

import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class       snake_case_  (						__A      ,			unittest.TestCase   ):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE	:  List[Any]		     =							LongformerTokenizer
			SCREAMING_SNAKE_CASE	:  List[Any]		     =							True
			SCREAMING_SNAKE_CASE	:  Any		     =							LongformerTokenizerFast
			SCREAMING_SNAKE_CASE	:  str		     =							True







			def 							snake_case__(	self					:							List[str]				) ->Optional[int]:
									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									snake_case_  =      [
									    '''l''',
									    '''o''',
									    '''w''',
									    '''e''',
									    '''r''',
									    '''s''',
									    '''t''',
									    '''i''',
									    '''d''',
									    '''n''',
									    '''\u0120''',
									    '''\u0120l''',
									    '''\u0120n''',
									    '''\u0120lo''',
									    '''\u0120low''',
									    '''er''',
									    '''\u0120lowest''',
									    '''\u0120newer''',
									    '''\u0120wider''',
									    '''<unk>''',
									]
									snake_case_  =      dict(zip(_UpperCamelCase				,  range(len(_UpperCamelCase				)				)				)				)
									snake_case_  =      ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
									snake_case_  =      {'''unk_token''': '''<unk>'''}

									snake_case_  =      os.path.join(self.tmpdirname				,  VOCAB_FILES_NAMES['''vocab_file''']				)
									snake_case_  =      os.path.join(self.tmpdirname				,  VOCAB_FILES_NAMES['''merges_file''']				)
									with open(self.vocab_file				,  '''w'''				,  encoding='''utf-8'''				) as fp:
															fp.write(json.dumps(_UpperCamelCase				) + '''\n'''				)
									with open(self.merges_file				,  '''w'''				,  encoding='''utf-8'''				) as fp:
															fp.write('''\n'''.join(_UpperCamelCase				)				)







			def 							snake_case__(	self					:							Union[str, Any]				,  **_UpperCamelCase					:							int				) ->Union[str, Any]:
									kwargs.update(self.special_tokens_map				)
									return self.tokenizer_class.from_pretrained(self.tmpdirname				,  **_UpperCamelCase				)







			def 							snake_case__(	self					:							int				,  **_UpperCamelCase					:							Dict				) ->List[Any]:
									kwargs.update(self.special_tokens_map				)
									return self.rust_tokenizer_class.from_pretrained(self.tmpdirname				,  **_UpperCamelCase				)







			def 							snake_case__(	self					:							str				,  _UpperCamelCase					:							Optional[Any]				) ->str:
									snake_case_  =      '''lower newer'''
									snake_case_  =      '''lower newer'''
									return input_text, output_text







			def 							snake_case__(	self					:							List[Any]				) ->int:
									snake_case_  =      self.tokenizer_class(self.vocab_file				,  self.merges_file				,  **self.special_tokens_map				)
									snake_case_  =      '''lower newer'''
									snake_case_  =      ['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
									snake_case_  =      tokenizer.tokenize(_UpperCamelCase				)  # , add_prefix_space=True)
									self.assertListEqual(_UpperCamelCase				,  _UpperCamelCase				)

									snake_case_  =      tokens + [tokenizer.unk_token]
									snake_case_  =      [0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase				)				,  _UpperCamelCase				)







			def 							snake_case__(	self					:							Optional[int]				) ->Any:
									snake_case_  =      self.get_tokenizer()

									self.assertListEqual(tokenizer.encode('''Hello world!'''				,  add_special_tokens=_UpperCamelCase				)				,  [0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]				)
									self.assertListEqual(
									    tokenizer.encode('''Hello world! cécé herlolip 418'''				,  add_special_tokens=_UpperCamelCase				)				,  [0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2]				,  )







			@slow
			def 							snake_case__(	self					:							Optional[int]				) ->int:
									snake_case_  =      self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096'''				)

									snake_case_  =      tokenizer.encode('''sequence builders'''				,  add_special_tokens=_UpperCamelCase				)
									snake_case_  =      tokenizer.encode('''multi-sequence build'''				,  add_special_tokens=_UpperCamelCase				)

									snake_case_  =      tokenizer.encode(
									    '''sequence builders'''				,  add_special_tokens=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				)
									snake_case_  =      tokenizer.encode(
									    '''sequence builders'''				,  '''multi-sequence build'''				,  add_special_tokens=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				)

									snake_case_  =      tokenizer.build_inputs_with_special_tokens(_UpperCamelCase				)
									snake_case_  =      tokenizer.build_inputs_with_special_tokens(_UpperCamelCase				,  _UpperCamelCase				)

									assert encoded_sentence == encoded_text_from_decode
									assert encoded_pair == encoded_pair_from_decode







			def 							snake_case__(	self					:							Any				) ->Tuple:
									snake_case_  =      self.get_tokenizer()

									snake_case_  =      '''Encode this sequence.'''
									snake_case_  =      tokenizer.byte_encoder[''' '''.encode('''utf-8'''				)[0]]

									# Testing encoder arguments
									snake_case_  =      tokenizer.encode(_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				)
									snake_case_  =      tokenizer.convert_ids_to_tokens(encoded[0]				)[0]
									self.assertNotEqual(_UpperCamelCase				,  _UpperCamelCase				)

									snake_case_  =      tokenizer.encode(_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				)
									snake_case_  =      tokenizer.convert_ids_to_tokens(encoded[0]				)[0]
									self.assertEqual(_UpperCamelCase				,  _UpperCamelCase				)

									tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}				)
									snake_case_  =      tokenizer.encode(_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				)
									snake_case_  =      tokenizer.convert_ids_to_tokens(encoded[1]				)[0]
									self.assertNotEqual(_UpperCamelCase				,  _UpperCamelCase				)

									# Testing spaces after special tokens
									snake_case_  =      '''<mask>'''
									tokenizer.add_special_tokens(
									    {'''mask_token''': AddedToken(_UpperCamelCase				,  lstrip=_UpperCamelCase				,  rstrip=_UpperCamelCase				)}				)  # mask token has a left space
									snake_case_  =      tokenizer.convert_tokens_to_ids(_UpperCamelCase				)

									snake_case_  =      '''Encode <mask> sequence'''
									snake_case_  =      '''Encode <mask>sequence'''

									snake_case_  =      tokenizer.encode(_UpperCamelCase				)
									snake_case_  =      encoded.index(_UpperCamelCase				)
									snake_case_  =      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
									self.assertEqual(_UpperCamelCase				,  _UpperCamelCase				)

									snake_case_  =      tokenizer.encode(_UpperCamelCase				)
									snake_case_  =      encoded.index(_UpperCamelCase				)
									snake_case_  =      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
									self.assertNotEqual(_UpperCamelCase				,  _UpperCamelCase				)







			def 							snake_case__(	self					:							Optional[int]				) ->Optional[int]:
									pass







			def 							snake_case__(	self					:							List[Any]				) ->str:
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''				):
																					snake_case_  =      self.rust_tokenizer_class.from_pretrained(_UpperCamelCase				,  **_UpperCamelCase				)
																					snake_case_  =      self.tokenizer_class.from_pretrained(_UpperCamelCase				,  **_UpperCamelCase				)
																					snake_case_  =      '''A, <mask> AllenNLP sentence.'''
																					snake_case_  =      tokenizer_r.encode_plus(_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				,  return_token_type_ids=_UpperCamelCase				)
																					snake_case_  =      tokenizer_p.encode_plus(_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				,  return_token_type_ids=_UpperCamelCase				)

																					# token_type_ids should put 0 everywhere
																					self.assertEqual(sum(tokens_r['''token_type_ids''']				)				,  sum(tokens_p['''token_type_ids''']				)				)

																					# attention_mask should put 1 everywhere, so sum over length should be 1
																					self.assertEqual(
																					    sum(tokens_r['''attention_mask''']				) / len(tokens_r['''attention_mask''']				)				,  sum(tokens_p['''attention_mask''']				) / len(tokens_p['''attention_mask''']				)				,  )

																					snake_case_  =      tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']				)
																					snake_case_  =      tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids''']				)

																					# Rust correctly handles the space before the mask while python doesnt
																					self.assertSequenceEqual(tokens_p['''input_ids''']				,  [0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]				)
																					self.assertSequenceEqual(tokens_r['''input_ids''']				,  [0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]				)

																					self.assertSequenceEqual(
																					    _UpperCamelCase				,  ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']				)
																					self.assertSequenceEqual(
																					    _UpperCamelCase				,  ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']				)







			def 							snake_case__(	self					:							str				) ->int:
									for trim_offsets, add_prefix_space in itertools.product([True, False]				,  repeat=2				):
															snake_case_  =      self.rust_tokenizer_class.from_pretrained(
															    self.tmpdirname				,  use_fast=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				,  trim_offsets=_UpperCamelCase				)

															snake_case_  =      json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()				)
															snake_case_  =      json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()				)

															self.assertEqual(pre_tokenizer_state['''add_prefix_space''']				,  _UpperCamelCase				)

															self.assertEqual(post_processor_state['''add_prefix_space''']				,  _UpperCamelCase				)
															self.assertEqual(post_processor_state['''trim_offsets''']				,  _UpperCamelCase				)







			def 							snake_case__(	self					:							str				) ->Union[str, Any]:
									# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
									# `trim_offsets`
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''				):
																					snake_case_  =      '''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
																					snake_case_  =      f'''{text_of_1_token} {text_of_1_token}'''

																					snake_case_  =      self.rust_tokenizer_class.from_pretrained(
																					    _UpperCamelCase				,  use_fast=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				,  trim_offsets=_UpperCamelCase				)
																					snake_case_  =      tokenizer_r(_UpperCamelCase				,  return_offsets_mapping=_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				)
																					self.assertEqual(encoding.offset_mapping[0]				,  (0, len(_UpperCamelCase				))				)
																					self.assertEqual(
																					    encoding.offset_mapping[1]				,  (len(_UpperCamelCase				) + 1, len(_UpperCamelCase				) + 1 + len(_UpperCamelCase				))				,  )

																					snake_case_  =      self.rust_tokenizer_class.from_pretrained(
																					    _UpperCamelCase				,  use_fast=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				,  trim_offsets=_UpperCamelCase				)
																					snake_case_  =      tokenizer_r(_UpperCamelCase				,  return_offsets_mapping=_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				)
																					self.assertEqual(encoding.offset_mapping[0]				,  (0, len(_UpperCamelCase				))				)
																					self.assertEqual(
																					    encoding.offset_mapping[1]				,  (len(_UpperCamelCase				) + 1, len(_UpperCamelCase				) + 1 + len(_UpperCamelCase				))				,  )

																					snake_case_  =      self.rust_tokenizer_class.from_pretrained(
																					    _UpperCamelCase				,  use_fast=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				,  trim_offsets=_UpperCamelCase				)
																					snake_case_  =      tokenizer_r(_UpperCamelCase				,  return_offsets_mapping=_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				)
																					self.assertEqual(encoding.offset_mapping[0]				,  (0, len(_UpperCamelCase				))				)
																					self.assertEqual(
																					    encoding.offset_mapping[1]				,  (len(_UpperCamelCase				), len(_UpperCamelCase				) + 1 + len(_UpperCamelCase				))				,  )

																					snake_case_  =      self.rust_tokenizer_class.from_pretrained(
																					    _UpperCamelCase				,  use_fast=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				,  trim_offsets=_UpperCamelCase				)
																					snake_case_  =      tokenizer_r(_UpperCamelCase				,  return_offsets_mapping=_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				)
																					self.assertEqual(encoding.offset_mapping[0]				,  (0, len(_UpperCamelCase				))				)
																					self.assertEqual(
																					    encoding.offset_mapping[1]				,  (len(_UpperCamelCase				), len(_UpperCamelCase				) + 1 + len(_UpperCamelCase				))				,  )

																					snake_case_  =      f''' {text}'''

																					# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
																					#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
																					# )
																					# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
																					# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
																					# self.assertEqual(
																					#     encoding.offset_mapping[1],
																					#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
																					# )

																					snake_case_  =      self.rust_tokenizer_class.from_pretrained(
																					    _UpperCamelCase				,  use_fast=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				,  trim_offsets=_UpperCamelCase				)
																					snake_case_  =      tokenizer_r(_UpperCamelCase				,  return_offsets_mapping=_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				)
																					self.assertEqual(encoding.offset_mapping[0]				,  (1, 1 + len(_UpperCamelCase				))				)
																					self.assertEqual(
																					    encoding.offset_mapping[1]				,  (1 + len(_UpperCamelCase				) + 1, 1 + len(_UpperCamelCase				) + 1 + len(_UpperCamelCase				))				,  )

																					snake_case_  =      self.rust_tokenizer_class.from_pretrained(
																					    _UpperCamelCase				,  use_fast=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				,  trim_offsets=_UpperCamelCase				)
																					snake_case_  =      tokenizer_r(_UpperCamelCase				,  return_offsets_mapping=_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				)
																					self.assertEqual(encoding.offset_mapping[0]				,  (0, 1 + len(_UpperCamelCase				))				)
																					self.assertEqual(
																					    encoding.offset_mapping[1]				,  (1 + len(_UpperCamelCase				), 1 + len(_UpperCamelCase				) + 1 + len(_UpperCamelCase				))				,  )

																					snake_case_  =      self.rust_tokenizer_class.from_pretrained(
																					    _UpperCamelCase				,  use_fast=_UpperCamelCase				,  add_prefix_space=_UpperCamelCase				,  trim_offsets=_UpperCamelCase				)
																					snake_case_  =      tokenizer_r(_UpperCamelCase				,  return_offsets_mapping=_UpperCamelCase				,  add_special_tokens=_UpperCamelCase				)
																					self.assertEqual(encoding.offset_mapping[0]				,  (0, 1 + len(_UpperCamelCase				))				)
																					self.assertEqual(
																					    encoding.offset_mapping[1]				,  (1 + len(_UpperCamelCase				), 1 + len(_UpperCamelCase				) + 1 + len(_UpperCamelCase				))				,  )







"""simple docstring"""



def 	SCREAMING_SNAKE_CASE__       (  snake_case       : Tuple				)->		str:






     '''simple docstring'''



     UpperCAmelCase__						:    List[str]							=							len(snake_case				)
     for i in range(length - 1				):
          UpperCAmelCase__						:    Any							=							i
          for k in range(i + 1			,					snake_case				):
               if collection[k] < collection[least]:
                    UpperCAmelCase__						:    Union[str, Any]							=							k
          if least != i:
               UpperCAmelCase__							,				UpperCAmelCase__						:    Union[str, Any]							=							(collection[i], collection[least])
     return collection


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


