human
I wrote the below code

    arrays = concrete(arrays)
    if (not arrays):
        return np.empty(0)
    advanced = max(core.flatten(arrays, container=(list, tuple)), key=(lambda x: getattr(x, '__array_priority__', 0)))
    module = (package_of(type(advanced)) or np)
    if ((module is not np) and hasattr(module, 'concatenate')):
        x = unpack_singleton(arrays)
        return _concatenate2(arrays, axes=list(range(x.ndim)))
    ndim = ndimlist(arrays)
    if (not ndim):
        return arrays
    chunks = chunks_from_arrays(arrays)
    shape = tuple(map(sum, chunks))
    def dtype(x):
        try:
            return x.dtype
        except AttributeError:
            return type(x)
    result = np.empty(shape=shape, dtype=dtype(deepfirst(arrays)))
    for (idx, arr) in zip(slices_from_chunks(chunks), core.flatten(arrays)):
        if hasattr(arr, 'ndim'):
            while (arr.ndim < ndim):
                arr = arr[None, ...]
        result[idx] = arr
    return result

What's a good function header?

=====
Here's a good function header?
assistant
#Here's a good function header.

def concatenate3(arrays):