
import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__a  			=					logging.get_logger(__name__)

__a  			=					{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

__a  			=					{
    'vocab_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'},
    'merges_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'},
}

__a  			=					{
    'ctrl': 2_5_6,
}

__a  			=					{
    'Pregnancy': 1_6_8_6_2_9,
    'Christianity': 7_6_7_5,
    'Explain': 1_0_6_4_2_3,
    'Fitness': 6_3_4_4_0,
    'Saving': 6_3_1_6_3,
    'Ask': 2_7_1_7_1,
    'Ass': 9_5_9_8_5,
    'Joke': 1_6_3_5_0_9,
    'Questions': 4_5_6_2_2,
    'Thoughts': 4_9_6_0_5,
    'Retail': 5_2_3_4_2,
    'Feminism': 1_6_4_3_3_8,
    'Writing': 1_1_9_9_2,
    'Atheism': 1_9_2_2_6_3,
    'Netflix': 4_8_6_1_6,
    'Computing': 3_9_6_3_9,
    'Opinion': 4_3_2_1_3,
    'Alone': 4_4_9_6_7,
    'Funny': 5_8_9_1_7,
    'Gaming': 4_0_3_5_8,
    'Human': 4_0_8_8,
    'India': 1_3_3_1,
    'Joker': 7_7_1_3_8,
    'Diet': 3_6_2_0_6,
    'Legal': 1_1_8_5_9,
    'Norman': 4_9_3_9,
    'Tip': 7_2_6_8_9,
    'Weight': 5_2_3_4_3,
    'Movies': 4_6_2_7_3,
    'Running': 2_3_4_2_5,
    'Science': 2_0_9_0,
    'Horror': 3_7_7_9_3,
    'Confession': 6_0_5_7_2,
    'Finance': 1_2_2_5_0,
    'Politics': 1_6_3_6_0,
    'Scary': 1_9_1_9_8_5,
    'Support': 1_2_6_5_4,
    'Technologies': 3_2_5_1_6,
    'Teenage': 6_6_1_6_0,
    'Event': 3_2_7_6_9,
    'Learned': 6_7_4_6_0,
    'Notion': 1_8_2_7_7_0,
    'Wikipedia': 3_7_5_8_3,
    'Books': 6_6_6_5,
    'Extract': 7_6_0_5_0,
    'Confessions': 1_0_2_7_0_1,
    'Conspiracy': 7_5_9_3_2,
    'Links': 6_3_6_7_4,
    'Narcissus': 1_5_0_4_2_5,
    'Relationship': 5_4_7_6_6,
    'Relationships': 1_3_4_7_9_6,
    'Reviews': 4_1_6_7_1,
    'News': 4_2_5_6,
    'Translation': 2_6_8_2_0,
    'multilingual': 1_2_8_4_0_6,
}




def 				a						(							snake_case__:					List[str]					):


				'''simple docstring'''
				lowercase_       =					set()
				lowercase_       =					word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)					)
								lowercase_       =					char

				lowercase_       =					set(snake_case__					)
				return pairs


class  lowercase__(				UpperCAmelCase							):



	"""simple docstring"""




	a			:List[Any]         =	VOCAB_FILES_NAMES
	a			:int         =	PRETRAINED_VOCAB_FILES_MAP
	a			:Optional[Any]         =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a			:Any         =	CONTROL_CODES
	def __init__(       self  :			List[str]       ,							SCREAMING_SNAKE_CASE_  :			List[Any]       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]       ,							SCREAMING_SNAKE_CASE_  :			Dict="<unk>"       ,							**SCREAMING_SNAKE_CASE_  :			str       )       ->     Union[str, Any]:
					super().__init__(unk_token=SCREAMING_SNAKE_CASE_       ,							**SCREAMING_SNAKE_CASE_       )

					with open(SCREAMING_SNAKE_CASE_       ,							encoding='''utf-8'''       ) as vocab_handle:
									lowercase_       =					json.load(SCREAMING_SNAKE_CASE_       )
					lowercase_       =					{v: k for k, v in self.encoder.items()}
					with open(SCREAMING_SNAKE_CASE_       ,							encoding='''utf-8'''       ) as merges_handle:
									lowercase_       =					merges_handle.read().split('''\n'''       )[1:-1]
					lowercase_       =					[tuple(merge.split()       ) for merge in merges]
					lowercase_       =					dict(zip(SCREAMING_SNAKE_CASE_       ,							range(len(SCREAMING_SNAKE_CASE_       )       )       )       )
					lowercase_       =					{}
	@property
	def 						_lowercase  (       self  :			List[Any]       )       ->     Dict:
					return len(self.encoder       )
	def 						_lowercase  (       self  :			List[Any]       )       ->     List[str]:
					return dict(self.encoder       ,							**self.added_tokens_encoder       )
	def 						_lowercase  (       self  :			Any       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]       )       ->     Any:
					if token in self.cache:
									return self.cache[token]
					lowercase_       =					tuple(SCREAMING_SNAKE_CASE_       )
					lowercase_       =					tuple(list(word[:-1]       ) + [word[-1] + '''</w>''']       )
					lowercase_       =					get_pairs(SCREAMING_SNAKE_CASE_       )

					if not pairs:
									return token

					while True:
									lowercase_       =					min(SCREAMING_SNAKE_CASE_       ,							key=lambda SCREAMING_SNAKE_CASE_       : self.bpe_ranks.get(SCREAMING_SNAKE_CASE_       ,							float('''inf'''       )       )       )
									if bigram not in self.bpe_ranks:
													break
									lowercase_  ,	lowercase_       =					bigram
									lowercase_       =					[]
									lowercase_       =					0
									while i < len(SCREAMING_SNAKE_CASE_       ):
													try:
																	lowercase_       =					word.index(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
													except ValueError:
																	new_word.extend(word[i:]       )
																	break
													else:
																	new_word.extend(word[i:j]       )
																	lowercase_       =					j

													if word[i] == first and i < len(SCREAMING_SNAKE_CASE_       ) - 1 and word[i + 1] == second:
																	new_word.append(first + second       )
																	i += 2
													else:
																	new_word.append(word[i]       )
																	i += 1
									lowercase_       =					tuple(SCREAMING_SNAKE_CASE_       )
									lowercase_       =					new_word
									if len(SCREAMING_SNAKE_CASE_       ) == 1:
													break
									else:
													lowercase_       =					get_pairs(SCREAMING_SNAKE_CASE_       )
					lowercase_       =					'''@@ '''.join(SCREAMING_SNAKE_CASE_       )
					lowercase_       =					word[:-4]
					lowercase_       =					word
					return word
	def 						_lowercase  (       self  :			Dict       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]       )       ->     Optional[Any]:
					lowercase_       =					[]

					lowercase_       =					re.findall(R'''\S+\n?'''       ,							SCREAMING_SNAKE_CASE_       )

					for token in words:
									split_tokens.extend(list(self.bpe(SCREAMING_SNAKE_CASE_       ).split(''' '''       )       )       )
					return split_tokens
	def 						_lowercase  (       self  :			Optional[int]       ,							SCREAMING_SNAKE_CASE_  :			List[Any]       )       ->     Optional[int]:
					return self.encoder.get(SCREAMING_SNAKE_CASE_       ,							self.encoder.get(self.unk_token       )       )
	def 						_lowercase  (       self  :			Optional[int]       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]       )       ->     List[str]:
					return self.decoder.get(SCREAMING_SNAKE_CASE_       ,							self.unk_token       )
	def 						_lowercase  (       self  :			str       ,							SCREAMING_SNAKE_CASE_  :			List[str]       )       ->     List[str]:
					lowercase_       =					''' '''.join(SCREAMING_SNAKE_CASE_       ).replace('''@@ '''       ,							''''''       ).strip()
					return out_string




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

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

					lowercase_       =					0
					with open(SCREAMING_SNAKE_CASE_       ,							'''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 SCREAMING_SNAKE_CASE_       : 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!'''       )
																	lowercase_       =					token_index
													writer.write(''' '''.join(SCREAMING_SNAKE_CASE_       ) + '''\n'''       )
													index += 1

					return vocab_file, merge_file

	# def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
	#     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
	#     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
	#     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
	#     return ''.join(tokens_generated_so_far)











import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


__A				:    Dict       =   logging.get_logger(__name__)

__A				:    Any       =   {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__A				:    Tuple       =   {
    "vocab_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"
        ),
        "squeezebert/squeezebert-mnli": "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt",
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli": (
            "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"
        ),
    },
}

__A				:    List[Any]       =   {
    "squeezebert/squeezebert-uncased": 512,
    "squeezebert/squeezebert-mnli": 512,
    "squeezebert/squeezebert-mnli-headless": 512,
}


__A				:    List[Any]       =   {
    "squeezebert/squeezebert-uncased": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli-headless": {"do_lower_case": True},
}

class 	A_       (a_			):
	UpperCAmelCase__					=			VOCAB_FILES_NAMES
	UpperCAmelCase__					=			PRETRAINED_VOCAB_FILES_MAP
	UpperCAmelCase__					=			PRETRAINED_INIT_CONFIGURATION
	UpperCAmelCase__					=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	UpperCAmelCase__					=			SqueezeBertTokenizer
	def __init__(    self							,					_A=None							,					_A=None							,					_A=True							,					_A="[UNK]"							,					_A="[SEP]"							,					_A="[PAD]"							,					_A="[CLS]"							,					_A="[MASK]"							,					_A=True							,					_A=None							,					**_A							,					):






				'''simple docstring'''







				super().__init__(
				    _A							,					tokenizer_file=_A							,					do_lower_case=_A							,					unk_token=_A							,					sep_token=_A							,					pad_token=_A							,					cls_token=_A							,					mask_token=_A							,					tokenize_chinese_chars=_A							,					strip_accents=_A							,					**_A							,					)

				UpperCAmelCase   		=				json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
				if (
				    normalizer_state.get('''lowercase'''							,					_A		) != do_lower_case
				    or normalizer_state.get('''strip_accents'''							,					_A		) != strip_accents
				    or normalizer_state.get('''handle_chinese_chars'''							,					_A		) != tokenize_chinese_chars
				):
							UpperCAmelCase   		=				getattr(_A							,					normalizer_state.pop('''type'''		)		)
							UpperCAmelCase   		=				do_lower_case
							UpperCAmelCase   		=				strip_accents
							UpperCAmelCase   		=				tokenize_chinese_chars
							UpperCAmelCase   		=				normalizer_class(**_A		)

				UpperCAmelCase   		=				do_lower_case
	def      _lowercase				(    self							,					_A							,					_A=None		):






				'''simple docstring'''







				UpperCAmelCase   		=				[self.cls_token_id] + token_ids_a + [self.sep_token_id]

				if token_ids_a:
							output += token_ids_a + [self.sep_token_id]

				return output
	def      _lowercase				(    self							,					_A							,					_A = None		):






				'''simple docstring'''







				UpperCAmelCase   		=				[self.sep_token_id]
				UpperCAmelCase   		=				[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		) * [0] + len(token_ids_a + sep		) * [1]







	def      _lowercase				(    self							,					_A							,					_A = None		):






				'''simple docstring'''







				UpperCAmelCase   		=				self._tokenizer.model.save(_A							,					name=_A		)
				return tuple(_A		)



