BUG: `dask.array.clip` fails with missing attribute `broadcast_shapes`

[lucascolley]

In [2]: from scipy._lib.array_api_compat.dask.array import clip

In [3]: import dask.array as da

In [4]: clip(da.asarray(0), max=7)
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[4], line 1
----> 1 clip(da.asarray(0), max=7)

File ~/dev/pixi-dev-scipystack/scipy/scipy/build-install/lib/python3.12/site-packages/scipy/_lib/array_api_compat/_internal.py:28, in get_xp.<locals>.inner.<locals>.wrapped_f(*args, **kwargs)
     26 @wraps(f)
     27 def wrapped_f(*args, **kwargs):
---> 28     return f(*args, xp=xp, **kwargs)

File ~/dev/pixi-dev-scipystack/scipy/scipy/build-install/lib/python3.12/site-packages/scipy/_lib/array_api_compat/common/_aliases.py:284, in clip(x, min, max, xp, out)
    282 min_shape = () if _isscalar(min) else min.shape
    283 max_shape = () if _isscalar(max) else max.shape
--> 284 result_shape = xp.broadcast_shapes(x.shape, min_shape, max_shape)
    286 wrapped_xp = array_namespace(x)
    288 # np.clip does type promotion but the array API clip requires that the
    289 # output have the same dtype as x. We do this instead of just downcasting
    290 # the result of xp.clip() to handle some corner cases better (e.g.,
   (...)
    306 # At least handle the case of Python integers correctly (see
    307 # https://github.com/numpy/numpy/pull/26892).

AttributeError: module 'dask.array' has no attribute 'broadcast_shapes'