






'''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					(							lowerCamelCase__   ):







   """simple docstring"""







   def    __magic_name__    ( self   ,   _A   ,   _A=False			)    ->   int:
    __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(_A			)   ,   'wb'			).close()
    __a    :	Any									=						pa.Table.from_pydict({'filename': [Path(_A			).name] * 100}			)
    if take == -1:
     __a    :	List[Any]									=						len(_A			) - skip
    if skip is not None and take is not None:
     __a    :	Optional[int]									=						pa_table.slice(_A   ,   _A			)
    return pa_table




class 							lowerCAmelCase					(							lowerCamelCase__   ):







   """simple docstring"""







   def    __magic_name__    ( self			)    ->   List[Any]:
    __a    :	Optional[int]									=						'my_name'
    __a    :	str									=						SplitInfo(name='train'   ,   num_examples=100			)
    __a    :	List[Any]									=						SplitInfo(name='test'   ,   num_examples=100			)
    __a    :	str									=						[train_info, test_info]
    __a    :	Tuple									=						SplitDict()
    split_dict.add(_A			)
    split_dict.add(_A			)
    __a    :	str									=						DatasetInfo(splits=_A			)

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

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

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



   def    __magic_name__    ( self			)    ->   Tuple:
    __a    :	Any									=						'my_name'
    __a    :	Any									=						SplitInfo(name='train'   ,   num_examples=1000   ,   shard_lengths=[100] * 10			)
    __a    :	str									=						[train_info]
    __a    :	Union[str, Any]									=						SplitDict()
    split_dict.add(_A			)
    __a    :	List[Any]									=						DatasetInfo(splits=_A			)

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

     __a    :	Optional[Any]									=						'train[:33%]'
     __a    :	Tuple									=						Dataset(**reader.read(_A   ,   _A   ,   _A			)			)
     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    __magic_name__    ( self			)    ->   int:
    __a    :	Any									=						SplitInfo(name='train'   ,   num_examples=100			)
    __a    :	List[Any]									=						SplitInfo(name='test'   ,   num_examples=100			)
    __a    :	List[str]									=						SplitDict()
    split_dict.add(_A			)
    split_dict.add(_A			)
    __a    :	List[Any]									=						DatasetInfo(splits=_A			)

    with tempfile.TemporaryDirectory() as tmp_dir:
     __a    :	str									=						ReaderTest(_A   ,   _A			)

     __a    :	List[str]									=						[
         {'filename': os.path.join(_A   ,   'train'			)},
         {'filename': os.path.join(_A   ,   'test'			), 'skip': 10, 'take': 10},
     ]
     __a    :	List[str]									=						Dataset(**reader.read_files(_A   ,   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__			(					SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__		):
 __a    :	List[Any]									=						arrow_file
 with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  __a    :	int									=						ArrowReader.read_table(SCREAMING_SNAKE_CASE__       ,		in_memory=SCREAMING_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   lowerCAmelCase__			(					SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__		):
 __a    :	Dict									=						arrow_file
 __a    :	Union[str, Any]									=						ArrowReader(''       ,		SCREAMING_SNAKE_CASE__		)
 with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  __a    :	List[str]									=						reader.read_files([{'filename': filename}]       ,		in_memory=SCREAMING_SNAKE_CASE__		)
 assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
 __a    :	Tuple									=						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__			(					):
 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(SCREAMING_SNAKE_CASE__		).to_spec() == spec_train_test

 __a    :	List[str]									=						'train[2:10]'
 assert ReadInstruction.from_spec(SCREAMING_SNAKE_CASE__		).to_spec() == spec_train_abs

 __a    :	List[str]									=						'train[15%:-20%]'
 assert ReadInstruction.from_spec(SCREAMING_SNAKE_CASE__		).to_spec() == spec_train_pct

 __a    :	List[str]									=						'train[:10%](closest)'
 assert ReadInstruction.from_spec(SCREAMING_SNAKE_CASE__		).to_spec() == "train[:10%]"

 __a    :	Optional[Any]									=						'train[:10%](pct1_dropremainder)'
 assert ReadInstruction.from_spec(SCREAMING_SNAKE_CASE__		).to_spec() == spec_train_pct_rounding

 __a    :	Optional[int]									=						'train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'
 assert ReadInstruction.from_spec(SCREAMING_SNAKE_CASE__		).to_spec() == spec_train_test_pct_rounding






def   lowerCAmelCase__			(					):
 __a    :	int									=						'dummy'
 __a    :	Dict									=						[SplitInfo(name='train'       ,		num_examples=100		)]
 __a    :	Optional[Any]									=						'train[:33%]'
 __a    :	List[Any]									=						'arrow'
 __a    :	int									=						'prefix'

 __a    :	Optional[int]									=						make_file_instructions(SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__		)
 assert isinstance(SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__		)
 assert file_instructions.num_examples == 33
 assert file_instructions.file_instructions == [
     {"filename": os.path.join(SCREAMING_SNAKE_CASE__       ,		f'''{name}-train.arrow'''		), "skip": 0, "take": 33}
 ]

 __a    :	Any									=						[SplitInfo(name='train'       ,		num_examples=100       ,		shard_lengths=[10] * 10		)]
 __a    :	Tuple									=						make_file_instructions(SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__		)
 assert isinstance(SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__		)
 assert file_instructions.num_examples == 33
 assert file_instructions.file_instructions == [
     {"filename": os.path.join(SCREAMING_SNAKE_CASE__       ,		f'''{name}-train-00000-of-00010.arrow'''		), "skip": 0, "take": -1},
     {"filename": os.path.join(SCREAMING_SNAKE_CASE__       ,		f'''{name}-train-00001-of-00010.arrow'''		), "skip": 0, "take": -1},
     {"filename": os.path.join(SCREAMING_SNAKE_CASE__       ,		f'''{name}-train-00002-of-00010.arrow'''		), "skip": 0, "take": -1},
     {"filename": os.path.join(SCREAMING_SNAKE_CASE__       ,		f'''{name}-train-00003-of-00010.arrow'''		), "skip": 0, "take": 3},
 ]






@pytest.mark.parametrize('name, expected_exception'       ,		[(None, TypeError), ('', ValueError)]		)
def   lowerCAmelCase__			(					SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__		):
 __a    :	List[Any]									=						[SplitInfo(name='train'       ,		num_examples=100		)]
 __a    :	Dict									=						'train'
 __a    :	Dict									=						'arrow'
 __a    :	List[Any]									=						'prefix_path'
 with pytest.raises(SCREAMING_SNAKE_CASE__		):
  __a    :	str									=						make_file_instructions(SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__       ,		SCREAMING_SNAKE_CASE__		)












'''simple docstring'''


def   lowerCAmelCase__			(					SCREAMING_SNAKE_CASE__ = 30		):
 __a    :	Tuple									=						exponent + 2
 __a    :	str									=						(1 + 5**0.5) / 2
 __a    :	Any									=						(phi**fibonacci_index - (phi - 1) ** fibonacci_index) / 5**0.5

 return int(SCREAMING_SNAKE_CASE__		)


if __name__ == "__main__":
  print(F"{solution() = }")




