V1

.github/workflows/test_ubuntu.yml

@@ -0,0 +1,51 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Test and Coverage (Ubuntu)
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    branches: [ master ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: [3.9]
+
+    steps:
+    - uses: actions/checkout@v2
+    - uses: conda-incubator/setup-miniconda@v2
+      with:
+        auto-update-conda: true
+        python-version: ${{ matrix.python-version }}
+
+
+    - name: Install pip dependencies
+      run: |
+
+        python -m pip install --upgrade pip
+        pip install .
+        pip install -r requirements.txt
+        python -m pip install flake8 pytest
+        pip install pytest pytest-cov
+        pip install coveralls
+
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+
+    - name: Test with pytest
+      run: |
+        pytest --cov-config=.coveragerc --cov=./ --cov-report=xml
+
+    - name: codecov
+      uses: codecov/codecov-action@v1

.gitignore

@@ -127,3 +127,5 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+.DS_Store
+.vscode/settings.json

LICENSE

@@ -1,21 +1,25 @@
-MIT License
+BSD 2-Clause License
 
-Copyright (c) 2023 Giulio Rossetti, Salvatore Citraro, Andrea Failla
+Copyright (c) 2017, Giulio Rossetti
+All rights reserved.
 
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
 
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
 
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

README.md

@@ -1,56 +1 @@
 # Attributed Stream Hypergraph (ASH)
-[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
-[![Documentation Status](https://readthedocs.org/projects/ash-model/badge/?version=latest)](https://ash-model.readthedocs.io//en/latest/?badge=latest)
-[![pyversions](https://img.shields.io/pypi/pyversions/ash-model.svg)](https://badge.fury.io/py/ash-model)
-[![PyPI version](https://badge.fury.io/py/ash-model.svg)](https://badge.fury.io/py/ash-model)
-[![SBD++](https://img.shields.io/badge/Available%20on-SoBigData%2B%2B-green)](https://sobigdata.d4science.org/group/sobigdata-gateway/explore?siteId=20371853)
-
-![plot](./docs/ASH_logo_full.png)
-
-``ASH`` is a Python software package that allows to represent and analyze dynamic hypergraphs enriched with node attributes.
-
-
-If you use ``ASH`` as support to your research consider citing:
-
-> A. Failla, S. Citraro, G. Rossetti
-> 
-> **Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions.**
-> 
-> [arXiv:2303.18226](https://arxiv.org/abs/2303.18226)
-> 2023
-
-## Tutorial and Online Environments
-
-Check out the official [tutorial](https://ash-model.readthedocs.io/en/latest/tutorial.html) to get started!
-
-If you would like to test ``ASH`` functionalities without installing anything on your machine consider using the preconfigured Jupyter Hub instances offered by [SoBigData++](https://sobigdata.d4science.org/group/sobigdata-gateway/explore?siteId=20371853).
-
-## Installation
-
-``ASH`` *requires* python>=3.9.
-
-To install the latest version of our library just download (or clone) the current project, open a terminal and run the following commands:
-
-```bash
-pip install -r requirements.txt
-pip install .
-```
-
-Alternatively use pip
-```bash
-pip install ash_model 
-```
-
-or conda
-```bash
-conda config --add channels giuliorossetti
-conda config --add channels conda-forge
-conda install ash_model
-```
-
-## Collaborate with us!
-
-``ASH`` is an active project, any contribution is welcome!
-
-If you like to include your model in ASH feel free to fork the project, open an issue and contact us.
-

ash_model/__init__.py

@@ -1,4 +1,19 @@
 from __future__ import absolute_import
 
-import ash_model.classes
+__version__ = "1.0.0"
+
+# from ash_model import classes, generators, measures, paths, readwrite, utils
 from ash_model.classes import ASH, NProfile
+from ash_model.classes.presence_store import (
+    PresenceStore,
+    DensePresenceStore,
+    IntervalPresenceStore,
+)
+
+__all__ = [
+    "ASH",
+    "NProfile",
+    "PresenceStore",
+    "DensePresenceStore",
+    "IntervalPresenceStore",
+]

ash_model/classes/__init__.py

@@ -1,2 +1,3 @@
 from .undirected import ASH
 from .node_profile import NProfile
+from .presence_store import DensePresenceStore, IntervalPresenceStore