Function _block

numpy/_core/shape_base.py:748–764

Internal implementation of block based on repeated concatenation. `arrays` is the argument passed to block. `max_depth` is the depth of nested lists within `arrays` and `result_ndim` is the greatest of the dimensions of the arrays in `arrays` and the depth of the lists in `array

(arrays, max_depth, result_ndim, depth=0)

def _block(arrays, max_depth, result_ndim, depth=0):
    """
    Internal implementation of block based on repeated concatenation.
    `arrays` is the argument passed to
    block. `max_depth` is the depth of nested lists within `arrays` and
    `result_ndim` is the greatest of the dimensions of the arrays in
    `arrays` and the depth of the lists in `arrays` (see block docstring
    for details).
    """
    if depth < max_depth:
        arrs = [_block(arr, max_depth, result_ndim, depth + 1)
                for arr in arrays]
        return _concatenate(arrs, axis=-(max_depth - depth))
    else:
        # We've 'bottomed out' - arrays is either a scalar or an array
        # type(arrays) is not list
        return _atleast_nd(arrays, result_ndim)


def _block_dispatcher(arrays):