STD

[tasneemahmed912]

close https://github.com/unifyai/ivy/issues/17839

[ivy-leaves]

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Thank you :hugs:

[HaiderSultanArc]

# std
@handle_frontend_method(
    class_tree=CLASS_TREE,
    init_tree="paddle.to_tensor",
    method_name="std",
    dtypes_and_x=helpers.dtype_and_values(
        available_dtypes=st.one_of(helpers.get_dtypes("float")),
        min_axis=-1,
        max_axis=0,
    ),
    keep_dims=st.booleans(),
    unbiased=st.booleans(),
)
def test_paddle_std(
    dtype_x_axis,
    keep_dims,
    frontend_method_data,
    init_flags,
    method_flags,
    frontend,
    on_device,
):
    input_dtypes, x, axis = dtype_x_axis
    helpers.test_frontend_method(
        init_input_dtypes=input_dtypes,
        init_all_as_kwargs_np={
            "object": x[0],
        },
        method_input_dtypes=input_dtypes,
        method_all_as_kwargs_np={
            "axis": axis,
            "keepdim": keep_dims,
        },
        frontend_method_data=frontend_method_data,
        init_flags=init_flags,
        method_flags=method_flags,
        frontend=frontend,
        on_device=on_device,
    )


# imag
@handle_frontend_method(
    class_tree=CLASS_TREE,
    init_tree="paddle.to_tensor",
    method_name="imag",
    dtype_and_x=helpers.dtype_and_values(
        available_dtypes=helpers.get_dtypes("valid"),
    ),
)
def test_paddle_imag(
    dtype_and_x,
    frontend_method_data,
    init_flags,
    method_flags,
    frontend,
    on_device,
):
    input_dtype, x = dtype_and_x
    helpers.test_frontend_method(
        init_input_dtypes=input_dtype,
        init_all_as_kwargs_np={
            "data": x[0],
        },
        method_input_dtypes=input_dtype,
        method_all_as_kwargs_np={},
        frontend_method_data=frontend_method_data,
        init_flags=init_flags,
        method_flags=method_flags,
        frontend=frontend,
        on_device=on_device,
    )


# is_tensor
@handle_frontend_method(
    class_tree=CLASS_TREE,
    init_tree="paddle.to_tensor",
    method_name="is_tensor",
    dtype_and_x=helpers.dtype_and_values(
        available_dtypes=helpers.get_dtypes("float"),
        num_arrays=1,
    ),
)
def test_paddle_is_tensor(
    dtype_and_x,
    frontend_method_data,
    init_flags,
    method_flags,
    frontend,
    on_device,
):
    input_dtype, x = dtype_and_x
    helpers.test_frontend_method(
        init_input_dtypes=input_dtype,
        init_all_as_kwargs_np={
            "data": x[0],
        },
        method_input_dtypes=input_dtype,
        method_all_as_kwargs_np={},
        frontend_method_data=frontend_method_data,
        init_flags=init_flags,
        method_flags=method_flags,
        frontend=frontend,
        on_device=on_device,
    )

Replace the conflicting code in the test_paddle_tensor.py file with this.

[tasneemahmed912]

@mobley-trent can you review this pull request