prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Sort
  
  
  --- 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     {"2.5.0 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     {"2.5.0 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 
  26 
  27 @with_supported_dtypes(
  28     {"2.4.2 and below": ("float32", "float64", "int16", "int32", "int64", "uint8")},
  29     "paddle",
  30 )
  31 @to_ivy_arrays_and_back
  32 def argsort(x, /, *, axis=-1, descending=False, name=None):
  33     return ivy.argsort(x, axis=axis, descending=descending)
  34 
  35 
  36 @with_supported_dtypes(
  37     {"2.4.2 and below": ("float32", "float64", "int16", "int32", "int64", "uint8")},
  38     "paddle",
  39 )
  40 @to_ivy_arrays_and_back
  41 def nonzero(input, /, *, as_tuple=False):
  42     ret = ivy.nonzero(input)
  43     if as_tuple is False:
  44         ret = ivy.matrix_transpose(ivy.stack(ret))
  45     return ret
  46 
  47 
  48 @with_supported_dtypes(
  49     {"2.5.0 and below": ("float32", "float64", "int32", "int64")},
  50     "paddle",
  51 )
  52 @to_ivy_arrays_and_back
  53 def searchsorted(sorted_sequence, values, out_int32=False, right=False, name=None):
  54     if right:
  55         side = "right"
  56     else:
  57         side = "left"
  58     ret = ivy.searchsorted(sorted_sequence, values, side=side)
  59     if out_int32:
  60         ret = ivy.astype(ret, "int32")
  61     return ret
  62
  ```
  --- 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()
  
  ```
  
golden_diff: 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
  @@ -33,6 +33,15 @@
       return ivy.argsort(x, axis=axis, descending=descending)
   
   
  +@with_supported_dtypes(
  +    {"2.5.0 and below": ("float32", "float64", "int32", "int64")},
  +    "paddle",
  +)
  +@to_ivy_arrays_and_back
  +def sort(x, /, *, axis=-1, descending=False, name=None):
  +    return ivy.sort(x, axis=axis, descending=descending)
  +
  +
   @with_supported_dtypes(
       {"2.4.2 and below": ("float32", "float64", "int16", "int32", "int64", "uint8")},
       "paddle",
  
verification_info: {"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@@ -33,6 +33,15 @@\n     return ivy.argsort(x, axis=axis, descending=descending)\n \n \n+@with_supported_dtypes(\n+    {\"2.5.0 and below\": (\"float32\", \"float64\", \"int32\", \"int64\")},\n+    \"paddle\",\n+)\n+@to_ivy_arrays_and_back\n+def sort(x, /, *, axis=-1, descending=False, name=None):\n+    return ivy.sort(x, axis=axis, descending=descending)\n+\n+\n @with_supported_dtypes(\n     {\"2.4.2 and below\": (\"float32\", \"float64\", \"int16\", \"int32\", \"int64\", \"uint8\")},\n     \"paddle\",\n", "issue": "Sort\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    {\"2.5.0 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    {\"2.5.0 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\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 nonzero(input, /, *, as_tuple=False):\n    ret = ivy.nonzero(input)\n    if as_tuple is False:\n        ret = ivy.matrix_transpose(ivy.stack(ret))\n    return ret\n\n\n@with_supported_dtypes(\n    {\"2.5.0 and below\": (\"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef searchsorted(sorted_sequence, values, out_int32=False, right=False, name=None):\n    if right:\n        side = \"right\"\n    else:\n        side = \"left\"\n    ret = ivy.searchsorted(sorted_sequence, values, side=side)\n    if out_int32:\n        ret = ivy.astype(ret, \"int32\")\n    return ret\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    {\"2.5.0 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    {\"2.5.0 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\n\n@with_supported_dtypes(\n    {\"2.5.0 and below\": (\"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef sort(x, /, *, axis=-1, descending=False, name=None):\n    return ivy.sort(x, axis=axis, descending=descending)\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 nonzero(input, /, *, as_tuple=False):\n    ret = ivy.nonzero(input)\n    if as_tuple is False:\n        ret = ivy.matrix_transpose(ivy.stack(ret))\n    return ret\n\n\n@with_supported_dtypes(\n    {\"2.5.0 and below\": (\"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef searchsorted(sorted_sequence, values, out_int32=False, right=False, name=None):\n    if right:\n        side = \"right\"\n    else:\n        side = \"left\"\n    ret = ivy.searchsorted(sorted_sequence, values, side=side)\n    if out_int32:\n        ret = ivy.astype(ret, \"int32\")\n    return ret\n", "path": "ivy/functional/frontends/paddle/tensor/search.py"}]}