prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Cannot serialize datetime64/timedelta64 numpy arrays
  ```
  distributed.core - INFO - Unserializable Message: {'finalize-c29ed21fd1e79d8eb6b3ff89cf2ae354': <Serialize: ['2010-01-01T00:00:00.000000000' '2010-01-02T00:00:00.000000000'
   '2010-01-03T00:00:00.000000000']>}
  distributed.core - ERROR - cannot include dtype 'M' in a buffer
  Traceback (most recent call last):
    File "/Users/shoyer/dev/distributed/distributed/core.py", line 228, in write
      frames = protocol.dumps(msg)
    File "/Users/shoyer/dev/distributed/distributed/protocol/core.py", line 43, in dumps
      for key, value in data.items()
    File "/Users/shoyer/dev/distributed/distributed/protocol/core.py", line 44, in <dictcomp>
      if type(value) is Serialize}
    File "/Users/shoyer/dev/distributed/distributed/protocol/serialize.py", line 103, in serialize
      header, frames = serializers[name](x)
    File "/Users/shoyer/dev/distributed/distributed/protocol/numpy.py", line 58, in serialize_numpy_ndarray
      frames = [x.data]
  ValueError: cannot include dtype 'M' in a buffer
  ```
  
  The buffer protocol fails on these (sigh). You can view as int64, but then you'll need to keep track of the original type (including time units) separately.
  
  This came up in some of my integration tests with xarray.
  
  </issue>
  <code>
  [start of distributed/protocol/numpy.py]
  1 from __future__ import print_function, division, absolute_import
  2 
  3 import sys
  4 
  5 import numpy as np
  6 
  7 try:
  8     import blosc
  9     n = blosc.set_nthreads(2)
  10 except ImportError:
  11     blosc = False
  12 
  13 from .utils import frame_split_size
  14 from .serialize import register_serialization
  15 from . import pickle
  16 
  17 from ..utils import log_errors, ensure_bytes
  18 
  19 
  20 def itemsize(dt):
  21     """ Itemsize of dtype
  22 
  23     Try to return the itemsize of the base element, return 8 as a fallback
  24     """
  25     result = dt.base.itemsize
  26     if result > 255:
  27         result = 8
  28     return result
  29 
  30 
  31 def serialize_numpy_ndarray(x):
  32     if x.dtype.hasobject:
  33         header = {'pickle': True}
  34         frames = [pickle.dumps(x)]
  35         return header, frames
  36 
  37     size = itemsize(x.dtype)
  38 
  39     if x.dtype.kind == 'V':
  40         dt = x.dtype.descr
  41     else:
  42         dt = x.dtype.str
  43 
  44     x = np.ascontiguousarray(x)  # np.frombuffer requires this
  45 
  46     header = {'dtype': dt,
  47               'strides': x.strides,
  48               'shape': x.shape}
  49 
  50     if blosc:
  51         frames = frame_split_size([x.data])
  52         if sys.version_info.major == 2:
  53             frames = [ensure_bytes(frame) for frame in frames]
  54         frames = [blosc.compress(frame, typesize=size,
  55                                  cname='lz4', clevel=5) for frame in frames]
  56         header['compression'] = ['blosc'] * len(frames)
  57     else:
  58         frames = [x.data]
  59 
  60     header['lengths'] = [x.nbytes]
  61 
  62     return header, frames
  63 
  64 
  65 def deserialize_numpy_ndarray(header, frames):
  66     with log_errors():
  67         assert len(frames) == 1
  68 
  69         if header.get('pickle'):
  70             return pickle.loads(frames[0])
  71 
  72         dt = header['dtype']
  73         if isinstance(dt, tuple):
  74             dt = list(dt)
  75         dt = np.dtype(dt)
  76 
  77         buffer = frames[0]
  78 
  79         x = np.frombuffer(buffer, dt)
  80         x = np.lib.stride_tricks.as_strided(x, header['shape'], header['strides'])
  81 
  82         return x
  83 
  84 
  85 register_serialization(np.ndarray, serialize_numpy_ndarray, deserialize_numpy_ndarray)
  86
  [end of distributed/protocol/numpy.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/distributed/protocol/numpy.py b/distributed/protocol/numpy.py
  --- a/distributed/protocol/numpy.py
  +++ b/distributed/protocol/numpy.py
  @@ -47,15 +47,17 @@
                 'strides': x.strides,
                 'shape': x.shape}
   
  +    data = x.view('u1').data
  +
       if blosc:
  -        frames = frame_split_size([x.data])
  +        frames = frame_split_size([data])
           if sys.version_info.major == 2:
               frames = [ensure_bytes(frame) for frame in frames]
           frames = [blosc.compress(frame, typesize=size,
                                    cname='lz4', clevel=5) for frame in frames]
           header['compression'] = ['blosc'] * len(frames)
       else:
  -        frames = [x.data]
  +        frames = [data]
   
       header['lengths'] = [x.nbytes]
  
verification_info: {"golden_diff": "diff --git a/distributed/protocol/numpy.py b/distributed/protocol/numpy.py\n--- a/distributed/protocol/numpy.py\n+++ b/distributed/protocol/numpy.py\n@@ -47,15 +47,17 @@\n               'strides': x.strides,\n               'shape': x.shape}\n \n+    data = x.view('u1').data\n+\n     if blosc:\n-        frames = frame_split_size([x.data])\n+        frames = frame_split_size([data])\n         if sys.version_info.major == 2:\n             frames = [ensure_bytes(frame) for frame in frames]\n         frames = [blosc.compress(frame, typesize=size,\n                                  cname='lz4', clevel=5) for frame in frames]\n         header['compression'] = ['blosc'] * len(frames)\n     else:\n-        frames = [x.data]\n+        frames = [data]\n \n     header['lengths'] = [x.nbytes]\n", "issue": "Cannot serialize datetime64/timedelta64 numpy arrays\n```\r\ndistributed.core - INFO - Unserializable Message: {'finalize-c29ed21fd1e79d8eb6b3ff89cf2ae354': <Serialize: ['2010-01-01T00:00:00.000000000' '2010-01-02T00:00:00.000000000'\r\n '2010-01-03T00:00:00.000000000']>}\r\ndistributed.core - ERROR - cannot include dtype 'M' in a buffer\r\nTraceback (most recent call last):\r\n  File \"/Users/shoyer/dev/distributed/distributed/core.py\", line 228, in write\r\n    frames = protocol.dumps(msg)\r\n  File \"/Users/shoyer/dev/distributed/distributed/protocol/core.py\", line 43, in dumps\r\n    for key, value in data.items()\r\n  File \"/Users/shoyer/dev/distributed/distributed/protocol/core.py\", line 44, in <dictcomp>\r\n    if type(value) is Serialize}\r\n  File \"/Users/shoyer/dev/distributed/distributed/protocol/serialize.py\", line 103, in serialize\r\n    header, frames = serializers[name](x)\r\n  File \"/Users/shoyer/dev/distributed/distributed/protocol/numpy.py\", line 58, in serialize_numpy_ndarray\r\n    frames = [x.data]\r\nValueError: cannot include dtype 'M' in a buffer\r\n```\r\n\r\nThe buffer protocol fails on these (sigh). You can view as int64, but then you'll need to keep track of the original type (including time units) separately.\r\n\r\nThis came up in some of my integration tests with xarray.\n", "before_files": [{"content": "from __future__ import print_function, division, absolute_import\n\nimport sys\n\nimport numpy as np\n\ntry:\n    import blosc\n    n = blosc.set_nthreads(2)\nexcept ImportError:\n    blosc = False\n\nfrom .utils import frame_split_size\nfrom .serialize import register_serialization\nfrom . import pickle\n\nfrom ..utils import log_errors, ensure_bytes\n\n\ndef itemsize(dt):\n    \"\"\" Itemsize of dtype\n\n    Try to return the itemsize of the base element, return 8 as a fallback\n    \"\"\"\n    result = dt.base.itemsize\n    if result > 255:\n        result = 8\n    return result\n\n\ndef serialize_numpy_ndarray(x):\n    if x.dtype.hasobject:\n        header = {'pickle': True}\n        frames = [pickle.dumps(x)]\n        return header, frames\n\n    size = itemsize(x.dtype)\n\n    if x.dtype.kind == 'V':\n        dt = x.dtype.descr\n    else:\n        dt = x.dtype.str\n\n    x = np.ascontiguousarray(x)  # np.frombuffer requires this\n\n    header = {'dtype': dt,\n              'strides': x.strides,\n              'shape': x.shape}\n\n    if blosc:\n        frames = frame_split_size([x.data])\n        if sys.version_info.major == 2:\n            frames = [ensure_bytes(frame) for frame in frames]\n        frames = [blosc.compress(frame, typesize=size,\n                                 cname='lz4', clevel=5) for frame in frames]\n        header['compression'] = ['blosc'] * len(frames)\n    else:\n        frames = [x.data]\n\n    header['lengths'] = [x.nbytes]\n\n    return header, frames\n\n\ndef deserialize_numpy_ndarray(header, frames):\n    with log_errors():\n        assert len(frames) == 1\n\n        if header.get('pickle'):\n            return pickle.loads(frames[0])\n\n        dt = header['dtype']\n        if isinstance(dt, tuple):\n            dt = list(dt)\n        dt = np.dtype(dt)\n\n        buffer = frames[0]\n\n        x = np.frombuffer(buffer, dt)\n        x = np.lib.stride_tricks.as_strided(x, header['shape'], header['strides'])\n\n        return x\n\n\nregister_serialization(np.ndarray, serialize_numpy_ndarray, deserialize_numpy_ndarray)\n", "path": "distributed/protocol/numpy.py"}]}