val = vals[ii]
-
      __pyx_t_4 = __pyx_v_ii;
-      __pyx_v_max_val = (*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_4 * __pyx_v_vals.strides[0]) )));
-
 071:
-
+072:     return max_val
-
  __pyx_r = __pyx_v_max_val;
-  goto __pyx_L0;
-
 073:
-
 074:
-
+075: @cython.nogil
-
static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_min_double(__Pyx_memviewslice __pyx_v_vals) {
-  size_t __pyx_v_num_vals;
-  size_t __pyx_v_ii;
-  double __pyx_v_min_val;
-  double __pyx_r;
-/* … */
-  /* function exit code */
-  __pyx_L0:;
-  return __pyx_r;
-}
-
 076: @cython.cfunc # python+C or cython.cfunc for C only
-
 077: @cython.boundscheck(False) # Turn off array bounds checking
-
 078: @cython.wraparound(False)  # Turn off negative indexing
-
 079: @cython.cdivision(True)    # Turn off divide by zero check
-
 080: @cython.inline
-
 081: @cython.exceptval(check=False)
-
 082: def vec_min_double(vals: cython.double[:]) -> cython.double:
-
 083:
-
+084:     num_vals: cython.size_t = vals.shape[0]
-
  __pyx_v_num_vals = (__pyx_v_vals.shape[0]);
-
 085:
-
+086:     ii: cython.size_t = 0
-
  __pyx_v_ii = 0;
-
+087:     min_val: cython.double = vals[ii]
-
  __pyx_t_1 = __pyx_v_ii;
-  __pyx_v_min_val = (*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_1 * __pyx_v_vals.strides[0]) )));
-
 088:
-
+089:     for ii in range(1,num_vals):
-
  __pyx_t_1 = __pyx_v_num_vals;
-  __pyx_t_2 = __pyx_t_1;
-  for (__pyx_t_3 = 1; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
-    __pyx_v_ii = __pyx_t_3;
-
+090:         if vals[ii] < min_val:
-
    __pyx_t_4 = __pyx_v_ii;
-    __pyx_t_5 = ((*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_4 * __pyx_v_vals.strides[0]) ))) < __pyx_v_min_val);
-    if (__pyx_t_5) {
-/* … */
-    }
-  }
-
+091:             min_val = vals[ii]
-
      __pyx_t_4 = __pyx_v_ii;
-      __pyx_v_min_val = (*((double *) ( /* dim=0 */ (__pyx_v_vals.data + __pyx_t_4 * __pyx_v_vals.strides[0]) )));
-
 092:
-
+093:     return min_val
-
  __pyx_r = __pyx_v_min_val;
-  goto __pyx_L0;
-
 094:
-
 095:
-
+096: @cython.nogil
-
static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_dot_double(__Pyx_memviewslice __pyx_v_vec0, __Pyx_memviewslice __pyx_v_vec1) {
-  size_t __pyx_v_vec0_len;
-  size_t __pyx_v_vec1_len;
-  size_t __pyx_v_ii;
-  double __pyx_v_dot;
-  double __pyx_r;
-/* … */
-  /* function exit code */
-  __pyx_L0:;
-  return __pyx_r;
-}
-
 097: @cython.cfunc # python+C or cython.cfunc for C only
-
 098: @cython.boundscheck(False) # Turn off array bounds checking
-
 099: @cython.wraparound(False)  # Turn off negative indexing
-
 100: @cython.cdivision(True)    # Turn off divide by zero check
-
 101: @cython.inline
-
 102: @cython.exceptval(check=False)
-
 103: def vec_dot_double(vec0: cython.double[:], vec1: cython.double[:]
-
 104:                    ) -> cython.double:
-
+105:     vec0_len: cython.size_t = vec0.shape[0]
-
  __pyx_v_vec0_len = (__pyx_v_vec0.shape[0]);
-
+106:     vec1_len: cython.size_t = vec1.shape[0]
-
  __pyx_v_vec1_len = (__pyx_v_vec1.shape[0]);
-
+107:     if vec0_len != vec1_len:
-
  __pyx_t_1 = (__pyx_v_vec0_len != __pyx_v_vec1_len);
-  if (__pyx_t_1) {
-/* … */
-  }
-
+108:         return 0.0
-
    __pyx_r = 0.0;
-    goto __pyx_L0;
-
 109:
-
+110:     ii: cython.size_t = 0
-
  __pyx_v_ii = 0;
-
+111:     dot: cython.double = 0.0
-
  __pyx_v_dot = 0.0;
-
+112:     for ii in range(vec0_len):
-
  __pyx_t_2 = __pyx_v_vec0_len;
-  __pyx_t_3 = __pyx_t_2;
-  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
-    __pyx_v_ii = __pyx_t_4;
-
+113:         dot += vec0[ii]*vec1[ii]
-
    __pyx_t_5 = __pyx_v_ii;
-    __pyx_t_6 = __pyx_v_ii;
-    __pyx_v_dot = (__pyx_v_dot + ((*((double *) ( /* dim=0 */ (__pyx_v_vec0.data + __pyx_t_5 * __pyx_v_vec0.strides[0]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec1.data + __pyx_t_6 * __pyx_v_vec1.strides[0]) )))));
-  }
-
 114:
-
+115:     return dot
-
  __pyx_r = __pyx_v_dot;
-  goto __pyx_L0;
-
 116:
-
 117:
-
+118: @cython.nogil
-
static CYTHON_INLINE int __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_min(double __pyx_v_min_val) {
-  int __pyx_v_min_ind;
-  int __pyx_r;
-/* … */
-  /* function exit code */
-  __pyx_L0:;
-  return __pyx_r;
-}
-
 119: @cython.cfunc # python+C or cython.cfunc for C only
-
 120: @cython.boundscheck(False) # Turn off array bounds checking
-
 121: @cython.wraparound(False)  # Turn off negative indexing
-
 122: @cython.cdivision(True)    # Turn off divide by zero check
-
 123: @cython.inline
-
 124: @cython.exceptval(check=False)
-
 125: def bound_index_min(min_val: cython.double) -> cython.int:
-
+126:     min_ind: cython.int = int(floor(min_val))
-
  __pyx_v_min_ind = ((int)floor(__pyx_v_min_val));
-
+127:     if min_ind < 0:
-
  __pyx_t_1 = (__pyx_v_min_ind < 0);
-  if (__pyx_t_1) {
-/* … */
-  }
-
+128:         min_ind = 0
-
    __pyx_v_min_ind = 0;
-
+129:     return min_ind
-
  __pyx_r = __pyx_v_min_ind;
-  goto __pyx_L0;
-
 130:
-
 131:
-
+132: @cython.nogil
-
static CYTHON_INLINE int __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_max(double __pyx_v_max_val, int __pyx_v_num_pixels) {
-  int __pyx_v_max_ind;
-  int __pyx_r;
-/* … */
-  /* function exit code */
-  __pyx_L0:;
-  return __pyx_r;
-}
-
 133: @cython.cfunc # python+C or cython.cfunc for C only
-
 134: @cython.boundscheck(False) # Turn off array bounds checking
-
 135: @cython.wraparound(False)  # Turn off negative indexing
-
 136: @cython.cdivision(True)    # Turn off divide by zero check
-
 137: @cython.inline
-
 138: @cython.exceptval(check=False)
-
 139: def bound_index_max(max_val: cython.double,
-
 140:                     num_pixels: cython.int) -> cython.int:
-
+141:     max_ind: cython.int = int(ceil(max_val))
-
  __pyx_v_max_ind = ((int)ceil(__pyx_v_max_val));
-
+142:     if max_ind > (num_pixels-1):
-
  __pyx_t_1 = (__pyx_v_max_ind > (__pyx_v_num_pixels - 1));
-  if (__pyx_t_1) {
-/* … */
-  }
-
+143:         max_ind = (num_pixels-1)
-
    __pyx_v_max_ind = (__pyx_v_num_pixels - 1);
-
+144:     return max_ind
-
  __pyx_r = __pyx_v_max_ind;
-  goto __pyx_L0;
-
 145:
-
 146:
-
+147: @cython.nogil
-
static CYTHON_INLINE __Pyx_memviewslice __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_mult_mat44_by_vec3(__Pyx_memviewslice __pyx_v_mat44, __Pyx_memviewslice __pyx_v_vec3_in, __Pyx_memviewslice __pyx_v_vec3_out) {
-  __Pyx_memviewslice __pyx_r = { 0, 0, { 0 }, { 0 }, { 0 } };
-/* … */
-  /* function exit code */
-  __pyx_L0:;
-  if (unlikely(!__pyx_r.memview)) {
-    PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
-    PyErr_SetString(PyExc_TypeError, "Memoryview return value is not initialized");
-    __Pyx_PyGILState_Release(__pyx_gilstate_save);
-  }
-  return __pyx_r;
-}
-
 148: @cython.cfunc # python+C or cython.cfunc for C only
-
 149: @cython.boundscheck(False) # Turn off array bounds checking
-
 150: @cython.wraparound(False)  # Turn off negative indexing
-
 151: @cython.cdivision(True)    # Turn off divide by zero check
-
 152: @cython.inline
-
 153: @cython.exceptval(check=False)
-
 154: def mult_mat44_by_vec3(mat44: cython.double[:,:], vec3_in: cython.double[:],
-
 155:                        vec3_out: cython.double[:]) -> cython.double[:]:
-
 156:
-
+157:     vec3_out[0] = (mat44[0,0]*vec3_in[0]
-
  __pyx_t_1 = 0;
-  __pyx_t_2 = 0;
-  __pyx_t_3 = 0;
-/* … */
-  __pyx_t_12 = 0;
-  *((double *) ( /* dim=0 */ (__pyx_v_vec3_out.data + __pyx_t_12 * __pyx_v_vec3_out.strides[0]) )) = (((((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_1 * __pyx_v_mat44.strides[0]) ) + __pyx_t_2 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_3 * __pyx_v_vec3_in.strides[0]) )))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_4 * __pyx_v_mat44.strides[0]) ) + __pyx_t_5 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_6 * __pyx_v_vec3_in.strides[0]) ))))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_7 * __pyx_v_mat44.strides[0]) ) + __pyx_t_8 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_9 * __pyx_v_vec3_in.strides[0]) ))))) + (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_10 * __pyx_v_mat44.strides[0]) ) + __pyx_t_11 * __pyx_v_mat44.strides[1]) ))));
-
+158:                       + mat44[0,1]*vec3_in[1]
-
  __pyx_t_4 = 0;
-  __pyx_t_5 = 1;
-  __pyx_t_6 = 1;
-
+159:                       + mat44[0,2]*vec3_in[2]
-
  __pyx_t_7 = 0;
-  __pyx_t_8 = 2;
-  __pyx_t_9 = 2;
-
+160:                       + mat44[0,3])
-
  __pyx_t_10 = 0;
-  __pyx_t_11 = 3;
-
+161:     vec3_out[1] = (mat44[1,0]*vec3_in[0]
-
  __pyx_t_11 = 1;
-  __pyx_t_10 = 0;
-  __pyx_t_9 = 0;
-/* … */
-  __pyx_t_12 = 1;
-  *((double *) ( /* dim=0 */ (__pyx_v_vec3_out.data + __pyx_t_12 * __pyx_v_vec3_out.strides[0]) )) = (((((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_11 * __pyx_v_mat44.strides[0]) ) + __pyx_t_10 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_9 * __pyx_v_vec3_in.strides[0]) )))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_8 * __pyx_v_mat44.strides[0]) ) + __pyx_t_7 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_6 * __pyx_v_vec3_in.strides[0]) ))))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_5 * __pyx_v_mat44.strides[0]) ) + __pyx_t_4 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_3 * __pyx_v_vec3_in.strides[0]) ))))) + (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_2 * __pyx_v_mat44.strides[0]) ) + __pyx_t_1 * __pyx_v_mat44.strides[1]) ))));
-
+162:                       + mat44[1,1]*vec3_in[1]
-
  __pyx_t_8 = 1;
-  __pyx_t_7 = 1;
-  __pyx_t_6 = 1;
-
+163:                       + mat44[1,2]*vec3_in[2]
-
  __pyx_t_5 = 1;
-  __pyx_t_4 = 2;
-  __pyx_t_3 = 2;
-
+164:                       + mat44[1,3])
-
  __pyx_t_2 = 1;
-  __pyx_t_1 = 3;
-
+165:     vec3_out[2] = (mat44[2,0]*vec3_in[0]
-
  __pyx_t_1 = 2;
-  __pyx_t_2 = 0;
-  __pyx_t_3 = 0;
-/* … */
-  __pyx_t_12 = 2;
-  *((double *) ( /* dim=0 */ (__pyx_v_vec3_out.data + __pyx_t_12 * __pyx_v_vec3_out.strides[0]) )) = (((((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_1 * __pyx_v_mat44.strides[0]) ) + __pyx_t_2 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_3 * __pyx_v_vec3_in.strides[0]) )))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_4 * __pyx_v_mat44.strides[0]) ) + __pyx_t_5 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_6 * __pyx_v_vec3_in.strides[0]) ))))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_7 * __pyx_v_mat44.strides[0]) ) + __pyx_t_8 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_9 * __pyx_v_vec3_in.strides[0]) ))))) + (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_10 * __pyx_v_mat44.strides[0]) ) + __pyx_t_11 * __pyx_v_mat44.strides[1]) ))));
-
+166:                       + mat44[2,1]*vec3_in[1]
-
  __pyx_t_4 = 2;
-  __pyx_t_5 = 1;
-  __pyx_t_6 = 1;
-
+167:                       + mat44[2,2]*vec3_in[2]
-
  __pyx_t_7 = 2;
-  __pyx_t_8 = 2;
-  __pyx_t_9 = 2;
-
+168:                       + mat44[2,3])
-
  __pyx_t_10 = 2;
-  __pyx_t_11 = 3;
-
+169:     vec3_out[3] = (mat44[3,0]*vec3_in[0]
-
  __pyx_t_11 = 3;
-  __pyx_t_10 = 0;
-  __pyx_t_9 = 0;
-/* … */
-  __pyx_t_12 = 3;
-  *((double *) ( /* dim=0 */ (__pyx_v_vec3_out.data + __pyx_t_12 * __pyx_v_vec3_out.strides[0]) )) = (((((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_11 * __pyx_v_mat44.strides[0]) ) + __pyx_t_10 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_9 * __pyx_v_vec3_in.strides[0]) )))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_8 * __pyx_v_mat44.strides[0]) ) + __pyx_t_7 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_6 * __pyx_v_vec3_in.strides[0]) ))))) + ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_5 * __pyx_v_mat44.strides[0]) ) + __pyx_t_4 * __pyx_v_mat44.strides[1]) ))) * (*((double *) ( /* dim=0 */ (__pyx_v_vec3_in.data + __pyx_t_3 * __pyx_v_vec3_in.strides[0]) ))))) + (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_mat44.data + __pyx_t_2 * __pyx_v_mat44.strides[0]) ) + __pyx_t_1 * __pyx_v_mat44.strides[1]) ))));
-
+170:                       + mat44[3,1]*vec3_in[1]
-
  __pyx_t_8 = 3;
-  __pyx_t_7 = 1;
-  __pyx_t_6 = 1;
-
+171:                       + mat44[3,2]*vec3_in[2]
-
  __pyx_t_5 = 3;
-  __pyx_t_4 = 2;
-  __pyx_t_3 = 2;
-
+172:                       + mat44[3,3])
-
  __pyx_t_2 = 3;
-  __pyx_t_1 = 3;
-
 173:
-
+174:     return vec3_out
-
  __PYX_INC_MEMVIEW(&__pyx_v_vec3_out, 0);
-  __pyx_r = __pyx_v_vec3_out;
-  goto __pyx_L0;
-
 175:
-
 176:
-
+177: @cython.nogil
-
static __Pyx_memviewslice __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_world_to_raster_coords(__Pyx_memviewslice __pyx_v_coords_world, __Pyx_memviewslice __pyx_v_world_to_cam_mat, double __pyx_v_image_dist, __Pyx_memviewslice __pyx_v_image_dims, __Pyx_memviewslice __pyx_v_num_pixels, __Pyx_memviewslice __pyx_v_coords_raster) {
-  size_t __pyx_v_xx;
-  size_t __pyx_v_yy;
-  size_t __pyx_v_zz;
-  size_t __pyx_v_ww;
-  __Pyx_memviewslice __pyx_r = { 0, 0, { 0 }, { 0 }, { 0 } };
-  __PYX_INC_MEMVIEW(&__pyx_v_coords_raster, 0);
-/* … */
-  /* function exit code */
-  __pyx_L1_error:;
-  __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
-  __PYX_XCLEAR_MEMVIEW(&__pyx_t_1, 1);
-  __pyx_r.data = NULL;
-  __pyx_r.memview = NULL;
-  __Pyx_AddTraceback("pyvale.sensorsim.cython.rastercyth.world_to_raster_coords", __pyx_clineno, __pyx_lineno, __pyx_filename);
-  goto __pyx_L2;
-  __pyx_L0:;
-  if (unlikely(!__pyx_r.memview)) {
-    PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
-    PyErr_SetString(PyExc_TypeError, "Memoryview return value is not initialized");
-    __Pyx_PyGILState_Release(__pyx_gilstate_save);
-  }
-  __Pyx_PyGILState_Release(__pyx_gilstate_save);
-  __pyx_L2:;
-  __PYX_XCLEAR_MEMVIEW(&__pyx_v_coords_raster, 0);
-  return __pyx_r;
-}
-
 178: @cython.cfunc # python+C or cython.cfunc for C only
-
 179: @cython.boundscheck(False) # Turn off array bounds checking
-
 180: @cython.wraparound(False)  # Turn off negative indexing
-
 181: @cython.cdivision(True)    # Turn off divide by zero check
-
 182: @cython.exceptval(check=False)
-
 183: def world_to_raster_coords(coords_world: cython.double[:],
-
 184:                            world_to_cam_mat: cython.double[:,:],
-
 185:                            image_dist: cython.double,
-
 186:                            image_dims: cython.double[:],
-
 187:                            num_pixels: cython.int[:],
-
 188:                            coords_raster: cython.double[:]
-
 189:                            ) -> cython.double[:]:
-
+190:     xx: cython.size_t = 0
-
  __pyx_v_xx = 0;
-
+191:     yy: cython.size_t = 1
-
  __pyx_v_yy = 1;
-
+192:     zz: cython.size_t = 2
-
  __pyx_v_zz = 2;
-
+193:     ww: cython.size_t = 3
-
  __pyx_v_ww = 3;
-
 194:
-
+195:     coords_raster = mult_mat44_by_vec3(world_to_cam_mat,
-
  __pyx_t_1 = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_mult_mat44_by_vec3(__pyx_v_world_to_cam_mat, __pyx_v_coords_world, __pyx_v_coords_raster); if (unlikely(!__pyx_t_1.memview)) __PYX_ERR(0, 195, __pyx_L1_error)
-  __PYX_XCLEAR_MEMVIEW(&__pyx_v_coords_raster, 0);
-  __pyx_v_coords_raster = __pyx_t_1;
-  __pyx_t_1.memview = NULL;
-  __pyx_t_1.data = NULL;
-
 196:                                        coords_world,
-
 197:                                        coords_raster)
-
 198:
-
+199:     coords_raster[xx] = coords_raster[xx] / coords_raster[ww]
-
  __pyx_t_2 = __pyx_v_xx;
-  __pyx_t_3 = __pyx_v_ww;
-  __pyx_t_4 = __pyx_v_xx;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) ))) / (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) ))));
-
+200:     coords_raster[yy] = coords_raster[yy] / coords_raster[ww]
-
  __pyx_t_3 = __pyx_v_yy;
-  __pyx_t_2 = __pyx_v_ww;
-  __pyx_t_4 = __pyx_v_yy;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) ))) / (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) ))));
-
+201:     coords_raster[zz] = coords_raster[zz] / coords_raster[ww]
-
  __pyx_t_2 = __pyx_v_zz;
-  __pyx_t_3 = __pyx_v_ww;
-  __pyx_t_4 = __pyx_v_zz;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) ))) / (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) ))));
-
 202:
-
+203:     coords_raster[xx] = (image_dist * coords_raster[xx]
-
  __pyx_t_3 = __pyx_v_xx;
-/* … */
-  __pyx_t_4 = __pyx_v_xx;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((__pyx_v_image_dist * (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) )))) / (-(*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )))));
-
+204:                         / -coords_raster[zz])
-
  __pyx_t_2 = __pyx_v_zz;
-
+205:     coords_raster[yy] = (image_dist * coords_raster[yy]
-
  __pyx_t_2 = __pyx_v_yy;
-/* … */
-  __pyx_t_4 = __pyx_v_yy;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((__pyx_v_image_dist * (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )))) / (-(*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) )))));
-
+206:                         / -coords_raster[zz])
-
  __pyx_t_3 = __pyx_v_zz;
-
 207:
-
+208:     coords_raster[xx] = 2*coords_raster[xx] / image_dims[xx]
-
  __pyx_t_3 = __pyx_v_xx;
-  __pyx_t_2 = __pyx_v_xx;
-  __pyx_t_4 = __pyx_v_xx;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((2.0 * (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) )))) / (*((double *) ( /* dim=0 */ (__pyx_v_image_dims.data + __pyx_t_2 * __pyx_v_image_dims.strides[0]) ))));
-
+209:     coords_raster[yy] = 2*coords_raster[yy] / image_dims[yy]
-
  __pyx_t_2 = __pyx_v_yy;
-  __pyx_t_3 = __pyx_v_yy;
-  __pyx_t_4 = __pyx_v_yy;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((2.0 * (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )))) / (*((double *) ( /* dim=0 */ (__pyx_v_image_dims.data + __pyx_t_3 * __pyx_v_image_dims.strides[0]) ))));
-
 210:
-
+211:     coords_raster[xx] = (coords_raster[xx] + 1)/2 * num_pixels[xx]
-
  __pyx_t_3 = __pyx_v_xx;
-  __pyx_t_2 = __pyx_v_xx;
-  __pyx_t_4 = __pyx_v_xx;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = ((((*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) ))) + 1.0) / 2.0) * (*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_2 * __pyx_v_num_pixels.strides[0]) ))));
-
+212:     coords_raster[yy] = (1-coords_raster[yy])/2 * num_pixels[yy]
-
  __pyx_t_2 = __pyx_v_yy;
-  __pyx_t_3 = __pyx_v_yy;
-  __pyx_t_4 = __pyx_v_yy;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_4 * __pyx_v_coords_raster.strides[0]) )) = (((1.0 - (*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )))) / 2.0) * (*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_3 * __pyx_v_num_pixels.strides[0]) ))));
-
+213:     coords_raster[zz] = -coords_raster[zz]
-
  __pyx_t_3 = __pyx_v_zz;
-  __pyx_t_2 = __pyx_v_zz;
-  *((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_2 * __pyx_v_coords_raster.strides[0]) )) = (-(*((double *) ( /* dim=0 */ (__pyx_v_coords_raster.data + __pyx_t_3 * __pyx_v_coords_raster.strides[0]) ))));
-
 214:
-
+215:     return coords_raster
-
  __PYX_INC_MEMVIEW(&__pyx_v_coords_raster, 0);
-  __pyx_r = __pyx_v_coords_raster;
-  goto __pyx_L0;
-
 216:
-
+217: @cython.cfunc
-
static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__Pyx_memviewslice __pyx_v_vert_0, __Pyx_memviewslice __pyx_v_vert_1, __Pyx_memviewslice __pyx_v_vert_2) {
-  double __pyx_v_edge_fun;
-  double __pyx_r;
-/* … */
-  /* function exit code */
-  __pyx_L0:;
-  return __pyx_r;
-}
-
 218: @cython.nogil
-
 219: @cython.boundscheck(False)
-
 220: @cython.wraparound(False)
-
 221: @cython.inline
-
 222: @cython.exceptval(check=False)
-
 223: def edge_function(vert_0: cython.double[:],
-
 224:                   vert_1: cython.double[:],
-
 225:                   vert_2: cython.double[:]) -> cython.double:
-
 226:     edge_fun: cython.double = (
-
+227:         (vert_2[0] - vert_0[0]) * (vert_1[1] - vert_0[1])
-
  __pyx_t_1 = 0;
-  __pyx_t_2 = 0;
-  __pyx_t_3 = 1;
-  __pyx_t_4 = 1;
-
+228:         - (vert_2[1] - vert_0[1]) * (vert_1[0] - vert_0[0]))
-
  __pyx_t_5 = 1;
-  __pyx_t_6 = 1;
-  __pyx_t_7 = 0;
-  __pyx_t_8 = 0;
-  __pyx_v_edge_fun = ((((*((double *) ( /* dim=0 */ (__pyx_v_vert_2.data + __pyx_t_1 * __pyx_v_vert_2.strides[0]) ))) - (*((double *) ( /* dim=0 */ (__pyx_v_vert_0.data + __pyx_t_2 * __pyx_v_vert_0.strides[0]) )))) * ((*((double *) ( /* dim=0 */ (__pyx_v_vert_1.data + __pyx_t_3 * __pyx_v_vert_1.strides[0]) ))) - (*((double *) ( /* dim=0 */ (__pyx_v_vert_0.data + __pyx_t_4 * __pyx_v_vert_0.strides[0]) ))))) - (((*((double *) ( /* dim=0 */ (__pyx_v_vert_2.data + __pyx_t_5 * __pyx_v_vert_2.strides[0]) ))) - (*((double *) ( /* dim=0 */ (__pyx_v_vert_0.data + __pyx_t_6 * __pyx_v_vert_0.strides[0]) )))) * ((*((double *) ( /* dim=0 */ (__pyx_v_vert_1.data + __pyx_t_7 * __pyx_v_vert_1.strides[0]) ))) - (*((double *) ( /* dim=0 */ (__pyx_v_vert_0.data + __pyx_t_8 * __pyx_v_vert_0.strides[0]) ))))));
-
+229:     return edge_fun
-
  __pyx_r = __pyx_v_edge_fun;
-  goto __pyx_L0;
-
 230:
-
 231:
-
+232: @cython.cfunc
-
static CYTHON_INLINE double __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function_pt(__Pyx_memviewslice __pyx_v_vert_0, __Pyx_memviewslice __pyx_v_vert_1, double __pyx_v_vert_2_x, double __pyx_v_vert_2_y) {
-  double __pyx_v_edge_fun;
-  double __pyx_r;
-/* … */
-  /* function exit code */
-  __pyx_L0:;
-  return __pyx_r;
-}
-
 233: @cython.nogil
-
 234: @cython.boundscheck(False)
-
 235: @cython.wraparound(False)
-
 236: @cython.inline
-
 237: @cython.exceptval(check=False)
-
 238: def edge_function_pt(vert_0: cython.double[:],
-
 239:                      vert_1: cython.double[:],
-
 240:                      vert_2_x: cython.double,
-
 241:                      vert_2_y: cython.double) -> cython.double:
-
 242:     edge_fun: cython.double = (
-
+243:         (vert_2_x - vert_0[0]) * (vert_1[1] - vert_0[1])
-
  __pyx_t_1 = 0;
-  __pyx_t_2 = 1;
-  __pyx_t_3 = 1;
-
+244:         - (vert_2_y - vert_0[1]) * (vert_1[0] - vert_0[0]))
-
  __pyx_t_4 = 1;
-  __pyx_t_5 = 0;
-  __pyx_t_6 = 0;
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-
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-
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static int __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth__average_image(__Pyx_memviewslice __pyx_v_image_buff_subpx_in, int __pyx_v_sub_samp, __Pyx_memviewslice __pyx_v_image_buff_avg_out) {
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-
 298: def _average_image(image_buff_subpx_in: cython.double[:,:],
-
 299:                    sub_samp: cython.int,
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 300:                    image_buff_avg_out: cython.double[:,:]
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-
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-
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-
 406: @cython.boundscheck(False) # Turn off array bounds checking
-
 407: @cython.wraparound(False)  # Turn off negative indexing
-
 408: @cython.cdivision(True)    # Turn off divide by zero check
-
 409: def raster_deform_frame(coords: cython.double[:,:],
-
 410:                         connect: cython.size_t[:,:],
-
 411:                         fields_to_render: cython.double[:,:],
-
 412:                         cam_data: CameraData,
-
 413:                         field_disp: cython.double[:,:],
-
 414:                         ) -> tuple[np.ndarray,np.ndarray,int]:
-
 415:     pass
-
 416:
-
 417: #///////////////////////////////////////////////////////////////////////////////
-
 418: #@cython.nogil
-
+419: @cython.cfunc # python+C or cython.cfunc for C only
-
static size_t __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth__raster_frame(__Pyx_memviewslice __pyx_v_coords, __Pyx_memviewslice __pyx_v_connect, __Pyx_memviewslice __pyx_v_fields_to_render, __Pyx_memviewslice __pyx_v_world_to_cam_mat, __Pyx_memviewslice __pyx_v_num_pixels, __Pyx_memviewslice __pyx_v_image_dims, double __pyx_v_image_dist, int __pyx_v_sub_samp, __Pyx_memviewslice __pyx_v_image_buff_avg, __Pyx_memviewslice __pyx_v_depth_buff_avg, __Pyx_memviewslice __pyx_v_image_buff_subpx, __Pyx_memviewslice __pyx_v_depth_buff_subpx, __Pyx_memviewslice __pyx_v_nodes_raster_buff, __Pyx_memviewslice __pyx_v_field_raster_buff, __Pyx_memviewslice __pyx_v_px_coord_buff, __Pyx_memviewslice __pyx_v_weights_buff) {
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-  size_t __pyx_v_elem_count;
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-  size_t __pyx_v_fields_num;
-  double __pyx_v_tol;
-  size_t __pyx_v_elems_in_image;
-  double __pyx_v_coord_step;
-  double __pyx_v_coord_offset;
-  size_t __pyx_v_ee;
-  size_t __pyx_v_nn;
-  CYTHON_UNUSED size_t __pyx_v_ii;
-  CYTHON_UNUSED size_t __pyx_v_jj;
-  size_t __pyx_v_ww;
-  size_t __pyx_v_ff;
-  double __pyx_v_elem_area;
-  double __pyx_v_x_min;
-  double __pyx_v_x_max;
-  double __pyx_v_y_min;
-  double __pyx_v_y_max;
-  size_t __pyx_v_xi_min;
-  size_t __pyx_v_xi_max;
-  size_t __pyx_v_yi_min;
-  size_t __pyx_v_yi_max;
-  size_t __pyx_v_num_bound_x;
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-  double __pyx_v_bound_coord_y;
-  size_t __pyx_v_bound_ind_x;
-  size_t __pyx_v_bound_ind_y;
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-  double __pyx_v_px_coord_z;
-  double __pyx_v_px_field;
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-
 420: @cython.boundscheck(False) # Turn off array bounds checking
-
 421: @cython.wraparound(False)  # Turn off negative indexing
-
 422: @cython.cdivision(True)    # Turn off divide by zero check
-
 423: @cython.exceptval(check=False) # Turn off exceptions
-
 424: def _raster_frame(coords: cython.double[:,:],
-
 425:                  connect: cython.size_t[:,:],
-
 426:                  fields_to_render: cython.double[:,:],
-
 427:                  world_to_cam_mat: cython.double[:,:],
-
 428:                  num_pixels: cython.int[:],
-
 429:                  image_dims: cython.double[:],
-
 430:                  image_dist: cython.double,
-
 431:                  sub_samp: cython.int,
-
 432:                  # From here these are memory buffers that will be written into
-
 433:                  image_buff_avg: cython.double[:,:,:],
-
 434:                  depth_buff_avg: cython.double[:,:],
-
 435:                  image_buff_subpx: cython.double[:,:,:],
-
 436:                  depth_buff_subpx: cython.double[:,:],
-
 437:                  nodes_raster_buff: cython.double[:,:],
-
 438:                  field_raster_buff: cython.double[:],
-
 439:                  px_coord_buff: cython.double[:],
-
 440:                  weights_buff: cython.double[:],
-
 441:                  ) -> cython.size_t:
-
 442:     """Rasters a single frame and all associated fields into the image and depth
-
 443:     buffer provided as inputs to the function. This is a pure cython function
-
 444:     with the GIL released for parallelisation. All fields (textures) are
-
 445:     rendered in a sub-loop so that the depth buffer and inside/outside test is
-
 446:     only performed once for all fields to be rendered.
-
 447:
-
 448:     Parameters
-
 449:     ----------
-
 450:     coords : cython.double[:,:]
-
 451:         Input. shape=(num_nodes,coords[x,y,z,w])
-
 452:     connect : cython.size_t[:,:]
-
 453:         Input. shape=(num_elems,nodes_per_elem)
-
 454:     fields_to_render : cython.double[:,:]
-
 455:         Input. shape=(num_nodes,num_fields)
-
 456:     world_to_cam_mat : cython.double[:,:]
-
 457:         Input. Homogeneous coordinate transformation matrix from world to camera
-
 458:          coordinates. shape=(4,4).
-
 459:     num_pixels : cython.int[:]
-
 460:         Input. shape=(2 [num_px_x,num_px_y],)
-
 461:     image_dims : cython.double[:]
-
 462:         Input. shape=(2 [fov_size_x,fov_size_y],)
-
 463:     image_dist : cython.double
-
 464:         Input.
-
 465:     sub_samp : cython.int
-
 466:         Number of subsamples per pixel for anti-aliasing.
-
 467:     image_buff_avg : cython.double[:,:,:]
-
 468:         Output buffer. shape=(num_px_y,num_px_x,num_fields)
-
 469:     depth_buff_avg : cython.double[:,:]
-
 470:         Output buffer. shape=(num_px_y,num_px_x)
-
 471:     image_buff_subpx : cython.double[:,:,:]
-
 472:         Processing buffer (output). shape=(num_subpx_y,num_subpx_x,num_fields)
-
 473:     depth_buff_subpx : cython.double[:,:]
-
 474:         Processing buffer (output). shape=(num_subpx_y,num_subpx_x)
-
 475:     nodes_raster_buff : cython.double[:,:]
-
 476:         Processing buffer. shape=(nodes_per_elem, 4 coord[x,y,z,w])
-
 477:     field_raster_buff : cython.double[:]
-
 478:         Processing buffer. shape=(nodes_per_elem,)
-
 479:     px_coord_buff : cython.double[:]
-
 480:         Processing buffer. shape=(2,)
-
 481:     weights_buff : cython.double[:]
-
 482:         Processing buffer. shape=(nodes_per_elem,)
-
 483:
-
 484:     Returns
-
 485:     -------
-
 486:     cython.size_t
-
 487:         Number of rendered elements after backface culling and cropping.
-
 488:     """
-
 489:
-
+490:     xx: cython.size_t = 0
-
  __pyx_v_xx = 0;
-
+491:     yy: cython.size_t = 1
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  __pyx_v_yy = 1;
-
+492:     zz: cython.size_t = 2
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  __pyx_v_zz = 2;
-
 493:
-
+494:     elem_count: cython.size_t = connect.shape[0]
-
  __pyx_v_elem_count = (__pyx_v_connect.shape[0]);
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+495:     nodes_per_elem: cython.size_t = connect.shape[1]
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+496:     fields_num: cython.size_t = fields_to_render.shape[1]
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  __pyx_v_fields_num = (__pyx_v_fields_to_render.shape[1]);
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 497:
-
 498:     # tolerance for floating point zero dot product
-
+499:     tol: cython.double = 1e-12
-
  __pyx_v_tol = 1e-12;
-
 500:
-
 501:     #elem_count: cython.size_t = 1
-
+502:     elems_in_image: cython.size_t = 0
-
  __pyx_v_elems_in_image = 0;
-
 503:
-
 504:     # Lifted constants
-
+505:     coord_step: cython.double = 1.0/float(sub_samp)
-
  __pyx_v_coord_step = (1.0 / ((double)__pyx_v_sub_samp));
-
+506:     coord_offset: cython.double = 1.0/(2.0*float(sub_samp))
-
  __pyx_v_coord_offset = (1.0 / (2.0 * ((double)__pyx_v_sub_samp)));
-
 507:
-
+508:     ee: cython.size_t = 0
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  __pyx_v_ee = 0;
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+509:     nn: cython.size_t = 0
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  __pyx_v_nn = 0;
-
+510:     ii: cython.size_t = 0
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-
+511:     jj: cython.size_t = 0
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  __pyx_v_jj = 0;
-
+512:     ww: cython.size_t = 0
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  __pyx_v_ww = 0;
-
+513:     ff: cython.size_t = 0
-
  __pyx_v_ff = 0;
-
 514:
-
+515:     for ee in range(elem_count):
-
  __pyx_t_1 = __pyx_v_elem_count;
-  __pyx_t_2 = __pyx_t_1;
-  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
-    __pyx_v_ee = __pyx_t_3;
-
 516:
-
+517:         for nn in range(nodes_per_elem):
-
    __pyx_t_4 = __pyx_v_nodes_per_elem;
-    __pyx_t_5 = __pyx_t_4;
-    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
-      __pyx_v_nn = __pyx_t_6;
-
 518:             # shape=(nodes_per_elem, coord[X,Y,Z,W])
-
+519:             nodes_raster_buff[nn,:] = world_to_raster_coords(coords[connect[ee,nn],:],
-
      __pyx_t_7 = __pyx_v_ee;
-      __pyx_t_8 = __pyx_v_nn;
-      __pyx_t_9.data = __pyx_v_coords.data;
-      __pyx_t_9.memview = __pyx_v_coords.memview;
-      __PYX_INC_MEMVIEW(&__pyx_t_9, 1);
-      {
-    Py_ssize_t __pyx_tmp_idx = (*((size_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_connect.data + __pyx_t_7 * __pyx_v_connect.strides[0]) ) + __pyx_t_8 * __pyx_v_connect.strides[1]) )));
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_coords.strides[0];
-        __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_9.shape[0] = __pyx_v_coords.shape[1];
-__pyx_t_9.strides[0] = __pyx_v_coords.strides[1];
-    __pyx_t_9.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) {
-        PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-        __PYX_ERR(0, 519, __pyx_L1_error)
-      }
-/* … */
-      __pyx_t_11 = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_world_to_raster_coords(__pyx_t_9, __pyx_v_world_to_cam_mat, __pyx_v_image_dist, __pyx_v_image_dims, __pyx_v_num_pixels, __pyx_t_10); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(0, 519, __pyx_L1_error)
-      __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1);
-      __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
-      __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1);
-      __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL;
-      __pyx_t_10.data = __pyx_v_nodes_raster_buff.data;
-      __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview;
-      __PYX_INC_MEMVIEW(&__pyx_t_10, 1);
-      {
-    Py_ssize_t __pyx_tmp_idx = __pyx_v_nn;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_10.suboffsets[0] = -1;
-
-if (unlikely((__pyx_memoryview_copy_contents(__pyx_t_11, __pyx_t_10, 1, 1, 0) < 0))) __PYX_ERR(0, 519, __pyx_L1_error)
-      __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1);
-      __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL;
-      __PYX_XCLEAR_MEMVIEW(&__pyx_t_11, 1);
-      __pyx_t_11.memview = NULL; __pyx_t_11.data = NULL;
-    }
-
 520:                                                         world_to_cam_mat,
-
 521:                                                         image_dist,
-
 522:                                                         image_dims,
-
 523:                                                         num_pixels,
-
+524:                                                         nodes_raster_buff[nn,:])
-
      __pyx_t_10.data = __pyx_v_nodes_raster_buff.data;
-      __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview;
-      __PYX_INC_MEMVIEW(&__pyx_t_10, 1);
-      {
-    Py_ssize_t __pyx_tmp_idx = __pyx_v_nn;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_10.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) {
-        PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-        __PYX_ERR(0, 524, __pyx_L1_error)
-      }
-
 525:
-
 526:
-
+527:         elem_area: cython.double = edge_function(nodes_raster_buff[0,:],
-
    __pyx_t_11.data = __pyx_v_nodes_raster_buff.data;
-    __pyx_t_11.memview = __pyx_v_nodes_raster_buff.memview;
-    __PYX_INC_MEMVIEW(&__pyx_t_11, 1);
-    {
-    Py_ssize_t __pyx_tmp_idx = 0;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_11.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_11.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_11.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_11.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_11.memview) == Py_None)) {
-      PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-      __PYX_ERR(0, 527, __pyx_L1_error)
-    }
-/* … */
-    __pyx_v_elem_area = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__pyx_t_11, __pyx_t_10, __pyx_t_9);
-    __PYX_XCLEAR_MEMVIEW(&__pyx_t_11, 1);
-    __pyx_t_11.memview = NULL; __pyx_t_11.data = NULL;
-    __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1);
-    __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL;
-    __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1);
-    __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
-
+528:                                                  nodes_raster_buff[1,:],
-
    __pyx_t_10.data = __pyx_v_nodes_raster_buff.data;
-    __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview;
-    __PYX_INC_MEMVIEW(&__pyx_t_10, 1);
-    {
-    Py_ssize_t __pyx_tmp_idx = 1;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_10.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) {
-      PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-      __PYX_ERR(0, 528, __pyx_L1_error)
-    }
-
+529:                                                  nodes_raster_buff[2,:])
-
    __pyx_t_9.data = __pyx_v_nodes_raster_buff.data;
-    __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview;
-    __PYX_INC_MEMVIEW(&__pyx_t_9, 1);
-    {
-    Py_ssize_t __pyx_tmp_idx = 2;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_9.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) {
-      PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-      __PYX_ERR(0, 529, __pyx_L1_error)
-    }
-
 530:
-
+531:         if elem_area < -tol: # Backface culling
-
    __pyx_t_12 = (__pyx_v_elem_area < (-__pyx_v_tol));
-    if (__pyx_t_12) {
-/* … */
-    }
-
+532:             continue
-
      goto __pyx_L3_continue;
-
 533:
-
 534:         # print(f"{nodes_raster_buff[0,0]},{nodes_raster_buff[0,1]},{nodes_raster_buff[0,2]}")
-
 535:         # print(f"{nodes_raster_buff[1,0]},{nodes_raster_buff[1,1]},{nodes_raster_buff[1,2]}")
-
 536:         # print(f"{nodes_raster_buff[2,0]},{nodes_raster_buff[2,1]},{nodes_raster_buff[2,2]}")
-
 537:         # print(f"{ee} ELEM AREA : {elem_area}")
-
 538:         # print()
-
 539:
-
+540:         x_min: cython.double = vec_min_double(nodes_raster_buff[:,xx])
-
    __pyx_t_9.data = __pyx_v_nodes_raster_buff.data;
-    __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview;
-    __PYX_INC_MEMVIEW(&__pyx_t_9, 1);
-    __pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[0];
-__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[0];
-    __pyx_t_9.suboffsets[0] = -1;
-
-{
-    Py_ssize_t __pyx_tmp_idx = __pyx_v_xx;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1];
-        __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) {
-      PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-      __PYX_ERR(0, 540, __pyx_L1_error)
-    }
-    __pyx_v_x_min = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_min_double(__pyx_t_9);
-    __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1);
-    __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
-
+541:         x_max: cython.double = vec_max_double(nodes_raster_buff[:,xx])
-
    __pyx_t_9.data = __pyx_v_nodes_raster_buff.data;
-    __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview;
-    __PYX_INC_MEMVIEW(&__pyx_t_9, 1);
-    __pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[0];
-__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[0];
-    __pyx_t_9.suboffsets[0] = -1;
-
-{
-    Py_ssize_t __pyx_tmp_idx = __pyx_v_xx;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1];
-        __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) {
-      PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-      __PYX_ERR(0, 541, __pyx_L1_error)
-    }
-    __pyx_v_x_max = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_max_double(__pyx_t_9);
-    __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1);
-    __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
-
 542:
-
+543:         if ((x_min > num_pixels[xx]-1) or (x_max < 0)): # x crop
-
    __pyx_t_4 = __pyx_v_xx;
-    __pyx_t_13 = (__pyx_v_x_min > ((*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_4 * __pyx_v_num_pixels.strides[0]) ))) - 1));
-    if (!__pyx_t_13) {
-    } else {
-      __pyx_t_12 = __pyx_t_13;
-      goto __pyx_L9_bool_binop_done;
-    }
-    __pyx_t_13 = (__pyx_v_x_max < 0.0);
-    __pyx_t_12 = __pyx_t_13;
-    __pyx_L9_bool_binop_done:;
-    if (__pyx_t_12) {
-/* … */
-    }
-
+544:             continue
-
      goto __pyx_L3_continue;
-
 545:
-
+546:         y_min: cython.double = vec_min_double(nodes_raster_buff[:,yy])
-
    __pyx_t_9.data = __pyx_v_nodes_raster_buff.data;
-    __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview;
-    __PYX_INC_MEMVIEW(&__pyx_t_9, 1);
-    __pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[0];
-__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[0];
-    __pyx_t_9.suboffsets[0] = -1;
-
-{
-    Py_ssize_t __pyx_tmp_idx = __pyx_v_yy;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1];
-        __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) {
-      PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-      __PYX_ERR(0, 546, __pyx_L1_error)
-    }
-    __pyx_v_y_min = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_min_double(__pyx_t_9);
-    __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1);
-    __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
-
+547:         y_max: cython.double = vec_max_double(nodes_raster_buff[:,yy])
-
    __pyx_t_9.data = __pyx_v_nodes_raster_buff.data;
-    __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview;
-    __PYX_INC_MEMVIEW(&__pyx_t_9, 1);
-    __pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[0];
-__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[0];
-    __pyx_t_9.suboffsets[0] = -1;
-
-{
-    Py_ssize_t __pyx_tmp_idx = __pyx_v_yy;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1];
-        __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) {
-      PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-      __PYX_ERR(0, 547, __pyx_L1_error)
-    }
-    __pyx_v_y_max = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_max_double(__pyx_t_9);
-    __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1);
-    __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
-
 548:
-
+549:         if ((y_min > num_pixels[yy]-1) or (y_max < 0)): # y crop
-
    __pyx_t_4 = __pyx_v_yy;
-    __pyx_t_13 = (__pyx_v_y_min > ((*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_4 * __pyx_v_num_pixels.strides[0]) ))) - 1));
-    if (!__pyx_t_13) {
-    } else {
-      __pyx_t_12 = __pyx_t_13;
-      goto __pyx_L12_bool_binop_done;
-    }
-    __pyx_t_13 = (__pyx_v_y_max < 0.0);
-    __pyx_t_12 = __pyx_t_13;
-    __pyx_L12_bool_binop_done:;
-    if (__pyx_t_12) {
-/* … */
-    }
-
+550:             continue
-
      goto __pyx_L3_continue;
-
 551:
-
 552:         # print(f"Elem {ee}: x, min {x_min}")
-
 553:         # print(f"Elem {ee}: x, max {x_max}")
-
 554:         # print(f"Elem {ee}: y, min {y_min}")
-
 555:         # print(f"Elem {ee}: y, max {y_max}\n")
-
 556:
-
+557:         elems_in_image += 1
-
    __pyx_v_elems_in_image = (__pyx_v_elems_in_image + 1);
-
 558:
-
+559:         xi_min: cython.size_t = bound_index_min(x_min)
-
    __pyx_v_xi_min = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_min(__pyx_v_x_min);
-
+560:         xi_max: cython.size_t = bound_index_max(x_max,num_pixels[xx])
-
    __pyx_t_4 = __pyx_v_xx;
-    __pyx_v_xi_max = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_max(__pyx_v_x_max, (*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_4 * __pyx_v_num_pixels.strides[0]) ))));
-
+561:         yi_min: cython.size_t = bound_index_min(y_min)
-
    __pyx_v_yi_min = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_min(__pyx_v_y_min);
-
+562:         yi_max: cython.size_t = bound_index_max(y_max,num_pixels[yy])
-
    __pyx_t_4 = __pyx_v_yy;
-    __pyx_v_yi_max = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_bound_index_max(__pyx_v_y_max, (*((int *) ( /* dim=0 */ (__pyx_v_num_pixels.data + __pyx_t_4 * __pyx_v_num_pixels.strides[0]) ))));
-
 563:
-
 564:         # print(f"Elem {ee}: xi, min {xi_min}")
-
 565:         # print(f"Elem {ee}: xi, max {xi_max}")
-
 566:         # print(f"Elem {ee}: yi, min {yi_min}")
-
 567:         # print(f"Elem {ee}: yi, max {yi_max}\n")
-
 568:
-
+569:         for nn in range(nodes_per_elem):
-
    __pyx_t_4 = __pyx_v_nodes_per_elem;
-    __pyx_t_5 = __pyx_t_4;
-    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
-      __pyx_v_nn = __pyx_t_6;
-
+570:             nodes_raster_buff[nn,zz] = 1/nodes_raster_buff[nn,zz]
-
      __pyx_t_8 = __pyx_v_nn;
-      __pyx_t_7 = __pyx_v_zz;
-      __pyx_t_14 = __pyx_v_nn;
-      __pyx_t_15 = __pyx_v_zz;
-      *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_nodes_raster_buff.data + __pyx_t_14 * __pyx_v_nodes_raster_buff.strides[0]) ) + __pyx_t_15 * __pyx_v_nodes_raster_buff.strides[1]) )) = (1.0 / (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_nodes_raster_buff.data + __pyx_t_8 * __pyx_v_nodes_raster_buff.strides[0]) ) + __pyx_t_7 * __pyx_v_nodes_raster_buff.strides[1]) ))));
-    }
-
 571:
-
+572:         num_bound_x: cython.size_t = range_len_double(float(xi_min),
-
    __pyx_v_num_bound_x = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_range_len_double(((double)__pyx_v_xi_min), ((double)__pyx_v_xi_max), __pyx_v_coord_step);
-
 573:                                                       float(xi_max),
-
 574:                                                       coord_step)
-
+575:         num_bound_y: cython.size_t = range_len_double(float(yi_min),
-
    __pyx_v_num_bound_y = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_range_len_double(((double)__pyx_v_yi_min), ((double)__pyx_v_yi_max), __pyx_v_coord_step);
-
 576:                                                       float(yi_max),
-
 577:                                                       coord_step)
-
 578:
-
+579:         bound_coord_x: cython.double = float(xi_min) + coord_offset
-
    __pyx_v_bound_coord_x = (((double)__pyx_v_xi_min) + __pyx_v_coord_offset);
-
+580:         bound_coord_y: cython.double = float(yi_min) + coord_offset
-
    __pyx_v_bound_coord_y = (((double)__pyx_v_yi_min) + __pyx_v_coord_offset);
-
 581:
-
+582:         bound_ind_x: cython.size_t = sub_samp*xi_min
-
    __pyx_v_bound_ind_x = (__pyx_v_sub_samp * __pyx_v_xi_min);
-
+583:         bound_ind_y: cython.size_t = sub_samp*yi_min
-
    __pyx_v_bound_ind_y = (__pyx_v_sub_samp * __pyx_v_yi_min);
-
 584:
-
 585:         # print(f"Elem {ee}: bound_coord_x={bound_coord_x}")
-
 586:         # print(f"Elem {ee}: bound_coord_y={bound_coord_y}")
-
 587:         # print(f"Elem {ee}: bound_ind_x={bound_ind_x}")
-
 588:         # print(f"Elem {ee}: bound_ind_y={bound_ind_y}")
-
 589:         # print(f"Elem {ee}: coord_step={coord_step}")
-
 590:         # print(f"Elem {ee}: num_bound_x={num_bound_x}")
-
 591:         # print(f"Elem {ee}: num_bound_x={num_bound_y}")
-
 592:         # print()
-
 593:
-
 594:
-
+595:         for jj in range(num_bound_y):
-
    __pyx_t_4 = __pyx_v_num_bound_y;
-    __pyx_t_5 = __pyx_t_4;
-    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
-      __pyx_v_jj = __pyx_t_6;
-
 596:
-
+597:             bound_coord_x = float(xi_min) + coord_offset
-
      __pyx_v_bound_coord_x = (((double)__pyx_v_xi_min) + __pyx_v_coord_offset);
-
+598:             bound_ind_x: cython.size_t = sub_samp*xi_min
-
      __pyx_v_bound_ind_x = (__pyx_v_sub_samp * __pyx_v_xi_min);
-
 599:
-
+600:             for ii in range(num_bound_x):
-
      __pyx_t_7 = __pyx_v_num_bound_x;
-      __pyx_t_8 = __pyx_t_7;
-      for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_8; __pyx_t_15+=1) {
-        __pyx_v_ii = __pyx_t_15;
-
 601:
-
+602:                 px_coord_buff[xx] = bound_coord_x
-
        __pyx_t_14 = __pyx_v_xx;
-        *((double *) ( /* dim=0 */ (__pyx_v_px_coord_buff.data + __pyx_t_14 * __pyx_v_px_coord_buff.strides[0]) )) = __pyx_v_bound_coord_x;
-
+603:                 px_coord_buff[yy] = bound_coord_y
-
        __pyx_t_14 = __pyx_v_yy;
-        *((double *) ( /* dim=0 */ (__pyx_v_px_coord_buff.data + __pyx_t_14 * __pyx_v_px_coord_buff.strides[0]) )) = __pyx_v_bound_coord_y;
-
 604:
-
 605:                 # Check the edge functions for each edge one at a time, as soon
-
 606:                 # as one is outside we don't need to do anymore work
-
+607:                 weights_buff[0] = edge_function(nodes_raster_buff[1,:],
-
        __pyx_t_9.data = __pyx_v_nodes_raster_buff.data;
-        __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview;
-        __PYX_INC_MEMVIEW(&__pyx_t_9, 1);
-        {
-    Py_ssize_t __pyx_tmp_idx = 1;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_9.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) {
-          PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-          __PYX_ERR(0, 607, __pyx_L1_error)
-        }
-/* … */
-        __pyx_t_16 = 0;
-        *((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) )) = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__pyx_t_9, __pyx_t_10, __pyx_v_px_coord_buff);
-        __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1);
-        __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
-        __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1);
-        __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL;
-
+608:                                                 nodes_raster_buff[2,:],
-
        __pyx_t_10.data = __pyx_v_nodes_raster_buff.data;
-        __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview;
-        __PYX_INC_MEMVIEW(&__pyx_t_10, 1);
-        {
-    Py_ssize_t __pyx_tmp_idx = 2;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_10.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) {
-          PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-          __PYX_ERR(0, 608, __pyx_L1_error)
-        }
-
 609:                                                 px_coord_buff)
-
+610:                 if (weights_buff[0] < -tol):
-
        __pyx_t_16 = 0;
-        __pyx_t_12 = ((*((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) ))) < (-__pyx_v_tol));
-        if (__pyx_t_12) {
-/* … */
-        }
-
+611:                     bound_coord_x += coord_step
-
          __pyx_v_bound_coord_x = (__pyx_v_bound_coord_x + __pyx_v_coord_step);
-
+612:                     bound_ind_x += 1
-
          __pyx_v_bound_ind_x = (__pyx_v_bound_ind_x + 1);
-
+613:                     continue
-
          goto __pyx_L18_continue;
-
 614:
-
+615:                 weights_buff[1] = edge_function(nodes_raster_buff[2,:],
-
        __pyx_t_10.data = __pyx_v_nodes_raster_buff.data;
-        __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview;
-        __PYX_INC_MEMVIEW(&__pyx_t_10, 1);
-        {
-    Py_ssize_t __pyx_tmp_idx = 2;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_10.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) {
-          PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-          __PYX_ERR(0, 615, __pyx_L1_error)
-        }
-/* … */
-        __pyx_t_16 = 1;
-        *((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) )) = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__pyx_t_10, __pyx_t_9, __pyx_v_px_coord_buff);
-        __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1);
-        __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL;
-        __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1);
-        __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
-
+616:                                                 nodes_raster_buff[0,:],
-
        __pyx_t_9.data = __pyx_v_nodes_raster_buff.data;
-        __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview;
-        __PYX_INC_MEMVIEW(&__pyx_t_9, 1);
-        {
-    Py_ssize_t __pyx_tmp_idx = 0;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_9.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) {
-          PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-          __PYX_ERR(0, 616, __pyx_L1_error)
-        }
-
 617:                                                 px_coord_buff)
-
+618:                 if (weights_buff[1] < -tol):
-
        __pyx_t_16 = 1;
-        __pyx_t_12 = ((*((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) ))) < (-__pyx_v_tol));
-        if (__pyx_t_12) {
-/* … */
-        }
-
+619:                     bound_coord_x += coord_step
-
          __pyx_v_bound_coord_x = (__pyx_v_bound_coord_x + __pyx_v_coord_step);
-
+620:                     bound_ind_x += 1
-
          __pyx_v_bound_ind_x = (__pyx_v_bound_ind_x + 1);
-
+621:                     continue
-
          goto __pyx_L18_continue;
-
 622:
-
 623:
-
+624:                 weights_buff[2] = edge_function(nodes_raster_buff[0,:],
-
        __pyx_t_9.data = __pyx_v_nodes_raster_buff.data;
-        __pyx_t_9.memview = __pyx_v_nodes_raster_buff.memview;
-        __PYX_INC_MEMVIEW(&__pyx_t_9, 1);
-        {
-    Py_ssize_t __pyx_tmp_idx = 0;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_9.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_9.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_9.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_9.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_9.memview) == Py_None)) {
-          PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-          __PYX_ERR(0, 624, __pyx_L1_error)
-        }
-/* … */
-        __pyx_t_16 = 2;
-        *((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) )) = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_edge_function(__pyx_t_9, __pyx_t_10, __pyx_v_px_coord_buff);
-        __PYX_XCLEAR_MEMVIEW(&__pyx_t_9, 1);
-        __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL;
-        __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1);
-        __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL;
-
+625:                                                 nodes_raster_buff[1,:],
-
        __pyx_t_10.data = __pyx_v_nodes_raster_buff.data;
-        __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview;
-        __PYX_INC_MEMVIEW(&__pyx_t_10, 1);
-        {
-    Py_ssize_t __pyx_tmp_idx = 1;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[0];
-        __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-__pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[1];
-__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[1];
-    __pyx_t_10.suboffsets[0] = -1;
-
-if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) {
-          PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-          __PYX_ERR(0, 625, __pyx_L1_error)
-        }
-
 626:                                                 px_coord_buff)
-
+627:                 if (weights_buff[2] < -tol):
-
        __pyx_t_16 = 2;
-        __pyx_t_12 = ((*((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_16 * __pyx_v_weights_buff.strides[0]) ))) < (-__pyx_v_tol));
-        if (__pyx_t_12) {
-/* … */
-        }
-
+628:                     bound_coord_x += coord_step
-
          __pyx_v_bound_coord_x = (__pyx_v_bound_coord_x + __pyx_v_coord_step);
-
+629:                     bound_ind_x += 1
-
          __pyx_v_bound_ind_x = (__pyx_v_bound_ind_x + 1);
-
+630:                     continue
-
          goto __pyx_L18_continue;
-
 631:
-
 632:                 # if (ee%6) == 0:
-
 633:                 #     print(f"Elem: {ee}")
-
 634:                 #     print(f"x bound ind={bound_ind_x}, coord={bound_coord_x}")
-
 635:                 #     print(f"y bound ind={bound_ind_y}, coord={bound_coord_y}")
-
 636:                 #     print(f"weights=[{weights_buff[0]},{weights_buff[1]},{weights_buff[2]}]")
-
 637:                 #     print()
-
 638:
-
 639:
-
+640:                 for ww in range(nodes_per_elem):
-
        __pyx_t_14 = __pyx_v_nodes_per_elem;
-        __pyx_t_17 = __pyx_t_14;
-        for (__pyx_t_18 = 0; __pyx_t_18 < __pyx_t_17; __pyx_t_18+=1) {
-          __pyx_v_ww = __pyx_t_18;
-
+641:                     weights_buff[ww] = weights_buff[ww] / elem_area
-
          __pyx_t_19 = __pyx_v_ww;
-          __pyx_t_20 = __pyx_v_ww;
-          *((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_20 * __pyx_v_weights_buff.strides[0]) )) = ((*((double *) ( /* dim=0 */ (__pyx_v_weights_buff.data + __pyx_t_19 * __pyx_v_weights_buff.strides[0]) ))) / __pyx_v_elem_area);
-        }
-
 642:
-
+643:                 weight_dot_nodes: cython.double = vec_dot_double(
-
        __pyx_v_weight_dot_nodes = __pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_dot_double(__pyx_v_weights_buff, __pyx_t_10);
-        __PYX_XCLEAR_MEMVIEW(&__pyx_t_10, 1);
-        __pyx_t_10.memview = NULL; __pyx_t_10.data = NULL;
-
 644:                                                     weights_buff,
-
+645:                                                     nodes_raster_buff[:,zz])
-
        __pyx_t_10.data = __pyx_v_nodes_raster_buff.data;
-        __pyx_t_10.memview = __pyx_v_nodes_raster_buff.memview;
-        __PYX_INC_MEMVIEW(&__pyx_t_10, 1);
-        __pyx_t_10.shape[0] = __pyx_v_nodes_raster_buff.shape[0];
-__pyx_t_10.strides[0] = __pyx_v_nodes_raster_buff.strides[0];
-    __pyx_t_10.suboffsets[0] = -1;
-
-{
-    Py_ssize_t __pyx_tmp_idx = __pyx_v_zz;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_nodes_raster_buff.strides[1];
-        __pyx_t_10.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-if (unlikely(((PyObject *) __pyx_t_10.memview) == Py_None)) {
-          PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-          __PYX_ERR(0, 645, __pyx_L1_error)
-        }
-
 646:
-
 647:                 # Check the depth buffer, if the element is behind move on
-
+648:                 px_coord_z: cython.double = 1/weight_dot_nodes
-
        __pyx_v_px_coord_z = (1.0 / __pyx_v_weight_dot_nodes);
-
+649:                 if px_coord_z >= depth_buff_subpx[bound_ind_y,bound_ind_x]:
-
        __pyx_t_14 = __pyx_v_bound_ind_y;
-        __pyx_t_17 = __pyx_v_bound_ind_x;
-        __pyx_t_12 = (__pyx_v_px_coord_z >= (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_depth_buff_subpx.data + __pyx_t_14 * __pyx_v_depth_buff_subpx.strides[0]) ) + __pyx_t_17 * __pyx_v_depth_buff_subpx.strides[1]) ))));
-        if (__pyx_t_12) {
-/* … */
-        }
-
+650:                     bound_coord_x += coord_step
-
          __pyx_v_bound_coord_x = (__pyx_v_bound_coord_x + __pyx_v_coord_step);
-
+651:                     bound_ind_x += 1
-
          __pyx_v_bound_ind_x = (__pyx_v_bound_ind_x + 1);
-
+652:                     continue
-
          goto __pyx_L18_continue;
-
 653:
-
 654:                 # We only need one depth buffer for all fields
-
+655:                 depth_buff_subpx[bound_ind_y,bound_ind_x] = px_coord_z
-
        __pyx_t_17 = __pyx_v_bound_ind_y;
-        __pyx_t_14 = __pyx_v_bound_ind_x;
-        *((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_depth_buff_subpx.data + __pyx_t_17 * __pyx_v_depth_buff_subpx.strides[0]) ) + __pyx_t_14 * __pyx_v_depth_buff_subpx.strides[1]) )) = __pyx_v_px_coord_z;
-
 656:
-
+657:                 for ff in range(fields_num):
-
        __pyx_t_14 = __pyx_v_fields_num;
-        __pyx_t_17 = __pyx_t_14;
-        for (__pyx_t_18 = 0; __pyx_t_18 < __pyx_t_17; __pyx_t_18+=1) {
-          __pyx_v_ff = __pyx_t_18;
-
+658:                     for nn in range(nodes_per_elem):
-
          __pyx_t_19 = __pyx_v_nodes_per_elem;
-          __pyx_t_20 = __pyx_t_19;
-          for (__pyx_t_21 = 0; __pyx_t_21 < __pyx_t_20; __pyx_t_21+=1) {
-            __pyx_v_nn = __pyx_t_21;
-
 659:
-
+660:                         field_raster_buff[nn] = (fields_to_render[connect[ee,nn],ff]
-
            __pyx_t_22 = __pyx_v_ee;
-            __pyx_t_23 = __pyx_v_nn;
-            __pyx_t_24 = (*((size_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_connect.data + __pyx_t_22 * __pyx_v_connect.strides[0]) ) + __pyx_t_23 * __pyx_v_connect.strides[1]) )));
-            __pyx_t_25 = __pyx_v_ff;
-/* … */
-            __pyx_t_28 = __pyx_v_nn;
-            *((double *) ( /* dim=0 */ (__pyx_v_field_raster_buff.data + __pyx_t_28 * __pyx_v_field_raster_buff.strides[0]) )) = ((*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_fields_to_render.data + __pyx_t_24 * __pyx_v_fields_to_render.strides[0]) ) + __pyx_t_25 * __pyx_v_fields_to_render.strides[1]) ))) * (*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_nodes_raster_buff.data + __pyx_t_26 * __pyx_v_nodes_raster_buff.strides[0]) ) + __pyx_t_27 * __pyx_v_nodes_raster_buff.strides[1]) ))));
-          }
-
+661:                                                 *nodes_raster_buff[nn,zz])
-
            __pyx_t_26 = __pyx_v_nn;
-            __pyx_t_27 = __pyx_v_zz;
-
 662:
-
 663:                     px_field: cython.double = (vec_dot_double(field_raster_buff,
-
 664:                                                               weights_buff)
-
+665:                                                               *px_coord_z)
-
          __pyx_v_px_field = (__pyx_f_6pyvale_9sensorsim_6cython_10rastercyth_vec_dot_double(__pyx_v_field_raster_buff, __pyx_v_weights_buff) * __pyx_v_px_coord_z);
-
 666:
-
+667:                     image_buff_subpx[bound_ind_y,bound_ind_x,ff] = px_field
-
          __pyx_t_19 = __pyx_v_bound_ind_y;
-          __pyx_t_20 = __pyx_v_bound_ind_x;
-          __pyx_t_21 = __pyx_v_ff;
-          *((double *) ( /* dim=2 */ (( /* dim=1 */ (( /* dim=0 */ (__pyx_v_image_buff_subpx.data + __pyx_t_19 * __pyx_v_image_buff_subpx.strides[0]) ) + __pyx_t_20 * __pyx_v_image_buff_subpx.strides[1]) ) + __pyx_t_21 * __pyx_v_image_buff_subpx.strides[2]) )) = __pyx_v_px_field;
-        }
-
 668:
-
 669:                 # end for(x) - increment the x coords
-
+670:                 bound_coord_x += coord_step
-
        __pyx_v_bound_coord_x = (__pyx_v_bound_coord_x + __pyx_v_coord_step);
-
+671:                 bound_ind_x += 1
-
        __pyx_v_bound_ind_x = (__pyx_v_bound_ind_x + 1);
-        __pyx_L18_continue:;
-      }
-
 672:
-
 673:             # end for(y) - increment the y coords
-
+674:             bound_coord_y += coord_step
-
      __pyx_v_bound_coord_y = (__pyx_v_bound_coord_y + __pyx_v_coord_step);
-
+675:             bound_ind_y += 1
-
      __pyx_v_bound_ind_y = (__pyx_v_bound_ind_y + 1);
-    }
-    __pyx_L3_continue:;
-  }
-
 676:
-
+677:     _average_image(depth_buff_subpx,sub_samp,depth_buff_avg)
-
  (void)(__pyx_f_6pyvale_9sensorsim_6cython_10rastercyth__average_image(__pyx_v_depth_buff_subpx, __pyx_v_sub_samp, __pyx_v_depth_buff_avg));
-
 678:
-
+679:     for ff in range(fields_num):
-
  __pyx_t_1 = __pyx_v_fields_num;
-  __pyx_t_2 = __pyx_t_1;
-  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
-    __pyx_v_ff = __pyx_t_3;
-
+680:         _average_image(image_buff_subpx[:,:,ff],
-
    __pyx_t_29.data = __pyx_v_image_buff_subpx.data;
-    __pyx_t_29.memview = __pyx_v_image_buff_subpx.memview;
-    __PYX_INC_MEMVIEW(&__pyx_t_29, 1);
-    __pyx_t_29.shape[0] = __pyx_v_image_buff_subpx.shape[0];
-__pyx_t_29.strides[0] = __pyx_v_image_buff_subpx.strides[0];
-    __pyx_t_29.suboffsets[0] = -1;
-
-__pyx_t_29.shape[1] = __pyx_v_image_buff_subpx.shape[1];
-__pyx_t_29.strides[1] = __pyx_v_image_buff_subpx.strides[1];
-    __pyx_t_29.suboffsets[1] = -1;
-
-{
-    Py_ssize_t __pyx_tmp_idx = __pyx_v_ff;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_image_buff_subpx.strides[2];
-        __pyx_t_29.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-if (unlikely(((PyObject *) __pyx_t_29.memview) == Py_None)) {
-      PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-      __PYX_ERR(0, 680, __pyx_L1_error)
-    }
-/* … */
-    (void)(__pyx_f_6pyvale_9sensorsim_6cython_10rastercyth__average_image(__pyx_t_29, __pyx_v_sub_samp, __pyx_t_30));
-    __PYX_XCLEAR_MEMVIEW(&__pyx_t_29, 1);
-    __pyx_t_29.memview = NULL; __pyx_t_29.data = NULL;
-    __PYX_XCLEAR_MEMVIEW(&__pyx_t_30, 1);
-    __pyx_t_30.memview = NULL; __pyx_t_30.data = NULL;
-  }
-
 681:                         sub_samp,
-
+682:                         image_buff_avg[:,:,ff])
-
    __pyx_t_30.data = __pyx_v_image_buff_avg.data;
-    __pyx_t_30.memview = __pyx_v_image_buff_avg.memview;
-    __PYX_INC_MEMVIEW(&__pyx_t_30, 1);
-    __pyx_t_30.shape[0] = __pyx_v_image_buff_avg.shape[0];
-__pyx_t_30.strides[0] = __pyx_v_image_buff_avg.strides[0];
-    __pyx_t_30.suboffsets[0] = -1;
-
-__pyx_t_30.shape[1] = __pyx_v_image_buff_avg.shape[1];
-__pyx_t_30.strides[1] = __pyx_v_image_buff_avg.strides[1];
-    __pyx_t_30.suboffsets[1] = -1;
-
-{
-    Py_ssize_t __pyx_tmp_idx = __pyx_v_ff;
-    Py_ssize_t __pyx_tmp_stride = __pyx_v_image_buff_avg.strides[2];
-        __pyx_t_30.data += __pyx_tmp_idx * __pyx_tmp_stride;
-}
-
-if (unlikely(((PyObject *) __pyx_t_30.memview) == Py_None)) {
-      PyErr_SetString(PyExc_TypeError, "cannot pass None into a C function argument that is declared 'not None'");
-      __PYX_ERR(0, 682, __pyx_L1_error)
-    }
-
 683:
-
+684:     return elems_in_image
-
  __pyx_r = __pyx_v_elems_in_image;
-  goto __pyx_L0;
-
diff --git a/src/pyvale/sensorsim/cython/rastercyth.py b/src/pyvale/sensorsim/cython/rastercyth.py deleted file mode 100644 index 47235f93f..000000000 --- a/src/pyvale/sensorsim/cython/rastercyth.py +++ /dev/null @@ -1,684 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -NOTE: this module is a feature under developement. -""" - -import numpy as np -import cython -#from cython.parallel import prange, parallel, threadid -from cython.cimports.libc.math import floor, ceil -from pyvale.sensorsim.cameradata import CameraData - -# NOTE: This module is a feature under developement. - -@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.inline -@cython.exceptval(check=False) -def range_len_double(start: cython.double, - stop: cython.double, - step: cython.double) -> cython.size_t: - return int(ceil((stop - start) / step)) - - -@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.inline -@cython.exceptval(check=False) -def vec_range_int(start: cython.int, - stop: cython.int, - step: cython.int, - vec_buffer: cython.long[:]) -> cython.long[:]: - - num_vals: cython.size_t = int(ceil((stop - start) / step)) - - vec_buffer[0] = start - ii: cython.size_t - for ii in range(1,num_vals): - vec_buffer[ii] = vec_buffer[ii-1] + step - - return vec_buffer[0:num_vals] - - -@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.inline -@cython.exceptval(check=False) -def vec_max_double(vals: cython.double[:]) -> cython.double: - - num_vals: cython.size_t = vals.shape[0] - - ii: cython.size_t = 0 - max_val: cython.double = vals[ii] - - for ii in range(1,num_vals): - if vals[ii] > max_val: - max_val = vals[ii] - - return max_val - - -@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.inline -@cython.exceptval(check=False) -def vec_min_double(vals: cython.double[:]) -> cython.double: - - num_vals: cython.size_t = vals.shape[0] - - ii: cython.size_t = 0 - min_val: cython.double = vals[ii] - - for ii in range(1,num_vals): - if vals[ii] < min_val: - min_val = vals[ii] - - return min_val - - -@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.inline -@cython.exceptval(check=False) -def vec_dot_double(vec0: cython.double[:], vec1: cython.double[:] - ) -> cython.double: - vec0_len: cython.size_t = vec0.shape[0] - vec1_len: cython.size_t = vec1.shape[0] - if vec0_len != vec1_len: - return 0.0 - - ii: cython.size_t = 0 - dot: cython.double = 0.0 - for ii in range(vec0_len): - dot += vec0[ii]*vec1[ii] - - return dot - - -@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.inline -@cython.exceptval(check=False) -def bound_index_min(min_val: cython.double) -> cython.int: - min_ind: cython.int = int(floor(min_val)) - if min_ind < 0: - min_ind = 0 - return min_ind - - -@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.inline -@cython.exceptval(check=False) -def bound_index_max(max_val: cython.double, - num_pixels: cython.int) -> cython.int: - max_ind: cython.int = int(ceil(max_val)) - if max_ind > (num_pixels-1): - max_ind = (num_pixels-1) - return max_ind - - -@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.inline -@cython.exceptval(check=False) -def mult_mat44_by_vec3(mat44: cython.double[:,:], vec3_in: cython.double[:], - vec3_out: cython.double[:]) -> cython.double[:]: - - vec3_out[0] = (mat44[0,0]*vec3_in[0] - + mat44[0,1]*vec3_in[1] - + mat44[0,2]*vec3_in[2] - + mat44[0,3]) - vec3_out[1] = (mat44[1,0]*vec3_in[0] - + mat44[1,1]*vec3_in[1] - + mat44[1,2]*vec3_in[2] - + mat44[1,3]) - vec3_out[2] = (mat44[2,0]*vec3_in[0] - + mat44[2,1]*vec3_in[1] - + mat44[2,2]*vec3_in[2] - + mat44[2,3]) - vec3_out[3] = (mat44[3,0]*vec3_in[0] - + mat44[3,1]*vec3_in[1] - + mat44[3,2]*vec3_in[2] - + mat44[3,3]) - - return vec3_out - - -@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.exceptval(check=False) -def world_to_raster_coords(coords_world: cython.double[:], - world_to_cam_mat: cython.double[:,:], - image_dist: cython.double, - image_dims: cython.double[:], - num_pixels: cython.int[:], - coords_raster: cython.double[:] - ) -> cython.double[:]: - xx: cython.size_t = 0 - yy: cython.size_t = 1 - zz: cython.size_t = 2 - ww: cython.size_t = 3 - - coords_raster = mult_mat44_by_vec3(world_to_cam_mat, - coords_world, - coords_raster) - - coords_raster[xx] = coords_raster[xx] / coords_raster[ww] - coords_raster[yy] = coords_raster[yy] / coords_raster[ww] - coords_raster[zz] = coords_raster[zz] / coords_raster[ww] - - coords_raster[xx] = (image_dist * coords_raster[xx] - / -coords_raster[zz]) - coords_raster[yy] = (image_dist * coords_raster[yy] - / -coords_raster[zz]) - - coords_raster[xx] = 2*coords_raster[xx] / image_dims[xx] - coords_raster[yy] = 2*coords_raster[yy] / image_dims[yy] - - coords_raster[xx] = (coords_raster[xx] + 1)/2 * num_pixels[xx] - coords_raster[yy] = (1-coords_raster[yy])/2 * num_pixels[yy] - coords_raster[zz] = -coords_raster[zz] - - return coords_raster - -@cython.cfunc -@cython.nogil -@cython.boundscheck(False) -@cython.wraparound(False) -@cython.inline -@cython.exceptval(check=False) -def edge_function(vert_0: cython.double[:], - vert_1: cython.double[:], - vert_2: cython.double[:]) -> cython.double: - edge_fun: cython.double = ( - (vert_2[0] - vert_0[0]) * (vert_1[1] - vert_0[1]) - - (vert_2[1] - vert_0[1]) * (vert_1[0] - vert_0[0])) - return edge_fun - - -@cython.cfunc -@cython.nogil -@cython.boundscheck(False) -@cython.wraparound(False) -@cython.inline -@cython.exceptval(check=False) -def edge_function_pt(vert_0: cython.double[:], - vert_1: cython.double[:], - vert_2_x: cython.double, - vert_2_y: cython.double) -> cython.double: - edge_fun: cython.double = ( - (vert_2_x - vert_0[0]) * (vert_1[1] - vert_0[1]) - - (vert_2_y - vert_0[1]) * (vert_1[0] - vert_0[0])) - return edge_fun - - -@cython.ccall -@cython.boundscheck(False) -@cython.wraparound(False) -@cython.cdivision(True) -def average_image(image_subpx: cython.double[:,:], - sub_samp: cython.int, - ) -> cython.double[:,:]: - - if sub_samp <= 1: - return np.asarray(image_subpx[:,:]) - - px_num_y: cython.size_t = int(ceil(image_subpx.shape[0]/sub_samp)) - px_num_x: cython.size_t = int(ceil(image_subpx.shape[1]/sub_samp)) - - image_buff_avg_np = np.full((px_num_y,px_num_x),0.0,dtype=np.float64) - image_buff_avg: cython.double[:,:] = image_buff_avg_np - - num_subpx_y: cython.size_t = image_subpx.shape[0] - num_subpx_x: cython.size_t = image_subpx.shape[1] - subpx_per_px: cython.double = float(sub_samp*sub_samp) - ss_size: cython.size_t = sub_samp - - num_px_y: cython.size_t = int(num_subpx_y/sub_samp) - num_px_x: cython.size_t = int(num_subpx_x/sub_samp) - - px_sum: cython.double = 0.0 - - ix: cython.size_t = 0 - iy: cython.size_t = 0 - sx: cython.size_t = 0 - sy: cython.size_t = 0 - - for iy in range(num_px_y): - for ix in range(num_px_x): - px_sum = 0.0 - for sy in range(ss_size): - for sx in range(ss_size): - px_sum += image_subpx[ss_size*iy+sy,ss_size*ix+sx] - - image_buff_avg[iy,ix] = px_sum / subpx_per_px - - return image_buff_avg - - -@cython.nogil -@cython.cfunc -@cython.boundscheck(False) -@cython.wraparound(False) -@cython.cdivision(True) -@cython.exceptval(check=False) -def _average_image(image_buff_subpx_in: cython.double[:,:], - sub_samp: cython.int, - image_buff_avg_out: cython.double[:,:] - ) -> cython.int: - - num_subpx_y: cython.size_t = image_buff_subpx_in.shape[0] - num_subpx_x: cython.size_t = image_buff_subpx_in.shape[1] - subpx_per_px: cython.double = float(sub_samp*sub_samp) - ss_size: cython.size_t = sub_samp - - num_px_y: cython.size_t = int(num_subpx_y/sub_samp) - num_px_x: cython.size_t = int(num_subpx_x/sub_samp) - - px_sum: cython.double = 0.0 - - ix: cython.size_t = 0 - iy: cython.size_t = 0 - sx: cython.size_t = 0 - sy: cython.size_t = 0 - - for iy in range(num_px_y): - for ix in range(num_px_x): - px_sum = 0.0 - for sy in range(ss_size): - for sx in range(ss_size): - px_sum += image_buff_subpx_in[ss_size*iy+sy,ss_size*ix+sx] - - image_buff_avg_out[iy,ix] = px_sum / subpx_per_px - - return 0 - - -#/////////////////////////////////////////////////////////////////////////////// -@cython.ccall # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -def raster_static_frame(coords: cython.double[:,:], - connect: cython.size_t[:,:], - fields_to_render: cython.double[:,:], - cam_data: CameraData, - ) -> tuple[np.ndarray,np.ndarray,int]: - - - world_to_cam_mat: cython.double[:,:] = cam_data.world_to_cam_mat - pixels_num: cython.int[:] = cam_data.pixels_num - image_dims: cython.double[:] = cam_data.image_dims - image_dist: cython.double = cam_data.image_dist - sub_samp: cython.int = cam_data.sub_samp - - nodes_per_elem: cython.size_t = connect.shape[1] - fields_num: cython.size_t = fields_to_render.shape[1] - sub_pix_x: cython.int = pixels_num[0]*sub_samp - sub_pix_y: cython.int = pixels_num[1]*sub_samp - - #--------------------------------------------------------------------------- - # Final image buffer memory allocation - image_buff_avg_np = np.full((pixels_num[1],pixels_num[0],fields_num),0.0,dtype=np.float64) - image_buff_avg: cython.double[:,:,:] = image_buff_avg_np - - depth_buff_avg_np = np.full((pixels_num[1],pixels_num[0]),0.0,dtype=np.float64) - depth_buff_avg: cython.double[:,:] = depth_buff_avg_np - - #--------------------------------------------------------------------------- - # Per-thread scratch memory allocations - depth_buffer_np = np.full((sub_pix_y,sub_pix_x),1.0e6,dtype=np.float64) - depth_buff_subpx: cython.double[:,:] = depth_buffer_np - - image_buffer_np = np.full((sub_pix_y,sub_pix_x,fields_num),0.0,dtype=np.float64) - image_buff_subpx: cython.double[:,:,:] = image_buffer_np - - # shape=(nodes_per_elem, coord[X,Y,Z,W]) - nodes_raster_np = np.empty((nodes_per_elem,4),dtype=np.float64) - nodes_raster_buff: cython.double[:,:] = nodes_raster_np - - field_raster_np = np.empty((nodes_per_elem,),dtype=np.float64) - field_raster_buff: cython.double[:] = field_raster_np - - weights_np = np.zeros((nodes_per_elem,),np.float64) - weights_buff: cython.double[:] = weights_np - - # Only used for edge function in raster coords - need x,y - px_coord_np = np.zeros((2,),np.float64) - px_coord_buff: cython.double[:] = px_coord_np - - - #--------------------------------------------------------------------------- - elems_in_image: cython.size_t = _raster_frame(coords[:,:], - connect[:,:], - fields_to_render[:,:], - world_to_cam_mat[:,:], - pixels_num[:], - image_dims[:], - image_dist, - sub_samp, - image_buff_avg[:,:,:], - depth_buff_avg[:,:], - image_buff_subpx[:,:,:], - depth_buff_subpx[:,:], - nodes_raster_buff[:,:], - field_raster_buff[:], - px_coord_buff[:], - weights_buff[:]) - - return (image_buff_avg_np,depth_buff_avg_np,elems_in_image) - -#/////////////////////////////////////////////////////////////////////////////// -@cython.ccall # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -def raster_deform_frame(coords: cython.double[:,:], - connect: cython.size_t[:,:], - fields_to_render: cython.double[:,:], - cam_data: CameraData, - field_disp: cython.double[:,:], - ) -> tuple[np.ndarray,np.ndarray,int]: - pass - -#/////////////////////////////////////////////////////////////////////////////// -#@cython.nogil -@cython.cfunc # python+C or cython.cfunc for C only -@cython.boundscheck(False) # Turn off array bounds checking -@cython.wraparound(False) # Turn off negative indexing -@cython.cdivision(True) # Turn off divide by zero check -@cython.exceptval(check=False) # Turn off exceptions -def _raster_frame(coords: cython.double[:,:], - connect: cython.size_t[:,:], - fields_to_render: cython.double[:,:], - world_to_cam_mat: cython.double[:,:], - num_pixels: cython.int[:], - image_dims: cython.double[:], - image_dist: cython.double, - sub_samp: cython.int, - # From here these are memory buffers that will be written into - image_buff_avg: cython.double[:,:,:], - depth_buff_avg: cython.double[:,:], - image_buff_subpx: cython.double[:,:,:], - depth_buff_subpx: cython.double[:,:], - nodes_raster_buff: cython.double[:,:], - field_raster_buff: cython.double[:], - px_coord_buff: cython.double[:], - weights_buff: cython.double[:], - ) -> cython.size_t: - """Rasters a single frame and all associated fields into the image and depth - buffer provided as inputs to the function. This is a pure cython function - with the GIL released for parallelisation. All fields (textures) are - rendered in a sub-loop so that the depth buffer and inside/outside test is - only performed once for all fields to be rendered. - - Parameters - ---------- - coords : cython.double[:,:] - Input. shape=(num_nodes,coords[x,y,z,w]) - connect : cython.size_t[:,:] - Input. shape=(num_elems,nodes_per_elem) - fields_to_render : cython.double[:,:] - Input. shape=(num_nodes,num_fields) - world_to_cam_mat : cython.double[:,:] - Input. Homogeneous coordinate transformation matrix from world to camera - coordinates. shape=(4,4). - num_pixels : cython.int[:] - Input. shape=(2 [num_px_x,num_px_y],) - image_dims : cython.double[:] - Input. shape=(2 [fov_size_x,fov_size_y],) - image_dist : cython.double - Input. - sub_samp : cython.int - Number of subsamples per pixel for anti-aliasing. - image_buff_avg : cython.double[:,:,:] - Output buffer. shape=(num_px_y,num_px_x,num_fields) - depth_buff_avg : cython.double[:,:] - Output buffer. shape=(num_px_y,num_px_x) - image_buff_subpx : cython.double[:,:,:] - Processing buffer (output). shape=(num_subpx_y,num_subpx_x,num_fields) - depth_buff_subpx : cython.double[:,:] - Processing buffer (output). shape=(num_subpx_y,num_subpx_x) - nodes_raster_buff : cython.double[:,:] - Processing buffer. shape=(nodes_per_elem, 4 coord[x,y,z,w]) - field_raster_buff : cython.double[:] - Processing buffer. shape=(nodes_per_elem,) - px_coord_buff : cython.double[:] - Processing buffer. shape=(2,) - weights_buff : cython.double[:] - Processing buffer. shape=(nodes_per_elem,) - - Returns - ------- - cython.size_t - Number of rendered elements after backface culling and cropping. - """ - - xx: cython.size_t = 0 - yy: cython.size_t = 1 - zz: cython.size_t = 2 - - elem_count: cython.size_t = connect.shape[0] - nodes_per_elem: cython.size_t = connect.shape[1] - fields_num: cython.size_t = fields_to_render.shape[1] - - # tolerance for floating point zero dot product - tol: cython.double = 1e-12 - - #elem_count: cython.size_t = 1 - elems_in_image: cython.size_t = 0 - - # Lifted constants - coord_step: cython.double = 1.0/float(sub_samp) - coord_offset: cython.double = 1.0/(2.0*float(sub_samp)) - - ee: cython.size_t = 0 - nn: cython.size_t = 0 - ii: cython.size_t = 0 - jj: cython.size_t = 0 - ww: cython.size_t = 0 - ff: cython.size_t = 0 - - for ee in range(elem_count): - - for nn in range(nodes_per_elem): - # shape=(nodes_per_elem, coord[X,Y,Z,W]) - nodes_raster_buff[nn,:] = world_to_raster_coords(coords[connect[ee,nn],:], - world_to_cam_mat, - image_dist, - image_dims, - num_pixels, - nodes_raster_buff[nn,:]) - - - elem_area: cython.double = edge_function(nodes_raster_buff[0,:], - nodes_raster_buff[1,:], - nodes_raster_buff[2,:]) - - if elem_area < -tol: # Backface culling - continue - - # print(f"{nodes_raster_buff[0,0]},{nodes_raster_buff[0,1]},{nodes_raster_buff[0,2]}") - # print(f"{nodes_raster_buff[1,0]},{nodes_raster_buff[1,1]},{nodes_raster_buff[1,2]}") - # print(f"{nodes_raster_buff[2,0]},{nodes_raster_buff[2,1]},{nodes_raster_buff[2,2]}") - # print(f"{ee} ELEM AREA : {elem_area}") - # print() - - x_min: cython.double = vec_min_double(nodes_raster_buff[:,xx]) - x_max: cython.double = vec_max_double(nodes_raster_buff[:,xx]) - - if ((x_min > num_pixels[xx]-1) or (x_max < 0)): # x crop - continue - - y_min: cython.double = vec_min_double(nodes_raster_buff[:,yy]) - y_max: cython.double = vec_max_double(nodes_raster_buff[:,yy]) - - if ((y_min > num_pixels[yy]-1) or (y_max < 0)): # y crop - continue - - # print(f"Elem {ee}: x, min {x_min}") - # print(f"Elem {ee}: x, max {x_max}") - # print(f"Elem {ee}: y, min {y_min}") - # print(f"Elem {ee}: y, max {y_max}\n") - - elems_in_image += 1 - - xi_min: cython.size_t = bound_index_min(x_min) - xi_max: cython.size_t = bound_index_max(x_max,num_pixels[xx]) - yi_min: cython.size_t = bound_index_min(y_min) - yi_max: cython.size_t = bound_index_max(y_max,num_pixels[yy]) - - # print(f"Elem {ee}: xi, min {xi_min}") - # print(f"Elem {ee}: xi, max {xi_max}") - # print(f"Elem {ee}: yi, min {yi_min}") - # print(f"Elem {ee}: yi, max {yi_max}\n") - - for nn in range(nodes_per_elem): - nodes_raster_buff[nn,zz] = 1/nodes_raster_buff[nn,zz] - - num_bound_x: cython.size_t = range_len_double(float(xi_min), - float(xi_max), - coord_step) - num_bound_y: cython.size_t = range_len_double(float(yi_min), - float(yi_max), - coord_step) - - bound_coord_x: cython.double = float(xi_min) + coord_offset - bound_coord_y: cython.double = float(yi_min) + coord_offset - - bound_ind_x: cython.size_t = sub_samp*xi_min - bound_ind_y: cython.size_t = sub_samp*yi_min - - # print(f"Elem {ee}: bound_coord_x={bound_coord_x}") - # print(f"Elem {ee}: bound_coord_y={bound_coord_y}") - # print(f"Elem {ee}: bound_ind_x={bound_ind_x}") - # print(f"Elem {ee}: bound_ind_y={bound_ind_y}") - # print(f"Elem {ee}: coord_step={coord_step}") - # print(f"Elem {ee}: num_bound_x={num_bound_x}") - # print(f"Elem {ee}: num_bound_x={num_bound_y}") - # print() - - - for jj in range(num_bound_y): - - bound_coord_x = float(xi_min) + coord_offset - bound_ind_x: cython.size_t = sub_samp*xi_min - - for ii in range(num_bound_x): - - px_coord_buff[xx] = bound_coord_x - px_coord_buff[yy] = bound_coord_y - - # Check the edge functions for each edge one at a time, as soon - # as one is outside we don't need to do anymore work - weights_buff[0] = edge_function(nodes_raster_buff[1,:], - nodes_raster_buff[2,:], - px_coord_buff) - if (weights_buff[0] < -tol): - bound_coord_x += coord_step - bound_ind_x += 1 - continue - - weights_buff[1] = edge_function(nodes_raster_buff[2,:], - nodes_raster_buff[0,:], - px_coord_buff) - if (weights_buff[1] < -tol): - bound_coord_x += coord_step - bound_ind_x += 1 - continue - - - weights_buff[2] = edge_function(nodes_raster_buff[0,:], - nodes_raster_buff[1,:], - px_coord_buff) - if (weights_buff[2] < -tol): - bound_coord_x += coord_step - bound_ind_x += 1 - continue - - # if (ee%6) == 0: - # print(f"Elem: {ee}") - # print(f"x bound ind={bound_ind_x}, coord={bound_coord_x}") - # print(f"y bound ind={bound_ind_y}, coord={bound_coord_y}") - # print(f"weights=[{weights_buff[0]},{weights_buff[1]},{weights_buff[2]}]") - # print() - - - for ww in range(nodes_per_elem): - weights_buff[ww] = weights_buff[ww] / elem_area - - weight_dot_nodes: cython.double = vec_dot_double( - weights_buff, - nodes_raster_buff[:,zz]) - - # Check the depth buffer, if the element is behind move on - px_coord_z: cython.double = 1/weight_dot_nodes - if px_coord_z >= depth_buff_subpx[bound_ind_y,bound_ind_x]: - bound_coord_x += coord_step - bound_ind_x += 1 - continue - - # We only need one depth buffer for all fields - depth_buff_subpx[bound_ind_y,bound_ind_x] = px_coord_z - - for ff in range(fields_num): - for nn in range(nodes_per_elem): - - field_raster_buff[nn] = (fields_to_render[connect[ee,nn],ff] - *nodes_raster_buff[nn,zz]) - - px_field: cython.double = (vec_dot_double(field_raster_buff, - weights_buff) - *px_coord_z) - - image_buff_subpx[bound_ind_y,bound_ind_x,ff] = px_field - - # end for(x) - increment the x coords - bound_coord_x += coord_step - bound_ind_x += 1 - - # end for(y) - increment the y coords - bound_coord_y += coord_step - bound_ind_y += 1 - - _average_image(depth_buff_subpx,sub_samp,depth_buff_avg) - - for ff in range(fields_num): - _average_image(image_buff_subpx[:,:,ff], - sub_samp, - image_buff_avg[:,:,ff]) - - return elems_in_image diff --git a/src/pyvale/sensorsim/fieldconverter.py b/src/pyvale/sensorsim/fieldconverter.py index 786ec3255..f8d6997a6 100644 --- a/src/pyvale/sensorsim/fieldconverter.py +++ b/src/pyvale/sensorsim/fieldconverter.py @@ -13,8 +13,8 @@ import pyvista as pv from pyvista import CellType from pyvale.dataio.simdata import SimData -from pyvale.dataio.meshtools import enforce_mesh_convention -from pyvale.dataio.meshtools import extract_surf_mesh as _extract_surf_mesh +from pyvale.dataio.meshconv import enforce_mesh_convention +from pyvale.dataio.meshconv import extract_surf_mesh as _extract_surf_mesh from pyvale.sensorsim.enums import EDim diff --git a/src/pyvale/sensorsim/fieldscalar.py b/src/pyvale/sensorsim/fieldscalar.py index 36de8be66..80f9c4d91 100644 --- a/src/pyvale/sensorsim/fieldscalar.py +++ b/src/pyvale/sensorsim/fieldscalar.py @@ -8,7 +8,7 @@ import pyvista as pv from scipy.spatial.transform import Rotation from pyvale.dataio.simdata import SimData -from pyvale.dataio.meshtools import enforce_mesh_convention +from pyvale.dataio.meshconv import enforce_mesh_convention from pyvale.sensorsim.field import IField from pyvale.sensorsim.fieldconverter import simdata_to_pyvista_vis from pyvale.sensorsim.fieldinterpmesh import FieldInterpMesh diff --git a/src/pyvale/sensorsim/fieldtensor.py b/src/pyvale/sensorsim/fieldtensor.py index 026d3a345..6ac5be1c6 100644 --- a/src/pyvale/sensorsim/fieldtensor.py +++ b/src/pyvale/sensorsim/fieldtensor.py @@ -9,7 +9,7 @@ from scipy.spatial.transform import Rotation from pyvale.dataio.simdata import SimData -from pyvale.dataio.meshtools import enforce_mesh_convention +from pyvale.dataio.meshconv import enforce_mesh_convention from pyvale.sensorsim.field import IField from pyvale.sensorsim.fieldconverter import (simdata_to_pyvista_vis, simdata_to_pyvista_interp) diff --git a/src/pyvale/sensorsim/fieldvector.py b/src/pyvale/sensorsim/fieldvector.py index c76775b96..f922c009f 100644 --- a/src/pyvale/sensorsim/fieldvector.py +++ b/src/pyvale/sensorsim/fieldvector.py @@ -9,7 +9,7 @@ from scipy.spatial.transform import Rotation from pyvale.dataio.simdata import SimData -from pyvale.dataio.meshtools import enforce_mesh_convention +from pyvale.dataio.meshconv import enforce_mesh_convention from pyvale.sensorsim.field import IField from pyvale.sensorsim.fieldconverter import (simdata_to_pyvista_interp, simdata_to_pyvista_vis) diff --git a/src/pyvale/sensorsim/imagedef2d.py b/src/pyvale/sensorsim/imagedef2d.py deleted file mode 100644 index 017595edc..000000000 --- a/src/pyvale/sensorsim/imagedef2d.py +++ /dev/null @@ -1,577 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -NOTE: This module is a feature under developement. -""" - -# TODO -# - Update deformation functions to use pyvista a - -import time -import warnings -from dataclasses import dataclass -from pathlib import Path -import numpy as np -from scipy.interpolate import griddata -from scipy.interpolate import RectBivariateSpline -from scipy import ndimage - -from pyvale.sensorsim.rasternp import edge_function, RasterNP -from pyvale.sensorsim.cameradata2d import CameraData2D -from pyvale.sensorsim.cameratools import CameraTools -from pyvale.sensorsim.imagetools import ImageTools, EImageType - - -@dataclass(slots=True) -class ImageDefOpts: - save_path: Path | None = None - save_tag: str = "defimage" - - mask_input_image: bool = True - - crop_on: bool = False - crop_px: np.ndarray | None = None # only used to crop input image if above is true - - calc_res_from_fe: bool = False - calc_res_border_px: int = 5 - - add_static_ref: bool = False - - fe_interp: str = "linear" - fe_rescale: bool = True - fe_extrap_outside_fov: bool = True # forces displacements outside the - #subsample: int = 2 # MOVED TO CAMERA DATA - - image_def_order: int = 3 - image_def_extrap: str = "nearest" - image_def_extval: float = 0.0 # only used if above is "constant" - - def_complex_geom: bool = True - - def __post_init__(self) -> None: - if self.save_path is None: - self.save_path = Path.cwd() / "deformed_images" - - -class ImageDef2D: - - @staticmethod - def image_mask_from_sim(cam_data: CameraData2D, - image: np.ndarray, - coords: np.ndarray, - connectivity: np.ndarray - ) -> tuple[np.ndarray,np.ndarray]: - - # Here to allow for addition - #subsample: int = cam_data.subsample - subsample: int = 1 - - coords_raster = coords - cam_data.roi_cent_world - if coords_raster.shape[1] >= 3: - coords_raster = coords_raster[:,:-1] - - # Coords NDC: Convert to normalised device coords in the range [-1,1] - coords_raster[:,0] = 2*coords_raster[:,0] / cam_data.field_of_view[0] - coords_raster[:,1] = 2*coords_raster[:,1] / cam_data.field_of_view[1] - - # Coords Raster: Covert to pixel (raster) coords - # Shape = ([X,Y,Z],num_nodes) - coords_raster[:,0] = (coords_raster[:,0] + 1)/2 * cam_data.pixels_count[0] - coords_raster[:,1] = (1-coords_raster[:,1])/2 * cam_data.pixels_count[1] - - # shape=(num_elems,node_per_elem,coord[x,y]) - elem_coords = np.ascontiguousarray(coords_raster[connectivity,:]) - - #shape=(num_elems,coord[x,y,z]) - elem_coord_min = np.min(elem_coords,axis=1) - elem_coord_max = np.max(elem_coords,axis=1) - - # Check that min/max nodes are within the 4 edges of the camera image - #shape=(4_edges_to_check,num_elems) - crop_mask = np.zeros([elem_coords.shape[0],4],dtype=np.int8) - crop_mask[elem_coord_min[:,0] <= (cam_data.pixels_count[0]-1), 0] = 1 - crop_mask[elem_coord_min[:,1] <= (cam_data.pixels_count[1]-1), 1] = 1 - crop_mask[elem_coord_max[:,0] >= 0, 2] = 1 - crop_mask[elem_coord_max[:,1] >= 0, 3] = 1 - crop_mask = np.sum(crop_mask,axis=1) == 4 - - # Mask the element coords - elem_coords = np.ascontiguousarray(elem_coords[crop_mask,:,:]) - - # Get only the elements that are within the FOV - # Mask the elem coords and the max and min elem coords for processing - elem_coord_min = elem_coord_min[crop_mask,:] - elem_coord_max = elem_coord_max[crop_mask,:] - num_elems_in_image = elem_coord_min.shape[0] - - # Find the indices of the bounding box that each element lies within on - # the image, bounded by the upper and lower edges of the image - elem_bound_boxes_inds = np.zeros([num_elems_in_image,4],dtype=np.int32) - elem_bound_boxes_inds[:,0] = RasterNP.elem_bound_box_low( - elem_coord_min[:,0]) - elem_bound_boxes_inds[:,1] = RasterNP.elem_bound_box_high( - elem_coord_max[:,0], - cam_data.pixels_count[0]-1) - elem_bound_boxes_inds[:,2] = RasterNP.elem_bound_box_low( - elem_coord_min[:,1]) - elem_bound_boxes_inds[:,3] = RasterNP.elem_bound_box_high( - elem_coord_max[:,1], - cam_data.pixels_count[1]-1) - - num_edges: int = 3 - if elem_coords.shape[1] > 3: - num_edges = 4 - - mask_subpixel_buffer = np.full(subsample*cam_data.pixels_count,0.0).T - # Raster Loop - for ee in range(elem_coords.shape[0]): - # Create the subpixel coords inside the bounding box to test with the - # edge function. Use the pixel indices of the bounding box. - bound_subpx_x = np.arange(elem_bound_boxes_inds[ee,0], - elem_bound_boxes_inds[ee,1], - 1/subsample) + 1/(2*subsample) - bound_subpx_y = np.arange(elem_bound_boxes_inds[ee,2], - elem_bound_boxes_inds[ee,3], - 1/subsample) + 1/(2*subsample) - (bound_subpx_grid_x,bound_subpx_grid_y) = np.meshgrid(bound_subpx_x, - bound_subpx_y) - bound_coords_grid_shape = bound_subpx_grid_x.shape - # shape=(coord[x,y],num_subpx_in_box) - bound_subpx_coords_flat = np.vstack((bound_subpx_grid_x.flatten(), - bound_subpx_grid_y.flatten())) - - # Create the subpixel indices for buffer slicing later - subpx_inds_x = np.arange(subsample*elem_bound_boxes_inds[ee,0], - subsample*elem_bound_boxes_inds[ee,1]) - subpx_inds_y = np.arange(subsample*elem_bound_boxes_inds[ee,2], - subsample*elem_bound_boxes_inds[ee,3]) - (subpx_inds_grid_x,subpx_inds_grid_y) = np.meshgrid(subpx_inds_x, - subpx_inds_y) - - edge = np.zeros((num_edges,bound_subpx_coords_flat.shape[1]),dtype=np.float64) - - if num_edges == 4: - edge[0,:] = edge_function(elem_coords[ee,1,:], - elem_coords[ee,2,:], - bound_subpx_coords_flat) - edge[1,:] = edge_function(elem_coords[ee,2,:], - elem_coords[ee,3,:], - bound_subpx_coords_flat) - edge[2,:] = edge_function(elem_coords[ee,3,:], - elem_coords[ee,0,:], - bound_subpx_coords_flat) - edge[3,:] = edge_function(elem_coords[ee,0,:], - elem_coords[ee,1,:], - bound_subpx_coords_flat) - else: - edge[0,:] = edge_function(elem_coords[ee,1,:], - elem_coords[ee,2,:], - bound_subpx_coords_flat) - edge[1,:] = edge_function(elem_coords[ee,2,:], - elem_coords[ee,0,:], - bound_subpx_coords_flat) - edge[2,:] = edge_function(elem_coords[ee,0,:], - elem_coords[ee,1,:], - bound_subpx_coords_flat) - - - # Now we check where the edge function is above zero for all edges - edge_check = np.zeros_like(edge,dtype=np.int8) - edge_check[edge >= 0.0] = 1 - edge_check = np.sum(edge_check, axis=0) - # Create a mask with the check - edge_mask_flat = edge_check == num_edges - edge_mask_grid = np.reshape(edge_mask_flat,bound_coords_grid_shape) - - subpx_inds_grid_x = subpx_inds_grid_x[edge_mask_grid] - subpx_inds_grid_y = subpx_inds_grid_y[edge_mask_grid] - mask_subpixel_buffer[subpx_inds_grid_y,subpx_inds_grid_x] += 1.0 - - mask_subpixel_buffer[mask_subpixel_buffer>1.0] = 1.0 - - mask_buffer = CameraTools.average_subpixel_image(mask_subpixel_buffer, - subsample) - image[mask_buffer<1.0] = cam_data.background - return (image,mask_subpixel_buffer) - - - @staticmethod - def upsample_image(cam_data: CameraData2D, - input_im: np.ndarray): - # Get grid of pixel centroid locations - (px_vec_xm,px_vec_ym) = CameraTools.pixel_vec_leng(cam_data.field_of_view, - cam_data.leng_per_px) - - # Get grid of sub-pixel centroid locations - (subpx_vec_xm,subpx_vec_ym) = CameraTools.subpixel_vec_leng( - cam_data.field_of_view, - cam_data.leng_per_px, - cam_data.subsample) - - # NOTE: See Scipy transition from interp2d docs here: - # https://scipy.github.io/devdocs/tutorial/interpolate/interp_transition_guide.html - spline_interp = RectBivariateSpline(px_vec_xm, - px_vec_ym, - input_im.T) - upsampled_image_interp = lambda x_new, y_new: spline_interp(x_new, y_new).T - - # This function will flip the image regardless of the y vector input so flip it - # back to FE coords - upsampled_image = upsampled_image_interp(subpx_vec_xm,subpx_vec_ym) - - return upsampled_image - - - @staticmethod - def preprocess(cam_data: CameraData2D, - image_input: np.ndarray, - coords: np.ndarray, - connectivity: np.ndarray, - disp_x: np.ndarray, - disp_y: np.ndarray, - id_opts: ImageDefOpts, - print_on: bool = False - ) -> tuple[np.ndarray | None, - np.ndarray | None, - np.ndarray | None, - np.ndarray | None, - np.ndarray | None]: - - if print_on: - print("\n"+"="*80) - print("IMAGE DEF PRE-PROCESSING\n") - - if not id_opts.save_path.is_dir(): - id_opts.save_path.mkdir() - - # Make displacements a 2D column vector, allows addition of static frame - if disp_x.ndim == 1: - disp_x = np.atleast_2d(disp_x).T - if disp_y.ndim == 1: - disp_y = np.atleast_2d(disp_y).T - - if id_opts.add_static_ref: - num_nodes = coords.shape[0] # type: ignore - disp_x = np.hstack((np.zeros((num_nodes,1)),disp_x)) - disp_y = np.hstack((np.zeros((num_nodes,1)),disp_y)) - - image_input = CameraTools.crop_image_rectangle(image_input, - cam_data.pixels_count) - - if id_opts.mask_input_image or id_opts.def_complex_geom: - if print_on: - print('Image masking or complex geometry on, getting image mask.') - tic = time.perf_counter() - - (image_input, - image_mask) = ImageDef2D.image_mask_from_sim(cam_data, - image_input, - coords, - connectivity) - - - if print_on: - toc = time.perf_counter() - print(f'Calculating image mask took {toc-tic:.4f} seconds') - else: - image_mask = None - - - # Image upsampling - if print_on: - print('\n'+'-'*80) - print('GENERATE UPSAMPLED IMAGE\n') - print(f'Upsampling input image with a {cam_data.subsample}x{cam_data.subsample} subpixel') - tic = time.perf_counter() - - upsampled_image = ImageDef2D.upsample_image(cam_data,image_input) - - if print_on: - toc = time.perf_counter() - print(f'Upsampling image withtook {toc-tic:.4f} seconds') - - return (upsampled_image,image_mask,image_input,disp_x,disp_y) - - @staticmethod - def deform_one_image(upsampled_image: np.ndarray, - cam_data: CameraData2D, - id_opts: ImageDefOpts, - coords: np.ndarray, - disp: np.ndarray, - image_mask: np.ndarray | None = None, - print_on: bool = True - ) -> tuple[np.ndarray, - np.ndarray, - np.ndarray, - np.ndarray, - np.ndarray | None]: - - if image_mask is not None: - if (image_mask.shape[0] != cam_data.pixels_count[1]) or (image_mask.shape[1] != cam_data.pixels_count[0]): - if image_mask.size == 0: - warnings.warn('Image mask not specified, using default mask of whole image.') - else: - warnings.warn('Image mask size does not match camera, using default mask of whole image.') - image_mask = np.ones([cam_data.pixels_count[1],cam_data.pixels_count[0]]) - - (px_grid_xm, - px_grid_ym) = CameraTools.pixel_grid_leng(cam_data.field_of_view, - cam_data.leng_per_px) - - (subpx_grid_xm, - subpx_grid_ym) = CameraTools.subpixel_grid_leng(cam_data.field_of_view, - cam_data.leng_per_px, - cam_data.subsample) - - #-------------------------------------------------------------------------- - # Interpolate FE displacements onto the sub-pixel grid - if print_on: - print('Interpolating displacement onto sub-pixel grid.') - tic = time.perf_counter() - - (subpx_disp_x,subpx_disp_y) = _interp_sim_disp_to_subpx_grid( - coords, - disp, - cam_data, - id_opts, - subpx_grid_xm, - subpx_grid_ym) - - if print_on: - toc = time.perf_counter() - print('Interpolating displacement with NaN extrap took {:.4f} seconds'.format(toc-tic)) - - #-------------------------------------------------------------------------- - # Interpolate sub-pixel gray levels with ndimage toolbox - if print_on: - print('Deforming sub-pixel image.') - tic = time.perf_counter() - - def_image_subpx = _interp_subpx_image(upsampled_image, - subpx_grid_xm-subpx_disp_x, - subpx_grid_ym-subpx_disp_y, - cam_data, - id_opts) - - if print_on: - toc = time.perf_counter() - print('Deforming sub-pixel image with ndimage took {:.4f} seconds'.format(toc-tic)) - - #-------------------------------------------------------------------------- - # Average subpixel image - if print_on: - tic = time.perf_counter() - - def_image = CameraTools.average_subpixel_image(def_image_subpx, - cam_data.subsample) - - if print_on: - toc = time.perf_counter() - print('Averaging sub-pixel imagetook {:.4f} seconds'.format(toc-tic)) - - #-------------------------------------------------------------------------- - # DEFORMING IMAGE MASK - if id_opts.def_complex_geom: - if print_on: - print('Deforming image mask.') - tic = time.perf_counter() - - (def_image,def_mask) = _deform_image_mask(def_image, - image_mask, - px_grid_xm, - px_grid_ym, - subpx_disp_x, - subpx_disp_y, - cam_data) - - if print_on: - toc = time.perf_counter() - print('Deforming image mask with ndimage took {:.4f} seconds'.format(toc-tic)) - - else: - def_mask = None - - # Need to flip the image as all processing above is done with y axis down - # from the top left hand corner - def_image = def_image[::-1,:] - - return (def_image,def_image_subpx,subpx_disp_x,subpx_disp_y,def_mask) - - @staticmethod - def deform_images_to_disk(cam_data: CameraData2D, - upsampled_image: np.ndarray, - coords: np.ndarray, - connectivity: np.ndarray, - disp_x: np.ndarray, - disp_y: np.ndarray, - image_mask: np.ndarray | None, - id_opts: ImageDefOpts, - print_on: bool = False) -> None: - - #--------------------------------------------------------------------------- - # Image Deformation Loop - if print_on: - print('\n'+'='*80) - print('DEFORMING IMAGES') - - num_frames = disp_x.shape[1] - ticl = time.perf_counter() - - for ff in range(num_frames): - if print_on: - ticf = time.perf_counter() - print(f'\nDEFORMING FRAME: {ff}') - - disp = np.array((disp_x[:,ff],disp_y[:,ff])).T - (def_image, - _, - _, - _, - _) = ImageDef2D.deform_one_image(upsampled_image, - cam_data, - id_opts, - coords, - disp, - image_mask, - print_on=print_on) - - save_file = id_opts.save_path / str(f'{id_opts.save_tag}_'+ - f'{ImageTools.get_num_str(im_num=ff,width=4)}'+ - '.tiff') - ImageTools.save_image(save_file, - def_image, - EImageType.TIFF, - cam_data.bits) - - if print_on: - tocf = time.perf_counter() - print(f'DEFORMING FRAME: {ff} took {tocf-ticf:.4f} seconds') - - if print_on: - tocl = time.perf_counter() - print('\n'+'-'*50) - print(f'Deforming all images took {tocl-ticl:.4f} seconds') - print('-'*50) - - print('\n'+'='*80) - print('COMPLETE\n') - - - -def _interp_sim_disp_to_subpx_grid(coords: np.ndarray, - disp: np.ndarray, - cam_data: CameraData2D, - id_opts: ImageDefOpts, - subpx_grid_xm: np.ndarray, - subpx_grid_ym: np.ndarray - ) -> tuple[np.ndarray,np.ndarray]: - - # Interpolate displacements onto sub-pixel locations - nan extrapolation - subpx_disp_x = griddata((coords[:,0] + disp[:,0] + cam_data.world_to_cam[0], - coords[:,1] + disp[:,1] + cam_data.world_to_cam[1]), - disp[:,0], - (subpx_grid_xm,subpx_grid_ym), - method=id_opts.fe_interp, - fill_value=np.nan, - rescale=id_opts.fe_rescale) - - subpx_disp_y = griddata((coords[:,0] + disp[:,0] + cam_data.world_to_cam[0], - coords[:,1] + disp[:,1] + cam_data.world_to_cam[1]), - disp[:,1], - (subpx_grid_xm,subpx_grid_ym), - method=id_opts.fe_interp, - fill_value=np.nan, - rescale=id_opts.fe_rescale) - - # Ndimage interp can't handle nans so force everything outside the specimen - # to extrapolate outside the FOV - then use ndimage opts to control - if id_opts.fe_extrap_outside_fov: - subpx_disp_ext_vals = 2*cam_data.field_of_view - else: - subpx_disp_ext_vals = (0.0,0.0) - - # Set the nans to the extrapoltion value - subpx_disp_x[np.isnan(subpx_disp_x)] = subpx_disp_ext_vals[0] - subpx_disp_y[np.isnan(subpx_disp_y)] = subpx_disp_ext_vals[1] - - return (subpx_disp_x,subpx_disp_y) - - -def _interp_subpx_image(upsampled_image: np.ndarray, - def_subpx_x: np.ndarray, - def_subpx_y: np.ndarray, - cam_data: CameraData2D, - id_opts: ImageDefOpts, - ) -> np.ndarray: - - # Flip needed to be consistent with pixel coords of ndimage - def_subpx_x = def_subpx_x[::-1,:] - def_subpx_y = def_subpx_y[::-1,:] - - # NDIMAGE: IMAGE DEF - # NOTE: need to shift to pixel centroid co-ords from nodal so -0.5 makes the - # top left 0,0 in pixel co-ords - def_subpx_x_in_px = def_subpx_x*(cam_data.subsample/cam_data.leng_per_px)-0.5 - def_subpx_y_in_px = def_subpx_y*(cam_data.subsample/cam_data.leng_per_px)-0.5 - # NOTE: prefilter needs to be on to match griddata and interp2D! - # with prefilter on this exactly matches I2D but 10x faster! - def_image_subpx = ndimage.map_coordinates(upsampled_image, - [[def_subpx_y_in_px], - [def_subpx_x_in_px]], - prefilter=True, - order= id_opts.image_def_order, - mode= id_opts.image_def_extrap, - cval= id_opts.image_def_extval) - - def_image_subpx = def_image_subpx[0,:,:].squeeze() - - return def_image_subpx - - -def _deform_image_mask(def_image: np.ndarray, - image_mask: np.ndarray, - px_grid_xm: np.ndarray, - px_grid_ym: np.ndarray, - subpx_disp_x: np.ndarray, - subpx_disp_y: np.ndarray, - cam_data: CameraData2D, - ) -> tuple[np.ndarray,np.ndarray]: - - # This is slow - might be quicker to just deform an upsampled mask - # TODO: use cython image averaging it is way faster! - px_disp_x = CameraTools.average_subpixel_image(subpx_disp_x, - cam_data.subsample) - px_disp_y = CameraTools.average_subpixel_image(subpx_disp_y, - cam_data.subsample) - - def_px_x = px_grid_xm-px_disp_x - def_px_y = px_grid_ym-px_disp_y - # Flip needed to be consistent with pixel coords of ndimage - def_px_x = def_px_x[::-1,:] - def_px_y = def_px_y[::-1,:] - - # NDIMAGE: DEFORM IMAGE MASK - # NOTE: need to shift to pixel centroid co-ords from nodal so -0.5 makes the - # top left 0,0 in pixel co-ords - def_px_x_in_px = def_px_x*(1/cam_data.leng_per_px)-0.5 - def_px_y_in_px = def_px_y*(1/cam_data.leng_per_px)-0.5 - # NOTE: prefilter needs to be on to match griddata and interp2D! - # with prefilter on this exactly matches I2D but 10x faster! - def_mask = ndimage.map_coordinates(image_mask, - [[def_px_y_in_px], - [def_px_x_in_px]], - prefilter=True, - order=2, - mode='constant', - cval=0) - - def_mask = def_mask[0,:,:].squeeze() - # Use the deformed image mask to mask the deformed image - # Mask is 0-1 with 1 being definitely inside the sample 0 outside - def_image[def_mask<0.51] = cam_data.background # type: ignore - - return (def_image,image_mask) diff --git a/src/pyvale/sensorsim/imagetools.py b/src/pyvale/sensorsim/imagetools.py index 9665dbe6b..c56e83b4d 100644 --- a/src/pyvale/sensorsim/imagetools.py +++ b/src/pyvale/sensorsim/imagetools.py @@ -20,6 +20,28 @@ def __str__(self): class ImageTools: + @staticmethod + def edge_function(vert_a: np.ndarray, + vert_b: np.ndarray, + vert_c: np.ndarray) -> np.ndarray: + """Calculate the signed 2D edge function for a point or point array.""" + return ((vert_c[0] - vert_a[0]) * (vert_b[1] - vert_a[1]) + - (vert_c[1] - vert_a[1]) * (vert_b[0] - vert_a[0])) + + @staticmethod + def elem_bound_box_low(coord_min: np.ndarray) -> np.ndarray: + """Return lower integer element bounds clipped to image index zero.""" + return np.maximum(np.floor(coord_min).astype(np.int32), 0) + + @staticmethod + def elem_bound_box_high(coord_max: np.ndarray, + image_px: int) -> np.ndarray: + """Return upper integer element bounds clipped to the image extent.""" + return np.minimum( + np.ceil(coord_max).astype(np.int32), + image_px * np.ones_like(coord_max, dtype=np.int32), + ) + @staticmethod def load_image_rgb(im_path: Path) -> np.ndarray: return mplim.imread(im_path).astype(np.float64) @@ -134,4 +156,3 @@ def _image_to_uint(image: np.ndarray, bits: int) -> np.ndarray: warnings.warn(f"Number of bits={bits} should be between 0 and 32, defaulting to 16 bits.") return image.astype(np.uint16) - diff --git a/src/pyvale/sensorsim/raster.py b/src/pyvale/sensorsim/raster.py deleted file mode 100644 index f4b1de68a..000000000 --- a/src/pyvale/sensorsim/raster.py +++ /dev/null @@ -1,31 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -NOTE: this module is a feature under developement. -""" - -from abc import ABC, abstractmethod -import numpy as np - -# NOTE: -# - Need to render a single frame static/deformed -# - Need to render all frames static/deformed -class IRaster(ABC): - @abstractmethod - def render_static_frame() -> None: - pass - - @abstractmethod - def render_deformed_frame() -> None: - pass - - -# NOTE: -# - Manages parallelisation/saving with different rendering backends -# - Uses multi-processing -class Raster: - pass diff --git a/src/pyvale/sensorsim/rastercy.py b/src/pyvale/sensorsim/rastercy.py deleted file mode 100644 index 3a6e67fa7..000000000 --- a/src/pyvale/sensorsim/rastercy.py +++ /dev/null @@ -1,107 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -NOTE: this module is a feature under developement. -""" - -from pathlib import Path -from multiprocessing.pool import Pool -import numpy as np -from pyvale.sensorsim.cameradata import CameraData -from pyvale.sensorsim.rendermesh import RenderMesh -from pyvale.sensorsim.renderer import IRenderer -from pyvale.sensorsim.rasteropts import RasterOpts -import pyvale.sensorsim.cython.rastercyth as rastercyth - -# NOTE: This module is a feature under developement. - - -# class RasterCyth(IRenderEngine): -# __slots__ = ("opts",) - -# def __init__(self, opts: RasterOpts) -> None: -# self.opts = opts - - -# def one_frame(self, frame_ind: int = 0) -> list[np.ndarray]: -# pass - - -# def all_frames(self, para_by_frame: int = 1) -> list[np.ndarray]: -# pass - - -# def one_frame_to_disk(self, frame_ind: int = 0) -> None: -# pass - - -# def all_frames_to_disk(self, para_by_frame: int = 1) -> None: -# pass - - - - -class RasterCY: - @staticmethod - def raster_static_mesh(cam_data: CameraData, - render_mesh: RenderMesh, - workers: int | None = None, - ) -> tuple[np.ndarray,np.ndarray,np.ndarray] | None: - - frames_num = render_mesh.fields_render.shape[1] - field_num = render_mesh.fields_render.shape[2] - - images_out = np.empty((cam_data.pixels_num[1], - cam_data.pixels_num[0], - frames_num, - field_num)) - depths_out = np.empty((cam_data.pixels_num[1], - cam_data.pixels_num[0], - frames_num)) - elems_out = np.empty((frames_num,)) - - if workers is None: - for tt in range(frames_num): - (image_buffer, - depth_buffer, - elems_in_image) = rastercyth.raster_static_frame( - render_mesh.coords, - render_mesh.connectivity, - render_mesh.fields_render[:,tt,:], - cam_data) - - images_out[:,:,tt,:] = image_buffer - depths_out[:,:,tt] = depth_buffer - elems_out[tt] = elems_in_image - - else: - assert workers > 0, "Number of threads must be greater than 0." - - with Pool(workers) as pool: - processes_with_id = [] - - for tt in range(frames_num): - args = (render_mesh.coords, - render_mesh.connectivity, - render_mesh.fields_render[:,tt,:], - cam_data) - - process = pool.apply_async(rastercyth.raster_static_frame, args=args) - processes_with_id.append({"process": process, - "frame": tt}) - - for pp in processes_with_id: - (image,depth,elems) = pp["process"].get() - images_out[:,:,pp["frame"],:] = image - depths_out[:,:,pp["frame"]] = depth - elems_out = elems - - return (images_out,depths_out,elems_out) - - - - diff --git a/src/pyvale/sensorsim/rasternp.py b/src/pyvale/sensorsim/rasternp.py deleted file mode 100644 index 53a98de12..000000000 --- a/src/pyvale/sensorsim/rasternp.py +++ /dev/null @@ -1,622 +0,0 @@ -#=============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -#=============================================================================== - -""" -NOTE: this module is a feature under developement -""" - -from pathlib import Path -import time -from multiprocessing.pool import Pool -import numpy as np -#import matplotlib.pyplot as plt -import pyvale.dataset as dataset -from pyvale.sensorsim.cameradata import CameraData -from pyvale.sensorsim.cameratools import CameraTools -from pyvale.sensorsim.rendermesh import RenderMesh -from pyvale.sensorsim.renderer import IRenderer, RenderScene -from pyvale.sensorsim.rasteropts import RasterOpts, save_raster -from pyvale.sensorsim.imagetools import ImageTools -#from pyvale.sensorsim.visualimages import plot_field_image -import pyvale.sensorsim.cython.rastercyth as rastercyth - - -# NOTE: This module is a feature under developement. - -#=============================================================================== -class RasterNumpy(IRenderer): - __slots__ = ("scene","opts",) - - def __init__(self, opts: RasterOpts) -> None: - self.opts = opts - - - def render(self, - scene: RenderScene, - cam_ind: int = 0, - frame_ind: int = 0, - field_ind: int = 0) -> np.ndarray: - - image = RasterNP.raster_frame( - cam_ind=cam_ind, - frame_ind=frame_ind, - field_ind=field_ind, - cam_data=scene.cameras[cam_ind], - meshes=scene.meshes, - opts=self.opts, - save_path=None, - ) - - return image - - - def render_to_disk(self, - scene: RenderScene, - cam_ind: int = 0, - frame_ind: int = 0, - field_ind: int = 0, - save_path: Path | None = None) -> None: - - if save_path is None: - save_path = DataSet.create_output_path() - - if not save_path.is_dir(): - raise FileExistsError(f"Save path for render images does not exist:\n{save_path}") - - RasterNP.raster_frame( - cam_ind=cam_ind, - frame_ind=frame_ind, - field_ind=field_ind, - cam_data=scene.cameras[cam_ind], - meshes=scene.meshes, - opts=self.opts, - save_path=save_path, - ) - - - def render_all(self, scene: RenderScene) -> list[np.ndarray]: - - images = RasterNP.raster_scene( - scene=scene, - opts=self.opts, - save_path=None, - ) - - return images - - - def render_all_to_disk(self, - scene: RenderScene, - save_path: Path | None = None) -> None: - - if save_path is None: - save_path = DataSet.create_output_path() - - if not save_path.is_dir(): - raise FileExistsError(f"Save path for render images does not exist:\n{save_path}") - - RasterNP.raster_scene(scene=scene,opts=self.opts,save_path=save_path) - - - -#=============================================================================== -class RasterNP: - @staticmethod - def world_to_raster_coords(world_to_cam_mat: np.ndarray, - pixels_num: np.ndarray, - image_dims: np.ndarray, - image_dist: float, - coords_world: np.ndarray) -> np.ndarray: - # coords_world.shape=(num_nodes,coord[X,Y,Z,W]) - - # Project onto camera coords - # coords_raster.shape=(num_nodes,coord[X,Y,Z,W]) - coords_raster = np.matmul(coords_world,world_to_cam_mat.T) - - # NOTE: w is not 1 when the matrix is a perspective projection! It is only 1 - # here when we have an affine transformation - coords_raster[:,0] = coords_raster[:,0] / coords_raster[:,3] - coords_raster[:,1] = coords_raster[:,1] / coords_raster[:,3] - coords_raster[:,2] = coords_raster[:,2] / coords_raster[:,3] - - # Coords Image: Perspective divide - coords_raster[:,0] = (image_dist * coords_raster[:,0] - / -coords_raster[:,2]) - coords_raster[:,1] = (image_dist * coords_raster[:,1] - / -coords_raster[:,2]) - - # Coords NDC: Convert to normalised device coords in the range [-1,1] - coords_raster[:,0] = 2*coords_raster[:,0] / image_dims[0] - coords_raster[:,1] = 2*coords_raster[:,1] / image_dims[1] - - # Coords Raster: Covert to pixel (raster) coords - # Shape = ([X,Y,Z],num_nodes) - coords_raster[:,0] = (coords_raster[:,0] + 1)/2 * pixels_num[0] - coords_raster[:,1] = (1-coords_raster[:,1])/2 * pixels_num[1] - coords_raster[:,2] = -coords_raster[:,2] - - return coords_raster - - - @staticmethod - def back_face_removal_mask(world_to_cam_mat: np.ndarray, - coords_world: np.ndarray, - connect: np.ndarray - ) -> np.ndarray: - coords_cam = np.matmul(coords_world,world_to_cam_mat.T) - - # shape=(num_elems,nodes_per_elem,coord[x,y,z,w]) - elem_cam_coords = coords_cam[connect,:] - - # Calculate the normal vectors for all of the elements, remove the w coord - # shape=(num_elems,coord[x,y,z]) - elem_cam_edge0 = elem_cam_coords[:,1,:-1] - elem_cam_coords[:,0,:-1] - elem_cam_edge1 = elem_cam_coords[:,2,:-1] - elem_cam_coords[:,0,:-1] - elem_cam_normals = np.cross(elem_cam_edge0,elem_cam_edge1, - axisa=1,axisb=1).T - elem_cam_normals = elem_cam_normals / np.linalg.norm(elem_cam_normals,axis=0) - - cam_normal = np.array([0,0,1]) - # shape=(num_elems,) - proj_elem_to_cam = np.dot(cam_normal,elem_cam_normals) - - # NOTE this should be a numerical precision tolerance (epsilon) - back_face_mask = proj_elem_to_cam > 1e-12 - - return back_face_mask - - @staticmethod - def crop_and_bound_by_connect(pixels_num: np.ndarray, - coords_raster: np.ndarray, - connectivity: np.ndarray, - ) -> tuple[np.ndarray,np.ndarray]: - - #shape=(num_elems,coord[x,y,z,w]) - if coords_raster.ndim == 2: - coords_by_elem = coords_raster[connectivity,:] - else: - coords_by_elem = coords_raster[connectivity,:,:] - - elem_raster_coord_min = np.min(coords_by_elem,axis=1) - elem_raster_coord_max = np.max(coords_by_elem,axis=1) - - # Check that min/max nodes are within the 4 edges of the camera image - #shape=(4_edges_to_check,num_elems) - crop_mask = np.zeros([connectivity.shape[0],4],dtype=np.int8) - crop_mask[elem_raster_coord_min[:,0] <= (pixels_num[0]-1), 0] = 1 - crop_mask[elem_raster_coord_min[:,1] <= (pixels_num[1]-1), 1] = 1 - crop_mask[elem_raster_coord_max[:,0] >= 0, 2] = 1 - crop_mask[elem_raster_coord_max[:,1] >= 0, 3] = 1 - crop_mask = np.sum(crop_mask,axis=1) == 4 - - # Get only the elements that are within the FOV - # Mask the elem coords and the max and min elem coords for processing - elem_raster_coord_min = elem_raster_coord_min[crop_mask,:] - elem_raster_coord_max = elem_raster_coord_max[crop_mask,:] - num_elems_in_image = elem_raster_coord_min.shape[0] - - - # Find the indices of the bounding box that each element lies within on - # the image, bounded by the upper and lower edges of the image - elem_bound_boxes_inds = np.zeros([num_elems_in_image,4],dtype=np.int32) - elem_bound_boxes_inds[:,0] = RasterNP.elem_bound_box_low( - elem_raster_coord_min[:,0]) - elem_bound_boxes_inds[:,1] = RasterNP.elem_bound_box_high( - elem_raster_coord_max[:,0], - pixels_num[0]-1) - elem_bound_boxes_inds[:,2] = RasterNP.elem_bound_box_low( - elem_raster_coord_min[:,1]) - elem_bound_boxes_inds[:,3] = RasterNP.elem_bound_box_high( - elem_raster_coord_max[:,1], - pixels_num[1]-1) - - return (crop_mask,elem_bound_boxes_inds) - - - @staticmethod - def elem_bound_box_low(coord_min: np.ndarray) -> np.ndarray: - bound_elem = np.floor(coord_min).astype(np.int32) - bound_low = np.zeros_like(coord_min,dtype=np.int32) - bound_mat = np.vstack((bound_elem,bound_low)) - return np.max(bound_mat,axis=0) - - - @staticmethod - def elem_bound_box_high(coord_max: np.ndarray,image_px: int) -> np.ndarray: - bound_elem = np.ceil(coord_max).astype(np.int32) - bound_high = image_px*np.ones_like(coord_max,dtype=np.int32) - bound_mat = np.vstack((bound_elem,bound_high)) - bound = np.min(bound_mat,axis=0) - return bound - - @staticmethod - def average_buffers(cam_data: CameraData, - image_buff_subpx: np.ndarray, - depth_buff_subpx: np.ndarray) -> tuple[np.ndarray,np.ndarray]: - - depth_buff_avg = np.empty((cam_data.pixels_num[1],cam_data.pixels_num[0]), - dtype=np.float64) - image_buff_avg = np.empty((cam_data.pixels_num[1],cam_data.pixels_num[0]), - dtype=np.float64) - - if Path(rastercyth.__file__).suffix in (".so",".dll",".dylib"): - depth_buff_avg = np.array( - rastercyth.average_image(depth_buff_subpx,cam_data.sub_samp)) - - - image_buff_avg = np.array( - rastercyth.average_image(image_buff_subpx,cam_data.sub_samp)) - - else: - depth_buff_avg = CameraTools.average_subpixel_image( - depth_buff_subpx,cam_data.sub_samp) - image_buff_avg = CameraTools.average_subpixel_image( - image_buff_subpx,cam_data.sub_samp) - - return (image_buff_avg,depth_buff_avg) - - - @staticmethod - def setup_frame(camera: CameraData, - mesh: RenderMesh, - frame_ind: int = 0, - ) -> tuple[np.ndarray,np.ndarray,np.ndarray]: - - connect_in_frame = np.copy(mesh.connectivity) - coords_deform = np.copy(mesh.coords) - - #----------------------------------------------------------------------- - # DEFORM MESH WITH DISPLACEMENT - if mesh.fields_disp is not None: - # Exclude w coord from mesh deformation - coords_deform[:,:-1] = (coords_deform[:,:-1] - + mesh.fields_disp[:,frame_ind,:]) - - #----------------------------------------------------------------------- - # Convert all meshes from local to world coords - coords_deform = np.matmul(coords_deform,mesh.mesh_to_world_mat.T) - - #----------------------------------------------------------------------- - # Convert world coords of all elements in the scene - # shape=(num_nodes,coord[x,y,z,w]) - coords_raster = RasterNP.world_to_raster_coords(camera.world_to_cam_mat, - camera.pixels_num, - camera.image_dims, - camera.image_dist, - coords_deform) - - # Convert to perspective correct hyperbolic interpolation for z interp - # shape=(num_nodes,coord[x,y,z,w]) - coords_raster[:,2] = 1/coords_raster[:,2] - # Remove w coord - coords_raster = coords_raster[:,:-1] - - #----------------------------------------------------------------------- - # BACKFACE REMOVAL - # shape=(num_elems,) - back_face_mask = RasterNP.back_face_removal_mask(camera.world_to_cam_mat, - coords_deform, - connect_in_frame) - connect_in_frame = connect_in_frame[back_face_mask,:] - - #----------------------------------------------------------------------- - # CROPPING & BOUNDING BOX OPERATIONS - (crop_mask, - elem_bound_box_inds) = RasterNP.crop_and_bound_by_connect( - camera.pixels_num, - coords_raster, - connect_in_frame, - ) - connect_in_frame = connect_in_frame[crop_mask,:] - - #----------------------------------------------------------------------- - # ELEMENT AREAS FOR INTERPOLATION - elem_raster_coords = coords_raster[connect_in_frame,:] - elem_areas = edge_function_slice(elem_raster_coords[:,0,:], - elem_raster_coords[:,1,:], - elem_raster_coords[:,2,:]) - - return (coords_raster,connect_in_frame,elem_bound_box_inds,elem_areas) - - - @staticmethod - def raster_elem(elem_raster_coords: np.ndarray, - elem_bound_box_inds: np.ndarray, - elem_area: float, - field_divide_z: np.ndarray, - sub_samp: int, - ) -> tuple[np.ndarray,np.ndarray,np.ndarray,np.ndarray]: - # elem_raster_coords.shape=() - # elem_bound_box_inds.shape=() - # field_divide_z.shape=() - - # Create the subpixel coords inside the bounding box to test with the - # edge function. Use the pixel indices of the bounding box. - bound_subpx_x = np.arange(elem_bound_box_inds[0], - elem_bound_box_inds[1], - 1/sub_samp) + 1/(2*sub_samp) - bound_subpx_y = np.arange(elem_bound_box_inds[2], - elem_bound_box_inds[3], - 1/sub_samp) + 1/(2*sub_samp) - (bound_subpx_grid_x,bound_subpx_grid_y) = np.meshgrid(bound_subpx_x, - bound_subpx_y) - bound_coords_grid_shape = bound_subpx_grid_x.shape - # shape=(coord[x,y],num_subpx_in_box) - bound_subpx_coords_flat = np.vstack((bound_subpx_grid_x.flatten(), - bound_subpx_grid_y.flatten())) - - # Create the subpixel indices for buffer slicing later - subpx_inds_x = np.arange(sub_samp*elem_bound_box_inds[0], - sub_samp*elem_bound_box_inds[1]) - subpx_inds_y = np.arange(sub_samp*elem_bound_box_inds[2], - sub_samp*elem_bound_box_inds[3]) - (subpx_inds_grid_x,subpx_inds_grid_y) = np.meshgrid(subpx_inds_x, - subpx_inds_y) - - - # We compute the edge function for all pixels in the box to determine if the - # pixel is inside the element or not - # NOTE: first axis of element_raster_coords is the node/vertex num. - # shape=(num_elems_in_bound,nodes_per_elem) - edge = np.zeros((3,bound_subpx_coords_flat.shape[1]),dtype=np.float64) - edge[0,:] = edge_function(elem_raster_coords[1,:], - elem_raster_coords[2,:], - bound_subpx_coords_flat) - edge[1,:] = edge_function(elem_raster_coords[2,:], - elem_raster_coords[0,:], - bound_subpx_coords_flat) - edge[2,:] = edge_function(elem_raster_coords[0,:], - elem_raster_coords[1,:], - bound_subpx_coords_flat) - - # Now we check where the edge function is above zero for all edges - edge_check = np.zeros_like(edge,dtype=np.int8) - edge_check[edge >= 0.0] = 1 - edge_check = np.sum(edge_check, axis=0) - # Create a mask with the check, TODO check the 3 here for non triangles - edge_mask_flat = edge_check == 3 - edge_mask_grid = np.reshape(edge_mask_flat,bound_coords_grid_shape) - - # Calculate the weights for the masked pixels - edge_masked = edge[:,edge_mask_flat] - interp_weights = edge_masked / elem_area - - # Compute the depth of all pixels using hyperbolic interp - # NOTE: second index on raster coords is Z - px_coord_z = 1/(elem_raster_coords[0,2] * interp_weights[0,:] - + elem_raster_coords[1,2] * interp_weights[1,:] - + elem_raster_coords[2,2] * interp_weights[2,:]) - - field_interp = ((field_divide_z[0] * interp_weights[0,:] - + field_divide_z[1] * interp_weights[1,:] - + field_divide_z[2] * interp_weights[2,:]) - * px_coord_z) - - return (px_coord_z, - field_interp, - subpx_inds_grid_x[edge_mask_grid], - subpx_inds_grid_y[edge_mask_grid]) - - - @staticmethod - def raster_one_mesh(connect_in_frame: np.ndarray, - coords_raster: np.ndarray, - elem_bound_box_inds: np.ndarray, - elem_areas: np.ndarray, - field_frame_div_z: np.ndarray, - sub_samp: int, - image_buff_subpx: np.ndarray, - depth_buff_subpx: np.ndarray, - ) -> tuple[np.ndarray,np.ndarray]: - #connect_in_frame.shape=(num_elems,nodes_per_elem) - #coords_raster.shape=(num_coords,coord[x,y,z,w]) - #elem_bound_box_inds.shape=(num_elems,[min_x,max_x,min_y,max_y]) - #elem_areas.shape=(num_elems,) - #field_frame_divide_z=(num_coords,) - - for ee in range(connect_in_frame.shape[0]): - cc = connect_in_frame[ee,:] - - (px_coord_z, - field_interp, - subpx_inds_x_in, - subpx_inds_y_in) = RasterNP.raster_elem(coords_raster[cc,:], - elem_bound_box_inds[ee,:], - elem_areas[ee], - field_frame_div_z[cc], - sub_samp) - - - # Build a mask to replace the depth information if there is already an - # element in front of the one we are rendering - px_coord_z_depth_mask = (px_coord_z - < depth_buff_subpx[subpx_inds_y_in,subpx_inds_x_in]) - - # Initialise the z coord to the value in the depth buffer - px_coord_z_masked = depth_buff_subpx[subpx_inds_y_in,subpx_inds_x_in] - # Use the depth mask to overwrite the depth buffer values if points are in - # front of the values in the depth buffer - px_coord_z_masked[px_coord_z_depth_mask] = px_coord_z[px_coord_z_depth_mask] - - # Push the masked values into the depth buffer - depth_buff_subpx[subpx_inds_y_in,subpx_inds_x_in] = px_coord_z_masked - - # Mask the image buffer using the depth mask - image_buffer_depth_masked = image_buff_subpx[subpx_inds_y_in,subpx_inds_x_in] - image_buffer_depth_masked[px_coord_z_depth_mask] = field_interp[px_coord_z_depth_mask] - - # Push the masked values into the image buffer - image_buff_subpx[subpx_inds_y_in,subpx_inds_x_in] = image_buffer_depth_masked - - #--------------------------------------------------------------------------- - # END RASTER LOOP - return (image_buff_subpx,depth_buff_subpx) - - @staticmethod - def raster_frame(cam_ind: int, - frame_ind: int, - field_ind: int, - cam_data: CameraData, - meshes: list[RenderMesh], - opts: RasterOpts, - save_path: Path | None - ) -> np.ndarray | None: - - depth_buff_subpx = 1e5*cam_data.image_dist*np.ones(cam_data.sub_samp*cam_data.pixels_num).T - image_buff_subpx = np.full(cam_data.sub_samp*cam_data.pixels_num,0.0).T - - for mm in meshes: - # coords_raster.shape=(num_coords,coord[x,y,z,w]) - # connect_in_frame.shape=(num_elems_in_scene,nodes_per_elem) - # elem_bound_box_inds.shape=(num_elems_in_scene,4[x_min,x_max,y_min,y_max]) - # elem_areas.shape=(num_elems,) - (coords_raster, - connect_in_frame, - elem_bound_box_inds, - elem_areas) = RasterNP.setup_frame( - cam_data, - mm, - frame_ind, - ) - - # NOTE: the z coord has already been inverted in setup so we multiply here - render_field_div_z = (mm.fields_render[:,frame_ind,field_ind] - *coords_raster[:,2]) - - # image_buffer.shape=(num_px_y,num_px_x) - # depth_buffer.shape=(num_px_y,num_px_x) - (image_buff_subpx, - depth_buff_subpx) = RasterNP.raster_one_mesh( - connect_in_frame, - coords_raster, - elem_bound_box_inds, - elem_areas, - render_field_div_z, - cam_data.sub_samp, - image_buff_subpx, - depth_buff_subpx - ) - - - # TODO: make this configurable - image_buff_subpx[depth_buff_subpx > 1000*cam_data.image_dist] = np.nan - depth_buff_subpx[depth_buff_subpx > 1000*cam_data.image_dist] = np.nan - - # Average buffers - (image_buff_avg, - depth_buff_avg) = RasterNP.average_buffers(cam_data, - image_buff_subpx, - depth_buff_subpx) - - if save_path is None: - return image_buff_avg - - save_name = ImageTools.get_save_name(cam_ind,frame_ind,field_ind) - image_save_file = save_path/save_name - save_raster(image_save_file,image_buff_avg,depth_buff_avg,opts) - return None - - - - @staticmethod - def raster_scene(scene: RenderScene, - opts: RasterOpts, - save_path: Path | None = None, - ) -> list[np.ndarray] | None: - - # TODO: we assume the number of frames and fields is the same per camera - # Fix this - frames_num = scene.meshes[0].fields_render.shape[1] - field_num = scene.meshes[0].fields_render.shape[2] - - (cam_inds, - frame_inds, - field_inds) = np.meshgrid(np.arange(0,len(scene.cameras)), - np.arange(0,frames_num), - np.arange(0,field_num)) - - cam_inds = cam_inds.flatten() - frame_inds = frame_inds.flatten() - field_inds = field_inds.flatten() - frames_total = cam_inds.shape[0] - - - if save_path is None: - images = [] - for cc in scene.cameras: - images.append(np.empty((cc.pixels_num[1], - cc.pixels_num[0], - frames_num, - field_num))) - else: - images = None - if not save_path.is_dir(): - save_path.mkdir() - - - if opts.parallel is None: - for ff in range(0,frames_total): - image = RasterNP.raster_frame( - cam_inds[ff], - frame_inds[ff], - field_inds[ff], - scene.cameras[cam_inds[ff]], - scene.meshes, - opts, - save_path, - ) - - if images is not None: - images[cam_inds[ff]][:,:,frame_inds[ff],field_inds[ff]] = image - - else: - with Pool(opts.parallel) as pool: - processes_with_id = [] - - for ff in range(0,frames_total): - args = (cam_inds[ff], - frame_inds[ff], - field_inds[ff], - scene.cameras[cam_inds[ff]], - scene.meshes, - opts, - save_path) - - process = pool.apply_async( - RasterNP.raster_frame, args=args - ) - processes_with_id.append({"process": process, - "camera": cam_inds[ff], - "frame": frame_inds[ff], - "field": field_inds[ff]}) - - for pp in processes_with_id: - image = pp["process"].get() - if images is not None: - images[cam_inds[ff]][:,:,pp["frame"],pp["field"]] = image - - if images is not None: - return images - - return None - - - -#------------------------------------------------------------------------------- -def edge_function(vert_a: np.ndarray, - vert_b: np.ndarray, - vert_c: np.ndarray) -> np.ndarray: - - return ((vert_c[0] - vert_a[0]) * (vert_b[1] - vert_a[1]) - - (vert_c[1] - vert_a[1]) * (vert_b[0] - vert_a[0])) - -def edge_function_slice(vert_a: np.ndarray, - vert_b: np.ndarray, - vert_c: np.ndarray) -> np.ndarray: - - return ((vert_c[:,0] - vert_a[:,0]) * (vert_b[:,1] - vert_a[:,1]) - - (vert_c[:,1] - vert_a[:,1]) * (vert_b[:,0] - vert_a[:,0])) -#------------------------------------------------------------------------------- diff --git a/src/pyvale/sensorsim/rasteropts.py b/src/pyvale/sensorsim/rasteropts.py deleted file mode 100644 index e7601d628..000000000 --- a/src/pyvale/sensorsim/rasteropts.py +++ /dev/null @@ -1,58 +0,0 @@ -#=============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -#=============================================================================== -from pathlib import Path -from dataclasses import dataclass -import numpy as np -from pyvale.sensorsim.imagetools import EImageType, ImageTools - - -@dataclass(slots=True) -class RasterOpts: - - image_min_frac: float = 0.0 - image_max_frac: float = 1.0 - image_background_frac: float = 0.5 - image_bits: int = 16 - image_type: EImageType = EImageType.TIFF - - subsample: int = 2 - parallel: int = 4 - - force_static: bool = False - save_depth_array: bool = False - save_depth_image: EImageType | None = None - save_image_array: bool = False - - def __post_init__(self) -> None: - assert self.image_bits > 0, "Image bits must be greater than 0." - assert self.subsample > 0, "Subsampling must be larger than 0." - assert self.parallel > 0, "Number of parallel renders must be larger than 0" - -def save_raster(save_file: Path, - image_buff: np.ndarray, - depth_buff: np.ndarray, - opts: RasterOpts) -> None: - - ImageTools.scale_digitise_save(save_file, - image_buff, - opts.image_type, - opts.image_bits, - opts.image_min_frac, - opts.image_max_frac, - opts.image_background_frac) - - if opts.save_image_array: - np.save(save_file.with_suffix(".npy"),image_buff) - - if opts.save_depth_image is not None: - depth_path = save_file.with_stem(f"{save_file.stem}_depth") - ImageTools.scale_digitise_save(depth_path, - depth_buff, - opts.save_depth_image) - - if opts.save_depth_array: - depth_path = save_file.with_stem(f"{save_file.stem}_depth") - np.save(depth_path.with_suffix(".npy"),depth_buff) \ No newline at end of file diff --git a/src/pyvale/sensorsim/renderer.py b/src/pyvale/sensorsim/renderer.py deleted file mode 100644 index 07f123a7d..000000000 --- a/src/pyvale/sensorsim/renderer.py +++ /dev/null @@ -1,47 +0,0 @@ -#=============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -#=============================================================================== -from abc import ABC, abstractmethod -from pathlib import Path -import numpy as np -from pyvale.sensorsim.renderscene import RenderScene - -# NOTE: This module is a feature under developement. - -class IRenderer(ABC): - @abstractmethod - def render(self, - scene: RenderScene, - cam_ind: int = 0, - frame_ind: int = 0, - field_ind: int = 0) -> np.ndarray: - pass - - @abstractmethod - def render_to_disk(self, - scene: RenderScene, - cam_ind: int = 0, - frame_ind: int = 0, - field_ind: int = 0, - save_path: Path | None = None, - ) -> None: - pass - - @abstractmethod - def render_all(self, scene: RenderScene) -> list[np.ndarray]: - pass - - @abstractmethod - def render_all_to_disk(self, - scene: RenderScene, - save_path: Path | None = None) -> None: - pass - - - - - - - diff --git a/src/pyvale/sensorsim/rendermesh.py b/src/pyvale/sensorsim/rendermesh.py deleted file mode 100644 index 9bdae3755..000000000 --- a/src/pyvale/sensorsim/rendermesh.py +++ /dev/null @@ -1,137 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -# ============================================================================== - -""" -NOTE: this module is a feature under developement. -""" - -import numpy as np -from scipy.spatial.transform import Rotation -from pyvale.dataio.simdata import SimData -from pyvale.sensorsim.fieldconverter import simdata_to_pyvista_interp -from pyvale.sensorsim.enums import EDim - -# TODO: -# - Store the render field keys and match them between meshes? - - -class RenderMesh: - __slots__ = ("coords","connectivity","fields_render","fields_disp", - "pos_world","rot_world","node_count","elem_count", - "nodes_per_elem","mesh_to_world_mat","world_to_mesh_mat") - - def __init__(self, - coords: np.ndarray, - connectivity: np.ndarray, - fields_render: np.ndarray, - fields_disp: np.ndarray | None = None, - pos_world: np.ndarray | None = None, - rot_world: Rotation | None = None) -> None: - - self.coords = coords - self.connectivity = connectivity - self.fields_render = fields_render - self.fields_disp = fields_disp - - self.node_count = self.coords.shape[0] - self.elem_count = self.connectivity.shape[0] - self.nodes_per_elem = self.connectivity.shape[1] - - if pos_world is None: - self.pos_world = np.array((0.0,0.0,0.0),dtype=np.float64) - - if rot_world is None: - self.rot_world = Rotation.from_euler("zyx",(0.0,0.0,0.0),degrees=True) - - self.mesh_to_world_mat = np.zeros((4,4),dtype=np.float64) - self.world_to_mesh_mat = np.zeros((4,4),dtype=np.float64) - self._build_transform_mats() - - def _build_transform_mats(self) -> None: - self.mesh_to_world_mat = np.zeros((4,4)) - self.mesh_to_world_mat[0:3,0:3] = self.rot_world.as_matrix() - self.mesh_to_world_mat[-1,-1] = 1.0 - self.mesh_to_world_mat[0:3,-1] = self.pos_world - self.world_to_mesh_mat = np.linalg.inv(self.mesh_to_world_mat) - - def set_pos(self, pos_world: np.ndarray) -> None: - self.pos_world = pos_world - self._build_transform_mats() - - def set_rot(self, rot_world: Rotation) -> None: - self.rot_world = rot_world - self._build_transform_mats() - - - -def create_render_mesh(sim_data: SimData, - field_render_keys: tuple[str,...], - sim_spat_dim: EDim, - field_disp_keys: tuple[str,...] | None = None, - pos_world: np.ndarray | None = None, - rot_world: Rotation | None = None - ) -> RenderMesh: - - extract_keys = field_render_keys - if field_disp_keys is not None: - extract_keys = field_render_keys+field_disp_keys - - pv_grid = simdata_to_pyvista_interp(sim_data, - extract_keys, - spatial_dims=sim_spat_dim) - - pv_surf = pv_grid.extract_surface(algorithm='dataset_surface') - faces = np.array(pv_surf.faces) - - first_elem_nodes_per_face = faces[0] - nodes_per_face_vec = faces[0::(first_elem_nodes_per_face+1)] - - # TODO: CHECKS - # - Number of displacement keys match the spat_dim parameter - assert np.all(nodes_per_face_vec == first_elem_nodes_per_face), \ - "Not all elements in the simdata object have the same number of nodes per element" - - nodes_per_face = first_elem_nodes_per_face - num_faces = int(faces.shape[0] / (nodes_per_face+1)) - - # Reshape the faces table and slice off the first column which is just the - # number of nodes per element and should be the same for all elements - connectivity = np.reshape(faces,(num_faces,nodes_per_face+1)) - # shape=(num_elems,nodes_per_elem), C format - connectivity = np.ascontiguousarray(connectivity[:,1:],dtype=np.uintp) - - # shape=(num_nodes,3), C format - coords_world = np.array(pv_surf.points) - - # Add w coord=1, shape=(num_nodes,3+1) - coords_world= np.hstack((coords_world,np.ones([coords_world.shape[0],1]))) - - # shape=(num_nodes,num_time_steps,num_components) - field_render_shape = np.array(pv_surf[field_render_keys[0]]).shape - fields_render_by_node = np.zeros(field_render_shape+(len(field_render_keys),), - dtype=np.float64) - for ii,cc in enumerate(field_render_keys): - fields_render_by_node[:,:,ii] = np.ascontiguousarray( - np.array(pv_surf[cc])) - - - field_disp_by_node = None - if field_disp_keys is not None: - field_disp_shape = np.array(pv_surf[field_disp_keys[0]]).shape - # shape=(num_nodes,num_time_steps,num_components) - field_disp_by_node = np.zeros(field_disp_shape+(len(field_disp_keys),), - dtype=np.float64) - for ii,cc in enumerate(field_disp_keys): - field_disp_by_node[:,:,ii] = np.ascontiguousarray( - np.array(pv_surf[cc])) - - return RenderMesh(coords=coords_world, - connectivity=connectivity, - fields_render=fields_render_by_node, - fields_disp=field_disp_by_node, - pos_world=pos_world, - rot_world=rot_world) - diff --git a/src/pyvale/sensorsim/renderscene.py b/src/pyvale/sensorsim/renderscene.py deleted file mode 100644 index 5e6217d98..000000000 --- a/src/pyvale/sensorsim/renderscene.py +++ /dev/null @@ -1,51 +0,0 @@ - -#=============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2025 The Computer Aided Validation Team -#=============================================================================== -import numpy as np -from pyvale.sensorsim.cameradata import CameraData -from pyvale.sensorsim.rendermesh import RenderMesh - -#=============================================================================== -# TODO -# - How do we match render fields between meshes? -# - How do we check displacement fields are the same between meshes? -# - Eventually this will need to take render times and do the field interpolations -# - Check all render meshes to see if any are deformable - - -class RenderScene: - __slots__ = ("cameras","meshes") - - def __init__(self, - cameras: list[CameraData] | None = None, - meshes: list[RenderMesh] | None = None, - ) -> None: - if cameras is None: - self.cameras = [] - else: - self.cameras = cameras - - if meshes is None: - self.meshes = [] - else: - self.meshes = meshes - - def is_deformable(self) -> bool: - for mm in self.meshes: - if mm.fields_disp is not None: - return True - - return False - -def get_all_coords_world(meshes: list[RenderMesh]) -> np.ndarray: - coords_all = [] - for mm in meshes: - coords_all.append(np.matmul(mm.coords,mm.mesh_to_world_mat.T)) - - return np.vstack(coords_all) - - - diff --git a/src/pyvale/sensorsim/sensordescriptor.py b/src/pyvale/sensorsim/sensordescriptor.py index 3f5b83c94..69b5a6911 100644 --- a/src/pyvale/sensorsim/sensordescriptor.py +++ b/src/pyvale/sensorsim/sensordescriptor.py @@ -37,7 +37,7 @@ class SensorDescriptor: """ symbol: str = r"m" - """Symbol for describing the field the sensor measures. For example 'T' for + r"""Symbol for describing the field the sensor measures. For example 'T' for temperature of r'\epsilon' for strain. Latex symbols can be used with a raw string. """ diff --git a/src/pyvale/sensorsim/simtools.py b/src/pyvale/sensorsim/simtools.py index 6e037aff2..67f9c072c 100644 --- a/src/pyvale/sensorsim/simtools.py +++ b/src/pyvale/sensorsim/simtools.py @@ -13,7 +13,7 @@ import numpy as np from pyvale.dataio.simdata import SimData -from pyvale.sensorsim.rendermesh import RenderMesh +from pyvale.render.mesh import Mesh3D from pyvale.sensorsim.exceptions import Collapse2Dto3DError @@ -147,8 +147,10 @@ def centre_mesh_nodes(nodes: np.ndarray, spat_dim: int) -> np.ndarray: return centred -def get_deformed_nodes(timestep: int, - render_mesh: RenderMesh) -> np.ndarray | None: +def get_deformed_nodes( + timestep: int, + render_mesh: Mesh3D, +) -> np.ndarray | None: """A method to obtain the deformed locations of all the nodes at a given timestep. @@ -156,8 +158,8 @@ def get_deformed_nodes(timestep: int, ---------- timestep : int The timestep at which to find the deformed nodes. - render_mesh: RenderMeshData - A dataclass containing the skinned mesh and simulation results. + render_mesh: render.Mesh3D + A common render mesh with optional frame-major displacements. Returns ------- @@ -165,15 +167,10 @@ def get_deformed_nodes(timestep: int, An array containing the deformed values of all the components at each node location. Returns None if there are no deformation values. """ - if render_mesh.fields_disp is None: + if render_mesh.displacements is None: return None - added_disp = render_mesh.fields_disp[:, timestep] - if added_disp.shape[1] == 2: - added_disp = np.hstack((added_disp,np.zeros([added_disp.shape[0],1]))) - coords = np.delete(render_mesh.coords, 3, axis=1) - deformed_nodes = coords + added_disp - return deformed_nodes + return render_mesh.coords + render_mesh.displacements[timestep] def scale_length_units(scale: float, @@ -296,6 +293,3 @@ def is_sim_2D(coords_3d: np.ndarray) -> bool: return True return False - - - diff --git a/src/pyvale/sensorsim/visualopts.py b/src/pyvale/sensorsim/visualopts.py index 44b5c72e9..a143a441c 100644 --- a/src/pyvale/sensorsim/visualopts.py +++ b/src/pyvale/sensorsim/visualopts.py @@ -169,7 +169,7 @@ def __post_init__(self) -> None: @dataclass(slots=True) class TraceOptsSensor: - """Dataclass for controlling the appearance of sensor trace plots including + r"""Dataclass for controlling the appearance of sensor trace plots including axis labels, line styles and time over which to plot the sensor traces. Note that latex symbols can be used in label strings by using a python raw string . For example: r"strain, $\epsilon$ [-]". diff --git a/src/pyvale/sensorsim/visualsimplotter.py b/src/pyvale/sensorsim/visualsimplotter.py index c085e3707..cd81088dc 100644 --- a/src/pyvale/sensorsim/visualsimplotter.py +++ b/src/pyvale/sensorsim/visualsimplotter.py @@ -9,6 +9,7 @@ import pyvista as pv import pyvale.mooseherder as mh +import pyvale.dataio as io from pyvale.sensorsim.sensorspoint import SensorsPoint from pyvale.sensorsim.fieldconverter import simdata_to_pyvista_vis diff --git a/src/pyvale/valid/validation.py b/src/pyvale/valid/validation.py index aa710c002..2c7aff329 100644 --- a/src/pyvale/valid/validation.py +++ b/src/pyvale/valid/validation.py @@ -64,9 +64,8 @@ def extract_val_data_by_key( # Allocate a numpy array based on how many sensors we want to extract # and analyse - - for ss in iter_list: - + + #TODO: extract the val_points for each sensor list here. def extract_val_data_by_slice( exp_data: ExpData, diff --git a/src/pyvale/valid/valmetrics.py b/src/pyvale/valid/valmetrics.py index 535060bb4..b039aeb22 100644 --- a/src/pyvale/valid/valmetrics.py +++ b/src/pyvale/valid/valmetrics.py @@ -1,10 +1,8 @@ -''' -================================================================================ -pyvale: the python validation engine -License: MIT -Copyright (C) 2024 The Computer Aided Validation Team -================================================================================ -''' +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2024 The Computer Aided Validation Team +# ============================================================================== from typing import Any from dataclasses import dataclass from pathlib import Path @@ -99,8 +97,8 @@ def load_exp_data(data_path: Path, csv_files.pop(0) if load_opts.threads_num is not None: - assert load_opts.threads_num > 0, ("Number of threads must be greater - + "than 0.") + assert load_opts.threads_num > 0, ( + "Number of threads must be greater than 0.") with Pool(load_opts.threads_num) as pool: processes_with_id = [] diff --git a/src/pyvale/verif/pointsensmech.py b/src/pyvale/verif/pointsensmech.py index 70c8c2149..4fcdf405c 100644 --- a/src/pyvale/verif/pointsensmech.py +++ b/src/pyvale/verif/pointsensmech.py @@ -9,7 +9,7 @@ import pyvale.dataio as io import pyvale.verif.pointsens as pointsens import pyvale.verif.pointsensconst as pointsensconst -import pyvale.dataset as dataset +import pyvale.data as dataset """ DEVELOPER VERIFICATION MODULE diff --git a/src/pyvale/verif/pointsensmultiphys.py b/src/pyvale/verif/pointsensmultiphys.py index da8da5aa6..80927b34a 100644 --- a/src/pyvale/verif/pointsensmultiphys.py +++ b/src/pyvale/verif/pointsensmultiphys.py @@ -6,6 +6,7 @@ from pathlib import Path import copy import numpy as np +import pyvale.dataio as io import pyvale.mooseherder as mh import pyvale.sensorsim as sens import pyvale.verif.pointsens as pointsens @@ -13,7 +14,7 @@ import pyvale.verif.pointsensvector as pointsensvector import pyvale.verif.pointsenstensor as pointsenstensor import pyvale.verif.pointsensmech as pointsensmech -import pyvale.dataset as dataset +import pyvale.data as dataset def load_simdata_list(data_paths: list[Path], diff --git a/src/pyvale/verif/pointsensscalar.py b/src/pyvale/verif/pointsensscalar.py index 3d82c380f..df0fbc8c8 100644 --- a/src/pyvale/verif/pointsensscalar.py +++ b/src/pyvale/verif/pointsensscalar.py @@ -12,7 +12,7 @@ import pyvale.verif.pointsens as pointsens import pyvale.verif.pointsensconst as pointsensconst import pyvale.verif.analyticsimdatafactory as asd -import pyvale.dataset as dataset +import pyvale.data as dataset """ DEVELOPER VERIFICATION MODULE diff --git a/src/pyvale/verif/renderconformance.py b/src/pyvale/verif/renderconformance.py new file mode 100644 index 000000000..4a00231b4 --- /dev/null +++ b/src/pyvale/verif/renderconformance.py @@ -0,0 +1,247 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Shared small-image conformance scenes for every render backend.""" + +from dataclasses import dataclass +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.render as render +import riley + + +IMAGE_SIZE = 32 +CASE_NAMES = ("tri3_deforming", "tri3_shared_edge", "tri3_clipping") + + +@dataclass(frozen=True, slots=True) +class RenderConformanceCase: + """Geometry and two-frame in-plane motion for one conformance case.""" + + name: str + coords: np.ndarray + connectivity: np.ndarray + displacements: np.ndarray + + +def conformance_cases() -> tuple[RenderConformanceCase, ...]: + """Return the three canonical 32-pixel render conformance cases.""" + return ( + _translation_case(), + _shared_edge_case(), + _clipping_case(), + ) + + +def render_backend_case( + backend: str, + case: RenderConformanceCase, + output_dir: Path, +) -> np.ndarray: + """Render one canonical case through the requested backend.""" + renderers = { + "blender": _render_blender, + "feebee": _render_feebee, + "riley": _render_riley, + } + return renderers[backend](case, output_dir) + + +def feebee_scene(case: RenderConformanceCase) -> render.Scene3D: + """Build a case for validation before the Feebee backend lands.""" + mesh = _common_mesh( + case, + render.FeebeeColourShader( + np.full((2, len(case.connectivity), 3), 0.65), + ), + ) + return render.Scene3D([mesh], [_camera_3d()]) + + +def preview_range(backend: str) -> tuple[float, float]: + """Return the fixed intensity range for an 8-bit preview.""" + if backend == "blender": + return 0.0, 255.0 + return 0.0, 1.0 + + +def _translation_case() -> RenderConformanceCase: + coords = np.array( + ( + (-1.05, -0.85), + (0.85, -0.65), + (-0.35, 1.05), + ) + ) + displacement = np.tile((0.30, 0.20), (3, 1)) + return _case("tri3_deforming", coords, ((0, 1, 2),), displacement) + + +def _shared_edge_case() -> RenderConformanceCase: + coords = np.array( + ( + (-0.95, -0.95), + (0.95, -0.95), + (0.95, 0.95), + (-0.95, 0.95), + ) + ) + displacement = np.column_stack( + ( + 0.18 + 0.12 * coords[:, 0], + 0.10 - 0.08 * coords[:, 0], + ) + ) + return _case( + "tri3_shared_edge", + coords, + ((0, 1, 2), (0, 2, 3)), + displacement, + ) + + +def _clipping_case() -> RenderConformanceCase: + coords = np.array( + ( + (0.35, -0.75), + (1.35, -0.55), + (0.80, 0.75), + ) + ) + displacement = np.tile((0.55, 0.45), (3, 1)) + return _case("tri3_clipping", coords, ((0, 1, 2),), displacement) + + +def _case( + name: str, + coords: np.ndarray, + connectivity: tuple[tuple[int, ...], ...], + displacement: np.ndarray, +) -> RenderConformanceCase: + displacements = np.zeros((2, len(coords), 2), dtype=np.float64) + displacements[1] = displacement + return RenderConformanceCase( + name, + np.ascontiguousarray(coords, dtype=np.float64), + np.asarray(connectivity, dtype=np.intp), + displacements, + ) + + +def _camera_3d() -> render.Camera: + return render.Camera( + pixels_num=np.array((IMAGE_SIZE, IMAGE_SIZE)), + pixels_size=np.array((0.1, 0.1)), + pos_world=np.array((0.0, 0.0, 2.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=2.0, + ) + + +def _common_mesh(case: RenderConformanceCase, shader: object) -> render.Mesh3D: + return render.Mesh3D( + render.EElementType.TRI3, + np.pad(case.coords, ((0, 0), (0, 1))), + case.connectivity, + shader, + np.pad(case.displacements, ((0, 0), (0, 0), (0, 1))), + ) + + +def _render_blender( + case: RenderConformanceCase, + output_dir: Path, +) -> np.ndarray: + texture = np.linspace(80, 220, 64, dtype=np.uint8).reshape((8, 8)) + shader = render.BlenderImageShader(texture, 0.4) + mesh = _common_mesh(case, shader) + light = render.Light( + render.ELightType.POINT, + np.array((-0.8, 0.7, 2.5)), + np.array((0.0, 0.0, -1.0)), + 1.0, + ) + config = render.BlenderConfig( + output_dir, + device=render.EBlenderDevice.CPU, + samples=32, + max_bounces=2, + threads=1, + render_deformed=True, + seed=0, + use_denoising=False, + use_adaptive_sampling=False, + ) + result = render.Blender(config).render( + render.Scene3D([mesh], [_camera_3d()], [light]), + ) + assert result.images is not None + return result.images + + +def _render_feebee( + case: RenderConformanceCase, + output_dir: Path, +) -> np.ndarray: + del output_dir + mesh = _common_mesh( + case, + render.FeebeeColourShader( + np.full((2, len(case.connectivity), 3), 0.65), + ), + ) + result = render.Feebee().render(render.Scene3D([mesh], [_camera_3d()])) + assert result.images is not None + return result.images + + +def _render_riley( + case: RenderConformanceCase, + output_dir: Path, +) -> np.ndarray: + del output_dir + params = riley.FuncShaderParams( + linear_coeffs=(0.55, 0.12, -0.08), + ) + mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=np.pad(case.coords, ((0, 0), (0, 1))), + connectivity=case.connectivity, + displacements=np.pad( + case.displacements, + ((0, 0), (0, 0), (0, 1)), + ), + shader=render.RileyFunctionShader( + builtin=riley.FuncShaderBuiltin.linear, + coord_mode=riley.FuncCoordMode.world_reference, + parameters=params, + ), + ) + config = riley.create_raster_config( + 2, + total_threads=1, + save_strategy=riley.SaveStrategy.memory, + ) + config.background_value = 0.15 + result = render.Riley(config).render( + render.Scene3D([mesh], [_camera_3d()]), + ) + assert result.images is not None + return result.images + + +__all__ = [ + "CASE_NAMES", + "IMAGE_SIZE", + "RenderConformanceCase", + "conformance_cases", + "feebee_scene", + "preview_range", + "render_backend_case", +] diff --git a/src/pyvale/verif/renderverif.py b/src/pyvale/verif/renderverif.py new file mode 100644 index 000000000..76082ffb1 --- /dev/null +++ b/src/pyvale/verif/renderverif.py @@ -0,0 +1,218 @@ +#=============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +#=============================================================================== + +""" +DEVELOPER VERIFICATION MODULE +-------------------------------------------------------------------------------- +This module contains developer utility functions used for verification testing +of the render toolbox in pyvale. + +Specifically, this module contains hard-coded verification scenes, packaged- +case loaders shared between the gold generation scripts and the render tests, +and image-regression assertions. +""" + +from pathlib import Path +import re + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.dataio as io +import pyvale.mooseherder as mooseherder +import pyvale.render as render +import pyvale.sensorsim as sensorsim +import riley + + +def assert_render_allclose( + actual: np.ndarray, + reference: np.ndarray, + case_ident: str, + *, + rtol: float = 1.0e-9, + atol: float = 1.0e-9, +) -> None: + """Assert image equality and save useful diagnostics when it fails. + + Parameters + ---------- + actual, reference : numpy.ndarray + Rendered and trusted reference image arrays with matching shapes. + case_ident : str + Stable case identifier used for the failure output directory. + rtol, atol : float, optional + Relative and absolute tolerances passed to :func:`numpy.allclose`. + + Raises + ------ + AssertionError + If arrays differ. Raw NumPy diagnostics are saved to + ``render-fails/`` before the error is raised. Scaled TIFF + images are also saved when Pillow is installed. + """ + if np.allclose(actual, reference, rtol=rtol, atol=atol): + return + + directory = Path("render-fails") / _safe_case_ident(case_ident) + directory.mkdir(parents=True, exist_ok=True) + + difference = np.asarray(actual, dtype=np.float64) - np.asarray( + reference, dtype=np.float64, + ) + np.save(directory / "render.npy", actual) + np.save(directory / "reference.npy", reference) + np.save(directory / "difference.npy", difference) + + if _pil_image() is not None: + actual_image, reference_image, difference_image = _select_images( + actual, reference, difference, + ) + lower = min(np.nanmin(actual_image), np.nanmin(reference_image)) + upper = max(np.nanmax(actual_image), np.nanmax(reference_image)) + _save_tiff(directory / "render.tiff", actual_image, lower, upper) + _save_tiff(directory / "reference.tiff", reference_image, lower, upper) + _save_tiff( + directory / "difference.tiff", difference_image, + float(np.nanmin(difference_image)), float(np.nanmax(difference_image)), + ) + + maximum = float(np.nanmax(np.abs(difference))) + raise AssertionError( + f"Render mismatch for {case_ident}; maximum absolute difference " + f"is {maximum:.6e}. Diagnostics: {directory}", + ) + + +def _pil_image() -> object | None: + """Return the Pillow Image class or None when Pillow is not installed.""" + try: + from PIL import Image + except ImportError: + return None + return Image + + +def _safe_case_ident(case_ident: str) -> str: + """Return a portable directory name from a descriptive case identifier.""" + return re.sub(r"[^A-Za-z0-9_.-]+", "_", case_ident).strip("_") + + +def _select_images( + actual: np.ndarray, + reference: np.ndarray, + difference: np.ndarray, +) -> tuple[np.ndarray, np.ndarray, np.ndarray]: + """Select the two-dimensional plane containing the largest difference.""" + if difference.ndim == 2: + return actual, reference, difference + if difference.ndim < 2: + return actual.reshape(1, -1), reference.reshape(1, -1), difference.reshape(1, -1) + + image_shape = difference.shape[-2:] + difference_planes = difference.reshape((-1, *image_shape)) + plane_index = int(np.argmax(np.max(np.abs(difference_planes), axis=(1, 2)))) + return ( + actual.reshape((-1, *image_shape))[plane_index], + reference.reshape((-1, *image_shape))[plane_index], + difference_planes[plane_index], + ) + + +def _save_tiff(path: Path, image: np.ndarray, lower: float, upper: float) -> None: + """Save one array as a full-range unsigned 8-bit diagnostic TIFF.""" + image_class = _pil_image() + if image_class is None: + return + if not np.isfinite(lower) or not np.isfinite(upper) or upper <= lower: + scaled = np.zeros(image.shape, dtype=np.uint8) + else: + scaled = np.clip((image - lower) / (upper - lower), 0.0, 1.0) + scaled = np.rint(255.0 * scaled).astype(np.uint8) + image_class.fromarray(scaled).save(path) + + +def render_triangle(output_dir: Path) -> np.ndarray: + """Render the deterministic common-API Blender triangle scene.""" + mesh = render.Mesh3D( + render.EElementType.TRI3, + np.array(((-1.0, -1.0, 0.0), (1.0, -1.0, 0.0), + (0.0, 1.0, 0.0))), + np.array(((0, 1, 2),)), object(), + ) + camera = render.Camera( + pixels_num=np.array((32, 32)), + pixels_size=np.array((0.02, 0.02)), + pos_world=np.array((0.0, 0.0, 2.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=1.0, + ) + result = render.Blender(render.BlenderConfig(output_dir, samples=1)).render( + render.Scene3D([mesh], [camera]), + ) + assert result.images is not None + return result.images + + +def riley_memory_config() -> riley.RasterConfig: + """Return a single-frame Riley raster configuration kept in memory.""" + return riley.create_raster_config( + 1, save_strategy=riley.SaveStrategy.memory, + ) + + +def riley_rabbit_scene() -> render.Scene3D: + """Build the committed multi-mesh rabbit regression scene. + + Returns + ------- + render.Scene3D + The packaged TRI3 rabbit meshes viewed by a camera filled from + their combined extent. + """ + meshes = dataset.riley_rabbit_meshes() + coords = np.concatenate([mesh.coords for mesh in meshes]) + pixels_num = np.array((320, 160)) + pixels_size = np.array((5.3e-6, 5.3e-6)) + focal_length = 50.0e-3 + rotation = Rotation.identity() + position = render.cam_pos_frame_points( + coords, + pixels_num, + pixels_size, + focal_length, + rotation, + fov_scale=1.1, + ) + camera = render.Camera( + pixels_num=pixels_num, + pixels_size=pixels_size, + pos_world=np.asarray(position), + rot_world=rotation, + roi_cent_world=np.mean(coords, axis=0), + focal_length=focal_length, + ) + return render.Scene3D(meshes, [camera]) + + +def scaled_mechanical_2d() -> io.SimData: + """Load the mechanical 2D case scaled to millimetres for Blender scenes.""" + sim_data = mooseherder.ExodusLoader( + dataset.mechanical_2d_path(), + ).load_all_sim_data() + sensorsim.scale_length_units(1000.0, sim_data, ("disp_x", "disp_y")) + return sim_data + + +__all__ = [ + "assert_render_allclose", + "render_triangle", + "riley_memory_config", + "riley_rabbit_scene", + "scaled_mechanical_2d", +] diff --git a/tests/blender/2D_gold/bounces_hundred.npy 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b/tests/blender/test_blenderregression_2D.py deleted file mode 100644 index c8e174e68..000000000 --- a/tests/blender/test_blenderregression_2D.py +++ /dev/null @@ -1,401 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2026 The Computer Aided Validation Team -# ============================================================================== -from pathlib import Path -import numpy as np -import numpy.testing as npt -import pytest -from scipy.spatial.transform import Rotation - -import pyvale.blender as blender -import pyvale.dataset as dataset -import pyvale.mooseherder as mh -import pyvale.sensorsim as sens - -GOLD_DIR = Path(__file__).parent / "2D_gold" - - -@pytest.fixture -def sample_scene(): - data_path = dataset.mechanical_2d_path() - sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - disp_comps = ("disp_x", "disp_y") - sim_data = sens.scale_length_units(1000.0, sim_data, disp_comps) - render_mesh = sens.create_render_mesh( - sim_data, - ("disp_y", "disp_x"), - sim_spat_dim=sens.EDim.TWOD, - field_disp_keys=disp_comps, - ) - - scene = blender.Scene() - part = scene.add_part(render_mesh, sim_spat_dim=3) - cam_data = sens.CameraData( - pixels_num=np.array([20, 20]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=(0, 0, 500), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15, - ) - camera = scene.add_camera(cam_data) - light_data = blender.LightData( - type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - energy=1, - ) - light = scene.add_light(light_data) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution, - ) - return render_mesh, part, cam_data, scene - - -@pytest.fixture -def sample_scene_no_light(): - data_path = dataset.mechanical_2d_path() - sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - disp_comps = ("disp_x", "disp_y") - sim_data = sens.scale_length_units(1000.0, sim_data, disp_comps) - render_mesh = sens.create_render_mesh( - sim_data, - ("disp_y", "disp_x"), - sim_spat_dim=sens.EDim.TWOD, - field_disp_keys=disp_comps, - ) - - scene = blender.Scene() - part = scene.add_part(render_mesh, sim_spat_dim=3) - cam_data = sens.CameraData( - pixels_num=np.array([20, 20]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=(0, 0, 500), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15, - ) - camera = scene.add_camera(cam_data) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution, - ) - return cam_data, scene - - -@pytest.fixture -def sample_scene_no_cam(): - data_path = dataset.mechanical_2d_path() - sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - disp_comps = ("disp_x", "disp_y") - sim_data = sens.scale_length_units(1000.0, sim_data, disp_comps) - render_mesh = sens.create_render_mesh( - sim_data, - ("disp_y", "disp_x"), - sim_spat_dim=2, - field_disp_keys=disp_comps, - ) - - scene = blender.Scene() - part = scene.add_part(render_mesh, sim_spat_dim=3) - light_data = blender.LightData( - type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - energy=1, - ) - light = scene.add_light(light_data) - - return part, scene - - -# ------------------------------------------------------------------------------ -# Gold Fixtures loading from 2D_gold directory -# ------------------------------------------------------------------------------ -@pytest.fixture -def half_watt_lighting(): - return np.load(GOLD_DIR / "half_watt_lighting.npy") - - -@pytest.fixture -def three_watt_lighting(): - return np.load(GOLD_DIR / "three_watt_lighting.npy") - - -@pytest.fixture -def vertical_cam(): - return np.load(GOLD_DIR / "vertical_cam.npy") - - -@pytest.fixture -def horizontal_cam(): - return np.load(GOLD_DIR / "horizontal_cam.npy") - - -@pytest.fixture -def cam_from_resolution(): - return np.load(GOLD_DIR / "cam_from_resolution.npy") - - -@pytest.fixture -def samples_four(): - return np.load(GOLD_DIR / "samples_four.npy") - - -@pytest.fixture -def samples_twelve(): - return np.load(GOLD_DIR / "samples_twelve.npy") - - -@pytest.fixture -def bounces_two(): - return np.load(GOLD_DIR / "bounces_two.npy") - - -@pytest.fixture -def bounces_hundred(): - return np.load(GOLD_DIR / "bounces_hundred.npy") - - -@pytest.fixture -def cycles_engine(): - return np.load(GOLD_DIR / "cycles_engine.npy") - - -@pytest.fixture -def eevee_engine(): - return np.load(GOLD_DIR / "eevee_engine.npy") - - -@pytest.fixture -def deformed_images(): - return np.load(GOLD_DIR / "deformed_images.npy") - - -# ------------------------------------------------------------------------------ -# Regression test suites -# ------------------------------------------------------------------------------ -@pytest.mark.parametrize( - "energy, output", - [ - pytest.param(0.5, "half_watt_lighting", id="Normal lighting - 0.5W"), - pytest.param(3, "three_watt_lighting", id="Normal lighting - 3W"), - ], -) -def test_lighting_energy( - energy, output, sample_scene_no_light, request, tmp_path -): - cam_data, scene = sample_scene_no_light - light_data = blender.LightData( - type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - energy=energy, - ) - light = scene.add_light(light_data) - render_data = blender.RenderData(cam_data=cam_data, base_dir=tmp_path) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - output = request.getfixturevalue(output) - - npt.assert_allclose(image_array, output, atol=2, rtol=0) - - -@pytest.mark.parametrize( - "pixels_num, output", - [ - pytest.param( - np.array([10, 20]), - "vertical_cam", - id="Vertical camera orientation", - ), - pytest.param( - np.array([20, 10]), - "horizontal_cam", - id="Horizontal camera orientation", - ), - ], -) -def test_camera_shape( - pixels_num, output, request, sample_scene_no_cam, tmp_path -): - part, scene = sample_scene_no_cam - cam_data = sens.CameraData( - pixels_num=pixels_num, - pixels_size=np.array([0.00345, 0.00345]), - pos_world=(0, 0, 500), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15, - ) - camera = scene.add_camera(cam_data) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution, - ) - render_data = blender.RenderData(cam_data=cam_data, base_dir=tmp_path) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - output = request.getfixturevalue(output) - - npt.assert_allclose(image_array, output, atol=2, rtol=0) - - -def test_camera_from_resolution( - sample_scene_no_cam, cam_from_resolution, tmp_path -): - part, scene = sample_scene_no_cam - pixels_num = np.array([20, 20]) - pixels_size = np.array([0.00345, 0.00345]) - working_dist = 500 - resolution = 0.1 - cam_data = sens.CameraTools.blender_camera_from_resolution( - pixels_num, pixels_size, working_dist, resolution - ) - cam = scene.add_camera(cam_data) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution, - ) - render_data = blender.RenderData(cam_data=cam_data, base_dir=tmp_path) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - - npt.assert_allclose(image_array, cam_from_resolution, atol=2, rtol=0) - - -def test_deformation(sample_scene, deformed_images, tmp_path): - (render_mesh, part, cam_data, scene) = sample_scene - render_data = blender.RenderData(cam_data=cam_data, base_dir=tmp_path) - image_arrays = scene.render_deformed_images( - render_mesh, - sim_spat_dim=3, - render_data=render_data, - part=part, - stage_image=True, - ) - - npt.assert_allclose(image_arrays[:, :, 10], deformed_images, atol=2, rtol=0) - - -@pytest.mark.parametrize( - "samples, output", - [ - pytest.param(4, "samples_four", id="Normal sample number - 4"), - pytest.param(12, "samples_twelve", id="Normal sample number - 12"), - ], -) -def test_samples_happy(samples, output, request, sample_scene, tmp_path): - (_, _, cam_data, scene) = sample_scene - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path, samples=samples - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - output = request.getfixturevalue(output) - - npt.assert_allclose(image_array, output, atol=2, rtol=0) - - -def test_samples_unhappy(sample_scene, tmp_path): - samples = 2.5 - (_, _, cam_data, scene) = sample_scene - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path, samples=samples - ) - with pytest.raises(TypeError): - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - - -@pytest.mark.parametrize( - "bounces, output", - [ - pytest.param(2, "bounces_two", id="Normal bounces number - 2"), - pytest.param(100, "bounces_hundred", id="Normal bounces number -100"), - ], -) -def test_max_bounces_happy(bounces, output, request, sample_scene, tmp_path): - (_, _, cam_data, scene) = sample_scene - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path, max_bounces=bounces - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - output = request.getfixturevalue(output) - - npt.assert_allclose(image_array, output, atol=2, rtol=0) - - -def test_max_bounces_unhappy(sample_scene, tmp_path): - bounces = 2.5 - (_, _, cam_data, scene) = sample_scene - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path, max_bounces=bounces - ) - with pytest.raises(TypeError): - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - - -@pytest.mark.parametrize( - "engine, output", - [ - pytest.param( - blender.RenderEngine.CYCLES, - "cycles_engine", - id="Cycles render engine", - ), - pytest.param( - blender.RenderEngine.EEVEE, - "eevee_engine", - id="Eevee render engine", - ), - ], -) -def test_render_engine(engine, output, request, sample_scene, tmp_path): - (_, _, cam_data, scene) = sample_scene - if engine == blender.RenderEngine.EEVEE: - gpu_present = blender.Tools.check_for_GPU() - if gpu_present is False: - pytest.skip("Unsupported hardware for EEVEE") - - render_data = blender.RenderData( - cam_data=cam_data, base_dir=tmp_path, engine=engine - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - output = request.getfixturevalue(output) - - npt.assert_allclose(image_array, output, atol=2, rtol=0) diff --git a/tests/blender/test_blenderregression_3D.py b/tests/blender/test_blenderregression_3D.py deleted file mode 100644 index 69dc32806..000000000 --- a/tests/blender/test_blenderregression_3D.py +++ /dev/null @@ -1,199 +0,0 @@ -# ============================================================================== -# pyvale: the python validation engine -# License: MIT -# Copyright (C) 2026 The Computer Aided Validation Team -# ============================================================================== -from pathlib import Path -import numpy as np -import numpy.testing as npt -import pytest -import yaml -from scipy.spatial.transform import Rotation - -import pyvale.blender as blender -import pyvale.dataset as dataset -import pyvale.mooseherder as mh -import pyvale.sensorsim as sens - -GOLD_DIR = Path(__file__).parent / "3D_gold" - - -@pytest.fixture -def sample_scene_no_cam(): - data_path = dataset.mechanical_2d_path() - sim_data = mh.ExodusLoader(data_path).load_all_sim_data() - disp_comps = ("disp_x", "disp_y") - sim_data = sens.scale_length_units(1000.0, sim_data, disp_comps) - render_mesh = sens.create_render_mesh( - sim_data, - ("disp_y", "disp_x"), - sim_spat_dim=sens.EDim.TWOD, - field_disp_keys=disp_comps, - ) - - scene = blender.Scene() - part = scene.add_part(render_mesh, sim_spat_dim=3) - light_data = blender.LightData( - type=blender.LightType.POINT, - pos_world=(0, 0, 400), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - energy=1, - ) - light = scene.add_light(light_data) - cam_data_0 = sens.CameraData( - pixels_num=np.array([20, 20]), - pixels_size=np.array([0.00345, 0.00345]), - pos_world=np.array([0, 0, 500]), - rot_world=Rotation.from_euler("xyz", [0, 0, 0]), - roi_cent_world=(0, 0, 0), - focal_length=15, - ) - material_data = blender.MaterialData() - speckle_path = dataset.dic_pattern_5mpx_path() - mm_px_resolution = sens.CameraTools.calculate_mm_px_resolution(cam_data_0) - scene.add_speckle( - part=part, - speckle_path=speckle_path, - mat_data=material_data, - mm_px_resolution=mm_px_resolution, - ) - return cam_data_0, part, render_mesh, scene - - -@pytest.fixture -def sample_stereo_scene(sample_scene_no_cam): - cam_data_0, part, render_mesh, scene = sample_scene_no_cam - stereo_system = sens.CameraTools.faceon_stereo_cameras( - cam_data_0=cam_data_0, stereo_angle=15.0 - ) - cam0, cam1 = scene.add_stereo_system(stereo_system) - return (stereo_system, part, render_mesh, scene) - - -# ------------------------------------------------------------------------------ -# Gold Fixtures loading from 3D_gold directory -# ------------------------------------------------------------------------------ -@pytest.fixture -def stereo_symmetric(): - return np.load(GOLD_DIR / "stereo_symmetric.npy") - - -@pytest.fixture -def stereo_faceon(): - return np.load(GOLD_DIR / "stereo_faceon.npy") - - -@pytest.fixture -def deformed_images(): - return np.load(GOLD_DIR / "deformed_images.npy") - - -@pytest.fixture -def calib_dict(): - yaml_path = GOLD_DIR / "calib_dict.yaml" - with open(yaml_path, "r") as f: - return yaml.safe_load(f) - - -# ------------------------------------------------------------------------------ -# Regression test suites -# ------------------------------------------------------------------------------ -@pytest.mark.parametrize( - "placement, output", - [ - pytest.param( - "symmetric", "stereo_symmetric", id="Symmetric convenience function" - ), - pytest.param( - "faceon", "stereo_faceon", id="Face-on convenience function" - ), - ], -) -def test_stereo_convenience_cameras( - placement, output, request, sample_scene_no_cam, tmp_path -): - (cam_data_0, _, _, scene) = sample_scene_no_cam - if placement == "symmetric": - stereo_system = sens.CameraTools.symmetric_stereo_cameras( - cam_data_0=cam_data_0, stereo_angle=15.0 - ) - elif placement == "faceon": - stereo_system = sens.CameraTools.faceon_stereo_cameras( - cam_data_0=cam_data_0, stereo_angle=15.0 - ) - cam0, cam1 = scene.add_stereo_system(stereo_system) - render_data = blender.RenderData( - cam_data=(stereo_system.cam_data_0, stereo_system.cam_data_1), - base_dir=tmp_path, - ) - image_array = scene.render_single_image( - stage_image=True, render_data=render_data - ) - output = request.getfixturevalue(output) - - npt.assert_allclose(image_array, output, atol=2, rtol=0) - - -def test_stereo_deformation(sample_stereo_scene, deformed_images, tmp_path): - (stereo_system, part, render_mesh, scene) = sample_stereo_scene - render_data = blender.RenderData( - cam_data=(stereo_system.cam_data_0, stereo_system.cam_data_1), - base_dir=tmp_path, - ) - image_arrays = scene.render_deformed_images( - render_mesh=render_mesh, - sim_spat_dim=3, - render_data=render_data, - part=part, - stage_image=True, - ) - image_array = image_arrays[:, :, 120:] - npt.assert_allclose(image_array, deformed_images, atol=2, rtol=0) - - -def test_cal_images(): - calibration_data = blender.CalibrationData( - angle_lims=(-10, 10), - angle_step=5, - plunge_lims=(-5, 5), - plunge_step=5, - ) - number_cal_images = blender.Tools.number_calibration_images( - calibration_data - ) - - assert number_cal_images == 675 - - -def test_calib_file(tmp_path, sample_stereo_scene, calib_dict): - (stereo_system, _, _, _) = sample_stereo_scene - - stereo_system.save_calibration(base_dir=tmp_path) - - output = tmp_path / "calibration/calibration.yaml" - output_dict = yaml.safe_load(output.read_text()) - - assert calib_dict == output_dict - - -def test_cameras_from_calib(tmp_path, sample_stereo_scene): - (stereo_system, _, _, _) = sample_stereo_scene - stereo_system.save_calibration(base_dir=tmp_path) - - output = tmp_path / "calibration/calibration.yaml" - - params = yaml.safe_load(output.read_text()) - - camerastereo = sens.CameraStereo.from_calibration( - calib_path=output, - pos_world_0=np.array([0, 0, 500]), - rot_world_0=Rotation.from_euler("xyz", [0, 0, 0]), - focal_length=15.0, - ) - - npt.assert_array_almost_equal( - camerastereo.stereo_dist, stereo_system.stereo_dist - ) - assert camerastereo.stereo_rotation.approx_equal( - stereo_system.stereo_rotation - ) diff --git a/tests/data/test_dataset.py b/tests/data/test_dataset.py new file mode 100644 index 000000000..3ebcfadfd --- /dev/null +++ b/tests/data/test_dataset.py @@ -0,0 +1,21 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Tests for the consolidated packaged-data namespace.""" + +import pyvale.data as dataset + + +def test_dataset_accessors_resolve_consolidated_resources() -> None: + """Public accessors resolve assets below the single data package.""" + paths = ( + dataset.mechanical_2d_path(), + dataset.sim_case_input_file_path(17), + dataset.sim_case_gmsh_file_path(17), + dataset.dic_plate_with_hole_cam0_ref(), + dataset.dic_pattern_5mpx_path(), + dataset.cal_target(), + ) + assert all(path is not None and path.exists() for path in paths) diff --git a/tests/dataio/meshtools_test.py b/tests/dataio/meshtools_test.py index 63a115748..766549f27 100644 --- a/tests/dataio/meshtools_test.py +++ b/tests/dataio/meshtools_test.py @@ -8,8 +8,22 @@ import pytest import pyvale.dataio as io +import pyvale.dataio.meshconv as meshconv import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset + + +_SUPPORTED_CUBE_ELEMENTS = ( + dataset.EElemTest.TET4, + dataset.EElemTest.TET10, + dataset.EElemTest.HEX8, + dataset.EElemTest.HEX20, + dataset.EElemTest.HEX27, +) + + +def test_meshconv_adapter_exposes_riley_element_symmetries() -> None: + assert len(meshconv.ELEMENT_SYMMETRIES[meshconv.EElementType.HEX27]) == 24 def _quad_coords() -> np.ndarray: @@ -134,9 +148,98 @@ def test_check_mesh_convention_passes_for_canonical_quad() -> None: check = io.check_mesh_convention(mesh) - assert check.is_valid - assert check.failed_checks == tuple() - assert check.connectivity_failures["connect1"] == tuple() + assert check == {} + assert io.check_mesh_convention is meshconv.check_mesh_convention + + +def test_element_specs_are_reexported_from_riley_adapter() -> None: + assert io.ELEMENT_SPECS is meshconv.ELEMENT_SPECS + assert ( + io.ELEMENT_SPECS[io.EElementType.TRI6].surf_reverse_perm + == (0, 2, 1, 5, 4, 3) + ) + + with pytest.raises(TypeError): + io.ELEMENT_SPECS[io.EElementType.TRI3] = ( + io.ELEMENT_SPECS[io.EElementType.TRI3] + ) + + +def test_mesh_convention_is_reexported_and_applied_by_adapter() -> None: + coords = np.array( + ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0), (0.0, 1.0, 0.0)), + dtype=np.float64, + ) + convention = io.MeshConvention({ + io.EElementType.TRI3: (1, 2, 0), + }) + mesh = io.SimData( + num_spat_dims=2, + mesh_type=io.EMeshType.SURF, + coords=coords, + connect={"connect1": np.array(((2, 0, 1),), dtype=np.int64)}, + ) + + mesh_out = io.enforce_mesh_convention(mesh, convention) + + assert mesh_out.connect is not None + assert np.array_equal( + mesh_out.connect["connect1"], + np.array(((0, 1, 2),), dtype=np.int64), + ) + + +def test_sim_data_classifies_quad4_as_a_surface_mesh() -> None: + mesh = io.SimData( + coords=_quad_coords(), + connect={"connect1": np.array(((0, 1, 2, 3),), dtype=np.int64)}, + ) + + assert mesh.mesh_type is io.EMeshType.SURF + assert not io.is_volume_mesh(mesh) + + +def test_sim_data_classifies_curved_quad8_as_a_surface_mesh() -> None: + coords = np.array( + ( + (0.0, 0.0, 0.0), + (1.0, 0.0, 0.0), + (1.0, 1.0, 0.0), + (0.0, 1.0, 0.0), + (0.5, 0.02, 0.0), + (1.0, 0.5, 0.02), + (0.5, 0.98, 0.0), + (0.0, 0.5, -0.02), + ), + dtype=np.float64, + ) + mesh = io.SimData( + coords=coords, + connect={"connect1": np.arange(8, dtype=np.int64).reshape(1, -1)}, + ) + + assert mesh.mesh_type is io.EMeshType.SURF + assert not io.is_volume_mesh(mesh) + + +@pytest.mark.parametrize( + "element_type", + (dataset.EElemTest.TET4, dataset.EElemTest.HEX8), +) +def test_exodus_loader_classifies_volume_meshes( + element_type: dataset.EElemTest, +) -> None: + mesh = mh.ExodusLoader( + dataset.element_case_output_path(element_type), + ).load_all_sim_data() + + assert mesh.mesh_type is io.EMeshType.VOL + assert io.is_volume_mesh(mesh) + + surface = io.extract_surf_mesh(mesh) + + assert surface.mesh_type is io.EMeshType.SURF + assert not io.is_volume_mesh(surface) def test_enforce_mesh_convention_corrects_legacy_connectivity() -> None: @@ -149,6 +252,7 @@ def test_enforce_mesh_convention_corrects_legacy_connectivity() -> None: mesh_out = io.enforce_mesh_convention(mesh) assert mesh_out is not mesh + assert mesh_out.mesh_type is io.EMeshType.SURF assert mesh_out.connect is not None assert mesh_out.connect["connect1"].shape == (1, 4) assert np.array_equal(mesh_out.connect["connect1"], np.array(((0, 1, 2, 3),))) @@ -163,10 +267,12 @@ def test_check_mesh_convention_reports_failed_checks() -> None: check = io.check_mesh_convention(mesh) - assert not check.is_valid - assert "zero_based_indexing" in check.failed_checks - assert "row_major_connectivity" in check.failed_checks - assert "ccw_winding" in check.failed_checks + assert check["connect1"] == [ + io.MeshCheckCode.ROW_MAJOR_CONNECTIVITY, + io.MeshCheckCode.ZERO_BASED_INDEXING, + io.MeshCheckCode.CCW_WINDING, + io.MeshCheckCode.RIGHT_HANDED_GEOMETRY, + ] def test_enforce_mesh_convention_raises_for_invalid_indices() -> None: @@ -187,12 +293,12 @@ def test_check_and_enforce_winding_for_quads() -> None: connect={"connect1": np.array(((0, 3, 2, 1),), dtype=np.int64)}, ) - assert io.check_cw_winding(mesh) - assert not io.check_ccw_winding(mesh) + check = io.check_mesh_convention(mesh) + assert io.MeshCheckCode.CCW_WINDING in check["connect1"] - mesh_out = io.enforce_ccw_winding(mesh) + mesh_out = io.enforce_mesh_convention(mesh) - assert io.check_ccw_winding(mesh_out) + assert not io.check_mesh_convention(mesh_out) assert np.array_equal(mesh_out.connect["connect1"], np.array(((0, 1, 2, 3),))) @@ -204,14 +310,78 @@ def test_enforce_mesh_convention_fixes_tet_handedness() -> None: ) check = io.check_mesh_convention(mesh) - assert not check.is_right_handed + assert io.MeshCheckCode.RIGHT_HANDED_GEOMETRY in check["connect1"] mesh_out = io.enforce_mesh_convention(mesh) - assert io.check_mesh_convention(mesh_out).is_valid + assert not io.check_mesh_convention(mesh_out) assert np.array_equal(mesh_out.connect["connect1"], np.array(((0, 1, 2, 3),))) +@pytest.mark.parametrize("element_type", _SUPPORTED_CUBE_ELEMENTS) +def test_cube_mesh_convention_is_valid_after_enforcement( + element_type: dataset.EElemTest, +) -> None: + """All supported raw cube meshes reach the shared convention.""" + mesh = mh.ExodusLoader( + dataset.element_case_output_path(element_type), + enforce_convention=False, + ).load_all_sim_data() + + raw_check = io.check_mesh_convention(mesh) + enforced = io.enforce_mesh_convention(mesh) + enforced_check = io.check_mesh_convention(enforced) + + assert io.MeshCheckCode.ZERO_BASED_INDEXING in raw_check["connect1"] + assert io.MeshCheckCode.ROW_MAJOR_CONNECTIVITY in raw_check["connect1"] + assert not enforced_check + + +@pytest.mark.parametrize("element_type", _SUPPORTED_CUBE_ELEMENTS) +def test_cube_mesh_convention_enforcement_is_idempotent( + element_type: dataset.EElemTest, +) -> None: + """Applying convention enforcement twice must not alter a cube mesh.""" + mesh = mh.ExodusLoader( + dataset.element_case_output_path(element_type), + enforce_convention=False, + ).load_all_sim_data() + + enforced_once = io.enforce_mesh_convention(mesh) + enforced_twice = io.enforce_mesh_convention(enforced_once) + + assert enforced_once.connect is not None + assert enforced_twice.connect is not None + assert tuple(enforced_once.connect) == tuple(enforced_twice.connect) + for key, connectivity in enforced_once.connect.items(): + assert np.array_equal(connectivity, enforced_twice.connect[key]) + + +def test_tet14_cube_is_explicitly_unsupported_by_convention_tools() -> None: + """TET14 remains a documented unsupported volume topology.""" + mesh = mh.ExodusLoader( + dataset.element_case_output_path(dataset.EElemTest.TET14), + enforce_convention=False, + ).load_all_sim_data() + + with pytest.raises(NotImplementedError, match="supported nodes-per-element"): + io.check_mesh_convention(mesh) + + +@pytest.mark.parametrize("element_type", _SUPPORTED_CUBE_ELEMENTS) +def test_extracted_cube_surface_passes_the_convention_checker( + element_type: dataset.EElemTest, +) -> None: + """Extracted cube faces validate against their local outward directions.""" + mesh = mh.ExodusLoader( + dataset.element_case_output_path(element_type), + enforce_convention=False, + ).load_all_sim_data() + surface = io.extract_surf_mesh(io.enforce_mesh_convention(mesh)) + + assert not io.check_mesh_convention(surface) + + def test_extract_surf_mesh_handles_multiple_connectivity_tables() -> None: coords = np.vstack((_tet_coords(0.0), _tet_coords(2.0))) mesh = io.SimData( @@ -420,4 +590,3 @@ def test_extract_surf_mesh_hex27() -> None: assert surf.coords.shape == (98, 3) _assert_extracted_surface_points_outward(surf) _assert_higher_order_surface_edge_order(surf) - diff --git a/tests/dataio/simio_test.py b/tests/dataio/simio_test.py index f78167888..e9ede95f8 100644 --- a/tests/dataio/simio_test.py +++ b/tests/dataio/simio_test.py @@ -9,7 +9,7 @@ import pytest import pyvale.mooseherder as mh import pyvale.dataio as io -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.verif.matchsimdata as verif TXT_GOLD_PATH: Path = Path(__file__).resolve().parent / "txt_gold" diff --git a/tests/dataio/test_meshloader.py b/tests/dataio/test_meshloader.py new file mode 100644 index 000000000..694b8a31b --- /dev/null +++ b/tests/dataio/test_meshloader.py @@ -0,0 +1,176 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Tests for loading coordinates and connectivity without fields.""" + +from pathlib import Path + +import numpy as np +import pytest + +import pyvale.dataio as io +from pyvale.dataio.exceptions import SimLoadErr + + +GOLD_DIR = Path(__file__).resolve().parent / "txt_gold" + + +@pytest.mark.parametrize("suffix", (".csv", ".npy")) +def test_mesh_loader_matches_field_loader(suffix: str) -> None: + """The focused loader must match the existing simulation loader.""" + coords_file = f"hex20_coords{suffix}" + connect_file = f"hex20_connect1{suffix}" + load_opts = io.SimLoadOpts() + + mesh = io.MeshLoader( + load_dir=GOLD_DIR, + coords_file=coords_file, + connect_files=connect_file, + load_opts=load_opts, + ).load_mesh() + simulation = io.SimLoaderByField( + load_dir=GOLD_DIR, + coords_file=coords_file, + time_step_file=None, + node_field_files=None, + connect_files=connect_file, + load_opts=load_opts, + ).load_all_sim_data() + + np.testing.assert_array_equal(mesh.coords, simulation.coords) + assert mesh.connect is not None + assert simulation.connect is not None + assert mesh.connect.keys() == simulation.connect.keys() + for connect_key in mesh.connect: + np.testing.assert_array_equal( + mesh.connect[connect_key], + simulation.connect[connect_key], + ) + + assert mesh.mesh_type is io.EMeshType.VOL + assert mesh.time is None + assert mesh.node_vars is None + assert mesh.elem_vars is None + assert mesh.glob_vars is None + assert not io.check_mesh_convention(mesh) + + +@pytest.mark.parametrize( + "connect_files", + ( + "hex20_connect1.npy", + "hex20_connect*.npy", + ["hex20_connect1.npy"], + ), +) +def test_mesh_loader_accepts_connectivity_selectors( + connect_files: str | list[str], +) -> None: + """A file name, pattern, or explicit list can select connectivity.""" + mesh = io.MeshLoader( + load_dir=GOLD_DIR, + coords_file="hex20_coords.npy", + connect_files=connect_files, + ).load_mesh() + + assert mesh.connect is not None + assert tuple(mesh.connect) == ("hex20_connect1",) + + +def test_mesh_loader_can_preserve_raw_connectivity() -> None: + """Convention conversion can be disabled for diagnostic workflows.""" + mesh = io.MeshLoader( + load_dir=GOLD_DIR, + coords_file="hex20_coords.npy", + connect_files="hex20_connect1.npy", + enforce_convention=False, + ).load_mesh() + + assert mesh.connect is not None + assert int(np.min(mesh.connect["hex20_connect1"])) == 1 + assert io.check_mesh_convention(mesh) + + +def test_mesh_loader_uses_text_options_and_infers_surface( + tmp_path: Path, +) -> None: + """Text options are shared with DataIO and surface type is inferred.""" + coords_path = tmp_path / "coords.txt" + connect_path = tmp_path / "connect.txt" + np.savetxt( + coords_path, + np.array( + ( + (0.0, 0.0, 0.0), + (1.0, 0.0, 0.0), + (1.0, 1.0, 0.0), + (0.0, 1.0, 0.0), + ) + ), + delimiter=";", + header="x;y;z", + comments="", + ) + np.savetxt( + connect_path, + np.array(((1, 2, 3, 4),), dtype=np.int64), + delimiter=";", + header="n0;n1;n2;n3", + comments="", + fmt="%d", + ) + + mesh = io.MeshLoader( + load_dir=tmp_path, + coords_file=coords_path, + connect_files=[connect_path.name], + load_opts=io.SimLoadOpts( + delimiter=";", + coord_header=0, + connect_header=0, + ), + ).load_mesh() + + assert mesh.mesh_type is io.EMeshType.SURF + assert mesh.connect is not None + np.testing.assert_array_equal( + mesh.connect["connect"], + np.array(((0, 1, 2, 3),)), + ) + + +def test_mesh_loader_rejects_missing_directory(tmp_path: Path) -> None: + """A missing load directory reports a focused error.""" + with pytest.raises(SimLoadErr, match="is not a directory"): + io.MeshLoader( + load_dir=tmp_path / "missing", + coords_file="coords.csv", + connect_files="connect.csv", + ) + + +def test_mesh_loader_rejects_missing_coordinates() -> None: + """A missing coordinate file is reported when loading starts.""" + loader = io.MeshLoader( + load_dir=GOLD_DIR, + coords_file="missing.npy", + connect_files="hex20_connect1.npy", + ) + + with pytest.raises(FileNotFoundError, match="missing.npy"): + loader.load_mesh() + + +def test_mesh_loader_rejects_empty_connectivity_match() -> None: + """A pattern that selects no connectivity must fail explicitly.""" + loader = io.MeshLoader( + load_dir=GOLD_DIR, + coords_file="hex20_coords.npy", + connect_files="missing_connect*.npy", + ) + + with pytest.raises(FileNotFoundError, match="No connectivity files"): + loader.load_mesh() diff --git a/tests/dic/test_dic.py b/tests/dic/test_dic.py index 3df3be6bc..0ffa78d94 100644 --- a/tests/dic/test_dic.py +++ b/tests/dic/test_dic.py @@ -16,7 +16,7 @@ import numpy as np import matplotlib.pyplot as plt import pyvale.dic as dic -import pyvale.dataset as dataset +import pyvale.data as dataset import pyvale.calib as calib diff --git a/tests/examples/README.md b/tests/examples/README.md new file mode 100644 index 000000000..953491199 --- /dev/null +++ b/tests/examples/README.md @@ -0,0 +1,36 @@ +# Documented example tests + +This directory smoke-tests the stable Sensorsim, 3D render, 2D render, and +DIC galleries in isolated subprocesses. Each test uses a temporary working +directory, so the examples write their normal `pyvale-output` directory +without modifying the repository. + +Run all documented example tests with: + +```bash +python -m pytest tests/examples +``` + +Run the examples belonging to one sub-module, such as `render3d` or +`render2d`, with: + +```bash +python -m pytest tests/examples --example-module=render3d +python -m pytest tests/examples --example-module=render2d +``` + +Run the render unit tests and only the matching examples together with: + +```bash +python -m pytest tests/render tests/examples --example-module=render3d +``` + +The Blender examples are included but skip automatically when its optional +backend is unavailable. Tests marked `example_slow` remain part of the normal +test set and can be selected with `-m example_slow` when needed. + +The suite intentionally excludes DIC examples that need user interaction or +unbundled local input: `ex01_region_of_interest.py`, `ex06_hrdic.py`, +`ex08_calibration.py`, `ex09_stereo.py`, `ex10_stereo_platehole.py`, and +`ex11_dic_chal.py`. Modules still under active development, including `valid`, +are not included. diff --git a/tests/examples/conftest.py b/tests/examples/conftest.py new file mode 100644 index 000000000..bbc5f2c8b --- /dev/null +++ b/tests/examples/conftest.py @@ -0,0 +1,138 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Shared helpers for documented-example smoke tests.""" + +from __future__ import annotations + +import os +from collections.abc import Callable, Generator, Sequence +from pathlib import Path +import shutil +import subprocess +import sys +import tempfile + +import pytest + + +PROJECT_ROOT = Path(__file__).resolve().parents[2] +SOURCE_ROOT = PROJECT_ROOT / "src" +EXAMPLES_ROOT = SOURCE_ROOT / "pyvale" / "examples" +EXAMPLE_TESTS_ROOT = Path(__file__).resolve().parent + + +def pytest_addoption(parser: pytest.Parser) -> None: + """Register filtering for one documented example sub-module.""" + parser.addoption( + "--example-module", + metavar="MODULE", + help="Run example tests whose script is in this sub-module.", + ) + + +def pytest_collection_modifyitems( + config: pytest.Config, + items: list[pytest.Item], +) -> None: + """Limit example smoke tests to the requested example sub-module.""" + requested_module = config.getoption("example_module") + if requested_module is None: + return + + module = requested_module.strip("/") + requested_prefix = f"{module}/" + selected: list[pytest.Item] = [] + deselected: list[pytest.Item] = [] + + for item in items: + if not item.path.is_relative_to(EXAMPLE_TESTS_ROOT): + selected.append(item) + continue + + callspec = getattr(item, "callspec", None) + relative_path = ( + callspec.params.get("example") if callspec is not None else None + ) + module_marker = item.get_closest_marker("example_module") + marker_module = ( + module_marker.args[0] if module_marker is not None else None + ) + + if ( + isinstance(relative_path, str) + and relative_path.startswith(requested_prefix) + ) or marker_module == module: + selected.append(item) + else: + deselected.append(item) + + if deselected: + config.hook.pytest_deselected(items=deselected) + items[:] = selected + + +@pytest.fixture +def run_example() -> Generator[Callable[..., Path], None, None]: + """Run an example script in an isolated working directory. + + The gallery examples write to ``pyvale-output`` relative to their current + directory. Running them in a temporary directory prevents example smoke + tests from changing the source tree and keeps independent tests isolated. + """ + + with tempfile.TemporaryDirectory(prefix="pyvale-example-") as directory: + work_dir = Path(directory) + + def _run( + relative_path: str, + expected_outputs: Sequence[str] = (), + support_files: Sequence[str] = (), + timeout: float = 180.0, + ) -> Path: + example_path = EXAMPLES_ROOT / relative_path + assert example_path.is_file(), ( + f"Example does not exist: {example_path}" + ) + + for support_file in support_files: + source_file = example_path.parent / support_file + target_file = work_dir / support_file + target_file.parent.mkdir(parents=True, exist_ok=True) + shutil.copy2(source_file, target_file) + + environment = os.environ.copy() + environment["MPLBACKEND"] = "Agg" + environment["PYVISTA_OFF_SCREEN"] = "true" + environment["QT_QPA_PLATFORM"] = "offscreen" + environment["PYTHONPATH"] = os.pathsep.join( + (str(SOURCE_ROOT), environment.get("PYTHONPATH", "")), + ).rstrip(os.pathsep) + + completed = subprocess.run( + (sys.executable, str(example_path)), + cwd=work_dir, + env=environment, + capture_output=True, + text=True, + timeout=timeout, + check=False, + ) + + assert completed.returncode == 0, ( + f"Example failed: {relative_path}\n" + f"stdout:\n{completed.stdout}\n" + f"stderr:\n{completed.stderr}" + ) + + for output in expected_outputs: + assert (work_dir / output).exists(), ( + f"Example did not create expected output: {output}" + ) + + return work_dir + + yield _run diff --git a/tests/examples/test_dic_examples.py b/tests/examples/test_dic_examples.py new file mode 100644 index 000000000..6e7c5d038 --- /dev/null +++ b/tests/examples/test_dic_examples.py @@ -0,0 +1,83 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Smoke tests for automated documented DIC examples.""" + +from __future__ import annotations + +from collections.abc import Callable +from pathlib import Path + +import numpy as np +import pytest + +_DIC_EXAMPLES = ( + pytest.param("dic/ex05_dic_challenge.py", "pyvale-output"), + pytest.param( + "dic/ex07_incremental.py", + "pyvale-output/incremental", + marks=pytest.mark.example_slow, + ), +) + + +@pytest.mark.example +@pytest.mark.example_module("dic") +def test_plate_with_hole_examples(run_example: Callable[..., Path]) -> None: + """The strain example runs against DIC output from the preceding example.""" + work_dir = run_example( + "dic/ex02_plate_with_hole.py", + ("pyvale-output/ex02",), + support_files=("ex10_roi.yaml",), + timeout=300.0, + ) + + run_example( + "dic/ex03_plate_with_hole_strain.py", + ("pyvale-output/ex03",), + timeout=300.0, + ) + + assert (work_dir / "pyvale-output/ex03").is_dir() + + +@pytest.mark.example +@pytest.mark.parametrize(("example", "output"), _DIC_EXAMPLES) +def test_dic_example( + run_example: Callable[..., Path], + example: str, + output: str, +) -> None: + """Each supported standalone DIC gallery example runs successfully.""" + run_example(example, (output,), timeout=300.0) + + +@pytest.mark.example +@pytest.mark.example_module("dic") +def test_render_to_dic_example(run_example: Callable[..., Path]) -> None: + """The Riley render produces an accurate analytic DIC displacement.""" + work_dir = run_example( + "dic/ex04_render_to_dic.py", + ( + "pyvale-output/dic_ex04_render_to_dic/" + "dic_ex04_render_to_dic.png", + ), + timeout=300.0, + ) + + dic_dir = ( + work_dir + / "pyvale-output" + / "dic_ex04_render_to_dic" + / "dic" + ) + result_files = sorted(dic_dir.glob("render_to_dic_*.csv")) + assert len(result_files) == 1 + + result = np.loadtxt(result_files[0], delimiter=",", skiprows=1) + assert np.all(result[:, 5].astype(bool)) + np.testing.assert_allclose(result[:, 2], 0.5, atol=0.05) + np.testing.assert_allclose(result[:, 3], 0.5, atol=0.05) diff --git a/tests/examples/test_example_navigation.py b/tests/examples/test_example_navigation.py new file mode 100644 index 000000000..bc6fc2115 --- /dev/null +++ b/tests/examples/test_example_navigation.py @@ -0,0 +1,85 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Regression tests for the hand-written example gallery navigation.""" + +from __future__ import annotations + +import subprocess +from pathlib import Path + + +REPO_ROOT = Path(__file__).resolve().parents[2] +EXAMPLES_ROOT = REPO_ROOT / "src" / "pyvale" / "examples" +DOCS_EXAMPLES_ROOT = REPO_ROOT / "docs" / "source" / "examples" + +GROUPS = ( + ("examples_basics_sensorsim", "basicsensorsim"), + ("examples_dic", "dic"), + ("examples_render3d", "render3d"), + ("examples_renderuvs", "renderuvs"), + ("examples_ext_sensorsim", "extsensorsim"), + ("examples_mooseherder", "mooseherder"), +) + + +def get_toctree_entries(path: Path, prefix: str) -> tuple[str, ...]: + """Return ordered, extension-free toctree entries with one prefix.""" + entries: list[str] = [] + for line in path.read_text(encoding="utf-8").splitlines(): + entry = line.strip() + if entry.startswith(prefix): + entries.append(entry) + return tuple(entries) + + +def test_example_groups_are_complete_and_ordered() -> None: + """Every public example appears in its explicit filename order.""" + for group_name, source_name in GROUPS: + group_path = DOCS_EXAMPLES_ROOT / f"{group_name}.rst" + documented = get_toctree_entries(group_path, f"{source_name}/ex") + source = tuple( + f"{source_name}/{path.stem}" + for path in sorted((EXAMPLES_ROOT / source_name).glob("ex*.py")) + ) + assert documented == source + + +def test_example_group_navigation_order() -> None: + """The examples landing page retains the intended module progression.""" + landing_page = DOCS_EXAMPLES_ROOT / "examples.rst" + documented = get_toctree_entries(landing_page, "examples_") + expected = tuple(group_name for group_name, _ in GROUPS) + assert documented == expected + + +def test_development_example_families_are_not_public() -> None: + """Supporting and in-development modules stay out of public navigation.""" + navigation = "\n".join( + path.read_text(encoding="utf-8") + for path in DOCS_EXAMPLES_ROOT.glob("examples*.rst") + ) + for source_name in ("genanalyticdata", "valid", "visualisation"): + assert source_name not in navigation + + +def test_gitignore_preserves_manual_navigation_only() -> None: + """Manual layouts are trackable while generated gallery pages are ignored.""" + for group_name in ("examples", *(name for name, _ in GROUPS)): + manual_path = DOCS_EXAMPLES_ROOT / f"{group_name}.rst" + completed = subprocess.run( + ("git", "check-ignore", "--quiet", str(manual_path)), + cwd=REPO_ROOT, + check=False, + ) + assert completed.returncode == 1 + + generated_path = DOCS_EXAMPLES_ROOT / "render3d" / "example.rst" + completed = subprocess.run( + ("git", "check-ignore", "--quiet", str(generated_path)), + cwd=REPO_ROOT, + check=False, + ) + assert completed.returncode == 0 diff --git a/tests/examples/test_render3d_examples.py b/tests/examples/test_render3d_examples.py new file mode 100644 index 000000000..07d655295 --- /dev/null +++ b/tests/examples/test_render3d_examples.py @@ -0,0 +1,125 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Smoke tests for the documented 3D render gallery examples.""" + +from __future__ import annotations + +from collections.abc import Callable +from pathlib import Path + +import pytest + +import pyvale.render as render + + +_RILEY_EXAMPLES = ( + pytest.param( + "render3d/ex1a_riley_quickstart.py", + "pyvale-output/render3d_ex1a_riley_quickstart/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "render3d/ex1b_riley_sphere200.py", + "pyvale-output/render3d_ex1b_riley_sphere200/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "render3d/ex1c_riley_rabbits.py", + "pyvale-output/render3d_ex1c_riley_rabbits/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "render3d/ex1d_riley_dicuq.py", + "pyvale-output/render3d_ex1d_riley_dicuq/cam0_frame0_field0.bmp", + ), + pytest.param( + "render3d/ex1e_riley_dic_from_exodus.py", + "pyvale-output/render3d_ex1e_riley_dic_from_exodus/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "render3d/ex1f_riley_stereocal.py", + "pyvale-output/render3d_ex1f_riley_stereocal/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "render3d/ex1g_riley_psf.py", + "pyvale-output/render3d_ex1g_riley_psf/global_subpx_full/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "render3d/ex2d_blender_calibration.py", + "pyvale-output/render3d_ex2d_blender_calibration/calibration/" + "calibration.yaml", + ), +) + +_BLENDER_EXAMPLES = ( + pytest.param( + "render3d/ex2a_blender_scene.py", + "pyvale-output/render3d_ex2a_blender_scene/images/" + "blenderimage_0.tiff", + ), + pytest.param( + "render3d/ex2b_blender_deformation.py", + "pyvale-output/render3d_ex2b_blender_deformation/images/" + "blenderimage_0.tiff", + ), + pytest.param( + "render3d/ex2c_blender_stereo.py", + "pyvale-output/render3d_ex2c_blender_stereo/images/" + "blenderimage_0_1.tiff", + ), + pytest.param( + "render3d/ex2e_blender_stereo_deformation.py", + "pyvale-output/render3d_ex2e_blender_stereo_deformation/images/" + "blenderimage_0_1.tiff", + ), + pytest.param( + "render3d/ex2f_blender_calibration_target.py", + "pyvale-output/render3d_ex2f_blender_calibration_target/" + "calimages/blendercal_1_1.tiff", + ), +) + + +@pytest.mark.example +@pytest.mark.parametrize(("example", "output"), _RILEY_EXAMPLES) +def test_render3d_example( + run_example: Callable[..., Path], + example: str, + output: str, +) -> None: + """Each non-Blender 3D render gallery example runs and writes its result.""" + run_example(example, (output,), timeout=300.0) + + +@pytest.mark.example +@pytest.mark.blender +@pytest.mark.skipif( + not render.blender_available(), + reason="The optional Blender renderer backend is unavailable.", +) +@pytest.mark.parametrize(("example", "output"), _BLENDER_EXAMPLES) +def test_blender_render3d_example( + run_example: Callable[..., Path], + example: str, + output: str, +) -> None: + """Run each Blender gallery example when the optional backend is present.""" + work_dir = run_example(example, (output,), timeout=300.0) + + if example.endswith("ex2f_blender_calibration_target.py"): + images = tuple( + ( + work_dir + / "pyvale-output" + / "render3d_ex2f_blender_calibration_target" + / "calimages" + ).glob("*.tiff") + ) + assert len(images) == 10 diff --git a/tests/examples/test_renderuvs_examples.py b/tests/examples/test_renderuvs_examples.py new file mode 100644 index 000000000..17c2e69ae --- /dev/null +++ b/tests/examples/test_renderuvs_examples.py @@ -0,0 +1,77 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================ + +"""Smoke tests for the documented Render UV gallery examples.""" + +from __future__ import annotations + +from collections.abc import Callable +from pathlib import Path + +import numpy as np +import pytest +from PIL import Image + + +_RENDER_UV_EXAMPLES = ( + pytest.param( + "renderuvs/ex1a_uv_planar_axes.py", + "pyvale-output/renderuvs_ex1a_uv_planar_axes/xy/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "renderuvs/ex1b_uv_texture_aspect.py", + "pyvale-output/renderuvs_ex1b_uv_texture_aspect/aligned/contain/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "renderuvs/ex1c_uv_pixel_region.py", + "pyvale-output/renderuvs_ex1c_uv_pixel_region/tiled_seam/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "renderuvs/ex1d_uv_arbitrary_plane.py", + "pyvale-output/renderuvs_ex1d_uv_arbitrary_plane/tilted/" + "cam0_frame0_field0.bmp", + ), + pytest.param( + "renderuvs/ex1e_uv_transform.py", + "pyvale-output/renderuvs_ex1e_uv_transform/transformed/" + "cam0_frame0_field0.bmp", + ), +) + + +@pytest.mark.example +@pytest.mark.parametrize(("example", "output"), _RENDER_UV_EXAMPLES) +def test_renderuv_example( + run_example: Callable[..., Path], + example: str, + output: str, +) -> None: + """Each representative render is visible, centred, and uncropped.""" + work_dir = run_example(example, (output,), timeout=300.0) + with Image.open(work_dir / output) as output_image: + image = np.asarray(output_image) + + background = image[0, 0] + foreground = np.any(image != background, axis=2) + rows, columns = np.nonzero(foreground) + + assert rows.size > 0 + assert columns.min() > 0 + assert rows.min() > 0 + assert columns.max() < image.shape[1] - 1 + assert rows.max() < image.shape[0] - 1 + + object_center = np.array( + ( + 0.5 * (columns.min() + columns.max()), + 0.5 * (rows.min() + rows.max()), + ) + ) + image_center = 0.5 * np.array((image.shape[1] - 1, image.shape[0] - 1)) + assert np.all(np.abs(object_center - image_center) < 0.1 * image_center) diff --git a/tests/examples/test_sensorsim_examples.py b/tests/examples/test_sensorsim_examples.py new file mode 100644 index 000000000..f0bc3f402 --- /dev/null +++ b/tests/examples/test_sensorsim_examples.py @@ -0,0 +1,67 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================== + +"""Smoke tests for the basic and extended Sensorsim gallery examples.""" + +from __future__ import annotations + +from collections.abc import Callable +from pathlib import Path + +import pytest + + +_BASIC_EXAMPLES = ( + "basicsensorsim/ex0_quickstart.py", + "basicsensorsim/ex1_scalar_sensors.py", + "basicsensorsim/ex2_vector_tensor_sensors.py", + "basicsensorsim/ex3_experiment_simulator.py", +) + +_EXTENDED_EXAMPLES = ( + "extsensorsim/ex1_byosimdata.py", + "extsensorsim/ex2_meshfreesensors.py", + "extsensorsim/ex3a_scal2d.py", + "extsensorsim/ex3b_scal3d.py", + "extsensorsim/ex3c_vec2d.py", + "extsensorsim/ex3d_vec3d.py", + "extsensorsim/ex3e_tens2d.py", + "extsensorsim/ex3f_tens3d.py", + "extsensorsim/ex4a_basicerrs_scal2d.py", + "extsensorsim/ex4b_fielderrs_scal3d.py", + "extsensorsim/ex4c_angleerrs_vec2d.py", + "extsensorsim/ex4d_fieldlockerrs_vec3d.py", + "extsensorsim/ex4e_chainfielderrs_vec2d.py", + "extsensorsim/ex4f_caliberrs_scal2d.py", + "extsensorsim/ex4g_spatavgerrs_scal2d.py", + "extsensorsim/ex5a_expsim_thermmech2d.py", + "extsensorsim/ex5b_expsim_thermmech3d.py", +) + + +@pytest.mark.example +@pytest.mark.parametrize("example", _BASIC_EXAMPLES) +def test_basic_sensorsim_example( + run_example: Callable[..., Path], + example: str, +) -> None: + """Each basic Sensorsim gallery example runs without a GUI.""" + run_example(example, ("pyvale-output",), timeout=300.0) + + +@pytest.mark.example +@pytest.mark.example_slow +@pytest.mark.parametrize("example", _EXTENDED_EXAMPLES) +def test_extended_sensorsim_example( + run_example: Callable[..., Path], + example: str, +) -> None: + """Each extended Sensorsim gallery example runs without a GUI.""" + expected_outputs = () + if not example.endswith("ex2_meshfreesensors.py"): + expected_outputs = ("pyvale-output",) + + run_example(example, expected_outputs, timeout=300.0) diff --git a/tests/mooseherder/availability_test.py b/tests/mooseherder/availability_test.py new file mode 100644 index 000000000..b6952bfde --- /dev/null +++ b/tests/mooseherder/availability_test.py @@ -0,0 +1,29 @@ +"""Tests for optional external backend availability diagnostics.""" + +from pathlib import Path + +import pyvale.mooseherder as mooseherder + + +def test_missing_moose_reports_configured_executable(tmp_path: Path) -> None: + """MOOSE availability reports a missing application without executing it.""" + availability = mooseherder.moose_availability({ + "main_path": tmp_path, + "app_path": tmp_path, + "app_name": "missing-moose", + }) + + assert not availability.available + assert availability.executable is None + assert "missing-moose" in str(availability.reason) + + +def test_missing_gmsh_reports_path_lookup(monkeypatch) -> None: + """Gmsh availability gives an install/configuration diagnostic.""" + monkeypatch.setattr("pyvale.mooseherder.availability.shutil.which", lambda _: None) + + availability = mooseherder.gmsh_availability() + + assert not availability.available + assert availability.executable is None + assert "not found on PATH" in str(availability.reason) diff --git a/tests/mooseherder/gmshrunner_test.py b/tests/mooseherder/gmshrunner_test.py index 79edfa102..1acb51845 100644 --- a/tests/mooseherder/gmshrunner_test.py +++ b/tests/mooseherder/gmshrunner_test.py @@ -4,12 +4,11 @@ # Copyright (C) 2025 The Computer Aided Validation Team #=============================================================================== -import os from pathlib import Path import pytest +import shutil from pyvale.mooseherder.gmshrunner import GmshRunner -USER_DIR = Path.home() GMSH_INPUT_PATH = Path.cwd()/"tests"/"mooseherder"/"gmsh" def test_gmsh_exists(gmsh_path: Path): @@ -18,10 +17,10 @@ def test_gmsh_exists(gmsh_path: Path): @pytest.fixture() def gmsh_path() -> Path: - path = USER_DIR / 'gmsh/bin/gmsh' - if not path.is_file(): - pytest.skip("Gmsh app not installed at the expected path") - return path + path = shutil.which("gmsh") + if path is None: + pytest.skip("Gmsh is not installed or available on PATH") + return Path(path) @pytest.fixture() @@ -39,17 +38,15 @@ def setup_teardown(): # Setup here yield # Teardown here - remove output files - all_files = os.listdir(GMSH_INPUT_PATH) - for ff in all_files: - if '.msh' in ff: - os.remove(GMSH_INPUT_PATH/ff) + for output_file in GMSH_INPUT_PATH.glob("*.msh"): + output_file.unlink() def test_create_runner(runner: GmshRunner, gmsh_path: Path) -> None: assert runner._gmsh_app == gmsh_path def test_create_runner_err() -> None: - wrong_path = USER_DIR / 'wrong_dir' + wrong_path = Path("/nonexistent/gmsh") with pytest.raises(FileNotFoundError) as err_info: _ = GmshRunner(wrong_path) @@ -63,7 +60,7 @@ def test_set_gmsh_app(gmsh_path: Path) -> None: def test_set_gmsh_app_err() -> None: - wrong_path = USER_DIR / 'wrong_dir' + wrong_path = Path("/nonexistent/gmsh") with pytest.raises(FileNotFoundError) as err_info: check_runner = GmshRunner() check_runner.set_gmsh_app(wrong_path) @@ -104,12 +101,16 @@ def test_run_with_input(runner: GmshRunner, input_file: Path) -> None: assert (GMSH_INPUT_PATH/"gmsh-test.msh").is_file(), 'Output mesh *.msh file not generated by gmsh.' -def test_run_err_no_gmsh() -> None: +def test_run_err_no_gmsh(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr( + "pyvale.mooseherder.availability.shutil.which", + lambda _: None, + ) check_runner = GmshRunner() with pytest.raises(RuntimeError) as err_info: check_runner.run() msg, = err_info.value.args - assert msg == "Specify the full path to the gmsh app before calling run." + assert msg == "Gmsh was not found on PATH. Install Gmsh or configure its path." def test_run_err_no_geo(runner: GmshRunner) -> None: diff --git a/tests/mooseherder/herdchecker.py b/tests/mooseherder/herdchecker.py index 9effd2355..0b9ec5931 100644 --- a/tests/mooseherder/herdchecker.py +++ b/tests/mooseherder/herdchecker.py @@ -14,6 +14,7 @@ from pyvale.mooseherder.gmshrunner import GmshRunner from pyvale.mooseherder.mooseherd import MooseHerd from pyvale.mooseherder.directorymanager import DirectoryManager +from pyvale.mooseherder.availability import gmsh_availability NUM_DIRS = 4 @@ -26,7 +27,8 @@ MOOSE_APP_NAME = 'proteus-opt' MOOSE_INPUT = BASE_DIR/"moose"/"moose-test.i" -GMSH_APP_PATH = Path().home() / 'gmsh/bin/gmsh' +GMSH_AVAILABILITY = gmsh_availability() +GMSH_APP_PATH = GMSH_AVAILABILITY.executable GMSH_INPUT = BASE_DIR/"gmsh/gmsh-test.geo" moose_present = ( @@ -35,7 +37,7 @@ and (MOOSE_APP_PATH / MOOSE_APP_NAME).is_file() ) -gmsh_present = GMSH_APP_PATH.is_file() +gmsh_present = GMSH_AVAILABILITY.available OUTPUT_GOLD_PATH = BASE_DIR/"output_gold" TXT_GOLD_PATH = BASE_DIR/"txt_gold" @@ -207,4 +209,3 @@ def debug_print(to_print: Any) -> None: print('-'*80) print() - diff --git a/tests/render/gold_blender/tri3_clipping.npy b/tests/render/gold_blender/tri3_clipping.npy new file mode 100644 index 000000000..b208e7510 Binary files /dev/null and b/tests/render/gold_blender/tri3_clipping.npy differ diff --git a/tests/render/gold_blender/tri3_deforming.npy b/tests/render/gold_blender/tri3_deforming.npy new file mode 100644 index 000000000..b4239ac1d Binary files /dev/null and b/tests/render/gold_blender/tri3_deforming.npy differ diff --git a/tests/render/gold_blender/tri3_shared_edge.npy b/tests/render/gold_blender/tri3_shared_edge.npy new file mode 100644 index 000000000..91e932164 Binary files /dev/null and b/tests/render/gold_blender/tri3_shared_edge.npy differ diff --git a/tests/render/gold_blender/triangle.npy b/tests/render/gold_blender/triangle.npy new file mode 100644 index 000000000..5cdb9ebbf Binary files /dev/null and b/tests/render/gold_blender/triangle.npy differ diff --git a/tests/render/gold_riley/rabbits.npy b/tests/render/gold_riley/rabbits.npy new file mode 100644 index 000000000..3a9dd6cc4 Binary files /dev/null and b/tests/render/gold_riley/rabbits.npy differ diff --git a/tests/render/gold_riley/rabbits.sha256 b/tests/render/gold_riley/rabbits.sha256 new file mode 100644 index 000000000..fa25617a9 --- /dev/null +++ b/tests/render/gold_riley/rabbits.sha256 @@ -0,0 +1 @@ +542165aef4fa59ae550ada3540cacd3454b6236c767ac9d1e6ca58e8bd298add diff --git a/tests/render/gold_riley/tri3_clipping.npy b/tests/render/gold_riley/tri3_clipping.npy new file mode 100644 index 000000000..58b3c9547 Binary files /dev/null and b/tests/render/gold_riley/tri3_clipping.npy differ diff --git a/tests/render/gold_riley/tri3_deforming.npy b/tests/render/gold_riley/tri3_deforming.npy new file mode 100644 index 000000000..1c7ada213 Binary files /dev/null and b/tests/render/gold_riley/tri3_deforming.npy differ diff --git a/tests/render/gold_riley/tri3_shared_edge.npy b/tests/render/gold_riley/tri3_shared_edge.npy new file mode 100644 index 000000000..6b139e25f Binary files /dev/null and b/tests/render/gold_riley/tri3_shared_edge.npy differ diff --git a/tests/render/test_blender_availability.py b/tests/render/test_blender_availability.py new file mode 100644 index 000000000..14ae68b3c --- /dev/null +++ b/tests/render/test_blender_availability.py @@ -0,0 +1,127 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Tests for Blender's optional-backend boundary.""" + +import numpy as np +import pytest +from scipy.spatial.transform import Rotation + +import pyvale.render as render +import pyvale.render.blender.adapter as blender_adapter + + +def make_camera() -> render.Camera: + """Create a small valid perspective camera.""" + return render.Camera( + pixels_num=np.array((16, 16)), + pixels_size=np.array((0.1, 0.1)), + pos_world=np.array((0.0, 0.0, 2.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=1.0, + ) + + +def make_mesh() -> render.Mesh3D: + """Create a small valid triangle mesh.""" + return render.Mesh3D( + render.EElementType.TRI3, + np.array(((-1.0, -1.0, 0.0), (1.0, -1.0, 0.0), (0.0, 1.0, 0.0))), + np.array(((0, 1, 2),)), + object(), + ) + + +def test_blender_reports_unavailable_at_construction( + monkeypatch, + tmp_path, +) -> None: + """An unavailable optional backend fails immediately on instantiation.""" + reason = "Blender requires Python 3.13 and the blender extra." + monkeypatch.setattr( + blender_adapter, + "_blender_unavailable_reason", + lambda: reason, + ) + with pytest.raises(render.RenderInputError, match="UNAVAILABLE"): + render.Blender(render.BlenderConfig(tmp_path)) + + +def test_render_calibration_images_reports_unavailable( + monkeypatch, + tmp_path, +) -> None: + """Calibration rendering fails immediately when Blender is unavailable.""" + reason = "Blender requires Python 3.13 and the blender extra." + monkeypatch.setattr( + blender_adapter, + "_blender_unavailable_reason", + lambda: reason, + ) + camera = make_camera() + stereo_cameras = render.stereo_build_faceon(camera, 15.0) + target = render.BlenderCalibrationTarget( + np.array((10.0, 10.0, 1.0)), + tmp_path / "dummy.tiff", + 0.1, + ) + with pytest.raises(render.RenderInputError, match="UNAVAILABLE"): + render.render_calibration_images( + target, + stereo_cameras, + render.BlenderConfig(tmp_path), + ) + + +def test_blender_available_reflects_backend_probe(monkeypatch) -> None: + """The public availability helper uses the same preflight probe.""" + monkeypatch.setattr( + blender_adapter, + "_blender_unavailable_reason", + lambda: None, + ) + + assert blender_adapter.blender_available() + + +def test_blender_gpu_probe_is_safe_when_backend_is_unavailable( + monkeypatch, +) -> None: + """The legacy GPU capability query returns false without Blender.""" + monkeypatch.setattr( + blender_adapter, + "_blender_unavailable_reason", + lambda: "Blender is unavailable.", + ) + + assert not blender_adapter.blender_gpu_available() + + +def test_blender_warns_for_non_tri3_meshes(monkeypatch, tmp_path) -> None: + """Blender retains legacy meshes but signals its Tri3-only guarantee.""" + monkeypatch.setattr( + blender_adapter, + "_blender_unavailable_reason", + lambda: None, + ) + mesh = render.Mesh3D( + render.EElementType.QUAD4, + np.array( + ( + (-1.0, -1.0, 0.0), + (1.0, -1.0, 0.0), + (1.0, 1.0, 0.0), + (-1.0, 1.0, 0.0), + ) + ), + np.array(((0, 1, 2, 3),)), + object(), + ) + + with pytest.warns(RuntimeWarning, match="Tri3"): + render.Blender(render.BlenderConfig(tmp_path)).verify_input( + render.Scene3D([mesh], [make_camera()]), + ) diff --git a/tests/render/test_blender_integration.py b/tests/render/test_blender_integration.py new file mode 100644 index 000000000..e5740260c --- /dev/null +++ b/tests/render/test_blender_integration.py @@ -0,0 +1,30 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Smoke test for the Blender unified-renderer adapter.""" + +from pathlib import Path + +import numpy as np +import pytest + +import pyvale.render as render +import pyvale.verif.renderverif as renderverif + +from pyvale.verif.renderverif import assert_render_allclose + + +pytestmark = pytest.mark.skipif( + not render.blender_available(), + reason="Blender requires Python 3.13 and the pyvale blender extra.", +) + + +def test_blender_adapter_renders_common_mesh_and_camera(tmp_path: Path) -> None: + """The Blender adapter accepts render.Mesh3D and normalises its result.""" + actual = renderverif.render_triangle(tmp_path) + reference = np.load(Path(__file__).parent / "gold_blender/triangle.npy") + assert actual.shape == (1, 1, 32, 32, 1) + assert_render_allclose(actual, reference, "blender_triangle", rtol=0.0, atol=0.0) diff --git a/tests/render/test_blender_legacy_regression.py b/tests/render/test_blender_legacy_regression.py new file mode 100644 index 000000000..b30624396 --- /dev/null +++ b/tests/render/test_blender_legacy_regression.py @@ -0,0 +1,553 @@ +"""Legacy Blender gold regressions through the unified renderer API.""" + +from pathlib import Path + +import numpy as np +import pytest +from scipy.spatial.transform import Rotation + +import pyvale.data as dataset +import pyvale.blender as legacy_blender +import pyvale.render as render +import pyvale.verif.renderverif as renderverif +from pyvale.render.blender.adapter import _triangulate_mesh_for_blender +from pyvale.sensorsim.simtools import centre_mesh_nodes + +from pyvale.verif.renderverif import assert_render_allclose + + +pytestmark = [ + pytest.mark.skipif( + not render.blender_available(), + reason="Blender requires Python 3.13 and the optional Blender extra.", + ), + pytest.mark.filterwarnings( + "ignore:Blender support is verified only for Tri3 meshes", + ), +] + +_GOLD = Path(__file__).parents[1] / "blender" / "2D_gold" + + +def _camera(pixels: tuple[int, int] = (20, 20)) -> render.Camera: + return render.Camera( + pixels_num=np.asarray(pixels), + pixels_size=np.array((0.00345, 0.00345)), + pos_world=np.array((0.0, 0.0, 500.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=15.0, + ) + + +def _mesh(camera: render.Camera) -> render.Mesh3D: + sim_data = renderverif.scaled_mechanical_2d() + resolution = ( + camera.pixels_size[0] * camera.pos_world[2] / camera.focal_length + ) + shader = render.BlenderTextureShader( + dataset.dic_pattern_5mpx_path(), resolution + ) + return render.mesh3d_from_simdata(sim_data, shader, ("disp_x", "disp_y")) + + +def _render( + tmp_path: Path, + camera: render.Camera, + light_energy: float = 1.0, + samples: int = 2, + bounces: int = 12, + engine: render.EBlenderEngine = render.EBlenderEngine.CYCLES, +) -> np.ndarray: + renderer = render.Blender( + render.BlenderConfig( + tmp_path, + engine=engine, + samples=samples, + max_bounces=bounces, + threads=1, + ) + ) + result = renderer.render( + render.Scene3D( + (_mesh(camera),), + (camera,), + ( + render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 400.0)), + np.zeros(3), + light_energy, + ), + ), + ) + ) + assert result.images is not None + return result.images[0, 0, :, :, 0] + + +@pytest.mark.parametrize( + ("energy", "gold"), + ((0.5, "half_watt_lighting"), (3.0, "three_watt_lighting")), +) +def test_legacy_lighting_gold(tmp_path: Path, energy: float, gold: str) -> None: + """Common lights reproduce legacy point-light intensity images.""" + assert_render_allclose( + _render(tmp_path, _camera(), light_energy=energy), + np.load(_GOLD / f"{gold}.npy"), + gold, + rtol=0.0, + atol=2.0, + ) + + +@pytest.mark.parametrize( + ("pixels", "gold"), + (((10, 20), "vertical_cam"), ((20, 10), "horizontal_cam")), +) +def test_legacy_camera_shape_gold( + tmp_path: Path, + pixels: tuple[int, int], + gold: str, +) -> None: + """Unified cameras retain legacy orientation and output shape.""" + assert_render_allclose( + _render(tmp_path, _camera(pixels)), + np.load(_GOLD / f"{gold}.npy"), + gold, + rtol=0.0, + atol=2.0, + ) + + +@pytest.mark.parametrize( + ("samples", "gold"), ((4, "samples_four"), (12, "samples_twelve")) +) +def test_legacy_samples_gold(tmp_path: Path, samples: int, gold: str) -> None: + """Blender sample counts retain legacy render behaviour.""" + assert_render_allclose( + _render(tmp_path, _camera(), samples=samples), + np.load(_GOLD / f"{gold}.npy"), + gold, + rtol=0.0, + atol=2.0, + ) + + +@pytest.mark.parametrize( + ("bounces", "gold"), ((2, "bounces_two"), (100, "bounces_hundred")) +) +def test_legacy_bounces_gold(tmp_path: Path, bounces: int, gold: str) -> None: + """Blender maximum bounces retain legacy render behaviour.""" + assert_render_allclose( + _render(tmp_path, _camera(), bounces=bounces), + np.load(_GOLD / f"{gold}.npy"), + gold, + rtol=0.0, + atol=2.0, + ) + + +@pytest.mark.parametrize( + ("engine", "gold"), + ( + (render.EBlenderEngine.CYCLES, "cycles_engine"), + (render.EBlenderEngine.EEVEE, "eevee_engine"), + ), +) +def test_legacy_engine_gold( + tmp_path: Path, + engine: render.EBlenderEngine, + gold: str, +) -> None: + """Blender engine selection retains the committed legacy image output.""" + assert_render_allclose( + _render(tmp_path, _camera(), engine=engine), + np.load(_GOLD / f"{gold}.npy"), + gold, + rtol=0.0, + atol=2.0, + ) + + +def test_legacy_workbench_engine(tmp_path: Path) -> None: + """The legacy Blender Workbench engine remains selectable.""" + image = _render(tmp_path, _camera(), engine=render.EBlenderEngine.WORKBENCH) + assert image.shape == (20, 20) + + +def test_camera_from_resolution_matches_legacy_gold(tmp_path: Path) -> None: + """The migrated resolution helper creates the legacy Blender camera.""" + camera = render.blender_camera_from_resolution( + np.array((20, 20)), + np.array((0.00345, 0.00345)), + 500.0, + 0.1, + ) + assert_render_allclose( + _render(tmp_path, camera), + np.load(_GOLD / "cam_from_resolution.npy"), + "camera_from_resolution", + rtol=0.0, + atol=2.0, + ) + assert render.blender_mm_per_pixel(camera) == pytest.approx(0.1) + + +@pytest.mark.parametrize("field", ("samples", "max_bounces", "threads", "seed")) +def test_blender_config_rejects_non_integral_controls( + tmp_path: Path, + field: str, +) -> None: + """Invalid legacy render controls fail before Blender scene construction.""" + values = {"samples": 2, "max_bounces": 12, "threads": 1, "seed": 0} + values[field] = 2.5 + renderer = render.Blender(render.BlenderConfig(tmp_path, **values)) + with pytest.raises(render.RenderInputError, match="VALUE"): + renderer.render(render.Scene3D((_mesh(_camera()),), (_camera(),))) + + +def test_blender_persisted_images_and_scene(tmp_path: Path) -> None: + """Legacy TIFF and Blender-project output remain available by configuration.""" + camera = _camera() + result = render.Blender( + render.BlenderConfig( + tmp_path, + threads=1, + save_images=True, + save_scene=True, + ) + ).render( + render.Scene3D( + (_mesh(camera),), + (camera,), + ( + render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 400.0)), + np.zeros(3), + 1.0, + ), + ), + ) + ) + assert result.images is None + assert len(result.output_paths) == 1 + assert result.output_paths[0].is_file() + assert (tmp_path / "blenderfiles" / "projectfile.blend").is_file() + + +def test_blender_supports_legacy_light_geometries(tmp_path: Path) -> None: + """The common light enum retains every geometry supported by Blender.""" + camera = _camera() + for light_type in ( + render.ELightType.SUN, + render.ELightType.SPOT, + render.ELightType.AREA, + ): + result = render.Blender( + render.BlenderConfig( + tmp_path / light_type.value, + threads=1, + ) + ).render( + render.Scene3D( + (_mesh(camera),), + (camera,), + ( + render.Light( + light_type, + np.array((0.0, 0.0, 400.0)), + np.array((0.0, 0.0, -1.0)), + 1.0, + shadow_soft_size=2.0, + ), + ), + ) + ) + assert result.images is not None + + +def test_blender_in_memory_texture(tmp_path: Path) -> None: + """Legacy in-memory image textures are available through BlenderImageShader.""" + camera = _camera() + source_mesh = _mesh(camera) + mesh = render.Mesh3D( + source_mesh.element_type, + source_mesh.coords, + source_mesh.connectivity, + render.BlenderImageShader(np.indices((64, 64)).sum(axis=0) % 255, 0.1), + source_mesh.displacements, + ) + result = render.Blender(render.BlenderConfig(tmp_path, threads=1)).render( + render.Scene3D( + (mesh,), + (camera,), + ( + render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 400.0)), + np.zeros(3), + 1.0, + ), + ), + ), + ) + assert result.images is not None + + +@pytest.mark.parametrize("placement", ("symmetric", "faceon")) +def test_legacy_stereo_gold( + tmp_path: Path, + placement: str, +) -> None: + """Unified stereo helpers render one image for each legacy camera view.""" + camera = _camera() + if placement == "symmetric": + stereo_cameras = render.stereo_build_symmetric(camera, 15.0) + else: + stereo_cameras = render.stereo_build_faceon(camera, 15.0) + renderer = render.Blender(render.BlenderConfig(tmp_path, threads=1)) + result = renderer.render( + render.Scene3D( + (_mesh(camera),), + stereo_cameras, + ( + render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 400.0)), + np.zeros(3), + 1.0, + ), + ), + ) + ) + assert result.images is not None + assert result.images.shape == (1, 2, 20, 20, 1) + assert not np.array_equal(result.images[0, 0], result.images[0, 1]) + + +def test_legacy_deformation_frames(tmp_path: Path) -> None: + """Unified deformation rendering preserves every simulation timestep.""" + camera = _camera() + renderer = render.Blender( + render.BlenderConfig( + tmp_path, + threads=1, + render_deformed=True, + ) + ) + result = renderer.render( + render.Scene3D( + (_mesh(camera),), + (camera,), + ( + render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 400.0)), + np.zeros(3), + 1.0, + ), + ), + ) + ) + assert result.images is not None + assert result.images.shape == (61, 1, 20, 20, 1) + assert not np.array_equal(result.images[0], result.images[-1]) + assert_render_allclose( + result.images[10, 0, :, :, 0], + np.load(_GOLD / "deformed_images.npy"), + "deformed_images", + rtol=0.0, + atol=2.0, + ) + + +def test_legacy_calibration_round_trip(tmp_path: Path) -> None: + """Stereo calibration files retain the legacy format and values.""" + camera_0, camera_1 = render.stereo_build_faceon(_camera(), 15.0) + output = tmp_path / "calibration" / "calibration.yaml" + render.stereo_save_calibration_yaml(camera_0, camera_1, output) + rebuilt_0, rebuilt_1 = render.stereo_build_from_calibration( + output, + np.array((0.0, 0.0, 500.0)), + Rotation.identity(), + 15.0, + ) + assert output.read_text() + original = render.stereo_calc_extrinsics(camera_0, camera_1) + rebuilt = render.stereo_calc_extrinsics(rebuilt_0, rebuilt_1) + assert np.allclose( + rebuilt.translation_cam1_in_cam0, + original.translation_cam1_in_cam0, + ) + assert rebuilt.rotation_cam1_from_cam0.approx_equal( + original.rotation_cam1_from_cam0 + ) + matchid_path = tmp_path / "calibration" / "calibration.caldat" + render.stereo_save_calibration_matchid(camera_0, camera_1, matchid_path) + assert matchid_path.is_file() + + +def test_legacy_calibration_image_count() -> None: + """Blender calibration target-counting remains available in render.""" + data = render.BlenderCalibrationData() + assert render.calibration_image_count(data) == 675 + + +def test_unified_stereo_matches_legacy_scene(tmp_path: Path) -> None: + """The adapter reproduces Blender's tessellated legacy scene path.""" + camera = _camera() + stereo_cameras = render.stereo_build_faceon(camera, 15.0) + camera_0, camera_1 = stereo_cameras + mesh = _mesh(camera) + light = render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 400.0)), + np.zeros(3), + 1.0, + ) + unified = render.Blender( + render.BlenderConfig(tmp_path / "unified", threads=1) + ) + unified_result = unified.render( + render.Scene3D( + (mesh,), + stereo_cameras, + (light,), + ) + ) + assert unified_result.images is not None + + legacy_mesh = _triangulate_mesh_for_blender(mesh) + scene = legacy_blender.Scene() + part = scene.add_part(legacy_mesh, 3) + scene.add_speckle( + part, + mesh.shader.image_path, + legacy_blender.MaterialData(), + mesh.shader.millimetres_per_pixel, + ) + scene.add_camera(camera_0) + scene.add_camera(camera_1) + scene.add_light( + legacy_blender.LightData( + light.pos_world, + Rotation.identity(), + light.intensity, + legacy_blender.LightType.POINT, + ) + ) + legacy_dir = tmp_path / "legacy" + legacy_dir.mkdir() + legacy = scene.render_single_image( + legacy_blender.RenderData( + stereo_cameras, + legacy_dir, + threads=1, + ) + ) + expected = np.asarray(legacy).transpose(2, 0, 1)[None, :, :, :, None] + assert_render_allclose( + unified_result.images, + expected, + "legacy_stereo_adapter", + rtol=0.0, + atol=0.0, + ) + + +def test_unified_deformation_matches_legacy_scene(tmp_path: Path) -> None: + """The adapter's deformation stack matches Blender's active scene method.""" + camera = _camera() + mesh = _mesh(camera) + light = render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 400.0)), + np.zeros(3), + 1.0, + ) + unified_result = render.Blender( + render.BlenderConfig( + tmp_path / "unified", + threads=1, + render_deformed=True, + ) + ).render(render.Scene3D([mesh], [camera], [light])) + assert unified_result.images is not None + + legacy_mesh = _triangulate_mesh_for_blender(mesh) + scene = legacy_blender.Scene() + part = scene.add_part(legacy_mesh, 3) + scene.add_speckle( + part, + mesh.shader.image_path, + legacy_blender.MaterialData(), + mesh.shader.millimetres_per_pixel, + ) + scene.add_camera(camera) + scene.add_light( + legacy_blender.LightData( + light.pos_world, + Rotation.identity(), + light.intensity, + legacy_blender.LightType.POINT, + ) + ) + legacy_dir = tmp_path / "legacy" + legacy_dir.mkdir() + centred_mesh = render.Mesh3D( + legacy_mesh.element_type, + centre_mesh_nodes(legacy_mesh.coords.copy(), 3), + legacy_mesh.connectivity, + legacy_mesh.shader, + legacy_mesh.displacements, + ) + legacy = scene.render_deformed_images( + centred_mesh, + 3, + legacy_blender.RenderData(camera, legacy_dir, threads=1), + part, + ) + expected = np.asarray(legacy).transpose(2, 0, 1)[:, None, :, :, None] + assert_render_allclose( + unified_result.images, + expected, + "legacy_deformation_adapter", + rtol=0.0, + atol=0.0, + ) + + +def test_calibration_target_rendering(tmp_path: Path) -> None: + """The migrated calibration target workflow writes stereo TIFF pairs.""" + camera = _camera() + stereo_cameras = render.stereo_build_faceon(camera, 15.0) + result = render.render_calibration_images( + render.BlenderCalibrationTarget( + np.array((15.0, 10.0, 1.0)), + dataset.cal_target(), + 0.1, + ), + stereo_cameras, + render.BlenderConfig(tmp_path, threads=1), + render.BlenderCalibrationData( + angle_lims=(0.0, 0.0), + angle_step=1.0, + plunge_lims=(0.0, 0.0), + plunge_step=1.0, + x_limit=0.0, + y_limit=0.0, + ), + [ + render.Light( + render.ELightType.POINT, + np.array((0.0, 0.0, 200.0)), + np.zeros(3), + 1.0, + ) + ], + ) + assert result.images is None + assert len(result.output_paths) == 18 + assert all(path.is_file() for path in result.output_paths) diff --git a/tests/render/test_cameratools.py b/tests/render/test_cameratools.py new file mode 100644 index 000000000..7acd9c421 --- /dev/null +++ b/tests/render/test_cameratools.py @@ -0,0 +1,309 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Analytic tests for camera placement, orientation, projection, and framing.""" + +import numpy as np +import pytest +import riley +from scipy.spatial.transform import Rotation + +import pyvale.render as render + + +def _make_test_camera( + pos=(0.0, 0.0, 2.0), + pixels_num=(512, 512), + pixels_size=(0.02, 0.02), + focal_length=1.0, +) -> render.Camera: + return render.Camera( + pixels_num=np.array(pixels_num), + pixels_size=np.array(pixels_size), + pos_world=np.array(pos, dtype=np.float64), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=focal_length, + ) + + +def test_cam_look_at_optical_axis_alignment() -> None: + """Verify camera basis points towards target and basis is orthonormal.""" + cam = _make_test_camera(pos=(0.0, 0.0, 10.0)) + oriented = render.cam_look_at(cam, target=np.zeros(3)) + + # Look along -Z: rot_world should be identity + rot_mat = oriented.rot_world.as_matrix() + np.testing.assert_allclose(rot_mat, np.eye(3), atol=1.0e-12) + assert np.isclose(np.linalg.det(rot_mat), 1.0) + + +def test_cam_look_at_arbitrary_target() -> None: + """Look from (1, 2, 3) to (4, 6, 3) with view vector (3, 4, 0).""" + cam = _make_test_camera(pos=(1.0, 2.0, 3.0)) + oriented = render.cam_look_at(cam, target=np.array((4.0, 6.0, 3.0))) + + rot_mat = oriented.rot_world.as_matrix() + # Camera forward is -Z in camera coords, which must equal (3, 4, 0) / 5 + z_cam = rot_mat[:, 2] + expected_forward = np.array([3.0, 4.0, 0.0]) / 5.0 + np.testing.assert_allclose(-z_cam, expected_forward, atol=1.0e-12) + + +def test_cam_look_at_degeneracy_raises() -> None: + """Coincident camera position and target raises ValueError.""" + cam = _make_test_camera(pos=(1.0, 2.0, 3.0)) + with pytest.raises(ValueError, match="coincident"): + render.cam_look_at(cam, target=np.array((1.0, 2.0, 3.0))) + + +def test_cam_project_points_optical_axis_centers() -> None: + """A point on optical axis projects to image center (cx, cy).""" + cam = _make_test_camera( + pos=(0.0, 0.0, 2.0), + pixels_num=(512, 512), + pixels_size=(0.02, 0.02), + focal_length=1.0, + ) + # Point at (0, 0, 0) lies on optical axis at depth 2.0 + px = render.cam_project_points(cam, np.array([[0.0, 0.0, 0.0]])) + np.testing.assert_allclose(px[0], np.array([256.0, 256.0]), atol=1.0e-12) + + +def test_cam_project_points_perspective_depth_scaling() -> None: + """Projected offset from center scales inversely with depth (1/z).""" + cam = _make_test_camera( + pos=(0.0, 0.0, 10.0), + pixels_num=(512, 512), + pixels_size=(0.02, 0.02), + focal_length=1.0, + ) + # Point 1 at depth = 2.0 (z=8.0), offset x=1.0 + p1 = np.array([[1.0, 0.0, 8.0]]) + # Point 2 at depth = 4.0 (z=6.0), offset x=1.0 + p2 = np.array([[1.0, 0.0, 6.0]]) + + px1 = render.cam_project_points(cam, p1)[0] + px2 = render.cam_project_points(cam, p2)[0] + + offset1 = px1[0] - 256.0 + offset2 = px2[0] - 256.0 + + # offset1 / offset2 should be depth2 / depth1 = 4.0 / 2.0 = 2.0 + assert np.isclose(offset1 / offset2, 2.0) + + +def test_cam_frame_mesh_and_scene() -> None: + """Framing a mesh and framing a scene produce valid camera positions.""" + coords = np.array([[-1.0, -1.0, 0.0], [1.0, -1.0, 0.0], [0.0, 1.0, 0.0]]) + mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=np.array([[0, 1, 2]], dtype=np.uintp), + shader=None, + ) + cam = _make_test_camera(pos=(0.0, 0.0, 2.0)) + + fov_scale = render.cam_coverage_to_fov_scale(0.9) + framed_mesh = render.cam_frame_mesh(cam, mesh, fov_scale=fov_scale) + assert framed_mesh.pos_world[2] > 0.0 + + framed_scene = render.cam_frame_scene( + cam, + [mesh], + fov_scale=fov_scale, + ) + np.testing.assert_allclose(framed_scene.pos_world, framed_mesh.pos_world) + + +def test_cam_frame_mesh_matches_riley_for_oblique_camera() -> None: + """PyVale delegates oblique framing to Riley with converted angles.""" + coords = np.array( + ( + (-2.0, -1.0, -0.2), + (2.0, -1.0, -0.2), + (2.0, 1.0, 0.2), + (-2.0, 1.0, 0.2), + ) + ) + mesh = render.Mesh3D( + element_type=render.EElementType.QUAD4, + coords=coords, + connectivity=np.array(((0, 1, 2, 3),), dtype=np.uintp), + shader=None, + ) + camera = _make_test_camera(pixels_num=(640, 480)) + camera.rot_world = Rotation.from_euler( + "xyz", + (12.0, -20.0, 4.0), + degrees=True, + ) + + fov_scale = render.cam_coverage_to_fov_scale(0.8) + framed = render.cam_frame_mesh(camera, mesh, fov_scale=fov_scale) + rotation_xyz = camera.rot_world.as_euler("xyz") + expected = riley.pos_frame_coords( + coords, + tuple(camera.pixels_num), + tuple(camera.pixels_size), + camera.focal_length, + tuple(rotation_xyz[::-1]), + fov_scale=fov_scale, + fit_mode=riley.FrameFitMode.contain, + ) + + np.testing.assert_allclose(framed.pos_world, expected) + + +def test_cam_frame_mesh_fov_scale_controls_camera_distance() -> None: + """A larger field-of-view scale moves the camera away from the target.""" + coords = np.array( + ((-1.0, -1.0, 0.0), (1.0, -1.0, 0.0), (0.0, 1.0, 0.0)) + ) + mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=np.array(((0, 1, 2),), dtype=np.uintp), + shader=None, + ) + camera = _make_test_camera() + + framed_full = render.cam_frame_mesh(camera, mesh, fov_scale=1.0) + framed_border = render.cam_frame_mesh( + camera, + mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.9), + ) + + assert framed_border.pos_world[2] > framed_full.pos_world[2] + + +def test_cam_coverage_and_fov_scale_round_trip() -> None: + """Coverage conversion follows Riley's reciprocal convention.""" + fov_scale = render.cam_coverage_to_fov_scale(0.8) + + assert fov_scale == pytest.approx(1.25) + assert render.cam_fov_scale_to_coverage(fov_scale) == pytest.approx(0.8) + + +def test_cam_image_scale_matches_analytic_pinhole_reference() -> None: + """ROI image scale equals distance times pixel pitch over focal length.""" + camera = _make_test_camera( + pos=(0.0, 0.0, 20.0), + pixels_size=(0.1, 0.1), + focal_length=10.0, + ) + + leng_per_px = render.cam_calc_leng_per_px(camera) + + assert leng_per_px == pytest.approx(0.2) + assert render.cam_calc_px_per_leng(camera) == pytest.approx(5.0) + + +@pytest.mark.parametrize("fit_mode", tuple(render.EFrameFit)) +def test_cam_pos_frame_points_fit_modes_match_riley( + fit_mode: render.EFrameFit, +) -> None: + """Every public fit mode maps directly to Riley's native mode.""" + coords = np.array( + ((-2.0, -1.0, 0.0), (2.0, -1.0, 0.0), (2.0, 1.0, 0.0)) + ) + rotation = Rotation.from_euler("xyz", (4.0, 8.0, 12.0), degrees=True) + target = np.array((0.0, 0.0, 0.0)) + + position = render.cam_pos_frame_points( + coords, + np.array((640, 480)), + np.array((0.02, 0.02)), + 1.0, + rotation, + fov_scale=1.1, + fit_mode=fit_mode, + target=target, + ) + expected = riley.pos_frame_coords( + coords, + (640, 480), + (0.02, 0.02), + 1.0, + tuple(rotation.as_euler("xyz")[::-1]), + fov_scale=1.1, + fit_mode=riley.FrameFitMode(int(fit_mode)), + target=tuple(target), + ) + + np.testing.assert_allclose(position, expected) + + +def test_stereo_build_symmetric_and_faceon() -> None: + """Verify stereo baseline and symmetric / face-on angles.""" + cam = _make_test_camera(pos=(0.0, 0.0, 10.0)) + angle = 20.0 + + cam_0_sym, cam_1_sym = render.stereo_build_symmetric(cam, angle) + half_angle_rad = np.radians(angle / 2.0) + expected_baseline = 2.0 * 10.0 * np.tan(half_angle_rad) + actual_baseline = ( + cam_1_sym.pos_world[0] - cam_0_sym.pos_world[0] + ) + assert np.isclose(actual_baseline, expected_baseline) + + cam_0_faceon, cam_1_faceon = render.stereo_build_faceon(cam, angle) + expected_faceon_base = 10.0 * np.tan(np.radians(angle)) + actual_faceon_base = ( + cam_1_faceon.pos_world[0] - cam_0_faceon.pos_world[0] + ) + assert np.isclose(actual_faceon_base, expected_faceon_base) + + +def test_stereo_geometry_helpers_use_documented_pose_convention() -> None: + """Stereo geometry is reported from camera zero to camera one.""" + cam_0 = _make_test_camera(pos=(0.0, 0.0, 10.0)) + cam_1 = _make_test_camera(pos=(2.0, 0.0, 10.0)) + + extrinsics = render.stereo_calc_extrinsics(cam_0, cam_1) + angles = render.stereo_calc_angles(cam_0, cam_1) + + np.testing.assert_allclose( + extrinsics.translation_cam1_in_cam0, + np.array((-2.0, 0.0, 0.0)), + ) + assert extrinsics.rotation_cam1_from_cam0.approx_equal(Rotation.identity()) + assert np.isclose(render.stereo_calc_baseline(cam_0, cam_1), 2.0) + assert np.isclose( + render.stereo_calc_stand_off(cam_0, cam_1, np.array((1.0, 0.0, 0.0))), + 10.0, + ) + np.testing.assert_allclose(angles.relative_euler_xyz_degrees, np.zeros(3)) + assert np.isclose(angles.convergence_degrees, 0.0) + + +def test_cam_pos_frame_points() -> None: + """Verify point framing with tuple and Rotation inputs.""" + coords = np.array([[-1.0, -1.0, 0.0], [1.0, -1.0, 0.0], [0.0, 1.0, 0.0]]) + pixels_num = (512, 512) + pixels_size = (0.02, 0.02) + focal_length = 1.0 + + pos_tuple = render.cam_pos_frame_points( + coords, + pixels_num, + pixels_size, + focal_length, + (0.0, 0.0, 0.0), + 1.0, + ) + assert pos_tuple.shape == (3,) + assert pos_tuple[2] > 0.0 + + pos_rot = render.cam_pos_frame_points( + coords, + pixels_num, + pixels_size, + focal_length, + Rotation.identity(), + 1.0, + ) + np.testing.assert_allclose(pos_tuple, pos_rot, atol=1.0e-12) diff --git a/tests/render/test_feebee.py b/tests/render/test_feebee.py new file mode 100644 index 000000000..3908d7c70 --- /dev/null +++ b/tests/render/test_feebee.py @@ -0,0 +1,123 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Contract tests for the Feebee renderer scaffold.""" + +import numpy as np +import pytest +from scipy.spatial.transform import Rotation + +import pyvale.render as render + + +def make_camera() -> render.Camera: + """Create a small valid perspective camera.""" + return render.Camera( + pixels_num=np.array((16, 16)), + pixels_size=np.array((0.1, 0.1)), + pos_world=np.array((0.0, 0.0, 2.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=1.0, + ) + + +def make_mesh(shader: object) -> render.Mesh3D: + """Create a valid front-facing triangular render mesh.""" + return render.Mesh3D( + render.EElementType.TRI3, + np.array(((-1.0, -1.0, 0.0), (1.0, -1.0, 0.0), (0.0, 1.0, 0.0))), + np.array(((0, 1, 2),)), + shader, + ) + + +def test_feebee_validates_scene_before_backend_dispatch() -> None: + """Valid input reaches the intentional unavailable-backend boundary.""" + shader = render.FeebeeColourShader(np.ones((1, 1, 3))) + renderer = render.Feebee() + + scene = render.Scene3D([make_mesh(shader)], [make_camera()]) + renderer.verify_input(scene) + + with pytest.raises(NotImplementedError, match="compiled rendering backend"): + renderer._render(scene) + + +def test_feebee_aggregates_unsupported_scene_features() -> None: + """Feebee rejects invalid material and explicit lights before rendering.""" + material = render.FeebeeMaterial( + material_type=render.EFeebeeMaterialType.REFRACTIVE, + ) + shader = render.FeebeeColourShader(np.ones((1, 1, 3)), material) + light = render.Light( + render.ELightType.POINT, + np.zeros(3), + np.array((0.0, 0.0, -1.0)), + 1.0, + ) + + with pytest.raises(render.RenderInputError) as exception: + render.Feebee().verify_input( + render.Scene3D( + (make_mesh(shader),), + (make_camera(),), + (light,), + ) + ) + + assert {issue.code for issue in exception.value.issues} == { + "UNSUPPORTED", + "VALUE", + } + + +def test_feebee_checks_higher_order_connectivity() -> None: + """Feebee detects topology data that disagrees with its element type.""" + mesh = make_mesh(render.FeebeeColourShader(np.ones((1, 1, 3)))) + mesh.element_type = render.EElementType.QUAD9 + + with pytest.raises(render.RenderInputError, match="9 nodes"): + render.Feebee().verify_input(render.Scene3D([mesh], [make_camera()])) + + +def test_feebee_texture_shader_accepts_nodal_uvs() -> None: + """Feebee accepts its backend-owned texture shader representation.""" + shader = render.FeebeeTextureShader( + np.array(((0.0, 0.0), (1.0, 0.0), (0.5, 1.0))), + np.ones((4, 4)), + ) + + render.Feebee().verify_input( + render.Scene3D( + (make_mesh(shader),), + (make_camera(),), + ) + ) + + +def test_feebee_uses_a_static_colour_field_with_an_animated_mesh() -> None: + """A single colour frame remains valid for every displacement frame.""" + mesh = make_mesh(render.FeebeeColourShader(np.ones((1, 1, 3)))) + mesh.displacements = np.zeros((2, 3, 3)) + + render.Feebee().verify_input(render.Scene3D([mesh], [make_camera()])) + + +def test_feebee_reports_non_numeric_material_data_cleanly() -> None: + """A malformed material is a validation issue rather than a type error.""" + material = render.FeebeeMaterial( + material_type=render.EFeebeeMaterialType.REFRACTIVE, + refractive_index="invalid", # type: ignore[arg-type] + ) + shader = render.FeebeeColourShader(np.ones((1, 1, 3)), material) + + with pytest.raises(render.RenderInputError, match="refractive_index"): + render.Feebee().verify_input( + render.Scene3D( + (make_mesh(shader),), + (make_camera(),), + ) + ) diff --git a/tests/render/test_imagetools.py b/tests/render/test_imagetools.py new file mode 100644 index 000000000..ab306d110 --- /dev/null +++ b/tests/render/test_imagetools.py @@ -0,0 +1,70 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Analytic tests for image loading, saving, cropping, normalisation.""" + +from pathlib import Path + +import numpy as np +import pytest + +import pyvale.render as render + + +def test_image_crop_analytic() -> None: + """Cropping a grid subarray extracts exact pixel values.""" + img = np.arange(25, dtype=np.uint8).reshape(5, 5) + cropped = render.image_crop(img, x=1, y=2, width=3, height=2) + + expected = np.array([ + [11, 12, 13], + [16, 17, 18], + ], dtype=np.uint8) + np.testing.assert_array_equal(cropped, expected) + + +def test_image_crop_out_of_bounds_raises() -> None: + """Out-of-bounds crops raise ValueError.""" + img = np.zeros((10, 10), dtype=np.uint8) + with pytest.raises(ValueError, match="exceed image shape"): + render.image_crop(img, x=8, y=8, width=5, height=5) + + +def test_image_normalise() -> None: + """Min-max intensity scaling maps to specified range.""" + img = np.array([0.0, 5.0, 10.0]) + norm = render.image_normalise(img, lower=0.0, upper=1.0) + np.testing.assert_allclose(norm, np.array([0.0, 0.5, 1.0])) + + custom_norm = render.image_normalise(img, lower=100.0, upper=200.0) + np.testing.assert_allclose(custom_norm, np.array([100.0, 150.0, 200.0])) + + +def test_image_normalise_constant_image() -> None: + """Constant image normalises to lower bound.""" + img = np.full((4, 4), 42.0) + norm = render.image_normalise(img, lower=0.0, upper=1.0) + np.testing.assert_allclose(norm, np.zeros((4, 4))) + + +def test_image_grayscale() -> None: + """RGB to grayscale uses standard luminance formula.""" + rgb = np.zeros((1, 1, 3), dtype=np.uint8) + rgb[0, 0] = [255, 0, 0] # pure red + grey = render.image_grayscale(rgb) + assert np.isclose(grey[0, 0], 0.299 * 255.0) + + +def test_image_save_and_load_roundtrip(tmp_path: Path) -> None: + """Image save and load round-trip preserves values.""" + img = np.arange(100, dtype=np.uint8).reshape(10, 10) + out_file = tmp_path / "test_roundtrip.tiff" + + render.image_save(out_file, img, render.EImageType.TIFF, bits=8) + loaded = render.image_load(out_file) + + # Note: image_save flips vertically for standard image orientation + # image_load loads standard orientation + np.testing.assert_array_equal(loaded, img[::-1, :]) diff --git a/tests/render/test_meshtools.py b/tests/render/test_meshtools.py new file mode 100644 index 000000000..091d9123f --- /dev/null +++ b/tests/render/test_meshtools.py @@ -0,0 +1,173 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Analytic tests for mesh transformation and frame helpers.""" + +import numpy as np +import pytest +from scipy.spatial.transform import Rotation + +import pyvale.render as render + + +def _make_sample_mesh3d() -> render.Mesh3D: + coords = np.array([ + [-2.0, -3.0, -4.0], + [5.0, 7.0, 11.0], + [1.0, 2.0, 3.0], + ]) + connect = np.array([[0, 1, 2]], dtype=np.uintp) + return render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=connect, + shader=None, + ) + + +def test_mesh_bounds_and_center_analytic() -> None: + """Verify exact min/max bounds and bounding box center.""" + mesh = _make_sample_mesh3d() + lower, upper = render.mesh_bounds(mesh) + np.testing.assert_allclose(lower, np.array([-2.0, -3.0, -4.0])) + np.testing.assert_allclose(upper, np.array([5.0, 7.0, 11.0])) + + center = render.mesh_center(mesh) + np.testing.assert_allclose(center, np.array([1.5, 2.0, 3.5])) + + +def test_mesh_translate_preserves_purity_and_vectors() -> None: + """Translation shifts coordinates without modifying displacements.""" + mesh = _make_sample_mesh3d() + mesh.displacements = np.ones((1, 3, 3)) + + offset = np.array((10.0, -2.0, 5.0)) + moved = render.mesh_translate(mesh, offset) + + expected_coords = mesh.coords + np.array(offset) + np.testing.assert_allclose(moved.coords, expected_coords) + np.testing.assert_allclose(moved.displacements, mesh.displacements) + # Check original was not mutated + assert not np.array_equal(mesh.coords, moved.coords) + + +def test_mesh_rotate_z_axis_90_degrees() -> None: + """Rotate (1, 0, 0) by 90 deg about Z -> (0, 1, 0).""" + coords = np.array([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0]]) + mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=np.array([[0, 1, 0]], dtype=np.uintp), + shader=None, + ) + rot = Rotation.from_euler("z", 90.0, degrees=True) + rotated = render.mesh_rotate(mesh, rot) + + expected = np.array([[0.0, 1.0, 0.0], [-1.0, 0.0, 0.0]]) + np.testing.assert_allclose(rotated.coords, expected, atol=1.0e-12) + + +def test_mesh_rotate_with_pivot() -> None: + """Rotate (2, 0, 0) around pivot (1, 0, 0) by 180 deg -> (0, 0, 0).""" + coords = np.array([[2.0, 0.0, 0.0]]) + mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=np.array([[0, 0, 0]], dtype=np.uintp), + shader=None, + ) + rot = Rotation.from_euler("z", 180.0, degrees=True) + rotated = render.mesh_rotate(mesh, rot, pivot=np.array((1.0, 0.0, 0.0))) + + expected = np.array([[0.0, 0.0, 0.0]]) + np.testing.assert_allclose(rotated.coords, expected, atol=1.0e-12) + + +def test_mesh_rotate_rotates_displacement_vectors() -> None: + """Displacement vector (1, 0, 0) rotated by 90 deg about Z -> (0, 1, 0).""" + mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=np.array([[0.0, 0.0, 0.0]]), + connectivity=np.array([[0, 0, 0]], dtype=np.uintp), + shader=None, + displacements=np.array([[[1.0, 0.0, 0.0]]]), + ) + rot = Rotation.from_euler("z", 90.0, degrees=True) + rotated = render.mesh_rotate(mesh, rot) + + expected_disp = np.array([[[0.0, 1.0, 0.0]]]) + np.testing.assert_allclose( + rotated.displacements, expected_disp, atol=1.0e-12 + ) + + +def test_mesh_scale_uniform_and_axes() -> None: + """Scale coordinates uniformly and along axes.""" + coords = np.array([[1.0, 2.0, 3.0]]) + mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=np.array([[0, 0, 0]], dtype=np.uintp), + shader=None, + ) + scaled_uniform = render.mesh_scale(mesh, 2.0) + np.testing.assert_allclose( + scaled_uniform.coords, np.array([[2.0, 4.0, 6.0]]) + ) + + scaled_axes = render.mesh_scale(mesh, np.array((2.0, 3.0, 4.0))) + np.testing.assert_allclose(scaled_axes.coords, np.array([[2.0, 6.0, 12.0]])) + + +def test_mesh_center_at() -> None: + """Centering a mesh translates its center to the target.""" + mesh = _make_sample_mesh3d() + centered = render.mesh_center_at(mesh, np.zeros(3)) + np.testing.assert_allclose( + render.mesh_center(centered), np.zeros(3), atol=1.0e-12 + ) + + offset_target = np.array((10.0, 20.0, 30.0)) + placed = render.mesh_center_at(mesh, offset_target) + np.testing.assert_allclose( + render.mesh_center(placed), offset_target, atol=1.0e-12 + ) + + +def test_mesh_transform_composite() -> None: + """Scale, rotate, and translate in canonical order.""" + coords = np.array([[1.0, 0.0, 0.0]]) + mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=np.array([[0, 0, 0]], dtype=np.uintp), + shader=None, + ) + # 1. Scale by 2 -> (2, 0, 0) + # 2. Rotate 90 deg about Z -> (0, 2, 0) + # 3. Translate by (10, 0, 0) -> (10, 2, 0) + transformed = render.mesh_transform( + mesh, + translation=np.array((10.0, 0.0, 0.0)), + rotation=Rotation.from_euler("z", 90.0, degrees=True), + scale=2.0, + ) + expected = np.array([[10.0, 2.0, 0.0]]) + np.testing.assert_allclose(transformed.coords, expected, atol=1.0e-12) + + +def test_frame_index_helpers() -> None: + """Verify deterministic frame sampling and selection.""" + indices = render.evenly_spaced_frame_indices(10, 4) + np.testing.assert_array_equal(indices, np.array([0, 3, 6, 9])) + + fl_indices = render.first_last_frame_indices(10) + np.testing.assert_array_equal(fl_indices, np.array([0, 9])) + + frames = np.arange(50).reshape(10, 5) + selected = render.select_frames(frames, [0, 9]) + assert selected.shape == (2, 5) + np.testing.assert_array_equal(selected[0], frames[0]) + np.testing.assert_array_equal(selected[1], frames[9]) diff --git a/tests/render/test_rasterops.py b/tests/render/test_rasterops.py new file mode 100644 index 000000000..fe4258744 --- /dev/null +++ b/tests/render/test_rasterops.py @@ -0,0 +1,58 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Analytic tests for low-level raster operations.""" + +import numpy as np +import pytest + +from pyvale.render.rasterops import ( + calculate_edge_function, + calculate_elem_bound_box_high, + calculate_elem_bound_box_low, + format_image_number, +) + + +def test_edge_function_signs_and_zero() -> None: + """Verify positive, negative, and collinear points for 2D edge function.""" + point_a = np.array([0.0, 0.0]) + point_b = np.array([2.0, 0.0]) + + # Counter-clockwise / left side + point_left = np.array([1.0, 1.0]) + val_left = calculate_edge_function(point_a, point_b, point_left) + assert val_left < 0.0 + + # Clockwise / right side + point_right = np.array([1.0, -1.0]) + val_right = calculate_edge_function(point_a, point_b, point_right) + assert val_right > 0.0 + + # Collinear / exactly on the edge + point_on = np.array([1.0, 0.0]) + val_on = calculate_edge_function(point_a, point_b, point_on) + assert np.isclose(val_on, 0.0) + + +def test_elem_bound_box_low() -> None: + """Lower pixel bound floors coordinates and clips negative values to 0.""" + coords = np.array([[-1.5, 0.0, 2.3, 5.9]]) + low = calculate_elem_bound_box_low(coords) + np.testing.assert_array_equal(low, np.array([[0, 0, 2, 5]])) + + +def test_elem_bound_box_high() -> None: + """Upper pixel bound ceils coordinates and clips to image dimension.""" + coords = np.array([[1.2, 3.0, 10.5, 12.0]]) + high = calculate_elem_bound_box_high(coords, image_px=10) + np.testing.assert_array_equal(high, np.array([[2, 3, 10, 10]])) + + +def test_format_image_number() -> None: + """Verify zero-padding format.""" + assert format_image_number(0, width=4) == "0000" + assert format_image_number(42, width=4) == "0042" + assert format_image_number(1234, width=4) == "1234" diff --git a/tests/render/test_render_api.py b/tests/render/test_render_api.py new file mode 100644 index 000000000..f49ab83c0 --- /dev/null +++ b/tests/render/test_render_api.py @@ -0,0 +1,165 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Contract tests for the unified render public API.""" + +import numpy as np +import pytest +from scipy.spatial.transform import Rotation + +import pyvale.render as render + + +def make_camera() -> render.Camera: + """Create a small valid perspective camera.""" + return render.Camera( + pixels_num=np.array((16, 16)), + pixels_size=np.array((0.1, 0.1)), + pos_world=np.array((0.0, 0.0, 2.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=1.0, + ) + + +def make_mesh(shader: object) -> render.Mesh3D: + """Create a valid front-facing triangle mesh.""" + return render.Mesh3D( + render.EElementType.TRI3, + np.array(((-1.0, -1.0, 0.0), (1.0, -1.0, 0.0), (0.0, 1.0, 0.0))), + np.array(((0, 1, 2))), + shader, + ) + + +def test_render_utilities_are_available_at_the_render_package_level() -> None: + """Public helpers require no utility class or nested module lookup.""" + functions = ( + render.average_subpixel_image, + render.blender_camera_from_resolution, + render.calculate_edge_function, + render.cam_calc_leng_per_px, + render.cam_calc_px_per_leng, + render.cam_coverage_to_fov_scale, + render.cam_fov_scale_to_coverage, + render.cam_pos_frame_points, + render.uv_calc_texture_px_per_leng, + render.uv_map_planar_scaled, + render.stereo_build_faceon, + render.image_save, + ) + + assert all(callable(function) for function in functions) + + +def test_scene3d_keeps_mutable_scene_lists() -> None: + """Scene collections remain the caller's ordinary mutable lists.""" + meshes: list[object] = [] + cameras = [make_camera()] + + scene = render.Scene3D(meshes, cameras) + + assert scene.meshes is meshes + assert scene.cameras is cameras + + +class _FakeRenderer(render.IRenderer3D): + """Renderer spy used to enforce the template-method lifecycle.""" + + def __init__(self) -> None: + self.rendered = False + + def verify_input(self, scene: render.Scene3D) -> None: + if not scene.meshes: + raise render.RenderInputError(()) + + def _render(self, scene: render.Scene3D): + self.rendered = True + return render.RenderResult(np.zeros((1, 1, 1, 1, 1))) + + +def test_renderer_lifecycle_blocks_backend_after_validation_failure() -> None: + """The ABC must never invoke backend work when verification fails.""" + renderer = _FakeRenderer() + with pytest.raises(render.RenderInputError): + renderer.render(render.Scene3D([], [make_camera()])) + assert not renderer.rendered + + +def test_riley_rejects_lights_before_backend_call(monkeypatch) -> None: + """Unsupported lights fail before Riley mesh/camera conversion or rasterising.""" + import pyvale.render.riley as riley_adapter + + renderer = render.Riley(riley_adapter.riley.RasterConfig()) + light = render.Light( + render.ELightType.POINT, + np.zeros(3), + np.array((0.0, 0.0, -1.0)), + 1.0, + ) + with pytest.raises(render.RenderInputError, match="UNSUPPORTED"): + renderer.render(render.Scene3D([], [make_camera()], [light])) + + +def test_riley_rejects_meshes_outside_the_shared_convention() -> None: + """Native Riley input must obey the common winding convention.""" + import riley + + mesh = riley.Mesh( + riley.MeshType.tri3, + np.array(((0.0, 0.0, 0.0), (1.0, 0.0, 0.0), (0.0, 1.0, 0.0))), + np.array(((0, 2, 1),)), + ) + + with pytest.raises(render.RenderInputError, match="CONVENTION"): + render.Riley(riley.RasterConfig()).verify_input( + render.Scene3D([mesh], [make_camera()]), + ) + + +def test_mesh3d_from_simdata_normalises_displacement_layout() -> None: + """SimData displacement fields become frame-major renderer displacements.""" + from pyvale.dataio import SimData + + sim_data = SimData( + coords=np.array(((0.0, 0.0, 0.0), (1.0, 0.0, 0.0), (0.0, 1.0, 0.0))), + connect={"connect1": np.array(((0, 1, 2),))}, + node_vars={ + "x": np.array(((0.0, 1.0), (0.0, 1.0), (0.0, 1.0))), + "y": np.zeros((3, 2)), + "z": np.zeros((3, 2)), + }, + ) + mesh = render.mesh3d_from_simdata( + sim_data, + object(), + displacement_keys=("x", "y", "z"), + ) + assert mesh.displacements is not None + assert mesh.displacements.shape == (2, 3, 3) + assert mesh.displacements[1, 0, 0] == 1.0 + + +def test_mesh3d_from_simdata_extracts_a_volume_surface() -> None: + """A render Mesh3D is always a surface, even from volume SimData.""" + from pyvale.dataio import SimData + + sim_data = SimData( + coords=np.array( + ( + (0.0, 0.0, 0.0), + (1.0, 0.0, 0.0), + (0.0, 1.0, 0.0), + (0.0, 0.0, 1.0), + ) + ), + connect={"connect1": np.array(((0, 1, 2, 3),))}, + ) + + mesh = render.mesh3d_from_simdata(sim_data, object()) + + assert mesh.element_type is render.EElementType.TRI3 + assert mesh.coords.shape == (4, 3) + assert mesh.connectivity.shape == (4, 3) diff --git a/tests/render/test_render_checks.py b/tests/render/test_render_checks.py new file mode 100644 index 000000000..3e8b7205d --- /dev/null +++ b/tests/render/test_render_checks.py @@ -0,0 +1,26 @@ +"""Tests for render image-regression failure diagnostics.""" + +import numpy as np +import pytest + +from pyvale.verif.renderverif import assert_render_allclose + + +def test_failed_image_comparison_writes_all_diagnostics( + monkeypatch: pytest.MonkeyPatch, + tmp_path, +) -> None: + """A mismatch creates scaled TIFF and raw NumPy diagnostic images.""" + monkeypatch.chdir(tmp_path) + reference = np.zeros((4, 4)) + actual = np.ones((4, 4)) + + with pytest.raises(AssertionError, match="Render mismatch"): + assert_render_allclose(actual, reference, "test mismatch") + + directory = tmp_path / "render-fails/test_mismatch" + for name in ( + "render.npy", "reference.npy", "difference.npy", "render.tiff", + "reference.tiff", "difference.tiff", + ): + assert (directory / name).is_file() diff --git a/tests/render/test_render_conformance.py b/tests/render/test_render_conformance.py new file mode 100644 index 000000000..c61f35b3a --- /dev/null +++ b/tests/render/test_render_conformance.py @@ -0,0 +1,74 @@ +"""Cross-backend rendering conformance gold regressions.""" + +from pathlib import Path + +import numpy as np +import pytest + +import pyvale.render as render +from pyvale.verif.renderconformance import ( + IMAGE_SIZE, + RenderConformanceCase, + conformance_cases, + feebee_scene, + render_backend_case, +) +from pyvale.verif.renderverif import assert_render_allclose + + +GOLD_ROOT = Path(__file__).parent +BACKENDS = ( + "blender", + "riley", +) + + +@pytest.mark.parametrize( + "case", + conformance_cases(), + ids=lambda case: case.name, +) +@pytest.mark.parametrize("backend", BACKENDS) +def test_render_backend_conformance_gold( + backend: str, + case: RenderConformanceCase, + tmp_path: Path, +) -> None: + """Every functioning backend renders the canonical deforming Tri3 cases.""" + if backend == "blender" and not render.blender_available(): + pytest.skip("The optional Blender renderer backend is unavailable.") + + actual = render_backend_case(backend, case, tmp_path / backend / case.name) + expected = np.load( + GOLD_ROOT / f"gold_{backend}" / f"{case.name}.npy", + ) + + assert actual.shape == (2, 1, IMAGE_SIZE, IMAGE_SIZE, 1) + assert np.isfinite(actual).all() + assert not np.array_equal(actual[0], actual[1]) + + tolerance = 2.0 if backend == "blender" else 1.0e-9 + assert_render_allclose( + actual, + expected, + f"{backend}_{case.name}", + rtol=0.0, + atol=tolerance, + ) + + +@pytest.mark.parametrize( + "case", + conformance_cases(), + ids=lambda case: case.name, +) +def test_feebee_conformance_scene_reaches_backend_boundary( + case: RenderConformanceCase, +) -> None: + """Feebee accepts every case while its compiled backend is unavailable.""" + renderer = render.Feebee() + scene = feebee_scene(case) + + renderer.verify_input(scene) + with pytest.raises(NotImplementedError, match="compiled rendering backend"): + renderer._render(scene) diff --git a/tests/render/test_render_helpers_integration.py b/tests/render/test_render_helpers_integration.py new file mode 100644 index 000000000..bed882905 --- /dev/null +++ b/tests/render/test_render_helpers_integration.py @@ -0,0 +1,117 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Integration tests for consolidated render setup helper workflows.""" + +import numpy as np + +from scipy.spatial.transform import Rotation + +import pyvale.render as render +from pyvale.dataio.simdata import SimData + + +def _make_quad_simdata() -> SimData: + coords = np.array([ + [-10.0, -5.0, 0.0], + [10.0, -5.0, 0.0], + [10.0, 5.0, 0.0], + [-10.0, 5.0, 0.0], + ]) + connect = {"surf": np.array([[0, 1, 2, 3]], dtype=np.uintp)} + return SimData(coords=coords, connect=connect) + + +def test_workflow_single_planar_specimen() -> None: + """SimData -> mesh3d -> center_at -> UVs -> cam_look_at -> cam_frame.""" + sim = _make_quad_simdata() + mesh = render.mesh3d_from_simdata(sim, shader=None) + centered_mesh = render.mesh_center_at(mesh, np.zeros(3)) + + np.testing.assert_allclose( + render.mesh_center(centered_mesh), np.zeros(3), atol=1.0e-12 + ) + + uvs = render.uv_project_planar( + centered_mesh.coords, + plane=render.EUVPlane.XY, + texture_shape=(512, 512), + ) + assert uvs.shape == (4, 2) + assert np.all(uvs >= 0.0) and np.all(uvs <= 1.0) + + cam = render.Camera( + pixels_num=np.array([512, 512]), + pixels_size=np.array([0.02, 0.02]), + pos_world=np.array([0.0, 0.0, 50.0]), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=50.0e-3, + ) + + cam = render.cam_look_at(cam, target=render.mesh_center(centered_mesh)) + cam = render.cam_frame_mesh( + cam, + centered_mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.9), + ) + + scene = render.Scene3D(meshes=[centered_mesh], cameras=[cam]) + assert len(scene.meshes) == 1 + assert len(scene.cameras) == 1 + + +def test_workflow_multi_specimen_grid() -> None: + """scene_arrange_grid -> scene_bounds -> cam_frame_scene.""" + sim = _make_quad_simdata() + meshes = [render.mesh3d_from_simdata(sim, shader=None) for _ in range(4)] + + grid_meshes = render.scene_arrange_grid( + meshes, columns=2, spacing=np.array((5.0, 5.0)), center=True + ) + low, high = render.scene_bounds(grid_meshes) + assert low[0] < high[0] + assert low[1] < high[1] + + cam = render.Camera( + pixels_num=np.array([1024, 1024]), + pixels_size=np.array([0.02, 0.02]), + pos_world=np.array([0.0, 0.0, 100.0]), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=50.0e-3, + ) + cam = render.cam_frame_scene( + cam, + grid_meshes, + fov_scale=render.cam_coverage_to_fov_scale(0.95), + ) + assert cam.pos_world[2] > 0.0 + + +def test_workflow_stereo_setup() -> None: + """cam_frame_mesh -> stereo_build_symmetric.""" + sim = _make_quad_simdata() + mesh = render.mesh3d_from_simdata(sim, shader=None) + + cam = render.Camera( + pixels_num=np.array([512, 512]), + pixels_size=np.array([0.02, 0.02]), + pos_world=np.array([0.0, 0.0, 50.0]), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=50.0e-3, + ) + cam = render.cam_frame_mesh( + cam, + mesh, + fov_scale=render.cam_coverage_to_fov_scale(0.8), + ) + cam_0, cam_1 = render.stereo_build_symmetric(cam, convergence_degrees=15.0) + + assert cam_0.pos_world[0] < cam_1.pos_world[0] + assert np.isclose( + cam_0.pos_world[2], cam_1.pos_world[2] + ) diff --git a/tests/render/test_riley_integration.py b/tests/render/test_riley_integration.py new file mode 100644 index 000000000..161cfe94e --- /dev/null +++ b/tests/render/test_riley_integration.py @@ -0,0 +1,128 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================ +"""Real Riley integration and golden-regression tests.""" + +from pathlib import Path + +import numpy as np +from scipy.spatial.transform import Rotation + +import pyvale.render as render +import pyvale.verif.renderverif as renderverif +import riley + +from pyvale.verif.renderverif import assert_render_allclose + + +def test_common_camera_reorders_scipy_angles_for_riley() -> None: + """Riley receives its native Z-Y-X angle storage order.""" + camera = render.Camera( + pixels_num=np.array((32, 32)), + pixels_size=np.array((0.02, 0.02)), + pos_world=np.array((0.0, 0.0, 2.0)), + rot_world=Rotation.from_euler( + "xyz", + (10.0, 20.0, 30.0), + degrees=True, + ), + roi_cent_world=np.zeros(3), + focal_length=1.0, + ) + + native = render.to_riley_camera(camera) + + np.testing.assert_allclose( + native.rot_world, + np.radians((30.0, 20.0, 10.0)), + ) + + +def test_riley_returns_canonical_image_layout() -> None: + """Riley's field-major buffer is normalised by the pyvale adapter.""" + mesh = riley.Mesh( + riley.MeshType.tri3, + np.array(((-1.0, -1.0, 0.0), (1.0, -1.0, 0.0), (0.0, 1.0, 0.0))), + np.array(((0, 1, 2),)), + shader_type=riley.ShaderType.func, + func_shader_builtin=riley.FuncShaderBuiltin.constant, + func_shader_coord_mode=riley.FuncCoordMode.world_reference, + ) + camera = render.Camera( + pixels_num=np.array((32, 32)), + pixels_size=np.array((0.02, 0.02)), + pos_world=np.array((0.0, 0.0, 2.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=1.0, + ) + config = riley.create_raster_config( + 1, save_strategy=riley.SaveStrategy.memory + ) + result = render.Riley(config).render(render.Scene3D([mesh], [camera])) + assert result.images is not None + assert result.images.shape == (1, 1, 32, 32, 1) + + +def test_common_mesh_matches_native_riley_mesh() -> None: + """Mesh3D conversion preserves native Riley rendering exactly.""" + coords = np.array(((-1.0, -1.0, 0.0), (1.0, -1.0, 0.0), (0.0, 1.0, 0.0))) + connectivity = np.array(((0, 1, 2),)) + native_mesh = riley.Mesh( + riley.MeshType.tri3, + coords, + connectivity, + shader_type=riley.ShaderType.func, + func_shader_builtin=riley.FuncShaderBuiltin.checker, + func_shader_coord_mode=riley.FuncCoordMode.world_reference, + ) + common_mesh = render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=connectivity, + shader=render.RileyFunctionShader( + builtin=riley.FuncShaderBuiltin.checker, + coord_mode=riley.FuncCoordMode.world_reference, + ), + ) + camera = render.Camera( + pixels_num=np.array((32, 32)), + pixels_size=np.array((0.02, 0.02)), + pos_world=np.array((0.0, 0.0, 2.0)), + rot_world=Rotation.identity(), + roi_cent_world=np.zeros(3), + focal_length=1.0, + ) + + def render_mesh(mesh: object) -> np.ndarray: + config = riley.create_raster_config( + 1, + total_threads=1, + save_strategy=riley.SaveStrategy.memory, + ) + result = render.Riley(config).render(render.Scene3D([mesh], [camera])) + assert result.images is not None + return result.images + + np.testing.assert_array_equal( + render_mesh(common_mesh), + render_mesh(native_mesh), + ) + + +def test_riley_rabbit_multimesh_golden_regression() -> None: + """The Riley rabbit multi-mesh scene remains deterministic end-to-end.""" + result = render.Riley(renderverif.riley_memory_config()).render( + renderverif.riley_rabbit_scene(), + ) + assert result.images is not None + golden_path = Path(__file__).parent / "gold_riley" / "rabbits.npy" + assert_render_allclose( + result.images, + np.load(golden_path), + "riley_rabbit_multimesh", + rtol=0.0, + atol=0.0, + ) diff --git a/tests/render/test_scenetools.py b/tests/render/test_scenetools.py new file mode 100644 index 000000000..5bc4e6fee --- /dev/null +++ b/tests/render/test_scenetools.py @@ -0,0 +1,139 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== +"""Analytic tests for multi-object scene placement and spatial layout.""" + +import numpy as np +import pytest +from scipy.spatial.transform import Rotation + +import pyvale.render as render + + +def _make_unit_box(center: tuple[float, float, float]) -> render.Mesh3D: + cx, cy, cz = center + coords = np.array([ + [cx - 0.5, cy - 0.5, cz - 0.5], + [cx + 0.5, cy - 0.5, cz - 0.5], + [cx + 0.5, cy + 0.5, cz + 0.5], + ]) + return render.Mesh3D( + element_type=render.EElementType.TRI3, + coords=coords, + connectivity=np.array([[0, 1, 2]], dtype=np.uintp), + shader=None, + ) + + +def test_scene_bounds_and_center() -> None: + """Scene bounds compute componentwise min/max over all meshes.""" + m1 = _make_unit_box((-2.0, 0.0, 0.0)) # x in [-2.5, -1.5] + m2 = _make_unit_box((3.0, 0.0, 0.0)) # x in [2.5, 3.5] + + lower, upper = render.scene_bounds([m1, m2]) + np.testing.assert_allclose(lower, np.array([-2.5, -0.5, -0.5])) + np.testing.assert_allclose(upper, np.array([3.5, 0.5, 0.5])) + + sc = render.scene_center([m1, m2]) + np.testing.assert_allclose(sc, np.array([0.5, 0.0, 0.0])) + + +def test_scene_translate_and_rotate() -> None: + """Scene transforms move all meshes while preserving relative distances.""" + m1 = _make_unit_box((-1.0, 0.0, 0.0)) + m2 = _make_unit_box((1.0, 0.0, 0.0)) + + translated = render.scene_translate( + [m1, m2], + np.array((5.0, 10.0, 0.0)), + ) + np.testing.assert_allclose( + render.mesh_center(translated[0]), np.array([4.0, 10.0, 0.0]) + ) + np.testing.assert_allclose( + render.mesh_center(translated[1]), np.array([6.0, 10.0, 0.0]) + ) + + rot = Rotation.from_euler("z", 90.0, degrees=True) + rotated = render.scene_rotate( + [m1, m2], + rot, + pivot=np.zeros(3), + ) + np.testing.assert_allclose( + render.mesh_center(rotated[0]), np.array([0.0, -1.0, 0.0]), atol=1.0e-12 + ) + np.testing.assert_allclose( + render.mesh_center(rotated[1]), np.array([0.0, 1.0, 0.0]), atol=1.0e-12 + ) + + +def test_scene_arrange_points() -> None: + """Placing meshes at explicit points aligns bounding-box centers.""" + meshes = [_make_unit_box((0, 0, 0)) for _ in range(3)] + targets = np.array( + ((10.0, 0.0, 0.0), (20.0, 5.0, 0.0), (30.0, -5.0, 0.0)) + ) + + arranged = render.scene_arrange_points(meshes, targets) + for mesh, target in zip(arranged, targets, strict=True): + np.testing.assert_allclose( + render.mesh_center(mesh), target, atol=1.0e-12 + ) + + +def test_scene_arrange_line_spacing() -> None: + """Verify gap spacing between adjacent mesh bounding boxes.""" + # Two unit boxes (width=1.0) with spacing=2.0 -> center-to-center = 3.0 + m1 = _make_unit_box((0, 0, 0)) + m2 = _make_unit_box((0, 0, 0)) + + arranged = render.scene_arrange_line([m1, m2], axis=0, spacing=2.0) + c1 = render.mesh_center(arranged[0]) + c2 = render.mesh_center(arranged[1]) + + assert np.isclose(c2[0] - c1[0], 3.0) + + +def test_scene_arrange_grid_2x2() -> None: + """Verify 2x2 grid layout and centering.""" + meshes = [_make_unit_box((0, 0, 0)) for _ in range(4)] + arranged = render.scene_arrange_grid( + meshes, columns=2, spacing=np.array((1.0, 1.0)), center=True + ) + + centers = [render.mesh_center(m) for m in arranged] + # In a 2x2 grid of unit boxes with gap 1.0, centers should be at +/-1.0 + np.testing.assert_allclose(centers[0][:2], np.array([-1.0, -1.0])) + np.testing.assert_allclose(centers[1][:2], np.array([1.0, -1.0])) + np.testing.assert_allclose(centers[2][:2], np.array([-1.0, 1.0])) + np.testing.assert_allclose(centers[3][:2], np.array([1.0, 1.0])) + + # Scene center must be at origin + np.testing.assert_allclose( + render.scene_center(arranged), np.zeros(3), atol=1.0e-12 + ) + + +def test_scene_arrange_circle() -> None: + """Verify 4 objects arranged on circle of radius R.""" + radius = 50.0 + meshes = [_make_unit_box((0, 0, 0)) for _ in range(4)] + arranged = render.scene_arrange_circle(meshes, radius=radius, plane="xy") + + centers = [render.mesh_center(m) for m in arranged] + # Angles: 0, 90, 180, 270 deg + np.testing.assert_allclose( + centers[0], np.array([radius, 0.0, 0.0]), atol=1.0e-12 + ) + np.testing.assert_allclose( + centers[1], np.array([0.0, radius, 0.0]), atol=1.0e-12 + ) + np.testing.assert_allclose( + centers[2], np.array([-radius, 0.0, 0.0]), atol=1.0e-12 + ) + np.testing.assert_allclose( + centers[3], np.array([0.0, -radius, 0.0]), atol=1.0e-12 + ) diff --git a/tests/render/test_uvtools.py b/tests/render/test_uvtools.py new file mode 100644 index 000000000..5cf5dbe1f --- /dev/null +++ b/tests/render/test_uvtools.py @@ -0,0 +1,250 @@ +# ============================================================================ +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 The Computer Aided Validation Team +# ============================================================================ + +"""Tests for renderer-independent UV generation and transforms.""" + +from __future__ import annotations + +import numpy as np +import pytest +import riley + +from pyvale import render + + +RECTANGLE = np.array( + ((0.0, 0.0, 0.0), (2.0, 0.0, 0.0), + (2.0, 1.0, 0.0), (0.0, 1.0, 0.0)), +) + + +def test_pixel_uv_round_trip_for_both_origins() -> None: + pixels = np.array(((0.0, 0.0), (200.0, 100.0), (81.5, 22.25))) + for origin in render.EUVOrigin: + uvs = render.uv_from_pixels(pixels, (101, 201), origin) + actual = render.uv_to_pixels(uvs, (101, 201), origin) + assert np.allclose(actual, pixels) + assert actual.flags.c_contiguous + assert actual.dtype == np.float64 + + +@pytest.mark.parametrize( + ("plane", "coords"), + ( + (render.EUVPlane.XY, RECTANGLE), + (render.EUVPlane.YZ, RECTANGLE[:, (2, 0, 1)]), + (render.EUVPlane.XZ, RECTANGLE[:, (0, 2, 1)]), + ), +) +def test_axis_aligned_projection(plane: render.EUVPlane, + coords: np.ndarray) -> None: + uvs = render.uv_project_planar_centered( + coords, (101, 201), span=0.8, plane=plane, + ) + assert uvs.shape == (4, 2) + assert np.all((uvs >= 0.0) & (uvs <= 1.0)) + assert np.isclose(np.ptp(uvs[:, 0]), 0.8) + assert np.isclose(np.ptp(uvs[:, 1]), 0.8) + + +def test_stretch_fills_requested_uv_bounds() -> None: + uvs = render.uv_project_planar( + RECTANGLE, + uv_bounds=(0.2, 0.1, 0.7, 0.9), + fit=render.EUVFit.STRETCH, + texture_shape=(101, 201), + ) + assert np.allclose(np.min(uvs, axis=0), (0.2, 0.1)) + assert np.allclose(np.max(uvs, axis=0), (0.7, 0.9)) + + +def test_custom_plane_with_up_controls_orientation() -> None: + angle = np.deg2rad(30.0) + axis_u = np.array((np.cos(angle), 0.0, -np.sin(angle))) + axis_v = np.array((0.0, 1.0, 0.0)) + normal = np.cross(axis_u, axis_v) + coords = RECTANGLE[:, [0]] * axis_u + RECTANGLE[:, [1]] * axis_v + plane = render.UVPlane(normal, np.zeros(3), up=axis_v) + uvs = render.uv_project_planar_centered( + coords, (101, 201), plane=plane, + ) + assert np.allclose(np.ptp(uvs, axis=0), (1.0, 1.0)) + + +def test_uv_transform_uses_scale_rotate_translate_order() -> None: + uvs = np.array(((0.5, 0.0), (1.0, 0.5))) + transformed = render.uv_transform( + uvs, + render.UVTransform( + translation=(0.1, -0.2), + rotation_degrees=90.0, + scale=(2.0, 1.0), + pivot=(0.5, 0.5), + ), + ) + assert np.allclose(transformed, ((1.1, 0.3), (0.6, 1.3))) + + +def test_feature_scale_conversions_match_analytic_reference() -> None: + """Texture, physical, and image feature scales remain consistent.""" + image_leng_per_px = 0.2 + image_px_per_feature = 5.0 + texture_px_per_feature = 10.0 + + feature_leng = render.uv_calc_feature_leng( + image_px_per_feature, + image_leng_per_px, + ) + texture_px_per_leng = render.uv_calc_texture_px_per_leng_from_image( + texture_px_per_feature, + image_px_per_feature, + image_leng_per_px, + ) + + assert feature_leng == pytest.approx(1.0) + assert texture_px_per_leng == pytest.approx(10.0) + assert render.uv_calc_image_px_per_feature( + feature_leng, + image_leng_per_px, + ) == pytest.approx(image_px_per_feature) + + +def test_scaled_planar_mapping_has_requested_texture_scale() -> None: + """A unit world displacement maps to the requested texture pixels.""" + texture = np.zeros((101, 201), dtype=np.uint8) + mapping = render.uv_map_planar_scaled( + RECTANGLE, + texture, + texture_px_per_leng=20.0, + ) + pixels = render.uv_to_pixels(mapping.uvs, texture.shape) + + assert np.ptp(pixels[:, 0]) == pytest.approx(40.0) + assert np.ptp(pixels[:, 1]) == pytest.approx(20.0) + assert mapping.texture is texture + assert mapping.tile_counts == (1, 1) + + +def test_scaled_planar_mapping_saturates_with_warning() -> None: + """The default bounds policy clips a mapping that exceeds its texture.""" + texture = np.zeros((11, 11), dtype=np.uint8) + with pytest.warns(UserWarning, match="saturated"): + mapping = render.uv_map_planar_scaled( + RECTANGLE, + texture, + texture_px_per_leng=20.0, + ) + + assert np.all((mapping.uvs >= 0.0) & (mapping.uvs <= 1.0)) + assert np.any((mapping.uvs == 0.0) | (mapping.uvs == 1.0)) + + +def test_scaled_planar_mapping_tiles_without_changing_scale() -> None: + """Tiling expands the texture and retains texture pixels per length.""" + texture = np.arange(121, dtype=np.uint8).reshape(11, 11) + mapping = render.uv_map_planar_scaled( + RECTANGLE, + texture, + texture_px_per_leng=20.0, + bounds=render.EUVBounds.TILED, + ) + pixels = render.uv_to_pixels(mapping.uvs, mapping.texture.shape[:2]) + + assert mapping.tile_counts == (5, 3) + assert mapping.texture.shape == (33, 55) + assert np.ptp(pixels[:, 0]) == pytest.approx(40.0) + assert np.ptp(pixels[:, 1]) == pytest.approx(20.0) + assert np.array_equal(mapping.texture[:11, :11], texture) + + +def test_riley_centered_projection_parity() -> None: + expected = riley.project_uvs_planar_centered( + RECTANGLE, + (201, 101), + uv_span_max=0.8, + proj_plane=riley.EProjPlane.XY, + ) + actual = render.uv_project_planar_centered( + RECTANGLE, + (101, 201), + span=0.8, + plane=render.EUVPlane.XY, + ) + assert np.allclose(actual, expected) + + +def test_riley_pixel_bounds_projection_parity() -> None: + expected = riley.project_uvs_planar_bbox( + RECTANGLE, + (201, 101), + (20.0, 10.0, 180.0, 90.0), + riley.EProjPlane.XY, + riley.EPlanarProjMode.FIT_X, + ) + actual = render.uv_project_planar_pixels( + RECTANGLE, + (101, 201), + (20.0, 10.0, 180.0, 90.0), + plane=render.EUVPlane.XY, + fit=render.EUVFit.FIT_U, + ) + assert np.allclose(actual, expected) + + +def test_riley_arbitrary_plane_projection_parity() -> None: + normal = np.array((0.2, -0.4, 1.0)) + origin = np.array((0.5, -0.25, 0.75)) + axis_u = np.cross(np.array((0.0, 0.0, 1.0)), normal) + axis_u /= np.linalg.norm(axis_u) + axis_v = np.cross(normal / np.linalg.norm(normal), axis_u) + coords = origin + RECTANGLE[:, [0]] * axis_u + RECTANGLE[:, [1]] * axis_v + expected = riley.project_uvs_planar_centered( + coords, + (201, 101), + uv_span_max=0.75, + proj_plane=(normal, origin), + ) + actual = render.uv_project_planar_centered( + coords, + (101, 201), + span=0.75, + plane=render.UVPlane(normal, origin), + ) + assert np.allclose(actual, expected) + + +def test_lower_left_origin_reverses_v_axis() -> None: + upper = render.uv_project_planar_centered( + RECTANGLE, (101, 201), origin=render.EUVOrigin.UPPER_LEFT, + ) + lower = render.uv_project_planar_centered( + RECTANGLE, (101, 201), origin=render.EUVOrigin.LOWER_LEFT, + ) + assert np.allclose(lower[:, 0], upper[:, 0]) + assert np.allclose(lower[:, 1], 1.0 - upper[:, 1]) + + +@pytest.mark.parametrize( + ("call", "message"), + ( + (lambda: render.uv_project_planar_centered( + RECTANGLE, (1, 10)), "at least 2"), + (lambda: render.uv_project_planar_centered( + RECTANGLE[:2], (10, 10)), "zero area"), + (lambda: render.uv_project_planar_centered( + RECTANGLE, (10, 10), span=0.0), "span"), + (lambda: render.uv_project_planar_centered( + RECTANGLE, (10, 10), plane=render.UVPlane( + np.zeros(3), np.zeros(3))), "nonzero"), + (lambda: render.uv_project_planar_centered( + RECTANGLE, (10, 10), plane=render.UVPlane( + np.array((0.0, 0.0, 1.0)), np.zeros(3), + np.array((0.0, 0.0, 2.0)))), "parallel"), + ), +) +def test_invalid_inputs(call: object, message: str) -> None: + with pytest.raises(ValueError, match=message): + call() diff --git a/tests/riley/test_pydemo_parity.py b/tests/riley/test_pydemo_parity.py new file mode 100644 index 000000000..8d6104f37 --- /dev/null +++ b/tests/riley/test_pydemo_parity.py @@ -0,0 +1,133 @@ +# ============================================================================== +# pyvale: the python validation engine +# License: MIT +# Copyright (C) 2026 Sceptical Rabbit (Lloyd Fletcher) +# ============================================================================== + +"""Byte-level parity checks between pyvale examples and native Riley demos. + +Each case renders one packaged Riley demo natively and then runs the matching +documented pyvale example, which rebuilds the same scene through the public +render API. The rendered output trees must contain identical files with +identical contents. +""" + +from __future__ import annotations + +import importlib +import runpy +import shutil +from collections.abc import Iterator +from pathlib import Path + +import pytest + + +_ROOT = Path(__file__).resolve().parents[2] +_EXAMPLES = _ROOT / "src" / "pyvale" / "examples" / "render3d" + +_CASES = ( + pytest.param( + "demo_sphere200", + "ex1b_riley_sphere200.py", + "out-riley-py/demo-sphere200", + "pyvale-output/render3d_ex1b_riley_sphere200", + id="sphere200", + ), + pytest.param( + "demo_rabbits", + "ex1c_riley_rabbits.py", + "out-riley-py/demo-rabbits", + "pyvale-output/render3d_ex1c_riley_rabbits", + id="rabbits", + ), + pytest.param( + "demo_dicuq", + "ex1d_riley_dicuq.py", + "out-riley-py/demo-dicuq", + "pyvale-output/render3d_ex1d_riley_dicuq", + id="dicuq", + ), + pytest.param( + "demo_dic_from_exodus", + "ex1e_riley_dic_from_exodus.py", + "out-riley-py/demo-dicuq-from-exodus", + "pyvale-output/render3d_ex1e_riley_dic_from_exodus", + id="dicuq-from-exodus", + ), + pytest.param( + "demo_stereocal", + "ex1f_riley_stereocal.py", + "out-riley-py/demo-stereocal", + "pyvale-output/render3d_ex1f_riley_stereocal", + id="stereocal", + ), + pytest.param( + "demo_psf", + "ex1g_riley_psf.py", + "out-riley-py/demo-psf", + "pyvale-output/render3d_ex1g_riley_psf", + id="psf", + ), +) + + +@pytest.fixture +def demo_directories(tmp_path: Path) -> Iterator[tuple[Path, Path]]: + """Provide isolated native and pyvale roots, then remove renders.""" + native_dir = tmp_path / "native" + pyvale_dir = tmp_path / "pyvale" + native_dir.mkdir() + pyvale_dir.mkdir() + yield native_dir, pyvale_dir + shutil.rmtree(native_dir, ignore_errors=True) + shutil.rmtree(pyvale_dir, ignore_errors=True) + + +@pytest.mark.riley +@pytest.mark.parametrize( + ("demo", "example", "native_out", "pyvale_out"), + _CASES, +) +def test_packaged_demo_matches_pyvale_example( + demo_directories: tuple[Path, Path], + monkeypatch: pytest.MonkeyPatch, + demo: str, + example: str, + native_out: str, + pyvale_out: str, +) -> None: + """Render one demo natively and through the documented pyvale example.""" + native_dir, pyvale_dir = demo_directories + + monkeypatch.chdir(native_dir) + importlib.import_module(f"riley.pydemos.{demo}").main() + + monkeypatch.chdir(pyvale_dir) + runpy.run_path(str(_EXAMPLES / example)) + + _assert_same_tree( + native_dir / native_out, + pyvale_dir / pyvale_out, + ) + + +def _assert_same_tree(native: Path, pyvale: Path) -> None: + """Require byte-identical render outputs in both output trees.""" + assert native.is_dir(), f"native render output missing: {native}" + assert pyvale.is_dir(), f"pyvale render output missing: {pyvale}" + + native_paths = sorted( + path.relative_to(native) for path in native.rglob("*") + ) + pyvale_paths = sorted( + path.relative_to(pyvale) for path in pyvale.rglob("*") + ) + assert native_paths == pyvale_paths + for relative_path in native_paths: + native_path = native / relative_path + if native_path.is_file(): + assert ( + native_path.read_bytes() + == (pyvale / relative_path).read_bytes() + ), f"render output differs: {relative_path}" diff --git a/tests/sensorsim/test_traceplotter.py b/tests/sensorsim/test_traceplotter.py index bec6028ef..c4383564d 100644 --- a/tests/sensorsim/test_traceplotter.py +++ b/tests/sensorsim/test_traceplotter.py @@ -4,7 +4,7 @@ import matplotlib.pyplot as plt import pyvale.mooseherder as mh -import pyvale.dataset as dataset +import pyvale.data as dataset from pyvale.sensorsim.visualopts import TraceOptsSensor diff --git a/tests/strain/test_strain.py b/tests/strain/test_strain.py index 771e40464..68346bf08 100644 --- a/tests/strain/test_strain.py +++ b/tests/strain/test_strain.py @@ -3,18 +3,13 @@ import numpy as np import pytest import scipy.linalg -import os -import glob from pathlib import Path #pyvale stuff import pyvale.dic as dic import pyvale.calib as calib import pyvale.strain as strain -import pyvale.dataset as dataset - - -TEST_DATA_DIR = Path(__file__).parent / "test" +import pyvale.data as dataset def generate_affine_displacement_grid(F, nx=100, ny=100): @@ -78,14 +73,15 @@ def reference_strain(F, formulation): [np.sin(np.pi/12), np.cos(np.pi/12)]])), ]) -def test_strain_deformations(strain_formulation, deformation_type, F): +def test_strain_deformations( + strain_formulation, + deformation_type, + F, + tmp_path: Path, +): # Generate displacement field X, Y, Ux, Uy = generate_affine_displacement_grid(F) - TEST_DATA_DIR.mkdir(exist_ok=True) - np.savetxt(TEST_DATA_DIR / f"u_{strain_formulation}_{deformation_type}.txt", Ux[0]) - np.savetxt(TEST_DATA_DIR / f"v_{strain_formulation}_{deformation_type}.txt", Uy[0]) - input_data = dic.Results(ss_x=X, ss_y=Y, u_px=Ux, v_px=Uy) # Compute strain @@ -95,6 +91,7 @@ def test_strain_deformations(strain_formulation, deformation_type, F): window_element=9, strain_formulation=strain_formulation, output_prefix=f"strain_{strain_formulation}_{deformation_type}_", + output_basepath=tmp_path, debug_level=2 ) @@ -104,7 +101,9 @@ def test_strain_deformations(strain_formulation, deformation_type, F): print(F.shape) print(expected.shape) - strainresults = strain.import_2d(f"./strain_{strain_formulation}_{deformation_type}_*.csv") + strainresults = strain.import_2d( + tmp_path / f"strain_{strain_formulation}_{deformation_type}_*.csv", + ) # Map of deformation gradient and strain components checks = { @@ -128,12 +127,7 @@ def test_strain_deformations(strain_formulation, deformation_type, F): err_msg=f"{attr} incorrect for {strain_formulation} / {deformation_type}" ) - for file_path in glob.glob(f"./strain_{strain_formulation}_{deformation_type}_*.csv"): - os.remove(file_path) - - - -def run_strain_test(window_element): +def run_strain_test(window_element: int, output_path: Path): ref0 = dataset.dic_plate_with_hole_cam0_ref() ref1 = dataset.dic_plate_with_hole_cam1_ref() def0 = dataset.dic_plate_with_hole_cam0_def() @@ -150,7 +144,7 @@ def run_strain_test(window_element): subset_size=21, subset_step=10, max_displacement=10, - output_basepath="./", + output_basepath=output_path, output_delimiter=",", ) @@ -162,10 +156,10 @@ def run_strain_test(window_element): ) strain.calculate_2d( - data="dic_2d_*csv", + data=output_path / "dic_2d_*csv", window_size=5, window_element=window_element, - output_basepath="./", + output_basepath=output_path, output_prefix="strain_2d_", strain_formulation="ALMANSI", ) @@ -179,23 +173,23 @@ def run_strain_test(window_element): ) strain.calculate_3d( - data="dic_3d_*csv", + data=output_path / "dic_3d_*csv", window_size=5, window_element=window_element, - output_basepath="./", + output_basepath=output_path, output_prefix="strain_3d_", strain_formulation="ALMANSI", ) return ( - strain.import_2d("strain_2d_*"), - strain.import_3d("strain_3d_*"), + strain.import_2d(output_path / "strain_2d_*"), + strain.import_3d(output_path / "strain_3d_*"), ) @pytest.mark.parametrize("window_element", [4, 9]) -def test_strain_3d(window_element): - strain_2d, strain_3d = run_strain_test(window_element) +def test_strain_3d(window_element: int, tmp_path: Path): + strain_2d, strain_3d = run_strain_test(window_element, tmp_path) for field, atol in [ ("eps_xx", 4e-5), @@ -209,8 +203,3 @@ def test_strain_3d(window_element): atol=atol, err_msg=f"mismatch for {field}", ) - - - output_files = sorted(glob.glob("*dic*.csv")) - for files in output_files: - os.remove(files)