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Oracle Drags Its Feet in the JavaScript Trademark Dispute
Oracle seeks to dismiss fraud claims in the JavaScript trademark dispute, delaying the case and avoiding questions about its right to the name.
Python script designed to clone Git repositories, detect programming languages, validate the code, and log the results to an Excel file.
This Python package is designed to clone Git repositories, detect their programming languages, validate the code, and log the results to an Excel file. It provides a user-friendly interface for processing multiple repositories efficiently.
You can install the package directly from PyPI using pip:
pip install automated-marking
After installation, you will need to create a repos.txt file in the root directory of your project. This file should contain the repository URLs and folder names, one per line, in the following format:
https://github.com/user/repo_name folder_name
Here's an example of a repos.txt
file:
https://github.com/example-user/java-project my-java-project
https://github.com/example-user/html-css-project my-html-css-project
https://github.com/example-user/sql-project my-sql-project
After setting up the repos.txt file, run the following command to start the script:
automated-marking
FAQs
Python script designed to clone Git repositories, detect programming languages, validate the code, and log the results to an Excel file.
We found that automated-marking demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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