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pylock.toml (PEP 751) | aedbec14424d5baf2c5978ce40b89c04dfd1e69e2f68eb2c961b3a89026e9371 | 4.568717 | null | 2a844e58a6125d91b8f7 | [
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pylock.toml (PEP 751) | 89856b39e8dd5ef76cc07f0d30cb7a07607f069d205ff5896b55fd01bada6a88 | 2.562184 | ValueError | a067ee8b949c4b4ca00e | [
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pylock.toml (PEP 751) | 8bee63e13f6dce85330eed0142b866486ce99571de29f9dd6d21ac4225d595d7 | 2.438105 | ValueError | d243d415c8347449986f | [
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pylock.toml (PEP 751) | 40581e41b72545ce08718c27e0d2e3b8ac35e04515f568d21c0eb31c8f9b6140 | 2.645636 | ValueError | d64639ee9b71c4e2463a | [
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null | null | 1.279719 | null | ea887d85ea9d6913691b | [] | [] | true | × No solution found when resolving dependencies: ╰─▶ Because only the following versions of numpy are available: numpy<1.17.3 numpy>=2.0 and scikit-learn==1.3.2 depends on numpy>=1.17.3,<2.0, we can conclude that scikit-learn==1.3.2 cannot be used. And because only scikit-learn==1.3.2 is available and you require sciki... | resolution_failure | {
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