






'''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:      List[Any]  				=				logging.get_logger(__name__)

A:      Union[str, Any]  				=				{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

A:      Dict  				=				{
    "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:      Any  				=				{
    "ctrl": 2_5_6,
}

A:      int  				=				{
    "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 	_UpperCAmelCase    (  a		:	Tuple							)			->			List[Any]:





						"""simple docstring"""
						lowercase_      :   Optional[Any]        =			set()
						lowercase_      :   Dict        =			word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)							)
												lowercase_      :   Union[str, Any]        =			char

						lowercase_      :   List[str]        =			set(a							)
						return pairs






class 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      List[Any]        =  VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE_					:      Tuple        =  PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE_					:      Optional[Any]        =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE_					:      Union[str, Any]        =  CONTROL_CODES
	def __init__(							self  ,      _lowercase  ,      _lowercase  ,      _lowercase="<unk>"  ,      **_lowercase       )						->  Any:
							super().__init__(unk_token=_lowercase  ,      **_lowercase       )

							with open(_lowercase  ,      encoding='utf-8'       ) as vocab_handle:
													lowercase_      :   List[Any]        =			json.load(_lowercase       )
							lowercase_      :   int        =			{v: k for k, v in self.encoder.items()}
							with open(_lowercase  ,      encoding='utf-8'       ) as merges_handle:
													lowercase_      :   List[Any]        =			merges_handle.read().split('\n'       )[1:-1]
							lowercase_      :   List[Any]        =			[tuple(merge.split()       ) for merge in merges]
							lowercase_      :   List[str]        =			dict(zip(_lowercase  ,      range(len(_lowercase       )       )       )       )
							lowercase_      :   Union[str, Any]        =			{}
	@property
	def        lowerCamelCase__		(							self       )						->  str:
							return len(self.encoder       )
	def        lowerCamelCase__		(							self       )						->  Any:
							return dict(self.encoder  ,      **self.added_tokens_encoder       )
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  str:
							if token in self.cache:
													return self.cache[token]
							lowercase_      :   List[Any]        =			tuple(_lowercase       )
							lowercase_      :   str        =			tuple(list(word[:-1]       ) + [word[-1] + '</w>']       )
							lowercase_      :   Union[str, Any]        =			get_pairs(_lowercase       )

							if not pairs:
													return token

							while True:
													lowercase_      :   Tuple        =			min(_lowercase  ,      key=lambda _lowercase       : self.bpe_ranks.get(_lowercase  ,      float('inf'       )       )       )
													if bigram not in self.bpe_ranks:
																			break
													lowercase_  ,      lowercase_      :   Optional[Any]        =			bigram
													lowercase_      :   Dict        =			[]
													lowercase_      :   Tuple        =			0
													while i < len(_lowercase       ):
																			try:
																									lowercase_      :   List[Any]        =			word.index(_lowercase  ,      _lowercase       )
																			except ValueError:
																									new_word.extend(word[i:]       )
																									break
																			else:
																									new_word.extend(word[i:j]       )
																									lowercase_      :   List[Any]        =			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
													lowercase_      :   List[str]        =			tuple(_lowercase       )
													lowercase_      :   Tuple        =			new_word
													if len(_lowercase       ) == 1:
																			break
													else:
																			lowercase_      :   Optional[Any]        =			get_pairs(_lowercase       )
							lowercase_      :   Union[str, Any]        =			'@@ '.join(_lowercase       )
							lowercase_      :   int        =			word[:-4]
							lowercase_      :   Any        =			word
							return word
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  List[str]:
							lowercase_      :   Optional[Any]        =			[]

							lowercase_      :   Optional[int]        =			re.findall(r'\S+\n?'  ,      _lowercase       )

							for token in words:
													split_tokens.extend(list(self.bpe(_lowercase       ).split(' '       )       )       )
							return split_tokens
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Dict:
							return self.encoder.get(_lowercase  ,      self.encoder.get(self.unk_token       )       )
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Optional[int]:
							return self.decoder.get(_lowercase  ,      self.unk_token       )
	def        lowerCamelCase__		(							self  ,      _lowercase       )						->  Union[str, Any]:
							lowercase_      :   Union[str, Any]        =			' '.join(_lowercase       ).replace('@@ '  ,      ''       ).strip()
							return out_string







	def        lowerCamelCase__		(							self  ,      _lowercase  ,      _lowercase = None       )						->  Tuple[str]:
							if not os.path.isdir(_lowercase       ):
													logger.error(f"Vocabulary path ({save_directory}) should be a directory"       )
													return
							lowercase_      :   Optional[Any]        =			os.path.join(
							    _lowercase  ,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
							lowercase_      :   Optional[Any]        =			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'       )

							lowercase_      :   Optional[Any]        =			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!'       )
																									lowercase_      :   Optional[Any]        =			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)








'''simple docstring'''

def 	_UpperCAmelCase    (  a		:	list[list[float]]							)			->			list[list[float]]:





						"""simple docstring"""
						lowercase_      :   list[list[float]]        =			[]
						for data in source_data:
												for i, el in enumerate(a							):
																		if len(a							) < i + 1:
																								data_lists.append([]							)
																		data_lists[i].append(float(a							)							)
						return data_lists






def 	_UpperCAmelCase    (  a		:	list[list[float]]						,			a		:	list[int]							)			->			list[list[float]]:





						"""simple docstring"""
						lowercase_      :   list[list[float]]        =			[]
						for dlist, weight in zip(a						,			a							):
												lowercase_      :   Tuple        =			min(a							)
												lowercase_      :   Any        =			max(a							)

												lowercase_      :   list[float]        =			[]
												# for weight 0 score is 1 - actual score
												if weight == 0:
																		for item in dlist:
																								try:
																														score.append(1 - ((item - mind) / (maxd - mind))							)
																								except ZeroDivisionError:
																														score.append(1							)

												elif weight == 1:
																		for item in dlist:
																								try:
																														score.append((item - mind) / (maxd - mind)							)
																								except ZeroDivisionError:
																														score.append(0							)

        # weight not 0 or 1
												else:
																		lowercase_      :   str        =			f"Invalid weight of {weight:f} provided"
																		raise ValueError(a							)

												score_lists.append(a							)

						return score_lists






def 	_UpperCAmelCase    (  a		:	list[list[float]]							)			->			list[float]:





						"""simple docstring"""
						lowercase_      :   list[float]        =			[0 for i in range(len(score_lists[0]							)							)]

						for slist in score_lists:
												for j, ele in enumerate(a							):
																		lowercase_      :   List[Any]        =			final_scores[j] + ele

						return final_scores






def 	_UpperCAmelCase    (  a		:	list[list[float]]						,			a		:	list[int]							)			->			list[list[float]]:





						"""simple docstring"""
						lowercase_      :   int        =			get_data(a							)
						lowercase_      :   Optional[int]        =			calculate_each_score(a						,			a							)
						lowercase_      :   Dict        =			generate_final_scores(a							)

						# append scores to source data
						for i, ele in enumerate(a							):
												source_data[i].append(a							)

						return source_data
