




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 ):
						lowerCAmelCase__			      =LongformerTokenizer
						lowerCAmelCase__			      =True
						lowerCAmelCase__			      =LongformerTokenizerFast
						lowerCAmelCase__			      =True



						def 	__a					(			self	:   List[str]  ):

								"""simple docstring"""

								super().setUp()

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

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



						def 	__a					(			self	:   Union[str, Any]					,							**snake_case__	:   List[str]  ):

								"""simple docstring"""

								kwargs.update(self.special_tokens_map  )
								return self.tokenizer_class.from_pretrained(self.tmpdirname					,							**snake_case__  )



						def 	__a					(			self	:   List[Any]					,							**snake_case__	:   List[Any]  ):

								"""simple docstring"""

								kwargs.update(self.special_tokens_map  )
								return self.rust_tokenizer_class.from_pretrained(self.tmpdirname					,							**snake_case__  )



						def 	__a					(			self	:   List[Any]					,							snake_case__	:   str  ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							'lower newer'
								SCREAMING_SNAKE_CASE_					      =							'lower newer'
								return input_text, output_text



						def 	__a					(			self	:   Tuple  ):

								"""simple docstring"""

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

								SCREAMING_SNAKE_CASE_					      =							tokens + [tokenizer.unk_token]
								SCREAMING_SNAKE_CASE_					      =							[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__  )					,							snake_case__  )



						def 	__a					(			self	:   Optional[int]  ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							self.get_tokenizer()

								self.assertListEqual(tokenizer.encode('Hello world!'					,							add_special_tokens=snake_case__  )					,							[0, 3_14_14, 2_32, 3_28, 2]  )
								self.assertListEqual(
								    tokenizer.encode('Hello world! cécé herlolip 418'					,							add_special_tokens=snake_case__  )					,							[0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]					,							)



						@slow
						def 	__a					(			self	:   Any  ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'  )

								SCREAMING_SNAKE_CASE_					      =							tokenizer.encode('sequence builders'					,							add_special_tokens=snake_case__  )
								SCREAMING_SNAKE_CASE_					      =							tokenizer.encode('multi-sequence build'					,							add_special_tokens=snake_case__  )

								SCREAMING_SNAKE_CASE_					      =							tokenizer.encode(
								    'sequence builders'					,							add_special_tokens=snake_case__					,							add_prefix_space=snake_case__  )
								SCREAMING_SNAKE_CASE_					      =							tokenizer.encode(
								    'sequence builders'					,							'multi-sequence build'					,							add_special_tokens=snake_case__					,							add_prefix_space=snake_case__  )

								SCREAMING_SNAKE_CASE_					      =							tokenizer.build_inputs_with_special_tokens(snake_case__  )
								SCREAMING_SNAKE_CASE_					      =							tokenizer.build_inputs_with_special_tokens(snake_case__					,							snake_case__  )

								assert encoded_sentence == encoded_text_from_decode
								assert encoded_pair == encoded_pair_from_decode



						def 	__a					(			self	:   List[Any]  ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							self.get_tokenizer()

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

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

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

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

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

								SCREAMING_SNAKE_CASE_					      =							'Encode <mask> sequence'
								SCREAMING_SNAKE_CASE_					      =							'Encode <mask>sequence'

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

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



						def 	__a					(			self	:   Optional[int]  ):

								"""simple docstring"""

								pass



						def 	__a					(			self	:   Optional[int]  ):

								"""simple docstring"""

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

												# 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']  )					,							)

												SCREAMING_SNAKE_CASE_					      =							tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']  )
												SCREAMING_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_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]  )
												self.assertSequenceEqual(tokens_r['input_ids']					,							[0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]  )

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



						def 	__a					(			self	:   int  ):

								"""simple docstring"""

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

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

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

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






						def 	__a					(			self	:   Optional[int]  ):

								"""simple docstring"""

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

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

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

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

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

												SCREAMING_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)),
												# )

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

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

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





from math import isqrt


def 					_a							(					lowerCAmelCase )->	bool:
		return all(number % divisor != 0 for divisor in range(2    ,						isqrt(lowerCAmelCase ) + 1 ) )


def 					_a							(					lowerCAmelCase = 10**6 )->	int:
		SCREAMING_SNAKE_CASE_					      =							0
		SCREAMING_SNAKE_CASE_					      =							1
		SCREAMING_SNAKE_CASE_					      =							7
		while prime_candidate < max_prime:
				primes_count += is_prime(lowerCAmelCase )

				cube_index += 1
				prime_candidate += 6 * cube_index

		return primes_count


if __name__ == "__main__":
						print(f"""{solution() = }""")