prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  diagflat
  
  
  --- 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/creation_routines/building_matrices.py`
  Content:
  ```
  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 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/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"}], "after_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\n\n# diagflat\n@to_ivy_arrays_and_back\ndef 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", "path": "ivy/functional/frontends/numpy/creation_routines/building_matrices.py"}]}