


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 		__a      (				_UpperCAmelCase    ,      unittest.TestCase			):
		_a	:  Union[str, Any]				=	RobertaTokenizer
		_a	:  List[str]				=	RobertaTokenizerFast
		_a	:  List[str]				=	True
		_a	:  List[str]				=	{"""cls_token""": """<s>"""}
		def 	UpperCAmelCase__				(			self						) ->       Tuple:




									"""simple docstring"""





									super().setUp()

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

									_UpperCAmelCase 		=			os.path.join(self.tmpdirname			,    VOCAB_FILES_NAMES['vocab_file']						)
									_UpperCAmelCase 		=			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 	UpperCAmelCase__				(			self			,    **_SCREAMING_SNAKE_CASE						) ->       List[str]:




									"""simple docstring"""





									kwargs.update(self.special_tokens_map						)
									return self.tokenizer_class.from_pretrained(self.tmpdirname			,    **UpperCAmelCase_						)
		def 	UpperCAmelCase__				(			self			,    **_SCREAMING_SNAKE_CASE						) ->       Optional[int]:




									"""simple docstring"""





									kwargs.update(self.special_tokens_map						)
									return RobertaTokenizerFast.from_pretrained(self.tmpdirname			,    **UpperCAmelCase_						)
		def 	UpperCAmelCase__				(			self			,    _SCREAMING_SNAKE_CASE						) ->       List[str]:




									"""simple docstring"""





									_UpperCAmelCase 		=			'lower newer'
									_UpperCAmelCase 		=			'lower newer'
									return input_text, output_text
		def 	UpperCAmelCase__				(			self						) ->       List[str]:




									"""simple docstring"""





									_UpperCAmelCase 		=			self.tokenizer_class(self.vocab_file			,    self.merges_file			,    **self.special_tokens_map						)
									_UpperCAmelCase 		=			'lower newer'
									_UpperCAmelCase 		=			['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
									_UpperCAmelCase 		=			tokenizer.tokenize(UpperCAmelCase_						)  # , add_prefix_space=True)
									self.assertListEqual(UpperCAmelCase_			,    UpperCAmelCase_						)

									_UpperCAmelCase 		=			tokens + [tokenizer.unk_token]
									_UpperCAmelCase 		=			[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_						)			,    UpperCAmelCase_						)
		def 	UpperCAmelCase__				(			self						) ->       Optional[Any]:




									"""simple docstring"""





									_UpperCAmelCase 		=			self.get_tokenizer()

									self.assertListEqual(tokenizer.encode('Hello world!'			,    add_special_tokens=UpperCAmelCase_						)			,    [0, 31414, 232, 328, 2]						)
									self.assertListEqual(
									    tokenizer.encode('Hello world! cécé herlolip 418'			,    add_special_tokens=UpperCAmelCase_						)			,    [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]			,    )
		@slow
		def 	UpperCAmelCase__				(			self						) ->       Union[str, Any]:




									"""simple docstring"""





									_UpperCAmelCase 		=			self.tokenizer_class.from_pretrained('roberta-base'						)

									_UpperCAmelCase 		=			tokenizer.encode('sequence builders'			,    add_special_tokens=UpperCAmelCase_						)
									_UpperCAmelCase 		=			tokenizer.encode('multi-sequence build'			,    add_special_tokens=UpperCAmelCase_						)

									_UpperCAmelCase 		=			tokenizer.encode(
									    'sequence builders'			,    add_special_tokens=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_						)
									_UpperCAmelCase 		=			tokenizer.encode(
									    'sequence builders'			,    'multi-sequence build'			,    add_special_tokens=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_						)

									_UpperCAmelCase 		=			tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_						)
									_UpperCAmelCase 		=			tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_			,    UpperCAmelCase_						)

									assert encoded_sentence == encoded_text_from_decode
									assert encoded_pair == encoded_pair_from_decode
		def 	UpperCAmelCase__				(			self						) ->       Optional[int]:




									"""simple docstring"""





									_UpperCAmelCase 		=			self.get_tokenizer()

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

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

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

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

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

									_UpperCAmelCase 		=			'Encode <mask> sequence'
									_UpperCAmelCase 		=			'Encode <mask>sequence'

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

									_UpperCAmelCase 		=			tokenizer.encode(UpperCAmelCase_						)
									_UpperCAmelCase 		=			encoded.index(UpperCAmelCase_						)
									_UpperCAmelCase 		=			tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
									self.assertNotEqual(UpperCAmelCase_			,    UpperCAmelCase_						)
		def 	UpperCAmelCase__				(			self						) ->       Optional[Any]:




									"""simple docstring"""





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




									"""simple docstring"""





									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
																							_UpperCAmelCase 		=			self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_			,    **UpperCAmelCase_						)
																							_UpperCAmelCase 		=			self.tokenizer_class.from_pretrained(UpperCAmelCase_			,    **UpperCAmelCase_						)
																							_UpperCAmelCase 		=			'A, <mask> AllenNLP sentence.'
																							_UpperCAmelCase 		=			tokenizer_r.encode_plus(UpperCAmelCase_			,    add_special_tokens=UpperCAmelCase_			,    return_token_type_ids=UpperCAmelCase_						)
																							_UpperCAmelCase 		=			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']						)			,    )

																							_UpperCAmelCase 		=			tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']						)
																							_UpperCAmelCase 		=			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, 50264, 3823, 487, 21992, 3645, 4, 2]						)
																							self.assertSequenceEqual(tokens_r['input_ids']			,    [0, 250, 6, 50264, 3823, 487, 21992, 3645, 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 	UpperCAmelCase__				(			self						) ->       int:




									"""simple docstring"""





									for trim_offsets, add_prefix_space in itertools.product([True, False]			,    repeat=2						):
																_UpperCAmelCase 		=			self.rust_tokenizer_class.from_pretrained(
																    self.tmpdirname			,    use_fast=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_			,    trim_offsets=UpperCAmelCase_						)

																_UpperCAmelCase 		=			json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()						)
																_UpperCAmelCase 		=			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 	UpperCAmelCase__				(			self						) ->       List[Any]:




									"""simple docstring"""





									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
																							_UpperCAmelCase 		=			'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
																							_UpperCAmelCase 		=			f'''{text_of_1_token} {text_of_1_token}'''

																							_UpperCAmelCase 		=			self.rust_tokenizer_class.from_pretrained(
																							    UpperCAmelCase_			,    use_fast=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_			,    trim_offsets=UpperCAmelCase_						)
																							_UpperCAmelCase 		=			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_						))			,    )

																							_UpperCAmelCase 		=			self.rust_tokenizer_class.from_pretrained(
																							    UpperCAmelCase_			,    use_fast=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_			,    trim_offsets=UpperCAmelCase_						)
																							_UpperCAmelCase 		=			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_						))			,    )

																							_UpperCAmelCase 		=			self.rust_tokenizer_class.from_pretrained(
																							    UpperCAmelCase_			,    use_fast=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_			,    trim_offsets=UpperCAmelCase_						)
																							_UpperCAmelCase 		=			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_						))			,    )

																							_UpperCAmelCase 		=			self.rust_tokenizer_class.from_pretrained(
																							    UpperCAmelCase_			,    use_fast=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_			,    trim_offsets=UpperCAmelCase_						)
																							_UpperCAmelCase 		=			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_						))			,    )

																							_UpperCAmelCase 		=			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)),
																							# )

																							_UpperCAmelCase 		=			self.rust_tokenizer_class.from_pretrained(
																							    UpperCAmelCase_			,    use_fast=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_			,    trim_offsets=UpperCAmelCase_						)
																							_UpperCAmelCase 		=			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_						))			,    )

																							_UpperCAmelCase 		=			self.rust_tokenizer_class.from_pretrained(
																							    UpperCAmelCase_			,    use_fast=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_			,    trim_offsets=UpperCAmelCase_						)
																							_UpperCAmelCase 		=			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_						))			,    )

																							_UpperCAmelCase 		=			self.rust_tokenizer_class.from_pretrained(
																							    UpperCAmelCase_			,    use_fast=UpperCAmelCase_			,    add_prefix_space=UpperCAmelCase_			,    trim_offsets=UpperCAmelCase_						)
																							_UpperCAmelCase 		=			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_						))			,    )


import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 						lowercase__  (						_UpperCAmelCase     ,       unittest.TestCase  ):
	A__    :   Dict				       =LxmertTokenizer
	A__    :   List[Any]				       =LxmertTokenizerFast
	A__    :   Any				       =True
	A__    :   List[Any]				       =True
	def      A_				(			self							:   Optional[Any]							):
						super().setUp()

						SCREAMING_SNAKE_CASE__													= [
						    '[UNK]',
						    '[CLS]',
						    '[SEP]',
						    'want',
						    '##want',
						    '##ed',
						    'wa',
						    'un',
						    'runn',
						    '##ing',
						    ',',
						    'low',
						    'lowest',
						]
						SCREAMING_SNAKE_CASE__													= os.path.join(self.tmpdirname       ,   VOCAB_FILES_NAMES['vocab_file']							)
						with open(self.vocab_file       ,   'w'       ,   encoding='utf-8'							) as vocab_writer:
											vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]							)							)
	def      A_				(			self							:   int       ,   UpperCAmelCase_							:   int							):
						SCREAMING_SNAKE_CASE__													= 'UNwant\u00E9d,running'
						SCREAMING_SNAKE_CASE__													= 'unwanted, running'
						return input_text, output_text
	def      A_				(			self							:   Optional[Any]							):
						SCREAMING_SNAKE_CASE__													= self.tokenizer_class(self.vocab_file							)

						SCREAMING_SNAKE_CASE__													= tokenizer.tokenize('UNwant\u00E9d,running'							)
						self.assertListEqual(UpperCAmelCase_       ,   ['un', '##want', '##ed', ',', 'runn', '##ing']							)
						self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_							)       ,   [7, 4, 5, 10, 8, 9]							)





	def      A_				(			self							:   List[str]							):
						if not self.test_rust_tokenizer:
											return

						SCREAMING_SNAKE_CASE__													= self.get_tokenizer()
						SCREAMING_SNAKE_CASE__													= self.get_rust_tokenizer()

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

						SCREAMING_SNAKE_CASE__													= tokenizer.tokenize(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.tokenize(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= self.get_rust_tokenizer()
						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.encode(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)





