prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  uniform
  
  
  --- 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/random.py`
  Content:
  ```
  1 # global
  2
  ```
  --- 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/random.py b/ivy/functional/frontends/paddle/tensor/random.py
  --- a/ivy/functional/frontends/paddle/tensor/random.py
  +++ b/ivy/functional/frontends/paddle/tensor/random.py
  @@ -1 +1,15 @@
   # global
  +import ivy
  +from ivy.func_wrapper import with_supported_dtypes
  +from ivy.functional.frontends.paddle.func_wrapper import (
  +    to_ivy_arrays_and_back,
  +)
  +
  +
  +@with_supported_dtypes(
  +    {"2.4.2 and below": ("float32", "float64")},
  +    "paddle",
  +)
  +@to_ivy_arrays_and_back
  +def uniform(shape, dtype=None, min=-1.0, max=1.0, seed=0, name=None):
  +    return ivy.random_uniform(low=min, high=max, shape=shape, dtype=dtype, seed=seed)
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/paddle/tensor/random.py b/ivy/functional/frontends/paddle/tensor/random.py\n--- a/ivy/functional/frontends/paddle/tensor/random.py\n+++ b/ivy/functional/frontends/paddle/tensor/random.py\n@@ -1 +1,15 @@\n # global\n+import ivy\n+from ivy.func_wrapper import with_supported_dtypes\n+from 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\")},\n+    \"paddle\",\n+)\n+@to_ivy_arrays_and_back\n+def uniform(shape, dtype=None, min=-1.0, max=1.0, seed=0, name=None):\n+    return ivy.random_uniform(low=min, high=max, shape=shape, dtype=dtype, seed=seed)\n", "issue": "uniform\n\n", "before_files": [{"content": "# global\n", "path": "ivy/functional/frontends/paddle/tensor/random.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\")},\n    \"paddle\",\n)\n@to_ivy_arrays_and_back\ndef uniform(shape, dtype=None, min=-1.0, max=1.0, seed=0, name=None):\n    return ivy.random_uniform(low=min, high=max, shape=shape, dtype=dtype, seed=seed)\n", "path": "ivy/functional/frontends/paddle/tensor/random.py"}]}