
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     lowercase		( SCREAMING_SNAKE_CASE__	,  unittest.TestCase		):
							lowercase_	:	str	 =LongformerTokenizer
							lowercase_	:	Dict	 =True
							lowercase_	:	Dict	 =LongformerTokenizerFast
							lowercase_	:	str	 =True




							def 			A__				(    self):
												super().setUp()

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

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




							def 			A__				(    self       ,**A__):
												kwargs.update(self.special_tokens_map)
												return self.tokenizer_class.from_pretrained(self.tmpdirname       ,**A__)




							def 			A__				(    self       ,**A__):
												kwargs.update(self.special_tokens_map)
												return self.rust_tokenizer_class.from_pretrained(self.tmpdirname       ,**A__)




							def 			A__				(    self       ,A__):
												lowercase						     =						'''lower newer'''
												lowercase						     =						'''lower newer'''
												return input_text, output_text




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

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




							def 			A__				(    self):
												lowercase						     =						self.get_tokenizer()

												self.assertListEqual(tokenizer.encode('''Hello world!'''       ,add_special_tokens=A__)       ,[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=A__)       ,[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 			A__				(    self):
												lowercase						     =						self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096''')

												lowercase						     =						tokenizer.encode('''sequence builders'''       ,add_special_tokens=A__)
												lowercase						     =						tokenizer.encode('''multi-sequence build'''       ,add_special_tokens=A__)

												lowercase						     =						tokenizer.encode(
												    '''sequence builders'''       ,add_special_tokens=A__       ,add_prefix_space=A__)
												lowercase						     =						tokenizer.encode(
												    '''sequence builders'''       ,'''multi-sequence build'''       ,add_special_tokens=A__       ,add_prefix_space=A__)

												lowercase						     =						tokenizer.build_inputs_with_special_tokens(A__)
												lowercase						     =						tokenizer.build_inputs_with_special_tokens(A__       ,A__)

												assert encoded_sentence == encoded_text_from_decode
												assert encoded_pair == encoded_pair_from_decode




							def 			A__				(    self):
												lowercase						     =						self.get_tokenizer()

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

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

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

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

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

												lowercase						     =						'''Encode <mask> sequence'''
												lowercase						     =						'''Encode <mask>sequence'''

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

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




							def 			A__				(    self):
												pass




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

																						# 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						     =						tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids'''])
																						lowercase						     =						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(
																						    A__       ,['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''])
																						self.assertSequenceEqual(
																						    A__       ,['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>'''])




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

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

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

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





							def 			A__				(    self):
												# 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						     =						'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
																						lowercase						     =						f'{text_of_1_token} {text_of_1_token}'

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

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

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

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

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

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

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






lowercase__		:List[str]			  =   6_5521



def 	UpperCamelCase   (							lowerCAmelCase__		):
					'''simple docstring'''
					lowercase						     =						1
					lowercase						     =						0
					for plain_chr in plain_text:
										lowercase						     =						(a + ord(lowerCAmelCase__		)) % MOD_ADLER
										lowercase						     =						(b + a) % MOD_ADLER
					return (b << 16) | a




