prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Lots of Commandline Output from this line.
  
  https://github.com/facebookresearch/fairscale/blob/2350968ee61a6f9ca6ecd24aba9db536e814a24c/fairscale/internal/version.py#L27
  
  this warning appears a LOT in the commandline output when training. Can we remove it or place it in a place where it gets only shown once at the start?
  
  
  </issue>
  <code>
  [start of fairscale/internal/version.py]
  1 # Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
  2 #
  3 # This source code is licensed under the BSD license found in the
  4 # LICENSE file in the root directory of this source tree.
  5 
  6 import logging
  7 import re
  8 from typing import List, Tuple
  9 
  10 import torch
  11 
  12 __all__: List[str] = ["torch_version"]
  13 
  14 
  15 def torch_version(version: str = torch.__version__) -> Tuple[int, ...]:
  16     numbering = re.search(r"^(\d+).(\d+).(\d+)([^\+]*)(\+\S*)?$", version)
  17     if not numbering:
  18         return tuple()
  19     # Catch torch version if run against internal pre-releases, like `1.8.0a0fb`,
  20     if numbering.group(4):
  21         # Two options here:
  22         # - either skip this version (minor number check is not relevant)
  23         # - or check that our codebase is not broken by this ongoing development.
  24 
  25         # Assuming that we're interested in the second use-case more than the first,
  26         # return the pre-release or dev numbering
  27         logging.warning(f"Pytorch pre-release version {version} - assuming intent to test it")
  28 
  29     return tuple(int(numbering.group(n)) for n in range(1, 4))
  30
  [end of fairscale/internal/version.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/fairscale/internal/version.py b/fairscale/internal/version.py
  --- a/fairscale/internal/version.py
  +++ b/fairscale/internal/version.py
  @@ -11,13 +11,15 @@
   
   __all__: List[str] = ["torch_version"]
   
  +_logged = False
   
   def torch_version(version: str = torch.__version__) -> Tuple[int, ...]:
       numbering = re.search(r"^(\d+).(\d+).(\d+)([^\+]*)(\+\S*)?$", version)
       if not numbering:
           return tuple()
       # Catch torch version if run against internal pre-releases, like `1.8.0a0fb`,
  -    if numbering.group(4):
  +    global _logged
  +    if numbering.group(4) and not _logged:
           # Two options here:
           # - either skip this version (minor number check is not relevant)
           # - or check that our codebase is not broken by this ongoing development.
  @@ -25,5 +27,6 @@
           # Assuming that we're interested in the second use-case more than the first,
           # return the pre-release or dev numbering
           logging.warning(f"Pytorch pre-release version {version} - assuming intent to test it")
  +        _logged = True
   
       return tuple(int(numbering.group(n)) for n in range(1, 4))
  
verification_info: {"golden_diff": "diff --git a/fairscale/internal/version.py b/fairscale/internal/version.py\n--- a/fairscale/internal/version.py\n+++ b/fairscale/internal/version.py\n@@ -11,13 +11,15 @@\n \n __all__: List[str] = [\"torch_version\"]\n \n+_logged = False\n \n def torch_version(version: str = torch.__version__) -> Tuple[int, ...]:\n     numbering = re.search(r\"^(\\d+).(\\d+).(\\d+)([^\\+]*)(\\+\\S*)?$\", version)\n     if not numbering:\n         return tuple()\n     # Catch torch version if run against internal pre-releases, like `1.8.0a0fb`,\n-    if numbering.group(4):\n+    global _logged\n+    if numbering.group(4) and not _logged:\n         # Two options here:\n         # - either skip this version (minor number check is not relevant)\n         # - or check that our codebase is not broken by this ongoing development.\n@@ -25,5 +27,6 @@\n         # Assuming that we're interested in the second use-case more than the first,\n         # return the pre-release or dev numbering\n         logging.warning(f\"Pytorch pre-release version {version} - assuming intent to test it\")\n+        _logged = True\n \n     return tuple(int(numbering.group(n)) for n in range(1, 4))\n", "issue": "Lots of Commandline Output from this line.\n\r\nhttps://github.com/facebookresearch/fairscale/blob/2350968ee61a6f9ca6ecd24aba9db536e814a24c/fairscale/internal/version.py#L27\r\n\r\nthis warning appears a LOT in the commandline output when training. Can we remove it or place it in a place where it gets only shown once at the start?\r\n\n", "before_files": [{"content": "# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.\n#\n# This source code is licensed under the BSD license found in the\n# LICENSE file in the root directory of this source tree.\n\nimport logging\nimport re\nfrom typing import List, Tuple\n\nimport torch\n\n__all__: List[str] = [\"torch_version\"]\n\n\ndef torch_version(version: str = torch.__version__) -> Tuple[int, ...]:\n    numbering = re.search(r\"^(\\d+).(\\d+).(\\d+)([^\\+]*)(\\+\\S*)?$\", version)\n    if not numbering:\n        return tuple()\n    # Catch torch version if run against internal pre-releases, like `1.8.0a0fb`,\n    if numbering.group(4):\n        # Two options here:\n        # - either skip this version (minor number check is not relevant)\n        # - or check that our codebase is not broken by this ongoing development.\n\n        # Assuming that we're interested in the second use-case more than the first,\n        # return the pre-release or dev numbering\n        logging.warning(f\"Pytorch pre-release version {version} - assuming intent to test it\")\n\n    return tuple(int(numbering.group(n)) for n in range(1, 4))\n", "path": "fairscale/internal/version.py"}]}