prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Set version for develop branch.
  According to [PEP 440](https://www.python.org/dev/peps/pep-0440/#developmental-releases), we should set version `X.YaN.devM`.
  
  </issue>
  <code>
  [start of setup_preprocessing.py]
  1 # Copyright 2020 The ElasticDL Authors. All rights reserved.
  2 # Licensed under the Apache License, Version 2.0 (the "License");
  3 # you may not use this file except in compliance with the License.
  4 # You may obtain a copy of the License at
  5 #
  6 # http://www.apache.org/licenses/LICENSE-2.0
  7 #
  8 # Unless required by applicable law or agreed to in writing, software
  9 # distributed under the License is distributed on an "AS IS" BASIS,
  10 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  11 # See the License for the specific language governing permissions and
  12 # limitations under the License.
  13 
  14 from setuptools import find_packages, setup
  15 
  16 with open("elasticdl_preprocessing/requirements.txt") as f:
  17     required_deps = f.read().splitlines()
  18 
  19 extras = {}
  20 with open("elasticdl_preprocessing/requirements-dev.txt") as f:
  21     extras["develop"] = f.read().splitlines()
  22 
  23 setup(
  24     name="elasticdl_preprocessing",
  25     version="develop",
  26     description="A feature preprocessing library.",
  27     long_description="This is an extension of the native Keras Preprocessing"
  28     " Layers and Feature Column API from TensorFlow. We can develop our model"
  29     " using the native high-level API from TensorFlow and our library."
  30     " We can train this model using native TensorFlow or ElasticDL.",
  31     long_description_content_type="text/markdown",
  32     author="Ant Financial",
  33     url="https://elasticdl.org",
  34     install_requires=required_deps,
  35     extras_require=extras,
  36     python_requires=">=3.5",
  37     packages=find_packages(
  38         include=["elasticdl_preprocessing*"], exclude=["*test*"]
  39     ),
  40     package_data={"": ["requirements.txt"]},
  41 )
  42
  [end of setup_preprocessing.py]
  [start of setup.py]
  1 # Copyright 2020 The ElasticDL Authors. All rights reserved.
  2 # Licensed under the Apache License, Version 2.0 (the "License");
  3 # you may not use this file except in compliance with the License.
  4 # You may obtain a copy of the License at
  5 #
  6 # http://www.apache.org/licenses/LICENSE-2.0
  7 #
  8 # Unless required by applicable law or agreed to in writing, software
  9 # distributed under the License is distributed on an "AS IS" BASIS,
  10 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  11 # See the License for the specific language governing permissions and
  12 # limitations under the License.
  13 
  14 from setuptools import find_packages, setup
  15 
  16 with open("elasticdl/requirements.txt") as f:
  17     required_deps = f.read().splitlines()
  18 required_deps.append("elasticdl_client")
  19 required_deps.append("elasticdl_preprocessing")
  20 
  21 extras = {}
  22 with open("elasticdl/requirements-dev.txt") as f:
  23     extras["develop"] = f.read().splitlines()
  24 
  25 setup(
  26     name="elasticdl",
  27     version="develop",
  28     description="A Kubernetes-native Deep Learning Framework",
  29     long_description="ElasticDL is a Kubernetes-native deep learning framework"
  30     " built on top of TensorFlow 2.0 that supports"
  31     " fault-tolerance and elastic scheduling.",
  32     long_description_content_type="text/markdown",
  33     author="Ant Financial",
  34     url="https://elasticdl.org",
  35     install_requires=required_deps,
  36     extras_require=extras,
  37     python_requires=">=3.5",
  38     packages=find_packages(
  39         exclude=[
  40             "*test*",
  41             "elasticdl_client*",
  42             "elasticdl_preprocessing*",
  43             "model_zoo*",
  44         ]
  45     ),
  46     package_data={
  47         "": [
  48             "proto/*.proto",
  49             "docker/*",
  50             "Makefile",
  51             "requirements.txt",
  52             "go/bin/elasticdl_ps",
  53             "go/pkg/kernel/capi/*",
  54         ]
  55     },
  56 )
  57
  [end of setup.py]
  [start of setup_client.py]
  1 # Copyright 2020 The ElasticDL Authors. All rights reserved.
  2 # Licensed under the Apache License, Version 2.0 (the "License");
  3 # you may not use this file except in compliance with the License.
  4 # You may obtain a copy of the License at
  5 #
  6 # http://www.apache.org/licenses/LICENSE-2.0
  7 #
  8 # Unless required by applicable law or agreed to in writing, software
  9 # distributed under the License is distributed on an "AS IS" BASIS,
  10 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  11 # See the License for the specific language governing permissions and
  12 # limitations under the License.
  13 
  14 from setuptools import find_packages, setup
  15 
  16 with open("elasticdl_client/requirements.txt") as f:
  17     required_deps = f.read().splitlines()
  18 
  19 setup(
  20     name="elasticdl_client",
  21     version="develop",
  22     description="The client command line tool for ElasticDL.",
  23     long_description="ElasticDL Client is the client command line tool for"
  24     " ElasticDL. Users can use it to submit distributed ElasticDL jobs to"
  25     " a Kubernetes cluster. It also provides an easy way to build and push"
  26     " Docker images for distributed ElasticDL jobs.",
  27     long_description_content_type="text/markdown",
  28     author="Ant Financial",
  29     url="https://elasticdl.org",
  30     install_requires=required_deps,
  31     python_requires=">=3.5",
  32     packages=find_packages(include=["elasticdl_client*"]),
  33     package_data={"": ["requirements.txt"]},
  34     entry_points={"console_scripts": ["elasticdl=elasticdl_client.main:main"]},
  35 )
  36
  [end of setup_client.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/setup.py b/setup.py
  --- a/setup.py
  +++ b/setup.py
  @@ -24,7 +24,7 @@
   
   setup(
       name="elasticdl",
  -    version="develop",
  +    version="0.2.0rc3.dev0",
       description="A Kubernetes-native Deep Learning Framework",
       long_description="ElasticDL is a Kubernetes-native deep learning framework"
       " built on top of TensorFlow 2.0 that supports"
  diff --git a/setup_client.py b/setup_client.py
  --- a/setup_client.py
  +++ b/setup_client.py
  @@ -18,7 +18,7 @@
   
   setup(
       name="elasticdl_client",
  -    version="develop",
  +    version="0.2.0rc3.dev0",
       description="The client command line tool for ElasticDL.",
       long_description="ElasticDL Client is the client command line tool for"
       " ElasticDL. Users can use it to submit distributed ElasticDL jobs to"
  diff --git a/setup_preprocessing.py b/setup_preprocessing.py
  --- a/setup_preprocessing.py
  +++ b/setup_preprocessing.py
  @@ -22,7 +22,7 @@
   
   setup(
       name="elasticdl_preprocessing",
  -    version="develop",
  +    version="0.2.0rc3.dev0",
       description="A feature preprocessing library.",
       long_description="This is an extension of the native Keras Preprocessing"
       " Layers and Feature Column API from TensorFlow. We can develop our model"
  
verification_info: {"golden_diff": "diff --git a/setup.py b/setup.py\n--- a/setup.py\n+++ b/setup.py\n@@ -24,7 +24,7 @@\n \n setup(\n     name=\"elasticdl\",\n-    version=\"develop\",\n+    version=\"0.2.0rc3.dev0\",\n     description=\"A Kubernetes-native Deep Learning Framework\",\n     long_description=\"ElasticDL is a Kubernetes-native deep learning framework\"\n     \" built on top of TensorFlow 2.0 that supports\"\ndiff --git a/setup_client.py b/setup_client.py\n--- a/setup_client.py\n+++ b/setup_client.py\n@@ -18,7 +18,7 @@\n \n setup(\n     name=\"elasticdl_client\",\n-    version=\"develop\",\n+    version=\"0.2.0rc3.dev0\",\n     description=\"The client command line tool for ElasticDL.\",\n     long_description=\"ElasticDL Client is the client command line tool for\"\n     \" ElasticDL. Users can use it to submit distributed ElasticDL jobs to\"\ndiff --git a/setup_preprocessing.py b/setup_preprocessing.py\n--- a/setup_preprocessing.py\n+++ b/setup_preprocessing.py\n@@ -22,7 +22,7 @@\n \n setup(\n     name=\"elasticdl_preprocessing\",\n-    version=\"develop\",\n+    version=\"0.2.0rc3.dev0\",\n     description=\"A feature preprocessing library.\",\n     long_description=\"This is an extension of the native Keras Preprocessing\"\n     \" Layers and Feature Column API from TensorFlow. We can develop our model\"\n", "issue": "Set version for develop branch.\nAccording to [PEP 440](https://www.python.org/dev/peps/pep-0440/#developmental-releases), we should set version `X.YaN.devM`.\n", "before_files": [{"content": "# Copyright 2020 The ElasticDL Authors. All rights reserved.\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 setuptools import find_packages, setup\n\nwith open(\"elasticdl_preprocessing/requirements.txt\") as f:\n    required_deps = f.read().splitlines()\n\nextras = {}\nwith open(\"elasticdl_preprocessing/requirements-dev.txt\") as f:\n    extras[\"develop\"] = f.read().splitlines()\n\nsetup(\n    name=\"elasticdl_preprocessing\",\n    version=\"develop\",\n    description=\"A feature preprocessing library.\",\n    long_description=\"This is an extension of the native Keras Preprocessing\"\n    \" Layers and Feature Column API from TensorFlow. We can develop our model\"\n    \" using the native high-level API from TensorFlow and our library.\"\n    \" We can train this model using native TensorFlow or ElasticDL.\",\n    long_description_content_type=\"text/markdown\",\n    author=\"Ant Financial\",\n    url=\"https://elasticdl.org\",\n    install_requires=required_deps,\n    extras_require=extras,\n    python_requires=\">=3.5\",\n    packages=find_packages(\n        include=[\"elasticdl_preprocessing*\"], exclude=[\"*test*\"]\n    ),\n    package_data={\"\": [\"requirements.txt\"]},\n)\n", "path": "setup_preprocessing.py"}, {"content": "# Copyright 2020 The ElasticDL Authors. All rights reserved.\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 setuptools import find_packages, setup\n\nwith open(\"elasticdl/requirements.txt\") as f:\n    required_deps = f.read().splitlines()\nrequired_deps.append(\"elasticdl_client\")\nrequired_deps.append(\"elasticdl_preprocessing\")\n\nextras = {}\nwith open(\"elasticdl/requirements-dev.txt\") as f:\n    extras[\"develop\"] = f.read().splitlines()\n\nsetup(\n    name=\"elasticdl\",\n    version=\"develop\",\n    description=\"A Kubernetes-native Deep Learning Framework\",\n    long_description=\"ElasticDL is a Kubernetes-native deep learning framework\"\n    \" built on top of TensorFlow 2.0 that supports\"\n    \" fault-tolerance and elastic scheduling.\",\n    long_description_content_type=\"text/markdown\",\n    author=\"Ant Financial\",\n    url=\"https://elasticdl.org\",\n    install_requires=required_deps,\n    extras_require=extras,\n    python_requires=\">=3.5\",\n    packages=find_packages(\n        exclude=[\n            \"*test*\",\n            \"elasticdl_client*\",\n            \"elasticdl_preprocessing*\",\n            \"model_zoo*\",\n        ]\n    ),\n    package_data={\n        \"\": [\n            \"proto/*.proto\",\n            \"docker/*\",\n            \"Makefile\",\n            \"requirements.txt\",\n            \"go/bin/elasticdl_ps\",\n            \"go/pkg/kernel/capi/*\",\n        ]\n    },\n)\n", "path": "setup.py"}, {"content": "# Copyright 2020 The ElasticDL Authors. All rights reserved.\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 setuptools import find_packages, setup\n\nwith open(\"elasticdl_client/requirements.txt\") as f:\n    required_deps = f.read().splitlines()\n\nsetup(\n    name=\"elasticdl_client\",\n    version=\"develop\",\n    description=\"The client command line tool for ElasticDL.\",\n    long_description=\"ElasticDL Client is the client command line tool for\"\n    \" ElasticDL. Users can use it to submit distributed ElasticDL jobs to\"\n    \" a Kubernetes cluster. It also provides an easy way to build and push\"\n    \" Docker images for distributed ElasticDL jobs.\",\n    long_description_content_type=\"text/markdown\",\n    author=\"Ant Financial\",\n    url=\"https://elasticdl.org\",\n    install_requires=required_deps,\n    python_requires=\">=3.5\",\n    packages=find_packages(include=[\"elasticdl_client*\"]),\n    package_data={\"\": [\"requirements.txt\"]},\n    entry_points={\"console_scripts\": [\"elasticdl=elasticdl_client.main:main\"]},\n)\n", "path": "setup_client.py"}]}