AI Analysis
The package exhibits no direct signs of malicious intent such as network calls or shell executions. However, the metadata suggests low effort and lack of transparency, which raises concerns about its origin and purpose.
- Low metadata quality
- Lack of package description
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution detected, which is expected unless the package requires system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The package shows signs of low effort and potential lack of transparency, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to create a command-line utility named 'BinarySearchTool' using Python, which leverages the 'arpit-binarysearch' package to perform binary search operations on sorted lists of integers. This tool will provide users with an interactive experience to input their own data and query specific elements efficiently. Step-by-Step Instructions: 1. Begin by installing the 'arpit-binarysearch' package if it isn't already installed. You can install it via pip: `pip install arpit-binarysearch` 2. Design a function that allows users to input a sorted list of integers through the command line interface. 3. Implement another function that takes user queries for specific integer values within this list. Use the 'arpit-binarysearch' package to execute a binary search on the provided list to find the queried value. 4. Ensure your application outputs whether the queried value exists in the list and, if so, its index position. 5. Add functionality to allow users to exit the program gracefully when they're done. 6. Enhance the usability of your application by adding error handling for scenarios such as non-integer inputs or unsorted lists. 7. Finally, write a simple README.md file explaining how to run the application and any necessary setup instructions. Suggested Features: - Interactive mode allowing continuous querying until the user decides to exit. - Support for both ascending and descending order sorted lists. - Error messages for invalid inputs or non-existent values. - An option to load predefined datasets for testing purposes.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue