



import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(".")




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						test_file.split(os.path.sep)
     if components[0:2] != ["tests", "models"]:
          raise ValueError(
              '''`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got '''
              F'''{test_file} instead.''')
     _a											=						components[-1]
     if not test_fn.endswith('''py'''):
          raise ValueError(F'''`test_file` should be a python file. Got {test_fn} instead.''')
     if not test_fn.startswith('''test_modeling_'''):
          raise ValueError(
              F'''`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead.''')

     _a											=						components[:-1] + [test_fn.replace('''.py'''						,			'''''')]
     _a											=						'''.'''.join(__A)

     return test_module_path




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						get_module_path(__A)
     _a											=						importlib.import_module(__A)

     return test_module




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						[]
     _a											=						get_test_module(__A)
     for attr in dir(__A):
          if attr.endswith('''ModelTester'''):
               tester_classes.append(getattr(__A						,			__A))

    # sort with class names
     return sorted(__A						,			key=lambda __A: x.__name__)




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						[]
     _a											=						get_test_module(__A)
     for attr in dir(__A):
          _a											=						getattr(__A						,			__A)
          # (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
          # `all_model_classes` is not empty (which also excludes other special classes).
          _a											=						getattr(__A						,			'''all_model_classes'''						,			[])
          if len(__A) > 0:
               test_classes.append(__A)

    # sort with class names
     return sorted(__A						,			key=lambda __A: x.__name__)




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						get_test_classes(__A)
     _a											=						set()
     for test_class in test_classes:
          model_classes.update(test_class.all_model_classes)

     # sort with class names
     return sorted(__A						,			key=lambda __A: x.__name__)




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						test_class()
     if hasattr(__A						,			'''setUp'''):
          test.setUp()

     _a											=						None
     if hasattr(__A						,			'''model_tester'''):
          # `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
          if test.model_tester is not None:
               _a											=						test.model_tester.__class__

     return model_tester




def lowerCAmelCase						(__A						,			__A):



     """simple docstring"""



     _a											=						get_test_classes(__A)

     _a											=						[]
     for test_class in test_classes:
          if model_class in test_class.all_model_classes:
               target_test_classes.append(__A)

    # sort with class names
     return sorted(__A						,			key=lambda __A: x.__name__)




def lowerCAmelCase						(__A						,			__A):



     """simple docstring"""



     _a											=						get_test_classes_for_model(__A						,			__A)

     _a											=						[]
     for test_class in test_classes:
          _a											=						get_model_tester_from_test_class(__A)
          if tester_class is not None:
               tester_classes.append(__A)

    # sort with class names
     return sorted(__A						,			key=lambda __A: x.__name__)




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						get_test_classes(__A)
     _a											=						{test_class: get_model_tester_from_test_class(__A) for test_class in test_classes}
     return test_tester_mapping




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						get_model_classes(__A)
     _a											=						{
         model_class: get_test_classes_for_model(__A						,			__A) for model_class in model_classes
     }
     return model_test_mapping




def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						get_model_classes(__A)
     _a											=						{
         model_class: get_tester_classes_for_model(__A						,			__A) for model_class in model_classes
     }
     return model_to_tester_mapping




def lowerCAmelCase						(__A):



     """simple docstring"""



     if isinstance(__A						,			__A):
          return o
     elif isinstance(__A						,			__A):
          return o.__name__
     elif isinstance(__A						,			(list, tuple)):
          return [to_json(__A) for x in o]
     elif isinstance(__A						,			__A):
          return {to_json(__A): to_json(__A) for k, v in o.items()}
     else:
          return o








'''simple docstring'''





from __future__ import annotations

import typing
from collections.abc import Iterable

import numpy as np

lowercase_	 =						typing.Union[Iterable[float], Iterable[int], np.ndarray]  # noqa: UP007
lowercase_	 =						typing.Union[np.floataa, int, float]  # noqa: UP007




def lowerCAmelCase						(__A						,			__A):



     """simple docstring"""



     return np.sqrt(np.sum((np.asarray(__A) - np.asarray(__A)) ** 2))




def lowerCAmelCase						(__A						,			__A):



     """simple docstring"""



     return sum((va - va) ** 2 for va, va in zip(__A						,			__A)) ** (1 / 2)


if __name__ == "__main__":




  def lowerCAmelCase						():



       """simple docstring"""



       from timeit import timeit

       print('''Without Numpy''')
       print(
           timeit(
               '''euclidean_distance_no_np([1, 2, 3], [4, 5, 6])'''						,			number=10_000						,			globals=globals()						,			))
       print('''With Numpy''')
       print(
           timeit(
               '''euclidean_distance([1, 2, 3], [4, 5, 6])'''						,			number=10_000						,			globals=globals()						,			))
  benchmark()



