from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase   :				Tuple     			=						logging.get_logger(__name__)

_lowerCamelCase   :				Tuple     			=						{
    '''weiweishi/roc-bert-base-zh''': '''https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json''',
}


class   lowercase      (       a       ):
							lowercase__  :    List[str]									=							"""roc_bert"""




							def __init__(  self				:   Dict		,							_UpperCamelCase				:   Dict=30_522		,							_UpperCamelCase				:   Tuple=768		,							_UpperCamelCase				:   int=12		,							_UpperCamelCase				:   str=12		,							_UpperCamelCase				:   Any=3_072		,							_UpperCamelCase				:   Tuple="gelu"		,							_UpperCamelCase				:   int=0.1		,							_UpperCamelCase				:   List[str]=0.1		,							_UpperCamelCase				:   Tuple=512		,							_UpperCamelCase				:   Tuple=2		,							_UpperCamelCase				:   Dict=0.0_2		,							_UpperCamelCase				:   Dict=1e-12		,							_UpperCamelCase				:   Optional[int]=True		,							_UpperCamelCase				:   int=0		,							_UpperCamelCase				:   Tuple="absolute"		,							_UpperCamelCase				:   Any=None		,							_UpperCamelCase				:   List[str]=True		,							_UpperCamelCase				:   Any=True		,							_UpperCamelCase				:   Any=768		,							_UpperCamelCase				:   List[Any]=910		,							_UpperCamelCase				:   List[str]=512		,							_UpperCamelCase				:   Union[str, Any]=24_858		,							_UpperCamelCase				:   List[str]=True		,							**_UpperCamelCase				:   int		,							)   ->			Any:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    vocab_size
												SCREAMING_SNAKE_CASE           =    max_position_embeddings
												SCREAMING_SNAKE_CASE           =    hidden_size
												SCREAMING_SNAKE_CASE           =    num_hidden_layers
												SCREAMING_SNAKE_CASE           =    num_attention_heads
												SCREAMING_SNAKE_CASE           =    intermediate_size
												SCREAMING_SNAKE_CASE           =    hidden_act
												SCREAMING_SNAKE_CASE           =    hidden_dropout_prob
												SCREAMING_SNAKE_CASE           =    attention_probs_dropout_prob
												SCREAMING_SNAKE_CASE           =    initializer_range
												SCREAMING_SNAKE_CASE           =    type_vocab_size
												SCREAMING_SNAKE_CASE           =    layer_norm_eps
												SCREAMING_SNAKE_CASE           =    use_cache
												SCREAMING_SNAKE_CASE           =    enable_pronunciation
												SCREAMING_SNAKE_CASE           =    enable_shape
												SCREAMING_SNAKE_CASE           =    pronunciation_embed_dim
												SCREAMING_SNAKE_CASE           =    pronunciation_vocab_size
												SCREAMING_SNAKE_CASE           =    shape_embed_dim
												SCREAMING_SNAKE_CASE           =    shape_vocab_size
												SCREAMING_SNAKE_CASE           =    concat_input
												SCREAMING_SNAKE_CASE           =    position_embedding_type
												SCREAMING_SNAKE_CASE           =    classifier_dropout
												super().__init__(pad_token_id=_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 )




