'''simple docstring'''




import json
import os
from typing import Optional, Tuple

import regex as re

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


__lowercase        =    logging.get_logger(__name__)

__lowercase        =    {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

__lowercase        =    {
    '''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        =    {
    '''ctrl''': 2_5_6,
}

__lowercase        =    {
    '''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 							snake_case__				(     _A:   str					)       ->      int:

		'''simple docstring'''


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

		lowerCAmelCase     =    set(_A					)
		return pairs






class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	Optional[int]						=			VOCAB_FILES_NAMES
			UpperCAmelCase_     :	Union[str, Any]						=			PRETRAINED_VOCAB_FILES_MAP
			UpperCAmelCase_     :	Union[str, Any]						=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCAmelCase_     :	List[Any]						=			CONTROL_CODES



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




					"""simple docstring"""


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

					with open(__lowerCAmelCase			,       encoding="""utf-8""") as vocab_handle:
							lowerCAmelCase     =    json.load(__lowerCAmelCase)
					lowerCAmelCase     =    {v: k for k, v in self.encoder.items()}
					with open(__lowerCAmelCase			,       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(__lowerCAmelCase			,       range(len(__lowerCAmelCase))))
					lowerCAmelCase     =    {}



			@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			,       __lowerCAmelCase):




					"""simple docstring"""


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

					if not pairs:
							return token

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



			def 				a_			(  self			,       __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase     =    []

					lowerCAmelCase     =    re.findall(r"""\S+\n?"""			,       __lowerCAmelCase)

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



			def 				a_			(  self			,       __lowerCAmelCase):




					"""simple docstring"""


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



			def 				a_			(  self			,       __lowerCAmelCase):




					"""simple docstring"""


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



			def 				a_			(  self			,       __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase     =    """ """.join(__lowerCAmelCase).replace("""@@ """			,       """""").strip()
					return out_string







			def 				a_			(  self			,       __lowerCAmelCase			,       __lowerCAmelCase = None):




					"""simple docstring"""


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

					lowerCAmelCase     =    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!""")
											lowerCAmelCase     =    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)





'''simple docstring'''




# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.






def 							snake_case__				(     _A:   Dict					)       ->      str:

		'''simple docstring'''


		lowerCAmelCase     =    [False] * len(_A					)
		lowerCAmelCase     =    [-1] * len(_A					)

		def dfs(_A:   Dict ,  _A:   Tuple					):
				lowerCAmelCase     =    True
				lowerCAmelCase     =    c
				for u in graph[v]:
						if not visited[u]:
								dfs(_A ,  1 - c					)

		for i in range(len(_A					)					):
				if not visited[i]:
						dfs(_A ,  0					)

		for i in range(len(_A					)					):
				for j in graph[i]:
						if color[i] == color[j]:
								return False

		return True


# Adjacency list of graph
__lowercase        =    {0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}




print(check_bipartite_dfs(graph))




