feat: implemented ifftshift and corresponding test

ivy/functional/frontends/jax/numpy/fft.py

@@ -78,6 +78,30 @@ def ifftn(a, s=None, axes=None, norm=None):
     return a
 
 
+@to_ivy_arrays_and_back
+def ifftshift(x, axes=None):
+    if not ivy.is_array(x):
+        raise ValueError("Input 'x' must be an array")
+
+    # Get the shape of x
+    shape = ivy.shape(x)
+
+    # If axes is None, shift all axes
+    if axes is None:
+        axes = tuple(range(x.ndim))
+
+    # Convert axes to a list if it's not already
+    axes = [axes] if isinstance(axes, int) else list(axes)
+
+    # Perform the shift for each axis
+    for axis in axes:
+        axis_size = shape[axis]
+        shift = -ivy.floor(axis_size / 2).astype(ivy.int32)
+        result = ivy.roll(x, shift, axis=axis)
+
+    return result
+
+
 @to_ivy_arrays_and_back
 @with_unsupported_dtypes({"1.25.2 and below": ("float16", "bfloat16")}, "numpy")
 def rfft(a, n=None, axis=-1, norm=None):

ivy_tests/test_ivy/test_frontends/test_jax/test_numpy/test_fft.py

@@ -271,6 +271,43 @@ def test_jax_numpy_ifftn(
     )
 
 
+# ifftshift
+@handle_frontend_test(
+    fn_tree="jax.numpy.fft.ifftshift",
+    dtype_values_axis=helpers.dtype_values_axis(
+        available_dtypes=helpers.get_dtypes("valid"),
+        num_arrays=1,
+        min_value=-1e5,
+        max_value=1e5,
+        min_num_dims=1,
+        max_num_dims=5,
+        min_dim_size=1,
+        max_dim_size=5,
+        allow_inf=False,
+        large_abs_safety_factor=2.5,
+        small_abs_safety_factor=2.5,
+        safety_factor_scale="log",
+        valid_axis=True,
+        force_int_axis=True,
+    ),
+)
+def test_jax_numpy_ifftshift(
+    dtype_values_axis, backend_fw, frontend, test_flags, fn_tree, on_device
+):
+    dtype, values, axis = dtype_values_axis
+    helpers.test_frontend_function(
+        input_dtypes=dtype,
+        frontend=frontend,
+        backend_to_test=backend_fw,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        test_values=True,
+        x=values[0],
+        axes=axis,
+    )
+
+
 # rfft
 @handle_frontend_test(
     fn_tree="jax.numpy.fft.rfft",