103 lines
1.9 KiB
Nix
103 lines
1.9 KiB
Nix
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{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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# build-system
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poetry-core,
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# dependencies
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aiohttp,
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docstring-parser,
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jiter,
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openai,
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pydantic,
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rich,
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tenacity,
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typer,
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# tests
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anthropic,
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diskcache,
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fastapi,
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google-generativeai,
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jinja2,
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pytest-asyncio,
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pytestCheckHook,
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python-dotenv,
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redis,
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}:
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buildPythonPackage rec {
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pname = "instructor";
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version = "1.6.3";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "jxnl";
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repo = "instructor";
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rev = "refs/tags/${version}";
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hash = "sha256-L/7oErXu0U2G20pFfEReSKAK3P1BseybnPHazA7w6cM=";
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};
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pythonRelaxDeps = [
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"docstring-parser"
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"jiter"
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"pydantic"
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"tenacity"
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];
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build-system = [ poetry-core ];
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dependencies = [
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aiohttp
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docstring-parser
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jiter
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openai
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pydantic
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rich
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tenacity
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typer
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];
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nativeCheckInputs = [
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anthropic
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diskcache
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fastapi
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google-generativeai
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jinja2
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pytest-asyncio
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pytestCheckHook
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python-dotenv
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redis
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];
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pythonImportsCheck = [ "instructor" ];
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disabledTests = [
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# Tests require OpenAI API key
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"successfully"
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"test_mode_functions_deprecation_warning"
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"test_partial"
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# Requires unpackaged `vertexai`
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"test_json_preserves_description_of_non_english_characters_in_json_mode"
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];
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disabledTestPaths = [
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# Tests require OpenAI API key
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"tests/test_distil.py"
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"tests/llm/"
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];
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meta = {
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broken = lib.versionOlder pydantic.version "2"; # ImportError: cannot import name 'TypeAdapter' from 'pydantic'
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description = "Structured outputs for llm";
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homepage = "https://github.com/jxnl/instructor";
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changelog = "https://github.com/jxnl/instructor/releases/tag/${lib.removePrefix "refs/tags/" src.rev}";
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license = lib.licenses.mit;
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maintainers = with lib.maintainers; [ mic92 ];
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mainProgram = "instructor";
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};
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}
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