prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Use cleaner solution for non-truncating division in python 2
  Prefer `from __future__ import division` to `1.*x/y`
  
  </issue>
  <code>
  [start of contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py]
  1 # Make sure to include any Expectations your want exported below!
  2 
  3 from .expect_column_values_confidence_for_data_label_to_be_greater_than_or_equal_to_threshold import (
  4     ExpectColumnValuesConfidenceForDataLabelToBeGreaterThanOrEqualToThreshold,
  5 )
  6 from .expect_column_values_confidence_for_data_label_to_be_less_than_or_equal_to_threshold import (
  7     ExpectColumnValuesConfidenceForDataLabelToBeLessThanOrEqualToThreshold,
  8 )
  9 from .expect_column_values_to_be_equal_to_or_greater_than_profile_min import (
  10     ExpectColumnValuesToBeEqualToOrGreaterThanProfileMin,
  11 )
  12 from .expect_column_values_to_be_equal_to_or_less_than_profile_max import (
  13     ExpectColumnValuesToBeEqualToOrLessThanProfileMax,
  14 )
  15 from .expect_column_values_to_be_probabilistically_greater_than_or_equal_to_threshold import (
  16     ExpectColumnValuesToBeProbabilisticallyGreaterThanOrEqualToThreshold,
  17 )
  18 from .expect_profile_numeric_columns_diff_between_threshold_range import (
  19     ExpectProfileNumericColumnsDiffBetweenThresholdRange
  20 )
  21
  [end of contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.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/contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py b/contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py
  --- a/contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py
  +++ b/contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py
  @@ -16,5 +16,5 @@
       ExpectColumnValuesToBeProbabilisticallyGreaterThanOrEqualToThreshold,
   )
   from .expect_profile_numeric_columns_diff_between_threshold_range import (
  -    ExpectProfileNumericColumnsDiffBetweenThresholdRange
  +    ExpectProfileNumericColumnsDiffBetweenThresholdRange,
   )
  
verification_info: {"golden_diff": "diff --git a/contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py b/contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py\n--- a/contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py\n+++ b/contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py\n@@ -16,5 +16,5 @@\n     ExpectColumnValuesToBeProbabilisticallyGreaterThanOrEqualToThreshold,\n )\n from .expect_profile_numeric_columns_diff_between_threshold_range import (\n-    ExpectProfileNumericColumnsDiffBetweenThresholdRange\n+    ExpectProfileNumericColumnsDiffBetweenThresholdRange,\n )\n", "issue": "Use cleaner solution for non-truncating division in python 2\nPrefer `from __future__ import division` to `1.*x/y`\n", "before_files": [{"content": "# Make sure to include any Expectations your want exported below!\n\nfrom .expect_column_values_confidence_for_data_label_to_be_greater_than_or_equal_to_threshold import (\n    ExpectColumnValuesConfidenceForDataLabelToBeGreaterThanOrEqualToThreshold,\n)\nfrom .expect_column_values_confidence_for_data_label_to_be_less_than_or_equal_to_threshold import (\n    ExpectColumnValuesConfidenceForDataLabelToBeLessThanOrEqualToThreshold,\n)\nfrom .expect_column_values_to_be_equal_to_or_greater_than_profile_min import (\n    ExpectColumnValuesToBeEqualToOrGreaterThanProfileMin,\n)\nfrom .expect_column_values_to_be_equal_to_or_less_than_profile_max import (\n    ExpectColumnValuesToBeEqualToOrLessThanProfileMax,\n)\nfrom .expect_column_values_to_be_probabilistically_greater_than_or_equal_to_threshold import (\n    ExpectColumnValuesToBeProbabilisticallyGreaterThanOrEqualToThreshold,\n)\nfrom .expect_profile_numeric_columns_diff_between_threshold_range import (\n    ExpectProfileNumericColumnsDiffBetweenThresholdRange\n)\n", "path": "contrib/capitalone_dataprofiler_expectations/capitalone_dataprofiler_expectations/expectations/__init__.py"}]}