


import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_lowerCAmelCase:						List[str]   				=       get_tests_dir('fixtures/test_sentencepiece.model')




@require_sentencepiece
@require_tokenizers
class       lowercase_					(lowercase__      ,					unittest.TestCase   ):
				snake_case	    =XLMRobertaTokenizer
				snake_case	    =XLMRobertaTokenizerFast
				snake_case	    =True
				snake_case	    =True





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											super().setUp()

											# We have a SentencePiece fixture for testing
											a__      =XLMRobertaTokenizer(lowercase_       ,  keep_accents=lowercase_)
											tokenizer.save_pretrained(self.tmpdirname)





				def 						__UpperCamelCase    (				self)  -> List[str]:
											a__      ='<pad>'
											a__      =1

											self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowercase_)       ,  lowercase_)
											self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowercase_)       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> List[str]:
											a__      =list(self.get_tokenizer().get_vocab().keys())

											self.assertEqual(vocab_keys[0]       ,  '<s>')
											self.assertEqual(vocab_keys[1]       ,  '<pad>')
											self.assertEqual(vocab_keys[-1]       ,  '<mask>')
											self.assertEqual(len(lowercase_)       ,  1002)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											self.assertEqual(self.get_tokenizer().vocab_size       ,  1002)





				def 						__UpperCamelCase    (				self)  -> Dict:
											a__      =XLMRobertaTokenizer(lowercase_       ,  keep_accents=lowercase_)

											a__      =tokenizer.tokenize('This is a test')
											self.assertListEqual(lowercase_       ,  ['▁This', '▁is', '▁a', '▁t', 'est'])

											self.assertListEqual(
											    tokenizer.convert_tokens_to_ids(lowercase_)       ,  [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]       ,  )

											a__      =tokenizer.tokenize('I was born in 92000, and this is falsé.')
											self.assertListEqual(
											    lowercase_       ,  [
											        SPIECE_UNDERLINE + 'I',
											        SPIECE_UNDERLINE + 'was',
											        SPIECE_UNDERLINE + 'b',
											        'or',
											        'n',
											        SPIECE_UNDERLINE + 'in',
											        SPIECE_UNDERLINE + '',
											        '9',
											        '2',
											        '0',
											        '0',
											        '0',
											        ',',
											        SPIECE_UNDERLINE + 'and',
											        SPIECE_UNDERLINE + 'this',
											        SPIECE_UNDERLINE + 'is',
											        SPIECE_UNDERLINE + 'f',
											        'al',
											        's',
											        'é',
											        '.',
											    ]       ,  )
											a__      =tokenizer.convert_tokens_to_ids(lowercase_)
											self.assertListEqual(
											    lowercase_       ,  [
											        value + tokenizer.fairseq_offset
											        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
											        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
											    ]       ,  )

											a__      =tokenizer.convert_ids_to_tokens(lowercase_)
											self.assertListEqual(
											    lowercase_       ,  [
											        SPIECE_UNDERLINE + 'I',
											        SPIECE_UNDERLINE + 'was',
											        SPIECE_UNDERLINE + 'b',
											        'or',
											        'n',
											        SPIECE_UNDERLINE + 'in',
											        SPIECE_UNDERLINE + '',
											        '<unk>',
											        '2',
											        '0',
											        '0',
											        '0',
											        ',',
											        SPIECE_UNDERLINE + 'and',
											        SPIECE_UNDERLINE + 'this',
											        SPIECE_UNDERLINE + 'is',
											        SPIECE_UNDERLINE + 'f',
											        'al',
											        's',
											        '<unk>',
											        '.',
											    ]       ,  )





				def 						__UpperCamelCase    (				self)  -> int:
											if not self.test_slow_tokenizer:
																		# as we don't have a slow version, we can't compare the outputs between slow and fast versions
																		return

											a__      =(self.rust_tokenizer_class, 'hf-internal-testing/tiny-xlm-roberta', {})
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
																									a__      =self.rust_tokenizer_class.from_pretrained(lowercase_       ,  **lowercase_)
																									a__      =self.tokenizer_class.from_pretrained(lowercase_       ,  **lowercase_)

																									a__      =tempfile.mkdtemp()

																									a__      =tokenizer_r.save_pretrained(lowercase_)
																									a__      =tokenizer_p.save_pretrained(lowercase_)

																									# Checks it save with the same files + the tokenizer.json file for the fast one
																									self.assertTrue(any('tokenizer.json' in f for f in tokenizer_r_files))
																									a__      =tuple(f for f in tokenizer_r_files if 'tokenizer.json' not in f)
																									self.assertSequenceEqual(lowercase_       ,  lowercase_)

																									# Checks everything loads correctly in the same way
																									a__      =tokenizer_r.from_pretrained(lowercase_)
																									a__      =tokenizer_p.from_pretrained(lowercase_)

																									# Check special tokens are set accordingly on Rust and Python
																									for key in tokenizer_pp.special_tokens_map:
																																self.assertTrue(hasattr(lowercase_       ,  lowercase_))
																																# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																																# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

																									shutil.rmtree(lowercase_)

																									# Save tokenizer rust, legacy_format=True
																									a__      =tempfile.mkdtemp()

																									a__      =tokenizer_r.save_pretrained(lowercase_       ,  legacy_format=lowercase_)
																									a__      =tokenizer_p.save_pretrained(lowercase_)

																									# Checks it save with the same files
																									self.assertSequenceEqual(lowercase_       ,  lowercase_)

																									# Checks everything loads correctly in the same way
																									a__      =tokenizer_r.from_pretrained(lowercase_)
																									a__      =tokenizer_p.from_pretrained(lowercase_)

																									# Check special tokens are set accordingly on Rust and Python
																									for key in tokenizer_pp.special_tokens_map:
																																self.assertTrue(hasattr(lowercase_       ,  lowercase_))

																									shutil.rmtree(lowercase_)

																									# Save tokenizer rust, legacy_format=False
																									a__      =tempfile.mkdtemp()

																									a__      =tokenizer_r.save_pretrained(lowercase_       ,  legacy_format=lowercase_)
																									a__      =tokenizer_p.save_pretrained(lowercase_)

																									# Checks it saved the tokenizer.json file
																									self.assertTrue(any('tokenizer.json' in f for f in tokenizer_r_files))

																									# Checks everything loads correctly in the same way
																									a__      =tokenizer_r.from_pretrained(lowercase_)
																									a__      =tokenizer_p.from_pretrained(lowercase_)

																									# Check special tokens are set accordingly on Rust and Python
																									for key in tokenizer_pp.special_tokens_map:
																																self.assertTrue(hasattr(lowercase_       ,  lowercase_))

																									shutil.rmtree(lowercase_)





				@cached_property
				def 						__UpperCamelCase    (				self)  -> Tuple:
											return XLMRobertaTokenizer.from_pretrained('xlm-roberta-base')





				def 						__UpperCamelCase    (				self)  -> Dict:
											with tempfile.NamedTemporaryFile() as f:
																		shutil.copyfile(lowercase_       ,  f.name)
																		a__      =XLMRobertaTokenizer(f.name       ,  keep_accents=lowercase_)
																		a__      =pickle.dumps(lowercase_)
											pickle.loads(lowercase_)





				def 						__UpperCamelCase    (				self)  -> Tuple:
											if not self.test_rust_tokenizer:
																		return

											a__      =self.get_tokenizer()
											a__      =self.get_rust_tokenizer()

											a__      ='I was born in 92000, and this is falsé.'

											a__      =tokenizer.tokenize(lowercase_)
											a__      =rust_tokenizer.tokenize(lowercase_)
											self.assertListEqual(lowercase_       ,  lowercase_)

											a__      =tokenizer.encode(lowercase_       ,  add_special_tokens=lowercase_)
											a__      =rust_tokenizer.encode(lowercase_       ,  add_special_tokens=lowercase_)
											self.assertListEqual(lowercase_       ,  lowercase_)

											a__      =self.get_rust_tokenizer()
											a__      =tokenizer.encode(lowercase_)
											a__      =rust_tokenizer.encode(lowercase_)
											self.assertListEqual(lowercase_       ,  lowercase_)





				@slow
				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      ='Hello World!'
											a__      =[0, 35378, 6661, 38, 2]
											# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
											# xlmr.eval()
											# xlmr.encode(symbols)

											self.assertListEqual(lowercase_       ,  self.big_tokenizer.encode(lowercase_))





				@slow
				def 						__UpperCamelCase    (				self)  -> Any:
											a__      =(
											    'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
											    ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
											)
											a__      =[
											    0,
											    3293,
											    83,
											    10,
											    4552,
											    4989,
											    7986,
											    678,
											    10,
											    5915,
											    111,
											    179459,
											    124850,
											    4,
											    6044,
											    237,
											    12,
											    6,
											    5,
											    6,
											    4,
											    6780,
											    705,
											    15,
											    1388,
											    44,
											    378,
											    10114,
											    711,
											    152,
											    20,
											    6,
											    5,
											    22376,
											    642,
											    1221,
											    15190,
											    34153,
											    450,
											    5608,
											    959,
											    1119,
											    57702,
											    136,
											    186,
											    47,
											    1098,
											    29367,
											    47,
											    # 4426, # What fairseq tokenizes from "<unk>": "_<"
											    # 3678, # What fairseq tokenizes from "<unk>": "unk"
											    # 2740, # What fairseq tokenizes from "<unk>": ">"
											    3,  # What we tokenize from "<unk>": "<unk>"
											    6,  # Residue from the tokenization: an extra sentencepiece underline
											    4,
											    6044,
											    237,
											    6284,
											    50901,
											    528,
											    31,
											    90,
											    34,
											    927,
											    2,
											]
											# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
											# xlmr.eval()
											# xlmr.encode(symbols)

											self.assertListEqual(lowercase_       ,  self.big_tokenizer.encode(lowercase_))





				@slow
				def 						__UpperCamelCase    (				self)  -> Any:
											# fmt: off
											a__      ={'input_ids': [[0, 11062, 82772, 7, 15, 82772, 538, 51529, 237, 17198, 1290, 206, 9, 215175, 1314, 136, 17198, 1290, 206, 9, 56359, 42, 122009, 9, 16466, 16, 87344, 4537, 9, 4717, 78381, 6, 159958, 7, 15, 24480, 618, 4, 527, 22693, 5428, 4, 2777, 24480, 9874, 4, 43523, 594, 4, 803, 18392, 33189, 18, 4, 43523, 24447, 12399, 100, 24955, 83658, 9626, 144057, 15, 839, 22335, 16, 136, 24955, 83658, 83479, 15, 39102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 122009, 115774, 23, 805, 1328, 46876, 7, 136, 53894, 1940, 42227, 41159, 17721, 823, 425, 4, 27512, 98722, 206, 136, 5531, 4970, 919, 17336, 5, 2], [0, 20080, 618, 83, 82775, 47, 479, 9, 1517, 73, 53894, 333, 80581, 110117, 18811, 5256, 1295, 51, 152526, 297, 7986, 390, 124416, 538, 35431, 214, 98, 15044, 25737, 136, 7108, 43701, 23, 756, 135355, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 581, 63773, 119455, 6, 147797, 88203, 7, 645, 70, 21, 3285, 10269, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
											# fmt: on

											self.tokenizer_integration_test_util(
											    expected_encoding=lowercase_       ,  model_name='xlm-roberta-base'       ,  revision='d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3'       ,  )





def   _lowercase(					__a				:						list[int]     ):
							a__      =len(__a     )
							for i in range(__a     ):
														for j in range(i + 1    ,     __a     ):
																					if numbers[j] < numbers[i]:
																												a__    ,     a__      =numbers[j], numbers[i]
							return numbers


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

