import json
import os
from typing import Optional, Tuple

import regex as re

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


_lowercase:	str       			=		logging.get_logger(__name__)

_lowercase:	Optional[int]       			=		{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

_lowercase:	Any       			=		{
    '''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'''},
}

_lowercase:	Optional[int]       			=		{
    '''ctrl''': 2_5_6,
}

_lowercase:	Any       			=		{
    '''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 _lowerCamelCase  (		snake_case  ):
							_lowerCAmelCase							=							set()
							_lowerCAmelCase							=							word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)  )
														_lowerCAmelCase							=							char

							_lowerCAmelCase							=							set(snake_case  )
							return pairs



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							=VOCAB_FILES_NAMES
			UpperCamelCase__    							=PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__    							=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase__    							=CONTROL_CODES





			def __init__(       self	:	Tuple  ,  lowercase__	:	List[Any]  ,  lowercase__	:	List[Any]  ,  lowercase__	:	Tuple="<unk>"  ,  **lowercase__	:	Union[str, Any]						):
										super().__init__(unk_token=lowercase__  ,  **lowercase__						)

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





			@property
			def   SCREAMING_SNAKE_CASE__     (       self	:	int						):
										return len(self.encoder						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	str						):
										return dict(self.encoder  ,  **self.added_tokens_encoder						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Dict  ,  lowercase__	:	str						):
										if token in self.cache:
																	return self.cache[token]
										_lowerCAmelCase							=							tuple(lowercase__						)
										_lowerCAmelCase							=							tuple(list(word[:-1]						) + [word[-1] + '</w>']						)
										_lowerCAmelCase							=							get_pairs(lowercase__						)

										if not pairs:
																	return token

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

																								if word[i] == first and i < len(lowercase__						) - 1 and word[i + 1] == second:
																															new_word.append(first + second						)
																															i += 2
																								else:
																															new_word.append(word[i]						)
																															i += 1
																	_lowerCAmelCase							=							tuple(lowercase__						)
																	_lowerCAmelCase							=							new_word
																	if len(lowercase__						) == 1:
																								break
																	else:
																								_lowerCAmelCase							=							get_pairs(lowercase__						)
										_lowerCAmelCase							=							'@@ '.join(lowercase__						)
										_lowerCAmelCase							=							word[:-4]
										_lowerCAmelCase							=							word
										return word





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[int]  ,  lowercase__	:	Union[str, Any]						):
										_lowerCAmelCase							=							[]

										_lowerCAmelCase							=							re.findall(R'\S+\n?'  ,  lowercase__						)

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





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]  ,  lowercase__	:	int						):
										return self.encoder.get(lowercase__  ,  self.encoder.get(self.unk_token						)						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Tuple  ,  lowercase__	:	Union[str, Any]						):
										return self.decoder.get(lowercase__  ,  self.unk_token						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]  ,  lowercase__	:	List[str]						):
										_lowerCAmelCase							=							' '.join(lowercase__						).replace('@@ '  ,  ''						).strip()
										return out_string





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]  ,  lowercase__	:	str  ,  lowercase__	:	Optional[str] = None						):
										if not os.path.isdir(lowercase__						):
																	logger.error(f'Vocabulary path ({save_directory}) should be a directory'						)
																	return
										_lowerCAmelCase							=							os.path.join(
										    lowercase__  ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)
										_lowerCAmelCase							=							os.path.join(
										    lowercase__  ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']						)

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

										_lowerCAmelCase							=							0
										with open(lowercase__  ,  '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!'						)
																															_lowerCAmelCase							=							token_index
																								writer.write(' '.join(lowercase__						) + '\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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowercase:	Optional[Any]       			=		logging.get_logger(__name__)

_lowercase:	Tuple       			=		{
    '''andreasmadsen/efficient_mlm_m0.40''': (
        '''https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'''
    ),
}



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							="roberta-prelayernorm"





			def __init__(       self	:	int  ,  lowercase__	:	int=5_02_65  ,  lowercase__	:	str=7_68  ,  lowercase__	:	List[Any]=12  ,  lowercase__	:	Any=12  ,  lowercase__	:	Optional[Any]=30_72  ,  lowercase__	:	List[Any]="gelu"  ,  lowercase__	:	str=0.1  ,  lowercase__	:	List[Any]=0.1  ,  lowercase__	:	Tuple=5_12  ,  lowercase__	:	Optional[int]=2  ,  lowercase__	:	Dict=0.0_2  ,  lowercase__	:	Tuple=1e-12  ,  lowercase__	:	Optional[int]=1  ,  lowercase__	:	Optional[int]=0  ,  lowercase__	:	Union[str, Any]=2  ,  lowercase__	:	Any="absolute"  ,  lowercase__	:	Any=True  ,  lowercase__	:	Any=None  ,  **lowercase__	:	Optional[int]  ,  ):
										super().__init__(pad_token_id=lowercase__  ,  bos_token_id=lowercase__  ,  eos_token_id=lowercase__  ,  **lowercase__						)

										_lowerCAmelCase							=							vocab_size
										_lowerCAmelCase							=							hidden_size
										_lowerCAmelCase							=							num_hidden_layers
										_lowerCAmelCase							=							num_attention_heads
										_lowerCAmelCase							=							hidden_act
										_lowerCAmelCase							=							intermediate_size
										_lowerCAmelCase							=							hidden_dropout_prob
										_lowerCAmelCase							=							attention_probs_dropout_prob
										_lowerCAmelCase							=							max_position_embeddings
										_lowerCAmelCase							=							type_vocab_size
										_lowerCAmelCase							=							initializer_range
										_lowerCAmelCase							=							layer_norm_eps
										_lowerCAmelCase							=							position_embedding_type
										_lowerCAmelCase							=							use_cache
										_lowerCAmelCase							=							classifier_dropout







class        lowerCamelCase__				(   UpperCAmelCase				):





			@property
			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]						):
										if self.task == "multiple-choice":
																	_lowerCAmelCase							=							{0: 'batch', 1: 'choice', 2: 'sequence'}
										else:
																	_lowerCAmelCase							=							{0: 'batch', 1: 'sequence'}
										return OrderedDict(
										    [
										        ('input_ids', dynamic_axis),
										        ('attention_mask', dynamic_axis),
										    ]						)






