We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Fix travis-ci problems
Travis-ci always failed

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `variables.py`
Content:
```
1 # Copyright (c) 2018 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 
15 from onnx import helper, onnx_pb2, TensorProto
16 import paddle.fluid.core as core
17 
18 
19 def paddle_variable_to_onnx_tensor(paddle_var_name, block):
20     # TODO(varunarora): Need to do this only in the case of VarType.LOD_TENSOR.
21     paddle_var = block.var(paddle_var_name)
22     return helper.make_tensor_value_info(
23         paddle_var_name, PADDLE_TO_ONNX_DTYPE[paddle_var.dtype],
24         paddle_var.shape)
25 
26 
27 PADDLE_TO_ONNX_DTYPE = {
28     core.VarDesc.VarType.FP32: onnx_pb2.TensorProto.FLOAT,
29     core.VarDesc.VarType.FP64: onnx_pb2.TensorProto.FLOAT16,
30     # '': onnx_pb2.TensorProto.DOUBLE,
31     core.VarDesc.VarType.INT32: onnx_pb2.TensorProto.INT32,
32     core.VarDesc.VarType.INT16: onnx_pb2.TensorProto.INT16,
33     # '': onnx_pb2.TensorProto.INT8,
34     # '': onnx_pb2.TensorProto.UINT8,
35     core.VarDesc.VarType.INT16: onnx_pb2.TensorProto.UINT16,
36     core.VarDesc.VarType.INT64: onnx_pb2.TensorProto.INT64,
37     # '': onnx_pb2.TensorProto.STRING,
38     # '': onnx_pb2.TensorProto.COMPLEX64,
39     # '': onnx_pb2.TensorProto.COMPLEX128,
40     core.VarDesc.VarType.BOOL: onnx_pb2.TensorProto.BOOL
41 }
42
```
--- 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()

```

diff --git a/variables.py b/variables.py
--- a/variables.py
+++ b/variables.py
@@ -19,9 +19,9 @@
 def paddle_variable_to_onnx_tensor(paddle_var_name, block):
     # TODO(varunarora): Need to do this only in the case of VarType.LOD_TENSOR.
     paddle_var = block.var(paddle_var_name)
-    return helper.make_tensor_value_info(
-        paddle_var_name, PADDLE_TO_ONNX_DTYPE[paddle_var.dtype],
-        paddle_var.shape)
+    return helper.make_tensor_value_info(paddle_var_name,
+                                         PADDLE_TO_ONNX_DTYPE[paddle_var.dtype],
+                                         paddle_var.shape)
 
 
 PADDLE_TO_ONNX_DTYPE = {

{"golden_diff": "diff --git a/variables.py b/variables.py\n--- a/variables.py\n+++ b/variables.py\n@@ -19,9 +19,9 @@\n def paddle_variable_to_onnx_tensor(paddle_var_name, block):\n     # TODO(varunarora): Need to do this only in the case of VarType.LOD_TENSOR.\n     paddle_var = block.var(paddle_var_name)\n-    return helper.make_tensor_value_info(\n-        paddle_var_name, PADDLE_TO_ONNX_DTYPE[paddle_var.dtype],\n-        paddle_var.shape)\n+    return helper.make_tensor_value_info(paddle_var_name,\n+                                         PADDLE_TO_ONNX_DTYPE[paddle_var.dtype],\n+                                         paddle_var.shape)\n \n \n PADDLE_TO_ONNX_DTYPE = {\n", "issue": "Fix travis-ci problems\nTravis-ci always failed\n", "before_files": [{"content": "# Copyright (c) 2018 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.\n\nfrom onnx import helper, onnx_pb2, TensorProto\nimport paddle.fluid.core as core\n\n\ndef paddle_variable_to_onnx_tensor(paddle_var_name, block):\n    # TODO(varunarora): Need to do this only in the case of VarType.LOD_TENSOR.\n    paddle_var = block.var(paddle_var_name)\n    return helper.make_tensor_value_info(\n        paddle_var_name, PADDLE_TO_ONNX_DTYPE[paddle_var.dtype],\n        paddle_var.shape)\n\n\nPADDLE_TO_ONNX_DTYPE = {\n    core.VarDesc.VarType.FP32: onnx_pb2.TensorProto.FLOAT,\n    core.VarDesc.VarType.FP64: onnx_pb2.TensorProto.FLOAT16,\n    # '': onnx_pb2.TensorProto.DOUBLE,\n    core.VarDesc.VarType.INT32: onnx_pb2.TensorProto.INT32,\n    core.VarDesc.VarType.INT16: onnx_pb2.TensorProto.INT16,\n    # '': onnx_pb2.TensorProto.INT8,\n    # '': onnx_pb2.TensorProto.UINT8,\n    core.VarDesc.VarType.INT16: onnx_pb2.TensorProto.UINT16,\n    core.VarDesc.VarType.INT64: onnx_pb2.TensorProto.INT64,\n    # '': onnx_pb2.TensorProto.STRING,\n    # '': onnx_pb2.TensorProto.COMPLEX64,\n    # '': onnx_pb2.TensorProto.COMPLEX128,\n    core.VarDesc.VarType.BOOL: onnx_pb2.TensorProto.BOOL\n}\n", "path": "variables.py"}], "after_files": [{"content": "# Copyright (c) 2018 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.\n\nfrom onnx import helper, onnx_pb2, TensorProto\nimport paddle.fluid.core as core\n\n\ndef paddle_variable_to_onnx_tensor(paddle_var_name, block):\n    # TODO(varunarora): Need to do this only in the case of VarType.LOD_TENSOR.\n    paddle_var = block.var(paddle_var_name)\n    return helper.make_tensor_value_info(paddle_var_name,\n                                         PADDLE_TO_ONNX_DTYPE[paddle_var.dtype],\n                                         paddle_var.shape)\n\n\nPADDLE_TO_ONNX_DTYPE = {\n    core.VarDesc.VarType.FP32: onnx_pb2.TensorProto.FLOAT,\n    core.VarDesc.VarType.FP64: onnx_pb2.TensorProto.FLOAT16,\n    # '': onnx_pb2.TensorProto.DOUBLE,\n    core.VarDesc.VarType.INT32: onnx_pb2.TensorProto.INT32,\n    core.VarDesc.VarType.INT16: onnx_pb2.TensorProto.INT16,\n    # '': onnx_pb2.TensorProto.INT8,\n    # '': onnx_pb2.TensorProto.UINT8,\n    core.VarDesc.VarType.INT16: onnx_pb2.TensorProto.UINT16,\n    core.VarDesc.VarType.INT64: onnx_pb2.TensorProto.INT64,\n    # '': onnx_pb2.TensorProto.STRING,\n    # '': onnx_pb2.TensorProto.COMPLEX64,\n    # '': onnx_pb2.TensorProto.COMPLEX128,\n    core.VarDesc.VarType.BOOL: onnx_pb2.TensorProto.BOOL\n}\n", "path": "variables.py"}]}