"""simple docstring"""




import json
import os
from typing import Optional, Tuple

import regex as re

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


_UpperCAmelCase            =		logging.get_logger(__name__)

_UpperCAmelCase            =		{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

_UpperCAmelCase            =		{
    """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"""},
}

_UpperCAmelCase            =		{
    """ctrl""": 256,
}

_UpperCAmelCase            =		{
    """Pregnancy""": 168629,
    """Christianity""": 7675,
    """Explain""": 106423,
    """Fitness""": 63440,
    """Saving""": 63163,
    """Ask""": 27171,
    """Ass""": 95985,
    """Joke""": 163509,
    """Questions""": 45622,
    """Thoughts""": 49605,
    """Retail""": 52342,
    """Feminism""": 164338,
    """Writing""": 11992,
    """Atheism""": 192263,
    """Netflix""": 48616,
    """Computing""": 39639,
    """Opinion""": 43213,
    """Alone""": 44967,
    """Funny""": 58917,
    """Gaming""": 40358,
    """Human""": 4088,
    """India""": 1331,
    """Joker""": 77138,
    """Diet""": 36206,
    """Legal""": 11859,
    """Norman""": 4939,
    """Tip""": 72689,
    """Weight""": 52343,
    """Movies""": 46273,
    """Running""": 23425,
    """Science""": 2090,
    """Horror""": 37793,
    """Confession""": 60572,
    """Finance""": 12250,
    """Politics""": 16360,
    """Scary""": 191985,
    """Support""": 12654,
    """Technologies""": 32516,
    """Teenage""": 66160,
    """Event""": 32769,
    """Learned""": 67460,
    """Notion""": 182770,
    """Wikipedia""": 37583,
    """Books""": 6665,
    """Extract""": 76050,
    """Confessions""": 102701,
    """Conspiracy""": 75932,
    """Links""": 63674,
    """Narcissus""": 150425,
    """Relationship""": 54766,
    """Relationships""": 134796,
    """Reviews""": 41671,
    """News""": 4256,
    """Translation""": 26820,
    """multilingual""": 128406,
}




def     UpperCamelCase						(	__lowercase						:			str     ):
		'''simple docstring'''




		A_		:    Tuple         =				set()
		A_		:    Optional[Any]         =				word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)     )
				A_		:    Any         =				char

		A_		:    Any         =				set(__lowercase     )
		return pairs





class UpperCAmelCase						( UpperCamelCase__  ):


				'''simple docstring'''






				lowerCamelCase_    = VOCAB_FILES_NAMES
				lowerCamelCase_    = PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase_    = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase_    = CONTROL_CODES
				def __init__(						self		,     lowercase		,     lowercase		,     lowercase="<unk>"		,     **lowercase ):



						"""simple docstring"""





						super().__init__(unk_token=UpperCamelCase_		,     **UpperCamelCase_ )

						with open(UpperCamelCase_		,     encoding='utf-8' ) as vocab_handle:
								A_		:    Dict         =				json.load(UpperCamelCase_ )
						A_		:    List[str]         =				{v: k for k, v in self.encoder.items()}
						with open(UpperCamelCase_		,     encoding='utf-8' ) as merges_handle:
								A_		:    str         =				merges_handle.read().split('\n' )[1:-1]
						A_		:    str         =				[tuple(merge.split() ) for merge in merges]
						A_		:    Dict         =				dict(zip(UpperCamelCase_		,     range(len(UpperCamelCase_ ) ) ) )
						A_		:    str         =				{}
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return len(self.encoder )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return dict(self.encoder		,     **self.added_tokens_encoder )
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						if token in self.cache:
								return self.cache[token]
						A_		:    int         =				tuple(UpperCamelCase_ )
						A_		:    str         =				tuple(list(word[:-1] ) + [word[-1] + '</w>'] )
						A_		:    Union[str, Any]         =				get_pairs(UpperCamelCase_ )

						if not pairs:
								return token

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

										if word[i] == first and i < len(UpperCamelCase_ ) - 1 and word[i + 1] == second:
												new_word.append(first + second )
												i += 2
										else:
												new_word.append(word[i] )
												i += 1
								A_		:    Optional[Any]         =				tuple(UpperCamelCase_ )
								A_		:    Union[str, Any]         =				new_word
								if len(UpperCamelCase_ ) == 1:
										break
								else:
										A_		:    List[str]         =				get_pairs(UpperCamelCase_ )
						A_		:    List[Any]         =				'@@ '.join(UpperCamelCase_ )
						A_		:    List[Any]         =				word[:-4]
						A_		:    Optional[Any]         =				word
						return word
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						A_		:    Any         =				[]

						A_		:    Union[str, Any]         =				re.findall(r'\S+\n?'		,     UpperCamelCase_ )

						for token in words:
								split_tokens.extend(list(self.bpe(UpperCamelCase_ ).split(' ' ) ) )
						return split_tokens
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						return self.encoder.get(UpperCamelCase_		,     self.encoder.get(self.unk_token ) )
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						return self.decoder.get(UpperCamelCase_		,     self.unk_token )
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						A_		:    int         =				' '.join(UpperCamelCase_ ).replace('@@ '		,     '' ).strip()
						return out_string







				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase = None ):



						"""simple docstring"""





						if not os.path.isdir(UpperCamelCase_ ):
								logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
								return
						A_		:    Any         =				os.path.join(
						    UpperCamelCase_		,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )
						A_		:    Any         =				os.path.join(
						    UpperCamelCase_		,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'] )

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

						A_		:    Tuple         =				0
						with open(UpperCamelCase_		,     '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 lowercase : 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!' )
												A_		:    List[str]         =				token_index
										writer.write(' '.join(UpperCamelCase_ ) + '\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


_UpperCAmelCase            =		logging.get_logger(__name__)

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

_UpperCAmelCase            =		{
    """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"""
        ),
    },
}

_UpperCAmelCase            =		{
    """squeezebert/squeezebert-uncased""": 512,
    """squeezebert/squeezebert-mnli""": 512,
    """squeezebert/squeezebert-mnli-headless""": 512,
}


_UpperCAmelCase            =		{
    """squeezebert/squeezebert-uncased""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli-headless""": {"""do_lower_case""": True},
}





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				lowerCamelCase_    = VOCAB_FILES_NAMES
				lowerCamelCase_    = PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase_    = PRETRAINED_INIT_CONFIGURATION
				lowerCamelCase_    = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase_    = SqueezeBertTokenizer
				def __init__(						self		,     lowercase=None		,     lowercase=None		,     lowercase=True		,     lowercase="[UNK]"		,     lowercase="[SEP]"		,     lowercase="[PAD]"		,     lowercase="[CLS]"		,     lowercase="[MASK]"		,     lowercase=True		,     lowercase=None		,     **lowercase		,     ):



						"""simple docstring"""





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

						A_		:    int         =				json.loads(self.backend_tokenizer.normalizer.__getstate__() )
						if (
						    normalizer_state.get('lowercase'		,     lowercase ) != do_lower_case
						    or normalizer_state.get('strip_accents'		,     lowercase ) != strip_accents
						    or normalizer_state.get('handle_chinese_chars'		,     lowercase ) != tokenize_chinese_chars
						):
								A_		:    Dict         =				getattr(lowercase		,     normalizer_state.pop('type' ) )
								A_		:    Optional[int]         =				do_lower_case
								A_		:    Optional[Any]         =				strip_accents
								A_		:    str         =				tokenize_chinese_chars
								A_		:    Any         =				normalizer_class(**lowercase )

						A_		:    Tuple         =				do_lower_case
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase=None ):



						"""simple docstring"""





						A_		:    str         =				[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   lowerCAmelCase_       (						self		,     lowercase		,     lowercase = None ):



						"""simple docstring"""





						A_		:    Dict         =				[self.sep_token_id]
						A_		:    Union[str, 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 ) * [0] + len(token_ids_a + sep ) * [1]







				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase = None ):



						"""simple docstring"""





						A_		:    Dict         =				self._tokenizer.model.save(lowercase		,     name=lowercase )
						return tuple(lowercase )






