




'''simple docstring'''


import math

class     A					:







							def      __lowerCAmelCase    (						self :						Dict							,    lowerCAmelCase_ :						list[list[float]]							,    lowerCAmelCase_ :						list[int]      )    ->							int:


														"""simple docstring"""


														_a			  =       0.0
														_a			  =       0.0
														for i in range(len(lowerCAmelCase_      )      ):
																					da += math.pow((sample[i] - weights[0][i])							,    2      )
																					da += math.pow((sample[i] - weights[1][i])							,    2      )
																					return 0 if da > da else 1
														return 0







							def      __lowerCAmelCase    (						self :						str							,    lowerCAmelCase_ :						list[list[int | float]]							,    lowerCAmelCase_ :						list[int]							,    lowerCAmelCase_ :						int							,    lowerCAmelCase_ :						float      )    ->							list[list[int | float]]:


														"""simple docstring"""


														for i in range(len(lowerCAmelCase_      )      ):
																					weights[j][i] += alpha * (sample[i] - weights[j][i])
														return weights



def 	snake_case_					():





							'''simple docstring'''


							_a			  =       [[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

							# weight initialization ( n, C )
							_a			  =       [[0.2, 0.6, 0.5, 0.9], [0.8, 0.4, 0.7, 0.3]]

							# training
							_a			  =       SelfOrganizingMap()
							_a			  =       3
							_a			  =       0.5

							for _ in range(UpperCamelCase   ):
														for j in range(len(UpperCamelCase   )   ):
																					# training sample
																					_a			  =       training_samples[j]

																					# Compute the winning vector
																					_a			  =       self_organizing_map.get_winner(UpperCamelCase				,		UpperCamelCase   )

																					# Update the winning vector
																					_a			  =       self_organizing_map.update(UpperCamelCase				,		UpperCamelCase				,		UpperCamelCase				,		UpperCamelCase   )

    # classify test sample
							_a			  =       [0, 0, 0, 1]
							_a			  =       self_organizing_map.get_winner(UpperCamelCase				,		UpperCamelCase   )

							# results
							print(f'Clusters that the test sample belongs to : {winner}'   )
							print(f'Weights that have been trained : {weights}'   )


# running the main() function
if __name__ == "__main__":
				main()







'''simple docstring'''


import os

import pytest

from transformers.dynamic_module_utils import get_imports


_snake_case   :   List[str]     							=	'\nimport os\n'

_snake_case   :   Dict     							=	'\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   :   Dict     							=	'\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   :   Optional[Any]     							=	'\nimport os\n\ntry:\n    import bar\nexcept (ImportError, AttributeError):\n    raise ValueError()\n'

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

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

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

_snake_case   :   Any     							=	'\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    x = 1\n    raise ValueError()\n'

_snake_case   :   Union[str, 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'''				,		UpperCamelCase   )
def 	snake_case_					(UpperCamelCase :						str				,		UpperCamelCase :						List[Any]   ):





							'''simple docstring'''


							_a			  =       os.path.join(UpperCamelCase				,		'''test_file.py'''   )
							with open(UpperCamelCase				,		'''w'''   ) as _tmp_file:
														_tmp_file.write(UpperCamelCase   )

							_a			  =       get_imports(UpperCamelCase   )
							assert parsed_imports == ["os"]

