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jasonrandrewsjasonrandrews
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Merge pull request #1886 from jasonrandrews/tool-installs
Script and GitHub Action to record published Learning Paths from GitHub Project
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‎.github/workflows/monthly-report.yml‎

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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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python-version: '3.12'
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- name: Install dependencies
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run: |
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- name: Generate monthly report
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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PAT: ${{ secrets.PAT }}
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run: |
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python tools/generate_monthly_report.py
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‎data/reports/LP-report-2025-03_to_2025-04.md‎

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## Learning Path Monthly Report for March 2025 - April 2025
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## Planned Learning Paths
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| Title | Program | Created Date |
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|-------|-----|--------------|
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| [Buildkite runners on Arm LP](https://github.com/ArmDeveloperEcosystem/roadmap/issues/12) | ACM | April 17, 2025 |
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| [OLAP workload benchmarking for Axion/Graviton](https://github.com/ArmDeveloperEcosystem/roadmap/issues/11) | ACM | April 15, 2025 |
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| [Go Migration and benchmarking for Axion](https://github.com/ArmDeveloperEcosystem/roadmap/issues/8) | ACM | April 10, 2025 |
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| [vLLM batch inferencing with Arm optimizations](https://github.com/ArmDeveloperEcosystem/roadmap/issues/5) | ACM | April 08, 2025 |
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| [Llama multi-modal vision chatbot LP with demo](https://github.com/ArmDeveloperEcosystem/roadmap/issues/4) | ACM | April 08, 2025 |
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| [.NET Migration LP for Azure](https://github.com/ArmDeveloperEcosystem/roadmap/issues/1) | ACM | April 08, 2025 |
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Total planned learning paths: 6
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## Published Learning Paths
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| Title | Start Date | Publish Date | Time to Publish (days) | Program |
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|-------|--------------|-------------|----------------------|-----|
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| [Boost C++ performance by optimizing loops with boundary information](https://learn.arm.com/learning-paths/cross-platform/cpp-loop-size-context/) | March 26, 2025 | April 21, 2025 | 26 | ACM |
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| [Build a CCA Attestation Service on AWS with Veraison](https://learn.arm.com/learning-paths/servers-and-cloud-computing/cca-veraison-aws/) | March 20, 2025 | April 25, 2025 | 36 | |
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| [Building and Benchmarking DLRM on Arm Neoverse V2 with MLPerf](https://learn.arm.com/learning-paths/servers-and-cloud-computing/dlrm/) | February 28, 2025 | April 04, 2025 | 35 | ACM |
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| [Add Arm nodes to your GKE cluster using a multi-architecture Ollama container image](https://learn.arm.com/learning-paths/servers-and-cloud-computing/multiarch_ollama_on_gke/) | March 25, 2025 | March 31, 2025 | 6 | ACM |
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| [Optimizing graphics using Frame Advisor’s render graphs](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/render-graph-optimization/) | March 19, 2025 | April 13, 2025 | 25 | |
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| [Explore floating-point differences between x86 and Arm](https://learn.arm.com/learning-paths/cross-platform/floating-point-rounding-errors/) | March 17, 2025 | April 04, 2025 | 18 | ACM |
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| [Vision LLM inference on Android with KleidiAI and MNN](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/vision-llm-inference-on-android-with-kleidiai-and-mnn/) | March 17, 2025 | March 28, 2025 | 11 | |
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| [Explore Thread Synchronization in the Arm memory model](https://learn.arm.com/learning-paths/servers-and-cloud-computing/memory_consistency/) | March 14, 2025 | March 28, 2025 | 14 | ACM |
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| [Cyclone DDS](https://learn.arm.com/install-guides/cyclonedds/) | April 03, 2025 | April 04, 2025 | 1 | |
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| [Amazon Q Developer CLI](https://learn.arm.com/install-guides/aws-q-cli/) | March 31, 2025 | April 04, 2025 | 4 | |
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| [Learn about optimization techniques using the g++ compiler](https://learn.arm.com/learning-paths/servers-and-cloud-computing/cplusplus_compilers_flags/) | January 24, 2025 | March 28, 2025 | 63 | ACM |
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| [Deploy an AI Agent on Arm with llama.cpp and llama-cpp-agent using KleidiAI](https://learn.arm.com/learning-paths/servers-and-cloud-computing/ai-agent-on-cpu/) | February 17, 2025 | March 28, 2025 | 39 | ACM |
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| [Learn about the C++ memory model for porting applications to Arm](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arm-cpp-memory-model/) | February 17, 2025 | March 28, 2025 | 39 | ACM |
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| [Bedrust - invoke models on Amazon Bedrock](https://learn.arm.com/install-guides/bedrust/) | April 09, 2025 | April 13, 2025 | 4 | |
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| [ROS - Robot Operating System](https://learn.arm.com/install-guides/ros2/) | March 07, 2025 | April 04, 2025 | 28 | |
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| [Deploy Open AD Kit containerized autonomous driving simulation on Arm Neoverse](https://learn.arm.com/learning-paths/automotive/openadkit1_container/) | April 15, 2025 | April 21, 2025 | 6 | |
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| [Automate Windows on Arm Builds with GitHub Arm-hosted Runners](https://learn.arm.com/learning-paths/laptops-and-desktops/gh-arm-runners-win/) | April 16, 2025 | April 25, 2025 | 9 | |
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| [Write NEON intrinsics using GitHub Copilot to improve Adler32 performance](https://learn.arm.com/learning-paths/cross-platform/adler32/) | April 21, 2025 | April 25, 2025 | 4 | ACM |
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| [Nerdctl](https://learn.arm.com/install-guides/nerdctl/) | April 22, 2025 | April 25, 2025 | 3 | ACM |
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| Statistic | Value |
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|-----------|-------|
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| Number of Learning Paths published | 19 |
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| Number of ACM Learning Paths published | 10 |
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| Average time to publish (days) | 19.5 |
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| Longest time to publish (days) | 63 |
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_Report generated on April 28, 2025 at 16:29:22 CDT_
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‎data/reports/LP-report-2025-04.md‎

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## Learning Path Monthly Report for April 2025
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## Planned Learning Paths
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| Title | Program | Created Date |
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|-------|-----|--------------|
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| [Buildkite runners on Arm LP](https://github.com/ArmDeveloperEcosystem/roadmap/issues/12) | ACM | April 17, 2025 |
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| [OLAP workload benchmarking for Axion/Graviton](https://github.com/ArmDeveloperEcosystem/roadmap/issues/11) | ACM | April 15, 2025 |
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| [Go Migration and benchmarking for Axion](https://github.com/ArmDeveloperEcosystem/roadmap/issues/8) | ACM | April 10, 2025 |
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| [vLLM batch inferencing with Arm optimizations](https://github.com/ArmDeveloperEcosystem/roadmap/issues/5) | ACM | April 08, 2025 |
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| [Llama multi-modal vision chatbot LP with demo](https://github.com/ArmDeveloperEcosystem/roadmap/issues/4) | ACM | April 08, 2025 |
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| [.NET Migration LP for Azure](https://github.com/ArmDeveloperEcosystem/roadmap/issues/1) | ACM | April 08, 2025 |
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Total planned learning paths: 6
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## Published Learning Paths
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| Title | Start Date | Publish Date | Time to Publish (days) | Program |
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|-------|--------------|-------------|----------------------|-----|
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| [Boost C++ performance by optimizing loops with boundary information](https://learn.arm.com/learning-paths/cross-platform/cpp-loop-size-context/) | March 26, 2025 | April 21, 2025 | 26 | ACM |
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| [Build a CCA Attestation Service on AWS with Veraison](https://learn.arm.com/learning-paths/servers-and-cloud-computing/cca-veraison-aws/) | March 20, 2025 | April 25, 2025 | 36 | |
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| [Building and Benchmarking DLRM on Arm Neoverse V2 with MLPerf](https://learn.arm.com/learning-paths/servers-and-cloud-computing/dlrm/) | February 28, 2025 | April 04, 2025 | 35 | ACM |
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| [Optimizing graphics using Frame Advisor’s render graphs](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/render-graph-optimization/) | March 19, 2025 | April 13, 2025 | 25 | |
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| [Explore floating-point differences between x86 and Arm](https://learn.arm.com/learning-paths/cross-platform/floating-point-rounding-errors/) | March 17, 2025 | April 04, 2025 | 18 | ACM |
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| [Cyclone DDS](https://learn.arm.com/install-guides/cyclonedds/) | April 03, 2025 | April 04, 2025 | 1 | |
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| [Amazon Q Developer CLI](https://learn.arm.com/install-guides/aws-q-cli/) | March 31, 2025 | April 04, 2025 | 4 | |
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| [Bedrust - invoke models on Amazon Bedrock](https://learn.arm.com/install-guides/bedrust/) | April 09, 2025 | April 13, 2025 | 4 | |
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| [ROS - Robot Operating System](https://learn.arm.com/install-guides/ros2/) | March 07, 2025 | April 04, 2025 | 28 | |
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| [Deploy Open AD Kit containerized autonomous driving simulation on Arm Neoverse](https://learn.arm.com/learning-paths/automotive/openadkit1_container/) | April 15, 2025 | April 21, 2025 | 6 | |
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| [Automate Windows on Arm Builds with GitHub Arm-hosted Runners](https://learn.arm.com/learning-paths/laptops-and-desktops/gh-arm-runners-win/) | April 16, 2025 | April 25, 2025 | 9 | |
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| [Write NEON intrinsics using GitHub Copilot to improve Adler32 performance](https://learn.arm.com/learning-paths/cross-platform/adler32/) | April 21, 2025 | April 25, 2025 | 4 | ACM |
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| [Nerdctl](https://learn.arm.com/install-guides/nerdctl/) | April 22, 2025 | April 25, 2025 | 3 | ACM |
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| Statistic | Value |
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|-----------|-------|
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| Number of Learning Paths published | 13 |
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| Number of ACM Learning Paths published | 5 |
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| Average time to publish (days) | 15.3 |
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| Longest time to publish (days) | 36 |
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_Report generated on April 28, 2025 at 21:34:54 UTC_
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‎tools/generate_monthly_report.py‎

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# GitHub API settings
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GITHUB_API_URL = "https://api.github.com/graphql"
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GITHUB_TOKEN = os.getenv("GITHUB_TOKEN")
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GITHUB_TOKEN = os.getenv("PAT")
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if not GITHUB_TOKEN:
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# Fallback for GitHub Actions: use secrets.GITHUB_TOKEN if available
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GITHUB_TOKEN = os.getenv("ACTIONS_GITHUB_TOKEN")
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# Fallback for GitHub Actions: use secrets.PAT if available
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GITHUB_TOKEN = os.getenv("GITHUB_TOKEN")
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# GitHub project board settings
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ORGANIZATION = "ArmDeveloperEcosystem"
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print(f"## Learning Path Monthly Report for {report_date}\n")
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# Planned Learning Paths Table
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print("## Planned Learning Paths\n| Title | ACM | Created Date |")
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print("## Planned Learning Paths\n| Title | Program | Created Date |")
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print("|-------|-----|--------------|")
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open_issues = fetch_open_issues()
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planned_count = 0
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# Fetch and print Done items for the given month or range
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done_items = fetch_done_items(month_filter=month_filter, month_range=month_range)
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print("\n\n## Published Learning Paths\n| Title | Published URL | Start Date | Publish Date | Time to Publish (days) | ACM |")
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print("|-------|--------------|------------|-------------|----------------------|-----|")
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print("\n\n## Published Learning Paths\n| Title | Start Date | Publish Date | Time to Publish (days) | Program |")
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print("|-------|--------------|-------------|----------------------|-----|")
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published_count = 0
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time_to_publish_values = []
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for item in done_items:
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except Exception:
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time_to_publish = ''
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acm_col = "ACM" if item.get('acm_label') else ""
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print(f"| {title_link} | {html_title} | {formatted_start_date} | {formatted_publish_date} | {time_to_publish} | {acm_col} |")
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print(f"| {title_link} | {formatted_start_date} | {formatted_publish_date} | {time_to_publish} | {acm_col} |")
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published_count += 1
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print("\n| Statistic | Value |\n|-----------|-------|")

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