prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  [vec][search] update to paddlespeech model
  
  
  </issue>
  <code>
  [start of demos/audio_searching/src/encode.py]
  1 # Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
  2 #
  3 # Licensed under the Apache License, Version 2.0 (the "License");
  4 # you may not use this file except in compliance with the License.
  5 # You may obtain a copy of the License at
  6 #
  7 #     http://www.apache.org/licenses/LICENSE-2.0
  8 #
  9 # Unless required by applicable law or agreed to in writing, software
  10 # distributed under the License is distributed on an "AS IS" BASIS,
  11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12 # See the License for the specific language governing permissions and
  13 # limitations under the License.
  14 import numpy as np
  15 from logs import LOGGER
  16 
  17 from paddlespeech.cli import VectorExecutor
  18 
  19 vector_executor = VectorExecutor()
  20 
  21 
  22 def get_audio_embedding(path):
  23     """
  24     Use vpr_inference to generate embedding of audio
  25     """
  26     try:
  27         embedding = vector_executor(audio_file=path)
  28         embedding = embedding / np.linalg.norm(embedding)
  29         embedding = embedding.tolist()
  30         return embedding
  31     except Exception as e:
  32         LOGGER.error(f"Error with embedding:{e}")
  33         return None
  34
  [end of demos/audio_searching/src/encode.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/demos/audio_searching/src/encode.py b/demos/audio_searching/src/encode.py
  --- a/demos/audio_searching/src/encode.py
  +++ b/demos/audio_searching/src/encode.py
  @@ -12,8 +12,8 @@
   # See the License for the specific language governing permissions and
   # limitations under the License.
   import numpy as np
  -from logs import LOGGER
   
  +from logs import LOGGER
   from paddlespeech.cli import VectorExecutor
   
   vector_executor = VectorExecutor()
  @@ -24,7 +24,8 @@
       Use vpr_inference to generate embedding of audio
       """
       try:
  -        embedding = vector_executor(audio_file=path)
  +        embedding = vector_executor(
  +            audio_file=path, model='ecapatdnn_voxceleb12')
           embedding = embedding / np.linalg.norm(embedding)
           embedding = embedding.tolist()
           return embedding
  
verification_info: {"golden_diff": "diff --git a/demos/audio_searching/src/encode.py b/demos/audio_searching/src/encode.py\n--- a/demos/audio_searching/src/encode.py\n+++ b/demos/audio_searching/src/encode.py\n@@ -12,8 +12,8 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n import numpy as np\n-from logs import LOGGER\n \n+from logs import LOGGER\n from paddlespeech.cli import VectorExecutor\n \n vector_executor = VectorExecutor()\n@@ -24,7 +24,8 @@\n     Use vpr_inference to generate embedding of audio\n     \"\"\"\n     try:\n-        embedding = vector_executor(audio_file=path)\n+        embedding = vector_executor(\n+            audio_file=path, model='ecapatdnn_voxceleb12')\n         embedding = embedding / np.linalg.norm(embedding)\n         embedding = embedding.tolist()\n         return embedding\n", "issue": "[vec][search] update to paddlespeech model\n\n", "before_files": [{"content": "# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nimport numpy as np\nfrom logs import LOGGER\n\nfrom paddlespeech.cli import VectorExecutor\n\nvector_executor = VectorExecutor()\n\n\ndef get_audio_embedding(path):\n    \"\"\"\n    Use vpr_inference to generate embedding of audio\n    \"\"\"\n    try:\n        embedding = vector_executor(audio_file=path)\n        embedding = embedding / np.linalg.norm(embedding)\n        embedding = embedding.tolist()\n        return embedding\n    except Exception as e:\n        LOGGER.error(f\"Error with embedding:{e}\")\n        return None\n", "path": "demos/audio_searching/src/encode.py"}]}