
"""simple docstring"""
from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase						):
						return math.sqrt(sum(pow(a - b ,    2						) for a, b in zip(_lowerCAmelCase ,    _lowerCAmelCase						)						)						)

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase						):

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

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

						if dataset.dtype != value_array.dtype:
												__lowerCAmelCase     =  (
												    """Input data have different datatype... """
												    f"""dataset : {dataset.dtype}, value_array : {value_array.dtype}"""
												)
												raise TypeError(_lowerCAmelCase						)

						__lowerCAmelCase     =  []

						for value in value_array:
												__lowerCAmelCase     =  euclidean(_lowerCAmelCase ,    dataset[0]						)
												__lowerCAmelCase     =  dataset[0].tolist()

												for dataset_value in dataset[1:]:
																		__lowerCAmelCase     =  euclidean(_lowerCAmelCase ,    _lowerCAmelCase						)

																		if dist > temp_dist:
																								__lowerCAmelCase     =  temp_dist
																								__lowerCAmelCase     =  dataset_value.tolist()

												answer.append([vector, dist]						)

						return answer

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase						):
						return np.dot(_lowerCAmelCase ,    _lowerCAmelCase						) / (norm(_lowerCAmelCase						) * norm(_lowerCAmelCase						))


if __name__ == "__main__":
			import doctest

			doctest.testmod()


"""simple docstring"""
import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
SCREAMING_SNAKE_CASE_					     =	[
    '''kernels/rwkv/wkv_cuda.cu''',
    '''kernels/rwkv/wkv_op.cpp''',
    '''kernels/deformable_detr/ms_deform_attn.h''',
    '''kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh''',
    '''models/graphormer/algos_graphormer.pyx''',
]

def  lowercase     (_lowerCAmelCase						):
						# Test all the extensions added in the setup
						for file in FILES_TO_FIND:
												if not (transformers_path / file).exists():
																		return False
						return True


if __name__ == "__main__":
			SCREAMING_SNAKE_CASE_					     =	argparse.ArgumentParser()
			parser.add_argument('''--check_lib''', action='''store_true''', help='''Whether to check the build or the actual package.''')
			SCREAMING_SNAKE_CASE_					     =	parser.parse_args()
			if args.check_lib:
						SCREAMING_SNAKE_CASE_					     =	importlib.import_module('''transformers''')
						SCREAMING_SNAKE_CASE_					     =	Path(transformers_module.__file__).parent
			else:
						SCREAMING_SNAKE_CASE_					     =	Path.cwd() / '''build/lib/transformers'''
			if not test_custom_files_are_present(transformers_path):
						raise ValueError('''The built release does not contain the custom files. Fix this before going further!''')
