






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__snake_case    :    int         =     logging.get_logger(__name__)

__snake_case    :    List[Any]         =     {
    """YituTech/conv-bert-base""": """https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json""",
    """YituTech/conv-bert-medium-small""": (
        """https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json"""
    ),
    """YituTech/conv-bert-small""": """https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json""",
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}


class     __SCREAMING_SNAKE_CASE					(   __lowercase):
						_SCREAMING_SNAKE_CASE	:       List[Any]   =					'''convbert'''






						def __init__(	self     ,						_UpperCamelCase=3_05_22     ,						_UpperCamelCase=7_68     ,						_UpperCamelCase=12     ,						_UpperCamelCase=12     ,						_UpperCamelCase=30_72     ,						_UpperCamelCase="gelu"     ,						_UpperCamelCase=0.1     ,						_UpperCamelCase=0.1     ,						_UpperCamelCase=5_12     ,						_UpperCamelCase=2     ,						_UpperCamelCase=0.02     ,						_UpperCamelCase=1E-12     ,						_UpperCamelCase=1     ,						_UpperCamelCase=0     ,						_UpperCamelCase=2     ,						_UpperCamelCase=7_68     ,						_UpperCamelCase=2     ,						_UpperCamelCase=9     ,						_UpperCamelCase=1     ,						_UpperCamelCase=None     ,						**_UpperCamelCase     ,						):






												"""simple docstring"""
												super().__init__(
												    pad_token_id=_UpperCamelCase     ,						bos_token_id=_UpperCamelCase     ,						eos_token_id=_UpperCamelCase     ,						**_UpperCamelCase     ,						)

												lowerCAmelCase__    						=						vocab_size
												lowerCAmelCase__    						=						hidden_size
												lowerCAmelCase__    						=						num_hidden_layers
												lowerCAmelCase__    						=						num_attention_heads
												lowerCAmelCase__    						=						intermediate_size
												lowerCAmelCase__    						=						hidden_act
												lowerCAmelCase__    						=						hidden_dropout_prob
												lowerCAmelCase__    						=						attention_probs_dropout_prob
												lowerCAmelCase__    						=						max_position_embeddings
												lowerCAmelCase__    						=						type_vocab_size
												lowerCAmelCase__    						=						initializer_range
												lowerCAmelCase__    						=						layer_norm_eps
												lowerCAmelCase__    						=						embedding_size
												lowerCAmelCase__    						=						head_ratio
												lowerCAmelCase__    						=						conv_kernel_size
												lowerCAmelCase__    						=						num_groups
												lowerCAmelCase__    						=						classifier_dropout




class     __SCREAMING_SNAKE_CASE					(   __lowercase):






						@property
						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												if self.task == "multiple-choice":
																		lowerCAmelCase__    						=						{0: 'batch', 1: 'choice', 2: 'sequence'}
												else:
																		lowerCAmelCase__    						=						{0: 'batch', 1: 'sequence'}
												return OrderedDict(
												    [
												        ('input_ids', dynamic_axis),
												        ('attention_mask', dynamic_axis),
												        ('token_type_ids', dynamic_axis),
												    ]   )













from __future__ import annotations

__snake_case    :    Any         =     {
    """A""": ["""B""", """C""", """E"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F""", """G"""],
    """D""": ["""B"""],
    """E""": ["""A""", """B""", """D"""],
    """F""": ["""C"""],
    """G""": ["""C"""],
}


class     __SCREAMING_SNAKE_CASE					:






						def __init__(	self     ,						_UpperCamelCase     ,						_UpperCamelCase   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						graph
												# mapping node to its parent in resulting breadth first tree
												lowerCAmelCase__    						=						{}
												lowerCAmelCase__    						=						source_vertex






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						{self.source_vertex}
												lowerCAmelCase__    						=						None
												lowerCAmelCase__    						=						[self.source_vertex]  # first in first out queue

												while queue:
																		lowerCAmelCase__    						=						queue.pop(0   )
																		for adjacent_vertex in self.graph[vertex]:
																								if adjacent_vertex not in visited:
																														visited.add(_UpperCamelCase   )
																														lowerCAmelCase__    						=						vertex
																														queue.append(_UpperCamelCase   )







						def       UpperCamelCase__      (	self     ,						_UpperCamelCase   ):






												"""simple docstring"""
												if target_vertex == self.source_vertex:
																		return self.source_vertex

												lowerCAmelCase__    						=						self.parent.get(_UpperCamelCase   )
												if target_vertex_parent is None:
																		lowerCAmelCase__    						=						(
																		    F"No path from vertex: {self.source_vertex} to vertex: {target_vertex}"
																		)
																		raise ValueError(_UpperCamelCase   )

												return self.shortest_path(_UpperCamelCase   ) + F"->{target_vertex}"


if __name__ == "__main__":
					__snake_case    :    Optional[Any]         =     Graph(graph, """G""")
					g.breath_first_search()
					print(g.shortest_path("""D"""))
					print(g.shortest_path("""G"""))
					print(g.shortest_path("""Foo"""))





