Contributing to Scribe-Dataο
Thank you for your interest in contributing!
Please take a moment to review this document in order to make the contribution process easy and effective for everyone involved.
Following these guidelines helps to communicate that you respect the time of the developers managing and developing this open-source project. In return, and in accordance with this projectβs code of conduct, other contributors will reciprocate that respect in addressing your issue or assessing changes and features.
If you have questions or would like to communicate with the team, please join us in our public Matrix chat rooms. Weβd be happy to hear from you!
Contentsο
First steps as a contributorο
Thank you for your interest in contributing to Scribe-Data! We look forward to welcoming you to the community and working with you to build tools for language learners to communicate effectively :) The following are some suggested steps for people interested in joining our community:
Please join the public Matrix chat to connect with the community
Read through this contributing guide for all the information you need to contribute
Look into issues marked
good first issueand the Projects board to get a better understanding of what you can work onCheck out our public designs on Figma to understand Scribesβs goals and direction
Consider joining our bi-weekly developer sync!
[!NOTE] Those new to Python or wanting to work on their Python skills are more than welcome to contribute! The team would be happy to help you on your development journey :)
Mentorship and Growthο
Onboarding and mentoring new members is vital to a healthy open-source community.
We need contributors who are onboarded to gain new skills and take on greater roles by triaging issues, reviewing contributions, and maintaining the project. We also need them to help new contributors to grow as well. Please let us know if you have goals to develop as an open-source contributor and weβll work with you to achieve them.
We also have expectations about the behavior of those who want to grow with us. Mentorship is earned, not given.
To be blunt, those who are mainly sending AI generated contributions are not demonstrating an interest in growing their skills and are not helping to develop the project. This is not to say that all uses of AI for contributions are bad, but AI should be a tool, not the contributor itself.
Continued constructive contributions, new open issues, and clear communication helps the project. We would be happy to help community members who can make these contributions to expand their skills and take on further responsibilities.
If you like the sound of this, then we look forward to working with you!
Learning the tech stackο
Scribe is very open to contributions from people in the early stages of their coding journey! The following is a select list of documentation pages to help you understand the technologies we use.
Docs for those new to programming
Mozilla Developer Network Learning Area
Doing MDN sections for HTML, CSS and JavaScript is the best ways to get into web development!
-
Guides from GitHub about open-source software including how to start and much more!
Development environmentο
[!IMPORTANT]
Suggested IDE extensions
VS Code
The development environment for Scribe-Data can be installed via the following steps:
Fork the Scribe-Data repo, clone your fork, and configure the remotes:
[!NOTE]
Consider using SSH
Alternatively to using HTTPS as in the instructions below, consider SSH to interact with GitHub from the terminal. SSH allows you to connect without a user-pass authentication flow.
To run git commands with SSH, remember then to substitute the HTTPS URL,
https://github.com/..., with the SSH one,git@github.com:....
e.g. Cloning now becomes
git clone git@github.com:<your-username>/Scribe-Data.gitGitHub also has their documentation on how to Generate a new SSH key π
# Clone your fork of the repo into the current directory.
git clone https://github.com/<your-username>/Scribe-Data.git
# Navigate to the newly cloned directory.
cd Scribe-Data
# Assign the original repo to a remote called "upstream".
git remote add upstream https://github.com/scribe-org/Scribe-Data.git
Now, if you run
git remote -vyou should see two remote repositories named:origin(forked repository)upstream(Scribe-Data repository)
Create a virtual environment for Scribe-Data (Python
>=3.12), activate it and install dependencies:
[!NOTE] First, install
uvif you donβt already have it by following the official installation guide.
```bash
uv sync --all-extras # create .venv and install all dependencies from uv.lock
# Unix or macOS:
source .venv/bin/activate
# Windows:
.venv\Scripts\activate.bat # .venv\Scripts\activate.ps1 (PowerShell)
```
After activating the virtual environment, set up prek by running:
prek install
# uv run prek run --all-files # lint and fix common problems in the codebase
[!NOTE] If you change dependencies in
pyproject.toml, regenerate the lock file with the following command:uv lock # refresh uv.lock for reproducible installs
[!NOTE] If you are having issues with prek and want to send along your changes regardless, you can ignore the pre-commit hooks via the following:
git commit --no-verify -m "COMMIT_MESSAGE"
If you face any issues, consider reinstalling Scribe-data by running the following:
# Install the new version of Scribe-Data:
pip uninstall scribe-data
pip install -e . # or pip install scribe-data
# Update the entry_points and console_scripts:
python setup.py egg_info
[!NOTE] Feel free to contact the team in the Data room on Matrix if youβre having problems getting your environment setup!
Testingο
In addition to the prek pre-commit hooks that are set up during the development environment section, Scribe-Data also includes a testing suite that should be ran before all pull requests and subsequent commits. Please run the following in the project root:
pytest
Issues and projectsο
The issue tracker for Scribe-Data is the preferred channel for bug reports, features requests and submitting pull requests. Scribe also organizes related issues into projects.
[!NOTE]
Just because an issue is assigned on GitHub doesnβt mean the team isnβt open to your contribution! Feel free to write in the issues and we can potentially reassign it to you.
Be sure to check the -next release- and -priority- labels in the issues for those that are most important, as well as those marked good first issue that are tailored for first-time contributors.
Bug reportsο
A bug is a demonstrable problem that is caused by the code in the repository. Good bug reports are extremely helpful - thank you!
Guidelines for bug reports:
Use the GitHub issue search to check if the issue has already been reported.
Check if the issue has been fixed by trying to reproduce it using the latest
mainor development branch in the repository.Isolate the problem to make sure that the code in the repository is definitely responsible for the issue.
Great Bug Reports tend to have:
A quick summary
Steps to reproduce
What you expected would happen
What actually happens
Notes (why this might be happening, things tried that didnβt work, etc)
To make the above steps easier, the Scribe team asks that contributors report bugs using the bug report template, with these issues further being marked with the Bug type.
Again, thank you for your time in reporting issues!
Feature requestsο
Feature requests are more than welcome! Please take a moment to find out whether your idea fits with the scope and aims of the project. When making a suggestion, provide as much detail and context as possible, and further make clear the degree to which you would like to contribute in its development. Feature requests are marked with the Feature type, and can be made using the feature request template.
Pull requestsο
Good pull requests - patches, improvements and new features - are the foundation of our community making Scribe-Data. They should remain focused in scope and avoid containing unrelated commits. Note that all contributions to this project will be made under the specified license and should follow the coding indentation and style standards (contact us if unsure).
Please ask first before embarking on any significant pull request (implementing features, refactoring code, etc), otherwise you risk spending a lot of time working on something that the developers might not want to merge into the project. With that being said, major additions are very appreciated!
When making a contribution, adhering to the GitHub flow process is the best way to get your work merged:
If you cloned a while ago, get the latest changes from upstream:
git checkout <dev-branch> git pull upstream <dev-branch>
Create a new topic branch (off the main project development branch) to contain your feature, change, or fix:
git checkout -b <topic-branch-name>
Commit your changes in logical chunks, and please try to adhere to Conventional Commits.
[!NOTE] The following are tools and methods to help you write good commit messages β¨
commitlint helps write Conventional Commits
Gitβs interactive rebase cleans up commits
Locally merge (or rebase) the upstream development branch into your topic branch:
git pull --rebase upstream <dev-branch>
Push your topic branch up to your fork:
git push origin <topic-branch-name>
Open a Pull Request with a clear title and description.
Thank you in advance for your contributions!
Data editsο
[!NOTE]
Please see the Wikidata and Scribe Guide for an overview of Wikidata and how Scribe uses it.
Scribe does not accept direct edits to the grammar JSON files as they are sourced from Wikidata. Edits can be discussed and the Scribe-Data queries will be changed and ran before an update. If there is a problem with one of the files, then the fix should be made on Wikidata and not on Scribe. Feel free to let us know that edits have been made by opening an issue and weβll be happy to integrate them!
Documentationο
The documentation for Scribe-Data can be found at scribe-data.readthedocs.io. Documentation is an invaluable way to contribute to coding projects as it allows others to more easily understand the project structure and contribute. Issues related to documentation are marked with the documentation label.
Function Docstringsο
Scribe-Data generally follows numpydoc conventions for documenting functions and Python code in general. Function docstrings should have the following format:
def example_function(argument: argument_type) -> return_type:
"""
An example docstring for a function so others understand your work.
Parameters
----------
argument : argument_type
Description of your argument.
Returns
-------
return_value : return_type
Description of your return value.
Raises
------
ErrorType
Description of the error and the condition that raises it.
"""
...
return return_value
Building the Docsο
Use the following commands to build the documentation locally:
cd docs
make html
You can then open index.html within docs/build/html to check the local version of the documentation.
Changelogο
See the releases for Scribe-Data for an up to date list of versions and their release dates.
Scribe-Data tries to follow semantic versioning, a MAJOR.MINOR.PATCH version where increments are made of the:
MAJOR version when we make incompatible API changes
MINOR version when we add functionality in a backwards compatible manner
PATCH version when we make backwards compatible bug fixes
Emojis for the following are chosen based on gitmoji.
Scribe-Data 6.0.0ο
β¨ Featuresο
β»οΈ Code Refactoringο
Scribe-Data 5.2.0ο
β¨ Featuresο
π Bug Fixesο
The handling of missing language directories in the SQLite conversion process has been dramatically improved to communicate to the user which languages are missing and also alert them that no SQLite databases will be created if no data is available for any of the desired languages.
β Testsο
β¬οΈ Dependenciesο
Dependencies were updated given dependabot warnings.
All dependencies for the package were updated to the highest feasible level.
Dependency management was switched over to using uv.
Scribe-Data 5.1.4ο
π Bug Fixesο
Allow the convert parser to accept multiple data types (#634).
Scribe-Data 5.1.3ο
π Bug Fixesο
Fixed data conversion not handling multiple explicitly passed languages and data types (#632).
Scribe-Data 5.1.2ο
π Bug Fixesο
Fixed data conversion not handling multiple explicitly passed languages (#630).
Scribe-Data 5.1.1ο
π Bug Fixesο
The path to the contracts was fixed in data filtration to assure that itβs a
pathlib.Pathvalue (#627).
β Testsο
The upgrade functionality of the CLI is now comprehensively tested (#624).
β»οΈ Code Refactoringο
The upgrade message instructs the user to use the built in upgrade functionality.
Scribe-Data 5.1.0ο
β¨ Featuresο
The upgrade command now upgrades the package via pip rather than bringing down GitHub files and installing them directly.
Scribe-Data 5.0.1ο
β»οΈ Code Refactoringο
The requirement files have been updated to fix package install errors (#621).
β¬οΈ Dependenciesο
Update minimum Python version to 3.11.
Scribe-Data 5.0.0ο
β¨ Featuresο
Scribe-Data now has the ability to download the most recent or a specific Wikidata lexemes dump (#517).
Wikidata SPARQL queries are now autogenerated and maintained via Wikidata dumps (#513).
Forms are separated into files based on their identifiers while ignoring maintainer set queries (#575).
Queries have been expanded for all languages and data forms based on the Wikidata dump process.
The date of last modification for Wikidata lexemes has been added to query and dump parsing outputs (#562).
Interactive mode now functions throughout the CLI functionality where the user is presented with options for data extraction.
The is now a top level interactive mode command for accessing all Scribe-Data functionality (#523).
Repeat forms are combined with vertical bars (
"|") as a separator (#544, #573).A workflow has been created to update the emoji data on a regular basis (#542).
Resulting data can be filtered based on data contracts (#581).
Contracts can be checked against data to assure that theyβre valid given the dataβs field names (#561).
The Wikipedia based autosuggestion functionality is now CLI based instead of using a Jupyter notebook (#206).
βοΈ Legalο
SPDX license identifiers have been added for all files (#553).
π Bug Fixesο
The version command was fixed to account for cases where the version has a
vbefore it (#534).The functionality to check for current data and prompt its deletion was centralized and messages to the user were made more clear (#336).
If Wikidata queries canβt be completed, Scribe-Data now includes dramatically better error messages and directs the user to leverage commands that use Wikidata dumps (#549).
General bug fixes for a more fluid developer experience.
β Testsο
Tests have been written for all new functionalities (#570).
CI testing now includes a coverage check that breaks if coverage falls below a given percentage.
π Documentationο
Documentation has been expanded for all functionalities of the CLI.
β»οΈ Code Refactoringο
All numpydoc docstrings have been fixed and unneeded code has been removed (#547).
Scribe-Data 4.1.0ο
β¨ Featuresο
Queries for noun genders and other properties that require the Wikidata label service now return their English label rather than auto label that was returning just the Wikidata QID.
SPARQL queries for English and Portuguese prepositions were added to allow the CLI to query these types of data.
The convert functionality once again works for lists of languages all data types for them.
π Bug Fixesο
SQLite conversion was fixed for all queries (#527).
The data conversion process outputs were improved including capitalizing language names and repeat notices to the user were removed.
The CLIβs
getcommand now returns all data types if none is passed.The Portuguese verbs query was fixed as it wasnβt formatted correctly.
The emoji keyword functionality was fixed given the new lexeme ID based form of the data.
Arguments were fixed that were breaking the functionality.
Languages for the user were capitalized.
casehas been renamedgrammaticalCasein preposition queries to assure that SQLite reserved keywords are not used.
Scribe-Data 4.0.0ο
β¨ Featuresο
Queries for countless data types for countless languages were expanded and added β€οΈ
Scribe-Data is now a fully functional CLI.
Querying Wikidata lexicographical data can be done via the
getcommand (#159).The output type of queries can be in JSON, CSV, TSV and SQLite, with converting output types also being possible (#145, #146)
Output paths can be set for query results (#144).
The version of the CLI can be printed to the command line and the CLI can further be used to upgrade itself (#186, #157 ).
Total Wikidata lexemes for languages and data types can be derived with the
totalcommand (#147).Interactive and total commands can be used via an interactive mode with the
--interactiveargument (#158, #203).Outputs were standardized to assure that the CLI experience is consistent
The machine translation process has been removed to make way for the Wiktionary based implementation (#292).
Package metadata files were standardized for languages, data types and Wikidata lexeme forms.
CLI commands have an argument check that can suggest correct languages and data types (#341).
π Bug Fixesο
Wikidata query process stages no longer trigger the tqdm progress bar when theyβre unsuccessful (#155).
β Testsο
Tests have been written for the CLI to assure that itβs functionality remains consistent.
Workflows were created to assure that the Wikidata queries and project structure are consistent to assure package functionality (#339, #357)
Project queries and its structure have been updated to match the rules developed for the checks.
π Documentationο
β»οΈ Code Refactoringο
word_typehas been switched todata_typethroughout the codebase (#160).Case, gender and annotation utility functions were removed as the formatting process that used them has changed.
The SPARQLWrapper access method has been extracted to the Wikidata utils and is imported into the files that need it (#164).
Export data paths have been converted to centrally saved variables to reduce hard coded string repetition.
Many files were renamed including
update_data.pybeing renamedquery_data.pyPaths within the package have been updated to work for all operating systems via
pathlib(#125).The language formatting scripts have been dramatically simplified given changes to export paths all being the same.
The
update_filesdirectory was removed in preparation of other means of showing data totals.The
language_data_extractiondirectory was moved under the Wikidata directory as itβs only used for those processes now (#446).The emoji keyword process was centralized to simplify project maintenance (#359).
PyICU was removed as a dependency and a process was made to install it and its needed dependencies given the operating system of the user (#196).
The data formatting step was centralized such that we only have one for all languages (#142).
Sub-query processes are now no longer hard coded such that weβd need to maintain the total possible sub-queries within the
query_data.pyprocess.
Scribe-Data 3.3.0ο
β¨ Featuresο
π Bug Fixesο
Annotation bugs were removed like repeat or empty values.
Perfect tenses of Portuguese verbs were fixed via finding the appropriate PID (#68).
Note that the most common past perfect property is not the standard one, so this will need to be fixed.
π Documentationο
β»οΈ Code Refactoringο
pre-commit have been added to the repo to improve the development experience (#137).
A Ruff based GitHub workflow was added to check the code formatting and lint the codebase on each pull request (#109).
The
_update_filesdirectory was renamedupdate_filesas these files are used in non-internal manners now (#57).A common function has been created to map Wikidata ids to noun genders (#69).
The project now is installed locally for development and command line usage, so usages of
sys.pathhave been removed from files (#122).The directory structure has been dramatically streamlined and includes folders for future projects where language data could come from other sources like Wiktionary (#139).
Translation files are moved to their own directory.
The
extract_transformdirectory has been removed and all files within it have been moved one level up.The
languagesdirectory has been renamedlanguage_data_extraction.All files within
wikidata/_resourceshave been moved to theresourcesdirectory.The gender and case annotations for data formatting have now been commonly defined.
All language directory
formatted_datafiles have been now moved to thescribe_data_json_exportdirectory to prepare for outputs being required to be directed to a directory outside of the package.Path computing has been refactored throughout the codebase, and unneeded functions for data transfers have been removed.
Scribe-Data 3.2.2ο
Minor fixes to documentation index and file docstrings to fix errors.
Revert change to package path definition to hopefully register the resources directory.
Scribe-Data 3.2.1ο
β»οΈ Code Refactoringο
The docs and tests were grafted into the package using
MANIFEST.in.Minor fixes to file and function docstrings and documentation files.
include_package_data=Trueis used insetup.pyto hopefully include all files in the package distribution.
Scribe-Data 3.2.0ο
β¨ Featuresο
The data and process needed for an English keyboard has been added (#39).
The Wikidata queries for English have been updated to get all nouns and verbs.
Formatting scripts have been written to prepare the queried data and load it into an SQLite database.
The data update process has been cleaned up in preparation for future changes to Scribe-Data and to implement better practices.
Language data was extracted into a JSON file for more succinct referencing (#52).
Language codes are now checked with the package langcodes for easier expansion.
A process has been created to check and update words that can be translated for each Scribe language (#44).
The baseline data returned from Wikidata queries is now removed once a formatted data file is created.
π Bug Fixesο
Tensorflow was removed from the download wiki process to fix build problems on Macs.
β Testsο
β»οΈ Code Refactoringο
The Anaconda based virtual environment was removed and documentation was updated to reflect this.
Language data processes were moved into the
src/scribe_data/extract_transform/languagesdirectory to clean up the structure.Code formatting processes were defined with common structures based on language and word type variables defined at the top of files.
Scribe-Data 3.1.0ο
β¨ Featuresο
The word βScribeβ is now added to language database nouns files if itβs not already present (#35).
German contracted prepositions have been added to the German prepositions formatting process (#34).
Words that are upper case are now better included in the autocomplete lexicon with their lower case equivalents being removed.
Words with apostrophes have been removed from the autocomplete lexicon.
β»οΈ Code Refactoringο
Database output column names are now zero indexed to better align with Python and other language standards.
Scribe-Data 3.0.0ο
β¨ Featuresο
Scribe-Data now has the ability to generate SQLite databases from formatted language data.
data_to_sqlite.pyis used to read available JSON files and input their information into the databases.
These databases are now sent to Scribe apps via defined paths.
send_dbs_to_scribe.pyfinds all available language databases and copies them.Separating this step from the data update is in preparation for data import in the future where this will be an individual step.
Scribe-Data now also creates autocomplete lexicons for each language within
data_to_sqlite.py.JSON data is no longer able to be uploaded to Scribe app directories directly, with the SQLite directories now being exported instead.
Emojis of singular nouns are now also linked to their plural counterparts if the plural isnβt present in the emoji keyword outputs.
The emoji process also now updates a column to the
data_table.txtfile for sharing on readmes withupdate_data.pymaintaining it in the data update process.
π Bug Fixesο
The statements in translation files have been fixed as they were improperly defined after a file was moved.
β»οΈ Code Refactoringο
The Jupyter notebooks for autosuggestions and emojis as well as
update_data.pywere moved to theextract_transformdirectory given that theyβre not used to load data anymore.Their code was refactored to reflect their new locations.
Massive amounts of refactoring happened to achieve the shift in the data export method:
format_WORD_TYPE.pyfiles export to aformatted_datadirectory withinextract_transform.Copies of all data JSONs that were originally in Scribe apps are now in the
formatted_datadirectories.Functions in
update_utils.pywere switched given that data is no longer uploaded into aDatadirectory within the language keyboard directories within Scribe apps.Lots of functions and variables were renamed to make them more understandable.
Code to derive appropriate export locations within
format_WORD_TYPE.pyfiles was removed in favor of a languageformatted_datadirectory.regex was added as a dependency.
pylint comments were removed.
Verb SPARQL query scripts for Spanish and Italian were simplified to remove unneeded repeat conditions (#7).
Scribe-Data 2.2.2ο
β¨ Featuresο
An option to remove the
is_baseandranksub keys was added.
β»οΈ Code Refactoringο
The export filenames for emoji keywords were renamed to reflect their usage in autosuggestions and soon autocompletions as well.
Scribe-Data 2.2.1ο
β¨ Featuresο
The number of suggested emojis for words can now be limited.
The total number of emojis that suggestions can be made for can now be limited.
Scribe-Data 2.2.0ο
β¨ Featuresο
Scribe-Data now allows the user to create JSONs of word-emoji key-value pairs (#24).
Scribe-Data 2.1.0ο
β¨ Featuresο
Scribe-Data can now split Wikidata queries into multiple stages to break up those that were too large to run (#21).
Scribe-Data 2.0.0ο
β¨ Featuresο
Scribe-Data now has the ability to download Wikipedia dumps of any language (#15).
Functions have been added to parse and clean the above dumps (#15).
Autosuggestions are generated from the cleaned texts by deriving most common words and those words that most commonly follow them (#15).
A query for profane words has been added and integrated into the autosuggest flow to make sure that inappropriate words are not included (#16).
The adjectives column has been removed from Scribe data tables until support is offered.
β»οΈ Code Refactoringο
The error messages for incorrect args in update_data.py have been updated.
Scribe-Data 1.0.1ο
β¨ Featuresο
update_data.py now functions using SPARQLWrapper instead of wikidataintegrator.
π Bug Fixesο
The data update process has been fixed to work for all queries.
Hard coded strings for Spanish formatting files were fixed.
The paths of update_data.py were changed to match the new package structure.
Scribe-Data 1.0.0ο
π Deploymentο
Releasing a Python package so that codes are accessible and the structure is set for future project iterations.
β¨ Featuresο
Data updates are done via a single file that loads new formatted data into each Scribe application.
This will be expanded on in the future to create language packs that can be downloaded in app.
ποΈ Dataο
Data extraction and formatting scripts for each of Scribeβs current languages as well as those with significant data on Wikidata are included.
Languages include: French, German, Italian, Portuguese, Russian, Spanish, and Swedish. Word types include: nouns, verbs, prepositions and translations.
β»οΈ Code Refactoringο
The data update process now updates files in Android and Desktop directories if theyβre present.
Licenseο
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
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software and other kinds of works.
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
the GNU General Public License is intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users. We, the Free Software Foundation, use the
GNU General Public License for most of our software; it applies also to
any other work released this way by its authors. You can apply it to
your programs, too.
When we speak of free software, we are referring to freedom, not
price. Our General Public Licenses are designed to make sure that you
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To protect your rights, we need to prevent others from denying you
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For example, if you distribute copies of such a program, whether
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Developers that use the GNU GPL protect your rights with two steps:
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For the developers' and authors' protection, the GPL clearly explains
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Finally, every program is threatened constantly by software patents.
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The precise terms and conditions for copying, distribution and
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THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
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If the disclaimer of warranty and limitation of liability provided
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END OF TERMS AND CONDITIONS