"""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						(     __lowerCAmelCase     ):

				def 		_a     (				self     ,			_lowerCamelCase     ,			_lowerCamelCase=False				):
										lowerCamelCase__ ,				lowerCamelCase__ ,				lowerCamelCase__ =(
										    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()
										lowerCamelCase__ =pa.Table.from_pydict({"filename": [Path(_lowerCamelCase				).name] * 100}				)
										if take == -1:
																lowerCamelCase__ =len(_lowerCamelCase				) - skip
										if skip is not None and take is not None:
																lowerCamelCase__ =pa_table.slice(_lowerCamelCase     ,			_lowerCamelCase				)
										return pa_table






class        __UpperCAmelCase						(     __lowerCAmelCase     ):

				def 		_a     (				self				):
										lowerCamelCase__ ="my_name"
										lowerCamelCase__ =SplitInfo(name="train"     ,			num_examples=100				)
										lowerCamelCase__ =SplitInfo(name="test"     ,			num_examples=100				)
										lowerCamelCase__ =[train_info, test_info]
										lowerCamelCase__ =SplitDict()
										split_dict.add(_lowerCamelCase				)
										split_dict.add(_lowerCamelCase				)
										lowerCamelCase__ =DatasetInfo(splits=_lowerCamelCase				)

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

																lowerCamelCase__ ="test[:33%]"
																lowerCamelCase__ =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				)

																lowerCamelCase__ =["train", "test[:33%]"]
																lowerCamelCase__ =[Split.TRAIN, ReadInstruction.from_spec("test[:33%]"				)]
																for instructions in [instructionsa, instructionsa]:
																						lowerCamelCase__ =[reader.read(_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase				) for instr in instructions]
																						lowerCamelCase__ ,				lowerCamelCase__ =(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				):
										lowerCamelCase__ ="my_name"
										lowerCamelCase__ =SplitInfo(name="train"     ,			num_examples=1000     ,			shard_lengths=[100] * 10				)
										lowerCamelCase__ =[train_info]
										lowerCamelCase__ =SplitDict()
										split_dict.add(_lowerCamelCase				)
										lowerCamelCase__ =DatasetInfo(splits=_lowerCamelCase				)

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

																lowerCamelCase__ ="train[:33%]"
																lowerCamelCase__ =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				):
										lowerCamelCase__ =SplitInfo(name="train"     ,			num_examples=100				)
										lowerCamelCase__ =SplitInfo(name="test"     ,			num_examples=100				)
										lowerCamelCase__ =SplitDict()
										split_dict.add(_lowerCamelCase				)
										split_dict.add(_lowerCamelCase				)
										lowerCamelCase__ =DatasetInfo(splits=_lowerCamelCase				)

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

																lowerCamelCase__ =[
																    {"filename": os.path.join(_lowerCamelCase     ,			"train"				)},
																    {"filename": os.path.join(_lowerCamelCase     ,			"test"				), "skip": 10, "take": 10},
																]
																lowerCamelCase__ =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       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase    )							-> int:




						'''simple docstring'''



						lowerCamelCase__ =arrow_file
						with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
												lowerCamelCase__ =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       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase    )							-> int:




						'''simple docstring'''



						lowerCamelCase__ =arrow_file
						lowerCamelCase__ =ArrowReader(""       ,   __lowerCAmelCase    )
						with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
												lowerCamelCase__ =reader.read_files([{"filename": filename}]       ,   in_memory=__lowerCAmelCase    )
						assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
						lowerCamelCase__ =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_			( )							-> List[str]:




						'''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%]"

						lowerCamelCase__ ="train+test"
						assert ReadInstruction.from_spec(__lowerCAmelCase    ).to_spec() == spec_train_test

						lowerCamelCase__ ="train[2:10]"
						assert ReadInstruction.from_spec(__lowerCAmelCase    ).to_spec() == spec_train_abs

						lowerCamelCase__ ="train[15%:-20%]"
						assert ReadInstruction.from_spec(__lowerCAmelCase    ).to_spec() == spec_train_pct

						lowerCamelCase__ ="train[:10%](closest)"
						assert ReadInstruction.from_spec(__lowerCAmelCase    ).to_spec() == "train[:10%]"

						lowerCamelCase__ ="train[:10%](pct1_dropremainder)"
						assert ReadInstruction.from_spec(__lowerCAmelCase    ).to_spec() == spec_train_pct_rounding

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





def       lowerCamelCase_			( )							-> int:




						'''simple docstring'''



						lowerCamelCase__ ="dummy"
						lowerCamelCase__ =[SplitInfo(name="train"       ,   num_examples=100    )]
						lowerCamelCase__ ="train[:33%]"
						lowerCamelCase__ ="arrow"
						lowerCamelCase__ ="prefix"

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

						lowerCamelCase__ =[SplitInfo(name="train"       ,   num_examples=100       ,   shard_lengths=[10] * 10    )]
						lowerCamelCase__ =make_file_instructions(__lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase    )
						assert isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    )
						assert file_instructions.num_examples == 33
						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       lowerCamelCase_			( __lowerCAmelCase       ,   __lowerCAmelCase    )							-> Optional[Any]:




						'''simple docstring'''



						lowerCamelCase__ =[SplitInfo(name="train"       ,   num_examples=100    )]
						lowerCamelCase__ ="train"
						lowerCamelCase__ ="arrow"
						lowerCamelCase__ ="prefix_path"
						with pytest.raises(__lowerCAmelCase    ):
												lowerCamelCase__ =make_file_instructions(__lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase       ,   __lowerCAmelCase    )



"""simple docstring"""


from __future__ import annotations





def       lowerCamelCase_			( __lowerCAmelCase    )							-> int | float:




						'''simple docstring'''



						lowerCamelCase__ =sorted(__lowerCAmelCase    )
						lowerCamelCase__ =len(__lowerCAmelCase    )
						lowerCamelCase__ =length >> 1
						return (
						    (sorted_list[mid_index] + sorted_list[mid_index - 1]) / 2
						    if length % 2 == 0
						    else sorted_list[mid_index]
						)





def       lowerCamelCase_			( )							-> Tuple:




						'''simple docstring'''



						import doctest

						doctest.testmod()


if __name__ == "__main__":
	main()


