
import copy
import random

from transformers import CLIPTokenizer




class     _SCREAMING_SNAKE_CASE     (      snake_case_						):



	def __init__(    self						,  *lowercase						,  **lowercase )				->       Dict:
					super().__init__(*lowercase						,  **lowercase )
					lowerCamelCase_						=			{}



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  *lowercase						,  **lowercase )				->       Optional[Any]:
					lowerCamelCase_						=			super().add_tokens(lowercase						,  *lowercase						,  **lowercase )
					if num_added_tokens == 0:
									raise ValueError(
									    f'The tokenizer already contains the token {placeholder_token}. Please pass a different'
									    " `placeholder_token` that is not already in the tokenizer." )



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  *lowercase						,  lowercase=1						,  **lowercase )				->       Union[str, Any]:
					lowerCamelCase_						=			[]
					if num_vec_per_token == 1:
									self.try_adding_tokens(lowercase						,  *lowercase						,  **lowercase )
									output.append(lowercase )
					else:
									lowerCamelCase_						=			[]
									for i in range(lowercase ):
													lowerCamelCase_						=			placeholder_token + f'_{i}'
													self.try_adding_tokens(lowercase						,  *lowercase						,  **lowercase )
													output.append(lowercase )
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
					for token in self.token_map:
									if token in placeholder_token:
													raise ValueError(
													    f'The tokenizer already has placeholder token {token} that can get confused with'
													    f' {placeholder_token}keep placeholder tokens independent' )
					lowerCamelCase_						=			output



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  lowercase=False						,  lowercase=1.0 )				->       str:
					if isinstance(lowercase						,  lowercase ):
									lowerCamelCase_						=			[]
									for i in range(len(lowercase ) ):
													output.append(self.replace_placeholder_tokens_in_text(text[i]						,  vector_shuffle=lowercase ) )
									return output
					for placeholder_token in self.token_map:
									if placeholder_token in text:
													lowerCamelCase_						=			self.token_map[placeholder_token]
													lowerCamelCase_						=			tokens[: 1 + int(len(lowercase ) * prop_tokens_to_load )]
													if vector_shuffle:
																	lowerCamelCase_						=			copy.copy(lowercase )
																	random.shuffle(lowercase )
													lowerCamelCase_						=			text.replace(lowercase						,  " ".join(lowercase ) )
					return text



	def __call__(    self						,  lowercase						,  *lowercase						,  lowercase=False						,  lowercase=1.0						,  **lowercase )				->       str:
					return super().__call__(
					    self.replace_placeholder_tokens_in_text(
					        lowercase						,  vector_shuffle=lowercase						,  prop_tokens_to_load=lowercase )						,  *lowercase						,  **lowercase						,  )



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  *lowercase						,  lowercase=False						,  lowercase=1.0						,  **lowercase )				->       Tuple:
					return super().encode(
					    self.replace_placeholder_tokens_in_text(
					        lowercase						,  vector_shuffle=lowercase						,  prop_tokens_to_load=lowercase )						,  *lowercase						,  **lowercase						,  )




from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst





def 			lowerCamelCase_ (				):
				lowerCamelCase_	,    lowerCamelCase_						=			9, 1_4  # noqa: F841
				lowerCamelCase_						=			[
				    [0, 1, 4],
				    [0, 7, 8],
				    [1, 2, 8],
				    [7, 8, 7],
				    [7, 6, 1],
				    [2, 8, 2],
				    [8, 6, 6],
				    [2, 3, 7],
				    [2, 5, 4],
				    [6, 5, 2],
				    [3, 5, 1_4],
				    [3, 4, 9],
				    [5, 4, 1_0],
				    [1, 7, 1_1],
				]

				lowerCamelCase_						=			defaultdict(lowerCamelCase__    )
				for nodea, nodea, cost in edges:
								adjancency[nodea].append([nodea, cost]    )
								adjancency[nodea].append([nodea, cost]    )

				lowerCamelCase_						=			mst(lowerCamelCase__    )

				lowerCamelCase_						=			[
				    [7, 6, 1],
				    [2, 8, 2],
				    [6, 5, 2],
				    [0, 1, 4],
				    [2, 5, 4],
				    [2, 3, 7],
				    [0, 7, 8],
				    [3, 4, 9],
				]

				for answer in expected:
								lowerCamelCase_						=			tuple(answer[:2]    )
								lowerCamelCase_						=			tuple(edge[::-1]    )
								assert edge in result or reverse in result


