We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
argsort


--- 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/paddle/tensor/search.py`
Content:
```
1 # global
2 import ivy
3 from ivy.func_wrapper import with_supported_dtypes
4 from ivy.functional.frontends.paddle.func_wrapper import (
5     to_ivy_arrays_and_back,
6 )
7 
8 
9 @with_supported_dtypes(
10     {"2.4.2 and below": ("float32", "float64", "int16", "int32", "int64", "uint8")},
11     "paddle",
12 )
13 @to_ivy_arrays_and_back
14 def argmax(x, /, *, axis=None, keepdim=False, dtype="int64", name=None):
15     return ivy.argmax(x, axis=axis, keepdims=keepdim, dtype=dtype)
16 
17 
18 @with_supported_dtypes(
19     {"2.4.2 and below": ("float32", "float64", "int16", "int32", "int64", "uint8")},
20     "paddle",
21 )
22 @to_ivy_arrays_and_back
23 def argmin(x, /, *, axis=None, keepdim=False, dtype="int64", name=None):
24     return ivy.argmin(x, axis=axis, keepdims=keepdim, dtype=dtype)
25
```
--- 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/paddle/tensor/search.py b/ivy/functional/frontends/paddle/tensor/search.py
--- a/ivy/functional/frontends/paddle/tensor/search.py
+++ b/ivy/functional/frontends/paddle/tensor/search.py
@@ -22,3 +22,12 @@
 @to_ivy_arrays_and_back
 def argmin(x, /, *, axis=None, keepdim=False, dtype="int64", name=None):
     return ivy.argmin(x, axis=axis, keepdims=keepdim, dtype=dtype)
+
+
+@with_supported_dtypes(
+    {"2.4.2 and below": ("float32", "float64", "int16", "int32", "int64", "uint8")},
+    "paddle",
+)
+@to_ivy_arrays_and_back
+def argsort(x, /, *, axis=-1, descending=False, name=None):
+    return ivy.argsort(x, axis=axis, descending=descending)

{"golden_diff": "diff --git a/ivy/functional/frontends/paddle/tensor/search.py b/ivy/functional/frontends/paddle/tensor/search.py\n--- a/ivy/functional/frontends/paddle/tensor/search.py\n+++ b/ivy/functional/frontends/paddle/tensor/search.py\n@@ -22,3 +22,12 @@\n @to_ivy_arrays_and_back\n def argmin(x, /, *, axis=None, keepdim=False, dtype=\"int64\", name=None):\n     return ivy.argmin(x, axis=axis, keepdims=keepdim, dtype=dtype)\n+\n+\n+@with_supported_dtypes(\n+    {\"2.4.2 and below\": (\"float32\", \"float64\", \"int16\", \"int32\", \"int64\", \"uint8\")},\n+    \"paddle\",\n+)\n+@to_ivy_arrays_and_back\n+def argsort(x, /, *, axis=-1, descending=False, name=None):\n+    return ivy.argsort(x, axis=axis, descending=descending)\n", "issue": "argsort\n\n", "before_files": [{"content": "# global\nimport ivy\nfrom ivy.func_wrapper import with_supported_dtypes\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n@with_supported_dtypes(\n    {\"2.4.2 and below\": (\"float32\", \"float64\", \"int16\", \"int32\", \"int64\", \"uint8\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef argmax(x, /, *, axis=None, keepdim=False, dtype=\"int64\", name=None):\n    return ivy.argmax(x, axis=axis, keepdims=keepdim, dtype=dtype)\n\n\n@with_supported_dtypes(\n    {\"2.4.2 and below\": (\"float32\", \"float64\", \"int16\", \"int32\", \"int64\", \"uint8\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef argmin(x, /, *, axis=None, keepdim=False, dtype=\"int64\", name=None):\n    return ivy.argmin(x, axis=axis, keepdims=keepdim, dtype=dtype)\n", "path": "ivy/functional/frontends/paddle/tensor/search.py"}], "after_files": [{"content": "# global\nimport ivy\nfrom ivy.func_wrapper import with_supported_dtypes\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n@with_supported_dtypes(\n    {\"2.4.2 and below\": (\"float32\", \"float64\", \"int16\", \"int32\", \"int64\", \"uint8\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef argmax(x, /, *, axis=None, keepdim=False, dtype=\"int64\", name=None):\n    return ivy.argmax(x, axis=axis, keepdims=keepdim, dtype=dtype)\n\n\n@with_supported_dtypes(\n    {\"2.4.2 and below\": (\"float32\", \"float64\", \"int16\", \"int32\", \"int64\", \"uint8\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef argmin(x, /, *, axis=None, keepdim=False, dtype=\"int64\", name=None):\n    return ivy.argmin(x, axis=axis, keepdims=keepdim, dtype=dtype)\n\n\n@with_supported_dtypes(\n    {\"2.4.2 and below\": (\"float32\", \"float64\", \"int16\", \"int32\", \"int64\", \"uint8\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef argsort(x, /, *, axis=-1, descending=False, name=None):\n    return ivy.argsort(x, axis=axis, descending=descending)\n", "path": "ivy/functional/frontends/paddle/tensor/search.py"}]}