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我试图在如何自动生成 N 个“不同”颜色的末尾重用该解决方案？使用 Python 2.7。

不幸的是，下面的代码永远不会返回，因为即使islice()请求了前 100 次迭代，看起来内部映射调用就像

gethsvs = lambda: flatten(itertools.imap(genhsv, getfracs()))

强制获取所有迭代。除了将迭代次数传递给所有 lambda 函数之外，有没有办法islice()在主代码中进行调用，如下所示，但在所有内部映射中也只获得前 100 次迭代？

import colorsys, itertools, numpy as np
from fractions import Fraction

def zenos_dichotomy():
    '''
http://en.wikipedia.org/wiki/1/2_%2B_1/4_%2B_1/8_%2B_1/16_%2B_%C2%B7_%C2%B7_%C2%B7
    '''
    for k in itertools.count():
        yield Fraction(1, 2 ** k)

def getfracs():
    '''
    [Fraction(0, 1), Fraction(1, 2), Fraction(1, 4), Fraction(3, 4), Fraction(1, 8), Fraction(3, 8), Fraction(5, 8), Fraction(7, 8), Fraction(1, 16), Fraction(3, 16), ...]
    [0.0, 0.5, 0.25, 0.75, 0.125, 0.375, 0.625, 0.875, 0.0625, 0.1875, ...]
    '''
    yield 0
    for k in zenos_dichotomy():
        i = k.denominator # [1,2,4,8,16,...]
        for j in range(1, i, 2):
            yield Fraction(j, i)

'''Can be used for the v in hsv to map linear values 0..1 to something that looks equidistant.'''
bias = lambda x: (np.sqrt(x / 3) / Fraction(2, 3) + Fraction(1, 3)) / Fraction(6, 5)

def genhsv(h):
    for s in [Fraction(6, 10)]: # optionally use range
        for v in [Fraction(8, 10), Fraction(5, 10)]: # could use range too
            yield (h, s, v) # use bias for v here if you use range

genrgb = lambda x: colorsys.hsv_to_rgb(*x)
flatten = itertools.chain.from_iterable
gethsvs = lambda: flatten(itertools.imap(genhsv, getfracs()))
getrgbs = lambda: itertools.imap(genrgb, gethsvs())

def genhtml(x):
    uint8tuple = itertools.imap(lambda y: int(y * 255), x)
    return 'rgb({},{},{})'.format(*uint8tuple)

gethtmlcolors = lambda: map(genhtml, getrgbs())

if __name__ == '__main__':
    print(list(itertools.islice(gethtmlcolors(), 100)))
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1 回答 1

2

您在lambda中使用map()而不是：itertools.imap()gethtmlcolors

gethtmlcolors = lambda: map(genhtml, getrgbs())

在 python 2 中，map()将尝试处理输入可迭代的所有元素。将其更改为使用imap()，一切正常：

gethtmlcolors = lambda: itertools.imap(genhtml, getrgbs())
于 2013-01-14T16:09:50.017 回答