



import copy
import random

from transformers import CLIPTokenizer
class 				__A					( A_      ):





			def __init__(self							,    *__magic_name__							,    **__magic_name__				):
						super().__init__(*__magic_name__							,    **__magic_name__				)
						lowerCamelCase__ :      Optional[Any]								=		{}





			def        _snake_case    (self							,    __magic_name__							,    *__magic_name__							,    **__magic_name__				):
						lowerCamelCase__ :      Any								=		super().add_tokens(__magic_name__							,    *__magic_name__							,    **__magic_name__				)
						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        _snake_case    (self							,    __magic_name__							,    *__magic_name__							,    __magic_name__=1							,    **__magic_name__				):
						lowerCamelCase__ :      Union[str, Any]								=		[]
						if num_vec_per_token == 1:
									self.try_adding_tokens(__magic_name__							,    *__magic_name__							,    **__magic_name__				)
									output.append(__magic_name__				)
						else:
									lowerCamelCase__ :      Optional[int]								=		[]
									for i in range(__magic_name__				):
												lowerCamelCase__ :      Optional[int]								=		placeholder_token + f"_{i}"
												self.try_adding_tokens(__magic_name__							,    *__magic_name__							,    **__magic_name__				)
												output.append(__magic_name__				)
        # 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__ :      Union[str, Any]								=		output





			def        _snake_case    (self							,    __magic_name__							,    __magic_name__=False							,    __magic_name__=1.0				):
						if isinstance(__magic_name__							,    __magic_name__				):
									lowerCamelCase__ :      Union[str, Any]								=		[]
									for i in range(len(__magic_name__				)				):
												output.append(self.replace_placeholder_tokens_in_text(text[i]							,    vector_shuffle=__magic_name__				)				)
									return output
						for placeholder_token in self.token_map:
									if placeholder_token in text:
												lowerCamelCase__ :      Optional[Any]								=		self.token_map[placeholder_token]
												lowerCamelCase__ :      Any								=		tokens[: 1 + int(len(__magic_name__				) * prop_tokens_to_load				)]
												if vector_shuffle:
															lowerCamelCase__ :      Union[str, Any]								=		copy.copy(__magic_name__				)
															random.shuffle(__magic_name__				)
												lowerCamelCase__ :      Any								=		text.replace(__magic_name__							,    """ """.join(__magic_name__				)				)
						return text





			def __call__(self							,    __magic_name__							,    *__magic_name__							,    __magic_name__=False							,    __magic_name__=1.0							,    **__magic_name__				):
						return super().__call__(
						    self.replace_placeholder_tokens_in_text(
						        __magic_name__							,    vector_shuffle=__magic_name__							,    prop_tokens_to_load=__magic_name__				)							,    *__magic_name__							,    **__magic_name__							,    )





			def        _snake_case    (self							,    __magic_name__							,    *__magic_name__							,    __magic_name__=False							,    __magic_name__=1.0							,    **__magic_name__				):
						return super().encode(
						    self.replace_placeholder_tokens_in_text(
						        __magic_name__							,    vector_shuffle=__magic_name__							,    prop_tokens_to_load=__magic_name__				)							,    *__magic_name__							,    **__magic_name__							,    )








# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

_lowercase     							=						TypeVar('''T''')
class 				__A					( Generic[T]      ):





			def __init__(self							,    __magic_name__ = True				):
						lowerCamelCase__ :      dict[T, list[T]]								=		{}  # dictionary of lists
						lowerCamelCase__ :      List[str]								=		directed





			def        _snake_case    (self							,    __magic_name__							,    __magic_name__				):

						if not self.directed:  # For undirected graphs
									# if both source vertex and destination vertex are both present in the
									# adjacency list, add destination vertex to source vertex list of adjacent
									# vertices and add source vertex to destination vertex list of adjacent
									# vertices.
									if source_vertex in self.adj_list and destination_vertex in self.adj_list:
												self.adj_list[source_vertex].append(__magic_name__				)
												self.adj_list[destination_vertex].append(__magic_name__				)
									# if only source vertex is present in adjacency list, add destination vertex
									# to source vertex list of adjacent vertices, then create a new vertex with
									# destination vertex as key and assign a list containing the source vertex
									# as it's first adjacent vertex.
									elif source_vertex in self.adj_list:
												self.adj_list[source_vertex].append(__magic_name__				)
												lowerCamelCase__ :      int								=		[source_vertex]
									# if only destination vertex is present in adjacency list, add source vertex
									# to destination vertex list of adjacent vertices, then create a new vertex
									# with source vertex as key and assign a list containing the source vertex
									# as it's first adjacent vertex.
									elif destination_vertex in self.adj_list:
												self.adj_list[destination_vertex].append(__magic_name__				)
												lowerCamelCase__ :      Dict								=		[destination_vertex]
									# if both source vertex and destination vertex are not present in adjacency
									# list, create a new vertex with source vertex as key and assign a list
									# containing the destination vertex as it's first adjacent vertex also
									# create a new vertex with destination vertex as key and assign a list
									# containing the source vertex as it's first adjacent vertex.
									else:
												lowerCamelCase__ :      Any								=		[destination_vertex]
												lowerCamelCase__ :      Optional[Any]								=		[source_vertex]
						else:  # For directed graphs
									# if both source vertex and destination vertex are present in adjacency
									# list, add destination vertex to source vertex list of adjacent vertices.
									if source_vertex in self.adj_list and destination_vertex in self.adj_list:
												self.adj_list[source_vertex].append(__magic_name__				)
									# if only source vertex is present in adjacency list, add destination
									# vertex to source vertex list of adjacent vertices and create a new vertex
									# with destination vertex as key, which has no adjacent vertex
									elif source_vertex in self.adj_list:
												self.adj_list[source_vertex].append(__magic_name__				)
												lowerCamelCase__ :      Optional[Any]								=		[]
									# if only destination vertex is present in adjacency list, create a new
									# vertex with source vertex as key and assign a list containing destination
									# vertex as first adjacent vertex
									elif destination_vertex in self.adj_list:
												lowerCamelCase__ :      Tuple								=		[destination_vertex]
									# if both source vertex and destination vertex are not present in adjacency
									# list, create a new vertex with source vertex as key and a list containing
									# destination vertex as it's first adjacent vertex. Then create a new vertex
									# with destination vertex as key, which has no adjacent vertex
									else:
												lowerCamelCase__ :      Optional[int]								=		[destination_vertex]
												lowerCamelCase__ :      List[Any]								=		[]

						return self





			def __repr__(self				):
						return pformat(self.adj_list				)



