prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Numpy 1.16 support for future read_hdf
  Due to this issue (https://github.com/PyTables/PyTables/issues/717) it seems that, at least on my host machine, the latest version of numpy is needed to store and play with large datasets using hdf5. Naturally, I would love to use modin (ray) for these purposes and but realized that modin runs with numpy<=1.15.
  
  I downloaded the source of Ray from github to test to see if numpy 1.15+ was supported and it seems that tests were failing for numpy 1.16.1. I was curious if modin planned to support higher versions of numpy in the near term as would be required to interplay with py tables.
  
  --- 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 from __future__ import absolute_import
  2 from __future__ import division
  3 from __future__ import print_function
  4 
  5 from setuptools import setup, find_packages
  6 
  7 with open("README.md", "r", encoding="utf8") as fh:
  8     long_description = fh.read()
  9 
  10 setup(
  11     name="modin",
  12     version="0.4.0",
  13     description="Modin: Make your pandas code run faster by changing one line of code.",
  14     packages=find_packages(),
  15     url="https://github.com/modin-project/modin",
  16     long_description=long_description,
  17     long_description_content_type="text/markdown",
  18     install_requires=["pandas==0.24.1", "ray==0.6.2", "numpy<=1.15.0", "typing"],
  19     extras_require={
  20         # can be installed by pip install modin[dask]
  21         "dask": ["dask==1.0.0", "distributed==1.25.0"],
  22     },
  23 )
  24
  ```
  --- 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
  @@ -15,9 +15,9 @@
       url="https://github.com/modin-project/modin",
       long_description=long_description,
       long_description_content_type="text/markdown",
  -    install_requires=["pandas==0.24.1", "ray==0.6.2", "numpy<=1.15.0", "typing"],
  +    install_requires=["pandas==0.24.1", "ray==0.6.2", "typing"],
       extras_require={
           # can be installed by pip install modin[dask]
  -        "dask": ["dask==1.0.0", "distributed==1.25.0"],
  +        "dask": ["dask==1.1.0", "distributed==1.25.0"],
       },
   )
  
verification_info: {"golden_diff": "diff --git a/setup.py b/setup.py\n--- a/setup.py\n+++ b/setup.py\n@@ -15,9 +15,9 @@\n     url=\"https://github.com/modin-project/modin\",\n     long_description=long_description,\n     long_description_content_type=\"text/markdown\",\n-    install_requires=[\"pandas==0.24.1\", \"ray==0.6.2\", \"numpy<=1.15.0\", \"typing\"],\n+    install_requires=[\"pandas==0.24.1\", \"ray==0.6.2\", \"typing\"],\n     extras_require={\n         # can be installed by pip install modin[dask]\n-        \"dask\": [\"dask==1.0.0\", \"distributed==1.25.0\"],\n+        \"dask\": [\"dask==1.1.0\", \"distributed==1.25.0\"],\n     },\n )\n", "issue": "Numpy 1.16 support for future read_hdf\nDue to this issue (https://github.com/PyTables/PyTables/issues/717) it seems that, at least on my host machine, the latest version of numpy is needed to store and play with large datasets using hdf5. Naturally, I would love to use modin (ray) for these purposes and but realized that modin runs with numpy<=1.15.\r\n\r\nI downloaded the source of Ray from github to test to see if numpy 1.15+ was supported and it seems that tests were failing for numpy 1.16.1. I was curious if modin planned to support higher versions of numpy in the near term as would be required to interplay with py tables.\n", "before_files": [{"content": "from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nfrom setuptools import setup, find_packages\n\nwith open(\"README.md\", \"r\", encoding=\"utf8\") as fh:\n    long_description = fh.read()\n\nsetup(\n    name=\"modin\",\n    version=\"0.4.0\",\n    description=\"Modin: Make your pandas code run faster by changing one line of code.\",\n    packages=find_packages(),\n    url=\"https://github.com/modin-project/modin\",\n    long_description=long_description,\n    long_description_content_type=\"text/markdown\",\n    install_requires=[\"pandas==0.24.1\", \"ray==0.6.2\", \"numpy<=1.15.0\", \"typing\"],\n    extras_require={\n        # can be installed by pip install modin[dask]\n        \"dask\": [\"dask==1.0.0\", \"distributed==1.25.0\"],\n    },\n)\n", "path": "setup.py"}], "after_files": [{"content": "from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nfrom setuptools import setup, find_packages\n\nwith open(\"README.md\", \"r\", encoding=\"utf8\") as fh:\n    long_description = fh.read()\n\nsetup(\n    name=\"modin\",\n    version=\"0.4.0\",\n    description=\"Modin: Make your pandas code run faster by changing one line of code.\",\n    packages=find_packages(),\n    url=\"https://github.com/modin-project/modin\",\n    long_description=long_description,\n    long_description_content_type=\"text/markdown\",\n    install_requires=[\"pandas==0.24.1\", \"ray==0.6.2\", \"typing\"],\n    extras_require={\n        # can be installed by pip install modin[dask]\n        \"dask\": [\"dask==1.1.0\", \"distributed==1.25.0\"],\n    },\n)\n", "path": "setup.py"}]}