






"""simple docstring"""
A_     :					int							=     [
    ["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_    (		_lowerCamelCase							):
 lowerCamelCase__	:     Optional[int]								=		set()
 for row in edge_array:
  for item in row:
   distinct_edge.add(item[0]							)
 return list(UpperCAmelCase__							)






def 			lowerCamelCase_    (		_lowerCamelCase     ,  _lowerCamelCase							):
 lowerCamelCase__	:     Optional[Any]								=		["""0"""] * len(UpperCAmelCase__							)
 for i, row in enumerate(UpperCAmelCase__							):
  for item in row:
   if distinct_edge in item[0]:
    lowerCamelCase__	:     int								=		"""1"""
    break
 return "".join(UpperCAmelCase__							)






def 			lowerCamelCase_    (		_lowerCamelCase							):
 lowerCamelCase__	:     List[str]								=		get_distinct_edge(UpperCAmelCase__							)
 lowerCamelCase__	:     str								=		{}

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






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






def 			lowerCamelCase_    (		_lowerCamelCase							):
 lowerCamelCase__	:     Union[str, Any]								=		{}
 for key, value in nodes.items():
  lowerCamelCase__	:     int								=		value
 return cluster






def 			lowerCamelCase_    (		_lowerCamelCase							):
 return [i * 100 / len(UpperCAmelCase__							) for i in cluster]






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






def 			lowerCamelCase_    (		_lowerCamelCase     ,  _lowerCamelCase     ,  _lowerCamelCase     ,  _lowerCamelCase							):
 for i in cluster[ca]:
  lowerCamelCase__	:     Any								=		0
  lowerCamelCase__	:     Optional[int]								=		ca + 1
  while ca < max(cluster.keys()							):
   for j in cluster[ca]:
    if int(UpperCAmelCase__     ,  2							) & int(UpperCAmelCase__     ,  2							) == int(UpperCAmelCase__     ,  2							):
     if tuple(nodes[i]							) in graph:
      graph[tuple(nodes[i]							)].append(nodes[j]							)
     else:
      lowerCamelCase__	:     Tuple								=		[nodes[j]]
     count += 1
   if count == 0:
    lowerCamelCase__	:     List[Any]								=		ca + 1
   else:
    break






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






def 			lowerCamelCase_    (		_lowerCamelCase     ,  _lowerCamelCase     ,  _lowerCamelCase     ,  _lowerCamelCase=None							):
 lowerCamelCase__	:     int								=		(path or []) + [start]
 if start == end:
  paths.append(UpperCAmelCase__							)
 for node in graph[start]:
  if tuple(UpperCAmelCase__							) not in path:
   my_dfs(UpperCAmelCase__     ,  tuple(UpperCAmelCase__							)     ,  UpperCAmelCase__     ,  UpperCAmelCase__							)






def 			lowerCamelCase_    (		_lowerCamelCase     ,  _lowerCamelCase     ,  _lowerCamelCase							):
 lowerCamelCase__	:     List[Any]								=		int(s / 100 * (len(UpperCAmelCase__							) - 1)							)
 for i in cluster[k]:
  my_dfs(UpperCAmelCase__     ,  tuple(cluster[k][i]							)     ,  (['Header'],)							)






def 			lowerCamelCase_    (		_lowerCamelCase							):
 lowerCamelCase__	:     Any								=		[]
 for edges in paths:
  lowerCamelCase__	:     List[Any]								=		[]
  for j in range(len(UpperCAmelCase__							) - 1							):
   lowerCamelCase__	:     Optional[Any]								=		list(edges[j]							)
   for e in temp:
    lowerCamelCase__	:     int								=		(e[0], e[1])
    el.append(UpperCAmelCase__							)
  freq_sub_el.append(UpperCAmelCase__							)
 return freq_sub_el






def 			lowerCamelCase_    (		_lowerCamelCase							):
 for i in range(len(UpperCAmelCase__							)							):
  for j in range(len(edge_array[i]							)							):
   lowerCamelCase__	:     int								=		edge_array[i][j].split('-'							)
   lowerCamelCase__	:     str								=		t


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



'''simple docstring'''


import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
	import tensorflow as tf

	from transformers.activations_tf import get_tf_activation




@require_tf
class     __snake_case			(    unittest.TestCase	):




		def 	_snake_case	(  self					:Tuple)					->			List[Any]:






								'''simple docstring'''






								UpperCamelCase_     :	List[str]					     =     tf.constant([-1_0_0, -1.0, -0.1, 0, 0.1, 1.0, 100.0])
								UpperCamelCase_     :	Any					     =     get_tf_activation("""gelu""")
								UpperCamelCase_     :	List[Any]					     =     get_tf_activation("""gelu_10""")

								UpperCamelCase_     :	Optional[int]					     =     gelu(_SCREAMING_SNAKE_CASE)
								UpperCamelCase_     :	Dict					     =     geluaa(_SCREAMING_SNAKE_CASE)

								UpperCamelCase_     :	List[Any]					     =     tf.where(y_gelu_aa < 10.0			,    1.0			,    0.0)

								self.assertEqual(tf.math.reduce_max(_SCREAMING_SNAKE_CASE).numpy().item()			,    10.0)
								self.assertTrue(np.allclose(y_gelu * clipped_mask			,    y_gelu_aa * clipped_mask))





		def 	_snake_case	(  self					:Any)					->			Dict:






								'''simple docstring'''






								get_tf_activation("""gelu""")
								get_tf_activation("""gelu_10""")
								get_tf_activation("""gelu_fast""")
								get_tf_activation("""gelu_new""")
								get_tf_activation("""glu""")
								get_tf_activation("""mish""")
								get_tf_activation("""quick_gelu""")
								get_tf_activation("""relu""")
								get_tf_activation("""sigmoid""")
								get_tf_activation("""silu""")
								get_tf_activation("""swish""")
								get_tf_activation("""tanh""")
								with self.assertRaises(_SCREAMING_SNAKE_CASE):
														get_tf_activation("""bogus""")
								with self.assertRaises(_SCREAMING_SNAKE_CASE):
														get_tf_activation(_SCREAMING_SNAKE_CASE)




