| Name | repro-zipfile JSON |
| Version |
0.3.1
JSON |
| download |
| home_page | |
| Summary | A tiny, zero-dependency replacement for Python's zipfile.ZipFile for creating reproducible/deterministic ZIP archives. |
| upload_time | 2024-02-02 06:26:53 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | Unless otherwise indicated, this software is copyright of DrivenData and licensed under the MIT License. Some portions of this software are copied and modified from Python 3.11, which is copyright of the Python Software Foundation and licensed under the Python Software Foundation License Version 2. ============================================================================== MIT License Copyright (c) 2023 DrivenData Inc. 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: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. 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. ============================================================================== PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; All Rights Reserved 1. This LICENSE AGREEMENT is between the Python Software Foundation ("PSF"), and the Individual or Organization ("Licensee") accessing and otherwise using this software ("Python") in source or binary form and its associated documentation. 2. Subject to the terms and conditions of this License Agreement, PSF hereby grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, analyze, test, perform and/or display publicly, prepare derivative works, distribute, and otherwise use Python alone or in any derivative version, provided, however, that PSF's License Agreement and PSF's notice of copyright, i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; All Rights Reserved" are retained in Python alone or in any derivative version prepared by Licensee. 3. In the event Licensee prepares a derivative work that is based on or incorporates Python or any part thereof, and wants to make the derivative work available to others as provided herein, then Licensee hereby agrees to include in any such work a brief summary of the changes made to Python. 4. PSF is making Python available to Licensee on an "AS IS" basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT INFRINGE ANY THIRD PARTY RIGHTS. 5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. 6. This License Agreement will automatically terminate upon a material breach of its terms and conditions. 7. Nothing in this License Agreement shall be deemed to create any relationship of agency, partnership, or joint venture between PSF and Licensee. This License Agreement does not grant permission to use PSF trademarks or trade name in a trademark sense to endorse or promote products or services of Licensee, or any third party. 8. By copying, installing or otherwise using Python, Licensee agrees to be bound by the terms and conditions of this License Agreement. |
| keywords |
deterministic
reproducible
zip
zipfile
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# repro-zipfile
[](https://pypi.org/project/repro-zipfile/)
[](https://anaconda.org/conda-forge/repro-zipfile)
[](https://github.com/conda-forge/repro-zipfile-feedstock)
[](https://pypi.org/project/repro-zipfile/)
[](https://github.com/drivendataorg/repro-zipfile/actions/workflows/tests.yml?query=branch%3Amain)
[](https://codecov.io/gh/drivendataorg/repro-zipfile)
**A tiny, zero-dependency replacement for Python's `zipfile.ZipFile` library for creating reproducible/deterministic ZIP archives.**
"Reproducible" or "deterministic" in this context means that the binary content of the ZIP archive is identical if you add files with identical binary content in the same order. It means you can reliably check equality of the contents of two ZIP archives by simply comparing checksums of the archive using a hash function like MD5 or SHA-256.
This Python package provides a `ReproducibleZipFile` class that works exactly like [`zipfile.ZipFile`](https://docs.python.org/3/library/zipfile.html#zipfile-objects) from the Python standard library, except that certain file metadata are set to fixed values. See ["How does repro-zipfile work?"](#how-does-repro-zipfile-work) below for details.
You can also optionally install a command-line program, **rpzip**. See ["rpzip command line program"](#rpzip-command-line-program) below for more information.
## Installation
repro-zipfile is available from PyPI. To install, run:
```bash
pip install repro-zipfile
```
It is also available from conda-forge. To install, run:
```bash
conda install repro-zipfile -c conda-forge
```
## Usage
Simply import `ReproducibleZipFile` and use it in the same way you would use [`zipfile.ZipFile`](https://docs.python.org/3/library/zipfile.html#zipfile-objects) from the Python standard library.
```python
from repro_zipfile import ReproducibleZipFile
with ReproducibleZipFile("archive.zip", "w") as zp:
# Use write to add a file to the archive
zp.write("examples/data.txt", arcname="data.txt")
# Or writestr to write data to the archive
zp.writestr("lore.txt", data="goodbye")
```
Note that files must be written to the archive in the same order to reproduce an identical archive. Be aware that functions that like `os.listdir`, `os.glob`, `Path.iterdir`, and `Path.glob` return files in a nondeterministic order—you should call `sorted` on their returned values first.
See [`examples/usage.py`](./examples/usage.py) for an example script that you can run, and [`examples/demo_vs_zipfile.py`](./examples/demo_vs_zipfile.py) for a demonstration in contrast with the standard library's zipfile module.
For more advanced usage, such as customizing the fixed metadata values, see the subsections under ["How does repro-zipfile work?"](#how-does-repro-zipfile-work).
## rpzip command-line program
[](https://pypi.org/project/rpzip/)
You can optionally install a lightweight command-line program, **rpzip**. This includes an additional dependency on the [typer](https://typer.tiangolo.com/) CLI framework. You can install it either directly or using the `cli` extra with repro-zipfile:
```bash
pip install rpzip
# or
pip install repro-zipfile[cli]
```
rpzip is designed to a partial drop-in replacement ubiquitous [zip](https://linux.die.net/man/1/zip) program. Use `rpzip --help` to see the documentation. Here are some usage examples:
```bash
# Archive a single file
rpzip archive.zip examples/data.txt
# Archive multiple files
rpzip archive.zip examples/data.txt README.md
# Archive multiple files with a shell glob
rpzip archive.zip examples/*.py
# Archive a directory recursively
rpzip -r archive.zip examples
```
In addition to the fixed file metadata done by repro-zipfile, rpzip will also always sort all paths being written.
## How does repro-zipfile work?
ZIP archives are not normally reproducible even when containing files with identical content because of file metadata. In particular, the usual culprits are:
1. Last-modified timestamps
2. File-system permissions (mode)
`repro_zipfile.ReproducibleZipFile` is a subclass of `zipfile.ZipFile` that overrides the `write`, `writestr`, and `mkdir` methods with versions that set the above metadata to fixed values. Note that repro-zipfile does not modify the original files—only the metadata written to the archive.
You can effectively reproduce what `ReproducibleZipFile` does with something like this:
```python
from zipfile import ZipFile
with ZipFile("archive.zip", "w") as zp:
# Use write to add a file to the archive
zp.write("examples/data.txt", arcname="data.txt")
zinfo = zp.getinfo("data.txt")
zinfo.date_time = (1980, 1, 1, 0, 0, 0)
zinfo.external_attr = 0o644 << 16
# Or writestr to write data to the archive
zp.writestr("lore.txt", data="goodbye")
zinfo = zp.getinfo("lore.txt")
zinfo.date_time = (1980, 1, 1, 0, 0, 0)
zinfo.external_attr = 0o644 << 16
```
It's not hard to do, but we believe `ReproducibleZipFile` is sufficiently more convenient to justify a small package!
See the next two sections for more details about the replacement metadata values and how to customize them.
### Last-modified timestamps
ZIP archives store the last-modified timestamps of files and directories. `ReproducibleZipFile` will set this to a fixed value. By default, the fixed value is 1980-01-01 00:00 UTC, which is the earliest timestamp that is supported by the ZIP format specifications.
You can customize this value with the `SOURCE_DATE_EPOCH` environment variable. If set, it will be used as the fixed value instead. This should be an integer corresponding to the [Unix epoch time](https://en.wikipedia.org/wiki/Unix_time) of the timestamp you want to set, e.g., `1704067230` for 2024-01-01 00:00:00 UTC. `SOURCE_DATE_EPOCH` is a [standard](https://reproducible-builds.org/docs/source-date-epoch/) created by the [Reproducible Builds project](https://reproducible-builds.org/) for software distributions.
### File-system permissions
ZIP archives store the file-system permissions of files and directories. The default permissions set for new files or directories often can be different across different systems or users without any intentional choices being made. (These default permissions are controlled by something called [`umask`](https://en.wikipedia.org/wiki/Umask).) `ReproducibleZipFile` will set these to fixed values. By default, the fixed values are `0o644` (`rw-r--r--`) for files and `0o755` (`rwxr-xr-x`) for directories, which matches the common default `umask` of `0o022` for root users on Unix systems. (The [`0o` prefix](https://docs.python.org/3/reference/lexical_analysis.html#integers) is how you can write an octal—i.e., base 8—integer literal in Python.)
You can customize these values using the environment variables `REPRO_ZIPFILE_FILE_MODE` and `REPRO_ZIPFILE_DIR_MODE`. They should be in three-digit octal [Unix numeric notation](https://en.wikipedia.org/wiki/File-system_permissions#Numeric_notation), e.g., `644` for `rw-r--r--`.
## Why care about reproducible ZIP archives?
ZIP archives are often useful when dealing with a set of multiple files, especially if the files are large and can be compressed. Creating reproducible ZIP archives is often useful for:
- **Building a software package.** This is a development best practice to make it easier to verify distributed software packages. See the [Reproducible Builds project](https://reproducible-builds.org/) for more explanation.
- **Working with data.** Verify that your data pipeline produced the same outputs, and avoid further reprocessing of identical data.
- **Packaging machine learning model artifacts.** Manage model artifact packages more effectively by knowing when they contain identical models.
## Related Tools and Alternatives
- https://diffoscope.org/
- Can do a rich comparison of archive files and show what specifically differs
- https://github.com/timo-reymann/deterministic-zip
- Command-line program written in Go that matches zip's interface but strips nondeterministic metadata when adding files
- https://github.com/bboe/deterministic_zip
- Command-line program written in Python that creates deterministic ZIP archives
- https://salsa.debian.org/reproducible-builds/strip-nondeterminism
- Perl library for removing nondeterministic metadata from file archives
- https://github.com/Code0x58/python-stripzip
- Python command-line program that removes file metadata from existing ZIP archives
Raw data
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"description": "# repro-zipfile\n\n[](https://pypi.org/project/repro-zipfile/)\n[](https://anaconda.org/conda-forge/repro-zipfile)\n[](https://github.com/conda-forge/repro-zipfile-feedstock)\n[](https://pypi.org/project/repro-zipfile/)\n[](https://github.com/drivendataorg/repro-zipfile/actions/workflows/tests.yml?query=branch%3Amain)\n[](https://codecov.io/gh/drivendataorg/repro-zipfile)\n\n**A tiny, zero-dependency replacement for Python's `zipfile.ZipFile` library for creating reproducible/deterministic ZIP archives.**\n\n\"Reproducible\" or \"deterministic\" in this context means that the binary content of the ZIP archive is identical if you add files with identical binary content in the same order. It means you can reliably check equality of the contents of two ZIP archives by simply comparing checksums of the archive using a hash function like MD5 or SHA-256.\n\nThis Python package provides a `ReproducibleZipFile` class that works exactly like [`zipfile.ZipFile`](https://docs.python.org/3/library/zipfile.html#zipfile-objects) from the Python standard library, except that certain file metadata are set to fixed values. See [\"How does repro-zipfile work?\"](#how-does-repro-zipfile-work) below for details.\n\nYou can also optionally install a command-line program, **rpzip**. See [\"rpzip command line program\"](#rpzip-command-line-program) below for more information.\n\n## Installation\n\nrepro-zipfile is available from PyPI. To install, run:\n\n```bash\npip install repro-zipfile\n```\n\nIt is also available from conda-forge. To install, run:\n\n```bash\nconda install repro-zipfile -c conda-forge\n```\n\n## Usage\n\nSimply import `ReproducibleZipFile` and use it in the same way you would use [`zipfile.ZipFile`](https://docs.python.org/3/library/zipfile.html#zipfile-objects) from the Python standard library.\n\n```python\nfrom repro_zipfile import ReproducibleZipFile\n\nwith ReproducibleZipFile(\"archive.zip\", \"w\") as zp:\n # Use write to add a file to the archive\n zp.write(\"examples/data.txt\", arcname=\"data.txt\")\n # Or writestr to write data to the archive\n zp.writestr(\"lore.txt\", data=\"goodbye\")\n```\n\nNote that files must be written to the archive in the same order to reproduce an identical archive. Be aware that functions that like `os.listdir`, `os.glob`, `Path.iterdir`, and `Path.glob` return files in a nondeterministic order\u2014you should call `sorted` on their returned values first.\n\nSee [`examples/usage.py`](./examples/usage.py) for an example script that you can run, and [`examples/demo_vs_zipfile.py`](./examples/demo_vs_zipfile.py) for a demonstration in contrast with the standard library's zipfile module.\n\nFor more advanced usage, such as customizing the fixed metadata values, see the subsections under [\"How does repro-zipfile work?\"](#how-does-repro-zipfile-work).\n\n## rpzip command-line program\n\n[](https://pypi.org/project/rpzip/)\n\nYou can optionally install a lightweight command-line program, **rpzip**. This includes an additional dependency on the [typer](https://typer.tiangolo.com/) CLI framework. You can install it either directly or using the `cli` extra with repro-zipfile:\n\n```bash\npip install rpzip\n# or\npip install repro-zipfile[cli]\n```\n\nrpzip is designed to a partial drop-in replacement ubiquitous [zip](https://linux.die.net/man/1/zip) program. Use `rpzip --help` to see the documentation. Here are some usage examples:\n\n```bash\n# Archive a single file\nrpzip archive.zip examples/data.txt\n# Archive multiple files\nrpzip archive.zip examples/data.txt README.md\n# Archive multiple files with a shell glob\nrpzip archive.zip examples/*.py\n# Archive a directory recursively\nrpzip -r archive.zip examples\n```\n\nIn addition to the fixed file metadata done by repro-zipfile, rpzip will also always sort all paths being written.\n\n## How does repro-zipfile work?\n\nZIP archives are not normally reproducible even when containing files with identical content because of file metadata. In particular, the usual culprits are:\n\n1. Last-modified timestamps\n2. File-system permissions (mode)\n\n`repro_zipfile.ReproducibleZipFile` is a subclass of `zipfile.ZipFile` that overrides the `write`, `writestr`, and `mkdir` methods with versions that set the above metadata to fixed values. Note that repro-zipfile does not modify the original files\u2014only the metadata written to the archive.\n\nYou can effectively reproduce what `ReproducibleZipFile` does with something like this:\n\n```python\nfrom zipfile import ZipFile\n\nwith ZipFile(\"archive.zip\", \"w\") as zp:\n # Use write to add a file to the archive\n zp.write(\"examples/data.txt\", arcname=\"data.txt\")\n zinfo = zp.getinfo(\"data.txt\")\n zinfo.date_time = (1980, 1, 1, 0, 0, 0)\n zinfo.external_attr = 0o644 << 16\n # Or writestr to write data to the archive\n zp.writestr(\"lore.txt\", data=\"goodbye\")\n zinfo = zp.getinfo(\"lore.txt\")\n zinfo.date_time = (1980, 1, 1, 0, 0, 0)\n zinfo.external_attr = 0o644 << 16\n```\n\nIt's not hard to do, but we believe `ReproducibleZipFile` is sufficiently more convenient to justify a small package!\n\nSee the next two sections for more details about the replacement metadata values and how to customize them.\n\n### Last-modified timestamps\n\nZIP archives store the last-modified timestamps of files and directories. `ReproducibleZipFile` will set this to a fixed value. By default, the fixed value is 1980-01-01 00:00 UTC, which is the earliest timestamp that is supported by the ZIP format specifications.\n\nYou can customize this value with the `SOURCE_DATE_EPOCH` environment variable. If set, it will be used as the fixed value instead. This should be an integer corresponding to the [Unix epoch time](https://en.wikipedia.org/wiki/Unix_time) of the timestamp you want to set, e.g., `1704067230` for 2024-01-01 00:00:00 UTC. `SOURCE_DATE_EPOCH` is a [standard](https://reproducible-builds.org/docs/source-date-epoch/) created by the [Reproducible Builds project](https://reproducible-builds.org/) for software distributions.\n\n### File-system permissions\n\nZIP archives store the file-system permissions of files and directories. The default permissions set for new files or directories often can be different across different systems or users without any intentional choices being made. (These default permissions are controlled by something called [`umask`](https://en.wikipedia.org/wiki/Umask).) `ReproducibleZipFile` will set these to fixed values. By default, the fixed values are `0o644` (`rw-r--r--`) for files and `0o755` (`rwxr-xr-x`) for directories, which matches the common default `umask` of `0o022` for root users on Unix systems. (The [`0o` prefix](https://docs.python.org/3/reference/lexical_analysis.html#integers) is how you can write an octal\u2014i.e., base 8\u2014integer literal in Python.)\n\nYou can customize these values using the environment variables `REPRO_ZIPFILE_FILE_MODE` and `REPRO_ZIPFILE_DIR_MODE`. They should be in three-digit octal [Unix numeric notation](https://en.wikipedia.org/wiki/File-system_permissions#Numeric_notation), e.g., `644` for `rw-r--r--`.\n\n## Why care about reproducible ZIP archives?\n\nZIP archives are often useful when dealing with a set of multiple files, especially if the files are large and can be compressed. Creating reproducible ZIP archives is often useful for:\n\n- **Building a software package.** This is a development best practice to make it easier to verify distributed software packages. See the [Reproducible Builds project](https://reproducible-builds.org/) for more explanation.\n- **Working with data.** Verify that your data pipeline produced the same outputs, and avoid further reprocessing of identical data.\n- **Packaging machine learning model artifacts.** Manage model artifact packages more effectively by knowing when they contain identical models.\n\n## Related Tools and Alternatives\n\n- https://diffoscope.org/\n - Can do a rich comparison of archive files and show what specifically differs\n- https://github.com/timo-reymann/deterministic-zip\n - Command-line program written in Go that matches zip's interface but strips nondeterministic metadata when adding files\n- https://github.com/bboe/deterministic_zip\n - Command-line program written in Python that creates deterministic ZIP archives\n- https://salsa.debian.org/reproducible-builds/strip-nondeterminism\n - Perl library for removing nondeterministic metadata from file archives\n- https://github.com/Code0x58/python-stripzip\n - Python command-line program that removes file metadata from existing ZIP archives\n",
"bugtrack_url": null,
"license": "Unless otherwise indicated, this software is copyright of DrivenData and licensed under the MIT License. Some portions of this software are copied and modified from Python 3.11, which is copyright of the Python Software Foundation and licensed under the Python Software Foundation License Version 2. ============================================================================== MIT License Copyright (c) 2023 DrivenData Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \u201cSoftware\u201d), 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: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED \u201cAS IS\u201d, 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. ============================================================================== PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; All Rights Reserved 1. This LICENSE AGREEMENT is between the Python Software Foundation (\"PSF\"), and the Individual or Organization (\"Licensee\") accessing and otherwise using this software (\"Python\") in source or binary form and its associated documentation. 2. Subject to the terms and conditions of this License Agreement, PSF hereby grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, analyze, test, perform and/or display publicly, prepare derivative works, distribute, and otherwise use Python alone or in any derivative version, provided, however, that PSF's License Agreement and PSF's notice of copyright, i.e., \"Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; All Rights Reserved\" are retained in Python alone or in any derivative version prepared by Licensee. 3. In the event Licensee prepares a derivative work that is based on or incorporates Python or any part thereof, and wants to make the derivative work available to others as provided herein, then Licensee hereby agrees to include in any such work a brief summary of the changes made to Python. 4. PSF is making Python available to Licensee on an \"AS IS\" basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT INFRINGE ANY THIRD PARTY RIGHTS. 5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. 6. This License Agreement will automatically terminate upon a material breach of its terms and conditions. 7. Nothing in this License Agreement shall be deemed to create any relationship of agency, partnership, or joint venture between PSF and Licensee. This License Agreement does not grant permission to use PSF trademarks or trade name in a trademark sense to endorse or promote products or services of Licensee, or any third party. 8. By copying, installing or otherwise using Python, Licensee agrees to be bound by the terms and conditions of this License Agreement.",
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