知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
55 lines
1.4 KiB
Plaintext
55 lines
1.4 KiB
Plaintext
.. Copyright (C) 2001-2026 NLTK Project
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.. For license information, see LICENSE.TXT
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.. -*- coding: utf-8 -*-
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=============
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METEOR tests
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=============
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No Alignment test
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------------------
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>>> from nltk.translate import meteor
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>>> from nltk import word_tokenize
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If the candidate has no alignment to any of the references, the METEOR score is 0.
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>>> round(meteor(
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... [word_tokenize('The candidate has no alignment to any of the references')],
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... word_tokenize('John loves Mary')
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... ), 4)
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0.0
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Tests based on wikipedia examples
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---------------------------------
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Testing on `wikipedia examples <https://en.wikipedia.org/wiki/METEOR#Examples>`_
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>>> same_res = round(meteor(
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... [word_tokenize('The cat sat on the mat')],
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... word_tokenize('The cat sat on the mat')
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... ), 4)
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>>> abs(same_res - 0.9977) < 1e-2
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True
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>>> meteor(
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... [word_tokenize('The cat sat on the mat')],
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... word_tokenize('on the mat sat the cat')
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... )
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0.5
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>>> round(meteor(
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... [word_tokenize('The cat sat on the mat')],
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... word_tokenize('The cat was sat on the mat')
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... ), 4)
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0.9654
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Test corresponding to issue #2751, where METEOR score > 1
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>>> round(meteor(
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... [word_tokenize('create or update a vm set')],
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... word_tokenize('creates or updates a virtual machine scale set')
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... ), 4)
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0.7806
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