mirror of
https://github.com/EbookFoundation/free-programming-books.git
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4
.github/workflows/check-urls.yml
vendored
4
.github/workflows/check-urls.yml
vendored
@ -107,7 +107,7 @@ jobs:
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if: ${{ endsWith(matrix.file, '.yml') || endsWith(matrix.file, '.md') }}
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run: |
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awesome_bot "${{ matrix.file }}" --allow-redirect --allow-dupe --allow-ssl || true;
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- uses: actions/upload-artifact@v4
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- uses: actions/upload-artifact@v5
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with:
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name: ${{ steps.set-output.outputs.FILEPATH }}
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path: ${{ github.workspace }}/ab-results-*.json
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@ -122,7 +122,7 @@ jobs:
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uses: actions/checkout@v5
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# download and unzip the ab-results-*.json generated by job-matrix: check-urls
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- name: Download artifacts
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uses: actions/download-artifact@v5
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uses: actions/download-artifact@v6
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- name: Generate Summary Report
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uses: ./.github/actions/awesomebot-gh-summary-action
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with:
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2
.github/workflows/fpb-lint.yml
vendored
2
.github/workflows/fpb-lint.yml
vendored
@ -29,7 +29,7 @@ jobs:
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echo ${{ github.event.pull_request.html_url }} > ./pr/PRurl
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cat output.log | sed -E 's:/home/runner/work/free-programming-books/|⚠.+::' | uniq > ./pr/error.log
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- uses: actions/upload-artifact@v4
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- uses: actions/upload-artifact@v5
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if: always()
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with:
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name: pr
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2
.github/workflows/rtl-ltr-linter.yml
vendored
2
.github/workflows/rtl-ltr-linter.yml
vendored
@ -94,7 +94,7 @@ jobs:
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# Only if the linter step was executed (success or failure)
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- name: Upload linter output artifact
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if: steps.run_linter.conclusion == 'success' || steps.run_linter.conclusion == 'failure'
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uses: actions/upload-artifact@v4
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uses: actions/upload-artifact@v5
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with:
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name: rtl-linter-output # Name of the artifact
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path: rtl-linter-output.log # Path to the output file
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@ -1401,6 +1401,7 @@
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* [Machine Learning Course for Beginners](https://www.youtube.com/watch?v=NWONeJKn6kc) - freeCodeCamp.org
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* [Machine Learning Course With Python](https://www.youtube.com/playlist?list=PLfFghEzKVmjsNtIRwErklMAN8nJmebB0I) - Siddhardhan
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* [Machine Learning Foundations](https://www.youtube.com/playlist?list=PLOU2XLYxmsII9mzQ-Xxug4l2o04JBrkLV) - Google for Developers
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* [Machine Learning Interview Preparation](https://www.udacity.com/course/machine-learning-interview-prep--ud1001) - Udacity
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* [Machine Learning Recipes with Josh Gordon](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) - Google for Developers
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* [Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction) - Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig (Coursera)
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* [Machine Learning Tutorial in Python](https://www.youtube.com/playlist?list=PL9ooVrP1hQOHUfd-g8GUpKI3hHOwM_9Dn) - edureka!
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@ -359,6 +359,7 @@
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### PHP
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* [CodeBasics PHP](https://code-basics.com/languages/php)
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* [CodeCademy PHP](https://www.codecademy.com/learn/php)
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* [Learn PHP](http://www.learn-php.org)
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* [PHP tutorial](https://www.w3schools.com/php) - W3Schools
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@ -468,5 +469,6 @@
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### XML
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* [XML Tutorial](https://www.tutorialspoint.com/xml/index.htm) - TutorialsPoint
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* [XML Tutorial](https://www.w3schools.com/xml) - W3Schools
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@ -122,6 +122,7 @@
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### ClojureScript
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* [Online Clojure IDE](https://www.jdoodle.com/execute-clojure-online)
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* [Web REPL](http://clojurescript.net)
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