- Nov 28, 2023
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Jason Kridner authored
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- Nov 10, 2023
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Jason Kridner authored
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- Nov 09, 2023
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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- Oct 29, 2023
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Brian authored
Add CodeQL Workflow for Code Security Analysis This pull request introduces a CodeQL workflow to enhance the security analysis of our repository. CodeQL is a powerful static analysis tool that helps identify and mitigate security vulnerabilities in our codebase. By integrating this workflow into our GitHub Actions, we can proactively identify and address potential issues before they become security threats. We added a new CodeQL workflow file (.github/workflows/codeql.yml) that - Runs on every pull request (functionality to run on every push to main branches is included as a comment for convenience). - Runs daily. - Excludes queries with a high false positive rate or low-severity findings. - Does not display results for git submodules, focusing only on our own codebase. Testing: To validate the functionality of this workflow, we have run several test scans on the codebase and reviewed the results. The workflow successfully compiles the project, identifies issues, and provides actionable insights while reducing noise by excluding certain queries and third-party code. Deployment: Once this pull request is merged, the CodeQL workflow will be active and automatically run on every push and pull request to the main branch. To view the results of these code scans, please follow these steps: 1. Under the repository name, click on the Security tab. 2. In the left sidebar, click Code scanning alerts. Additional Information: - You can further customize the workflow to adapt to your specific needs by modifying the workflow file. - For more information on CodeQL and how to interpret its results, refer to the GitHub documentation and the CodeQL documentation (https://codeql.github.com/ and https://codeql.github.com/docs/ ). Signed-off-by:
Brian <bayuan@purdue.edu>
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- Oct 28, 2023
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Jason Kridner authored
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- Oct 26, 2023
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Jason Kridner authored
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- Oct 25, 2023
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Jason Kridner authored
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Jason Kridner authored
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- Oct 20, 2023
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Brian authored
Add CodeQL Workflow for Code Security Analysis This pull request introduces a CodeQL workflow to enhance the security analysis of our repository. CodeQL is a powerful static analysis tool that helps identify and mitigate security vulnerabilities in our codebase. By integrating this workflow into our GitHub Actions, we can proactively identify and address potential issues before they become security threats. We added a new CodeQL workflow file (.github/workflows/codeql.yml) that - Runs on every pull request (functionality to run on every push to main branches is included as a comment for convenience). - Runs daily. - Excludes queries with a high false positive rate or low-severity findings. - Does not display results for git submodules, focusing only on our own codebase. Testing: To validate the functionality of this workflow, we have run several test scans on the codebase and reviewed the results. The workflow successfully compiles the project, identifies issues, and provides actionable insights while reducing noise by excluding certain queries and third-party code. Deployment: Once this pull request is merged, the CodeQL workflow will be active and automatically run on every push and pull request to the main branch. To view the results of these code scans, please follow these steps: 1. Under the repository name, click on the Security tab. 2. In the left sidebar, click Code scanning alerts. Additional Information: - You can further customize the workflow to adapt to your specific needs by modifying the workflow file. - For more information on CodeQL and how to interpret its results, refer to the GitHub documentation and the CodeQL documentation (https://codeql.github.com/ and https://codeql.github.com/docs/ ). Signed-off-by:
Brian <bayuan@purdue.edu>
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- Oct 18, 2023
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Brian authored
Add CodeQL Workflow for Code Security Analysis This pull request introduces a CodeQL workflow to enhance the security analysis of our repository. CodeQL is a powerful static analysis tool that helps identify and mitigate security vulnerabilities in our codebase. By integrating this workflow into our GitHub Actions, we can proactively identify and address potential issues before they become security threats. We added a new CodeQL workflow file (.github/workflows/codeql.yml) that - Runs on every pull request (functionality to run on every push to main branches is included as a comment for convenience). - Runs daily. - Excludes queries with a high false positive rate or low-severity findings. - Does not display results for git submodules, focusing only on our own codebase. Testing: To validate the functionality of this workflow, we have run several test scans on the codebase and reviewed the results. The workflow successfully compiles the project, identifies issues, and provides actionable insights while reducing noise by excluding certain queries and third-party code. Deployment: Once this pull request is merged, the CodeQL workflow will be active and automatically run on every push and pull request to the main branch. To view the results of these code scans, please follow these steps: 1. Under the repository name, click on the Security tab. 2. In the left sidebar, click Code scanning alerts. Additional Information: - You can further customize the workflow to adapt to your specific needs by modifying the workflow file. - For more information on CodeQL and how to interpret its results, refer to the GitHub documentation and the CodeQL documentation (https://codeql.github.com/ and https://codeql.github.com/docs/ ). Signed-off-by:
Brian <bayuan@purdue.edu>
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- Oct 11, 2023
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Brian authored
Add CodeQL Workflow for Code Security Analysis This pull request introduces a CodeQL workflow to enhance the security analysis of our repository. CodeQL is a powerful static analysis tool that helps identify and mitigate security vulnerabilities in our codebase. By integrating this workflow into our GitHub Actions, we can proactively identify and address potential issues before they become security threats. We added a new CodeQL workflow file (.github/workflows/codeql.yml) that - Runs on every push and pull request to the main branch. - Excludes queries with a high false positive rate or low-severity findings. - Does not display results for third-party code, focusing only on our own codebase. Testing: To validate the functionality of this workflow, we have run several test scans on the codebase and reviewed the results. The workflow successfully compiles the project, identifies issues, and provides actionable insights while reducing noise by excluding certain queries and third-party code. Deployment: Once this pull request is merged, the CodeQL workflow will be active and automatically run on every push and pull request to the main branch. To view the results of these code scans, please follow these steps: 1. Under the repository name, click on the Security tab. 2. In the left sidebar, click Code scanning alerts. Additional Information: - You can further customize the workflow to adapt to your specific needs by modifying the workflow file. - For more information on CodeQL and how to interpret its results, refer to the GitHub documentation and the CodeQL documentation. Signed-off-by:
Brian <bayuan@purdue.edu>
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- Apr 25, 2022
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Jason Kridner authored
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- Jul 16, 2020
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Jason Kridner authored
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Jason Kridner authored
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- Jul 15, 2020
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Jason Kridner authored
V1.0.5 merge
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- Jun 22, 2020
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Jason Kridner authored
Fixed off by one for motor==0
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- Jun 19, 2020
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Mark Yoder authored
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- Jun 18, 2020
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
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Jason Kridner authored
Pin assignments for motors loaded to https://docs.google.com/spreadsheets/d/1fE-AsDZvJ-bBwzNBj1_sPDrutvEvsmARqFwvbw_HkrE/edit?usp=sharing
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Mark Yoder authored
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Mark Yoder authored
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Jason Kridner authored
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Jason Kridner authored
Depends on https://github.com/beagleboard/customizations/commit/d9659ecd38f87feafb40e735c883fa33278e4dcd Fixes https://github.com/beagleboard/librobotcontrol/issues/180 This first seen as https://github.com/beagleboard/Latest-Images/issues/23 This is understood to have been caused by setting remoteproc to be a module: https://github.com/beagleboard/linux/commit/905625c9cf2b7b1b4666c9d539f7e9b631fcc6e1#diff-33a10e3332c04ed8bae3a266caa5c723R2027 Whereas it use to be a built-in: https://github.com/beagleboard/linux/commit/2a8a6a110c8348dcf4e67ce358044ce62bfe175d#diff-33a10e3332c04ed8bae3a266caa5c723R2040 Although, mainline has disabled module based remoteproc builds for now, so indexes will likely change again: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=6334150e9a36467e253371c923a23955c831a295 Fortunately, with the new udev rule, we should be immune unless we actually decide to change the name ourselves.
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- Jun 02, 2020
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Jason Kridner authored
Add Beagle as a contributor
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- Feb 18, 2020
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StrawsonDesign authored
added EXT_CFLAGS to CFLAGS in order to enable native build for px4
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StrawsonDesign authored
remove leftover comment
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