


'''simple docstring'''






# 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

__A :  Any    							=				TypeVar("T")






class        __snake_case	(       Generic[T]):







				"""simple docstring"""



				def __init__(       self   :  Optional[int]   ,						lowerCamelCase   :  int = True		)       ->  None:
						lowerCAmelCase_      :				Optional[int]      =       {}  # dictionary of lists
						lowerCAmelCase_      :				Optional[Any]      =       directed

				def __lowercase       (       self   :  Dict   ,						lowerCamelCase   :  str   ,						lowerCamelCase   :  List[str]		)       ->  GraphAdjacencyList[T]:

						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(_SCREAMING_SNAKE_CASE		)
										self.adj_list[destination_vertex].append(_SCREAMING_SNAKE_CASE		)
								# 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(_SCREAMING_SNAKE_CASE		)
										lowerCAmelCase_      :				List[str]      =       [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(_SCREAMING_SNAKE_CASE		)
										lowerCAmelCase_      :				Optional[int]      =       [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_      :				int      =       [destination_vertex]
										lowerCAmelCase_      :				Dict      =       [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(_SCREAMING_SNAKE_CASE		)
								# 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(_SCREAMING_SNAKE_CASE		)
										lowerCAmelCase_      :				Union[str, 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_      :				Optional[int]      =       [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_      :				Dict      =       [destination_vertex]
										lowerCAmelCase_      :				Dict      =       []

						return self





				def __repr__(       self   :  Optional[int]		)       ->  str:
						return pformat(self.adj_list		)







'''simple docstring'''






from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
  if not (is_transformers_available() and is_torch_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
  from .notes_encoder import SpectrogramNotesEncoder
  from .continous_encoder import SpectrogramContEncoder
  from .pipeline_spectrogram_diffusion import (
      SpectrogramContEncoder,
      SpectrogramDiffusionPipeline,
      TaFilmDecoder,
  )

try:
  if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
  from .midi_utils import MidiProcessor



