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PUBLISHING.md

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-# Publishing to PyPI
-
-This guide explains how to build and publish the `efficient-context` package to PyPI.
-
-## Prerequisites
-
-1. Create an account on PyPI: https://pypi.org/account/register/
-2. Install build and twine packages:
-
-```bash
-pip install build twine
-```
-
-## Build the Package
-
-1. Navigate to the project directory:
-
-```bash
-cd /path/to/efficient-context
-```
-
-2. Build the distribution packages:
-
-```bash
-python -m build
-```
-
-This will create a directory called `dist` containing both `.tar.gz` (source distribution) and `.whl` (built distribution) files.
-
-## Upload to TestPyPI (Recommended)
-
-Before publishing to the main PyPI repository, it's a good practice to test on TestPyPI:
-
-```bash
-python -m twine upload --repository-url https://test.pypi.org/legacy/ dist/*
-```
-
-You'll be prompted for your TestPyPI username and password.
-
-Then install from TestPyPI to verify it works:
-
-```bash
-pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple efficient-context
-```
-
-## Upload to PyPI
-
-Once you've verified everything works correctly, upload to the actual PyPI:
-
-```bash
-python -m twine upload dist/*
-```
-
-You'll be prompted for your PyPI username and password.
-
-## Verify Installation
-
-After uploading, verify that your package can be installed from PyPI:
-
-```bash
-pip install efficient-context
-```
-
-## Updating the Package
-
-To update the package:
-
-1. Update the version number in `setup.py`
-2. Rebuild the package: `python -m build`
-3. Upload to PyPI again: `python -m twine upload dist/*`
-
-## GitHub Integration
-
-If your code is hosted on GitHub, you may want to set up GitHub Actions to automatically build and publish your package when you create a new release. The code for this project is available at: https://github.com/biswanathroul/efficient-context
-
-## Tips
-
-- Always increment the version number in `setup.py` before publishing a new version
-- Keep your PyPI credentials secure
-- Include comprehensive documentation and examples in your package
-- Add proper classifiers in `setup.py` for better searchability