def list_reshape(list_, new_shape, trail=False):
    r"""
    reshapes leaving trailing dimnsions in front if prod(new_shape) != len(list_)

    Args:
        list_ (list):
        new_shape (tuple):

    Returns:
        list: list_

    CommandLine:
        python -m utool.util_list --exec-list_reshape --show

    Example:
        >>> # ENABLE_DOCTEST
        >>> from utool.util_list import *  # NOQA
        >>> import utool as ut
        >>> import numpy as np
        >>> list_ = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
        >>> new_shape = (2, 2, 3)
        >>> newlist = list_reshape(list_, new_shape)
        >>> depth = ut.depth_profile(newlist)
        >>> result = ('list_ = %s' % (ut.repr2(newlist, nl=1),))
        >>> print('depth = %r' % (depth,))
        >>> print(result)
        >>> newlist2 = np.reshape(list_, depth).tolist()
        >>> ut.assert_eq(newlist, newlist2)
    """
    if not trail:
        total = reduce(operator.mul, new_shape)
        assert total == len(list_)
    newlist = list_
    for dim in reversed(new_shape):
        slice_ = (newlist[i::dim] for i in range(dim))
        newlist = list(map(list, zip(*slice_)))
    if not trail:
        newlist = newlist[0]
    return newlist
def list_reshape ( list_ , new_shape , trail = False ) : if not trail : total = reduce ( operator . mul , new_shape ) assert total == len ( list_ ) newlist = list_ for dim in reversed ( new_shape ) : slice_ = ( newlist [ i : : dim ] for i in range ( dim ) ) newlist = list ( map ( list , zip ( * slice_ ) ) ) if not trail : newlist = newlist [ 0 ] return newlist
r"""
    reshapes leaving trailing dimnsions in front if prod(new_shape) != len(list_)

    Args:
        list_ (list):
        new_shape (tuple):

    Returns:
        list: list_

    CommandLine:
        python -m utool.util_list --exec-list_reshape --show

    Example:
        >>> # ENABLE_DOCTEST
        >>> from utool.util_list import *  # NOQA
        >>> import utool as ut
        >>> import numpy as np
        >>> list_ = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
        >>> new_shape = (2, 2, 3)
        >>> newlist = list_reshape(list_, new_shape)
        >>> depth = ut.depth_profile(newlist)
        >>> result = ('list_ = %s' % (ut.repr2(newlist, nl=1),))
        >>> print('depth = %r' % (depth,))
        >>> print(result)
        >>> newlist2 = np.reshape(list_, depth).tolist()
        >>> ut.assert_eq(newlist, newlist2)