prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Fix pypi description
  See https://pypi.org/project/databricks-koalas/
  
  It just pulls in our entire README in markdown format.
  
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `setup.py`
  Content:
  ```
  1 #!/usr/bin/env python
  2 
  3 #
  4 # Copyright (C) 2019 Databricks, Inc.
  5 #
  6 # Licensed under the Apache License, Version 2.0 (the "License");
  7 # you may not use this file except in compliance with the License.
  8 # You may obtain a copy of the License at
  9 #
  10 #     http://www.apache.org/licenses/LICENSE-2.0
  11 #
  12 # Unless required by applicable law or agreed to in writing, software
  13 # distributed under the License is distributed on an "AS IS" BASIS,
  14 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  15 # See the License for the specific language governing permissions and
  16 # limitations under the License.
  17 #
  18 
  19 from setuptools import setup
  20 
  21 
  22 install_requires = [
  23     'pandas>=0.23',
  24     'decorator',
  25     'pyarrow>=0.10,<0.11',  # See https://github.com/databricks/spark-pandas/issues/26
  26 ]
  27 
  28 setup(
  29     name='databricks-koalas',
  30     version='0.0.6',
  31     packages=['databricks', 'databricks.koalas', 'databricks.koalas.dask',
  32               'databricks.koalas.missing'],
  33     extras_require={
  34         'spark': ['pyspark>=2.4.0'],
  35     },
  36     install_requires=install_requires,
  37     author="Timothy Hunter",
  38     author_email="tim@databricks.com",
  39     license='http://www.apache.org/licenses/LICENSE-2.0',
  40     long_description=open('README.md').read(),
  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()
  
  ```
  
golden_diff: diff --git a/setup.py b/setup.py
  --- a/setup.py
  +++ b/setup.py
  @@ -18,24 +18,46 @@
   
   from setuptools import setup
   
  +DESCRIPTION = "Pandas DataFrame API on Apache Spark"
   
  -install_requires = [
  -    'pandas>=0.23',
  -    'decorator',
  -    'pyarrow>=0.10,<0.11',  # See https://github.com/databricks/spark-pandas/issues/26
  -]
  +LONG_DESCRIPTION = """
  +Koalas makes data scientists more productive when interacting with big data,
  +by augmenting Apache Spark's Python DataFrame API to be compatible with
  +Pandas'.
  +
  +Pandas is the de facto standard (single-node) dataframe implementation in
  +Python, while Spark is the de facto standard for big data processing.
  +With this package, data scientists can:
  +
  +- Be immediately productive with Spark, with no learning curve, if one
  +  is already familiar with Pandas.
  +- Have a single codebase that works both with Pandas (tests, smaller datasets)
  +  and with Spark (distributed datasets).
  +"""
   
   setup(
  -    name='databricks-koalas',
  +    name='koalas',
       version='0.0.6',
       packages=['databricks', 'databricks.koalas', 'databricks.koalas.dask',
                 'databricks.koalas.missing'],
       extras_require={
           'spark': ['pyspark>=2.4.0'],
       },
  -    install_requires=install_requires,
  -    author="Timothy Hunter",
  -    author_email="tim@databricks.com",
  +    python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*',
  +    install_requires=[
  +        'pandas>=0.23',
  +        'decorator',
  +        'pyarrow>=0.10,<0.11',  # See https://github.com/databricks/spark-pandas/issues/26
  +    ],
  +    maintainer="Databricks",
  +    maintainer_email="pandas-on-spark@databricks.com",
       license='http://www.apache.org/licenses/LICENSE-2.0',
  -    long_description=open('README.md').read(),
  +    url="https://github.com/databricks/spark-pandas",
  +    project_urls={
  +        'Bug Tracker': 'https://github.com/databricks/spark-pandas/issues',
  +        # 'Documentation': '',
  +        'Source Code': 'https://github.com/databricks/spark-pandas'
  +    },
  +    description=DESCRIPTION,
  +    long_description=LONG_DESCRIPTION,
   )
  
verification_info: {"golden_diff": "diff --git a/setup.py b/setup.py\n--- a/setup.py\n+++ b/setup.py\n@@ -18,24 +18,46 @@\n \n from setuptools import setup\n \n+DESCRIPTION = \"Pandas DataFrame API on Apache Spark\"\n \n-install_requires = [\n-    'pandas>=0.23',\n-    'decorator',\n-    'pyarrow>=0.10,<0.11',  # See https://github.com/databricks/spark-pandas/issues/26\n-]\n+LONG_DESCRIPTION = \"\"\"\n+Koalas makes data scientists more productive when interacting with big data,\n+by augmenting Apache Spark's Python DataFrame API to be compatible with\n+Pandas'.\n+\n+Pandas is the de facto standard (single-node) dataframe implementation in\n+Python, while Spark is the de facto standard for big data processing.\n+With this package, data scientists can:\n+\n+- Be immediately productive with Spark, with no learning curve, if one\n+  is already familiar with Pandas.\n+- Have a single codebase that works both with Pandas (tests, smaller datasets)\n+  and with Spark (distributed datasets).\n+\"\"\"\n \n setup(\n-    name='databricks-koalas',\n+    name='koalas',\n     version='0.0.6',\n     packages=['databricks', 'databricks.koalas', 'databricks.koalas.dask',\n               'databricks.koalas.missing'],\n     extras_require={\n         'spark': ['pyspark>=2.4.0'],\n     },\n-    install_requires=install_requires,\n-    author=\"Timothy Hunter\",\n-    author_email=\"tim@databricks.com\",\n+    python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*',\n+    install_requires=[\n+        'pandas>=0.23',\n+        'decorator',\n+        'pyarrow>=0.10,<0.11',  # See https://github.com/databricks/spark-pandas/issues/26\n+    ],\n+    maintainer=\"Databricks\",\n+    maintainer_email=\"pandas-on-spark@databricks.com\",\n     license='http://www.apache.org/licenses/LICENSE-2.0',\n-    long_description=open('README.md').read(),\n+    url=\"https://github.com/databricks/spark-pandas\",\n+    project_urls={\n+        'Bug Tracker': 'https://github.com/databricks/spark-pandas/issues',\n+        # 'Documentation': '',\n+        'Source Code': 'https://github.com/databricks/spark-pandas'\n+    },\n+    description=DESCRIPTION,\n+    long_description=LONG_DESCRIPTION,\n )\n", "issue": "Fix pypi description\nSee https://pypi.org/project/databricks-koalas/\r\n\r\nIt just pulls in our entire README in markdown format.\r\n\n", "before_files": [{"content": "#!/usr/bin/env python\n\n#\n# Copyright (C) 2019 Databricks, Inc.\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#\n\nfrom setuptools import setup\n\n\ninstall_requires = [\n    'pandas>=0.23',\n    'decorator',\n    'pyarrow>=0.10,<0.11',  # See https://github.com/databricks/spark-pandas/issues/26\n]\n\nsetup(\n    name='databricks-koalas',\n    version='0.0.6',\n    packages=['databricks', 'databricks.koalas', 'databricks.koalas.dask',\n              'databricks.koalas.missing'],\n    extras_require={\n        'spark': ['pyspark>=2.4.0'],\n    },\n    install_requires=install_requires,\n    author=\"Timothy Hunter\",\n    author_email=\"tim@databricks.com\",\n    license='http://www.apache.org/licenses/LICENSE-2.0',\n    long_description=open('README.md').read(),\n)\n", "path": "setup.py"}], "after_files": [{"content": "#!/usr/bin/env python\n\n#\n# Copyright (C) 2019 Databricks, Inc.\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#\n\nfrom setuptools import setup\n\nDESCRIPTION = \"Pandas DataFrame API on Apache Spark\"\n\nLONG_DESCRIPTION = \"\"\"\nKoalas makes data scientists more productive when interacting with big data,\nby augmenting Apache Spark's Python DataFrame API to be compatible with\nPandas'.\n\nPandas is the de facto standard (single-node) dataframe implementation in\nPython, while Spark is the de facto standard for big data processing.\nWith this package, data scientists can:\n\n- Be immediately productive with Spark, with no learning curve, if one\n  is already familiar with Pandas.\n- Have a single codebase that works both with Pandas (tests, smaller datasets)\n  and with Spark (distributed datasets).\n\"\"\"\n\nsetup(\n    name='koalas',\n    version='0.0.6',\n    packages=['databricks', 'databricks.koalas', 'databricks.koalas.dask',\n              'databricks.koalas.missing'],\n    extras_require={\n        'spark': ['pyspark>=2.4.0'],\n    },\n    python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*',\n    install_requires=[\n        'pandas>=0.23',\n        'decorator',\n        'pyarrow>=0.10,<0.11',  # See https://github.com/databricks/spark-pandas/issues/26\n    ],\n    maintainer=\"Databricks\",\n    maintainer_email=\"pandas-on-spark@databricks.com\",\n    license='http://www.apache.org/licenses/LICENSE-2.0',\n    url=\"https://github.com/databricks/spark-pandas\",\n    project_urls={\n        'Bug Tracker': 'https://github.com/databricks/spark-pandas/issues',\n        # 'Documentation': '',\n        'Source Code': 'https://github.com/databricks/spark-pandas'\n    },\n    description=DESCRIPTION,\n    long_description=LONG_DESCRIPTION,\n)\n", "path": "setup.py"}]}