prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  unwrap
  
  
  </issue>
  <code>
  [start of ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py]
  [end of ivy/functional/frontends/numpy/mathematical_functions/other_special_functions.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
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"}]}