We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Use cleaner solution for non-truncating division in python 2
Prefer `from __future__ import division` to `1.*x/y`

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `examples/expectations/regex_based_column_map_expectation_template.py`
Content:
```
1 """
2 This is a template for creating custom RegexBasedColumnMapExpectations.
3 For detailed instructions on how to use it, please see:
4     https://docs.greatexpectations.io/docs/guides/expectations/creating_custom_expectations/how_to_create_custom_regex_based_column_map_expectations
5 """
6 
7 from typing import Dict, Optional
8 
9 from great_expectations.core.expectation_configuration import ExpectationConfiguration
10 from great_expectations.exceptions.exceptions import (
11     InvalidExpectationConfigurationError,
12 )
13 from great_expectations.expectations.regex_based_column_map_expectation import (
14     RegexBasedColumnMapExpectation,
15     RegexColumnMapMetricProvider,
16 )
17 
18 
19 # <snippet>
20 # This class defines the Expectation itself
21 class ExpectColumnValuesToMatchSomeRegex(RegexBasedColumnMapExpectation):
22     """TODO: Add a docstring here"""
23 
24     # These values will be used to configure the metric created by your expectation
25     regex_snake_name = "regex_name"
26     regex_camel_name = "RegexName"
27     regex = "regex pattern"
28     semantic_type_name_plural = None
29 
30     # These examples will be shown in the public gallery.
31     # They will also be executed as unit tests for your Expectation.
32     examples = []
33 
34     def validate_configuration(self, configuration: Optional[ExpectationConfiguration]):
35         """
36         Validates that a configuration has been set, and sets a configuration if it has yet to be set. Ensures that
37         necessary configuration arguments have been provided for the validation of the expectation.
38 
39         Args:
40             configuration (OPTIONAL[ExpectationConfiguration]): \
41                 An optional Expectation Configuration entry that will be used to configure the expectation
42         Returns:
43             True if the configuration has been validated successfully. Otherwise, raises an exception
44         """
45 
46         super().validate_configuration(configuration)
47         if configuration is None:
48             configuration = self.configuration
49 
50         # # Check other things in configuration.kwargs and raise Exceptions if needed
51         # try:
52         #     assert (
53         #         ...
54         #     ), "message"
55         #     assert (
56         #         ...
57         #     ), "message"
58         # except AssertionError as e:
59         #     raise InvalidExpectationConfigurationError(str(e))
60 
61         return True
62 
63     # Here your regex is used to create a custom metric for this expectation
64     map_metric = RegexBasedColumnMapExpectation.register_metric(
65         regex_snake_name=regex_snake_name,
66         regex_camel_name=regex_camel_name,
67         regex_=regex,
68     )
69 
70     # This object contains metadata for display in the public Gallery
71     library_metadata = {
72         "tags": [],  # Tags for this Expectation in the Gallery
73         "contributors": [  # Github handles for all contributors to this Expectation.
74             "@your_name_here",  # Don't forget to add your github handle here!
75         ],
76     }
77 
78 
79 # </snippet>
80 if __name__ == "__main__":
81     ExpectColumnValuesToMatchSomeRegex().print_diagnostic_checklist()
82
```
--- 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()

```

diff --git a/examples/expectations/regex_based_column_map_expectation_template.py b/examples/expectations/regex_based_column_map_expectation_template.py
--- a/examples/expectations/regex_based_column_map_expectation_template.py
+++ b/examples/expectations/regex_based_column_map_expectation_template.py
@@ -31,35 +31,6 @@
     # They will also be executed as unit tests for your Expectation.
     examples = []
 
-    def validate_configuration(self, configuration: Optional[ExpectationConfiguration]):
-        """
-        Validates that a configuration has been set, and sets a configuration if it has yet to be set. Ensures that
-        necessary configuration arguments have been provided for the validation of the expectation.
-
-        Args:
-            configuration (OPTIONAL[ExpectationConfiguration]): \
-                An optional Expectation Configuration entry that will be used to configure the expectation
-        Returns:
-            True if the configuration has been validated successfully. Otherwise, raises an exception
-        """
-
-        super().validate_configuration(configuration)
-        if configuration is None:
-            configuration = self.configuration
-
-        # # Check other things in configuration.kwargs and raise Exceptions if needed
-        # try:
-        #     assert (
-        #         ...
-        #     ), "message"
-        #     assert (
-        #         ...
-        #     ), "message"
-        # except AssertionError as e:
-        #     raise InvalidExpectationConfigurationError(str(e))
-
-        return True
-
     # Here your regex is used to create a custom metric for this expectation
     map_metric = RegexBasedColumnMapExpectation.register_metric(
         regex_snake_name=regex_snake_name,

{"golden_diff": "diff --git a/examples/expectations/regex_based_column_map_expectation_template.py b/examples/expectations/regex_based_column_map_expectation_template.py\n--- a/examples/expectations/regex_based_column_map_expectation_template.py\n+++ b/examples/expectations/regex_based_column_map_expectation_template.py\n@@ -31,35 +31,6 @@\n     # They will also be executed as unit tests for your Expectation.\n     examples = []\n \n-    def validate_configuration(self, configuration: Optional[ExpectationConfiguration]):\n-        \"\"\"\n-        Validates that a configuration has been set, and sets a configuration if it has yet to be set. Ensures that\n-        necessary configuration arguments have been provided for the validation of the expectation.\n-\n-        Args:\n-            configuration (OPTIONAL[ExpectationConfiguration]): \\\n-                An optional Expectation Configuration entry that will be used to configure the expectation\n-        Returns:\n-            True if the configuration has been validated successfully. Otherwise, raises an exception\n-        \"\"\"\n-\n-        super().validate_configuration(configuration)\n-        if configuration is None:\n-            configuration = self.configuration\n-\n-        # # Check other things in configuration.kwargs and raise Exceptions if needed\n-        # try:\n-        #     assert (\n-        #         ...\n-        #     ), \"message\"\n-        #     assert (\n-        #         ...\n-        #     ), \"message\"\n-        # except AssertionError as e:\n-        #     raise InvalidExpectationConfigurationError(str(e))\n-\n-        return True\n-\n     # Here your regex is used to create a custom metric for this expectation\n     map_metric = RegexBasedColumnMapExpectation.register_metric(\n         regex_snake_name=regex_snake_name,\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": "\"\"\"\nThis is a template for creating custom RegexBasedColumnMapExpectations.\nFor detailed instructions on how to use it, please see:\n    https://docs.greatexpectations.io/docs/guides/expectations/creating_custom_expectations/how_to_create_custom_regex_based_column_map_expectations\n\"\"\"\n\nfrom typing import Dict, Optional\n\nfrom great_expectations.core.expectation_configuration import ExpectationConfiguration\nfrom great_expectations.exceptions.exceptions import (\n    InvalidExpectationConfigurationError,\n)\nfrom great_expectations.expectations.regex_based_column_map_expectation import (\n    RegexBasedColumnMapExpectation,\n    RegexColumnMapMetricProvider,\n)\n\n\n# <snippet>\n# This class defines the Expectation itself\nclass ExpectColumnValuesToMatchSomeRegex(RegexBasedColumnMapExpectation):\n    \"\"\"TODO: Add a docstring here\"\"\"\n\n    # These values will be used to configure the metric created by your expectation\n    regex_snake_name = \"regex_name\"\n    regex_camel_name = \"RegexName\"\n    regex = \"regex pattern\"\n    semantic_type_name_plural = None\n\n    # These examples will be shown in the public gallery.\n    # They will also be executed as unit tests for your Expectation.\n    examples = []\n\n    def validate_configuration(self, configuration: Optional[ExpectationConfiguration]):\n        \"\"\"\n        Validates that a configuration has been set, and sets a configuration if it has yet to be set. Ensures that\n        necessary configuration arguments have been provided for the validation of the expectation.\n\n        Args:\n            configuration (OPTIONAL[ExpectationConfiguration]): \\\n                An optional Expectation Configuration entry that will be used to configure the expectation\n        Returns:\n            True if the configuration has been validated successfully. Otherwise, raises an exception\n        \"\"\"\n\n        super().validate_configuration(configuration)\n        if configuration is None:\n            configuration = self.configuration\n\n        # # Check other things in configuration.kwargs and raise Exceptions if needed\n        # try:\n        #     assert (\n        #         ...\n        #     ), \"message\"\n        #     assert (\n        #         ...\n        #     ), \"message\"\n        # except AssertionError as e:\n        #     raise InvalidExpectationConfigurationError(str(e))\n\n        return True\n\n    # Here your regex is used to create a custom metric for this expectation\n    map_metric = RegexBasedColumnMapExpectation.register_metric(\n        regex_snake_name=regex_snake_name,\n        regex_camel_name=regex_camel_name,\n        regex_=regex,\n    )\n\n    # This object contains metadata for display in the public Gallery\n    library_metadata = {\n        \"tags\": [],  # Tags for this Expectation in the Gallery\n        \"contributors\": [  # Github handles for all contributors to this Expectation.\n            \"@your_name_here\",  # Don't forget to add your github handle here!\n        ],\n    }\n\n\n# </snippet>\nif __name__ == \"__main__\":\n    ExpectColumnValuesToMatchSomeRegex().print_diagnostic_checklist()\n", "path": "examples/expectations/regex_based_column_map_expectation_template.py"}], "after_files": [{"content": "\"\"\"\nThis is a template for creating custom RegexBasedColumnMapExpectations.\nFor detailed instructions on how to use it, please see:\n    https://docs.greatexpectations.io/docs/guides/expectations/creating_custom_expectations/how_to_create_custom_regex_based_column_map_expectations\n\"\"\"\n\nfrom typing import Dict, Optional\n\nfrom great_expectations.core.expectation_configuration import ExpectationConfiguration\nfrom great_expectations.exceptions.exceptions import (\n    InvalidExpectationConfigurationError,\n)\nfrom great_expectations.expectations.regex_based_column_map_expectation import (\n    RegexBasedColumnMapExpectation,\n    RegexColumnMapMetricProvider,\n)\n\n\n# <snippet>\n# This class defines the Expectation itself\nclass ExpectColumnValuesToMatchSomeRegex(RegexBasedColumnMapExpectation):\n    \"\"\"TODO: Add a docstring here\"\"\"\n\n    # These values will be used to configure the metric created by your expectation\n    regex_snake_name = \"regex_name\"\n    regex_camel_name = \"RegexName\"\n    regex = \"regex pattern\"\n    semantic_type_name_plural = None\n\n    # These examples will be shown in the public gallery.\n    # They will also be executed as unit tests for your Expectation.\n    examples = []\n\n    # Here your regex is used to create a custom metric for this expectation\n    map_metric = RegexBasedColumnMapExpectation.register_metric(\n        regex_snake_name=regex_snake_name,\n        regex_camel_name=regex_camel_name,\n        regex_=regex,\n    )\n\n    # This object contains metadata for display in the public Gallery\n    library_metadata = {\n        \"tags\": [],  # Tags for this Expectation in the Gallery\n        \"contributors\": [  # Github handles for all contributors to this Expectation.\n            \"@your_name_here\",  # Don't forget to add your github handle here!\n        ],\n    }\n\n\n# </snippet>\nif __name__ == \"__main__\":\n    ExpectColumnValuesToMatchSomeRegex().print_diagnostic_checklist()\n", "path": "examples/expectations/regex_based_column_map_expectation_template.py"}]}