
'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

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


__lowercase							:				Tuple					=       logging.get_logger(__name__)

__lowercase							:				Union[str, Any]					=       {
    '''squeezebert/squeezebert-uncased''': (
        '''https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json'''
    ),
    '''squeezebert/squeezebert-mnli''': '''https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json''',
    '''squeezebert/squeezebert-mnli-headless''': (
        '''https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json'''
    ),
}

class 		__lowercase			(					_lowercase      ):
			lowerCamelCase     :						Union[str, Any]		 =     SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
			lowerCamelCase     :						Any		 =     "squeezebert"

			def __init__(self     ,				A=3_0_5_2_2     ,				A=7_6_8     ,				A=1_2     ,				A=1_2     ,				A=3_0_7_2     ,				A="gelu"     ,				A=0.1     ,				A=0.1     ,				A=5_1_2     ,				A=2     ,				A=0.02     ,				A=1E-12     ,				A=0     ,				A=7_6_8     ,				A=4     ,				A=4     ,				A=4     ,				A=1     ,				A=4     ,				A=4     ,				**A     ,				):
								super().__init__(pad_token_id=A     ,				**A )

								lowerCamelCase_   : Optional[int]       =						vocab_size
								lowerCamelCase_   : Optional[int]       =						hidden_size
								lowerCamelCase_   : List[str]       =						num_hidden_layers
								lowerCamelCase_   : Any       =						num_attention_heads
								lowerCamelCase_   : Union[str, Any]       =						hidden_act
								lowerCamelCase_   : str       =						intermediate_size
								lowerCamelCase_   : Union[str, Any]       =						hidden_dropout_prob
								lowerCamelCase_   : Any       =						attention_probs_dropout_prob
								lowerCamelCase_   : Dict       =						max_position_embeddings
								lowerCamelCase_   : Tuple       =						type_vocab_size
								lowerCamelCase_   : Tuple       =						initializer_range
								lowerCamelCase_   : str       =						layer_norm_eps
								lowerCamelCase_   : Tuple       =						embedding_size
								lowerCamelCase_   : int       =						q_groups
								lowerCamelCase_   : Union[str, Any]       =						k_groups
								lowerCamelCase_   : Union[str, Any]       =						v_groups
								lowerCamelCase_   : Optional[Any]       =						post_attention_groups
								lowerCamelCase_   : List[Any]       =						intermediate_groups
								lowerCamelCase_   : str       =						output_groups

class 		__lowercase			(					_lowercase      ):

			@property
			def     UpperCAmelCase__	(self ):
								if self.task == "multiple-choice":
													lowerCamelCase_   : List[str]       =						{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
								else:
													lowerCamelCase_   : Tuple       =						{0: '''batch''', 1: '''sequence'''}
								return OrderedDict(
								    [
								        ('''input_ids''', dynamic_axis),
								        ('''attention_mask''', dynamic_axis),
								        ('''token_type_ids''', dynamic_axis),
								    ] )




'''simple docstring'''


__lowercase							:				str					=       [
    ['''ab-e1''', '''ac-e3''', '''ad-e5''', '''bc-e4''', '''bd-e2''', '''be-e6''', '''bh-e12''', '''cd-e2''', '''ce-e4''',
     '''de-e1''', '''df-e8''', '''dg-e5''', '''dh-e10''', '''ef-e3''', '''eg-e2''', '''fg-e6''', '''gh-e6''', '''hi-e3'''],
    ['''ab-e1''', '''ac-e3''', '''ad-e5''', '''bc-e4''', '''bd-e2''', '''be-e6''', '''cd-e2''', '''de-e1''', '''df-e8''',
     '''ef-e3''', '''eg-e2''', '''fg-e6'''],
    ['''ab-e1''', '''ac-e3''', '''bc-e4''', '''bd-e2''', '''de-e1''', '''df-e8''', '''dg-e5''', '''ef-e3''', '''eg-e2''',
     '''eh-e12''', '''fg-e6''', '''fh-e10''', '''gh-e6'''],
    ['''ab-e1''', '''ac-e3''', '''bc-e4''', '''bd-e2''', '''bh-e12''', '''cd-e2''', '''df-e8''', '''dh-e10'''],
    ['''ab-e1''', '''ac-e3''', '''ad-e5''', '''bc-e4''', '''bd-e2''', '''cd-e2''', '''ce-e4''', '''de-e1''', '''df-e8''',
     '''dg-e5''', '''ef-e3''', '''eg-e2''', '''fg-e6''']
]




def lowercase_		(				_lowercase			)       ->							Optional[int]:
					'''simple docstring'''

					lowerCamelCase_   : Union[str, Any]       =						set()
					for row in edge_array:
										for item in row:
															distinct_edge.add(item[0]			)
					return list(_lowercase			)




def lowercase_		(				_lowercase     ,    _lowercase			)       ->							int:
					'''simple docstring'''

					lowerCamelCase_   : List[Any]       =						['''0'''] * len(_lowercase			)
					for i, row in enumerate(_lowercase			):
										for item in row:
															if distinct_edge in item[0]:
																				lowerCamelCase_   : Union[str, Any]       =						'''1'''
																				break
					return "".join(_lowercase			)




def lowercase_		(				_lowercase			)       ->							Optional[int]:
					'''simple docstring'''

					lowerCamelCase_   : int       =						get_distinct_edge(_lowercase			)
					lowerCamelCase_   : Any       =						{}

					for item in distinct_edge:
										lowerCamelCase_   : Dict       =						get_bitcode(_lowercase     ,    _lowercase			)
										# print('bit',bit)
										# bt=''.join(bit)
										lowerCamelCase_   : Dict       =						bit.count('''1'''			)
										lowerCamelCase_   : Tuple       =						[s, bit]
					# Store [Distinct edge, WT(Bitcode), Bitcode] in descending order
					lowerCamelCase_   : int       =						[
					    [k, v[0], v[1]]
					    for k, v in sorted(frequency_table.items()     ,    key=lambda _lowercase			: v[1][0]     ,    reverse=_lowercase			)
					]
					return sorted_frequency_table




def lowercase_		(				_lowercase			)       ->							Any:
					'''simple docstring'''

					lowerCamelCase_   : Dict       =						{}
					for _, item in enumerate(_lowercase			):
										nodes.setdefault(item[2]     ,    []			).append(item[0]			)
					return nodes




def lowercase_		(				_lowercase			)       ->							str:
					'''simple docstring'''

					lowerCamelCase_   : List[Any]       =						{}
					for key, value in nodes.items():
										lowerCamelCase_   : Optional[int]       =						value
					return cluster




def lowercase_		(				_lowercase			)       ->							Optional[int]:
					'''simple docstring'''

					return [i * 100 / len(_lowercase			) for i in cluster]




def lowercase_		(				)       ->							None:
					'''simple docstring'''

					print('''\nNodes\n'''			)
					for key, value in nodes.items():
										print(_lowercase     ,    _lowercase			)
					print('''\nSupport\n'''			)
					print(_lowercase			)
					print('''\n Cluster \n'''			)
					for key, value in sorted(cluster.items()     ,    reverse=_lowercase			):
										print(_lowercase     ,    _lowercase			)
					print('''\n Graph\n'''			)
					for key, value in graph.items():
										print(_lowercase     ,    _lowercase			)
					print('''\n Edge List of Frequent subgraphs \n'''			)
					for edge_list in freq_subgraph_edge_list:
										print(_lowercase			)




def lowercase_		(				_lowercase     ,    _lowercase     ,    _lowercase     ,    _lowercase			)       ->							Tuple:
					'''simple docstring'''

					for i in cluster[ca]:
										lowerCamelCase_   : str       =						0
										lowerCamelCase_   : Optional[Any]       =						ca + 1
										while ca < max(cluster.keys()			):
															for j in cluster[ca]:
																				if int(_lowercase     ,    2			) & int(_lowercase     ,    2			) == int(_lowercase     ,    2			):
																									if tuple(nodes[i]			) in graph:
																														graph[tuple(nodes[i]			)].append(nodes[j]			)
																									else:
																														lowerCamelCase_   : Union[str, Any]       =						[nodes[j]]
																									count += 1
															if count == 0:
																				lowerCamelCase_   : Any       =						ca + 1
															else:
																				break




def lowercase_		(				_lowercase     ,    _lowercase			)       ->							Dict:
					'''simple docstring'''

					lowerCamelCase_   : List[str]       =						cluster[max(cluster.keys()			)]
					lowerCamelCase_   : Tuple       =						'''Header'''
					lowerCamelCase_   : Optional[int]       =						{}
					for i in x:
										if (["Header"],) in graph:
															graph[(["Header"],)].append(x[i]			)
										else:
															lowerCamelCase_   : Any       =						[x[i]]
					for i in x:
										lowerCamelCase_   : Any       =						[['''Header''']]
					lowerCamelCase_   : List[Any]       =						1
					while i < max(_lowercase			) - 1:
										create_edge(_lowercase     ,    _lowercase     ,    _lowercase     ,    _lowercase			)
										lowerCamelCase_   : Tuple       =						i + 1
					return graph




def lowercase_		(				_lowercase     ,    _lowercase     ,    _lowercase     ,    _lowercase=None			)       ->							Dict:
					'''simple docstring'''

					lowerCamelCase_   : List[str]       =						(path or []) + [start]
					if start == end:
										paths.append(_lowercase			)
					for node in graph[start]:
										if tuple(_lowercase			) not in path:
															my_dfs(_lowercase     ,    tuple(_lowercase			)     ,    _lowercase     ,    _lowercase			)




def lowercase_		(				_lowercase     ,    _lowercase     ,    _lowercase			)       ->							int:
					'''simple docstring'''

					lowerCamelCase_   : Dict       =						int(s / 100 * (len(_lowercase			) - 1)			)
					for i in cluster[k]:
										my_dfs(_lowercase     ,    tuple(cluster[k][i]			)     ,    (['''Header'''],)			)




def lowercase_		(				_lowercase			)       ->							Optional[Any]:
					'''simple docstring'''

					lowerCamelCase_   : Tuple       =						[]
					for edges in paths:
										lowerCamelCase_   : Optional[int]       =						[]
										for j in range(len(_lowercase			) - 1			):
															lowerCamelCase_   : List[str]       =						list(edges[j]			)
															for e in temp:
																				lowerCamelCase_   : Dict       =						(e[0], e[1])
																				el.append(_lowercase			)
										freq_sub_el.append(_lowercase			)
					return freq_sub_el




def lowercase_		(				_lowercase			)       ->							int:
					'''simple docstring'''

					for i in range(len(_lowercase			)			):
										for j in range(len(edge_array[i]			)			):
															lowerCamelCase_   : Any       =						edge_array[i][j].split('''-'''			)
															lowerCamelCase_   : Optional[Any]       =						t


if __name__ == "__main__":
					preprocess(edge_array)
					__lowercase							:				List[Any]					=       get_frequency_table(edge_array)
					__lowercase							:				Optional[Any]					=       get_nodes(frequency_table)
					__lowercase							:				int					=       get_cluster(nodes)
					__lowercase							:				Any					=       get_support(cluster)
					__lowercase							:				int					=       construct_graph(cluster, nodes)
					find_freq_subgraph_given_support(60, cluster, graph)
					__lowercase							:				list					=       []
					__lowercase							:				Optional[int]					=       freq_subgraphs_edge_list(paths)
					print_all()


