
_A							=       [
    ['''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 					lowerCamelCase__					(    a__	:	str  )		->						Any:
       UpperCamelCase_											=							set()
       for row in edge_array:
              for item in row:
                     distinct_edge.add(item[0]  )
       return list(a_  )




def 					lowerCamelCase__					(    a__	:	Optional[int]						,   a__	:	List[str]  )		->						Optional[int]:
       UpperCamelCase_											=							["""0"""] * len(a_  )
       for i, row in enumerate(a_  ):
              for item in row:
                     if distinct_edge in item[0]:
                            UpperCamelCase_											=							"""1"""
                            break
       return "".join(a_  )




def 					lowerCamelCase__					(    a__	:	Dict  )		->						Optional[int]:
       UpperCamelCase_											=							get_distinct_edge(a_  )
       UpperCamelCase_											=							{}

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




def 					lowerCamelCase__					(    a__	:	List[str]  )		->						Any:
       UpperCamelCase_											=							{}
       for _, item in enumerate(a_  ):
              nodes.setdefault(item[2]						,   []  ).append(item[0]  )
       return nodes




def 					lowerCamelCase__					(    a__	:	List[Any]  )		->						str:
       UpperCamelCase_											=							{}
       for key, value in nodes.items():
              UpperCamelCase_											=							value
       return cluster




def 					lowerCamelCase__					(    a__	:	Optional[Any]  )		->						Any:
       return [i * 100 / len(a_  ) for i in cluster]




def 					lowerCamelCase__					(    )		->						None:
       print("""\nNodes\n"""  )
       for key, value in nodes.items():
              print(a_						,   a_  )
       print("""\nSupport\n"""  )
       print(a_  )
       print("""\n Cluster \n"""  )
       for key, value in sorted(cluster.items()						,   reverse=a_  ):
              print(a_						,   a_  )
       print("""\n Graph\n"""  )
       for key, value in graph.items():
              print(a_						,   a_  )
       print("""\n Edge List of Frequent subgraphs \n"""  )
       for edge_list in freq_subgraph_edge_list:
              print(a_  )




def 					lowerCamelCase__					(    a__	:	Tuple						,   a__	:	int						,   a__	:	Optional[Any]						,   a__	:	List[Any]  )		->						List[str]:







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




def 					lowerCamelCase__					(    a__	:	Optional[int]						,   a__	:	Optional[Any]  )		->						Union[str, Any]:
       UpperCamelCase_											=							cluster[max(cluster.keys()  )]
       UpperCamelCase_											=							"""Header"""
       UpperCamelCase_											=							{}
       for i in x:
              if (["Header"],) in graph:
                     graph[(["Header"],)].append(x[i]  )
              else:
                     UpperCamelCase_											=							[x[i]]
       for i in x:
              UpperCamelCase_											=							[["""Header"""]]
       UpperCamelCase_											=							1
       while i < max(a_  ) - 1:
              create_edge(a_						,   a_						,   a_						,   a_  )
              UpperCamelCase_											=							i + 1
       return graph




def 					lowerCamelCase__					(    a__	:	Union[str, Any]						,   a__	:	Dict						,   a__	:	str						,   a__	:	str=None  )		->						Optional[Any]:
       UpperCamelCase_											=							(path or []) + [start]
       if start == end:
              paths.append(a_  )
       for node in graph[start]:
              if tuple(a_  ) not in path:
                     my_dfs(a_						,   tuple(a_  )						,   a_						,   a_  )




def 					lowerCamelCase__					(    a__	:	Union[str, Any]						,   a__	:	Dict						,   a__	:	Optional[int]  )		->						Optional[Any]:
       UpperCamelCase_											=							int(s / 100 * (len(a_  ) - 1)  )
       for i in cluster[k]:
              my_dfs(a_						,   tuple(cluster[k][i]  )						,   (["""Header"""],)  )




def 					lowerCamelCase__					(    a__	:	Dict  )		->						List[Any]:
       UpperCamelCase_											=							[]
       for edges in paths:
              UpperCamelCase_											=							[]
              for j in range(len(a_  ) - 1  ):
                     UpperCamelCase_											=							list(edges[j]  )
                     for e in temp:
                            UpperCamelCase_											=							(e[0], e[1])
                            el.append(a_  )
              freq_sub_el.append(a_  )
       return freq_sub_el




def 					lowerCamelCase__					(    a__	:	Optional[Any]  )		->						Tuple:







       for i in range(len(a_  )  ):
              for j in range(len(edge_array[i]  )  ):
                     UpperCamelCase_											=							edge_array[i][j].split("""-"""  )
                     UpperCamelCase_											=							t


if __name__ == "__main__":
      preprocess(edge_array)
      _A							=       get_frequency_table(edge_array)
      _A							=       get_nodes(frequency_table)
      _A							=       get_cluster(nodes)
      _A							=       get_support(cluster)
      _A							=       construct_graph(cluster, nodes)
      find_freq_subgraph_given_support(60, cluster, graph)
      _A							=       []
      _A							=       freq_subgraphs_edge_list(paths)
      print_all()






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


A__							=				{"configuration_pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig"]}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A__							=				["PegasusTokenizer"]

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A__							=				["PegasusTokenizerFast"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A__							=				[
						    "PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "PegasusForCausalLM",
						    "PegasusForConditionalGeneration",
						    "PegasusModel",
						    "PegasusPreTrainedModel",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A__							=				[
						    "TFPegasusForConditionalGeneration",
						    "TFPegasusModel",
						    "TFPegasusPreTrainedModel",
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A__							=				[
						    "FlaxPegasusForConditionalGeneration",
						    "FlaxPegasusModel",
						    "FlaxPegasusPreTrainedModel",
						]


if TYPE_CHECKING:
						from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_pegasus import PegasusTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_pegasus_fast import PegasusTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_pegasus import (
												    PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
												    PegasusForCausalLM,
												    PegasusForConditionalGeneration,
												    PegasusModel,
												    PegasusPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_pegasus import (
												    FlaxPegasusForConditionalGeneration,
												    FlaxPegasusModel,
												    FlaxPegasusPreTrainedModel,
												)

else:
						import sys

						A__							=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




