




import json
import os
from typing import Optional, Tuple

import regex as re

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


__lowerCAmelCase	:       Tuple     =	logging.get_logger(__name__)

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

__lowerCAmelCase	:       Union[str, 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	:       Any     =	{
    'ctrl': 256,
}

__lowerCAmelCase	:       Dict     =	{
    'Pregnancy': 16_8629,
    'Christianity': 7675,
    'Explain': 10_6423,
    'Fitness': 6_3440,
    'Saving': 6_3163,
    'Ask': 2_7171,
    'Ass': 9_5985,
    'Joke': 16_3509,
    'Questions': 4_5622,
    'Thoughts': 4_9605,
    'Retail': 5_2342,
    'Feminism': 16_4338,
    'Writing': 1_1992,
    'Atheism': 19_2263,
    'Netflix': 4_8616,
    'Computing': 3_9639,
    'Opinion': 4_3213,
    'Alone': 4_4967,
    'Funny': 5_8917,
    'Gaming': 4_0358,
    'Human': 4088,
    'India': 1331,
    'Joker': 7_7138,
    'Diet': 3_6206,
    'Legal': 1_1859,
    'Norman': 4939,
    'Tip': 7_2689,
    'Weight': 5_2343,
    'Movies': 4_6273,
    'Running': 2_3425,
    'Science': 2090,
    'Horror': 3_7793,
    'Confession': 6_0572,
    'Finance': 1_2250,
    'Politics': 1_6360,
    'Scary': 19_1985,
    'Support': 1_2654,
    'Technologies': 3_2516,
    'Teenage': 6_6160,
    'Event': 3_2769,
    'Learned': 6_7460,
    'Notion': 18_2770,
    'Wikipedia': 3_7583,
    'Books': 6665,
    'Extract': 7_6050,
    'Confessions': 10_2701,
    'Conspiracy': 7_5932,
    'Links': 6_3674,
    'Narcissus': 15_0425,
    'Relationship': 5_4766,
    'Relationships': 13_4796,
    'Reviews': 4_1671,
    'News': 4256,
    'Translation': 2_6820,
    'multilingual': 12_8406,
}




def     __magic_name__       (				A	:      Tuple     ):






			'''simple docstring'''







			a					=    set()
			a					=    word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)     )
						a					=    char

			a					=    set(A     )
			return pairs






class 					snake_case__							(_UpperCamelCase     ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_ :							Union[str, Any]											=      VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE_ :							List[str]											=      PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE_ :							str											=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE_ :							str											=      CONTROL_CODES





				def __init__(   self       :  Union[str, Any]      ,   __lowerCamelCase       :  Optional[int]      ,   __lowerCamelCase       :  int      ,   __lowerCamelCase       :  Any="<unk>"      ,   **__lowerCamelCase       :  Tuple							)      ->  str:
							super().__init__(unk_token=__lowerCamelCase      ,   **__lowerCamelCase							)

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





				@property
				def 							__UpperCAmelCase							(   self       :  List[str]							)      ->  List[str]:
							return len(self.encoder							)





				def 							__UpperCAmelCase							(   self       :  Tuple							)      ->  int:
							return dict(self.encoder      ,   **self.added_tokens_encoder							)





				def 							__UpperCAmelCase							(   self       :  Optional[Any]      ,   __lowerCamelCase       :  Tuple							)      ->  str:
							if token in self.cache:
										return self.cache[token]
							a					=    tuple(__lowerCamelCase							)
							a					=    tuple(list(word[:-1]							) + [word[-1] + "</w>"]							)
							a					=    get_pairs(__lowerCamelCase							)

							if not pairs:
										return token

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

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





				def 							__UpperCAmelCase							(   self       :  Dict      ,   __lowerCamelCase       :  int							)      ->  Tuple:
							a					=    []

							a					=    re.findall(r"\S+\n?"      ,   __lowerCamelCase							)

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





				def 							__UpperCAmelCase							(   self       :  int      ,   __lowerCamelCase       :  Dict							)      ->  List[str]:
							return self.encoder.get(__lowerCamelCase      ,   self.encoder.get(self.unk_token							)							)





				def 							__UpperCAmelCase							(   self       :  str      ,   __lowerCamelCase       :  Optional[int]							)      ->  List[Any]:
							return self.decoder.get(__lowerCamelCase      ,   self.unk_token							)





				def 							__UpperCAmelCase							(   self       :  int      ,   __lowerCamelCase       :  List[Any]							)      ->  int:
							a					=    " ".join(__lowerCamelCase							).replace("@@ "      ,   ""							).strip()
							return out_string





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

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

							a					=    0
							with open(__lowerCamelCase      ,   "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 __lowerCamelCase							: 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!"							)
																a					=    token_index
													writer.write(" ".join(__lowerCamelCase							) + "\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)












def     __magic_name__       (				A	:      list     ):






			'''simple docstring'''







			for i in range(len(A     ) - 1,						0,						-1     ):
						a					=    False

						for j in range(A,						0,						-1     ):
									if unsorted[j] < unsorted[j - 1]:
												a					,	a					=    unsorted[j - 1], unsorted[j]
												a					=    True

						for j in range(A     ):
									if unsorted[j] > unsorted[j + 1]:
												a					,	a					=    unsorted[j + 1], unsorted[j]
												a					=    True

						if not swapped:
									break
			return unsorted


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		__lowerCAmelCase	:       Tuple     =	input('Enter numbers separated by a comma:\n').strip()
		__lowerCAmelCase	:       List[Any]     =	[int(item) for item in user_input.split(',')]
		print(F'''{cocktail_shaker_sort(unsorted) = }''')






