
'''simple docstring'''
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 	snake_case__       (      __SCREAMING_SNAKE_CASE    ,					unittest.TestCase					):







		"""simple docstring"""

		lowerCamelCase     							=						RobertaTokenizer
		lowerCamelCase     							=						RobertaTokenizerFast
		lowerCamelCase     							=						True
		lowerCamelCase     							=						{"""cls_token""": """<s>"""}



		def       lowerCAmelCase				(      self				:			Tuple      )						->			Optional[int]:






				"""simple docstring"""







				super().setUp()

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

				snake_case  :       str     			=						os.path.join(self.tmpdirname  ,	VOCAB_FILES_NAMES['''vocab_file''']      )
				snake_case  :       List[str]     			=						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       lowerCAmelCase				(      self				:			Dict  ,	**UpperCamelCase__				:			List[str]      )						->			Optional[Any]:






				"""simple docstring"""







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



		def       lowerCAmelCase				(      self				:			List[Any]  ,	**UpperCamelCase__				:			Dict      )						->			Tuple:






				"""simple docstring"""







				kwargs.update(self.special_tokens_map      )
				return RobertaTokenizerFast.from_pretrained(self.tmpdirname  ,	**UpperCamelCase__      )



		def       lowerCAmelCase				(      self				:			List[Any]  ,	UpperCamelCase__				:			str      )						->			List[Any]:






				"""simple docstring"""







				snake_case  :       Optional[int]     			=						'''lower newer'''
				snake_case  :       Optional[Any]     			=						'''lower newer'''
				return input_text, output_text



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






				"""simple docstring"""







				snake_case  :       List[Any]     			=						self.tokenizer_class(self.vocab_file  ,	self.merges_file  ,	**self.special_tokens_map      )
				snake_case  :       int     			=						'''lower newer'''
				snake_case  :       str     			=						['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
				snake_case  :       Any     			=						tokenizer.tokenize(UpperCamelCase__      )  # , add_prefix_space=True)
				self.assertListEqual(UpperCamelCase__  ,	UpperCamelCase__      )

				snake_case  :       List[str]     			=						tokens + [tokenizer.unk_token]
				snake_case  :       Union[str, Any]     			=						[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__      )  ,	UpperCamelCase__      )



		def       lowerCAmelCase				(      self				:			str      )						->			Tuple:






				"""simple docstring"""







				snake_case  :       List[str]     			=						self.get_tokenizer()

				self.assertListEqual(tokenizer.encode('''Hello world!'''  ,	add_special_tokens=UpperCamelCase__      )  ,	[0, 3_1414, 232, 328, 2]      )
				self.assertListEqual(
				    tokenizer.encode('''Hello world! cécé herlolip 418'''  ,	add_special_tokens=UpperCamelCase__      )  ,	[0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]  ,	)



		@slow
		def       lowerCAmelCase				(      self				:			Dict      )						->			Optional[Any]:






				"""simple docstring"""







				snake_case  :       str     			=						self.tokenizer_class.from_pretrained('''roberta-base'''      )

				snake_case  :       Union[str, Any]     			=						tokenizer.encode('''sequence builders'''  ,	add_special_tokens=UpperCamelCase__      )
				snake_case  :       Tuple     			=						tokenizer.encode('''multi-sequence build'''  ,	add_special_tokens=UpperCamelCase__      )

				snake_case  :       List[str]     			=						tokenizer.encode(
				    '''sequence builders'''  ,	add_special_tokens=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__      )
				snake_case  :       Any     			=						tokenizer.encode(
				    '''sequence builders'''  ,	'''multi-sequence build'''  ,	add_special_tokens=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__      )

				snake_case  :       List[Any]     			=						tokenizer.build_inputs_with_special_tokens(UpperCamelCase__      )
				snake_case  :       int     			=						tokenizer.build_inputs_with_special_tokens(UpperCamelCase__  ,	UpperCamelCase__      )

				assert encoded_sentence == encoded_text_from_decode
				assert encoded_pair == encoded_pair_from_decode



		def       lowerCAmelCase				(      self				:			int      )						->			Optional[Any]:






				"""simple docstring"""







				snake_case  :       List[str]     			=						self.get_tokenizer()

				snake_case  :       Optional[Any]     			=						'''Encode this sequence.'''
				snake_case  :       str     			=						tokenizer.byte_encoder[''' '''.encode('''utf-8'''      )[0]]

				# Testing encoder arguments
				snake_case  :       Tuple     			=						tokenizer.encode(UpperCamelCase__  ,	add_special_tokens=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__      )
				snake_case  :       Any     			=						tokenizer.convert_ids_to_tokens(encoded[0]      )[0]
				self.assertNotEqual(UpperCamelCase__  ,	UpperCamelCase__      )

				snake_case  :       str     			=						tokenizer.encode(UpperCamelCase__  ,	add_special_tokens=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__      )
				snake_case  :       Dict     			=						tokenizer.convert_ids_to_tokens(encoded[0]      )[0]
				self.assertEqual(UpperCamelCase__  ,	UpperCamelCase__      )

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

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

				snake_case  :       Union[str, Any]     			=						'''Encode <mask> sequence'''
				snake_case  :       int     			=						'''Encode <mask>sequence'''

				snake_case  :       List[Any]     			=						tokenizer.encode(UpperCamelCase__      )
				snake_case  :       Optional[int]     			=						encoded.index(UpperCamelCase__      )
				snake_case  :       List[Any]     			=						tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]      )[0]
				self.assertEqual(UpperCamelCase__  ,	UpperCamelCase__      )

				snake_case  :       List[Any]     			=						tokenizer.encode(UpperCamelCase__      )
				snake_case  :       Optional[Any]     			=						encoded.index(UpperCamelCase__      )
				snake_case  :       List[str]     			=						tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]      )[0]
				self.assertNotEqual(UpperCamelCase__  ,	UpperCamelCase__      )



		def       lowerCAmelCase				(      self				:			Tuple      )						->			Optional[int]:






				"""simple docstring"""







				pass



		def       lowerCAmelCase				(      self				:			List[str]      )						->			Any:






				"""simple docstring"""







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

								snake_case  :       Tuple     			=						tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']      )
								snake_case  :       str     			=						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, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]      )
								self.assertSequenceEqual(tokens_r['''input_ids''']  ,	[0, 250, 6, 5_0264, 3823, 487, 2_1992, 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       lowerCAmelCase				(      self				:			Dict      )						->			int:






				"""simple docstring"""







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

						snake_case  :       List[Any]     			=						json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()      )
						snake_case  :       str     			=						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       lowerCAmelCase				(      self				:			Dict      )						->			Dict:






				"""simple docstring"""







				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
						with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'      ):
								snake_case  :       Union[str, Any]     			=						'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
								snake_case  :       Tuple     			=						f'{text_of_1_token} {text_of_1_token}'

								snake_case  :       Optional[Any]     			=						self.rust_tokenizer_class.from_pretrained(
								    UpperCamelCase__  ,	use_fast=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__  ,	trim_offsets=UpperCamelCase__      )
								snake_case  :       Optional[Any]     			=						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__      ))  ,	)

								snake_case  :       List[str]     			=						self.rust_tokenizer_class.from_pretrained(
								    UpperCamelCase__  ,	use_fast=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__  ,	trim_offsets=UpperCamelCase__      )
								snake_case  :       str     			=						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__      ))  ,	)

								snake_case  :       List[str]     			=						self.rust_tokenizer_class.from_pretrained(
								    UpperCamelCase__  ,	use_fast=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__  ,	trim_offsets=UpperCamelCase__      )
								snake_case  :       Union[str, Any]     			=						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__      ))  ,	)

								snake_case  :       int     			=						self.rust_tokenizer_class.from_pretrained(
								    UpperCamelCase__  ,	use_fast=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__  ,	trim_offsets=UpperCamelCase__      )
								snake_case  :       int     			=						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__      ))  ,	)

								snake_case  :       Any     			=						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)),
								# )

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

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

								snake_case  :       Dict     			=						self.rust_tokenizer_class.from_pretrained(
								    UpperCamelCase__  ,	use_fast=UpperCamelCase__  ,	add_prefix_space=UpperCamelCase__  ,	trim_offsets=UpperCamelCase__      )
								snake_case  :       Union[str, Any]     			=						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__      ))  ,	)




'''simple docstring'''
import numpy as np




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							np.ndarray:


		'''simple docstring'''


		return 1 / (1 + np.exp(-vector			))




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__			)  ->							np.ndarray:


		'''simple docstring'''


		return vector * sigmoid(SCREAMING_SNAKE_CASE__			)


if __name__ == "__main__":
						import doctest

						doctest.testmod()


