






'''simple docstring'''

import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 							__magic_name__     (	UpperCAmelCase_,						unittest.TestCase				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Dict        =  RobertaTokenizer
	SCREAMING_SNAKE_CASE_					:      Union[str, Any]        =  RobertaTokenizerFast
	SCREAMING_SNAKE_CASE_					:      List[str]        =  True
	SCREAMING_SNAKE_CASE_					:      List[Any]        =  {'cls_token': '<s>'}
	def        lowerCamelCase__		(							self       )						->  List[Any]:
							super().setUp()

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

							lowercase_      :   Optional[int]        =			os.path.join(self.tmpdirname  ,      VOCAB_FILES_NAMES['vocab_file']       )
							lowercase_      :   List[str]        =			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(_lowercase       ) + '\n'       )
							with open(self.merges_file  ,      'w'  ,      encoding='utf-8'       ) as fp:
													fp.write('\n'.join(_lowercase       )       )
	def        lowerCamelCase__		(							self  ,      **_lowercase       )						->  List[str]:
							kwargs.update(self.special_tokens_map       )
							return self.tokenizer_class.from_pretrained(self.tmpdirname  ,      **_lowercase       )
	def        lowerCamelCase__		(							self  ,      **_lowercase       )						->  Any:
							kwargs.update(self.special_tokens_map       )
							return RobertaTokenizerFast.from_pretrained(self.tmpdirname  ,      **_lowercase       )
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  List[str]:
							lowercase_      :   List[str]        =			'lower newer'
							lowercase_      :   str        =			'lower newer'
							return input_text, output_text
	def        lowerCamelCase__		(							self       )						->  Any:
							lowercase_      :   Optional[Any]        =			self.tokenizer_class(self.vocab_file  ,      self.merges_file  ,      **self.special_tokens_map       )
							lowercase_      :   str        =			'lower newer'
							lowercase_      :   Dict        =			['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
							lowercase_      :   Optional[int]        =			tokenizer.tokenize(_lowercase       )  # , add_prefix_space=True)
							self.assertListEqual(_lowercase  ,      _lowercase       )

							lowercase_      :   Any        =			tokens + [tokenizer.unk_token]
							lowercase_      :   Dict        =			[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase       )  ,      _lowercase       )
	def        lowerCamelCase__		(							self       )						->  str:
							lowercase_      :   Dict        =			self.get_tokenizer()

							self.assertListEqual(tokenizer.encode('Hello world!'  ,      add_special_tokens=_lowercase       )  ,      [0, 3_1414, 232, 328, 2]       )
							self.assertListEqual(
							    tokenizer.encode('Hello world! cécé herlolip 418'  ,      add_special_tokens=_lowercase       )  ,      [0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]  ,      )
	@slow
	def        lowerCamelCase__		(							self       )						->  Optional[int]:
							lowercase_      :   Any        =			self.tokenizer_class.from_pretrained('roberta-base'       )

							lowercase_      :   Any        =			tokenizer.encode('sequence builders'  ,      add_special_tokens=_lowercase       )
							lowercase_      :   int        =			tokenizer.encode('multi-sequence build'  ,      add_special_tokens=_lowercase       )

							lowercase_      :   Dict        =			tokenizer.encode(
							    'sequence builders'  ,      add_special_tokens=_lowercase  ,      add_prefix_space=_lowercase       )
							lowercase_      :   Any        =			tokenizer.encode(
							    'sequence builders'  ,      'multi-sequence build'  ,      add_special_tokens=_lowercase  ,      add_prefix_space=_lowercase       )

							lowercase_      :   List[Any]        =			tokenizer.build_inputs_with_special_tokens(_lowercase       )
							lowercase_      :   Optional[Any]        =			tokenizer.build_inputs_with_special_tokens(_lowercase  ,      _lowercase       )

							assert encoded_sentence == encoded_text_from_decode
							assert encoded_pair == encoded_pair_from_decode
	def        lowerCamelCase__		(							self       )						->  Dict:
							lowercase_      :   Tuple        =			self.get_tokenizer()

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

							# Testing encoder arguments
							lowercase_      :   Optional[int]        =			tokenizer.encode(_lowercase  ,      add_special_tokens=_lowercase  ,      add_prefix_space=_lowercase       )
							lowercase_      :   Optional[int]        =			tokenizer.convert_ids_to_tokens(encoded[0]       )[0]
							self.assertNotEqual(_lowercase  ,      _lowercase       )

							lowercase_      :   List[str]        =			tokenizer.encode(_lowercase  ,      add_special_tokens=_lowercase  ,      add_prefix_space=_lowercase       )
							lowercase_      :   List[str]        =			tokenizer.convert_ids_to_tokens(encoded[0]       )[0]
							self.assertEqual(_lowercase  ,      _lowercase       )

							tokenizer.add_special_tokens({'bos_token': '<s>'}       )
							lowercase_      :   Union[str, Any]        =			tokenizer.encode(_lowercase  ,      add_special_tokens=_lowercase       )
							lowercase_      :   int        =			tokenizer.convert_ids_to_tokens(encoded[1]       )[0]
							self.assertNotEqual(_lowercase  ,      _lowercase       )

							# Testing spaces after special tokens
							lowercase_      :   List[str]        =			'<mask>'
							tokenizer.add_special_tokens(
							    {'mask_token': AddedToken(_lowercase  ,      lstrip=_lowercase  ,      rstrip=_lowercase       )}       )  # mask token has a left space
							lowercase_      :   List[str]        =			tokenizer.convert_tokens_to_ids(_lowercase       )

							lowercase_      :   Optional[Any]        =			'Encode <mask> sequence'
							lowercase_      :   str        =			'Encode <mask>sequence'

							lowercase_      :   int        =			tokenizer.encode(_lowercase       )
							lowercase_      :   Optional[int]        =			encoded.index(_lowercase       )
							lowercase_      :   List[str]        =			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]       )[0]
							self.assertEqual(_lowercase  ,      _lowercase       )

							lowercase_      :   Tuple        =			tokenizer.encode(_lowercase       )
							lowercase_      :   Optional[Any]        =			encoded.index(_lowercase       )
							lowercase_      :   int        =			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]       )[0]
							self.assertNotEqual(_lowercase  ,      _lowercase       )
	def        lowerCamelCase__		(							self       )						->  Dict:
							pass
	def        lowerCamelCase__		(							self       )						->  Tuple:
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
																			lowercase_      :   str        =			self.rust_tokenizer_class.from_pretrained(_lowercase  ,      **_lowercase       )
																			lowercase_      :   Optional[Any]        =			self.tokenizer_class.from_pretrained(_lowercase  ,      **_lowercase       )
																			lowercase_      :   Any        =			'A, <mask> AllenNLP sentence.'
																			lowercase_      :   Tuple        =			tokenizer_r.encode_plus(_lowercase  ,      add_special_tokens=_lowercase  ,      return_token_type_ids=_lowercase       )
																			lowercase_      :   List[str]        =			tokenizer_p.encode_plus(_lowercase  ,      add_special_tokens=_lowercase  ,      return_token_type_ids=_lowercase       )

																			# 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']       )  ,      )

																			lowercase_      :   Union[str, Any]        =			tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']       )
																			lowercase_      :   List[Any]        =			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, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]       )
																			self.assertSequenceEqual(tokens_r['input_ids']  ,      [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]       )

																			self.assertSequenceEqual(
																			    _lowercase  ,      ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']       )
																			self.assertSequenceEqual(
																			    _lowercase  ,      ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']       )
	def        lowerCamelCase__		(							self       )						->  List[Any]:
							for trim_offsets, add_prefix_space in itertools.product([True, False]  ,      repeat=2       ):
													lowercase_      :   List[str]        =			self.rust_tokenizer_class.from_pretrained(
													    self.tmpdirname  ,      use_fast=_lowercase  ,      add_prefix_space=_lowercase  ,      trim_offsets=_lowercase       )

													lowercase_      :   List[Any]        =			json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()       )
													lowercase_      :   List[str]        =			json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()       )

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

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







	def        lowerCamelCase__		(							self       )						->  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})"       ):
																			lowercase_      :   Optional[Any]        =			'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
																			lowercase_      :   List[str]        =			f"{text_of_1_token} {text_of_1_token}"

																			lowercase_      :   List[Any]        =			self.rust_tokenizer_class.from_pretrained(
																			    _lowercase  ,      use_fast=_lowercase  ,      add_prefix_space=_lowercase  ,      trim_offsets=_lowercase       )
																			lowercase_      :   Optional[Any]        =			tokenizer_r(_lowercase  ,      return_offsets_mapping=_lowercase  ,      add_special_tokens=_lowercase       )
																			self.assertEqual(encoding.offset_mapping[0]  ,      (0, len(_lowercase       ))       )
																			self.assertEqual(
																			    encoding.offset_mapping[1]  ,      (len(_lowercase       ) + 1, len(_lowercase       ) + 1 + len(_lowercase       ))  ,      )

																			lowercase_      :   Optional[Any]        =			self.rust_tokenizer_class.from_pretrained(
																			    _lowercase  ,      use_fast=_lowercase  ,      add_prefix_space=_lowercase  ,      trim_offsets=_lowercase       )
																			lowercase_      :   Optional[Any]        =			tokenizer_r(_lowercase  ,      return_offsets_mapping=_lowercase  ,      add_special_tokens=_lowercase       )
																			self.assertEqual(encoding.offset_mapping[0]  ,      (0, len(_lowercase       ))       )
																			self.assertEqual(
																			    encoding.offset_mapping[1]  ,      (len(_lowercase       ) + 1, len(_lowercase       ) + 1 + len(_lowercase       ))  ,      )

																			lowercase_      :   Any        =			self.rust_tokenizer_class.from_pretrained(
																			    _lowercase  ,      use_fast=_lowercase  ,      add_prefix_space=_lowercase  ,      trim_offsets=_lowercase       )
																			lowercase_      :   Dict        =			tokenizer_r(_lowercase  ,      return_offsets_mapping=_lowercase  ,      add_special_tokens=_lowercase       )
																			self.assertEqual(encoding.offset_mapping[0]  ,      (0, len(_lowercase       ))       )
																			self.assertEqual(
																			    encoding.offset_mapping[1]  ,      (len(_lowercase       ), len(_lowercase       ) + 1 + len(_lowercase       ))  ,      )

																			lowercase_      :   Optional[Any]        =			self.rust_tokenizer_class.from_pretrained(
																			    _lowercase  ,      use_fast=_lowercase  ,      add_prefix_space=_lowercase  ,      trim_offsets=_lowercase       )
																			lowercase_      :   str        =			tokenizer_r(_lowercase  ,      return_offsets_mapping=_lowercase  ,      add_special_tokens=_lowercase       )
																			self.assertEqual(encoding.offset_mapping[0]  ,      (0, len(_lowercase       ))       )
																			self.assertEqual(
																			    encoding.offset_mapping[1]  ,      (len(_lowercase       ), len(_lowercase       ) + 1 + len(_lowercase       ))  ,      )

																			lowercase_      :   str        =			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)),
																			# )

																			lowercase_      :   Optional[int]        =			self.rust_tokenizer_class.from_pretrained(
																			    _lowercase  ,      use_fast=_lowercase  ,      add_prefix_space=_lowercase  ,      trim_offsets=_lowercase       )
																			lowercase_      :   Dict        =			tokenizer_r(_lowercase  ,      return_offsets_mapping=_lowercase  ,      add_special_tokens=_lowercase       )
																			self.assertEqual(encoding.offset_mapping[0]  ,      (1, 1 + len(_lowercase       ))       )
																			self.assertEqual(
																			    encoding.offset_mapping[1]  ,      (1 + len(_lowercase       ) + 1, 1 + len(_lowercase       ) + 1 + len(_lowercase       ))  ,      )

																			lowercase_      :   Tuple        =			self.rust_tokenizer_class.from_pretrained(
																			    _lowercase  ,      use_fast=_lowercase  ,      add_prefix_space=_lowercase  ,      trim_offsets=_lowercase       )
																			lowercase_      :   List[str]        =			tokenizer_r(_lowercase  ,      return_offsets_mapping=_lowercase  ,      add_special_tokens=_lowercase       )
																			self.assertEqual(encoding.offset_mapping[0]  ,      (0, 1 + len(_lowercase       ))       )
																			self.assertEqual(
																			    encoding.offset_mapping[1]  ,      (1 + len(_lowercase       ), 1 + len(_lowercase       ) + 1 + len(_lowercase       ))  ,      )

																			lowercase_      :   str        =			self.rust_tokenizer_class.from_pretrained(
																			    _lowercase  ,      use_fast=_lowercase  ,      add_prefix_space=_lowercase  ,      trim_offsets=_lowercase       )
																			lowercase_      :   Any        =			tokenizer_r(_lowercase  ,      return_offsets_mapping=_lowercase  ,      add_special_tokens=_lowercase       )
																			self.assertEqual(encoding.offset_mapping[0]  ,      (0, 1 + len(_lowercase       ))       )
																			self.assertEqual(
																			    encoding.offset_mapping[1]  ,      (1 + len(_lowercase       ), 1 + len(_lowercase       ) + 1 + len(_lowercase       ))  ,      )








'''simple docstring'''

def 	_UpperCAmelCase    (  a		:	str						,			a		:	str							)			->			float:





						"""simple docstring"""

						def get_matched_characters(a		:	str						,			a		:	str							) -> str:
												lowercase_      :   Union[str, Any]        =			[]
												lowercase_      :   Tuple        =			min(len(_stra							)						,			len(_stra							)							) // 2
												for i, l in enumerate(_stra							):
																		lowercase_      :   Optional[int]        =			int(max(0						,			i - limit							)							)
																		lowercase_      :   Union[str, Any]        =			int(min(i + limit + 1						,			len(_stra							)							)							)
																		if l in _stra[left:right]:
																								matched.append(a							)
																								lowercase_      :   Union[str, Any]        =			f"{_stra[0:_stra.index(a							)]} {_stra[_stra.index(a							) + 1:]}"

												return "".join(a							)

						# matching characters
						lowercase_      :   Union[str, Any]        =			get_matched_characters(a						,			a							)
						lowercase_      :   Optional[Any]        =			get_matched_characters(a						,			a							)
						lowercase_      :   Optional[int]        =			len(a							)

						# transposition
						lowercase_      :   Dict        =			(
						    len([(ca, ca) for ca, ca in zip(a						,			a							) if ca != ca]							) // 2
						)

						if not match_count:
												lowercase_      :   List[str]        =			0.0
						else:
												lowercase_      :   Any        =			(
												    1
												    / 3
												    * (
												        match_count / len(a							)
												        + match_count / len(a							)
												        + (match_count - transpositions) / match_count
												    )
												)

						# common prefix up to 4 characters
						lowercase_      :   Optional[Any]        =			0
						for ca, ca in zip(stra[:4]						,			stra[:4]							):
												if ca == ca:
																		prefix_len += 1
												else:
																		break

						return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						print(jaro_winkler("hello", "world"))
