import dpnp as np
np.__version__
# Out: '0.21.0dev1+27.gfdb1c53d735.dirty'
x = np.array([3])
np.repeat(x, [[4]])
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[20], line 1
----> 1 np.repeat(x, [[4]])
File ~/code/dpnp/dpnp/dpnp_iface_manipulation.py:2841, in repeat(a, repeats, axis)
2838 a = dpnp.ravel(a)
2840 usm_arr = dpnp.get_usm_ndarray(a)
-> 2841 usm_res = dpt.repeat(usm_arr, repeats, axis=axis)
2842 return dpnp_array._create_from_usm_ndarray(usm_res)
File ~/code/dpnp/dpnp/tensor/_manipulation_functions.py:631, in repeat(x, repeats, axis)
629 if len_reps == 1:
630 repeats = repeats[0]
--> 631 if repeats < 0:
632 raise ValueError("`repeats` elements must be positive")
633 scalar = True
TypeError: '<' not supported between instances of 'list' and 'int'
while NumPy raising more explicit exception:
np.__version__
# Out: '2.5.0'
np.repeat(x, [[4]])
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[24], line 1
----> 1 np.repeat(x, [[4]])
File ~/.local/share/mamba/envs/dpnp_dev/lib/python3.13/site-packages/numpy/_core/fromnumeric.py:481, in repeat(a, repeats, axis)
437 @array_function_dispatch(_repeat_dispatcher)
438 def repeat(a, repeats, axis=None):
439 """
440 Repeat each element of an array after themselves
441
(...) 479
480 """
--> 481 return _wrapfunc(a, 'repeat', repeats, axis=axis)
File ~/.local/share/mamba/envs/dpnp_dev/lib/python3.13/site-packages/numpy/_core/fromnumeric.py:54, in _wrapfunc(obj, method, *args, **kwds)
51 return _wrapit(obj, method, *args, **kwds)
53 try:
---> 54 return bound(*args, **kwds)
55 except TypeError:
56 # A TypeError occurs if the object does have such a method in its
57 # class, but its signature is not identical to that of NumPy's. This
(...) 61 # Call _wrapit from within the except clause to ensure a potential
62 # exception has a traceback chain.
63 return _wrapit(obj, method, *args, **kwds)
ValueError: setting an array element with a sequence. The requested array would exceed the maximum number of dimension of 1.
while NumPy raising more explicit exception: