





'''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 	_lowercase    (				_UpperCAmelCase					):


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase=False       ):
       A							:							Union[str, 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(SCREAMING_SNAKE_CASE_       )     , '''wb'''       ).close()
       A							:							List[str]				=    pa.Table.from_pydict({'''filename''': [Path(SCREAMING_SNAKE_CASE_       ).name] * 100}       )
       if take == -1:
           A							:							Tuple				=    len(SCREAMING_SNAKE_CASE_       ) - skip
       if skip is not None and take is not None:
           A							:							List[str]				=    pa_table.slice(SCREAMING_SNAKE_CASE_     , SCREAMING_SNAKE_CASE_       )
       return pa_table







class 	_lowercase    (				_UpperCAmelCase					):


   def        snake_case					(			self       ):
       A							:							List[str]				=    """my_name"""
       A							:							str				=    SplitInfo(name='''train'''     , num_examples=100       )
       A							:							Optional[int]				=    SplitInfo(name='''test'''     , num_examples=100       )
       A							:							Tuple				=    [train_info, test_info]
       A							:							Union[str, Any]				=    SplitDict()
       split_dict.add(SCREAMING_SNAKE_CASE_       )
       split_dict.add(SCREAMING_SNAKE_CASE_       )
       A							:							Dict				=    DatasetInfo(splits=SCREAMING_SNAKE_CASE_       )

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

           A							:							int				=    """test[:33%]"""
           A							:							int				=    Dataset(**reader.read(SCREAMING_SNAKE_CASE_     , SCREAMING_SNAKE_CASE_     , SCREAMING_SNAKE_CASE_       )       )
           self.assertEqual(dset['''filename'''][0]     , f'''{name}-test'''       )
           self.assertEqual(dset.num_rows     , 33       )
           self.assertEqual(dset.num_columns     , 1       )

           A							:							Dict				=    ["""train""", """test[:33%]"""]
           A							:							List[str]				=    [Split.TRAIN, ReadInstruction.from_spec('''test[:33%]'''       )]
           for instructions in [instructionsa, instructionsa]:
               A							:							Tuple				=    [reader.read(SCREAMING_SNAKE_CASE_     , SCREAMING_SNAKE_CASE_     , SCREAMING_SNAKE_CASE_       ) for instr in instructions]
               A							:							List[str]				=    (Dataset(**SCREAMING_SNAKE_CASE_       ) 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     , SCREAMING_SNAKE_CASE_       )
               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     , SCREAMING_SNAKE_CASE_       )
               self.assertEqual(str(test_dset.split       )     , '''test[:33%]'''       )
               del train_dset, test_dset


   def        snake_case					(			self       ):
       A							:							Dict				=    """my_name"""
       A							:							List[str]				=    SplitInfo(name='''train'''     , num_examples=1_000     , shard_lengths=[100] * 10       )
       A							:							Optional[int]				=    [train_info]
       A							:							Optional[Any]				=    SplitDict()
       split_dict.add(SCREAMING_SNAKE_CASE_       )
       A							:							Any				=    DatasetInfo(splits=SCREAMING_SNAKE_CASE_       )

       with tempfile.TemporaryDirectory() as tmp_dir:
           A							:							List[Any]				=    ReaderTest(SCREAMING_SNAKE_CASE_     , SCREAMING_SNAKE_CASE_       )

           A							:							Dict				=    """train[:33%]"""
           A							:							List[Any]				=    Dataset(**reader.read(SCREAMING_SNAKE_CASE_     , SCREAMING_SNAKE_CASE_     , SCREAMING_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     , 330       )
           self.assertEqual(dset.num_columns     , 1       )


   def        snake_case					(			self       ):
       A							:							List[str]				=    SplitInfo(name='''train'''     , num_examples=100       )
       A							:							List[Any]				=    SplitInfo(name='''test'''     , num_examples=100       )
       A							:							List[Any]				=    SplitDict()
       split_dict.add(SCREAMING_SNAKE_CASE_       )
       split_dict.add(SCREAMING_SNAKE_CASE_       )
       A							:							Any				=    DatasetInfo(splits=SCREAMING_SNAKE_CASE_       )

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

           A							:							List[Any]				=    [
               {"""filename""": os.path.join(SCREAMING_SNAKE_CASE_     , '''train'''       )},
               {"""filename""": os.path.join(SCREAMING_SNAKE_CASE_     , '''test'''       ), """skip""": 10, """take""": 10},
           ]
           A							:							Union[str, Any]				=    Dataset(**reader.read_files(SCREAMING_SNAKE_CASE_     , 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(	UpperCamelCase__     :			int     ,							UpperCamelCase__     :			int     ,							UpperCamelCase__     :			Optional[int]		)		->	List[Any]:
    A							:							Optional[Any]				=    arrow_file
    with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
        A							:							Optional[Any]				=    ArrowReader.read_table(UpperCamelCase__     ,							in_memory=UpperCamelCase__		)
    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(	UpperCamelCase__     :			Any     ,							UpperCamelCase__     :			Tuple     ,							UpperCamelCase__     :			int		)		->	Dict:
    A							:							Dict				=    arrow_file
    A							:							Optional[int]				=    ArrowReader(''''''     ,							UpperCamelCase__		)
    with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
        A							:							Optional[Any]				=    reader.read_files([{'''filename''': filename}]     ,							in_memory=UpperCamelCase__		)
    assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
    A							:							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[int]:
    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							:							str				=    """train+test"""
    assert ReadInstruction.from_spec(UpperCamelCase__		).to_spec() == spec_train_test

    A							:							List[Any]				=    """train[2:10]"""
    assert ReadInstruction.from_spec(UpperCamelCase__		).to_spec() == spec_train_abs

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

    A							:							List[Any]				=    """train[:10%](closest)"""
    assert ReadInstruction.from_spec(UpperCamelCase__		).to_spec() == "train[:10%]"

    A							:							Any				=    """train[:10%](pct1_dropremainder)"""
    assert ReadInstruction.from_spec(UpperCamelCase__		).to_spec() == spec_train_pct_rounding

    A							:							List[str]				=    """train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)"""
    assert ReadInstruction.from_spec(UpperCamelCase__		).to_spec() == spec_train_test_pct_rounding
def 				_lowerCamelCase(	)		->	List[str]:
    A							:							Union[str, Any]				=    """dummy"""
    A							:							Optional[int]				=    [SplitInfo(name='''train'''     ,							num_examples=100		)]
    A							:							int				=    """train[:33%]"""
    A							:							Optional[int]				=    """arrow"""
    A							:							Dict				=    """prefix"""

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

    A							:							str				=    [SplitInfo(name='''train'''     ,							num_examples=100     ,							shard_lengths=[10] * 10		)]
    A							:							Optional[int]				=    make_file_instructions(UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__		)
    assert isinstance(UpperCamelCase__     ,							UpperCamelCase__		)
    assert file_instructions.num_examples == 33
    assert file_instructions.file_instructions == [
        {"filename": os.path.join(UpperCamelCase__     ,							F'''{name}-train-00000-of-00010.arrow'''		), "skip": 0, "take": -1},
        {"filename": os.path.join(UpperCamelCase__     ,							F'''{name}-train-00001-of-00010.arrow'''		), "skip": 0, "take": -1},
        {"filename": os.path.join(UpperCamelCase__     ,							F'''{name}-train-00002-of-00010.arrow'''		), "skip": 0, "take": -1},
        {"filename": os.path.join(UpperCamelCase__     ,							F'''{name}-train-00003-of-00010.arrow'''		), "skip": 0, "take": 3},
    ]





@pytest.mark.parametrize('''name, expected_exception'''     ,							[(None, TypeError), ('''''', ValueError)]		)
def 				_lowerCamelCase(	UpperCamelCase__     :			Tuple     ,							UpperCamelCase__     :			List[Any]		)		->	int:
    A							:							Optional[int]				=    [SplitInfo(name='''train'''     ,							num_examples=100		)]
    A							:							Union[str, Any]				=    """train"""
    A							:							str				=    """arrow"""
    A							:							Union[str, Any]				=    """prefix_path"""
    with pytest.raises(UpperCamelCase__		):
        A							:							List[Any]				=    make_file_instructions(UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__		)




_A		:					Union[str, Any]          =							1_000



def      __lowerCAmelCase    (				snake_case						:     float			)							->				float:
   return x * x



def      __lowerCAmelCase    (				snake_case						:     Optional[int]    ,   snake_case						:     float    ,   snake_case						:     float    ,   snake_case						:     int = 4			)							->				float:
   assert callable(
       snake_case			), f'the function(object) passed should be callable your input : {function}'
   assert isinstance(snake_case    ,   (float, int)			), f'a should be float or integer your input : {a}'
   assert isinstance(function(snake_case			)    ,   (float, int)			), (
       "the function should return integer or float return type of your function, "
       f'{type(snake_case			)}'
   )
   assert isinstance(snake_case    ,   (float, int)			), f'b should be float or integer your input : {b}'
   assert (
       isinstance(snake_case    ,   snake_case			) and precision > 0
   ), f'precision should be positive integer your input : {precision}'

   # just applying the formula of simpson for approximate integration written in
   # mentioned article in first comment of this file and above this function

   __lowerCamelCase:					List[str]	 =						(b - a) / N_STEPS
   __lowerCamelCase:					Optional[Any]	 =						function(snake_case			) + function(snake_case			)

   for i in range(1    ,   snake_case			):
      __lowerCamelCase:					Dict	 =						a + h * i
      result += function(snake_case			) * (4 if i % 2 else 2)

   result *= h / 3
   return round(snake_case    ,   snake_case			)


if __name__ == "__main__":
   import doctest

   doctest.testmod()


