prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  execfile() was removed from Python 3
  https://github.com/tensorflow/magenta/blob/master/magenta/tools/pip/setup.py#L23
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `magenta/tools/pip/setup.py`
  Content:
  ```
  1 # Copyright 2016 Google Inc. 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 """A setuptools based setup module for magenta."""
  15 
  16 from setuptools import find_packages
  17 from setuptools import setup
  18 
  19 # Bit of a hack to parse the version string stored in version.py without
  20 # executing __init__.py, which will end up requiring a bunch of dependencies to
  21 # execute (e.g., tensorflow, pretty_midi, etc.).
  22 # Makes the __version__ variable available.
  23 execfile('magenta/version.py')
  24 
  25 
  26 REQUIRED_PACKAGES = [
  27     'IPython',
  28     'Pillow >= 3.4.2',
  29     'bokeh >= 0.12.0',
  30     'futures',
  31     'intervaltree >= 2.1.0',
  32     'matplotlib >= 1.5.3',
  33     'mido == 1.2.6',
  34     'numpy >= 1.11.0',
  35     'pandas >= 0.18.1',
  36     'pretty_midi >= 0.2.6',
  37     'python-rtmidi',
  38     'scipy >= 0.18.1',
  39     'tensorflow >= 1.1.0',
  40     'wheel',
  41 ]
  42 
  43 CONSOLE_SCRIPTS = [
  44     'magenta.interfaces.midi.magenta_midi',
  45     'magenta.interfaces.midi.midi_clock',
  46     'magenta.models.drums_rnn.drums_rnn_create_dataset',
  47     'magenta.models.drums_rnn.drums_rnn_generate',
  48     'magenta.models.drums_rnn.drums_rnn_train',
  49     'magenta.models.image_stylization.image_stylization_create_dataset',
  50     'magenta.models.image_stylization.image_stylization_evaluate',
  51     'magenta.models.image_stylization.image_stylization_finetune',
  52     'magenta.models.image_stylization.image_stylization_train',
  53     'magenta.models.image_stylization.image_stylization_transform',
  54     'magenta.models.improv_rnn.improv_rnn_create_dataset',
  55     'magenta.models.improv_rnn.improv_rnn_generate',
  56     'magenta.models.improv_rnn.improv_rnn_train',
  57     'magenta.models.melody_rnn.melody_rnn_create_dataset',
  58     'magenta.models.melody_rnn.melody_rnn_generate',
  59     'magenta.models.melody_rnn.melody_rnn_train',
  60     'magenta.models.nsynth.wavenet.nsynth_generate',
  61     'magenta.models.nsynth.wavenet.nsynth_save_embeddings',
  62     'magenta.models.performance_rnn.performance_rnn_create_dataset',
  63     'magenta.models.performance_rnn.performance_rnn_generate',
  64     'magenta.models.performance_rnn.performance_rnn_train',
  65     'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_create_dataset',
  66     'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_generate',
  67     'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_train',
  68     'magenta.models.polyphony_rnn.polyphony_rnn_create_dataset',
  69     'magenta.models.polyphony_rnn.polyphony_rnn_generate',
  70     'magenta.models.polyphony_rnn.polyphony_rnn_train',
  71     'magenta.models.rl_tuner.rl_tuner_train',
  72     'magenta.models.sketch_rnn.sketch_rnn_train',
  73     'magenta.scripts.convert_dir_to_note_sequences',
  74 ]
  75 
  76 setup(
  77     name='magenta',
  78     version=__version__,  # pylint: disable=undefined-variable
  79     description='Use machine learning to create art and music',
  80     long_description='',
  81     url='https://magenta.tensorflow.org/',
  82     author='Google Inc.',
  83     author_email='opensource@google.com',
  84     license='Apache 2',
  85     # PyPI package information.
  86     classifiers=[
  87         'Development Status :: 4 - Beta',
  88         'Intended Audience :: Developers',
  89         'Intended Audience :: Education',
  90         'Intended Audience :: Science/Research',
  91         'License :: OSI Approved :: Apache Software License',
  92         'Programming Language :: Python :: 2.7',
  93         'Programming Language :: Python :: 3',
  94         'Topic :: Scientific/Engineering :: Mathematics',
  95         'Topic :: Software Development :: Libraries :: Python Modules',
  96         'Topic :: Software Development :: Libraries',
  97     ],
  98     keywords='tensorflow machine learning magenta music art',
  99 
  100     packages=find_packages(),
  101     install_requires=REQUIRED_PACKAGES,
  102     entry_points={
  103         'console_scripts': ['%s = %s:console_entry_point' % (n, p) for n, p in
  104                             ((s.split('.')[-1], s) for s in CONSOLE_SCRIPTS)],
  105     },
  106 
  107     include_package_data=True,
  108     package_data={
  109         'magenta': ['models/image_stylization/evaluation_images/*.jpg'],
  110     },
  111 )
  112
  ```
  --- 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/magenta/tools/pip/setup.py b/magenta/tools/pip/setup.py
  --- a/magenta/tools/pip/setup.py
  +++ b/magenta/tools/pip/setup.py
  @@ -20,7 +20,8 @@
   # executing __init__.py, which will end up requiring a bunch of dependencies to
   # execute (e.g., tensorflow, pretty_midi, etc.).
   # Makes the __version__ variable available.
  -execfile('magenta/version.py')
  +with open('magenta/version.py') as in_file:
  +    exec(in_file.read())
   
   
   REQUIRED_PACKAGES = [
  
verification_info: {"golden_diff": "diff --git a/magenta/tools/pip/setup.py b/magenta/tools/pip/setup.py\n--- a/magenta/tools/pip/setup.py\n+++ b/magenta/tools/pip/setup.py\n@@ -20,7 +20,8 @@\n # executing __init__.py, which will end up requiring a bunch of dependencies to\n # execute (e.g., tensorflow, pretty_midi, etc.).\n # Makes the __version__ variable available.\n-execfile('magenta/version.py')\n+with open('magenta/version.py') as in_file:\n+    exec(in_file.read())\n \n \n REQUIRED_PACKAGES = [\n", "issue": "execfile() was removed from Python 3\nhttps://github.com/tensorflow/magenta/blob/master/magenta/tools/pip/setup.py#L23\n", "before_files": [{"content": "# Copyright 2016 Google Inc. 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\"\"\"A setuptools based setup module for magenta.\"\"\"\n\nfrom setuptools import find_packages\nfrom setuptools import setup\n\n# Bit of a hack to parse the version string stored in version.py without\n# executing __init__.py, which will end up requiring a bunch of dependencies to\n# execute (e.g., tensorflow, pretty_midi, etc.).\n# Makes the __version__ variable available.\nexecfile('magenta/version.py')\n\n\nREQUIRED_PACKAGES = [\n    'IPython',\n    'Pillow >= 3.4.2',\n    'bokeh >= 0.12.0',\n    'futures',\n    'intervaltree >= 2.1.0',\n    'matplotlib >= 1.5.3',\n    'mido == 1.2.6',\n    'numpy >= 1.11.0',\n    'pandas >= 0.18.1',\n    'pretty_midi >= 0.2.6',\n    'python-rtmidi',\n    'scipy >= 0.18.1',\n    'tensorflow >= 1.1.0',\n    'wheel',\n]\n\nCONSOLE_SCRIPTS = [\n    'magenta.interfaces.midi.magenta_midi',\n    'magenta.interfaces.midi.midi_clock',\n    'magenta.models.drums_rnn.drums_rnn_create_dataset',\n    'magenta.models.drums_rnn.drums_rnn_generate',\n    'magenta.models.drums_rnn.drums_rnn_train',\n    'magenta.models.image_stylization.image_stylization_create_dataset',\n    'magenta.models.image_stylization.image_stylization_evaluate',\n    'magenta.models.image_stylization.image_stylization_finetune',\n    'magenta.models.image_stylization.image_stylization_train',\n    'magenta.models.image_stylization.image_stylization_transform',\n    'magenta.models.improv_rnn.improv_rnn_create_dataset',\n    'magenta.models.improv_rnn.improv_rnn_generate',\n    'magenta.models.improv_rnn.improv_rnn_train',\n    'magenta.models.melody_rnn.melody_rnn_create_dataset',\n    'magenta.models.melody_rnn.melody_rnn_generate',\n    'magenta.models.melody_rnn.melody_rnn_train',\n    'magenta.models.nsynth.wavenet.nsynth_generate',\n    'magenta.models.nsynth.wavenet.nsynth_save_embeddings',\n    'magenta.models.performance_rnn.performance_rnn_create_dataset',\n    'magenta.models.performance_rnn.performance_rnn_generate',\n    'magenta.models.performance_rnn.performance_rnn_train',\n    'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_create_dataset',\n    'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_generate',\n    'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_train',\n    'magenta.models.polyphony_rnn.polyphony_rnn_create_dataset',\n    'magenta.models.polyphony_rnn.polyphony_rnn_generate',\n    'magenta.models.polyphony_rnn.polyphony_rnn_train',\n    'magenta.models.rl_tuner.rl_tuner_train',\n    'magenta.models.sketch_rnn.sketch_rnn_train',\n    'magenta.scripts.convert_dir_to_note_sequences',\n]\n\nsetup(\n    name='magenta',\n    version=__version__,  # pylint: disable=undefined-variable\n    description='Use machine learning to create art and music',\n    long_description='',\n    url='https://magenta.tensorflow.org/',\n    author='Google Inc.',\n    author_email='opensource@google.com',\n    license='Apache 2',\n    # PyPI package information.\n    classifiers=[\n        'Development Status :: 4 - Beta',\n        'Intended Audience :: Developers',\n        'Intended Audience :: Education',\n        'Intended Audience :: Science/Research',\n        'License :: OSI Approved :: Apache Software License',\n        'Programming Language :: Python :: 2.7',\n        'Programming Language :: Python :: 3',\n        'Topic :: Scientific/Engineering :: Mathematics',\n        'Topic :: Software Development :: Libraries :: Python Modules',\n        'Topic :: Software Development :: Libraries',\n    ],\n    keywords='tensorflow machine learning magenta music art',\n\n    packages=find_packages(),\n    install_requires=REQUIRED_PACKAGES,\n    entry_points={\n        'console_scripts': ['%s = %s:console_entry_point' % (n, p) for n, p in\n                            ((s.split('.')[-1], s) for s in CONSOLE_SCRIPTS)],\n    },\n\n    include_package_data=True,\n    package_data={\n        'magenta': ['models/image_stylization/evaluation_images/*.jpg'],\n    },\n)\n", "path": "magenta/tools/pip/setup.py"}], "after_files": [{"content": "# Copyright 2016 Google Inc. 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\"\"\"A setuptools based setup module for magenta.\"\"\"\n\nfrom setuptools import find_packages\nfrom setuptools import setup\n\n# Bit of a hack to parse the version string stored in version.py without\n# executing __init__.py, which will end up requiring a bunch of dependencies to\n# execute (e.g., tensorflow, pretty_midi, etc.).\n# Makes the __version__ variable available.\nwith open('magenta/version.py') as in_file:\n    exec(in_file.read())\n\n\nREQUIRED_PACKAGES = [\n    'IPython',\n    'Pillow >= 3.4.2',\n    'bokeh >= 0.12.0',\n    'futures',\n    'intervaltree >= 2.1.0',\n    'matplotlib >= 1.5.3',\n    'mido == 1.2.6',\n    'numpy >= 1.11.0',\n    'pandas >= 0.18.1',\n    'pretty_midi >= 0.2.6',\n    'python-rtmidi',\n    'scipy >= 0.18.1',\n    'tensorflow >= 1.1.0',\n    'wheel',\n]\n\nCONSOLE_SCRIPTS = [\n    'magenta.interfaces.midi.magenta_midi',\n    'magenta.interfaces.midi.midi_clock',\n    'magenta.models.drums_rnn.drums_rnn_create_dataset',\n    'magenta.models.drums_rnn.drums_rnn_generate',\n    'magenta.models.drums_rnn.drums_rnn_train',\n    'magenta.models.image_stylization.image_stylization_create_dataset',\n    'magenta.models.image_stylization.image_stylization_evaluate',\n    'magenta.models.image_stylization.image_stylization_finetune',\n    'magenta.models.image_stylization.image_stylization_train',\n    'magenta.models.image_stylization.image_stylization_transform',\n    'magenta.models.improv_rnn.improv_rnn_create_dataset',\n    'magenta.models.improv_rnn.improv_rnn_generate',\n    'magenta.models.improv_rnn.improv_rnn_train',\n    'magenta.models.melody_rnn.melody_rnn_create_dataset',\n    'magenta.models.melody_rnn.melody_rnn_generate',\n    'magenta.models.melody_rnn.melody_rnn_train',\n    'magenta.models.nsynth.wavenet.nsynth_generate',\n    'magenta.models.nsynth.wavenet.nsynth_save_embeddings',\n    'magenta.models.performance_rnn.performance_rnn_create_dataset',\n    'magenta.models.performance_rnn.performance_rnn_generate',\n    'magenta.models.performance_rnn.performance_rnn_train',\n    'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_create_dataset',\n    'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_generate',\n    'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_train',\n    'magenta.models.polyphony_rnn.polyphony_rnn_create_dataset',\n    'magenta.models.polyphony_rnn.polyphony_rnn_generate',\n    'magenta.models.polyphony_rnn.polyphony_rnn_train',\n    'magenta.models.rl_tuner.rl_tuner_train',\n    'magenta.models.sketch_rnn.sketch_rnn_train',\n    'magenta.scripts.convert_dir_to_note_sequences',\n]\n\nsetup(\n    name='magenta',\n    version=__version__,  # pylint: disable=undefined-variable\n    description='Use machine learning to create art and music',\n    long_description='',\n    url='https://magenta.tensorflow.org/',\n    author='Google Inc.',\n    author_email='opensource@google.com',\n    license='Apache 2',\n    # PyPI package information.\n    classifiers=[\n        'Development Status :: 4 - Beta',\n        'Intended Audience :: Developers',\n        'Intended Audience :: Education',\n        'Intended Audience :: Science/Research',\n        'License :: OSI Approved :: Apache Software License',\n        'Programming Language :: Python :: 2.7',\n        'Programming Language :: Python :: 3',\n        'Topic :: Scientific/Engineering :: Mathematics',\n        'Topic :: Software Development :: Libraries :: Python Modules',\n        'Topic :: Software Development :: Libraries',\n    ],\n    keywords='tensorflow machine learning magenta music art',\n\n    packages=find_packages(),\n    install_requires=REQUIRED_PACKAGES,\n    entry_points={\n        'console_scripts': ['%s = %s:console_entry_point' % (n, p) for n, p in\n                            ((s.split('.')[-1], s) for s in CONSOLE_SCRIPTS)],\n    },\n\n    include_package_data=True,\n    package_data={\n        'magenta': ['models/image_stylization/evaluation_images/*.jpg'],\n    },\n)\n", "path": "magenta/tools/pip/setup.py"}]}