from math import ceil





def 		__lowerCamelCase							(UpperCAmelCase__       :							Union[str, Any] ,	UpperCAmelCase__       :							Union[str, Any]					):
					SCREAMING_SNAKE_CASE           =    list(range(0 ,	UpperCAmelCase__					)					)

					SCREAMING_SNAKE_CASE           =    [item for sublist in list(device_map.values()					) for item in sublist]

					# Duplicate check
					SCREAMING_SNAKE_CASE           =    []
					for i in device_map_blocks:
										if device_map_blocks.count(UpperCAmelCase__					) > 1 and i not in duplicate_blocks:
															duplicate_blocks.append(UpperCAmelCase__					)
    # Missing blocks
					SCREAMING_SNAKE_CASE           =    [i for i in blocks if i not in device_map_blocks]
					SCREAMING_SNAKE_CASE           =    [i for i in device_map_blocks if i not in blocks]

					if len(UpperCAmelCase__					) != 0:
										raise ValueError(
										    "Duplicate attention blocks specified in device_map. Attention blocks must be specified to one device."
										    " These attention blocks were specified more than once: " + str(UpperCAmelCase__					)					)
					if len(UpperCAmelCase__					) != 0:
										raise ValueError(
										    "There are attention blocks for this model that are not specified in the device_map. Add these attention "
										    "blocks to a device on the device_map: " + str(UpperCAmelCase__					)					)
					if len(UpperCAmelCase__					) != 0:
										raise ValueError(
										    "The device_map contains more attention blocks than this model has. Remove these from the device_map:"
										    + str(UpperCAmelCase__					)					)





def 		__lowerCamelCase							(UpperCAmelCase__       :							Any ,	UpperCAmelCase__       :							Tuple					):
					SCREAMING_SNAKE_CASE           =    list(range(UpperCAmelCase__					)					)
					SCREAMING_SNAKE_CASE           =    int(ceil(n_layers / len(UpperCAmelCase__					)					)					)
					SCREAMING_SNAKE_CASE           =    [layers[i : i + n_blocks] for i in range(0 ,	UpperCAmelCase__ ,	UpperCAmelCase__					)]

					return dict(zip(UpperCAmelCase__ ,	UpperCAmelCase__					)					)





# 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

_lowerCamelCase   :				Union[str, Any]     			=						TypeVar('''T''')


class   lowercase      (       Generic[T]       ):




							def __init__(  self				:   int		,							_UpperCamelCase				:   bool = True )   ->			None:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    {}  # dictionary of lists
												SCREAMING_SNAKE_CASE           =    directed




							def 		__snake_case(  self				:   int		,							_UpperCamelCase				:   T		,							_UpperCamelCase				:   T )   ->			GraphAdjacencyList[T]:



												'''simple docstring'''

												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(_UpperCamelCase )
																						self.adj_list[destination_vertex].append(_UpperCamelCase )
																	# 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(_UpperCamelCase )
																						SCREAMING_SNAKE_CASE           =    [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(_UpperCamelCase )
																						SCREAMING_SNAKE_CASE           =    [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:
																						SCREAMING_SNAKE_CASE           =    [destination_vertex]
																						SCREAMING_SNAKE_CASE           =    [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(_UpperCamelCase )
																	# 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(_UpperCamelCase )
																						SCREAMING_SNAKE_CASE           =    []
																	# 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:
																						SCREAMING_SNAKE_CASE           =    [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:
																						SCREAMING_SNAKE_CASE           =    [destination_vertex]
																						SCREAMING_SNAKE_CASE           =    []

												return self





							def __repr__(  self				:   Union[str, Any] )   ->			str:



												'''simple docstring'''

												return pformat(self.adj_list )




