mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-02-06 01:54:11 +08:00
3da0ef2adb
- Implemented tests for the QueryParser class, covering various identifier splitting methods (CamelCase, snake_case, kebab-case), OR expansion, and FTS5 operator preservation. - Added parameterized tests to validate expected token outputs for different query formats. - Created edge case tests to ensure robustness against unusual input scenarios. - Developed tests for the Reciprocal Rank Fusion (RRF) algorithm, including score computation, weight handling, and result ranking across multiple sources. - Included tests for normalization of BM25 scores and tagging search results with source metadata.
48 lines
995 B
TOML
48 lines
995 B
TOML
[build-system]
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requires = ["setuptools>=61.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "codex-lens"
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version = "0.1.0"
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description = "CodexLens multi-modal code analysis platform"
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readme = "README.md"
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requires-python = ">=3.10"
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license = { text = "MIT" }
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authors = [
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{ name = "CodexLens contributors" }
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]
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dependencies = [
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"typer>=0.9",
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"rich>=13",
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"pydantic>=2.0",
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"tree-sitter>=0.20",
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"tree-sitter-python>=0.25",
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"tree-sitter-javascript>=0.25",
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"tree-sitter-typescript>=0.23",
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"pathspec>=0.11",
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]
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[project.optional-dependencies]
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# Semantic search using fastembed (ONNX-based, lightweight ~200MB)
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semantic = [
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"numpy>=1.24",
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"fastembed>=0.2",
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]
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# Encoding detection for non-UTF8 files
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encoding = [
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"chardet>=5.0",
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]
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# Full features including tiktoken for accurate token counting
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full = [
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"tiktoken>=0.5.0",
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]
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[project.urls]
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Homepage = "https://github.com/openai/codex-lens"
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[tool.setuptools]
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package-dir = { "" = "src" }
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