prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  rad2deg
  
  
  --- 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/math.py`
  Content:
  ```
  1 # global
  2 import ivy
  3 from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  4 from ivy.functional.frontends.paddle.func_wrapper import (
  5     to_ivy_arrays_and_back,
  6 )
  7 
  8 
  9 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  10 @to_ivy_arrays_and_back
  11 def sin(x, name=None):
  12     return ivy.sin(x)
  13 
  14 
  15 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  16 @to_ivy_arrays_and_back
  17 def cos(x, name=None):
  18     return ivy.cos(x)
  19 
  20 
  21 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  22 @to_ivy_arrays_and_back
  23 def acos(x, name=None):
  24     return ivy.acos(x)
  25 
  26 
  27 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  28 @to_ivy_arrays_and_back
  29 def cosh(x, name=None):
  30     return ivy.cosh(x)
  31 
  32 
  33 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  34 @to_ivy_arrays_and_back
  35 def tanh(x, name=None):
  36     return ivy.tanh(x)
  37 
  38 
  39 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  40 @to_ivy_arrays_and_back
  41 def acosh(x, name=None):
  42     return ivy.acosh(x)
  43 
  44 
  45 @with_supported_dtypes({"2.4.2 and below": ("float32", "float64")}, "paddle")
  46 @to_ivy_arrays_and_back
  47 def asin(x, name=None):
  48     return ivy.asin(x)
  49 
  50 
  51 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  52 @to_ivy_arrays_and_back
  53 def log(x, name=None):
  54     return ivy.log(x)
  55 
  56 
  57 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  58 @to_ivy_arrays_and_back
  59 def divide(x, y, name=None):
  60     return ivy.divide(x, y)
  61 
  62 
  63 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  64 @to_ivy_arrays_and_back
  65 def abs(x, name=None):
  66     return ivy.abs(x)
  67 
  68 
  69 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  70 @to_ivy_arrays_and_back
  71 def multiply(x, y, name=None):
  72     return ivy.multiply(x, y)
  73 
  74 
  75 @with_unsupported_dtypes(
  76     {"2.4.2 and below": ("bool", "unsigned", "int8", "float16", "bfloat16")}, "paddle"
  77 )
  78 @to_ivy_arrays_and_back
  79 def add(x, y, name=None):
  80     return ivy.add(x, y)
  81 
  82 
  83 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  84 @to_ivy_arrays_and_back
  85 def subtract(x, y, name=None):
  86     return ivy.subtract(x, y)
  87 
  88 
  89 @with_supported_dtypes({"2.4.2 and below": ("float32", "float64")}, "paddle")
  90 @to_ivy_arrays_and_back
  91 def sqrt(x, name=None):
  92     return ivy.sqrt(x)
  93 
  94 
  95 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  96 @to_ivy_arrays_and_back
  97 def atanh(x, name=None):
  98     return ivy.atanh(x)
  99 
  100 
  101 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  102 @to_ivy_arrays_and_back
  103 def atan(x, name=None):
  104     return ivy.atan(x)
  105 
  106 
  107 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  108 @to_ivy_arrays_and_back
  109 def round(x, name=None):
  110     return ivy.round(x)
  111 
  112 
  113 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  114 @to_ivy_arrays_and_back
  115 def ceil(x, name=None):
  116     return ivy.ceil(x)
  117 
  118 
  119 @with_supported_dtypes({"2.4.2 and below": ("float32", "float64")}, "paddle")
  120 @to_ivy_arrays_and_back
  121 def sinh(x, name=None):
  122     return ivy.sinh(x)
  123 
  124 
  125 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  126 @to_ivy_arrays_and_back
  127 def pow(x, y, name=None):
  128     return ivy.pow(x, y)
  129 
  130 
  131 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  132 @to_ivy_arrays_and_back
  133 def floor(x, name=None):
  134     return ivy.floor(x)
  135 
  136 
  137 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  138 @to_ivy_arrays_and_back
  139 def remainder(x, y, name=None):
  140     return ivy.remainder(x, y)
  141 
  142 
  143 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  144 @to_ivy_arrays_and_back
  145 def log2(x, name=None):
  146     return ivy.log2(x)
  147 
  148 
  149 @with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  150 @to_ivy_arrays_and_back
  151 def log1p(x, name=None):
  152     return ivy.log1p(x)
  153
  ```
  --- 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/math.py b/ivy/functional/frontends/paddle/tensor/math.py
  --- a/ivy/functional/frontends/paddle/tensor/math.py
  +++ b/ivy/functional/frontends/paddle/tensor/math.py
  @@ -150,3 +150,9 @@
   @to_ivy_arrays_and_back
   def log1p(x, name=None):
       return ivy.log1p(x)
  +
  +
  +@with_unsupported_dtypes({"2.4.2 and below": ("float16", "bfloat16")}, "paddle")
  +@to_ivy_arrays_and_back
  +def rad2deg(x, name=None):
  +    return ivy.rad2deg(x)
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/paddle/tensor/math.py b/ivy/functional/frontends/paddle/tensor/math.py\n--- a/ivy/functional/frontends/paddle/tensor/math.py\n+++ b/ivy/functional/frontends/paddle/tensor/math.py\n@@ -150,3 +150,9 @@\n @to_ivy_arrays_and_back\n def log1p(x, name=None):\n     return ivy.log1p(x)\n+\n+\n+@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n+@to_ivy_arrays_and_back\n+def rad2deg(x, name=None):\n+    return ivy.rad2deg(x)\n", "issue": "rad2deg\n\n", "before_files": [{"content": "# global\nimport ivy\nfrom ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef sin(x, name=None):\n    return ivy.sin(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef cos(x, name=None):\n    return ivy.cos(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef acos(x, name=None):\n    return ivy.acos(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef cosh(x, name=None):\n    return ivy.cosh(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef tanh(x, name=None):\n    return ivy.tanh(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef acosh(x, name=None):\n    return ivy.acosh(x)\n\n\n@with_supported_dtypes({\"2.4.2 and below\": (\"float32\", \"float64\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef asin(x, name=None):\n    return ivy.asin(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef log(x, name=None):\n    return ivy.log(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef divide(x, y, name=None):\n    return ivy.divide(x, y)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef abs(x, name=None):\n    return ivy.abs(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef multiply(x, y, name=None):\n    return ivy.multiply(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"unsigned\", \"int8\", \"float16\", \"bfloat16\")}, \"paddle\"\n)\n@to_ivy_arrays_and_back\ndef add(x, y, name=None):\n    return ivy.add(x, y)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef subtract(x, y, name=None):\n    return ivy.subtract(x, y)\n\n\n@with_supported_dtypes({\"2.4.2 and below\": (\"float32\", \"float64\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef sqrt(x, name=None):\n    return ivy.sqrt(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef atanh(x, name=None):\n    return ivy.atanh(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef atan(x, name=None):\n    return ivy.atan(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef round(x, name=None):\n    return ivy.round(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef ceil(x, name=None):\n    return ivy.ceil(x)\n\n\n@with_supported_dtypes({\"2.4.2 and below\": (\"float32\", \"float64\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef sinh(x, name=None):\n    return ivy.sinh(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef pow(x, y, name=None):\n    return ivy.pow(x, y)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef floor(x, name=None):\n    return ivy.floor(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef remainder(x, y, name=None):\n    return ivy.remainder(x, y)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef log2(x, name=None):\n    return ivy.log2(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef log1p(x, name=None):\n    return ivy.log1p(x)\n", "path": "ivy/functional/frontends/paddle/tensor/math.py"}], "after_files": [{"content": "# global\nimport ivy\nfrom ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef sin(x, name=None):\n    return ivy.sin(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef cos(x, name=None):\n    return ivy.cos(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef acos(x, name=None):\n    return ivy.acos(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef cosh(x, name=None):\n    return ivy.cosh(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef tanh(x, name=None):\n    return ivy.tanh(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef acosh(x, name=None):\n    return ivy.acosh(x)\n\n\n@with_supported_dtypes({\"2.4.2 and below\": (\"float32\", \"float64\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef asin(x, name=None):\n    return ivy.asin(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef log(x, name=None):\n    return ivy.log(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef divide(x, y, name=None):\n    return ivy.divide(x, y)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef abs(x, name=None):\n    return ivy.abs(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef multiply(x, y, name=None):\n    return ivy.multiply(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"unsigned\", \"int8\", \"float16\", \"bfloat16\")}, \"paddle\"\n)\n@to_ivy_arrays_and_back\ndef add(x, y, name=None):\n    return ivy.add(x, y)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef subtract(x, y, name=None):\n    return ivy.subtract(x, y)\n\n\n@with_supported_dtypes({\"2.4.2 and below\": (\"float32\", \"float64\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef sqrt(x, name=None):\n    return ivy.sqrt(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef atanh(x, name=None):\n    return ivy.atanh(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef atan(x, name=None):\n    return ivy.atan(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef round(x, name=None):\n    return ivy.round(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef ceil(x, name=None):\n    return ivy.ceil(x)\n\n\n@with_supported_dtypes({\"2.4.2 and below\": (\"float32\", \"float64\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef sinh(x, name=None):\n    return ivy.sinh(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef pow(x, y, name=None):\n    return ivy.pow(x, y)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef floor(x, name=None):\n    return ivy.floor(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef remainder(x, y, name=None):\n    return ivy.remainder(x, y)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef log2(x, name=None):\n    return ivy.log2(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef log1p(x, name=None):\n    return ivy.log1p(x)\n\n\n@with_unsupported_dtypes({\"2.4.2 and below\": (\"float16\", \"bfloat16\")}, \"paddle\")\n@to_ivy_arrays_and_back\ndef rad2deg(x, name=None):\n    return ivy.rad2deg(x)\n", "path": "ivy/functional/frontends/paddle/tensor/math.py"}]}