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
84 lines
2.3 KiB
Plaintext
84 lines
2.3 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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EasyInstall Tests
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=================
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This file contains some simple tests that will be run by EasyInstall in
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order to test the installation when NLTK-Data is absent.
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------------
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Tokenization
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------------
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>>> from nltk.tokenize import wordpunct_tokenize
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>>> s = ("Good muffins cost $3.88\nin New York. Please buy me\n"
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... "two of them.\n\nThanks.")
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>>> wordpunct_tokenize(s)
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['Good', 'muffins', 'cost', '$', '3', '.', '88', 'in', 'New', 'York', '.',
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'Please', 'buy', 'me', 'two', 'of', 'them', '.', 'Thanks', '.']
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-------
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Metrics
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-------
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>>> from nltk.metrics import precision, recall, f_measure
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>>> reference = 'DET NN VB DET JJ NN NN IN DET NN'.split()
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>>> test = 'DET VB VB DET NN NN NN IN DET NN'.split()
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>>> reference_set = set(reference)
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>>> test_set = set(test)
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>>> precision(reference_set, test_set)
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1.0
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>>> print(recall(reference_set, test_set))
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0.8
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>>> print(f_measure(reference_set, test_set))
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0.88888888888...
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------------------
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Feature Structures
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------------------
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>>> from nltk import FeatStruct
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>>> fs1 = FeatStruct(PER=3, NUM='pl', GND='fem')
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>>> fs2 = FeatStruct(POS='N', AGR=fs1)
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>>> print(fs2)
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[ [ GND = 'fem' ] ]
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[ AGR = [ NUM = 'pl' ] ]
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[ [ PER = 3 ] ]
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[ ]
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[ POS = 'N' ]
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>>> print(fs2['AGR'])
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[ GND = 'fem' ]
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[ NUM = 'pl' ]
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[ PER = 3 ]
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>>> print(fs2['AGR']['PER'])
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3
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-------
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Parsing
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-------
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>>> from nltk.parse.recursivedescent import RecursiveDescentParser
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>>> from nltk.grammar import CFG
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>>> grammar = CFG.fromstring("""
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... S -> NP VP
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... PP -> P NP
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... NP -> 'the' N | N PP | 'the' N PP
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... VP -> V NP | V PP | V NP PP
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... N -> 'cat' | 'dog' | 'rug'
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... V -> 'chased'
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... P -> 'on'
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... """)
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>>> rd = RecursiveDescentParser(grammar)
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>>> sent = 'the cat chased the dog on the rug'.split()
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>>> for t in rd.parse(sent):
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... print(t)
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(S
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(NP the (N cat))
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(VP (V chased) (NP the (N dog) (PP (P on) (NP the (N rug))))))
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(S
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(NP the (N cat))
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(VP (V chased) (NP the (N dog)) (PP (P on) (NP the (N rug)))))
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