


from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm


def    __lowerCamelCase   (      A__						: np.ndarray						,						A__						: np.ndarray					)     ->    float:
   return math.sqrt(sum(pow(a - b						,						2					) for a, b in zip(A__						,						A__					)					)					)


def    __lowerCamelCase   (      A__						: np.ndarray						,						A__						: np.ndarray					)     ->    list[list[list[float] | float]]:

   if dataset.ndim != value_array.ndim:
      lowerCamelCase_						:   Dict		= (
          """Wrong input data's dimensions... """
          f'''dataset : {dataset.ndim}, value_array : {value_array.ndim}'''
      )
      raise ValueError(A__					)

   try:
      if dataset.shape[1] != value_array.shape[1]:
         lowerCamelCase_						:   int		= (
             """Wrong input data's shape... """
             f'''dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}'''
         )
         raise ValueError(A__					)
   except IndexError:
      if dataset.ndim != value_array.ndim:
         raise TypeError("""Wrong shape"""					)

   if dataset.dtype != value_array.dtype:
      lowerCamelCase_						:   List[str]		= (
          """Input data have different datatype... """
          f'''dataset : {dataset.dtype}, value_array : {value_array.dtype}'''
      )
      raise TypeError(A__					)

   lowerCamelCase_						:   Any		= []

   for value in value_array:
      lowerCamelCase_						:   Optional[Any]		= euclidean(A__						,						dataset[0]					)
      lowerCamelCase_						:   Optional[int]		= dataset[0].tolist()

      for dataset_value in dataset[1:]:
         lowerCamelCase_						:   str		= euclidean(A__						,						A__					)

         if dist > temp_dist:
            lowerCamelCase_						:   str		= temp_dist
            lowerCamelCase_						:   List[Any]		= dataset_value.tolist()

      answer.append([vector, dist]					)

   return answer


def    __lowerCamelCase   (      A__						: np.ndarray						,						A__						: np.ndarray					)     ->    float:
   return np.dot(A__						,						A__					) / (norm(A__					) * norm(A__					))


if __name__ == "__main__":
      import doctest

      doctest.testmod()









import os

import pytest

from transformers.dynamic_module_utils import get_imports


snake_case__				:	List[Any]					       =					'\nimport os\n'

snake_case__				:	List[str]					       =					'\ndef foo():\n    import os\n    return False\n'

snake_case__				:	List[Any]					       =					'\ndef foo():\n    def bar():\n        if True:\n            import os\n        return False\n    return bar()\n'

snake_case__				:	List[str]					       =					'\nimport os\n\ntry:\n    import bar\nexcept ImportError:\n    raise ValueError()\n'

snake_case__				:	Optional[Any]					       =					'\nimport os\n\ndef foo():\n    try:\n        import bar\n    except ImportError:\n        raise ValueError()\n'

snake_case__				:	Tuple					       =					'\nimport os\n\ntry:\n    import bar\nexcept (ImportError, AttributeError):\n    raise ValueError()\n'

snake_case__				:	str					       =					'\nimport os\n\ntry:\n    import bar\nexcept ImportError as e:\n    raise ValueError()\n'

snake_case__				:	Optional[Any]					       =					'\nimport os\n\ntry:\n    import bar\nexcept:\n    raise ValueError()\n'

snake_case__				:	Any					       =					'\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    raise ValueError()\n'

snake_case__				:	Union[str, Any]					       =					'\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    x = 1\n    raise ValueError()\n'

snake_case__				:	Any					       =					[
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]


@pytest.mark.parametrize("""case"""						,						A__					)
def    __lowerCamelCase   (      A__						: Dict						,						A__						: int					)     ->    List[Any]:
   lowerCamelCase_						:   List[str]		= os.path.join(A__						,						"""test_file.py"""					)
   with open(A__						,						"""w"""					) as _tmp_file:
      _tmp_file.write(A__					)

   lowerCamelCase_						:   str		= get_imports(A__					)
   assert parsed_imports == ["os"]





