


from collections import Counter

import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split

snake_case_						:			Optional[Any]													=							datasets.load_iris()

snake_case_						:			int													=							np.array(data['''data'''])
snake_case_						:			Tuple													=							np.array(data['''target'''])
snake_case_						:			str													=							data['''target_names''']

snake_case_						,				snake_case_						,				snake_case_						,				snake_case_						:			Optional[Any]													=							train_test_split(X, y)







def 						lowerCamelCase(   a__	,a__):
				return np.linalg.norm(np.array(a__) - np.array(a__))







def 						lowerCamelCase(   a__	,a__	,a__	,a__	,a__=5):
				_SCREAMING_SNAKE_CASE			  =zip(a__	,a__)
				# List of distances of all points from the point to be classified
				_SCREAMING_SNAKE_CASE			  =[]
				for data_point in data:
								_SCREAMING_SNAKE_CASE			  =euclidean_distance(data_point[0]	,a__)
								distances.append((distance, data_point[1]))
				# Choosing 'k' points with the least distances.
				_SCREAMING_SNAKE_CASE			  =[i[1] for i in sorted(a__)[:k]]
				# Most commonly occurring class among them
				# is the class into which the point is classified
				_SCREAMING_SNAKE_CASE			  =Counter(a__).most_common(1)[0][0]
				return classes[result]


if __name__ == "__main__":
							print(classifier(X_train, y_train, classes, [4.4, 3.1, 1.3, 1.4]))



from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


snake_case_						:			List[Any]													=							logging.get_logger(__name__)

snake_case_						:			Optional[Any]													=							'''T5Config'''

class 						A__							(		UpperCamelCase__  ):
						UpperCAmelCase             =						"mt5"
						UpperCAmelCase             =						MTaConfig

class 						A__							(		UpperCamelCase__  ):
						UpperCAmelCase             =						"mt5"
						UpperCAmelCase             =						MTaConfig

class 						A__							(		UpperCamelCase__  ):
						UpperCAmelCase             =						"mt5"
						UpperCAmelCase             =						MTaConfig