

'''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 		__SCREAMING_SNAKE_CASE       ( lowercase__	,       unittest.TestCase			):
				lowerCamelCase_							=						RobertaTokenizer
				lowerCamelCase_							=						RobertaTokenizerFast
				lowerCamelCase_							=						True
				lowerCamelCase_							=						{'cls_token': '<s>'}







				def    lowerCamelCase_  (					self    :		Optional[Any]      ):
										'''simple docstring'''
										super().setUp()

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

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







				def    lowerCamelCase_  (					self    :		Tuple		,				**UpperCAmelCase__    :		Optional[int]      ):
										'''simple docstring'''
										kwargs.update(self.special_tokens_map      )
										return self.tokenizer_class.from_pretrained(self.tmpdirname		,				**UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		List[Any]		,				**UpperCAmelCase__    :		List[str]      ):
										'''simple docstring'''
										kwargs.update(self.special_tokens_map      )
										return RobertaTokenizerFast.from_pretrained(self.tmpdirname		,				**UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		Any		,				UpperCAmelCase__    :		Union[str, Any]      ):
										'''simple docstring'''
										lowercase   :       Any								='''lower newer'''
										lowercase   :       Union[str, Any]								='''lower newer'''
										return input_text, output_text







				def    lowerCamelCase_  (					self    :		Any      ):
										'''simple docstring'''
										lowercase   :       List[Any]								=self.tokenizer_class(self.vocab_file		,				self.merges_file		,				**self.special_tokens_map      )
										lowercase   :       Optional[int]								='''lower newer'''
										lowercase   :       Tuple								=['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
										lowercase   :       str								=tokenizer.tokenize(UpperCAmelCase__      )  # , add_prefix_space=True)
										self.assertListEqual(UpperCAmelCase__		,				UpperCAmelCase__      )

										lowercase   :       Optional[int]								=tokens + [tokenizer.unk_token]
										lowercase   :       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    :		List[str]      ):
										'''simple docstring'''
										lowercase   :       int								=self.get_tokenizer()

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







				@slow
				def    lowerCamelCase_  (					self    :		Any      ):
										'''simple docstring'''
										lowercase   :       List[Any]								=self.tokenizer_class.from_pretrained('''roberta-base'''      )

										lowercase   :       List[Any]								=tokenizer.encode('''sequence builders'''		,				add_special_tokens=UpperCAmelCase__      )
										lowercase   :       Any								=tokenizer.encode('''multi-sequence build'''		,				add_special_tokens=UpperCAmelCase__      )

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

										lowercase   :       Union[str, Any]								=tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__      )
										lowercase   :       List[Any]								=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    :		str      ):
										'''simple docstring'''
										lowercase   :       Any								=self.get_tokenizer()

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

										# Testing encoder arguments
										lowercase   :       str								=tokenizer.encode(UpperCAmelCase__		,				add_special_tokens=UpperCAmelCase__		,				add_prefix_space=UpperCAmelCase__      )
										lowercase   :       Union[str, Any]								=tokenizer.convert_ids_to_tokens(encoded[0]      )[0]
										self.assertNotEqual(UpperCAmelCase__		,				UpperCAmelCase__      )

										lowercase   :       str								=tokenizer.encode(UpperCAmelCase__		,				add_special_tokens=UpperCAmelCase__		,				add_prefix_space=UpperCAmelCase__      )
										lowercase   :       Any								=tokenizer.convert_ids_to_tokens(encoded[0]      )[0]
										self.assertEqual(UpperCAmelCase__		,				UpperCAmelCase__      )

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

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

										lowercase   :       int								='''Encode <mask> sequence'''
										lowercase   :       Any								='''Encode <mask>sequence'''

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

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







				def    lowerCamelCase_  (					self    :		Any      ):
										'''simple docstring'''
										pass







				def    lowerCamelCase_  (					self    :		Any      ):
										'''simple docstring'''
										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
																						lowercase   :       Any								=self.rust_tokenizer_class.from_pretrained(UpperCAmelCase__		,				**UpperCAmelCase__      )
																						lowercase   :       Optional[Any]								=self.tokenizer_class.from_pretrained(UpperCAmelCase__		,				**UpperCAmelCase__      )
																						lowercase   :       int								='''A, <mask> AllenNLP sentence.'''
																						lowercase   :       List[str]								=tokenizer_r.encode_plus(UpperCAmelCase__		,				add_special_tokens=UpperCAmelCase__		,				return_token_type_ids=UpperCAmelCase__      )
																						lowercase   :       Dict								=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''']      )		,				)

																						lowercase   :       Optional[Any]								=tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']      )
																						lowercase   :       int								=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(
																						    UpperCAmelCase__		,				['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']      )
																						self.assertSequenceEqual(
																						    UpperCAmelCase__		,				['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']      )







				def    lowerCamelCase_  (					self    :		Any      ):
										'''simple docstring'''
										for trim_offsets, add_prefix_space in itertools.product([True, False]		,				repeat=2      ):
																lowercase   :       str								=self.rust_tokenizer_class.from_pretrained(
																    self.tmpdirname		,				use_fast=UpperCAmelCase__		,				add_prefix_space=UpperCAmelCase__		,				trim_offsets=UpperCAmelCase__      )

																lowercase   :       str								=json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()      )
																lowercase   :       Optional[Any]								=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    :		Any      ):
										'''simple docstring'''
										# 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   :       List[str]								='''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
																						lowercase   :       Union[str, Any]								=F'''{text_of_1_token} {text_of_1_token}'''

																						lowercase   :       Any								=self.rust_tokenizer_class.from_pretrained(
																						    UpperCAmelCase__		,				use_fast=UpperCAmelCase__		,				add_prefix_space=UpperCAmelCase__		,				trim_offsets=UpperCAmelCase__      )
																						lowercase   :       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__      ))		,				)

																						lowercase   :       Optional[int]								=self.rust_tokenizer_class.from_pretrained(
																						    UpperCAmelCase__		,				use_fast=UpperCAmelCase__		,				add_prefix_space=UpperCAmelCase__		,				trim_offsets=UpperCAmelCase__      )
																						lowercase   :       List[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__      ))		,				)

																						lowercase   :       Optional[int]								=self.rust_tokenizer_class.from_pretrained(
																						    UpperCAmelCase__		,				use_fast=UpperCAmelCase__		,				add_prefix_space=UpperCAmelCase__		,				trim_offsets=UpperCAmelCase__      )
																						lowercase   :       Optional[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__      ))		,				)

																						lowercase   :       List[str]								=self.rust_tokenizer_class.from_pretrained(
																						    UpperCAmelCase__		,				use_fast=UpperCAmelCase__		,				add_prefix_space=UpperCAmelCase__		,				trim_offsets=UpperCAmelCase__      )
																						lowercase   :       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__      ), len(UpperCAmelCase__      ) + 1 + len(UpperCAmelCase__      ))		,				)

																						lowercase   :       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)),
																						# )

																						lowercase   :       int								=self.rust_tokenizer_class.from_pretrained(
																						    UpperCAmelCase__		,				use_fast=UpperCAmelCase__		,				add_prefix_space=UpperCAmelCase__		,				trim_offsets=UpperCAmelCase__      )
																						lowercase   :       Dict								=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__      ))		,				)

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

																						lowercase   :       Optional[int]								=self.rust_tokenizer_class.from_pretrained(
																						    UpperCAmelCase__		,				use_fast=UpperCAmelCase__		,				add_prefix_space=UpperCAmelCase__		,				trim_offsets=UpperCAmelCase__      )
																						lowercase   :       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__      ))		,				)








'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    int      ,   __magic_name__	:    Optional[Any]	)							->     str:
						lowercase   :       Optional[Any]								=[0 for i in range(r + 1	)]
						# nc0 = 1
						lowercase   :       Optional[Any]								=1
						for i in range(1      ,   n + 1	):
												# to compute current row from previous row.
												lowercase   :       str								=min(__magic_name__      ,   __magic_name__	)
												while j > 0:
																		c[j] += c[j - 1]
																		j -= 1
						return c[r]







print(binomial_coefficient(n=10, r=5))





