



'''simple docstring'''

import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation

a							   =				logging.get_logger(__name__)


a							   =				{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

a							   =				{
    'vocab_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'},
    'merges_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'},
    'tokenizer_config_file': {
        'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'
    },
}

a							   =				{'facebook/blenderbot-3B': 128}







@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def a_     (    )				->					Union[str, Any]:





			"""simple docstring"""







			snake_case:    Optional[int]      							=(
			    list(range(ord('!'					)				,							ord('~'					) + 1					)					) + list(range(ord('¡'					)				,							ord('¬'					) + 1					)					) + list(range(ord('®'					)				,							ord('ÿ'					) + 1					)					)
			)
			snake_case:    Any      							=bs[:]
			snake_case:    Union[str, Any]      							=0
			for b in range(2**8					):
						if b not in bs:
									bs.append(__UpperCAmelCase					)
									cs.append(2**8 + n					)
									n += 1
			snake_case:    List[str]      							=[chr(__UpperCAmelCase					) for n in cs]
			return dict(zip(__UpperCAmelCase				,							__UpperCAmelCase					)					)







def a_     (    __UpperCAmelCase					)				->					List[str]:





			"""simple docstring"""







			snake_case:    Optional[Any]      							=set()
			snake_case:    List[Any]      							=word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)					)
						snake_case:    Dict      							=char
			return pairs







class 						a_		(     snake_case    ):
							UpperCAmelCase			:		Dict        =				VOCAB_FILES_NAMES
							UpperCAmelCase			:		Union[str, Any]        =				PRETRAINED_VOCAB_FILES_MAP
							UpperCAmelCase			:		Dict        =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCAmelCase			:		List[Any]        =				["""input_ids""", """attention_mask"""]


							def __init__(				self   :						Dict      ,						a_   :						Tuple      ,						a_   :						List[str]      ,						a_   :						Optional[Any]="replace"      ,						a_   :						Optional[Any]="<s>"      ,						a_   :						Optional[int]="</s>"      ,						a_   :						List[Any]="</s>"      ,						a_   :						str="<s>"      ,						a_   :						Any="<unk>"      ,						a_   :						Optional[int]="<pad>"      ,						a_   :						Union[str, Any]="<mask>"      ,						a_   :						List[str]=False      ,						**a_   :						Any      ,						)			->					List[Any]:
										snake_case:    Dict      							=AddedToken(a_      ,						lstrip=a_      ,						rstrip=a_			) if isinstance(a_      ,						a_			) else bos_token
										snake_case:    List[str]      							=AddedToken(a_      ,						lstrip=a_      ,						rstrip=a_			) if isinstance(a_      ,						a_			) else eos_token
										snake_case:    List[str]      							=AddedToken(a_      ,						lstrip=a_      ,						rstrip=a_			) if isinstance(a_      ,						a_			) else sep_token
										snake_case:    List[Any]      							=AddedToken(a_      ,						lstrip=a_      ,						rstrip=a_			) if isinstance(a_      ,						a_			) else cls_token
										snake_case:    str      							=AddedToken(a_      ,						lstrip=a_      ,						rstrip=a_			) if isinstance(a_      ,						a_			) else unk_token
										snake_case:    Optional[int]      							=AddedToken(a_      ,						lstrip=a_      ,						rstrip=a_			) if isinstance(a_      ,						a_			) else pad_token

										# Mask token behave like a normal word, i.e. include the space before it
										snake_case:    Union[str, Any]      							=AddedToken(a_      ,						lstrip=a_      ,						rstrip=a_			) if isinstance(a_      ,						a_			) else mask_token

										super().__init__(
										    errors=a_      ,						bos_token=a_      ,						eos_token=a_      ,						unk_token=a_      ,						sep_token=a_      ,						cls_token=a_      ,						pad_token=a_      ,						mask_token=a_      ,						add_prefix_space=a_      ,						**a_      ,						)

										with open(a_      ,						encoding='utf-8'			) as vocab_handle:
													snake_case:    Union[str, Any]      							=json.load(a_			)
										snake_case:    int      							={v: k for k, v in self.encoder.items()}
										snake_case:    Optional[Any]      							=errors  # how to handle errors in decoding
										snake_case:    str      							=bytes_to_unicode()
										snake_case:    Union[str, Any]      							={v: k for k, v in self.byte_encoder.items()}
										with open(a_      ,						encoding='utf-8'			) as merges_handle:
													snake_case:    List[str]      							=merges_handle.read().split('\n'			)[1:-1]
										snake_case:    Union[str, Any]      							=[tuple(merge.split()			) for merge in bpe_merges]
										snake_case:    Optional[Any]      							=dict(zip(a_      ,						range(len(a_			)			)			)			)
										snake_case:    Any      							={}
										snake_case:    Union[str, Any]      							=add_prefix_space

										# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
										snake_case:    Any      							=re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'			)


							@property
							# Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
							def    UpperCamelCase     (				self   :						List[str]			)			->					List[Any]:
										return len(self.encoder			)


							def    UpperCamelCase     (				self   :						Optional[Any]			)			->					Optional[int]:
										return dict(self.encoder      ,						**self.added_tokens_encoder			)


							def    UpperCamelCase     (				self   :						List[str]      ,						a_   :						Dict			)			->					Optional[int]:
										if token in self.cache:
													return self.cache[token]
										snake_case:    Optional[Any]      							=tuple(a_			)
										snake_case:    Union[str, Any]      							=get_pairs(a_			)

										if not pairs:
													return token

										while True:
													snake_case:    int      							=min(a_      ,						key=lambda a_			: self.bpe_ranks.get(a_      ,						float('inf'			)			)			)
													if bigram not in self.bpe_ranks:
																break
													snake_case							,  snake_case:    Tuple      							=bigram
													snake_case:    str      							=[]
													snake_case:    List[Any]      							=0
													while i < len(a_			):
																try:
																			snake_case:    Tuple      							=word.index(a_      ,						a_			)
																except ValueError:
																			new_word.extend(word[i:]			)
																			break
																else:
																			new_word.extend(word[i:j]			)
																			snake_case:    Optional[Any]      							=j

																if word[i] == first and i < len(a_			) - 1 and word[i + 1] == second:
																			new_word.append(first + second			)
																			i += 2
																else:
																			new_word.append(word[i]			)
																			i += 1
													snake_case:    Tuple      							=tuple(a_			)
													snake_case:    List[str]      							=new_word
													if len(a_			) == 1:
																break
													else:
																snake_case:    Optional[int]      							=get_pairs(a_			)
										snake_case:    Union[str, Any]      							=' '.join(a_			)
										snake_case:    str      							=word
										return word


							def    UpperCamelCase     (				self   :						Union[str, Any]      ,						a_   :						Tuple			)			->					List[str]:
										snake_case:    Optional[int]      							=[]
										for token in re.findall(self.pat      ,						a_			):
													snake_case:    Dict      							=''.join(
													    self.byte_encoder[b] for b in token.encode('utf-8'			)			)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
													bpe_tokens.extend(bpe_token for bpe_token in self.bpe(a_			).split(' '			)			)
										return bpe_tokens


							def    UpperCamelCase     (				self   :						List[Any]      ,						a_   :						Tuple			)			->					int:
										return self.encoder.get(a_      ,						self.encoder.get(self.unk_token			)			)


							def    UpperCamelCase     (				self   :						List[Any]      ,						a_   :						Optional[int]			)			->					List[Any]:
										return self.decoder.get(a_			)


							def    UpperCamelCase     (				self   :						int      ,						a_   :						Optional[Any]			)			->					str:
										snake_case:    int      							=''.join(a_			)
										snake_case:    Tuple      							=bytearray([self.byte_decoder[c] for c in text]			).decode('utf-8'      ,						errors=self.errors			)
										return text


							def    UpperCamelCase     (				self   :						Any      ,						a_   :						str      ,						a_   :						Optional[str] = None			)			->					Tuple[str]:
										if not os.path.isdir(a_			):
													logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''			)
													return
										snake_case:    str      							=os.path.join(
										    a_      ,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
										snake_case:    List[Any]      							=os.path.join(
										    a_      ,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']			)

										with open(a_      ,						'w'      ,						encoding='utf-8'			) as f:
													f.write(json.dumps(self.encoder      ,						indent=2      ,						sort_keys=a_      ,						ensure_ascii=a_			) + '\n'			)

										snake_case:    Dict      							=0
										with open(a_      ,						'w'      ,						encoding='utf-8'			) as writer:
													writer.write('#version: 0.2\n'			)
													for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,						key=lambda a_			: kv[1]			):
																if index != token_index:
																			logger.warning(
																			    F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																			    ' Please check that the tokenizer is not corrupted!'			)
																			snake_case:    Any      							=token_index
																writer.write(' '.join(a_			) + '\n'			)
																index += 1

										return vocab_file, merge_file


							def    UpperCamelCase     (				self   :						Any      ,						a_   :						List[int]      ,						a_   :						Optional[List[int]] = None      ,						a_   :						bool = False			)			->					List[int]:
										if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=a_      ,						token_ids_a=a_      ,						already_has_special_tokens=a_			)

										if token_ids_a is None:
													return [1] + ([0] * len(a_			)) + [1]
										return [1] + ([0] * len(a_			)) + [1, 1] + ([0] * len(a_			)) + [1]


							def    UpperCamelCase     (				self   :						Optional[Any]      ,						a_   :						List[int]      ,						a_   :						Optional[List[int]] = None			)			->					List[int]:
										snake_case:    List[str]      							=[self.sep_token_id]
										snake_case:    List[Any]      							=[self.cls_token_id]

										if token_ids_a is None:
													return len(cls + token_ids_a + sep			) * [0]
										return len(cls + token_ids_a + sep + sep + token_ids_a + sep			) * [0]


							def    UpperCamelCase     (				self   :						int      ,						a_   :						List[Any]      ,						a_   :						Union[str, Any]=False      ,						**a_   :						int			)			->					Tuple:
										snake_case:    int      							=kwargs.pop('add_prefix_space'      ,						self.add_prefix_space			)
										if (is_split_into_words or add_prefix_space) and (len(a_			) > 0 and not text[0].isspace()):
													snake_case:    Optional[Any]      							=' ' + text
										return (text, kwargs)


							def    UpperCamelCase     (				self   :						List[Any]      ,						a_   :						List[int]      ,						a_   :						Optional[List[int]] = None			)			->					str:
										return token_ids_a + [self.eos_token_id]




							def    UpperCamelCase     (				self   :						Union[str, Any]      ,						a_   :						"Conversation"			)			->					List[int]:
										snake_case:    List[Any]      							=[]
										for is_user, text in conversation.iter_texts():
													if is_user:
																# We need to space prefix as it's being done within blenderbot
																inputs.append(' ' + text			)
													else:
																# Generated responses should contain them already.
																inputs.append(a_			)

										snake_case:    Tuple      							='  '.join(a_			)
										snake_case:    Tuple      							=self.encode(a_			)
										if len(a_			) > self.model_max_length:
													snake_case:    List[Any]      							=input_ids[-self.model_max_length :]
													logger.warning(F'''Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'''			)
										return input_ids









'''simple docstring'''

import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 						a_		(     snake_case    ,   unittest.TestCase    ):
							UpperCAmelCase			:		int        =				MgpstrTokenizer
							UpperCAmelCase			:		List[Any]        =				False
							UpperCAmelCase			:		Optional[int]        =				{}
							UpperCAmelCase			:		Any        =				False


							def    UpperCamelCase     (				self   :						Any			)			->					Dict:
										super().setUp()

										# fmt: off
										snake_case:    List[Any]      							=['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
										# fmt: on
										snake_case:    Union[str, Any]      							=dict(zip(a_      ,						range(len(a_			)			)			)			)

										snake_case:    List[Any]      							=os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES['vocab_file']			)
										with open(self.vocab_file      ,						'w'      ,						encoding='utf-8'			) as fp:
													fp.write(json.dumps(a_			) + '\n'			)


							def    UpperCamelCase     (				self   :						Optional[Any]      ,						**a_   :						List[Any]			)			->					str:
										return MgpstrTokenizer.from_pretrained(self.tmpdirname      ,						**a_			)


							def    UpperCamelCase     (				self   :						int      ,						a_   :						Dict			)			->					int:
										snake_case:    Any      							='tester'
										snake_case:    List[str]      							='tester'
										return input_text, output_text


							@unittest.skip('MGP-STR always lower cases letters.'			)
							def    UpperCamelCase     (				self   :						Any			)			->					Dict:
										pass


							def    UpperCamelCase     (				self   :						Optional[int]			)			->					int:
										snake_case:    int      							=self.get_tokenizers(do_lower_case=a_			)
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''			):
																snake_case:    Optional[Any]      							='[SPECIAL_TOKEN]'

																tokenizer.add_special_tokens({'cls_token': special_token}			)
																snake_case:    List[str]      							=tokenizer.encode([special_token]      ,						add_special_tokens=a_			)
																self.assertEqual(len(a_			)      ,						1			)

																snake_case:    Union[str, Any]      							=tokenizer.decode(a_      ,						skip_special_tokens=a_			)
																self.assertTrue(special_token not in decoded			)


							def    UpperCamelCase     (				self   :						int			)			->					str:
										snake_case:    int      							=self.get_tokenizers()
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''			):
																snake_case							,  snake_case:    Dict      							=self.get_input_output_texts(a_			)

																snake_case:    Dict      							=tokenizer.tokenize(a_			)
																snake_case:    str      							=tokenizer.convert_tokens_to_ids(a_			)
																snake_case:    List[Any]      							=tokenizer.encode(a_      ,						add_special_tokens=a_			)
																self.assertListEqual(a_      ,						a_			)

																snake_case:    str      							=tokenizer.convert_ids_to_tokens(a_			)
																self.assertNotEqual(len(a_			)      ,						0			)
																snake_case:    Tuple      							=tokenizer.decode(a_			)
																self.assertIsInstance(a_      ,						a_			)

																self.assertEqual(text_a.replace(' '      ,						''			)      ,						a_			)


							@unittest.skip('MGP-STR tokenizer only handles one sequence.'			)
							def    UpperCamelCase     (				self   :						Dict			)			->					str:
										pass




							@unittest.skip('inputs cannot be pretokenized in MgpstrTokenizer'			)
							def    UpperCamelCase     (				self   :						Optional[Any]			)			->					Optional[int]:
										pass




