



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 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''







						def       SCREAMING_SNAKE_CASE__		(						self   :      Union[str, Any]						,						__lowerCamelCase   :      List[Any]						,						__lowerCamelCase   :      str=False			)   ->					List[Any]:
									A							,			A							,			A				:       Tuple														=    (
									    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				:       Union[str, Any]														=    pa.Table.from_pydict({"filename": [Path(__lowerCamelCase			).name] * 1_00}			)
									if take == -1:
												A				:       Any														=    len(__lowerCamelCase			) - skip
									if skip is not None and take is not None:
												A				:       str														=    pa_table.slice(__lowerCamelCase						,						__lowerCamelCase			)
									return pa_table







class 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''







						def       SCREAMING_SNAKE_CASE__		(						self   :      int			)   ->					str:
									A				:       Optional[int]														=    "my_name"
									A				:       str														=    SplitInfo(name="train"						,						num_examples=1_00			)
									A				:       Tuple														=    SplitInfo(name="test"						,						num_examples=1_00			)
									A				:       int														=    [train_info, test_info]
									A				:       List[str]														=    SplitDict()
									split_dict.add(__lowerCamelCase			)
									split_dict.add(__lowerCamelCase			)
									A				:       Tuple														=    DatasetInfo(splits=__lowerCamelCase			)

									with tempfile.TemporaryDirectory() as tmp_dir:
												A				:       Union[str, Any]														=    ReaderTest(__lowerCamelCase						,						__lowerCamelCase			)

												A				:       Tuple														=    "test[:33%]"
												A				:       List[str]														=    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[Any]														=    ["train", "test[:33%]"]
												A				:       Tuple														=    [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				:       Optional[int]														=    (Dataset(**__lowerCamelCase			) for dataset_kwargs in datasets_kwargs)
															self.assertEqual(train_dset["filename"][0]						,						F"""{name}-train"""			)
															self.assertEqual(train_dset.num_rows						,						1_00			)
															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       SCREAMING_SNAKE_CASE__		(						self   :      str			)   ->					List[Any]:
									A				:       Optional[Any]														=    "my_name"
									A				:       int														=    SplitInfo(name="train"						,						num_examples=10_00						,						shard_lengths=[1_00] * 10			)
									A				:       Dict														=    [train_info]
									A				:       Dict														=    SplitDict()
									split_dict.add(__lowerCamelCase			)
									A				:       Union[str, Any]														=    DatasetInfo(splits=__lowerCamelCase			)

									with tempfile.TemporaryDirectory() as tmp_dir:
												A				:       int														=    ReaderTest(__lowerCamelCase						,						__lowerCamelCase			)

												A				:       Optional[int]														=    "train[:33%]"
												A				:       Optional[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						,						3_30			)
												self.assertEqual(dset.num_columns						,						1			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      Union[str, Any]			)   ->					List[str]:
									A				:       List[Any]														=    SplitInfo(name="train"						,						num_examples=1_00			)
									A				:       Union[str, Any]														=    SplitInfo(name="test"						,						num_examples=1_00			)
									A				:       Tuple														=    SplitDict()
									split_dict.add(__lowerCamelCase			)
									split_dict.add(__lowerCamelCase			)
									A				:       Dict														=    DatasetInfo(splits=__lowerCamelCase			)

									with tempfile.TemporaryDirectory() as tmp_dir:
												A				:       Optional[int]														=    ReaderTest(__lowerCamelCase						,						__lowerCamelCase			)

												A				:       Dict														=    [
												    {"filename": os.path.join(__lowerCamelCase						,						"train"			)},
												    {"filename": os.path.join(__lowerCamelCase						,						"test"			), "skip": 10, "take": 10},
												]
												A				:       Union[str, Any]														=    Dataset(**reader.read_files(__lowerCamelCase						,						original_instructions="train+test[10:20]"			)			)
												self.assertEqual(dset.num_rows						,						1_10			)
												self.assertEqual(dset.num_columns						,						1			)
												del dset







@pytest.mark.parametrize("in_memory"			,     [False, True]     )
def 						UpperCAmelCase (    _lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase     ):
			A				:       Union[str, Any]														=    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 						UpperCAmelCase (    _lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase     ):
			A				:       Union[str, Any]														=    arrow_file
			A				:       List[str]														=    ArrowReader(""			,     _lowerCamelCase     )
			with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
						A				:       Tuple														=    reader.read_files([{"filename": filename}]			,     in_memory=_lowerCamelCase     )
			assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
			A				:       List[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 						UpperCAmelCase (    ):
			assert ReadInstruction("train"			,     to=10			,     unit="abs"     ).to_spec() == "train[:10]"
			assert ReadInstruction("train"			,     from_=-80			,     to=10			,     unit="%"     ).to_spec() == "train[-80%:10%]"

			A				:       int														=    "train+test"
			assert ReadInstruction.from_spec(_lowerCamelCase     ).to_spec() == spec_train_test

			A				:       Dict														=    "train[2:10]"
			assert ReadInstruction.from_spec(_lowerCamelCase     ).to_spec() == spec_train_abs

			A				:       int														=    "train[15%:-20%]"
			assert ReadInstruction.from_spec(_lowerCamelCase     ).to_spec() == spec_train_pct

			A				:       Dict														=    "train[:10%](closest)"
			assert ReadInstruction.from_spec(_lowerCamelCase     ).to_spec() == "train[:10%]"

			A				:       Optional[int]														=    "train[:10%](pct1_dropremainder)"
			assert ReadInstruction.from_spec(_lowerCamelCase     ).to_spec() == spec_train_pct_rounding

			A				:       List[str]														=    "train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)"
			assert ReadInstruction.from_spec(_lowerCamelCase     ).to_spec() == spec_train_test_pct_rounding




def 						UpperCAmelCase (    ):
			A				:       Tuple														=    "dummy"
			A				:       Tuple														=    [SplitInfo(name="train"			,     num_examples=100     )]
			A				:       Optional[int]														=    "train[:33%]"
			A				:       Tuple														=    "arrow"
			A				:       str														=    "prefix"

			A				:       Optional[Any]														=    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}
			]

			A				:       str														=    [SplitInfo(name="train"			,     num_examples=100			,     shard_lengths=[10] * 10     )]
			A				:       int														=    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 						UpperCAmelCase (    _lowerCamelCase			,     _lowerCamelCase     ):
			A				:       Optional[int]														=    [SplitInfo(name="train"			,     num_examples=100     )]
			A				:       List[Any]														=    "train"
			A				:       str														=    "arrow"
			A				:       List[Any]														=    "prefix_path"
			with pytest.raises(_lowerCamelCase     ):
						A				:       Dict														=    make_file_instructions(_lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase     )




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return "".join(chr(ord(_lowerCamelCase     ) + 32     ) if "A" <= char <= "Z" else char for char in word     )


if __name__ == "__main__":
							from doctest import testmod

							testmod()