osprey/utils.py
def num_samples(x, is_nested=False):
    """Return number of samples in array-like x."""
    if hasattr(x, 'fit'):
        # Don't get num_samples from an ensembles length!
        raise TypeError('Expected sequence or array-like, got '
                        'estimator %s' % x)

    if is_nested:
        return sum(num_samples(xx, is_nested=False) for xx in x)

    if not hasattr(x, '__len__') and not hasattr(x, 'shape'):
        if hasattr(x, '__array__'):
            x = np.asarray(x)
        else:
            raise TypeError("Expected sequence or array-like, got %s" %
                            type(x))
    if hasattr(x, 'shape'):
        if len(x.shape) == 0:
            raise TypeError("Singleton array %r cannot be considered"
                            " a valid collection." % x)
        return x.shape[0]
    else:
        return len(x)
def num_samples(x, is_nested=False):
    """Return number of samples in array-like x."""
    if hasattr(x, 'fit'):
        # Don't get num_samples from an ensembles length!
        raise TypeError('Expected sequence or array-like, got '
                        'estimator %s' % x)

    if is_nested:
        return sum(num_samples(xx, is_nested=False) for xx in x)

    if not hasattr(x, '__len__') and not hasattr(x, 'shape'):
        if hasattr(x, '__array__'):
            x = np.asarray(x)
        else:
            raise TypeError("Expected sequence or array-like, got %s" %
                            type(x))
    if hasattr(x, 'shape'):
        if len(x.shape) == 0:
            raise TypeError("Singleton array %r cannot be considered"
                            " a valid collection." % x)
        return x.shape[0]
    else:
        return len(x)
def num_samples ( x , is_nested = False ) : if hasattr ( x , 'fit' ) : # Don't get num_samples from an ensembles length! raise TypeError ( 'Expected sequence or array-like, got ' 'estimator %s' % x ) if is_nested : return sum ( num_samples ( xx , is_nested = False ) for xx in x ) if not hasattr ( x , '__len__' ) and not hasattr ( x , 'shape' ) : if hasattr ( x , '__array__' ) : x = np . asarray ( x ) else : raise TypeError ( "Expected sequence or array-like, got %s" % type ( x ) ) if hasattr ( x , 'shape' ) : if len ( x . shape ) == 0 : raise TypeError ( "Singleton array %r cannot be considered" " a valid collection." % x ) return x . shape [ 0 ] else : return len ( x )
Return number of samples in array-like x.
Return number of samples in array - like x .