

'''simple docstring'''

import json
import os
from typing import Optional, Tuple

import regex as re

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


a   :			Tuple         = logging.get_logger(__name__)

a   :			Optional[Any]         = {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

a   :			List[str]         = {
    "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   :			List[str]         = {
    "ctrl": 2_56,
}

a   :			Union[str, Any]         = {
    "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       lowercase					(     __magic_name__							):



					'''simple docstring'''







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

					UpperCAmelCase		:							int   					=   set(SCREAMING_SNAKE_CASE_							)
					return pairs







class   UpperCamelCase__    (   lowercase__   ):


		"""simple docstring"""

		SCREAMING_SNAKE_CASE__  :	Optional[int]   =							VOCAB_FILES_NAMES
		SCREAMING_SNAKE_CASE__  :	int   =							PRETRAINED_VOCAB_FILES_MAP
		SCREAMING_SNAKE_CASE__  :	Union[str, Any]   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		SCREAMING_SNAKE_CASE__  :	Tuple   =							CONTROL_CODES







		def __init__( self    ,			snake_case    ,			snake_case    ,			snake_case="<unk>"    ,			**snake_case			):


							'''simple docstring'''

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

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







		@property
		def       A_       ( self			):


							'''simple docstring'''

							return len(self.encoder			)







		def       A_       ( self			):


							'''simple docstring'''

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







		def       A_       ( self    ,			snake_case			):


							'''simple docstring'''

							if token in self.cache:
												return self.cache[token]
							UpperCAmelCase		:							Any   					=   tuple(snake_case			)
							UpperCAmelCase		:							Union[str, Any]   					=   tuple(list(word[:-1]			) + [word[-1] + "</w>"]			)
							UpperCAmelCase		:							Dict   					=   get_pairs(snake_case			)

							if not pairs:
												return token

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

																	if word[i] == first and i < len(snake_case			) - 1 and word[i + 1] == second:
																						new_word.append(first + second			)
																						i += 2
																	else:
																						new_word.append(word[i]			)
																						i += 1
												UpperCAmelCase		:							int   					=   tuple(snake_case			)
												UpperCAmelCase		:							str   					=   new_word
												if len(snake_case			) == 1:
																	break
												else:
																	UpperCAmelCase		:							Dict   					=   get_pairs(snake_case			)
							UpperCAmelCase		:							int   					=   '@@ '.join(snake_case			)
							UpperCAmelCase		:							List[Any]   					=   word[:-4]
							UpperCAmelCase		:							Union[str, Any]   					=   word
							return word







		def       A_       ( self    ,			snake_case			):


							'''simple docstring'''

							UpperCAmelCase		:							int   					=   []

							UpperCAmelCase		:							str   					=   re.findall(r"\S+\n?"    ,			snake_case			)

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







		def       A_       ( self    ,			snake_case			):


							'''simple docstring'''

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







		def       A_       ( self    ,			snake_case			):


							'''simple docstring'''

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







		def       A_       ( self    ,			snake_case			):


							'''simple docstring'''

							UpperCAmelCase		:							List[Any]   					=   ' '.join(snake_case			).replace("@@ "    ,			""			).strip()
							return out_string







		def       A_       ( self    ,			snake_case    ,			snake_case = None			):


							'''simple docstring'''

							if not os.path.isdir(snake_case			):
												logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
												return
							UpperCAmelCase		:							Union[str, Any]   					=   os.path.join(
							    snake_case    ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)
							UpperCAmelCase		:							Optional[int]   					=   os.path.join(
							    snake_case    ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]			)

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

							UpperCAmelCase		:							Optional[int]   					=   0
							with open(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 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!"			)
																						UpperCAmelCase		:							str   					=   token_index
																	writer.write(" ".join(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)


class      A__							:






				def __init__(						self					:      Dict    ,     a					:      list[int]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Union[str, Any]         =		len(a   )
							lowerCAmelCase__      :      Optional[Any]         =		[0] * len_array

							if len_array > 0:
										lowerCAmelCase__      :      List[Any]         =		array[0]

							for i in range(1    ,     a   ):
										lowerCAmelCase__      :      Optional[int]         =		self.prefix_sum[i - 1] + array[i]






				def 							_lowerCamelCase		(						self					:      int    ,     a					:      int    ,     a					:      int   ):






							'''simple docstring'''







							if start == 0:
										return self.prefix_sum[end]

							return self.prefix_sum[end] - self.prefix_sum[start - 1]






				def 							_lowerCamelCase		(						self					:      Optional[Any]    ,     a					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Any         =		{0}
							for sum_item in self.prefix_sum:
										if sum_item - target_sum in sums:
													return True

										sums.add(a   )

							return False


if __name__ == "__main__":
					import doctest

					doctest.testmod()