
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 							lowerCAmelCase_						(    __lowerCamelCase			,		unittest.TestCase							):




			'''simple docstring'''


			_lowercase      =							LongformerTokenizer
			_lowercase      =							True
			_lowercase      =							LongformerTokenizerFast
			_lowercase      =							True







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

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

										SCREAMING_SNAKE_CASE_	:							int											=os.path.join(self.tmpdirname    ,							VOCAB_FILES_NAMES['vocab_file']  )
										SCREAMING_SNAKE_CASE_	:							Optional[int]											=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      __lowerCamelCase    (	self    ,							**__UpperCAmelCase  ):
										kwargs.update(self.special_tokens_map  )
										return self.tokenizer_class.from_pretrained(self.tmpdirname    ,							**lowerCamelCase__  )







			def      __lowerCamelCase    (	self    ,							**__UpperCAmelCase  ):
										kwargs.update(self.special_tokens_map  )
										return self.rust_tokenizer_class.from_pretrained(self.tmpdirname    ,							**lowerCamelCase__  )







			def      __lowerCamelCase    (	self    ,							__UpperCAmelCase  ):
										SCREAMING_SNAKE_CASE_	:							Tuple											='lower newer'
										SCREAMING_SNAKE_CASE_	:							Tuple											='lower newer'
										return input_text, output_text







			def      __lowerCamelCase    (	self  ):
										SCREAMING_SNAKE_CASE_	:							Optional[int]											=self.tokenizer_class(self.vocab_file    ,							self.merges_file    ,							**self.special_tokens_map  )
										SCREAMING_SNAKE_CASE_	:							Any											='lower newer'
										SCREAMING_SNAKE_CASE_	:							Tuple											=['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
										SCREAMING_SNAKE_CASE_	:							Dict											=tokenizer.tokenize(lowerCamelCase__  )  # , add_prefix_space=True)
										self.assertListEqual(lowerCamelCase__    ,							lowerCamelCase__  )

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







			def      __lowerCamelCase    (	self  ):
										SCREAMING_SNAKE_CASE_	:							Dict											=self.get_tokenizer()

										self.assertListEqual(tokenizer.encode('Hello world!'    ,							add_special_tokens=lowerCamelCase__  )    ,							[0, 31_414, 232, 328, 2]  )
										self.assertListEqual(
										    tokenizer.encode('Hello world! cécé herlolip 418'    ,							add_special_tokens=lowerCamelCase__  )    ,							[0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]    ,							)







			@slow
			def      __lowerCamelCase    (	self  ):
										SCREAMING_SNAKE_CASE_	:							Tuple											=self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'  )

										SCREAMING_SNAKE_CASE_	:							List[str]											=tokenizer.encode('sequence builders'    ,							add_special_tokens=lowerCamelCase__  )
										SCREAMING_SNAKE_CASE_	:							Tuple											=tokenizer.encode('multi-sequence build'    ,							add_special_tokens=lowerCamelCase__  )

										SCREAMING_SNAKE_CASE_	:							str											=tokenizer.encode(
										    'sequence builders'    ,							add_special_tokens=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__  )
										SCREAMING_SNAKE_CASE_	:							Tuple											=tokenizer.encode(
										    'sequence builders'    ,							'multi-sequence build'    ,							add_special_tokens=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__  )

										SCREAMING_SNAKE_CASE_	:							List[Any]											=tokenizer.build_inputs_with_special_tokens(lowerCamelCase__  )
										SCREAMING_SNAKE_CASE_	:							List[Any]											=tokenizer.build_inputs_with_special_tokens(lowerCamelCase__    ,							lowerCamelCase__  )

										assert encoded_sentence == encoded_text_from_decode
										assert encoded_pair == encoded_pair_from_decode







			def      __lowerCamelCase    (	self  ):
										SCREAMING_SNAKE_CASE_	:							List[str]											=self.get_tokenizer()

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

										# Testing encoder arguments
										SCREAMING_SNAKE_CASE_	:							List[str]											=tokenizer.encode(lowerCamelCase__    ,							add_special_tokens=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__  )
										SCREAMING_SNAKE_CASE_	:							Tuple											=tokenizer.convert_ids_to_tokens(encoded[0]  )[0]
										self.assertNotEqual(lowerCamelCase__    ,							lowerCamelCase__  )

										SCREAMING_SNAKE_CASE_	:							Dict											=tokenizer.encode(lowerCamelCase__    ,							add_special_tokens=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__  )
										SCREAMING_SNAKE_CASE_	:							Tuple											=tokenizer.convert_ids_to_tokens(encoded[0]  )[0]
										self.assertEqual(lowerCamelCase__    ,							lowerCamelCase__  )

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

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

										SCREAMING_SNAKE_CASE_	:							Tuple											='Encode <mask> sequence'
										SCREAMING_SNAKE_CASE_	:							str											='Encode <mask>sequence'

										SCREAMING_SNAKE_CASE_	:							str											=tokenizer.encode(lowerCamelCase__  )
										SCREAMING_SNAKE_CASE_	:							Any											=encoded.index(lowerCamelCase__  )
										SCREAMING_SNAKE_CASE_	:							Any											=tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]  )[0]
										self.assertEqual(lowerCamelCase__    ,							lowerCamelCase__  )

										SCREAMING_SNAKE_CASE_	:							Tuple											=tokenizer.encode(lowerCamelCase__  )
										SCREAMING_SNAKE_CASE_	:							int											=encoded.index(lowerCamelCase__  )
										SCREAMING_SNAKE_CASE_	:							Any											=tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]  )[0]
										self.assertNotEqual(lowerCamelCase__    ,							lowerCamelCase__  )







			def      __lowerCamelCase    (	self  ):
										pass







			def      __lowerCamelCase    (	self  ):





										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
																								SCREAMING_SNAKE_CASE_	:							Tuple											=self.rust_tokenizer_class.from_pretrained(lowerCamelCase__    ,							**lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							Union[str, Any]											=self.tokenizer_class.from_pretrained(lowerCamelCase__    ,							**lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							List[Any]											='A, <mask> AllenNLP sentence.'
																								SCREAMING_SNAKE_CASE_	:							Optional[Any]											=tokenizer_r.encode_plus(lowerCamelCase__    ,							add_special_tokens=lowerCamelCase__    ,							return_token_type_ids=lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							Tuple											=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']  )    ,							)

																								SCREAMING_SNAKE_CASE_	:							int											=tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']  )
																								SCREAMING_SNAKE_CASE_	:							Optional[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, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]  )
																								self.assertSequenceEqual(tokens_r['input_ids']    ,							[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 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      __lowerCamelCase    (	self  ):





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

																	SCREAMING_SNAKE_CASE_	:							Optional[int]											=json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()  )
																	SCREAMING_SNAKE_CASE_	:							List[str]											=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      __lowerCamelCase    (	self  ):





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

																								SCREAMING_SNAKE_CASE_	:							Optional[Any]											=self.rust_tokenizer_class.from_pretrained(
																								    lowerCamelCase__    ,							use_fast=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__    ,							trim_offsets=lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							Union[str, Any]											=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__  ))    ,							)

																								SCREAMING_SNAKE_CASE_	:							Optional[Any]											=self.rust_tokenizer_class.from_pretrained(
																								    lowerCamelCase__    ,							use_fast=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__    ,							trim_offsets=lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							str											=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__  ))    ,							)

																								SCREAMING_SNAKE_CASE_	:							List[str]											=self.rust_tokenizer_class.from_pretrained(
																								    lowerCamelCase__    ,							use_fast=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__    ,							trim_offsets=lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							Any											=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__  ))    ,							)

																								SCREAMING_SNAKE_CASE_	:							Optional[Any]											=self.rust_tokenizer_class.from_pretrained(
																								    lowerCamelCase__    ,							use_fast=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__    ,							trim_offsets=lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							int											=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__  ))    ,							)

																								SCREAMING_SNAKE_CASE_	:							Tuple											=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_	:							Dict											=self.rust_tokenizer_class.from_pretrained(
																								    lowerCamelCase__    ,							use_fast=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__    ,							trim_offsets=lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							Tuple											=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__  ))    ,							)

																								SCREAMING_SNAKE_CASE_	:							int											=self.rust_tokenizer_class.from_pretrained(
																								    lowerCamelCase__    ,							use_fast=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__    ,							trim_offsets=lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							List[Any]											=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__  ))    ,							)

																								SCREAMING_SNAKE_CASE_	:							Any											=self.rust_tokenizer_class.from_pretrained(
																								    lowerCamelCase__    ,							use_fast=lowerCamelCase__    ,							add_prefix_space=lowerCamelCase__    ,							trim_offsets=lowerCamelCase__  )
																								SCREAMING_SNAKE_CASE_	:							List[Any]											=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__  ))    ,							)








from math import factorial, radians







def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE = 18		,				SCREAMING_SNAKE_CASE = 10   ):
      '''simple docstring'''







      A_							       =		angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)

      # Converting from degrees to radians
      A_							       =		radians(SCREAMING_SNAKE_CASE   )

      A_							       =		angle_in_radians
      A_							       =		3
      A_							       =		-1

      for _ in range(SCREAMING_SNAKE_CASE   ):
            result += (b * (angle_in_radians**a)) / factorial(SCREAMING_SNAKE_CASE   )

            A_							       =		-b  # One positive term and the next will be negative and so on...
            a += 2  # Increased by 2 for every term.

      return round(SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   )


if __name__ == "__main__":
      __import__("""doctest""").testmod()





