import json
import os
from typing import Optional, Tuple

import regex as re

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


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

_lowerCamelCase   :				List[Any]     			=						{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

_lowerCamelCase   :				Optional[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'''},
}

_lowerCamelCase   :				Optional[Any]     			=						{
    '''ctrl''': 2_56,
}

_lowerCamelCase   :				List[str]     			=						{
    '''Pregnancy''': 16_86_29,
    '''Christianity''': 76_75,
    '''Explain''': 10_64_23,
    '''Fitness''': 6_34_40,
    '''Saving''': 6_31_63,
    '''Ask''': 2_71_71,
    '''Ass''': 9_59_85,
    '''Joke''': 16_35_09,
    '''Questions''': 4_56_22,
    '''Thoughts''': 4_96_05,
    '''Retail''': 5_23_42,
    '''Feminism''': 16_43_38,
    '''Writing''': 1_19_92,
    '''Atheism''': 19_22_63,
    '''Netflix''': 4_86_16,
    '''Computing''': 3_96_39,
    '''Opinion''': 4_32_13,
    '''Alone''': 4_49_67,
    '''Funny''': 5_89_17,
    '''Gaming''': 4_03_58,
    '''Human''': 40_88,
    '''India''': 13_31,
    '''Joker''': 7_71_38,
    '''Diet''': 3_62_06,
    '''Legal''': 1_18_59,
    '''Norman''': 49_39,
    '''Tip''': 7_26_89,
    '''Weight''': 5_23_43,
    '''Movies''': 4_62_73,
    '''Running''': 2_34_25,
    '''Science''': 20_90,
    '''Horror''': 3_77_93,
    '''Confession''': 6_05_72,
    '''Finance''': 1_22_50,
    '''Politics''': 1_63_60,
    '''Scary''': 19_19_85,
    '''Support''': 1_26_54,
    '''Technologies''': 3_25_16,
    '''Teenage''': 6_61_60,
    '''Event''': 3_27_69,
    '''Learned''': 6_74_60,
    '''Notion''': 18_27_70,
    '''Wikipedia''': 3_75_83,
    '''Books''': 66_65,
    '''Extract''': 7_60_50,
    '''Confessions''': 10_27_01,
    '''Conspiracy''': 7_59_32,
    '''Links''': 6_36_74,
    '''Narcissus''': 15_04_25,
    '''Relationship''': 5_47_66,
    '''Relationships''': 13_47_96,
    '''Reviews''': 4_16_71,
    '''News''': 42_56,
    '''Translation''': 2_68_20,
    '''multilingual''': 12_84_06,
}





def 		__lowerCamelCase							(UpperCAmelCase__       :							int					):
					SCREAMING_SNAKE_CASE           =    set()
					SCREAMING_SNAKE_CASE           =    word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)					)
										SCREAMING_SNAKE_CASE           =    char

					SCREAMING_SNAKE_CASE           =    set(UpperCAmelCase__					)
					return pairs


class   lowercase      (       a       ):
							lowercase__  :    int									=							VOCAB_FILES_NAMES
							lowercase__  :    List[Any]									=							PRETRAINED_VOCAB_FILES_MAP
							lowercase__  :    Optional[Any]									=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__  :    List[str]									=							CONTROL_CODES




							def __init__(  self				:   int		,							_UpperCamelCase				:   Union[str, Any]		,							_UpperCamelCase				:   Optional[Any]		,							_UpperCamelCase				:   Optional[int]="<unk>"		,							**_UpperCamelCase				:   str )   ->			List[str]:



												'''simple docstring'''

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

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




							@property
							def 		__snake_case(  self				:   List[str] )   ->			List[Any]:



												'''simple docstring'''

												return len(self.encoder )




							def 		__snake_case(  self				:   int )   ->			int:



												'''simple docstring'''

												return dict(self.encoder		,							**self.added_tokens_encoder )




							def 		__snake_case(  self				:   List[str]		,							_UpperCamelCase				:   Any )   ->			Optional[int]:



												'''simple docstring'''

												if token in self.cache:
																	return self.cache[token]
												SCREAMING_SNAKE_CASE           =    tuple(_UpperCamelCase )
												SCREAMING_SNAKE_CASE           =    tuple(list(word[:-1] ) + [word[-1] + "</w>"] )
												SCREAMING_SNAKE_CASE           =    get_pairs(_UpperCamelCase )

												if not pairs:
																	return token

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




							def 		__snake_case(  self				:   str		,							_UpperCamelCase				:   int )   ->			Optional[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    []

												SCREAMING_SNAKE_CASE           =    re.findall(R"\S+\n?"		,							_UpperCamelCase )

												for token in words:
																	split_tokens.extend(list(self.bpe(_UpperCamelCase ).split(" " ) ) )
												return split_tokens




							def 		__snake_case(  self				:   Optional[int]		,							_UpperCamelCase				:   Optional[Any] )   ->			Dict:



												'''simple docstring'''

												return self.encoder.get(_UpperCamelCase		,							self.encoder.get(self.unk_token ) )




							def 		__snake_case(  self				:   List[Any]		,							_UpperCamelCase				:   List[Any] )   ->			Optional[Any]:



												'''simple docstring'''

												return self.decoder.get(_UpperCamelCase		,							self.unk_token )




							def 		__snake_case(  self				:   Any		,							_UpperCamelCase				:   Optional[Any] )   ->			Tuple:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    " ".join(_UpperCamelCase ).replace("@@ "		,							"" ).strip()
												return out_string





							def 		__snake_case(  self				:   int		,							_UpperCamelCase				:   str		,							_UpperCamelCase				:   Optional[str] = None )   ->			Tuple[str]:



												'''simple docstring'''

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

												SCREAMING_SNAKE_CASE           =    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 _UpperCamelCase : 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!" )
																											SCREAMING_SNAKE_CASE           =    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)





from __future__ import annotations

from collections.abc import Iterator


class   lowercase      :




							def __init__(  self				:   str		,							_UpperCamelCase				:   int )   ->			None:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    value
												SCREAMING_SNAKE_CASE           =    None
												SCREAMING_SNAKE_CASE           =    None



class   lowercase      :




							def __init__(  self				:   str		,							_UpperCamelCase				:   Node )   ->			None:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    tree




							def 		__snake_case(  self				:   int		,							_UpperCamelCase				:   Node | None )   ->			int:



												'''simple docstring'''

												if node is None:
																	return 0
												return node.value + (
												    self.depth_first_search(node.left ) + self.depth_first_search(node.right )
												)





							def __iter__(  self				:   List[Any] )   ->			Iterator[int]:



												'''simple docstring'''

												yield self.depth_first_search(self.tree )


if __name__ == "__main__":
							import doctest

							doctest.testmod()




