


'''simple docstring'''





import os
import tempfile
from pathlib import Path
from unittest import TestCase

import pyarrow as pa
import pytest

from datasets.arrow_dataset import Dataset
from datasets.arrow_reader import ArrowReader, BaseReader, FileInstructions, ReadInstruction, make_file_instructions
from datasets.info import DatasetInfo
from datasets.splits import NamedSplit, Split, SplitDict, SplitInfo

from .utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases




class 							UpperCAmelCase ( _snake_case	):


 def 					__SCREAMING_SNAKE_CASE				(			self       :  Any ,					__lowerCamelCase       :  List[str] ,					__lowerCamelCase       :  int=False   ):
    UpperCAmelCase__      ,	UpperCAmelCase__      ,	UpperCAmelCase__  :Optional[Any]            =			(
        filename_skip_take['''filename'''],
        filename_skip_take['''skip'''] if '''skip''' in filename_skip_take else None,
        filename_skip_take['''take'''] if '''take''' in filename_skip_take else None,
    )
    open(os.path.join(__lowerCamelCase   ) ,					'''wb'''   ).close()
    UpperCAmelCase__  :List[str]            =			pa.Table.from_pydict({'''filename''': [Path(__lowerCamelCase   ).name] * 1_0_0}   )
    if take == -1:
       UpperCAmelCase__  :Tuple            =			len(__lowerCamelCase   ) - skip
    if skip is not None and take is not None:
       UpperCAmelCase__  :List[Any]            =			pa_table.slice(__lowerCamelCase ,					__lowerCamelCase   )
    return pa_table




class 							UpperCAmelCase ( _snake_case	):


 def 					__SCREAMING_SNAKE_CASE				(			self       :  Dict   ):
    UpperCAmelCase__  :Tuple            =			'''my_name'''
    UpperCAmelCase__  :Optional[int]            =			SplitInfo(name='''train''' ,					num_examples=1_0_0   )
    UpperCAmelCase__  :List[Any]            =			SplitInfo(name='''test''' ,					num_examples=1_0_0   )
    UpperCAmelCase__  :List[Any]            =			[train_info, test_info]
    UpperCAmelCase__  :Union[str, Any]            =			SplitDict()
    split_dict.add(__lowerCamelCase   )
    split_dict.add(__lowerCamelCase   )
    UpperCAmelCase__  :Optional[int]            =			DatasetInfo(splits=__lowerCamelCase   )

    with tempfile.TemporaryDirectory() as tmp_dir:
       UpperCAmelCase__  :List[str]            =			ReaderTest(__lowerCamelCase ,					__lowerCamelCase   )

       UpperCAmelCase__  :List[Any]            =			'''test[:33%]'''
       UpperCAmelCase__  :Optional[Any]            =			Dataset(**reader.read(__lowerCamelCase ,					__lowerCamelCase ,					__lowerCamelCase   )   )
       self.assertEqual(dset['''filename'''][0] ,					f'''{name}-test'''   )
       self.assertEqual(dset.num_rows ,					3_3   )
       self.assertEqual(dset.num_columns ,					1   )

       UpperCAmelCase__  :Tuple            =			['''train''', '''test[:33%]''']
       UpperCAmelCase__  :Optional[Any]            =			[Split.TRAIN, ReadInstruction.from_spec('''test[:33%]'''   )]
       for instructions in [instructionsa, instructionsa]:
          UpperCAmelCase__  :List[str]            =			[reader.read(__lowerCamelCase ,					__lowerCamelCase ,					__lowerCamelCase   ) for instr in instructions]
          UpperCAmelCase__      ,	UpperCAmelCase__  :Optional[Any]            =			(Dataset(**__lowerCamelCase   ) for dataset_kwargs in datasets_kwargs)
          self.assertEqual(train_dset['''filename'''][0] ,					f'''{name}-train'''   )
          self.assertEqual(train_dset.num_rows ,					1_0_0   )
          self.assertEqual(train_dset.num_columns ,					1   )
          self.assertIsInstance(train_dset.split ,					__lowerCamelCase   )
          self.assertEqual(str(train_dset.split   ) ,					'''train'''   )
          self.assertEqual(test_dset['''filename'''][0] ,					f'''{name}-test'''   )
          self.assertEqual(test_dset.num_rows ,					3_3   )
          self.assertEqual(test_dset.num_columns ,					1   )
          self.assertIsInstance(test_dset.split ,					__lowerCamelCase   )
          self.assertEqual(str(test_dset.split   ) ,					'''test[:33%]'''   )
          del train_dset, test_dset


 def 					__SCREAMING_SNAKE_CASE				(			self       :  Optional[Any]   ):
    UpperCAmelCase__  :Dict            =			'''my_name'''
    UpperCAmelCase__  :Tuple            =			SplitInfo(name='''train''' ,					num_examples=1_0_0_0 ,					shard_lengths=[1_0_0] * 1_0   )
    UpperCAmelCase__  :Union[str, Any]            =			[train_info]
    UpperCAmelCase__  :str            =			SplitDict()
    split_dict.add(__lowerCamelCase   )
    UpperCAmelCase__  :Dict            =			DatasetInfo(splits=__lowerCamelCase   )

    with tempfile.TemporaryDirectory() as tmp_dir:
       UpperCAmelCase__  :Dict            =			ReaderTest(__lowerCamelCase ,					__lowerCamelCase   )

       UpperCAmelCase__  :int            =			'''train[:33%]'''
       UpperCAmelCase__  :Tuple            =			Dataset(**reader.read(__lowerCamelCase ,					__lowerCamelCase ,					__lowerCamelCase   )   )
       self.assertEqual(dset['''filename'''][0] ,					f'''{name}-train-00000-of-00010'''   )
       self.assertEqual(dset['''filename'''][-1] ,					f'''{name}-train-00003-of-00010'''   )
       self.assertEqual(dset.num_rows ,					3_3_0   )
       self.assertEqual(dset.num_columns ,					1   )





 def 					__SCREAMING_SNAKE_CASE				(			self       :  List[Any]   ):
    UpperCAmelCase__  :Any            =			SplitInfo(name='''train''' ,					num_examples=1_0_0   )
    UpperCAmelCase__  :Optional[int]            =			SplitInfo(name='''test''' ,					num_examples=1_0_0   )
    UpperCAmelCase__  :List[Any]            =			SplitDict()
    split_dict.add(__lowerCamelCase   )
    split_dict.add(__lowerCamelCase   )
    UpperCAmelCase__  :List[Any]            =			DatasetInfo(splits=__lowerCamelCase   )

    with tempfile.TemporaryDirectory() as tmp_dir:
       UpperCAmelCase__  :Tuple            =			ReaderTest(__lowerCamelCase ,					__lowerCamelCase   )

       UpperCAmelCase__  :Dict            =			[
           {'''filename''': os.path.join(__lowerCamelCase ,					'''train'''   )},
           {'''filename''': os.path.join(__lowerCamelCase ,					'''test'''   ), '''skip''': 1_0, '''take''': 1_0},
       ]
       UpperCAmelCase__  :List[Any]            =			Dataset(**reader.read_files(__lowerCamelCase ,					original_instructions='''train+test[10:20]'''   )   )
       self.assertEqual(dset.num_rows ,					1_1_0   )
       self.assertEqual(dset.num_columns ,					1   )
       del dset


@pytest.mark.parametrize('''in_memory''',      [False, True]	)
def 					a__    (				UpperCamelCase_	:			Optional[int],      UpperCamelCase_	:			str,      UpperCamelCase_	:			Optional[Any]	):
   UpperCAmelCase__  :Optional[int]            =			arrow_file
   with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
      UpperCAmelCase__  :List[str]            =			ArrowReader.read_table(UpperCamelCase_,      in_memory=UpperCamelCase_	)
   assert table.shape == dataset.data.shape
   assert set(table.column_names	) == set(dataset.data.column_names	)
   assert dict(table.to_pydict()	) == dict(dataset.data.to_pydict()	)  # to_pydict returns OrderedDict


@pytest.mark.parametrize('''in_memory''',      [False, True]	)
def 					a__    (				UpperCamelCase_	:			List[Any],      UpperCamelCase_	:			Union[str, Any],      UpperCamelCase_	:			Optional[int]	):
   UpperCAmelCase__  :Dict            =			arrow_file
   UpperCAmelCase__  :List[Any]            =			ArrowReader('''''',      UpperCamelCase_	)
   with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
      UpperCAmelCase__  :Optional[Any]            =			reader.read_files([{'''filename''': filename}],      in_memory=UpperCamelCase_	)
   assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
   UpperCAmelCase__  :Tuple            =			dataset_kwargs['''arrow_table''']
   assert table.shape == dataset.data.shape
   assert set(table.column_names	) == set(dataset.data.column_names	)
   assert dict(table.to_pydict()	) == dict(dataset.data.to_pydict()	)  # to_pydict returns OrderedDict


def 					a__    (				):
   assert ReadInstruction('''train''',      to=10,      unit='''abs'''	).to_spec() == "train[:10]"
   assert ReadInstruction('''train''',      from_=-80,      to=10,      unit='''%'''	).to_spec() == "train[-80%:10%]"

   UpperCAmelCase__  :Any            =			'''train+test'''
   assert ReadInstruction.from_spec(UpperCamelCase_	).to_spec() == spec_train_test

   UpperCAmelCase__  :Dict            =			'''train[2:10]'''
   assert ReadInstruction.from_spec(UpperCamelCase_	).to_spec() == spec_train_abs

   UpperCAmelCase__  :Any            =			'''train[15%:-20%]'''
   assert ReadInstruction.from_spec(UpperCamelCase_	).to_spec() == spec_train_pct

   UpperCAmelCase__  :Optional[int]            =			'''train[:10%](closest)'''
   assert ReadInstruction.from_spec(UpperCamelCase_	).to_spec() == "train[:10%]"

   UpperCAmelCase__  :Dict            =			'''train[:10%](pct1_dropremainder)'''
   assert ReadInstruction.from_spec(UpperCamelCase_	).to_spec() == spec_train_pct_rounding

   UpperCAmelCase__  :List[str]            =			'''train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'''
   assert ReadInstruction.from_spec(UpperCamelCase_	).to_spec() == spec_train_test_pct_rounding


def 					a__    (				):
   UpperCAmelCase__  :Optional[Any]            =			'''dummy'''
   UpperCAmelCase__  :str            =			[SplitInfo(name='''train''',      num_examples=100	)]
   UpperCAmelCase__  :Tuple            =			'''train[:33%]'''
   UpperCAmelCase__  :Union[str, Any]            =			'''arrow'''
   UpperCAmelCase__  :str            =			'''prefix'''

   UpperCAmelCase__  :Optional[Any]            =			make_file_instructions(UpperCamelCase_,      UpperCamelCase_,      UpperCamelCase_,      UpperCamelCase_,      UpperCamelCase_	)
   assert isinstance(UpperCamelCase_,      UpperCamelCase_	)
   assert file_instructions.num_examples == 33
   assert file_instructions.file_instructions == [
       {"filename": os.path.join(UpperCamelCase_,      F'''{name}-train.arrow'''	), "skip": 0, "take": 33}
   ]

   UpperCAmelCase__  :Tuple            =			[SplitInfo(name='''train''',      num_examples=100,      shard_lengths=[10] * 10	)]
   UpperCAmelCase__  :Optional[Any]            =			make_file_instructions(UpperCamelCase_,      UpperCamelCase_,      UpperCamelCase_,      UpperCamelCase_,      UpperCamelCase_	)
   assert isinstance(UpperCamelCase_,      UpperCamelCase_	)
   assert file_instructions.num_examples == 33
   assert file_instructions.file_instructions == [
       {"filename": os.path.join(UpperCamelCase_,      F'''{name}-train-00000-of-00010.arrow'''	), "skip": 0, "take": -1},
       {"filename": os.path.join(UpperCamelCase_,      F'''{name}-train-00001-of-00010.arrow'''	), "skip": 0, "take": -1},
       {"filename": os.path.join(UpperCamelCase_,      F'''{name}-train-00002-of-00010.arrow'''	), "skip": 0, "take": -1},
       {"filename": os.path.join(UpperCamelCase_,      F'''{name}-train-00003-of-00010.arrow'''	), "skip": 0, "take": 3},
   ]


@pytest.mark.parametrize('''name, expected_exception''',      [(None, TypeError), ('''''', ValueError)]	)
def 					a__    (				UpperCamelCase_	:			Optional[Any],      UpperCamelCase_	:			Any	):
   UpperCAmelCase__  :Optional[int]            =			[SplitInfo(name='''train''',      num_examples=100	)]
   UpperCAmelCase__  :Any            =			'''train'''
   UpperCAmelCase__  :Union[str, Any]            =			'''arrow'''
   UpperCAmelCase__  :Optional[Any]            =			'''prefix_path'''
   with pytest.raises(UpperCamelCase_	):
      UpperCAmelCase__  :int            =			make_file_instructions(UpperCamelCase_,      UpperCamelCase_,      UpperCamelCase_,      UpperCamelCase_,      UpperCamelCase_	)







'''simple docstring'''





__lowerCamelCase       				=	[
    ['''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 					a__    (				UpperCamelCase_	:			List[str]	):
   UpperCAmelCase__  :str            =			set()
   for row in edge_array:
      for item in row:
         distinct_edge.add(item[0]	)
   return list(UpperCamelCase_	)


def 					a__    (				UpperCamelCase_	:			Tuple,      UpperCamelCase_	:			List[Any]	):
   UpperCAmelCase__  :int            =			['''0'''] * len(UpperCamelCase_	)
   for i, row in enumerate(UpperCamelCase_	):
      for item in row:
         if distinct_edge in item[0]:
            UpperCAmelCase__  :List[Any]            =			'''1'''
            break
   return "".join(UpperCamelCase_	)


def 					a__    (				UpperCamelCase_	:			Optional[int]	):
   UpperCAmelCase__  :Any            =			get_distinct_edge(UpperCamelCase_	)
   UpperCAmelCase__  :Dict            =			{}

   for item in distinct_edge:
      UpperCAmelCase__  :List[str]            =			get_bitcode(UpperCamelCase_,      UpperCamelCase_	)
      # print('bit',bit)
      # bt=''.join(bit)
      UpperCAmelCase__  :int            =			bit.count('''1'''	)
      UpperCAmelCase__  :Tuple            =			[s, bit]
   # Store [Distinct edge, WT(Bitcode), Bitcode] in descending order
   UpperCAmelCase__  :str            =			[
       [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 					a__    (				UpperCamelCase_	:			Optional[int]	):
   UpperCAmelCase__  :int            =			{}
   for _, item in enumerate(UpperCamelCase_	):
      nodes.setdefault(item[2],      []	).append(item[0]	)
   return nodes


def 					a__    (				UpperCamelCase_	:			Any	):
   UpperCAmelCase__  :Any            =			{}
   for key, value in nodes.items():
      UpperCAmelCase__  :Optional[int]            =			value
   return cluster


def 					a__    (				UpperCamelCase_	:			Tuple	):
   return [i * 100 / len(UpperCamelCase_	) for i in cluster]


def 					a__    (				):
   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 					a__    (				UpperCamelCase_	:			Optional[int],      UpperCamelCase_	:			Any,      UpperCamelCase_	:			int,      UpperCamelCase_	:			Dict	):
   for i in cluster[ca]:
      UpperCAmelCase__  :int            =			0
      UpperCAmelCase__  :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:
                  UpperCAmelCase__  :int            =			[nodes[j]]
               count += 1
         if count == 0:
            UpperCAmelCase__  :List[Any]            =			ca + 1
         else:
            break


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


def 					a__    (				UpperCamelCase_	:			Optional[Any],      UpperCamelCase_	:			int,      UpperCamelCase_	:			Any,      UpperCamelCase_	:			Dict=None	):
   UpperCAmelCase__  :Tuple            =			(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 					a__    (				UpperCamelCase_	:			Dict,      UpperCamelCase_	:			int,      UpperCamelCase_	:			List[Any]	):
   UpperCAmelCase__  :List[str]            =			int(s / 100 * (len(UpperCamelCase_	) - 1)	)
   for i in cluster[k]:
      my_dfs(UpperCamelCase_,      tuple(cluster[k][i]	),      (['''Header'''],)	)


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


def 					a__    (				UpperCamelCase_	:			Dict	):
   for i in range(len(UpperCamelCase_	)	):
      for j in range(len(edge_array[i]	)	):
         UpperCAmelCase__  :Dict            =			edge_array[i][j].split('''-'''	)
         UpperCAmelCase__  :Optional[Any]            =			t


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



