technical_drawings_extraction/venv/lib/python3.7/site-packages/nltk/test/generate.doctest

.. Copyright (C) 2001-2019 NLTK Project
.. For license information, see LICENSE.TXT

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Generating sentences from context-free grammars
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An example grammar:

    >>> from nltk.parse.generate import generate, demo_grammar
    >>> from nltk import CFG
    >>> grammar = CFG.fromstring(demo_grammar)
    >>> print(grammar)
    Grammar with 13 productions (start state = S)
        S -> NP VP
        NP -> Det N
        PP -> P NP
        VP -> 'slept'
        VP -> 'saw' NP
        VP -> 'walked' PP
        Det -> 'the'
        Det -> 'a'
        N -> 'man'
        N -> 'park'
        N -> 'dog'
        P -> 'in'
        P -> 'with'

The first 10 generated sentences:

    >>> for sentence in generate(grammar, n=10):
    ...     print(' '.join(sentence))
    the man slept
    the man saw the man
    the man saw the park
    the man saw the dog
    the man saw a man
    the man saw a park
    the man saw a dog
    the man walked in the man
    the man walked in the park
    the man walked in the dog

All sentences of max depth 4:

    >>> for sentence in generate(grammar, depth=4):
    ...     print(' '.join(sentence))
    the man slept
    the park slept
    the dog slept
    a man slept
    a park slept
    a dog slept

The number of sentences of different max depths:

    >>> len(list(generate(grammar, depth=3)))
    0
    >>> len(list(generate(grammar, depth=4)))
    6
    >>> len(list(generate(grammar, depth=5)))
    42
    >>> len(list(generate(grammar, depth=6)))
    114
    >>> len(list(generate(grammar)))
    114