python-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
Implement Python testing strategies using pytest, fixtures, and mocks. Supports writing tests, setting up suites, and adopting test-driven development practices.
Add type annotations, implement generic classes, and define structural interfaces in Python. Covers configuring mypy and pyright for strict type checking.
Provides guidance for Fully Sharded Data Parallel training in PyTorch. Covers parameter sharding, mixed precision, CPU offloading, and FSDP2.
Organizes PyTorch code into LightningModules and configures Trainers, data pipelines, callbacks, and experiment logging. Supports multi-GPU and TPU training and distributed strategies including DDP, FSDP, and DeepSpeed.
Uses the Zotero Web API v3 to retrieve, create, update, and delete library items and associated resources. Supports citation exports, library searches, PDF uploads, and research automation integrations.
Creates multiple-choice questions to check understanding of technical articles, documentation, tutorials, and book chapters. Accepts URLs, Markdown, text, or file paths and outputs quizzes in the specified YAML self-assessment format.
Identifies a World Q skill without describing its functionality.
Runs systematic web QA and iteratively fixes bugs, committing each fix atomically and re-verifying it. Offers Quick, Standard, and Exhaustive tiers and produces before-and-after health scores, fix evidence, and a ship-readiness summary.
Builds, installs, and launches the app in the iOS Simulator. Uses screenshots and accessibility descriptions to check that changes look and behave correctly.
Scopes and plans a browser-driven QA pass over a branch or pull request. Assigns each testing area to a subagent in an isolated sandbox and compiles findings into a severity-ranked Markdown report.
Restates the understood requirement before presenting a decision table. Includes recommendations to support requirement clarification.
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