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* [Feature]: Add minigpt-4 * [Feature]: Add mm local runner * [Feature]: Add instructblip * [Feature]: Delete redundant file * [Feature]: Delete redundant file * [Feature]: Add README to InstructBLIP * [Feature]: Update MiniGPT-4 * [Fix]: Fix lint * [Feature]add omnibenchmark readme (#49) * add omnibenchmark readme * fix * Update OmniMMBench.md * Update OmniMMBench.md * Update OmniMMBench.md * [Fix]: Refine name (#54) * [Feature]: Unify out and err * [Fix]: Fix lint * [Feature]: Rename to mmbench and change weight path * [Feature]: Delete Omni in instructblip * [Feature]: Check the avaliablity of lavis * [Fix]: Fix lint * [Feature]: Refactor MM * [Refactor]: Refactor path * [Feature]: Delete redundant files * [Refactor]: Delete redundant files --------- Co-authored-by: Wangbo Zhao(黑色枷锁) <56866854+wangbo-zhao@users.noreply.github.com>
33 lines
812 B
Python
33 lines
812 B
Python
import re
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from importlib_metadata import PackageNotFoundError, distribution
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from mmengine.utils import digit_version
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def satisfy_requirement(dep):
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pat = '(' + '|'.join(['>=', '==', '>']) + ')'
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parts = re.split(pat, dep, maxsplit=1)
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parts = [p.strip() for p in parts]
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package = parts[0]
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if len(parts) > 1:
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op, version = parts[1:]
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op = {
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'>=': '__ge__',
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'==': '__eq__',
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'>': '__gt__',
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'<': '__lt__',
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'<=': '__le__'
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}[op]
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else:
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op, version = None, None
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try:
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dist = distribution(package)
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if op is None or getattr(digit_version(dist.version), op)(
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digit_version(version)):
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return True
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except PackageNotFoundError:
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pass
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return False
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