prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  diagflat
  
  
  </issue>
  <code>
  [start of ivy/functional/frontends/numpy/creation_routines/building_matrices.py]
  1 import ivy
  2 from ivy.functional.frontends.numpy.func_wrapper import (
  3     to_ivy_arrays_and_back,
  4     handle_numpy_dtype,
  5 )
  6 
  7 
  8 @to_ivy_arrays_and_back
  9 def tril(m, k=0):
  10     return ivy.tril(m, k=k)
  11 
  12 
  13 @to_ivy_arrays_and_back
  14 def triu(m, k=0):
  15     return ivy.triu(m, k=k)
  16 
  17 
  18 @handle_numpy_dtype
  19 @to_ivy_arrays_and_back
  20 def tri(N, M=None, k=0, dtype="float64", *, like=None):
  21     if M is None:
  22         M = N
  23     ones = ivy.ones((N, M), dtype=dtype)
  24     return ivy.tril(ones, k=k)
  25 
  26 
  27 @to_ivy_arrays_and_back
  28 def diag(v, k=0):
  29     return ivy.diag(v, k=k)
  30 
  31 
  32 @to_ivy_arrays_and_back
  33 def vander(x, N=None, increasing=False):
  34     if ivy.is_float_dtype(x):
  35         x = x.astype(ivy.float64)
  36     elif ivy.is_bool_dtype or ivy.is_int_dtype(x):
  37         x = x.astype(ivy.int64)
  38     return ivy.vander(x, N=N, increasing=increasing)
  39
  [end of ivy/functional/frontends/numpy/creation_routines/building_matrices.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/creation_routines/building_matrices.py b/ivy/functional/frontends/numpy/creation_routines/building_matrices.py
  --- a/ivy/functional/frontends/numpy/creation_routines/building_matrices.py
  +++ b/ivy/functional/frontends/numpy/creation_routines/building_matrices.py
  @@ -36,3 +36,12 @@
       elif ivy.is_bool_dtype or ivy.is_int_dtype(x):
           x = x.astype(ivy.int64)
       return ivy.vander(x, N=N, increasing=increasing)
  +
  +
  +# diagflat
  +@to_ivy_arrays_and_back
  +def diagflat(v, k=0):
  +    ret = ivy.diagflat(v, offset=k)
  +    while len(ivy.shape(ret)) < 2:
  +        ret = ret.expand_dims(axis=0)
  +    return ret
  
verification_info: {"golden_diff": "diff --git a/ivy/functional/frontends/numpy/creation_routines/building_matrices.py b/ivy/functional/frontends/numpy/creation_routines/building_matrices.py\n--- a/ivy/functional/frontends/numpy/creation_routines/building_matrices.py\n+++ b/ivy/functional/frontends/numpy/creation_routines/building_matrices.py\n@@ -36,3 +36,12 @@\n     elif ivy.is_bool_dtype or ivy.is_int_dtype(x):\n         x = x.astype(ivy.int64)\n     return ivy.vander(x, N=N, increasing=increasing)\n+\n+\n+# diagflat\n+@to_ivy_arrays_and_back\n+def diagflat(v, k=0):\n+    ret = ivy.diagflat(v, offset=k)\n+    while len(ivy.shape(ret)) < 2:\n+        ret = ret.expand_dims(axis=0)\n+    return ret\n", "issue": "diagflat\n\n", "before_files": [{"content": "import ivy\nfrom ivy.functional.frontends.numpy.func_wrapper import (\n    to_ivy_arrays_and_back,\n    handle_numpy_dtype,\n)\n\n\n@to_ivy_arrays_and_back\ndef tril(m, k=0):\n    return ivy.tril(m, k=k)\n\n\n@to_ivy_arrays_and_back\ndef triu(m, k=0):\n    return ivy.triu(m, k=k)\n\n\n@handle_numpy_dtype\n@to_ivy_arrays_and_back\ndef tri(N, M=None, k=0, dtype=\"float64\", *, like=None):\n    if M is None:\n        M = N\n    ones = ivy.ones((N, M), dtype=dtype)\n    return ivy.tril(ones, k=k)\n\n\n@to_ivy_arrays_and_back\ndef diag(v, k=0):\n    return ivy.diag(v, k=k)\n\n\n@to_ivy_arrays_and_back\ndef vander(x, N=None, increasing=False):\n    if ivy.is_float_dtype(x):\n        x = x.astype(ivy.float64)\n    elif ivy.is_bool_dtype or ivy.is_int_dtype(x):\n        x = x.astype(ivy.int64)\n    return ivy.vander(x, N=N, increasing=increasing)\n", "path": "ivy/functional/frontends/numpy/creation_routines/building_matrices.py"}]}