

import os

from ...utils import logging
from .utils import DataProcessor, InputExample


lowerCamelCase   					=  logging.get_logger(__name__)





class      snake_case_      (					_a				):


							"""simple docstring"""





							def __init__(			self       ,    _A       ,    _A=None				):
												__lowerCAmelCase       =				language
												__lowerCAmelCase       =				train_language




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				self.language if self.train_language is None else self.train_language
												__lowerCAmelCase       =				self._read_tsv(os.path.join(_A       ,    F"""XNLI-MT-1.0/multinli/multinli.train.{lg}.tsv"""				)				)
												__lowerCAmelCase       =				[]
												for i, line in enumerate(_A				):
																	if i == 0:
																						continue
																	__lowerCAmelCase       =				F"""train-{i}"""
																	__lowerCAmelCase       =				line[0]
																	__lowerCAmelCase       =				line[1]
																	__lowerCAmelCase       =				'contradiction' if line[2] == 'contradictory' else line[2]
																	if not isinstance(_A       ,    _A				):
																						raise ValueError(F"""Training input {text_a} is not a string"""				)
																	if not isinstance(_A       ,    _A				):
																						raise ValueError(F"""Training input {text_b} is not a string"""				)
																	if not isinstance(_A       ,    _A				):
																						raise ValueError(F"""Training label {label} is not a string"""				)
																	examples.append(InputExample(guid=_A       ,    text_a=_A       ,    text_b=_A       ,    label=_A				)				)
												return examples




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				self._read_tsv(os.path.join(_A       ,    'XNLI-1.0/xnli.test.tsv'				)				)
												__lowerCAmelCase       =				[]
												for i, line in enumerate(_A				):
																	if i == 0:
																						continue
																	__lowerCAmelCase       =				line[0]
																	if language != self.language:
																						continue
																	__lowerCAmelCase       =				F"""test-{i}"""
																	__lowerCAmelCase       =				line[6]
																	__lowerCAmelCase       =				line[7]
																	__lowerCAmelCase       =				line[1]
																	if not isinstance(_A       ,    _A				):
																						raise ValueError(F"""Training input {text_a} is not a string"""				)
																	if not isinstance(_A       ,    _A				):
																						raise ValueError(F"""Training input {text_b} is not a string"""				)
																	if not isinstance(_A       ,    _A				):
																						raise ValueError(F"""Training label {label} is not a string"""				)
																	examples.append(InputExample(guid=_A       ,    text_a=_A       ,    text_b=_A       ,    label=_A				)				)
												return examples




							def 							A__	(			self				):
												return ["contradiction", "entailment", "neutral"]
lowerCamelCase   					=  {
    '''xnli''': XnliProcessor,
}

lowerCamelCase   					=  {
    '''xnli''': '''classification''',
}

lowerCamelCase   					=  {
    '''xnli''': 3,
}









import random


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






					def is_sorted(UpperCAmelCase__   ):
										for i in range(len(UpperCAmelCase__   ) - 1   ):
															if collection[i] > collection[i + 1]:
																				return False
										return True

					while not is_sorted(UpperCAmelCase__   ):
										random.shuffle(UpperCAmelCase__   )
					return collection


if __name__ == "__main__":
		lowerCamelCase   					=  input('''Enter numbers separated by a comma:\n''').strip()
		lowerCamelCase   					=  [int(item) for item in user_input.split(''',''')]
		print(bogo_sort(unsorted))






