We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
numpy dependency missing?
magenta/models/sketch_rnn/utils.py has ```import numpy as np```, but magenta/tools/pip/setup.py doesn't list it as a dependency.

--- 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     'pandas >= 0.18.1',
35     'pretty_midi >= 0.2.6',
36     'python-rtmidi',
37     'scipy >= 0.18.1',
38     'tensorflow >= 1.1.0',
39     'wheel',
40 ]
41 
42 CONSOLE_SCRIPTS = [
43     'magenta.interfaces.midi.magenta_midi',
44     'magenta.interfaces.midi.midi_clock',
45     'magenta.models.drums_rnn.drums_rnn_create_dataset',
46     'magenta.models.drums_rnn.drums_rnn_generate',
47     'magenta.models.drums_rnn.drums_rnn_train',
48     'magenta.models.image_stylization.image_stylization_create_dataset',
49     'magenta.models.image_stylization.image_stylization_evaluate',
50     'magenta.models.image_stylization.image_stylization_finetune',
51     'magenta.models.image_stylization.image_stylization_train',
52     'magenta.models.image_stylization.image_stylization_transform',
53     'magenta.models.improv_rnn.improv_rnn_create_dataset',
54     'magenta.models.improv_rnn.improv_rnn_generate',
55     'magenta.models.improv_rnn.improv_rnn_train',
56     'magenta.models.melody_rnn.melody_rnn_create_dataset',
57     'magenta.models.melody_rnn.melody_rnn_generate',
58     'magenta.models.melody_rnn.melody_rnn_train',
59     'magenta.models.nsynth.wavenet.nsynth_generate',
60     'magenta.models.nsynth.wavenet.nsynth_save_embeddings',
61     'magenta.models.performance_rnn.performance_rnn_create_dataset',
62     'magenta.models.performance_rnn.performance_rnn_generate',
63     'magenta.models.performance_rnn.performance_rnn_train',
64     'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_create_dataset',
65     'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_generate',
66     'magenta.models.pianoroll_rnn_nade.pianoroll_rnn_nade_train',
67     'magenta.models.polyphony_rnn.polyphony_rnn_create_dataset',
68     'magenta.models.polyphony_rnn.polyphony_rnn_generate',
69     'magenta.models.polyphony_rnn.polyphony_rnn_train',
70     'magenta.models.rl_tuner.rl_tuner_train',
71     'magenta.models.sketch_rnn.sketch_rnn_train',
72     'magenta.scripts.convert_dir_to_note_sequences',
73 ]
74 
75 setup(
76     name='magenta',
77     version=__version__,  # pylint: disable=undefined-variable
78     description='Use machine learning to create art and music',
79     long_description='',
80     url='https://magenta.tensorflow.org/',
81     author='Google Inc.',
82     author_email='opensource@google.com',
83     license='Apache 2',
84     # PyPI package information.
85     classifiers=[
86         'Development Status :: 4 - Beta',
87         'Intended Audience :: Developers',
88         'Intended Audience :: Education',
89         'Intended Audience :: Science/Research',
90         'License :: OSI Approved :: Apache Software License',
91         'Programming Language :: Python :: 2.7',
92         'Topic :: Scientific/Engineering :: Mathematics',
93         'Topic :: Software Development :: Libraries :: Python Modules',
94         'Topic :: Software Development :: Libraries',
95     ],
96     keywords='tensorflow machine learning magenta music art',
97 
98     packages=find_packages(),
99     install_requires=REQUIRED_PACKAGES,
100     entry_points={
101         'console_scripts': ['%s = %s:console_entry_point' % (n, p) for n, p in
102                             ((s.split('.')[-1], s) for s in CONSOLE_SCRIPTS)],
103     },
104 
105     include_package_data=True,
106     package_data={
107         'magenta': ['models/image_stylization/evaluation_images/*.jpg'],
108     },
109 )
110
```
--- 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/magenta/tools/pip/setup.py b/magenta/tools/pip/setup.py
--- a/magenta/tools/pip/setup.py
+++ b/magenta/tools/pip/setup.py
@@ -31,6 +31,7 @@
     'intervaltree >= 2.1.0',
     'matplotlib >= 1.5.3',
     'mido == 1.2.6',
+    'numpy >= 1.11.0',
     'pandas >= 0.18.1',
     'pretty_midi >= 0.2.6',
     'python-rtmidi',

{"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@@ -31,6 +31,7 @@\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", "issue": "numpy dependency missing?\nmagenta/models/sketch_rnn/utils.py has ```import numpy as np```, but magenta/tools/pip/setup.py doesn't list it as a dependency.\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    '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        '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.\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        '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"}]}