





'''simple docstring'''

__lowerCAmelCase							:			Optional[Any]				=[
    ["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 		UpperCamelCase       (							_lowerCamelCase      :      Tuple ):
    A__       =    set()
    for row in edge_array:
        for item in row:
            distinct_edge.add(item[0] )
    return list(_lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      Union[str, Any]		, _lowerCamelCase      :      int ):
    A__       =    ["0"] * len(_lowerCamelCase )
    for i, row in enumerate(_lowerCamelCase ):
        for item in row:
            if distinct_edge in item[0]:
                A__       =    "1"
                break
    return "".join(_lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      str ):
    A__       =    get_distinct_edge(_lowerCamelCase )
    A__       =    {}

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





def 		UpperCamelCase       (							_lowerCamelCase      :      Optional[int] ):
    A__       =    {}
    for _, item in enumerate(_lowerCamelCase ):
        nodes.setdefault(item[2]		, [] ).append(item[0] )
    return nodes





def 		UpperCamelCase       (							_lowerCamelCase      :      Tuple ):
    A__       =    {}
    for key, value in nodes.items():
        A__       =    value
    return cluster





def 		UpperCamelCase       (							_lowerCamelCase      :      Optional[int] ):
    return [i * 1_00 / len(_lowerCamelCase ) for i in cluster]





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





def 		UpperCamelCase       (							_lowerCamelCase      :      Dict		, _lowerCamelCase      :      List[str]		, _lowerCamelCase      :      int		, _lowerCamelCase      :      int ):
    for i in cluster[ca]:
        A__       =    0
        A__       =    ca + 1
        while ca < max(cluster.keys() ):
            for j in cluster[ca]:
                if int(_lowerCamelCase		, 2 ) & int(_lowerCamelCase		, 2 ) == int(_lowerCamelCase		, 2 ):
                    if tuple(nodes[i] ) in graph:
                        graph[tuple(nodes[i] )].append(nodes[j] )
                    else:
                        A__       =    [nodes[j]]
                    count += 1
            if count == 0:
                A__       =    ca + 1
            else:
                break





def 		UpperCamelCase       (							_lowerCamelCase      :      Optional[Any]		, _lowerCamelCase      :      str ):
    A__       =    cluster[max(cluster.keys() )]
    A__       =    "Header"
    A__       =    {}
    for i in x:
        if (["Header"],) in graph:
            graph[(["Header"],)].append(x[i] )
        else:
            A__       =    [x[i]]
    for i in x:
        A__       =    [["Header"]]
    A__       =    1
    while i < max(_lowerCamelCase ) - 1:
        create_edge(_lowerCamelCase		, _lowerCamelCase		, _lowerCamelCase		, _lowerCamelCase )
        A__       =    i + 1
    return graph





def 		UpperCamelCase       (							_lowerCamelCase      :      List[str]		, _lowerCamelCase      :      Any		, _lowerCamelCase      :      List[str]		, _lowerCamelCase      :      List[Any]=None ):
    A__       =    (path or []) + [start]
    if start == end:
        paths.append(_lowerCamelCase )
    for node in graph[start]:
        if tuple(_lowerCamelCase ) not in path:
            my_dfs(_lowerCamelCase		, tuple(_lowerCamelCase )		, _lowerCamelCase		, _lowerCamelCase )





def 		UpperCamelCase       (							_lowerCamelCase      :      List[str]		, _lowerCamelCase      :      Dict		, _lowerCamelCase      :      Union[str, Any] ):
    A__       =    int(s / 1_00 * (len(_lowerCamelCase ) - 1) )
    for i in cluster[k]:
        my_dfs(_lowerCamelCase		, tuple(cluster[k][i] )		, (["Header"],) )





def 		UpperCamelCase       (							_lowerCamelCase      :      Union[str, Any] ):
    A__       =    []
    for edges in paths:
        A__       =    []
        for j in range(len(_lowerCamelCase ) - 1 ):
            A__       =    list(edges[j] )
            for e in temp:
                A__       =    (e[0], e[1])
                el.append(_lowerCamelCase )
        freq_sub_el.append(_lowerCamelCase )
    return freq_sub_el





def 		UpperCamelCase       (							_lowerCamelCase      :      int ):
    for i in range(len(_lowerCamelCase ) ):
        for j in range(len(edge_array[i] ) ):
            A__       =    edge_array[i][j].split("-" )
            A__       =    t


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










'''simple docstring'''

import torch

from transformers import AutoTokenizer






class      UpperCAmelCase			( UpperCamelCase__       ):
 def __init__(       self   :Any		, lowercase_   :Dict							)->							Any:
     A__       =    AutoTokenizer.from_pretrained(lowercase_							)
 def   UpperCAmelCase_							(       self   :Tuple		, lowercase_   :int							)->							Optional[int]:

     if isinstance(lowercase_		, lowercase_							) and all(isinstance(_x		, lowercase_							) for _x in x							):
         A__       =    None
         for l in x:
             A__       =    self.tokenizer(
                 lowercase_		, padding="max_length"		, max_length=3_84		, truncation=lowercase_		, return_tensors="pt"		, )
             A__       =    torch.tensor([len(lowercase_							)]							)
             if d is not None:
                 for k in d.keys():
                     A__       =    torch.cat((d[k], t[k])		, 0							)
             else:
                 A__       =    t

         A__       =    torch.tensor(self.tokenizer.convert_tokens_to_ids("[E]"							)							)
         A__       =    torch.tensor(self.tokenizer.convert_tokens_to_ids("[/E]"							)							)

     elif isinstance(lowercase_		, lowercase_							) and all(isinstance(_x		, lowercase_							) for _x in x							):
         A__       =    self.tokenizer(
             lowercase_		, padding="max_length"		, max_length=3_84		, truncation=lowercase_		, return_tensors="pt"		, )

     else:
         raise Exception(
             "Type of parameter x was not recognized! Only `list of strings` for query or `list of lists of"
             " strings` for supports are supported."							)

     return d



 def   UpperCAmelCase_							(       self   :Union[str, Any]		, lowercase_   :List[str]		, lowercase_   :str		, lowercase_   :str		, lowercase_   :List[Any]		, lowercase_   :Dict=0.7_0							)->							int:
     A__       =    []
     for idx in range(len(W_query["input_ids"]							)							):
         A__       =    A__       =    range(p_start.shape[1]							)

         A__       =    []
         for start_id in start_indexes:
             for end_id in end_indexes:
                 if start_id < end_id:
                     output.append(
                         (
                             start_id,
                             end_id,
                             p_start[idx][start_id].item(),
                             p_end[idx][end_id].item(),
                         )							)

         output.sort(key=lambda lowercase_							: (tup[2] * tup[3])		, reverse=lowercase_							)
         A__       =    []
         for k in range(len(lowercase_							)							):
             if output[k][2] * output[k][3] >= thresh:
                 A__,			A__       =    output[k][0], output[k][1]
                 A__       =    self.tokenizer.decode(W_query["input_ids"][idx][c_start_pos:c_end_pos]							)
                 temp.append((decoded, output[k][2] * output[k][3])							)

         final_outputs.append(lowercase_							)

     return final_outputs



