def check_consistent_length(*arrays):
    """Check that all arrays have consistent first dimensions.

    Checks whether all objects in arrays have the same shape or length.

    Parameters
    ----------
    arrays : list or tuple of input objects.
        Objects that will be checked for consistent length.
    """

    uniques = np.unique([_num_samples(X) for X in arrays if X is not None])
    if len(uniques) > 1:
        raise ValueError("Found arrays with inconsistent numbers of samples: %s"
                         % str(uniques))
def check_consistent_length(*arrays):
    """Check that all arrays have consistent first dimensions.

    Checks whether all objects in arrays have the same shape or length.

    Parameters
    ----------
    arrays : list or tuple of input objects.
        Objects that will be checked for consistent length.
    """

    uniques = np.unique([_num_samples(X) for X in arrays if X is not None])
    if len(uniques) > 1:
        raise ValueError("Found arrays with inconsistent numbers of samples: %s"
                         % str(uniques))
def check_consistent_length ( * arrays ) : uniques = np . unique ( [ _num_samples ( X ) for X in arrays if X is not None ] ) if len ( uniques ) > 1 : raise ValueError ( "Found arrays with inconsistent numbers of samples: %s" % str ( uniques ) )
Check that all arrays have consistent first dimensions.

    Checks whether all objects in arrays have the same shape or length.

    Parameters
    ----------
    arrays : list or tuple of input objects.
        Objects that will be checked for consistent length.
Check that all arrays have consistent first dimensions .