import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 						a__							(   __snake_case      ,						unittest.TestCase		):
			A__				:   Optional[Any]								=			HerbertTokenizer
			A__				:   Any								=			HerbertTokenizerFast
			A__				:   Optional[int]								=			True



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Optional[Any]:
								super().setUp()

								# Use a simpler test file without japanese/chinese characters
								with open(f'''{get_tests_dir()}/fixtures/sample_text_no_unicode.txt'''      ,						encoding='utf-8'    ) as f_data:
													__a							=   f_data.read().replace('\n\n'      ,						'\n'    ).strip()

								__a							=   [
								    '<s>',
								    '</s>',
								    'l',
								    'o',
								    'w',
								    'e',
								    'r',
								    's',
								    't',
								    'i',
								    'd',
								    'n',
								    'w</w>',
								    'r</w>',
								    't</w>',
								    'lo',
								    'low',
								    'er</w>',
								    'low</w>',
								    'lowest</w>',
								    'newer</w>',
								    'wider</w>',
								    ',</w>',
								    '<unk>',
								]
								__a							=   dict(zip(UpperCAmelCase      ,						range(len(UpperCAmelCase    )    )    )    )
								__a							=   ['l o 123', 'lo w 1456', 'e r</w> 1789', '']

								__a							=   os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES['vocab_file']    )
								__a							=   os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES['merges_file']    )
								with open(self.vocab_file      ,						'w'    ) as fp:
													fp.write(json.dumps(UpperCAmelCase    )    )
								with open(self.merges_file      ,						'w'    ) as fp:
													fp.write('\n'.join(UpperCAmelCase    )    )



			def __SCREAMING_SNAKE_CASE							(						self      ,						UpperCAmelCase    ) ->    List[Any]:
								__a							=   'lower newer'
								__a							=   'lower newer'
								return input_text, output_text



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    List[str]:
								__a							=   self.tokenizer_class(vocab_file=self.vocab_file      ,						merges_file=self.merges_file    )

								__a							=   'lower'
								__a							=   ['low', 'er</w>']
								__a							=   tokenizer.tokenize(UpperCAmelCase    )
								self.assertListEqual(UpperCAmelCase      ,						UpperCAmelCase    )

								__a							=   tokens + ['<unk>']
								__a							=   [1_6, 1_7, 2_3]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase    )      ,						UpperCAmelCase    )



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    List[str]:
								if not self.test_rust_tokenizer:
													return

								__a							=   self.get_tokenizer()
								__a							=   self.get_rust_tokenizer()

								__a							=   'lower,newer'

								__a							=   tokenizer.tokenize(UpperCAmelCase    )
								__a							=   rust_tokenizer.tokenize(UpperCAmelCase    )
								self.assertListEqual(UpperCAmelCase      ,						UpperCAmelCase    )

								__a							=   tokenizer.encode(UpperCAmelCase      ,						add_special_tokens=UpperCAmelCase    )
								__a							=   rust_tokenizer.encode(UpperCAmelCase      ,						add_special_tokens=UpperCAmelCase    )
								self.assertListEqual(UpperCAmelCase      ,						UpperCAmelCase    )

								__a							=   self.get_rust_tokenizer()
								__a							=   tokenizer.encode(UpperCAmelCase    )
								__a							=   rust_tokenizer.encode(UpperCAmelCase    )
								self.assertListEqual(UpperCAmelCase      ,						UpperCAmelCase    )







			@slow
			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Union[str, Any]:
								__a							=   self.tokenizer_class.from_pretrained('allegro/herbert-base-cased'    )

								__a							=   tokenizer.encode('konstruowanie sekwencji'      ,						add_special_tokens=UpperCAmelCase    )
								__a							=   tokenizer.encode('konstruowanie wielu sekwencji'      ,						add_special_tokens=UpperCAmelCase    )

								__a							=   tokenizer.build_inputs_with_special_tokens(UpperCAmelCase    )
								__a							=   tokenizer.build_inputs_with_special_tokens(UpperCAmelCase      ,						UpperCAmelCase    )

								assert encoded_sentence == [0] + text + [2]
								assert encoded_pair == [0] + text + [2] + text_a + [2]





def 							lowerCAmelCase(	__lowerCamelCase      ,				__lowerCamelCase						):
					sequence.append(__lowerCamelCase						)

					__a							=   0
					while sequence[index] != target:
										index += 1

					sequence.pop()

					if index == len(__lowerCamelCase						):
										return None

					return index


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

	lowerCamelCase_				:		Tuple       						=       input("""Enter a single number to be found in the list:\n""")
	lowerCamelCase_				:		Optional[int]       						=       int(target_input)
	lowerCamelCase_				:		List[Any]       						=       sentinel_linear_search(sequence, target)
	if result is not None:
		print(F'''{target} found at positions: {result}''')
	else:
		print("""Not found""")




