prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  unwrap
  
  
  --- 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/numpy/mathematical_functions/other_special_functions.py`
  Content:
  ```
  ```
  --- 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/numpy/mathematical_functions/other_special_functions.py b/ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py
  --- a/ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py
  +++ b/ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py
  @@ -0,0 +1,48 @@
  +# global
  +import ivy
  +
  +# local
  +from ivy.functional.frontends.numpy.func_wrapper import (
  +    to_ivy_arrays_and_back,
  +    handle_numpy_dtype,
  +    from_zero_dim_arrays_to_scalar,
  +    handle_numpy_out,
  +)
  +
  +
  +
  +@handle_numpy_out
  +@handle_numpy_dtype
  +@to_ivy_arrays_and_back
  +@from_zero_dim_arrays_to_scalar
  +def unwrap(p, discont=None, axis=-1, *, period=2*pi):
  +    p = ivy.Array.asarray(p)
  +    nd = p.ndim
  +    dd = ivy.diff(p, axis=axis)
  +    if discont is None:
  +        discont = period/2
  +    slice1 = [ivy.slice(None, None)]*nd     # full slices
  +    slice1[axis] = ivy.slice(1, None)
  +    slice1 = ivy.tuple(slice1)
  +    dtype = ivy.result_type(dd, period)
  +    if ivy.issubdtype(dtype, ivy.integer):
  +        interval_high, rem = ivy.divmod(period, 2)
  +        boundary_ambiguous = rem == 0
  +    else:
  +        interval_high = period / 2
  +        boundary_ambiguous = True
  +    interval_low = -interval_high
  +    ddmod = ivy.mod(dd - interval_low, period) + interval_low
  +    if boundary_ambiguous:
  +        ivy.copyto(ddmod, interval_high,
  +                   where=(ddmod == interval_low) & (dd > 0))
  +    ph_correct = ddmod - dd
  +    ivy.copyto(ph_correct, 0, where=ivy.abs(dd) < discont)
  +    up = ivy.array(p, copy=True, dtype=dtype)
  +    up[slice1] = p[slice1] + ph_correct.cumsum(axis)
  +    return up
  +
  +my_list = [24,8,3,4,34,8]
  +ans = unwrap(my_list)
  +print("After the np.unwrap()")
  +print(ans)
  \ No newline at end of file
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py b/ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py\n--- a/ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py\n+++ b/ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py\n@@ -0,0 +1,48 @@\n+# global\n+import ivy\n+\n+# local\n+from ivy.functional.frontends.numpy.func_wrapper import (\n+    to_ivy_arrays_and_back,\n+    handle_numpy_dtype,\n+    from_zero_dim_arrays_to_scalar,\n+    handle_numpy_out,\n+)\n+\n+\n+\n+@handle_numpy_out\n+@handle_numpy_dtype\n+@to_ivy_arrays_and_back\n+@from_zero_dim_arrays_to_scalar\n+def unwrap(p, discont=None, axis=-1, *, period=2*pi):\n+    p = ivy.Array.asarray(p)\n+    nd = p.ndim\n+    dd = ivy.diff(p, axis=axis)\n+    if discont is None:\n+        discont = period/2\n+    slice1 = [ivy.slice(None, None)]*nd     # full slices\n+    slice1[axis] = ivy.slice(1, None)\n+    slice1 = ivy.tuple(slice1)\n+    dtype = ivy.result_type(dd, period)\n+    if ivy.issubdtype(dtype, ivy.integer):\n+        interval_high, rem = ivy.divmod(period, 2)\n+        boundary_ambiguous = rem == 0\n+    else:\n+        interval_high = period / 2\n+        boundary_ambiguous = True\n+    interval_low = -interval_high\n+    ddmod = ivy.mod(dd - interval_low, period) + interval_low\n+    if boundary_ambiguous:\n+        ivy.copyto(ddmod, interval_high,\n+                   where=(ddmod == interval_low) & (dd > 0))\n+    ph_correct = ddmod - dd\n+    ivy.copyto(ph_correct, 0, where=ivy.abs(dd) < discont)\n+    up = ivy.array(p, copy=True, dtype=dtype)\n+    up[slice1] = p[slice1] + ph_correct.cumsum(axis)\n+    return up\n+\n+my_list = [24,8,3,4,34,8]\n+ans = unwrap(my_list)\n+print(\"After the np.unwrap()\")\n+print(ans)\n\\ No newline at end of file\n", "issue": "unwrap\n\n", "before_files": [{"content": "", "path": "ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py"}], "after_files": [{"content": "# global\nimport ivy\n\n# local\nfrom ivy.functional.frontends.numpy.func_wrapper import (\n    to_ivy_arrays_and_back,\n    handle_numpy_dtype,\n    from_zero_dim_arrays_to_scalar,\n    handle_numpy_out,\n)\n\n\n\n@handle_numpy_out\n@handle_numpy_dtype\n@to_ivy_arrays_and_back\n@from_zero_dim_arrays_to_scalar\ndef unwrap(p, discont=None, axis=-1, *, period=2*pi):\n    p = ivy.Array.asarray(p)\n    nd = p.ndim\n    dd = ivy.diff(p, axis=axis)\n    if discont is None:\n        discont = period/2\n    slice1 = [ivy.slice(None, None)]*nd     # full slices\n    slice1[axis] = ivy.slice(1, None)\n    slice1 = ivy.tuple(slice1)\n    dtype = ivy.result_type(dd, period)\n    if ivy.issubdtype(dtype, ivy.integer):\n        interval_high, rem = ivy.divmod(period, 2)\n        boundary_ambiguous = rem == 0\n    else:\n        interval_high = period / 2\n        boundary_ambiguous = True\n    interval_low = -interval_high\n    ddmod = ivy.mod(dd - interval_low, period) + interval_low\n    if boundary_ambiguous:\n        ivy.copyto(ddmod, interval_high,\n                   where=(ddmod == interval_low) & (dd > 0))\n    ph_correct = ddmod - dd\n    ivy.copyto(ph_correct, 0, where=ivy.abs(dd) < discont)\n    up = ivy.array(p, copy=True, dtype=dtype)\n    up[slice1] = p[slice1] + ph_correct.cumsum(axis)\n    return up\n\nmy_list = [24,8,3,4,34,8]\nans = unwrap(my_list)\nprint(\"After the np.unwrap()\")\nprint(ans)", "path": "ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py"}]}