





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    ( lowerCAmelCase__	, unittest.TestCase  ):







	'''simple docstring'''

	a      :			Tuple     =    LongformerTokenizer
	a      :			Any     =    True
	a      :			str     =    LongformerTokenizerFast
	a      :			str     =    True


	def   _UpperCAmelCase       (self	)							->							List[Any]:







				'''simple docstring'''





				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(_lowerCamelCase       ,range(len(_lowerCamelCase	)	)	)	)
				__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(_lowerCamelCase	) + '''\n'''	)
				with open(self.merges_file       ,'''w'''       ,encoding='''utf-8'''	) as fp:
							fp.write('''\n'''.join(_lowerCamelCase	)	)


	def   _UpperCAmelCase       (self       ,**_lowerCamelCase	)							->							Union[str, Any]:







				'''simple docstring'''





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


	def   _UpperCAmelCase       (self       ,**_lowerCamelCase	)							->							Any:







				'''simple docstring'''





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


	def   _UpperCAmelCase       (self       ,_lowerCamelCase	)							->							Optional[int]:







				'''simple docstring'''





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


	def   _UpperCAmelCase       (self	)							->							int:







				'''simple docstring'''





				__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(_lowerCamelCase	)  # , add_prefix_space=True)
				self.assertListEqual(_lowerCamelCase       ,_lowerCamelCase	)

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


	def   _UpperCAmelCase       (self	)							->							Optional[Any]:







				'''simple docstring'''





				__lowercase			  =							self.get_tokenizer()

				self.assertListEqual(tokenizer.encode('''Hello world!'''       ,add_special_tokens=_lowerCamelCase	)       ,[0, 31414, 232, 328, 2]	)
				self.assertListEqual(
				    tokenizer.encode('''Hello world! cécé herlolip 418'''       ,add_special_tokens=_lowerCamelCase	)       ,[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]       ,)


	@slow
	def   _UpperCAmelCase       (self	)							->							Optional[int]:







				'''simple docstring'''





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

				__lowercase			  =							tokenizer.encode('''sequence builders'''       ,add_special_tokens=_lowerCamelCase	)
				__lowercase			  =							tokenizer.encode('''multi-sequence build'''       ,add_special_tokens=_lowerCamelCase	)

				__lowercase			  =							tokenizer.encode(
				    '''sequence builders'''       ,add_special_tokens=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase	)
				__lowercase			  =							tokenizer.encode(
				    '''sequence builders'''       ,'''multi-sequence build'''       ,add_special_tokens=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase	)

				__lowercase			  =							tokenizer.build_inputs_with_special_tokens(_lowerCamelCase	)
				__lowercase			  =							tokenizer.build_inputs_with_special_tokens(_lowerCamelCase       ,_lowerCamelCase	)

				assert encoded_sentence == encoded_text_from_decode
				assert encoded_pair == encoded_pair_from_decode


	def   _UpperCAmelCase       (self	)							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase			  =							self.get_tokenizer()

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

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

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

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

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

				__lowercase			  =							'''Encode <mask> sequence'''
				__lowercase			  =							'''Encode <mask>sequence'''

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

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


	def   _UpperCAmelCase       (self	)							->							Tuple:







				'''simple docstring'''





				pass


	def   _UpperCAmelCase       (self	)							->							int:







				'''simple docstring'''





				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(_lowerCamelCase       ,**_lowerCamelCase	)
										__lowercase			  =							self.tokenizer_class.from_pretrained(_lowerCamelCase       ,**_lowerCamelCase	)
										__lowercase			  =							'''A, <mask> AllenNLP sentence.'''
										__lowercase			  =							tokenizer_r.encode_plus(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase       ,return_token_type_ids=_lowerCamelCase	)
										__lowercase			  =							tokenizer_p.encode_plus(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase       ,return_token_type_ids=_lowerCamelCase	)

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


	def   _UpperCAmelCase       (self	)							->							List[str]:







				'''simple docstring'''





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

							__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''']       ,_lowerCamelCase	)

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


	def   _UpperCAmelCase       (self	)							->							int:







				'''simple docstring'''





				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(
										    _lowerCamelCase       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)
										__lowercase			  =							tokenizer_r(_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
										self.assertEqual(encoding.offset_mapping[0]       ,(0, len(_lowerCamelCase	))	)
										self.assertEqual(
										    encoding.offset_mapping[1]       ,(len(_lowerCamelCase	) + 1, len(_lowerCamelCase	) + 1 + len(_lowerCamelCase	))       ,)

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

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

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

										__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(
										    _lowerCamelCase       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)
										__lowercase			  =							tokenizer_r(_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
										self.assertEqual(encoding.offset_mapping[0]       ,(1, 1 + len(_lowerCamelCase	))	)
										self.assertEqual(
										    encoding.offset_mapping[1]       ,(1 + len(_lowerCamelCase	) + 1, 1 + len(_lowerCamelCase	) + 1 + len(_lowerCamelCase	))       ,)

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

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












'''simple docstring'''



def 				_lowerCAmelCase  (			lowerCamelCase_     :					int = 6_0_0_8_5_1_4_7_5_1_4_3			):

			try:
						__lowercase			  =							int(lowerCamelCase_			)
			except (TypeError, ValueError):
						raise TypeError('''Parameter n must be int or castable to int.'''			)
			if n <= 0:
						raise ValueError('''Parameter n must be greater than or equal to one.'''			)
			__lowercase			  =							1
			__lowercase			  =							2
			while i * i <= n:
						while n % i == 0:
									__lowercase			  =							i
									n //= i
						i += 1
			if n > 1:
						__lowercase			  =							n
			return int(lowerCamelCase_			)


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





