prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  bitwise_and
  
  
  --- 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/logic.py`
  Content:
  ```
  1 # global
  2 import ivy
  3 import ivy.functional.frontends.paddle as paddle
  4 from ivy.func_wrapper import (
  5     with_unsupported_dtypes,
  6     handle_out_argument,
  7     with_supported_dtypes,
  8 )
  9 from ivy.functional.frontends.paddle.func_wrapper import (
  10     to_ivy_arrays_and_back,
  11 )
  12 
  13 
  14 @with_unsupported_dtypes(
  15     {"2.4.2 and below": ("uint8", "int8", "int16", "complex64", "complex128")}, "paddle"
  16 )
  17 @to_ivy_arrays_and_back
  18 def equal(x, y, /, *, name=None):
  19     return ivy.equal(x, y)
  20 
  21 
  22 @with_unsupported_dtypes(
  23     {"2.4.2 and below": ("uint8", "int8", "int16", "complex64", "complex128")}, "paddle"
  24 )
  25 @to_ivy_arrays_and_back
  26 def not_equal(x, y, /, *, name=None):
  27     return ivy.not_equal(x, y)
  28 
  29 
  30 @with_unsupported_dtypes(
  31     {
  32         "2.4.2 and below": (
  33             "uint8",
  34             "int8",
  35             "int16",
  36             "float16",
  37             "complex64",
  38             "complex128",
  39         )
  40     },
  41     "paddle",
  42 )
  43 @to_ivy_arrays_and_back
  44 def equal_all(x, y, /, *, name=None):
  45     return paddle.to_tensor([ivy.array_equal(x, y)])
  46 
  47 
  48 @with_unsupported_dtypes(
  49     {"2.4.2 and below": ("bool", "uint8", "int8", "int16", "complex64", "complex128")},
  50     "paddle",
  51 )
  52 @to_ivy_arrays_and_back
  53 def greater_than(x, y, /, *, name=None):
  54     return ivy.greater(x, y)
  55 
  56 
  57 @with_unsupported_dtypes(
  58     {"2.4.2 and below": ("bool", "uint8", "int8", "int16", "complex64", "complex128")},
  59     "paddle",
  60 )
  61 @to_ivy_arrays_and_back
  62 def greater_equal(x, y, /, *, name=None):
  63     return ivy.greater_equal(x, y)
  64 
  65 
  66 @with_unsupported_dtypes(
  67     {"2.4.2 and below": ("bool", "uint8", "int8", "int16", "complex64", "complex128")},
  68     "paddle",
  69 )
  70 @to_ivy_arrays_and_back
  71 def less_than(x, y, /, *, name=None):
  72     return ivy.less(x, y)
  73 
  74 
  75 @with_unsupported_dtypes(
  76     {"2.4.2 and below": ("bool", "uint8", "int8", "int16", "complex64", "complex128")},
  77     "paddle",
  78 )
  79 @to_ivy_arrays_and_back
  80 def less_equal(x, y, /, *, name=None):
  81     return ivy.less_equal(x, y)
  82 
  83 
  84 @with_supported_dtypes(
  85     {
  86         "2.4.2 and below": (
  87             "bool",
  88             "int8",
  89             "int16",
  90             "int32",
  91             "int64",
  92             "float32",
  93             "float64",
  94         )
  95     },
  96     "paddle",
  97 )
  98 @to_ivy_arrays_and_back
  99 @handle_out_argument
  100 def logical_or(x, y, /, *, name=None, out=None):
  101     return ivy.logical_or(x, y, out=out)
  102 
  103 
  104 @with_supported_dtypes(
  105     {
  106         "2.4.2 and below": (
  107             "bool",
  108             "int8",
  109             "int16",
  110             "int32",
  111             "int64",
  112             "float32",
  113             "float64",
  114         )
  115     },
  116     "paddle",
  117 )
  118 @to_ivy_arrays_and_back
  119 @handle_out_argument
  120 def logical_xor(x, y, /, *, name=None, out=None):
  121     return ivy.logical_xor(x, y, out=out)
  122 
  123 
  124 @with_supported_dtypes(
  125     {
  126         "2.4.2 and below": (
  127             "bool",
  128             "int8",
  129             "int16",
  130             "int32",
  131             "int64",
  132             "float32",
  133             "float64",
  134         )
  135     },
  136     "paddle",
  137 )
  138 @to_ivy_arrays_and_back
  139 @handle_out_argument
  140 def logical_not(x, /, *, name=None, out=None):
  141     return ivy.logical_not(x, out=out)
  142 
  143 
  144 @with_supported_dtypes(
  145     {
  146         "2.4.2 and below": (
  147             "bool",
  148             "uint8",
  149             "int8",
  150             "int16",
  151             "int32",
  152             "int64",
  153         )
  154     },
  155     "paddle",
  156 )
  157 @to_ivy_arrays_and_back
  158 @handle_out_argument
  159 def bitwise_or(x, y, name=None, out=None):
  160     return ivy.bitwise_or(x, y, out=out)
  161
  ```
  --- 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/logic.py b/ivy/functional/frontends/paddle/tensor/logic.py
  --- a/ivy/functional/frontends/paddle/tensor/logic.py
  +++ b/ivy/functional/frontends/paddle/tensor/logic.py
  @@ -158,3 +158,22 @@
   @handle_out_argument
   def bitwise_or(x, y, name=None, out=None):
       return ivy.bitwise_or(x, y, out=out)
  +
  +
  +@with_supported_dtypes(
  +    {
  +        "2.4.2 and below": (
  +            "bool",
  +            "uint8",
  +            "int8",
  +            "int16",
  +            "int32",
  +            "int64",
  +        )
  +    },
  +    "paddle",
  +)
  +@to_ivy_arrays_and_back
  +@handle_out_argument
  +def bitwise_and(x, y, /, *, name=None, out=None):
  +    return ivy.bitwise_and(x, y, out=out)
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/paddle/tensor/logic.py b/ivy/functional/frontends/paddle/tensor/logic.py\n--- a/ivy/functional/frontends/paddle/tensor/logic.py\n+++ b/ivy/functional/frontends/paddle/tensor/logic.py\n@@ -158,3 +158,22 @@\n @handle_out_argument\n def bitwise_or(x, y, name=None, out=None):\n     return ivy.bitwise_or(x, y, out=out)\n+\n+\n+@with_supported_dtypes(\n+    {\n+        \"2.4.2 and below\": (\n+            \"bool\",\n+            \"uint8\",\n+            \"int8\",\n+            \"int16\",\n+            \"int32\",\n+            \"int64\",\n+        )\n+    },\n+    \"paddle\",\n+)\n+@to_ivy_arrays_and_back\n+@handle_out_argument\n+def bitwise_and(x, y, /, *, name=None, out=None):\n+    return ivy.bitwise_and(x, y, out=out)\n", "issue": "bitwise_and\n\n", "before_files": [{"content": "# global\nimport ivy\nimport ivy.functional.frontends.paddle as paddle\nfrom ivy.func_wrapper import (\n    with_unsupported_dtypes,\n    handle_out_argument,\n    with_supported_dtypes,\n)\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")}, \"paddle\"\n)\n@to_ivy_arrays_and_back\ndef equal(x, y, /, *, name=None):\n    return ivy.equal(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")}, \"paddle\"\n)\n@to_ivy_arrays_and_back\ndef not_equal(x, y, /, *, name=None):\n    return ivy.not_equal(x, y)\n\n\n@with_unsupported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"uint8\",\n            \"int8\",\n            \"int16\",\n            \"float16\",\n            \"complex64\",\n            \"complex128\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef equal_all(x, y, /, *, name=None):\n    return paddle.to_tensor([ivy.array_equal(x, y)])\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef greater_than(x, y, /, *, name=None):\n    return ivy.greater(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef greater_equal(x, y, /, *, name=None):\n    return ivy.greater_equal(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef less_than(x, y, /, *, name=None):\n    return ivy.less(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef less_equal(x, y, /, *, name=None):\n    return ivy.less_equal(x, y)\n\n\n@with_supported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"bool\",\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n            \"float32\",\n            \"float64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\n@handle_out_argument\ndef logical_or(x, y, /, *, name=None, out=None):\n    return ivy.logical_or(x, y, out=out)\n\n\n@with_supported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"bool\",\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n            \"float32\",\n            \"float64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\n@handle_out_argument\ndef logical_xor(x, y, /, *, name=None, out=None):\n    return ivy.logical_xor(x, y, out=out)\n\n\n@with_supported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"bool\",\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n            \"float32\",\n            \"float64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\n@handle_out_argument\ndef logical_not(x, /, *, name=None, out=None):\n    return ivy.logical_not(x, out=out)\n\n\n@with_supported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"bool\",\n            \"uint8\",\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\n@handle_out_argument\ndef bitwise_or(x, y, name=None, out=None):\n    return ivy.bitwise_or(x, y, out=out)\n", "path": "ivy/functional/frontends/paddle/tensor/logic.py"}], "after_files": [{"content": "# global\nimport ivy\nimport ivy.functional.frontends.paddle as paddle\nfrom ivy.func_wrapper import (\n    with_unsupported_dtypes,\n    handle_out_argument,\n    with_supported_dtypes,\n)\nfrom ivy.functional.frontends.paddle.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")}, \"paddle\"\n)\n@to_ivy_arrays_and_back\ndef equal(x, y, /, *, name=None):\n    return ivy.equal(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")}, \"paddle\"\n)\n@to_ivy_arrays_and_back\ndef not_equal(x, y, /, *, name=None):\n    return ivy.not_equal(x, y)\n\n\n@with_unsupported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"uint8\",\n            \"int8\",\n            \"int16\",\n            \"float16\",\n            \"complex64\",\n            \"complex128\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef equal_all(x, y, /, *, name=None):\n    return paddle.to_tensor([ivy.array_equal(x, y)])\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef greater_than(x, y, /, *, name=None):\n    return ivy.greater(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef greater_equal(x, y, /, *, name=None):\n    return ivy.greater_equal(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef less_than(x, y, /, *, name=None):\n    return ivy.less(x, y)\n\n\n@with_unsupported_dtypes(\n    {\"2.4.2 and below\": (\"bool\", \"uint8\", \"int8\", \"int16\", \"complex64\", \"complex128\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef less_equal(x, y, /, *, name=None):\n    return ivy.less_equal(x, y)\n\n\n@with_supported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"bool\",\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n            \"float32\",\n            \"float64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\n@handle_out_argument\ndef logical_or(x, y, /, *, name=None, out=None):\n    return ivy.logical_or(x, y, out=out)\n\n\n@with_supported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"bool\",\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n            \"float32\",\n            \"float64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\n@handle_out_argument\ndef logical_xor(x, y, /, *, name=None, out=None):\n    return ivy.logical_xor(x, y, out=out)\n\n\n@with_supported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"bool\",\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n            \"float32\",\n            \"float64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\n@handle_out_argument\ndef logical_not(x, /, *, name=None, out=None):\n    return ivy.logical_not(x, out=out)\n\n\n@with_supported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"bool\",\n            \"uint8\",\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\n@handle_out_argument\ndef bitwise_or(x, y, name=None, out=None):\n    return ivy.bitwise_or(x, y, out=out)\n\n\n@with_supported_dtypes(\n    {\n        \"2.4.2 and below\": (\n            \"bool\",\n            \"uint8\",\n            \"int8\",\n            \"int16\",\n            \"int32\",\n            \"int64\",\n        )\n    },\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\n@handle_out_argument\ndef bitwise_and(x, y, /, *, name=None, out=None):\n    return ivy.bitwise_and(x, y, out=out)\n", "path": "ivy/functional/frontends/paddle/tensor/logic.py"}]}