prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <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.
  
  </issue>
  <code>
  [start of setup.py]
  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 of setup.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
  @@ -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"}]}