



# 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

SCREAMING_SNAKE_CASE_:int					=						TypeVar("""T""")






class SCREAMING_SNAKE_CASE__					(		Generic[T]   ):




    '''simple docstring'''






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






    def       _lowerCAmelCase (	self,		lowerCamelCase__,		lowerCamelCase__		):

        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(lowerCamelCase__		)
                self.adj_list[destination_vertex].append(lowerCamelCase__		)
            # 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(lowerCamelCase__		)
                A			:	Any										=       [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(lowerCamelCase__		)
                A			:	List[str]										=       [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:
                A			:	Any										=       [destination_vertex]
                A			:	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(lowerCamelCase__		)
            # 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(lowerCamelCase__		)
                A			:	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:
                A			:	Union[str, Any]										=       [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:
                A			:	List[str]										=       [destination_vertex]
                A			:	Tuple										=       []

        return self






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







from argparse import ArgumentParser

from .env import EnvironmentCommand




def      __UpperCamelCase     (  )	->  Dict:



    """simple docstring"""






    A			:	str										=       ArgumentParser("""Diffusers CLI tool"""				,					usage="""diffusers-cli <command> [<args>]"""		)
    A			:	int										=       parser.add_subparsers(help="""diffusers-cli command helpers"""		)

    # Register commands
    EnvironmentCommand.register_subcommand(_lowerCAmelCase		)

    # Let's go
    A			:	str										=       parser.parse_args()

    if not hasattr(_lowerCAmelCase				,					"""func"""		):
        parser.print_help()
        exit(1		)

    # Run
    A			:	Any										=       args.func(_lowerCAmelCase		)
    service.run()


if __name__ == "__main__":
     main()


