code: 
  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    _snake_case      (  snake_case       ):
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self		,     _a		,     _a=False	):
  				__magic_name__     ,					__magic_name__     ,					__magic_name__	:	List[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(_a	)		,     "wb"	).close()
  				__magic_name__	:	str			     =  pa.Table.from_pydict({"filename": [Path(_a	).name] * 100}	)
  				if take == -1:
  					__magic_name__	:	Dict			     =  len(_a	) - skip
  				if skip is not None and take is not None:
  					__magic_name__	:	List[Any]			     =  pa_table.slice(_a		,     _a	)
  				return pa_table
  
  
  
  
  
  
  
  class    _snake_case      (  snake_case       ):
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	str			     =  "my_name"
  				__magic_name__	:	List[str]			     =  SplitInfo(name="train"		,     num_examples=100	)
  				__magic_name__	:	Dict			     =  SplitInfo(name="test"		,     num_examples=100	)
  				__magic_name__	:	str			     =  [train_info, test_info]
  				__magic_name__	:	int			     =  SplitDict()
  				split_dict.add(_a	)
  				split_dict.add(_a	)
  				__magic_name__	:	Any			     =  DatasetInfo(splits=_a	)
  
  				with tempfile.TemporaryDirectory() as tmp_dir:
  					__magic_name__	:	str			     =  ReaderTest(_a		,     _a	)
  
  					__magic_name__	:	Dict			     =  "test[:33%]"
  					__magic_name__	:	int			     =  Dataset(**reader.read(_a		,     _a		,     _a	)	)
  					self.assertEqual(dset["filename"][0]		,     f'''{name}-test'''	)
  					self.assertEqual(dset.num_rows		,     33	)
  					self.assertEqual(dset.num_columns		,     1	)
  
  					__magic_name__	:	Any			     =  ["train", "test[:33%]"]
  					__magic_name__	:	Dict			     =  [Split.TRAIN, ReadInstruction.from_spec("test[:33%]"	)]
  					for instructions in [instructionsa, instructionsa]:
  						__magic_name__	:	Tuple			     =  [reader.read(_a		,     _a		,     _a	) for instr in instructions]
  						__magic_name__     ,					__magic_name__	:	Optional[int]			     =  (Dataset(**_a	) for dataset_kwargs in datasets_kwargs)
  						self.assertEqual(train_dset["filename"][0]		,     f'''{name}-train'''	)
  						self.assertEqual(train_dset.num_rows		,     100	)
  						self.assertEqual(train_dset.num_columns		,     1	)
  						self.assertIsInstance(train_dset.split		,     _a	)
  						self.assertEqual(str(train_dset.split	)		,     "train"	)
  						self.assertEqual(test_dset["filename"][0]		,     f'''{name}-test'''	)
  						self.assertEqual(test_dset.num_rows		,     33	)
  						self.assertEqual(test_dset.num_columns		,     1	)
  						self.assertIsInstance(test_dset.split		,     _a	)
  						self.assertEqual(str(test_dset.split	)		,     "test[:33%]"	)
  						del train_dset, test_dset
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	List[Any]			     =  "my_name"
  				__magic_name__	:	Dict			     =  SplitInfo(name="train"		,     num_examples=1_000		,     shard_lengths=[100] * 10	)
  				__magic_name__	:	str			     =  [train_info]
  				__magic_name__	:	List[str]			     =  SplitDict()
  				split_dict.add(_a	)
  				__magic_name__	:	str			     =  DatasetInfo(splits=_a	)
  
  				with tempfile.TemporaryDirectory() as tmp_dir:
  					__magic_name__	:	Union[str, Any]			     =  ReaderTest(_a		,     _a	)
  
  					__magic_name__	:	Any			     =  "train[:33%]"
  					__magic_name__	:	str			     =  Dataset(**reader.read(_a		,     _a		,     _a	)	)
  					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		,     330	)
  					self.assertEqual(dset.num_columns		,     1	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Optional[Any]			     =  SplitInfo(name="train"		,     num_examples=100	)
  				__magic_name__	:	Union[str, Any]			     =  SplitInfo(name="test"		,     num_examples=100	)
  				__magic_name__	:	List[str]			     =  SplitDict()
  				split_dict.add(_a	)
  				split_dict.add(_a	)
  				__magic_name__	:	Optional[Any]			     =  DatasetInfo(splits=_a	)
  
  				with tempfile.TemporaryDirectory() as tmp_dir:
  					__magic_name__	:	Any			     =  ReaderTest(_a		,     _a	)
  
  					__magic_name__	:	Optional[int]			     =  [
  					    {"filename": os.path.join(_a		,     "train"	)},
  					    {"filename": os.path.join(_a		,     "test"	), "skip": 10, "take": 10},
  					]
  					__magic_name__	:	Optional[int]			     =  Dataset(**reader.read_files(_a		,     original_instructions="train+test[10:20]"	)	)
  					self.assertEqual(dset.num_rows		,     110	)
  					self.assertEqual(dset.num_columns		,     1	)
  					del dset
  
  
  
  
  
  
  
  @pytest.mark.parametrize("in_memory"   ,     [False, True]     )
  def 						lowerCAmelCase_		(      _snake_case   :						Tuple   ,     _snake_case   :						Tuple   ,     _snake_case   :						Tuple     )       ->	List[str]:
  
  
  
  
  
  
  
  	'''simple docstring'''
  
  
  	__magic_name__	:	Dict			     =  arrow_file
  	with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  		__magic_name__	:	int			     =  ArrowReader.read_table(_snake_case   ,     in_memory=_snake_case     )
  	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 						lowerCAmelCase_		(      _snake_case   :						Tuple   ,     _snake_case   :						List[str]   ,     _snake_case   :						Dict     )       ->	Union[str, Any]:
  
  
  
  
  
  
  
  	'''simple docstring'''
  
  
  	__magic_name__	:	Dict			     =  arrow_file
  	__magic_name__	:	Tuple			     =  ArrowReader(""   ,     _snake_case     )
  	with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  		__magic_name__	:	Optional[int]			     =  reader.read_files([{"filename": filename}]   ,     in_memory=_snake_case     )
  	assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
  	__magic_name__	:	List[str]			     =  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 						lowerCAmelCase_		(      )       ->	Optional[Any]:
  
  
  
  
  
  
  
  	'''simple docstring'''
  
  
  	assert ReadInstruction("train"   ,     to=10   ,     unit="abs"     ).to_spec() == "train[:10]"
  	assert ReadInstruction("train"   ,     from_=-80   ,     to=10   ,     unit="%"     ).to_spec() == "train[-80%:10%]"
  
  	__magic_name__	:	Optional[Any]			     =  "train+test"
  	assert ReadInstruction.from_spec(_snake_case     ).to_spec() == spec_train_test
  
  	__magic_name__	:	Tuple			     =  "train[2:10]"
  	assert ReadInstruction.from_spec(_snake_case     ).to_spec() == spec_train_abs
  
  	__magic_name__	:	Optional[int]			     =  "train[15%:-20%]"
  	assert ReadInstruction.from_spec(_snake_case     ).to_spec() == spec_train_pct
  
  	__magic_name__	:	List[Any]			     =  "train[:10%](closest)"
  	assert ReadInstruction.from_spec(_snake_case     ).to_spec() == "train[:10%]"
  
  	__magic_name__	:	Dict			     =  "train[:10%](pct1_dropremainder)"
  	assert ReadInstruction.from_spec(_snake_case     ).to_spec() == spec_train_pct_rounding
  
  	__magic_name__	:	int			     =  "train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)"
  	assert ReadInstruction.from_spec(_snake_case     ).to_spec() == spec_train_test_pct_rounding
  
  
  
  
  
  
  def 						lowerCAmelCase_		(      )       ->	int:
  
  
  
  
  
  
  
  	'''simple docstring'''
  
  
  	__magic_name__	:	List[Any]			     =  "dummy"
  	__magic_name__	:	List[Any]			     =  [SplitInfo(name="train"   ,     num_examples=100     )]
  	__magic_name__	:	int			     =  "train[:33%]"
  	__magic_name__	:	int			     =  "arrow"
  	__magic_name__	:	Optional[int]			     =  "prefix"
  
  	__magic_name__	:	List[str]			     =  make_file_instructions(_snake_case   ,     _snake_case   ,     _snake_case   ,     _snake_case   ,     _snake_case     )
  	assert isinstance(_snake_case   ,     _snake_case     )
  	assert file_instructions.num_examples == 33
  	assert file_instructions.file_instructions == [
  	    {"filename": os.path.join(_snake_case   ,     F'''{name}-train.arrow'''     ), "skip": 0, "take": 33}
  	]
  
  	__magic_name__	:	List[Any]			     =  [SplitInfo(name="train"   ,     num_examples=100   ,     shard_lengths=[10] * 10     )]
  	__magic_name__	:	Optional[int]			     =  make_file_instructions(_snake_case   ,     _snake_case   ,     _snake_case   ,     _snake_case   ,     _snake_case     )
  	assert isinstance(_snake_case   ,     _snake_case     )
  	assert file_instructions.num_examples == 33
  	assert file_instructions.file_instructions == [
  	    {"filename": os.path.join(_snake_case   ,     F'''{name}-train-00000-of-00010.arrow'''     ), "skip": 0, "take": -1},
  	    {"filename": os.path.join(_snake_case   ,     F'''{name}-train-00001-of-00010.arrow'''     ), "skip": 0, "take": -1},
  	    {"filename": os.path.join(_snake_case   ,     F'''{name}-train-00002-of-00010.arrow'''     ), "skip": 0, "take": -1},
  	    {"filename": os.path.join(_snake_case   ,     F'''{name}-train-00003-of-00010.arrow'''     ), "skip": 0, "take": 3},
  	]
  
  
  
  
  
  
  @pytest.mark.parametrize("name, expected_exception"   ,     [(None, TypeError), ("", ValueError)]     )
  def 						lowerCAmelCase_		(      _snake_case   :						Union[str, Any]   ,     _snake_case   :						Tuple     )       ->	int:
  
  
  
  
  
  
  
  	'''simple docstring'''
  
  
  	__magic_name__	:	Optional[Any]			     =  [SplitInfo(name="train"   ,     num_examples=100     )]
  	__magic_name__	:	int			     =  "train"
  	__magic_name__	:	str			     =  "arrow"
  	__magic_name__	:	Any			     =  "prefix_path"
  	with pytest.raises(_snake_case     ):
  		__magic_name__	:	List[Any]			     =  make_file_instructions(_snake_case   ,     _snake_case   ,     _snake_case   ,     _snake_case   ,     _snake_case     )
  
style_context: 
  def 						lowerCAmelCase_		(      _snake_case   :						int   ,     _snake_case   :						list[tuple[int, int, int]]     )       ->	list[tuple[int, int, int]]:
  
  
  
  
  
  
  
  	'''simple docstring'''
  
  
  	__magic_name__	:	Union[str, Any]			     =  sorted(_snake_case   ,     key=lambda _snake_case     : edge[2]     )
  
  	__magic_name__	:	Union[str, Any]			     =  list(range(_snake_case     )     )
  
  	def find_parent(_snake_case   :						Dict     ):
  		if i != parent[i]:
  			__magic_name__	:	Any			     =  find_parent(parent[i]     )
  		return parent[i]
  
  	__magic_name__	:	List[str]			     =  0
  	__magic_name__	:	int			     =  []
  
  	for edge in edges:
  		__magic_name__	:	Any			     =  find_parent(edge[0]     )
  		__magic_name__	:	int			     =  find_parent(edge[1]     )
  		if parent_a != parent_b:
  			minimum_spanning_tree_cost += edge[2]
  			minimum_spanning_tree.append(_snake_case     )
  			__magic_name__	:	Optional[int]			     =  parent_b
  
  	return minimum_spanning_tree
  
  
  if __name__ == "__main__":  # pragma: no cover
  				snake_case   ,snake_case				:	int							   =						list(map(int, input().strip().split()))
  				snake_case				:	int							   =						[]
  
  				for _ in range(num_edges):
  								snake_case   ,snake_case   ,snake_case				:	Dict							   =						(int(x) for x in input().strip().split())
  								edges.append((nodea, nodea, cost))
  
  				kruskal(num_nodes, edges)
  