prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  fft2
  
  
  </issue>
  <code>
  [start of ivy/functional/frontends/scipy/fft/fft.py]
  1 # global
  2 import ivy
  3 from ivy.functional.frontends.scipy.func_wrapper import (
  4     to_ivy_arrays_and_back,
  5 )
  6 
  7 
  8 # fft
  9 @to_ivy_arrays_and_back
  10 def fft(x, n=None, axis=-1, norm="backward", overwrite_x=False):
  11     return ivy.fft(x, axis, norm=norm, n=n)
  12 
  13 
  14 # ifft
  15 @to_ivy_arrays_and_back
  16 def ifft(x, n=None, axis=-1, norm="backward", overwrite_x=False):
  17     return ivy.ifft(x, axis, norm=norm, n=n)
  18 
  19 
  20 # dct
  21 @to_ivy_arrays_and_back
  22 def dct(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, orthogonalize=None):
  23     return ivy.dct(x, type=type, n=n, axis=axis, norm=norm)
  24 
  25 
  26 # idct
  27 @to_ivy_arrays_and_back
  28 def idct(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, orthogonalize=None):
  29     inverse_type = {1: 1, 2: 3, 3: 2, 4: 4}[type]
  30     return ivy.dct(x, type=inverse_type, n=n, axis=axis, norm=norm)
  31
  [end of ivy/functional/frontends/scipy/fft/fft.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/scipy/fft/fft.py b/ivy/functional/frontends/scipy/fft/fft.py
  --- a/ivy/functional/frontends/scipy/fft/fft.py
  +++ b/ivy/functional/frontends/scipy/fft/fft.py
  @@ -28,3 +28,8 @@
   def idct(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, orthogonalize=None):
       inverse_type = {1: 1, 2: 3, 3: 2, 4: 4}[type]
       return ivy.dct(x, type=inverse_type, n=n, axis=axis, norm=norm)
  +
  +
  +@to_ivy_arrays_and_back
  +def fft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False):
  +    return ivy.fft2(x, s=s, dim=axes, norm=norm)
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/scipy/fft/fft.py b/ivy/functional/frontends/scipy/fft/fft.py\n--- a/ivy/functional/frontends/scipy/fft/fft.py\n+++ b/ivy/functional/frontends/scipy/fft/fft.py\n@@ -28,3 +28,8 @@\n def idct(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, orthogonalize=None):\n     inverse_type = {1: 1, 2: 3, 3: 2, 4: 4}[type]\n     return ivy.dct(x, type=inverse_type, n=n, axis=axis, norm=norm)\n+\n+\n+@to_ivy_arrays_and_back\n+def fft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False):\n+    return ivy.fft2(x, s=s, dim=axes, norm=norm)\n", "issue": "fft2\n\n", "before_files": [{"content": "# global\nimport ivy\nfrom ivy.functional.frontends.scipy.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n# fft\n@to_ivy_arrays_and_back\ndef fft(x, n=None, axis=-1, norm=\"backward\", overwrite_x=False):\n    return ivy.fft(x, axis, norm=norm, n=n)\n\n\n# ifft\n@to_ivy_arrays_and_back\ndef ifft(x, n=None, axis=-1, norm=\"backward\", overwrite_x=False):\n    return ivy.ifft(x, axis, norm=norm, n=n)\n\n\n# dct\n@to_ivy_arrays_and_back\ndef dct(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, orthogonalize=None):\n    return ivy.dct(x, type=type, n=n, axis=axis, norm=norm)\n\n\n# idct\n@to_ivy_arrays_and_back\ndef idct(x, type=2, n=None, axis=-1, norm=None, overwrite_x=False, orthogonalize=None):\n    inverse_type = {1: 1, 2: 3, 3: 2, 4: 4}[type]\n    return ivy.dct(x, type=inverse_type, n=n, axis=axis, norm=norm)\n", "path": "ivy/functional/frontends/scipy/fft/fft.py"}]}