Adding jax.numpy.histogram

[marwanWaly]

Close #19652

the requested changes as #21188 are done

[github-actions]

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[zaeemansari70]

Your function seems to be failing for the following, I have provided the falsifying example below:

E       AssertionError: The length of results from backend numpy and ground truth framework jax does not match
E       
E       len(ret_np_flat) != len(ret_np_from_gt_flat):
E       
E       ret_np_flat:
E       
E       [array([0.], dtype=float32)]
E       
E       ret_np_from_gt_flat:
E       
E       [array([0.], dtype=float32), array([0., 1.], dtype=float32)]
E       Falsifying example: test_jax_histogram(
E           on_device='cpu',
E           frontend='jax',
E           backend_fw='numpy',
E           values=(array([-1., -1.], dtype=float32),
E            array([0., 1.], dtype=float32),
E            0,
E            True,
E            False,
E            'float32',
E            None,
E            array([-1., -1.], dtype=float32),
E            False,
E            'float32'),
E           test_flags=FrontendFunctionTestFlags(
E               num_positional_args=0,
E               with_out=False,
E               inplace=False,
E               as_variable=[False],
E               native_arrays=[False],
E               generate_frontend_arrays=False,
E           ),
E           fn_tree='ivy.functional.frontends.jax.numpy.histogram',
E       )
E       
E       You can reproduce this example by temporarily adding @reproduce_failure('6.82.4', b'AXicY2BgZMAOGKESMHlGItkwAAACQQAM') as a decorator on your test case

Kinldy look into this, thanks! 🙂

[zaeemansari70]

Don't need to add a typehint here.

[zaeemansari70]

Closing due to inactivity