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
67 lines
1.6 KiB
Plaintext
67 lines
1.6 KiB
Plaintext
.. Copyright (C) 2001-2026 NLTK Project
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.. For license information, see LICENSE.TXT
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===============================================
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Generating sentences from context-free grammars
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===============================================
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An example grammar:
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>>> from nltk.parse.generate import generate, demo_grammar
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>>> from nltk import CFG
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>>> grammar = CFG.fromstring(demo_grammar)
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>>> print(grammar)
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Grammar with 13 productions (start state = S)
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S -> NP VP
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NP -> Det N
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PP -> P NP
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VP -> 'slept'
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VP -> 'saw' NP
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VP -> 'walked' PP
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Det -> 'the'
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Det -> 'a'
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N -> 'man'
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N -> 'park'
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N -> 'dog'
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P -> 'in'
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P -> 'with'
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The first 10 generated sentences:
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>>> for sentence in generate(grammar, n=10):
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... print(' '.join(sentence))
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the man slept
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the man saw the man
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the man saw the park
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the man saw the dog
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the man saw a man
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the man saw a park
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the man saw a dog
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the man walked in the man
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the man walked in the park
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the man walked in the dog
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All sentences of max depth 4:
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>>> for sentence in generate(grammar, depth=4):
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... print(' '.join(sentence))
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the man slept
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the park slept
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the dog slept
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a man slept
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a park slept
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a dog slept
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The number of sentences of different max depths:
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>>> len(list(generate(grammar, depth=3)))
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0
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>>> len(list(generate(grammar, depth=4)))
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6
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>>> len(list(generate(grammar, depth=5)))
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42
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>>> len(list(generate(grammar, depth=6)))
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114
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>>> len(list(generate(grammar)))
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114
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