




'''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_  (a__  ):







						"""simple docstring"""


						def    _a     (  self   :							Dict				,			_lowerCamelCase   :							Optional[int]				,			_lowerCamelCase   :							Union[str, Any]=False     ):





											"""simple docstring"""







											A_			,A_			,A_			:  Dict			=				(
											    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()
											A_			:  List[str]			=				pa.Table.from_pydict({'''filename''': [Path(_lowerCamelCase     ).name] * 100}     )
											if take == -1:
																A_			:  Any			=				len(_lowerCamelCase     ) - skip
											if skip is not None and take is not None:
																A_			:  List[str]			=				pa_table.slice(_lowerCamelCase				,			_lowerCamelCase     )
											return pa_table






class      UpperCamelCase_  (a__  ):







						"""simple docstring"""


						def    _a     (  self   :							Dict     ):





											"""simple docstring"""







											A_			:  Any			=				'''my_name'''
											A_			:  List[Any]			=				SplitInfo(name='''train'''				,			num_examples=100     )
											A_			:  List[Any]			=				SplitInfo(name='''test'''				,			num_examples=100     )
											A_			:  Dict			=				[train_info, test_info]
											A_			:  Any			=				SplitDict()
											split_dict.add(_lowerCamelCase     )
											split_dict.add(_lowerCamelCase     )
											A_			:  Tuple			=				DatasetInfo(splits=_lowerCamelCase     )

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

																A_			:  List[str]			=				'''test[:33%]'''
																A_			:  Tuple			=				Dataset(**reader.read(_lowerCamelCase				,			_lowerCamelCase				,			_lowerCamelCase     )     )
																self.assertEqual(dset['''filename'''][0]				,			f'{name}-test'     )
																self.assertEqual(dset.num_rows				,			33     )
																self.assertEqual(dset.num_columns				,			1     )

																A_			:  Optional[int]			=				['''train''', '''test[:33%]''']
																A_			:  Any			=				[Split.TRAIN, ReadInstruction.from_spec('''test[:33%]'''     )]
																for instructions in [instructionsa, instructionsa]:
																					A_			:  List[Any]			=				[reader.read(_lowerCamelCase				,			_lowerCamelCase				,			_lowerCamelCase     ) for instr in instructions]
																					A_			,A_			:  Tuple			=				(Dataset(**_lowerCamelCase     ) 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				,			_lowerCamelCase     )
																					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				,			_lowerCamelCase     )
																					self.assertEqual(str(test_dset.split     )				,			'''test[:33%]'''     )
																					del train_dset, test_dset







						def    _a     (  self   :							int     ):





											"""simple docstring"""







											A_			:  str			=				'''my_name'''
											A_			:  int			=				SplitInfo(name='''train'''				,			num_examples=1000				,			shard_lengths=[100] * 10     )
											A_			:  Dict			=				[train_info]
											A_			:  List[str]			=				SplitDict()
											split_dict.add(_lowerCamelCase     )
											A_			:  Any			=				DatasetInfo(splits=_lowerCamelCase     )

											with tempfile.TemporaryDirectory() as tmp_dir:
																A_			:  Tuple			=				ReaderTest(_lowerCamelCase				,			_lowerCamelCase     )

																A_			:  Union[str, Any]			=				'''train[:33%]'''
																A_			:  Union[str, Any]			=				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				,			330     )
																self.assertEqual(dset.num_columns				,			1     )







						def    _a     (  self   :							List[Any]     ):





											"""simple docstring"""







											A_			:  int			=				SplitInfo(name='''train'''				,			num_examples=100     )
											A_			:  Optional[int]			=				SplitInfo(name='''test'''				,			num_examples=100     )
											A_			:  Optional[int]			=				SplitDict()
											split_dict.add(_lowerCamelCase     )
											split_dict.add(_lowerCamelCase     )
											A_			:  Any			=				DatasetInfo(splits=_lowerCamelCase     )

											with tempfile.TemporaryDirectory() as tmp_dir:
																A_			:  int			=				ReaderTest(_lowerCamelCase				,			_lowerCamelCase     )

																A_			:  Optional[Any]			=				[
																    {'''filename''': os.path.join(_lowerCamelCase				,			'''train'''     )},
																    {'''filename''': os.path.join(_lowerCamelCase				,			'''test'''     ), '''skip''': 10, '''take''': 10},
																]
																A_			:  List[Any]			=				Dataset(**reader.read_files(_lowerCamelCase				,			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     snake_case__     (			lowerCamelCase__					: Any      ,		lowerCamelCase__					: Union[str, Any]      ,		lowerCamelCase__					: List[str]      ) -> Union[str, Any]:
					A_			:  int			=				arrow_file
					with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
										A_			:  Dict			=				ArrowReader.read_table(lowerCamelCase__      ,		in_memory=lowerCamelCase__      )
					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     snake_case__     (			lowerCamelCase__					: Union[str, Any]      ,		lowerCamelCase__					: List[Any]      ,		lowerCamelCase__					: Optional[Any]      ) -> Optional[int]:
					A_			:  int			=				arrow_file
					A_			:  Tuple			=				ArrowReader(''''''      ,		lowerCamelCase__      )
					with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
										A_			:  Any			=				reader.read_files([{'''filename''': filename}]      ,		in_memory=lowerCamelCase__      )
					assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
					A_			:  Optional[Any]			=				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     snake_case__     (			) -> Dict:
					assert ReadInstruction('''train'''      ,		to=1_0      ,		unit='''abs'''      ).to_spec() == "train[:10]"
					assert ReadInstruction('''train'''      ,		from_=-8_0      ,		to=1_0      ,		unit='''%'''      ).to_spec() == "train[-80%:10%]"

					A_			:  Any			=				'''train+test'''
					assert ReadInstruction.from_spec(lowerCamelCase__      ).to_spec() == spec_train_test

					A_			:  Tuple			=				'''train[2:10]'''
					assert ReadInstruction.from_spec(lowerCamelCase__      ).to_spec() == spec_train_abs

					A_			:  Optional[int]			=				'''train[15%:-20%]'''
					assert ReadInstruction.from_spec(lowerCamelCase__      ).to_spec() == spec_train_pct

					A_			:  List[Any]			=				'''train[:10%](closest)'''
					assert ReadInstruction.from_spec(lowerCamelCase__      ).to_spec() == "train[:10%]"

					A_			:  int			=				'''train[:10%](pct1_dropremainder)'''
					assert ReadInstruction.from_spec(lowerCamelCase__      ).to_spec() == spec_train_pct_rounding

					A_			:  Tuple			=				'''train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'''
					assert ReadInstruction.from_spec(lowerCamelCase__      ).to_spec() == spec_train_test_pct_rounding




def     snake_case__     (			) -> List[str]:
					A_			:  Optional[Any]			=				'''dummy'''
					A_			:  List[str]			=				[SplitInfo(name='''train'''      ,		num_examples=1_0_0      )]
					A_			:  Union[str, Any]			=				'''train[:33%]'''
					A_			:  str			=				'''arrow'''
					A_			:  int			=				'''prefix'''

					A_			:  int			=				make_file_instructions(lowerCamelCase__      ,		lowerCamelCase__      ,		lowerCamelCase__      ,		lowerCamelCase__      ,		lowerCamelCase__      )
					assert isinstance(lowerCamelCase__      ,		lowerCamelCase__      )
					assert file_instructions.num_examples == 3_3
					assert file_instructions.file_instructions == [
					    {"filename": os.path.join(lowerCamelCase__      ,		f'{name}-train.arrow'      ), "skip": 0, "take": 3_3}
					]

					A_			:  Tuple			=				[SplitInfo(name='''train'''      ,		num_examples=1_0_0      ,		shard_lengths=[1_0] * 1_0      )]
					A_			:  Optional[int]			=				make_file_instructions(lowerCamelCase__      ,		lowerCamelCase__      ,		lowerCamelCase__      ,		lowerCamelCase__      ,		lowerCamelCase__      )
					assert isinstance(lowerCamelCase__      ,		lowerCamelCase__      )
					assert file_instructions.num_examples == 3_3
					assert file_instructions.file_instructions == [
					    {"filename": os.path.join(lowerCamelCase__      ,		f'{name}-train-00000-of-00010.arrow'      ), "skip": 0, "take": -1},
					    {"filename": os.path.join(lowerCamelCase__      ,		f'{name}-train-00001-of-00010.arrow'      ), "skip": 0, "take": -1},
					    {"filename": os.path.join(lowerCamelCase__      ,		f'{name}-train-00002-of-00010.arrow'      ), "skip": 0, "take": -1},
					    {"filename": os.path.join(lowerCamelCase__      ,		f'{name}-train-00003-of-00010.arrow'      ), "skip": 0, "take": 3},
					]





@pytest.mark.parametrize('''name, expected_exception'''      ,		[(None, TypeError), ('''''', ValueError)]      )
def     snake_case__     (			lowerCamelCase__					: Optional[int]      ,		lowerCamelCase__					: Dict      ) -> Tuple:
					A_			:  Optional[Any]			=				[SplitInfo(name='''train'''      ,		num_examples=1_0_0      )]
					A_			:  int			=				'''train'''
					A_			:  List[Any]			=				'''arrow'''
					A_			:  Union[str, Any]			=				'''prefix_path'''
					with pytest.raises(lowerCamelCase__      ):
										A_			:  Optional[Any]			=				make_file_instructions(lowerCamelCase__      ,		lowerCamelCase__      ,		lowerCamelCase__      ,		lowerCamelCase__      ,		lowerCamelCase__      )









'''simple docstring'''




import os




def     snake_case__     (			) -> int:
					A_			:  List[str]			=				os.path.dirname(os.path.realpath(lowerCamelCase__      )      )
					A_			:  str			=				os.path.join(lowerCamelCase__      ,		'''triangle.txt'''      )

					with open(lowerCamelCase__      ) as in_file:
										A_			:  List[str]			=				[[int(lowerCamelCase__      ) for i in line.split()] for line in in_file]

					while len(lowerCamelCase__      ) != 1:
										A_			:  List[str]			=				triangle.pop()
										A_			:  Optional[Any]			=				triangle[-1]
										for j in range(len(lowerCamelCase__      ) - 1      ):
															curr_row[j] += max(last_row[j]      ,		last_row[j + 1]      )
					return triangle[0][0]


if __name__ == "__main__":
							print(solution())



