Python itertools.html方法代码示例

# 需要导入模块: import itertools [as 别名]
# 或者: from itertools import html [as 别名]
def unique_everseen(iterable, key=None):
    "List unique elements, preserving order. Remember all elements ever seen."
    # unique_everseen('AAAABBBCCDAABBB') --> A B C D
    # unique_everseen('ABBCcAD', str.lower) --> A B C D
    # straight from the docs, https://docs.python.org/3/library/itertools.html#itertools-recipes
    seen = set()
    seen_add = seen.add
    if key is None:
        for element in itertools.filterfalse(seen.__contains__, iterable):
            seen_add(element)
            yield element
    else:
        for element in iterable:
            k = key(element)
            if k not in seen:
                seen_add(k)
                yield element 

# 需要导入模块: import itertools [as 别名]
# 或者: from itertools import html [as 别名]
def sublists(lst, min_elmts=0, max_elmts=None):
    """Build a list of all possible sublists of a given list. Restrictions
    on the length of the sublists can be posed via the min_elmts and max_elmts
    parameters.
    All sublists
    have will have at least min_elmts elements and not more than max_elmts
    elements.

    Parameters
    ----------
    lst : list
        Original list from which sublists are generated.
    min_elmts : int
        Lower bound for the length of sublists.
    max_elmts : int or None
        If int, then max_elmts are the upper bound for the length of sublists.
        If None, sublists' length is not restricted. In this case the longest
        sublist will be of the same length as the original list lst.

    Returns
    -------
    result : list
        A list of all sublists of lst fulfilling the length restrictions.
    """
    if max_elmts is None:
        max_elmts = len(lst)
    # for the following see also the definition of powerset() in
    # https://docs.python.org/dev/library/itertools.html#itertools-recipes
    result = itertools.chain.from_iterable(
                itertools.combinations(lst, sublist_len)
                for sublist_len in range(min_elmts, max_elmts+1))
    if type(result) != list:
        result = list(result)
    return result 

# 需要导入模块: import itertools [as 别名]
# 或者: from itertools import html [as 别名]
def split_by(array: List[Any], group_size: int, filler: Any) -> List[List[Any]]:
    """
    Group elements into list of size `group_size` and fill empty cells with
    `filler`. Recipe from https://docs.python.org/3/library/itertools.html
    """
    args = [iter(array)] * group_size
    return list(map(list, zip_longest(*args, fillvalue=filler))) 

# 需要导入模块: import itertools [as 别名]
# 或者: from itertools import html [as 别名]
def all_equal(iterable):
    """Returns True if all the elements are equal to each other

    https://docs.python.org/3/library/itertools.html#itertools-recipes
    """
    g = itertools.groupby(iterable)
    return next(g, True) and not next(g, False) 

# 需要导入模块: import itertools [as 别名]
# 或者: from itertools import html [as 别名]
def morph(model, zs, n_per_morph=10, loop=True, save=True, name="morph", outdir="."):
    """Plot frames of morph between zs (np.array of 2+ latent points)"""
    assert len(zs) > 1, "Must specify at least two latent pts for morph!"
    dim = int(model.architecture[0]**0.5) # assume square images

    def pairwise(iterable):
        """s -> (s0,s1), (s1,s2), (s2, s3), ..."""
        # via https://docs.python.org/dev/library/itertools.html
        a, b = itertools.tee(iterable)
        next(b, None)
        return zip(a, b)

    if loop:
        zs = np.append(zs, zs[:1], 0)

    all_xs = []
    for z1, z2 in pairwise(zs):
        zs_morph = np.array([np.linspace(start, end, n_per_morph)
                             # interpolate across every z dimension
                             for start, end in zip(z1, z2)]).T
        xs_reconstructed = model.decode(zs_morph)
        all_xs.extend(xs_reconstructed)

    for i, x in enumerate(all_xs):
        plt.figure(figsize = (5, 5))
        plt.imshow(x.reshape([dim, dim]), cmap="Greys")

        # axes off
        ax = plt.gca()
        ax.set_frame_on(False)
        ax.set_xticks([])
        ax.set_yticks([])
        plt.axis("off")

        # plt.show()
        if save:
            title = "{}_latent_{}_round_{}_{}.{}.png".format(
                model.datetime, "_".join(map(str, model.architecture)),
                model.step, name, i)
            plt.savefig(os.path.join(outdir, title), bbox_inches="tight") 

# 需要导入模块: import itertools [as 别名]
# 或者: from itertools import html [as 别名]
def pairwise(iterable):
    # //docs.python.org/dev/library/itertools.html#recipes
    a, b = itertools.tee(iterable)
    next(b, None)
    return zip(a, b) 

# 需要导入模块: import itertools [as 别名]
# 或者: from itertools import html [as 别名]
def product(*args, **kwds):
    """
    Taken from http://docs.python.org/library/itertools.html#itertools.product
    """
    # product('ABCD', 'xy') --> Ax Ay Bx By Cx Cy Dx Dy
    # product(range(2), repeat=3) --> 000 001 010 011 100 101 110 111
    pools = map(tuple, args) * kwds.get('repeat', 1)
    result = [[]]
    for pool in pools:
        result = [x+[y] for x in result for y in pool]
    for prod in result:
        yield tuple(prod) 

# 需要导入模块: import itertools [as 别名]
# 或者: from itertools import html [as 别名]
def unique_everseen(iterable, filterfalse_=itertools.filterfalse):
    """Unique elements, preserving order."""
    # Itertools recipes:
    # https://docs.python.org/3/library/itertools.html#itertools-recipes
    seen = set()
    seen_add = seen.add
    for element in filterfalse_(seen.__contains__, iterable):
        seen_add(element)
        yield element 

# 需要导入模块: import itertools [as 别名]
# 或者: from itertools import html [as 别名]
def powerset(iterable):
    """Returns the powerset of the iterable.

    See https://docs.python.org/3.6/library/itertools.html#itertools-recipes

    powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,2,3)

    Args:
        iterable: An iterable to create the powerset.
    """
    return itertools.chain.from_iterable(
        itertools.combinations(iterable, r) for r in range(len(iterable)+1)
    )