prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  expand
  
  
  --- 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/manipulation.py`
  Content:
  ```
  1 # global
  2 import ivy
  3 from ivy.functional.frontends.paddle.func_wrapper import (
  4     to_ivy_arrays_and_back,
  5 )
  6 from ivy.func_wrapper import (
  7     with_unsupported_dtypes,
  8     with_supported_dtypes,
  9 )
  10 
  11 
  12 @to_ivy_arrays_and_back
  13 def reshape(x, shape):
  14     return ivy.reshape(x, shape)
  15 
  16 
  17 @with_unsupported_dtypes({"2.5.0 and below": ("float16", "bfloat16")}, "paddle")
  18 @to_ivy_arrays_and_back
  19 def abs(x, name=None):
  20     return ivy.abs(x)
  21 
  22 
  23 absolute = abs
  24 
  25 
  26 @to_ivy_arrays_and_back
  27 def stack(x, axis=0, name=None):
  28     return ivy.stack(x, axis=axis)
  29 
  30 
  31 @with_unsupported_dtypes({"2.5.0 and below": ("int8", "int16")}, "paddle")
  32 @to_ivy_arrays_and_back
  33 def concat(x, axis, name=None):
  34     return ivy.concat(x, axis=axis)
  35 
  36 
  37 @with_unsupported_dtypes(
  38     {"2.5.0 and below": ("int8", "uint8", "int16", "float16")},
  39     "paddle",
  40 )
  41 @to_ivy_arrays_and_back
  42 def tile(x, repeat_times, name=None):
  43     return ivy.tile(x, repeats=repeat_times)
  44 
  45 
  46 @with_unsupported_dtypes(
  47     {"2.5.0 and below": ("int16", "complex64", "complex128")},
  48     "paddle",
  49 )
  50 @to_ivy_arrays_and_back
  51 def split(x, num_or_sections, axis=0, name=None):
  52     return ivy.split(x, num_or_size_splits=num_or_sections, axis=axis)
  53 
  54 
  55 @with_unsupported_dtypes(
  56     {"2.5.0 and below": ("float16", "bfloat16", "int8", "int16")},
  57     "paddle",
  58 )
  59 @to_ivy_arrays_and_back
  60 def squeeze(x, axis=None, name=None):
  61     return ivy.squeeze(x, axis=axis)
  62 
  63 
  64 @with_supported_dtypes(
  65     {
  66         "2.5.0 and below": (
  67             "bool",
  68             "float16",
  69             "float32",
  70             "float64",
  71             "int32",
  72             "int64",
  73             "uint8",
  74         )
  75     },
  76     "paddle",
  77 )
  78 @to_ivy_arrays_and_back
  79 def cast(x, dtype):
  80     return ivy.astype(x, dtype)
  81
  ```
  --- 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/manipulation.py b/ivy/functional/frontends/paddle/tensor/manipulation.py
  --- a/ivy/functional/frontends/paddle/tensor/manipulation.py
  +++ b/ivy/functional/frontends/paddle/tensor/manipulation.py
  @@ -61,6 +61,15 @@
       return ivy.squeeze(x, axis=axis)
   
   
  +@with_supported_dtypes(
  +    {"2.5.0 and below": ("bool", "float32", "float64", "int32", "int64")},
  +    "paddle",
  +)
  +@to_ivy_arrays_and_back
  +def expand(x, shape, name=None):
  +    return ivy.expand(x, shape)
  +
  +
   @with_supported_dtypes(
       {
           "2.5.0 and below": (
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/paddle/tensor/manipulation.py b/ivy/functional/frontends/paddle/tensor/manipulation.py\n--- a/ivy/functional/frontends/paddle/tensor/manipulation.py\n+++ b/ivy/functional/frontends/paddle/tensor/manipulation.py\n@@ -61,6 +61,15 @@\n     return ivy.squeeze(x, axis=axis)\n \n \n+@with_supported_dtypes(\n+    {\"2.5.0 and below\": (\"bool\", \"float32\", \"float64\", \"int32\", \"int64\")},\n+    \"paddle\",\n+)\n+@to_ivy_arrays_and_back\n+def expand(x, shape, name=None):\n+    return ivy.expand(x, shape)\n+\n+\n @with_supported_dtypes(\n     {\n         \"2.5.0 and below\": (\n", "issue": "expand\n\n", "before_files": [{"content": "# global\nimport ivy\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\nfrom ivy.func_wrapper import (\n    with_unsupported_dtypes,\n    with_supported_dtypes,\n)\n\n\n@to_ivy_arrays_and_back\ndef reshape(x, shape):\n    return ivy.reshape(x, shape)\n\n\n@with_unsupported_dtypes({\"2.5.0 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef abs(x, name=None):\n    return ivy.abs(x)\n\n\nabsolute = abs\n\n\n@to_ivy_arrays_and_back\ndef stack(x, axis=0, name=None):\n    return ivy.stack(x, axis=axis)\n\n\n@with_unsupported_dtypes({\"2.5.0 and below\": (\"int8\", \"int16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef concat(x, axis, name=None):\n    return ivy.concat(x, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.0 and below\": (\"int8\", \"uint8\", \"int16\", \"float16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef tile(x, repeat_times, name=None):\n    return ivy.tile(x, repeats=repeat_times)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.0 and below\": (\"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef split(x, num_or_sections, axis=0, name=None):\n    return ivy.split(x, num_or_size_splits=num_or_sections, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.0 and below\": (\"float16\", \"bfloat16\", \"int8\", \"int16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef squeeze(x, axis=None, name=None):\n    return ivy.squeeze(x, axis=axis)\n\n\n@with_supported_dtypes(\n    {\n        \"2.5.0 and below\": (\n            \"bool\",\n            \"float16\",\n            \"float32\",\n            \"float64\",\n            \"int32\",\n            \"int64\",\n            \"uint8\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef cast(x, dtype):\n    return ivy.astype(x, dtype)\n", "path": "ivy/functional/frontends/paddle/tensor/manipulation.py"}], "after_files": [{"content": "# global\nimport ivy\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\nfrom ivy.func_wrapper import (\n    with_unsupported_dtypes,\n    with_supported_dtypes,\n)\n\n\n@to_ivy_arrays_and_back\ndef reshape(x, shape):\n    return ivy.reshape(x, shape)\n\n\n@with_unsupported_dtypes({\"2.5.0 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef abs(x, name=None):\n    return ivy.abs(x)\n\n\nabsolute = abs\n\n\n@to_ivy_arrays_and_back\ndef stack(x, axis=0, name=None):\n    return ivy.stack(x, axis=axis)\n\n\n@with_unsupported_dtypes({\"2.5.0 and below\": (\"int8\", \"int16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef concat(x, axis, name=None):\n    return ivy.concat(x, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.0 and below\": (\"int8\", \"uint8\", \"int16\", \"float16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef tile(x, repeat_times, name=None):\n    return ivy.tile(x, repeats=repeat_times)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.0 and below\": (\"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef split(x, num_or_sections, axis=0, name=None):\n    return ivy.split(x, num_or_size_splits=num_or_sections, axis=axis)\n\n\n@with_unsupported_dtypes(\n    {\"2.5.0 and below\": (\"float16\", \"bfloat16\", \"int8\", \"int16\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef squeeze(x, axis=None, name=None):\n    return ivy.squeeze(x, axis=axis)\n\n\n@with_supported_dtypes(\n    {\"2.5.0 and below\": (\"bool\", \"float32\", \"float64\", \"int32\", \"int64\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef expand(x, shape, name=None):\n    return ivy.expand(x, shape)\n\n\n@with_supported_dtypes(\n    {\n        \"2.5.0 and below\": (\n            \"bool\",\n            \"float16\",\n            \"float32\",\n            \"float64\",\n            \"int32\",\n            \"int64\",\n            \"uint8\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef cast(x, dtype):\n    return ivy.astype(x, dtype)\n", "path": "ivy/functional/frontends/paddle/tensor/manipulation.py"}]}