87 lines
3.2 KiB
Python
87 lines
3.2 KiB
Python
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from __future__ import division
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def initRepeat(container, func, n):
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"""Call the function *container* with a generator function corresponding
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to the calling *n* times the function *func*.
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:param container: The type to put in the data from func.
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:param func: The function that will be called n times to fill the
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container.
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:param n: The number of times to repeat func.
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:returns: An instance of the container filled with data from func.
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This helper function can can be used in conjunction with a Toolbox
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to register a generator of filled containers, as individuals or
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population.
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>>> initRepeat(list, random.random, 2) # doctest: +ELLIPSIS,
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... # doctest: +NORMALIZE_WHITESPACE
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[0.4761..., 0.6302...]
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See the :ref:`list-of-floats` and :ref:`population` tutorials for more examples.
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"""
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return container(func() for _ in xrange(n))
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def initIterate(container, generator):
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"""Call the function *container* with an iterable as
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its only argument. The iterable must be returned by
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the method or the object *generator*.
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:param container: The type to put in the data from func.
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:param generator: A function returning an iterable (list, tuple, ...),
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the content of this iterable will fill the container.
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:returns: An instance of the container filled with data from the
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generator.
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This helper function can can be used in conjunction with a Toolbox
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to register a generator of filled containers, as individuals or
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population.
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>>> from random import sample
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>>> from functools import partial
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>>> gen_idx = partial(sample, range(10), 10)
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>>> initIterate(list, gen_idx)
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[4, 5, 3, 6, 0, 9, 2, 7, 1, 8]
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See the :ref:`permutation` and :ref:`arithmetic-expr` tutorials for
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more examples.
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"""
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return container(generator())
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def initCycle(container, seq_func, n=1):
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"""Call the function *container* with a generator function corresponding
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to the calling *n* times the functions present in *seq_func*.
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:param container: The type to put in the data from func.
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:param seq_func: A list of function objects to be called in order to
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fill the container.
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:param n: Number of times to iterate through the list of functions.
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:returns: An instance of the container filled with data from the
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returned by the functions.
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This helper function can can be used in conjunction with a Toolbox
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to register a generator of filled containers, as individuals or
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population.
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>>> func_seq = [lambda:1 , lambda:'a', lambda:3]
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>>> initCycle(list, func_seq, n=2)
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[1, 'a', 3, 1, 'a', 3]
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See the :ref:`funky` tutorial for an example.
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"""
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return container(func() for _ in xrange(n) for func in seq_func)
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__all__ = ['initRepeat', 'initIterate', 'initCycle']
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if __name__ == "__main__":
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import doctest
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import random
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random.seed(64)
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doctest.run_docstring_examples(initRepeat, globals())
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random.seed(64)
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doctest.run_docstring_examples(initIterate, globals())
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doctest.run_docstring_examples(initCycle, globals())
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