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add tests for PyPI METADATA versions (#4180)
Ref: #4175 Signed-off-by: Alok Kumar <[email protected]>
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‎tests/packagedcode/data/pypi/metadata/v22/PKG-INFO‎

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Metadata-Version: 2.2
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Name: ForeTiS
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Version: 0.0.7
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Summary: state-of-the-art and easy-to-use time series forecasting
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Home-page: https://github.com/grimmlab/ForeTiS
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Author: Josef Eiglsperger, Florian Haselbeck; Dominik G. Grimm
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Author-email: [email protected]
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License: MIT
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Project-URL: Documentation, https://ForeTiS.readthedocs.io/
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Project-URL: Source, https://github.com/grimmlab/ForeTiS
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Classifier: Development Status :: 2 - Pre-Alpha
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Classifier: Intended Audience :: Science/Research
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Operating System :: POSIX :: Linux
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Classifier: Programming Language :: Python :: 3
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Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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Requires-Python: >=3.8
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Description-Content-Type: text/markdown
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License-File: LICENSE
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Requires-Dist: torch>=1.11.0
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Requires-Dist: xgboost>=1.5.2
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Requires-Dist: optuna>=2.10.0
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Requires-Dist: sqlalchemy==1.4.46
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Requires-Dist: joblib>=1.1.0
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Requires-Dist: numpy>=1.22.2
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Requires-Dist: pandas>=1.4.1
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Requires-Dist: scikit-learn>=1.0.2
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Requires-Dist: tensorflow>=2.8.0
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Requires-Dist: tensorflow-probability>=0.18
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Requires-Dist: statsmodels>=0.13.2
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Requires-Dist: scipy>=1.8.1
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Requires-Dist: pmdarima>=2.0.1
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Requires-Dist: gpflow>=2.5.2
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Requires-Dist: matplotlib>=3.3.0
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Requires-Dist: changefinder>=0.3
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Requires-Dist: bayesian_torch
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Requires-Dist: blitz-bayesian-pytorch
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Requires-Dist: tables>=3.7.0

‎tests/packagedcode/data/pypi/metadata/v22/PKG-INFO-expected.json‎

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[
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{
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"type": "pypi",
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"namespace": null,
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"name": "ForeTiS",
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"version": "0.0.7",
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"qualifiers": {},
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"subpath": null,
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"primary_language": "Python",
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"description": "state-of-the-art and easy-to-use time series forecasting",
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"release_date": null,
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"parties": [
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{
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"type": "person",
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"role": "author",
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"name": "Josef Eiglsperger, Florian Haselbeck; Dominik G. Grimm",
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"email": "[email protected]",
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"url": null
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}
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],
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"keywords": [
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"Development Status :: 2 - Pre-Alpha",
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"Intended Audience :: Science/Research",
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"Operating System :: POSIX :: Linux",
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"Programming Language :: Python :: 3",
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"Topic :: Scientific/Engineering :: Artificial Intelligence"
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],
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"homepage_url": "https://github.com/grimmlab/ForeTiS",
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"download_url": null,
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"size": null,
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"sha1": null,
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"md5": null,
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"sha256": null,
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"sha512": null,
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"bug_tracking_url": null,
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"code_view_url": "https://github.com/grimmlab/ForeTiS",
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"vcs_url": null,
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"copyright": null,
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"holder": null,
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"declared_license_expression": "mit",
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"declared_license_expression_spdx": "MIT",
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"license_detections": [
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{
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"license_expression": "mit",
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"license_expression_spdx": "MIT",
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"matches": [
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{
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"license_expression": "mit",
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"license_expression_spdx": "MIT",
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"from_file": null,
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"start_line": 1,
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"end_line": 1,
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"matcher": "1-spdx-id",
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"score": 100.0,
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"matched_length": 1,
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"match_coverage": 100.0,
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"rule_relevance": 100,
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"rule_identifier": "spdx-license-identifier-mit-5da48780aba670b0860c46d899ed42a0f243ff06",
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"rule_url": null,
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"matched_text": "MIT"
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}
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],
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"identifier": "mit-a822f434-d61f-f2b1-c792-8b8cb9e7b9bf"
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},
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{
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"license_expression": "mit",
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"license_expression_spdx": "MIT",
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"matches": [
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{
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"license_expression": "mit",
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"license_expression_spdx": "MIT",
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"from_file": null,
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"start_line": 1,
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"end_line": 1,
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"matcher": "1-hash",
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"score": 100.0,
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"matched_length": 5,
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"match_coverage": 100.0,
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"rule_relevance": 100,
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"rule_identifier": "pypi_mit_license.RULE",
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"rule_url": "https://github.com/nexB/scancode-toolkit/tree/develop/src/licensedcode/data/rules/pypi_mit_license.RULE",
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"matched_text": "- 'License :: OSI Approved :: MIT License'"
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}
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],
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"identifier": "mit-24a5293c-14d7-5403-efac-1a8b7532c0e8"
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}
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],
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"other_license_expression": null,
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"other_license_expression_spdx": null,
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"other_license_detections": [],
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"extracted_license_statement": "license: MIT\nclassifiers:\n - 'License :: OSI Approved :: MIT License'\n",
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"notice_text": null,
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"source_packages": [],
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"file_references": [],
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"is_private": false,
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"is_virtual": false,
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"extra_data": {
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"Documentation": "https://ForeTiS.readthedocs.io/",
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"license_file": "LICENSE"
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},
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"dependencies": [
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{
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"purl": "pkg:pypi/torch",
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"extracted_requirement": ">=1.11.0",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/xgboost",
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"extracted_requirement": ">=1.5.2",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/optuna",
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"extracted_requirement": ">=2.10.0",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/[email protected]",
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"extracted_requirement": "==1.4.46",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": true,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/joblib",
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"extracted_requirement": ">=1.1.0",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/numpy",
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"extracted_requirement": ">=1.22.2",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/pandas",
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"extracted_requirement": ">=1.4.1",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/scikit-learn",
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"extracted_requirement": ">=1.0.2",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/tensorflow",
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"extracted_requirement": ">=2.8.0",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/tensorflow-probability",
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"extracted_requirement": ">=0.18",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/statsmodels",
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"extracted_requirement": ">=0.13.2",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/scipy",
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"extracted_requirement": ">=1.8.1",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/pmdarima",
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"extracted_requirement": ">=2.0.1",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/gpflow",
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"extracted_requirement": ">=2.5.2",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/matplotlib",
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"extracted_requirement": ">=3.3.0",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/changefinder",
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"extracted_requirement": ">=0.3",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/bayesian-torch",
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"extracted_requirement": null,
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/blitz-bayesian-pytorch",
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"extracted_requirement": null,
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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},
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{
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"purl": "pkg:pypi/tables",
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"extracted_requirement": ">=3.7.0",
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"scope": "install",
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"is_runtime": true,
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"is_optional": false,
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"is_pinned": false,
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"is_direct": true,
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"resolved_package": {},
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"extra_data": {}
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}
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],
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"repository_homepage_url": "https://pypi.org/project/ForeTiS",
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"repository_download_url": "https://pypi.org/packages/source/F/ForeTiS/ForeTiS-0.0.7.tar.gz",
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"api_data_url": "https://pypi.org/pypi/ForeTiS/0.0.7/json",
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"datasource_id": "pypi_sdist_pkginfo",
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"purl": "pkg:pypi/[email protected]"
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}
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]

‎tests/packagedcode/data/pypi/metadata/v23/PKG-INFO‎

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Metadata-Version: 2.3
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Name: hatchling
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Version: 1.22.4
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Summary: Modern, extensible Python build backend
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Project-URL: Homepage, https://hatch.pypa.io/latest/
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Project-URL: Sponsor, https://github.com/sponsors/ofek
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Project-URL: History, https://hatch.pypa.io/dev/history/hatchling/
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Project-URL: Tracker, https://github.com/pypa/hatch/issues
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Project-URL: Source, https://github.com/pypa/hatch/tree/master/backend
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Author-email: Ofek Lev <[email protected]>
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License-Expression: MIT
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License-File: LICENSE.txt
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Keywords: build,hatch,packaging
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Natural Language :: English
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Programming Language :: Python :: Implementation :: CPython
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Classifier: Programming Language :: Python :: Implementation :: PyPy
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Classifier: Topic :: Software Development :: Build Tools
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Requires-Python: >=3.8
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Requires-Dist: packaging>=21.3
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Requires-Dist: pathspec>=0.10.1
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Requires-Dist: pluggy>=1.0.0
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Requires-Dist: tomli>=1.2.2; python_version < '3.11'
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Requires-Dist: trove-classifiers
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Description-Content-Type: text/markdown

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