






"""simple docstring"""




_snake_case					   =     [
    ['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__  (  UpperCamelCase__       ):



		'''simple docstring'''
		_a						: Union[str, Any]    =			set()
		for row in edge_array:
				for item in row:
						distinct_edge.add(item[0]       )
		return list(UpperCamelCase__       )

def     lowerCAmelCase__  (  UpperCamelCase__  ,     UpperCamelCase__       ):



		'''simple docstring'''
		_a						: List[str]    =			["""0"""] * len(UpperCamelCase__       )
		for i, row in enumerate(UpperCamelCase__       ):
				for item in row:
						if distinct_edge in item[0]:
								_a						: Optional[Any]    =			"""1"""
								break
		return "".join(UpperCamelCase__       )

def     lowerCAmelCase__  (  UpperCamelCase__       ):



		'''simple docstring'''
		_a						: Optional[Any]    =			get_distinct_edge(UpperCamelCase__       )
		_a						: str    =			{}

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

def     lowerCAmelCase__  (  UpperCamelCase__       ):



		'''simple docstring'''
		_a						: Dict    =			{}
		for _, item in enumerate(UpperCamelCase__       ):
				nodes.setdefault(item[2]  ,     []       ).append(item[0]       )
		return nodes

def     lowerCAmelCase__  (  UpperCamelCase__       ):



		'''simple docstring'''
		_a						: Any    =			{}
		for key, value in nodes.items():
				_a						: int    =			value
		return cluster

def     lowerCAmelCase__  (  UpperCamelCase__       ):



		'''simple docstring'''
		return [i * 1_0_0 / len(UpperCamelCase__       ) for i in cluster]

def     lowerCAmelCase__  (  ):



		'''simple docstring'''
		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__  (  UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__       ):



		'''simple docstring'''
		for i in cluster[ca]:
				_a						: Tuple    =			0
				_a						: 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:
												_a						: Dict    =			[nodes[j]]
										count += 1
						if count == 0:
								_a						: List[str]    =			ca + 1
						else:
								break

def     lowerCAmelCase__  (  UpperCamelCase__  ,     UpperCamelCase__       ):



		'''simple docstring'''
		_a						: Tuple    =			cluster[max(cluster.keys()       )]
		_a						: Any    =			"""Header"""
		_a						: Union[str, Any]    =			{}
		for i in x:
				if (["Header"],) in graph:
						graph[(["Header"],)].append(x[i]       )
				else:
						_a						: Dict    =			[x[i]]
		for i in x:
				_a						: List[Any]    =			[["""Header"""]]
		_a						: Any    =			1
		while i < max(UpperCamelCase__       ) - 1:
				create_edge(UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__       )
				_a						: Any    =			i + 1
		return graph

def     lowerCAmelCase__  (  UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__=None       ):



		'''simple docstring'''
		_a						: Optional[Any]    =			(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__  (  UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__       ):



		'''simple docstring'''
		_a						: Any    =			int(s / 1_0_0 * (len(UpperCamelCase__       ) - 1)       )
		for i in cluster[k]:
				my_dfs(UpperCamelCase__  ,     tuple(cluster[k][i]       )  ,     (["""Header"""],)       )

def     lowerCAmelCase__  (  UpperCamelCase__       ):



		'''simple docstring'''
		_a						: Optional[Any]    =			[]
		for edges in paths:
				_a						: List[Any]    =			[]
				for j in range(len(UpperCamelCase__       ) - 1       ):
						_a						: int    =			list(edges[j]       )
						for e in temp:
								_a						: Optional[int]    =			(e[0], e[1])
								el.append(UpperCamelCase__       )
				freq_sub_el.append(UpperCamelCase__       )
		return freq_sub_el

def     lowerCAmelCase__  (  UpperCamelCase__       ):



		'''simple docstring'''
		for i in range(len(UpperCamelCase__       )       ):
				for j in range(len(edge_array[i]       )       ):
						_a						: Tuple    =			edge_array[i][j].split("""-"""       )
						_a						: Optional[int]    =			t


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









"""simple docstring"""




import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin






class  UpperCamelCase    (			snake_case_	,  unittest.TestCase   ):
 UpperCamelCase      : Union[str, Any]    =      BertweetTokenizer
 UpperCamelCase      : Optional[Any]    =      False


 def _lowercase			(  self	:		Dict							)      -> List[Any]:
   super().setUp()

   # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
   _a						: Tuple    =			["""I""", """m""", """V@@""", """R@@""", """r""", """e@@"""]
   _a						: str    =			dict(zip(UpperCAmelCase__							,		range(len(UpperCAmelCase__							)							)							)							)
   _a						: Dict    =			["""#version: 0.2""", """a m</w>"""]
   _a						: int    =			{"""unk_token""": """<unk>"""}

   _a						: Union[str, Any]    =			os.path.join(self.tmpdirname							,		VOCAB_FILES_NAMES["""vocab_file"""]							)
   _a						: List[Any]    =			os.path.join(self.tmpdirname							,		VOCAB_FILES_NAMES["""merges_file"""]							)
   with open(self.vocab_file							,		"""w"""							,		encoding="""utf-8"""							) as fp:
     for token in vocab_tokens:
       fp.write(f"""{token} {vocab_tokens[token]}\n"""							)
   with open(self.merges_file							,		"""w"""							,		encoding="""utf-8"""							) as fp:
     fp.write("""\n""".join(UpperCAmelCase__							)							)


 def _lowercase			(  self	:		Any							,		**UpperCAmelCase__	:		Optional[Any]							)      -> Dict:
   kwargs.update(self.special_tokens_map							)
   return BertweetTokenizer.from_pretrained(self.tmpdirname							,		**UpperCAmelCase__							)


 def _lowercase			(  self	:		Dict							,		UpperCAmelCase__	:		Optional[int]							)      -> Dict:
   _a						: List[str]    =			"""I am VinAI Research"""
   _a						: Optional[int]    =			"""I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
   return input_text, output_text







 def _lowercase			(  self	:		Tuple							)      -> Optional[int]:
   _a						: Optional[int]    =			BertweetTokenizer(self.vocab_file							,		self.merges_file							,		**self.special_tokens_map							)
   _a						: Tuple    =			"""I am VinAI Research"""
   _a						: Dict    =			"""I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
   _a						: str    =			tokenizer.tokenize(UpperCAmelCase__							)
   self.assertListEqual(UpperCAmelCase__							,		UpperCAmelCase__							)

   _a						: Tuple    =			tokens + [tokenizer.unk_token]

   _a						: Tuple    =			[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__							)							,		UpperCAmelCase__							)

