We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
fftshift
This subtask is to add the `fftshift` function to the Jax frontend

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `ivy/functional/frontends/jax/numpy/fft.py`
Content:
```
1 # local
2 import ivy
3 from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back
4 
5 
6 @to_ivy_arrays_and_back
7 def fft(a, n=None, axis=-1, norm=None):
8     if norm is None:
9         norm = "backward"
10     return ivy.fft(a, axis, norm=norm, n=n)
11
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/ivy/functional/frontends/jax/numpy/fft.py b/ivy/functional/frontends/jax/numpy/fft.py
--- a/ivy/functional/frontends/jax/numpy/fft.py
+++ b/ivy/functional/frontends/jax/numpy/fft.py
@@ -1,6 +1,25 @@
 # local
 import ivy
 from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back
+from ivy.func_wrapper import with_unsupported_dtypes
+
+
+@to_ivy_arrays_and_back
+@with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
+def fftshift(x, axes=None, name=None):
+    shape = x.shape
+
+    if axes is None:
+        axes = tuple(range(x.ndim))
+        shifts = [(dim // 2) for dim in shape]
+    elif isinstance(axes, int):
+        shifts = shape[axes] // 2
+    else:
+        shifts = [shape[ax] // 2 for ax in axes]
+
+    roll = ivy.roll(x, shifts, axis=axes)
+
+    return roll
 
 
 @to_ivy_arrays_and_back

{"golden_diff": "diff --git a/ivy/functional/frontends/jax/numpy/fft.py b/ivy/functional/frontends/jax/numpy/fft.py\n--- a/ivy/functional/frontends/jax/numpy/fft.py\n+++ b/ivy/functional/frontends/jax/numpy/fft.py\n@@ -1,6 +1,25 @@\n # local\n import ivy\n from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back\n+from ivy.func_wrapper import with_unsupported_dtypes\n+\n+\n+@to_ivy_arrays_and_back\n+@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n+def fftshift(x, axes=None, name=None):\n+    shape = x.shape\n+\n+    if axes is None:\n+        axes = tuple(range(x.ndim))\n+        shifts = [(dim // 2) for dim in shape]\n+    elif isinstance(axes, int):\n+        shifts = shape[axes] // 2\n+    else:\n+        shifts = [shape[ax] // 2 for ax in axes]\n+\n+    roll = ivy.roll(x, shifts, axis=axes)\n+\n+    return roll\n \n \n @to_ivy_arrays_and_back\n", "issue": "fftshift\nThis subtask is to add the `fftshift` function to the Jax frontend\n", "before_files": [{"content": "# local\nimport ivy\nfrom ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back\n\n\n@to_ivy_arrays_and_back\ndef fft(a, n=None, axis=-1, norm=None):\n    if norm is None:\n        norm = \"backward\"\n    return ivy.fft(a, axis, norm=norm, n=n)\n", "path": "ivy/functional/frontends/jax/numpy/fft.py"}], "after_files": [{"content": "# local\nimport ivy\nfrom ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back\nfrom ivy.func_wrapper import with_unsupported_dtypes\n\n\n@to_ivy_arrays_and_back\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\ndef fftshift(x, axes=None, name=None):\n    shape = x.shape\n\n    if axes is None:\n        axes = tuple(range(x.ndim))\n        shifts = [(dim // 2) for dim in shape]\n    elif isinstance(axes, int):\n        shifts = shape[axes] // 2\n    else:\n        shifts = [shape[ax] // 2 for ax in axes]\n\n    roll = ivy.roll(x, shifts, axis=axes)\n\n    return roll\n\n\n@to_ivy_arrays_and_back\ndef fft(a, n=None, axis=-1, norm=None):\n    if norm is None:\n        norm = \"backward\"\n    return ivy.fft(a, axis, norm=norm, n=n)\n", "path": "ivy/functional/frontends/jax/numpy/fft.py"}]}