






"""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        lowerCAmelCase__       (  __magic_name__					):
   def 	__a				(						self	:     Union[str, Any]				,       snake_case__	:     Union[str, Any]				,       snake_case__	:     List[str]=False				):


        '''simple docstring'''
        UpperCAmelCase__				,							UpperCAmelCase__				,							UpperCAmelCase__		:  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(snake_case__				)				,       "wb"				).close()
        UpperCAmelCase__		:  Optional[int]				=				pa.Table.from_pydict({"filename": [Path(snake_case__				).name] * 1_0_0}				)
        if take == -1:
             UpperCAmelCase__		:  int				=				len(snake_case__				) - skip
        if skip is not None and take is not None:
             UpperCAmelCase__		:  int				=				pa_table.slice(snake_case__				,       snake_case__				)
        return pa_table




class        lowerCAmelCase__       (  __magic_name__					):
   def 	__a				(						self	:     str				):


        '''simple docstring'''
        UpperCAmelCase__		:  List[str]				=				"my_name"
        UpperCAmelCase__		:  str				=				SplitInfo(name="train"				,       num_examples=1_0_0				)
        UpperCAmelCase__		:  Optional[Any]				=				SplitInfo(name="test"				,       num_examples=1_0_0				)
        UpperCAmelCase__		:  Optional[int]				=				[train_info, test_info]
        UpperCAmelCase__		:  Tuple				=				SplitDict()
        split_dict.add(snake_case__				)
        split_dict.add(snake_case__				)
        UpperCAmelCase__		:  Optional[Any]				=				DatasetInfo(splits=snake_case__				)

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

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

             UpperCAmelCase__		:  List[str]				=				["train", "test[:33%]"]
             UpperCAmelCase__		:  Optional[Any]				=				[Split.TRAIN, ReadInstruction.from_spec("test[:33%]"				)]
             for instructions in [instructionsa, instructionsa]:
                  UpperCAmelCase__		:  Union[str, Any]				=				[reader.read(snake_case__				,       snake_case__				,       snake_case__				) for instr in instructions]
                  UpperCAmelCase__				,							UpperCAmelCase__		:  Any				=				(Dataset(**snake_case__				) 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				,       snake_case__				)
                  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				,       snake_case__				)
                  self.assertEqual(str(test_dset.split				)				,       "test[:33%]"				)
                  del train_dset, test_dset
   def 	__a				(						self	:     Dict				):


        '''simple docstring'''
        UpperCAmelCase__		:  int				=				"my_name"
        UpperCAmelCase__		:  Optional[int]				=				SplitInfo(name="train"				,       num_examples=1_0_0_0				,       shard_lengths=[1_0_0] * 1_0				)
        UpperCAmelCase__		:  int				=				[train_info]
        UpperCAmelCase__		:  Tuple				=				SplitDict()
        split_dict.add(snake_case__				)
        UpperCAmelCase__		:  Any				=				DatasetInfo(splits=snake_case__				)

        with tempfile.TemporaryDirectory() as tmp_dir:
             UpperCAmelCase__		:  Optional[Any]				=				ReaderTest(snake_case__				,       snake_case__				)

             UpperCAmelCase__		:  str				=				"train[:33%]"
             UpperCAmelCase__		:  Tuple				=				Dataset(**reader.read(snake_case__				,       snake_case__				,       snake_case__				)				)
             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 	__a				(						self	:     List[Any]				):


        '''simple docstring'''
        UpperCAmelCase__		:  List[str]				=				SplitInfo(name="train"				,       num_examples=1_0_0				)
        UpperCAmelCase__		:  Union[str, Any]				=				SplitInfo(name="test"				,       num_examples=1_0_0				)
        UpperCAmelCase__		:  Dict				=				SplitDict()
        split_dict.add(snake_case__				)
        split_dict.add(snake_case__				)
        UpperCAmelCase__		:  str				=				DatasetInfo(splits=snake_case__				)

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

             UpperCAmelCase__		:  str				=				[
                 {"filename": os.path.join(snake_case__				,       "train"				)},
                 {"filename": os.path.join(snake_case__				,       "test"				), "skip": 1_0, "take": 1_0},
             ]
             UpperCAmelCase__		:  Dict				=				Dataset(**reader.read_files(snake_case__				,       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      SCREAMING_SNAKE_CASE__    (   snake_case    :      Dict       , snake_case    :      Optional[Any]       , snake_case    :      Union[str, Any]							)->						str:






     '''simple docstring'''



     UpperCAmelCase__		:  int				=				arrow_file
     with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
          UpperCAmelCase__		:  Tuple				=				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      SCREAMING_SNAKE_CASE__    (   snake_case    :      Optional[int]       , snake_case    :      Tuple       , snake_case    :      Optional[int]							)->						List[Any]:






     '''simple docstring'''



     UpperCAmelCase__		:  Any				=				arrow_file
     UpperCAmelCase__		:  Optional[Any]				=				ArrowReader(""       , snake_case							)
     with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
          UpperCAmelCase__		:  int				=				reader.read_files([{"filename": filename}]       , in_memory=snake_case							)
     assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
     UpperCAmelCase__		:  Union[str, 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      SCREAMING_SNAKE_CASE__    (   )->						Optional[int]:






     '''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%]"

     UpperCAmelCase__		:  Optional[int]				=				"train+test"
     assert ReadInstruction.from_spec(snake_case							).to_spec() == spec_train_test

     UpperCAmelCase__		:  Tuple				=				"train[2:10]"
     assert ReadInstruction.from_spec(snake_case							).to_spec() == spec_train_abs

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

     UpperCAmelCase__		:  Optional[Any]				=				"train[:10%](closest)"
     assert ReadInstruction.from_spec(snake_case							).to_spec() == "train[:10%]"

     UpperCAmelCase__		:  str				=				"train[:10%](pct1_dropremainder)"
     assert ReadInstruction.from_spec(snake_case							).to_spec() == spec_train_pct_rounding

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


def      SCREAMING_SNAKE_CASE__    (   )->						List[Any]:






     '''simple docstring'''



     UpperCAmelCase__		:  int				=				"dummy"
     UpperCAmelCase__		:  Dict				=				[SplitInfo(name="train"       , num_examples=100							)]
     UpperCAmelCase__		:  List[Any]				=				"train[:33%]"
     UpperCAmelCase__		:  str				=				"arrow"
     UpperCAmelCase__		:  int				=				"prefix"

     UpperCAmelCase__		:  Tuple				=				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}
     ]

     UpperCAmelCase__		:  Any				=				[SplitInfo(name="train"       , num_examples=100       , shard_lengths=[10] * 10							)]
     UpperCAmelCase__		:  Dict				=				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      SCREAMING_SNAKE_CASE__    (   snake_case    :      List[Any]       , snake_case    :      str							)->						Optional[Any]:






     '''simple docstring'''



     UpperCAmelCase__		:  int				=				[SplitInfo(name="train"       , num_examples=100							)]
     UpperCAmelCase__		:  Dict				=				"train"
     UpperCAmelCase__		:  Any				=				"arrow"
     UpperCAmelCase__		:  Optional[int]				=				"prefix_path"
     with pytest.raises(snake_case							):
          UpperCAmelCase__		:  List[Any]				=				make_file_instructions(snake_case       , snake_case       , snake_case       , snake_case       , snake_case							)



from __future__ import annotations

from enum import Enum


class   lowercase			(   a   ):
							lowercase__  :				List[str]									=							24
							lowercase__  :				int									=							21
							lowercase__  :				Union[str, Any]									=							18
							lowercase__  :				Dict									=							15
							lowercase__  :				Any									=							12
							lowercase__  :				List[Any]									=							9
							lowercase__  :				Optional[int]									=							6
							lowercase__  :				List[Any]									=							3
							lowercase__  :				int									=							2
							lowercase__  :				Optional[int]									=							1
							lowercase__  :				Dict									=							-1
							lowercase__  :				Any									=							-2
							lowercase__  :				Tuple									=							-3
							lowercase__  :				Optional[Any]									=							-6
							lowercase__  :				Tuple									=							-9
							lowercase__  :				List[Any]									=							-12
							lowercase__  :				Any									=							-15
							lowercase__  :				List[Any]									=							-18
							lowercase__  :				int									=							-21
							lowercase__  :				Optional[Any]									=							-24



class   lowercase			(   a   ):
							lowercase__  :				Union[str, Any]									=							8
							lowercase__  :				List[Any]									=							7
							lowercase__  :				List[str]									=							6
							lowercase__  :				Dict									=							5
							lowercase__  :				List[Any]									=							4
							lowercase__  :				Union[str, Any]									=							3
							lowercase__  :				Union[str, Any]									=							2
							lowercase__  :				Optional[Any]									=							1





def 		__lowerCamelCase							(UpperCAmelCase__   :							float					,       UpperCAmelCase__   :							str | SIUnit					,       UpperCAmelCase__   :							str | SIUnit					,       ):
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				SIUnit[known_prefix.lower()]
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				SIUnit[unknown_prefix.lower()]
					SCREAMING_SNAKE_CASE				=				known_amount * (
					    1_0 ** (known_prefix.value - unknown_prefix.value)
					)
					return unknown_amount





def 		__lowerCamelCase							(UpperCAmelCase__   :							float					,       UpperCAmelCase__   :							str | BinaryUnit					,       UpperCAmelCase__   :							str | BinaryUnit					,       ):
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				BinaryUnit[known_prefix.lower()]
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				BinaryUnit[unknown_prefix.lower()]
					SCREAMING_SNAKE_CASE				=				known_amount * (
					    2 ** ((known_prefix.value - unknown_prefix.value) * 1_0)
					)
					return unknown_amount


if __name__ == "__main__":
							import doctest

							doctest.testmod()




