import json
import os
from typing import Optional, Tuple

import regex as re

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


_lowerCAmelCase       =		logging.get_logger(__name__)

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

_lowerCAmelCase       =		{
    "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"},
}

_lowerCAmelCase       =		{
    "ctrl": 256,
}

_lowerCAmelCase       =		{
    "Pregnancy": 168_629,
    "Christianity": 7_675,
    "Explain": 106_423,
    "Fitness": 63_440,
    "Saving": 63_163,
    "Ask": 27_171,
    "Ass": 95_985,
    "Joke": 163_509,
    "Questions": 45_622,
    "Thoughts": 49_605,
    "Retail": 52_342,
    "Feminism": 164_338,
    "Writing": 11_992,
    "Atheism": 192_263,
    "Netflix": 48_616,
    "Computing": 39_639,
    "Opinion": 43_213,
    "Alone": 44_967,
    "Funny": 58_917,
    "Gaming": 40_358,
    "Human": 4_088,
    "India": 1_331,
    "Joker": 77_138,
    "Diet": 36_206,
    "Legal": 11_859,
    "Norman": 4_939,
    "Tip": 72_689,
    "Weight": 52_343,
    "Movies": 46_273,
    "Running": 23_425,
    "Science": 2_090,
    "Horror": 37_793,
    "Confession": 60_572,
    "Finance": 12_250,
    "Politics": 16_360,
    "Scary": 191_985,
    "Support": 12_654,
    "Technologies": 32_516,
    "Teenage": 66_160,
    "Event": 32_769,
    "Learned": 67_460,
    "Notion": 182_770,
    "Wikipedia": 37_583,
    "Books": 6_665,
    "Extract": 76_050,
    "Confessions": 102_701,
    "Conspiracy": 75_932,
    "Links": 63_674,
    "Narcissus": 150_425,
    "Relationship": 54_766,
    "Relationships": 134_796,
    "Reviews": 41_671,
    "News": 4_256,
    "Translation": 26_820,
    "multilingual": 128_406,
}
def 					_snake_case	(  __snake_case						):
					_UpperCamelCase			     =     set()
					_UpperCamelCase			     =     word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)						)
										_UpperCamelCase			     =     char

					_UpperCamelCase			     =     set(__snake_case						)
					return pairs







class     lowerCAmelCase_     (       __lowercase ):
							UpperCAmelCase				   =     VOCAB_FILES_NAMES
							UpperCAmelCase				   =     PRETRAINED_VOCAB_FILES_MAP
							UpperCAmelCase				   =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCAmelCase				   =     CONTROL_CODES







							def __init__(   self      :     Optional[int] ,			_A      :     Dict ,			_A      :     str ,			_A      :     Union[str, Any]="<unk>" ,			**_A      :     List[str]		):
												super().__init__(unk_token=_A ,			**_A		)

												with open(_A ,			encoding='''utf-8'''		) as vocab_handle:
																	_UpperCamelCase			     =     json.load(_A		)
												_UpperCamelCase			     =     {v: k for k, v in self.encoder.items()}
												with open(_A ,			encoding='''utf-8'''		) as merges_handle:
																	_UpperCamelCase			     =     merges_handle.read().split('''\n'''		)[1:-1]
												_UpperCamelCase			     =     [tuple(merge.split()		) for merge in merges]
												_UpperCamelCase			     =     dict(zip(_A ,			range(len(_A		)		)		)		)
												_UpperCamelCase			     =     {}







							@property
							def  UpperCamelCase_						(   self      :     Dict		):
												return len(self.encoder		)







							def  UpperCamelCase_						(   self      :     Optional[Any]		):
												return dict(self.encoder ,			**self.added_tokens_encoder		)







							def  UpperCamelCase_						(   self      :     List[str] ,			_A      :     Optional[int]		):
												if token in self.cache:
																	return self.cache[token]
												_UpperCamelCase			     =     tuple(_A		)
												_UpperCamelCase			     =     tuple(list(word[:-1]		) + [word[-1] + '''</w>''']		)
												_UpperCamelCase			     =     get_pairs(_A		)

												if not pairs:
																	return token

												while True:
																	_UpperCamelCase			     =     min(_A ,			key=lambda _A		: self.bpe_ranks.get(_A ,			float('''inf'''		)		)		)
																	if bigram not in self.bpe_ranks:
																						break
																	_UpperCamelCase     ,    _UpperCamelCase			     =     bigram
																	_UpperCamelCase			     =     []
																	_UpperCamelCase			     =     0
																	while i < len(_A		):
																						try:
																											_UpperCamelCase			     =     word.index(_A ,			_A		)
																						except ValueError:
																											new_word.extend(word[i:]		)
																											break
																						else:
																											new_word.extend(word[i:j]		)
																											_UpperCamelCase			     =     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
																	_UpperCamelCase			     =     tuple(_A		)
																	_UpperCamelCase			     =     new_word
																	if len(_A		) == 1:
																						break
																	else:
																						_UpperCamelCase			     =     get_pairs(_A		)
												_UpperCamelCase			     =     '''@@ '''.join(_A		)
												_UpperCamelCase			     =     word[:-4]
												_UpperCamelCase			     =     word
												return word







							def  UpperCamelCase_						(   self      :     Tuple ,			_A      :     int		):
												_UpperCamelCase			     =     []

												_UpperCamelCase			     =     re.findall(R'''\S+\n?''' ,			_A		)

												for token in words:
																	split_tokens.extend(list(self.bpe(_A		).split(''' '''		)		)		)
												return split_tokens







							def  UpperCamelCase_						(   self      :     Optional[Any] ,			_A      :     List[str]		):
												return self.encoder.get(_A ,			self.encoder.get(self.unk_token		)		)







							def  UpperCamelCase_						(   self      :     int ,			_A      :     int		):
												return self.decoder.get(_A ,			self.unk_token		)







							def  UpperCamelCase_						(   self      :     str ,			_A      :     Optional[int]		):
												_UpperCamelCase			     =     ''' '''.join(_A		).replace('''@@ ''' ,			''''''		).strip()
												return out_string







							def  UpperCamelCase_						(   self      :     Union[str, Any] ,			_A      :     str ,			_A      :     Optional[str] = None		):
												if not os.path.isdir(_A		):
																	logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""		)
																	return
												_UpperCamelCase			     =     os.path.join(
												    _A ,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
												_UpperCamelCase			     =     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'''		)

												_UpperCamelCase			     =     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!'''		)
																											_UpperCamelCase			     =     token_index
																						writer.write(''' '''.join(_A		) + '''\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)






from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase__					:  Optional[int]      							=				logging.get_logger(__name__)

lowerCamelCase__					:  Tuple      							=				{
    'microsoft/swinv2-tiny-patch4-window8-256': (
        'https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json'
    ),
}





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 lowercase_							       =       "swinv2"

 lowercase_							       =       {
     "num_attention_heads": "num_heads",
     "num_hidden_layers": "num_layers",
 }



 def __init__(				self    :						Dict							,							_lowerCAmelCase    :						Optional[Any]=224							,							_lowerCAmelCase    :						Optional[int]=4							,							_lowerCAmelCase    :						Tuple=3							,							_lowerCAmelCase    :						Tuple=96							,							_lowerCAmelCase    :						Dict=[2, 2, 6, 2]							,							_lowerCAmelCase    :						Optional[Any]=[3, 6, 12, 24]							,							_lowerCAmelCase    :						str=7							,							_lowerCAmelCase    :						List[Any]=4.0							,							_lowerCAmelCase    :						List[str]=True							,							_lowerCAmelCase    :						List[Any]=0.0							,							_lowerCAmelCase    :						List[Any]=0.0							,							_lowerCAmelCase    :						Any=0.1							,							_lowerCAmelCase    :						List[Any]="gelu"							,							_lowerCAmelCase    :						str=False							,							_lowerCAmelCase    :						str=0.02							,							_lowerCAmelCase    :						List[Any]=1E-5							,							_lowerCAmelCase    :						str=32							,							**_lowerCAmelCase    :						List[Any]							,							):
       super().__init__(**_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_      		=     image_size
       SCREAMING_SNAKE_CASE_      		=     patch_size
       SCREAMING_SNAKE_CASE_      		=     num_channels
       SCREAMING_SNAKE_CASE_      		=     embed_dim
       SCREAMING_SNAKE_CASE_      		=     depths
       SCREAMING_SNAKE_CASE_      		=     len(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     num_heads
       SCREAMING_SNAKE_CASE_      		=     window_size
       SCREAMING_SNAKE_CASE_      		=     mlp_ratio
       SCREAMING_SNAKE_CASE_      		=     qkv_bias
       SCREAMING_SNAKE_CASE_      		=     hidden_dropout_prob
       SCREAMING_SNAKE_CASE_      		=     attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE_      		=     drop_path_rate
       SCREAMING_SNAKE_CASE_      		=     hidden_act
       SCREAMING_SNAKE_CASE_      		=     use_absolute_embeddings
       SCREAMING_SNAKE_CASE_      		=     layer_norm_eps
       SCREAMING_SNAKE_CASE_      		=     initializer_range
       SCREAMING_SNAKE_CASE_      		=     encoder_stride
       # we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
       # this indicates the channel dimension after the last stage of the model
       SCREAMING_SNAKE_CASE_      		=     int(embed_dim * 2 ** (len(_lowerCAmelCase		) - 1)		)
       SCREAMING_SNAKE_CASE_      		=     (0, 0, 0, 0)