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Update dependencies and port ndi.cloud routines
- Updated NDI-matlab submodule (re-cloned) - Added ndi-compress and vhlab-newstim to pyproject.toml - Cloned vhlab-toolbox and vhlab-library for reference - Ported ndi.cloud.internal token utils - Ported ndi.cloud.authenticate (logic for env vars and prompt) - Ported ndi.cloud.logout - Added ndi.cloud.api.datasets.create_dataset - Added tests for create_dataset - Fixed imports in list_datasets.py - Updated pyproject.toml to use git URL for did dependency - Updated README.md with clearer install instructions
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README.md

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## Installation
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To install the package, you can use pip:
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To install the package, you can use pip. This will automatically install all required dependencies (including `did`, `ndi-compress`, etc.):
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```bash
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pip install .
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```
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If you are installing for development (editable mode):
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```bash
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pip install -e .
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```
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## Usage
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```python
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### Dependency Installation
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Then, install the dependencies:
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Install the package in editable mode, which will also install all dependencies:
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```bash
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pip install -e .

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