python-patterns

Pythonic 惯用法、PEP 8 标准、类型提示以及构建健壮、高效、可维护的 Python 应用程序的最佳实践。

1.17x

Quality

48%

Does it follow best practices?

Impact

94%

1.17x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

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Evaluation results

100%

Build a Python Library for Employee Records Management

Python package structure and tooling configuration

Criteria

Without context

With context

src/ layout

100%

tests/ at root

100%

pyproject.toml present

100%

black line-length 88

100%

ruff configuration

100%

mypy strict settings

100%

pytest configuration

100%

__all__ export list

100%

Import ordering

100%

Dataclass usage

100%

dataclass field defaults

100%

__post_init__ validation

100%

Type hints on functions

100%

No mutable defaults

100%

14%

Build a Log File Processing Pipeline

Error handling patterns and generators

Criteria

Without context

With context

EAFP over LBYL

100%

Custom exception base class

100%

Custom exception subclasses

100%

Specific exception catching

62%

100%

Exception chaining

100%

Context manager usage

100%

Custom context manager

100%

Generator function

100%

List comprehension use

100%

String join over concatenation

100%

Type hints present

75%

100%

No wildcard imports

100%

83%

20%

Build a Multi-Source Data Aggregation Module

Concurrency, type system, and performance patterns

Criteria

Without context

With context

ThreadPoolExecutor for I/O

ProcessPoolExecutor for CPU

100%

asyncio.gather for async I/O

100%

Protocol for duck typing

100%

Python 3.9+ generic types

100%

__slots__ usage

100%

functools.wraps in decorators

100%

isinstance over type()

100%

None comparison with is

100%

Generator expression for aggregation

100%

Type hints on all functions

57%

100%

No explicit imports of List/Dict from typing

100%

Repository: haniakrim21/everything-claude-code
Commit: ae2cadd

Evaluated: 18 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Build a Python Library for Employee Records Management Build a Log File Processing Pipeline Build a Multi-Source Data Aggregation Module

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