




"""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 							snake_case_ (				lowerCamelCase_ ):







   """simple docstring"""




   def      UpperCAmelCase__ (		self					,				lowerCamelCase_					,				lowerCamelCase_=False)							->      int:
       UpperCamelCase					,  UpperCamelCase					,  UpperCamelCase										=  (
           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()
       UpperCamelCase										=  pa.Table.from_pydict({'''filename''': [Path(lowerCamelCase_).name] * 1_0_0})
       if take == -1:
           UpperCamelCase										=  len(lowerCamelCase_) - skip
       if skip is not None and take is not None:
           UpperCamelCase										=  pa_table.slice(lowerCamelCase_					,				lowerCamelCase_)
       return pa_table

class 							snake_case_ (				lowerCamelCase_ ):







   """simple docstring"""




   def      UpperCAmelCase__ (		self)							->      Dict:
       UpperCamelCase										=  '''my_name'''
       UpperCamelCase										=  SplitInfo(name='''train'''					,				num_examples=1_0_0)
       UpperCamelCase										=  SplitInfo(name='''test'''					,				num_examples=1_0_0)
       UpperCamelCase										=  [train_info, test_info]
       UpperCamelCase										=  SplitDict()
       split_dict.add(lowerCamelCase_)
       split_dict.add(lowerCamelCase_)
       UpperCamelCase										=  DatasetInfo(splits=lowerCamelCase_)

       with tempfile.TemporaryDirectory() as tmp_dir:
           UpperCamelCase										=  ReaderTest(lowerCamelCase_					,				lowerCamelCase_)

           UpperCamelCase										=  '''test[:33%]'''
           UpperCamelCase										=  Dataset(**reader.read(lowerCamelCase_					,				lowerCamelCase_					,				lowerCamelCase_))
           self.assertEqual(dset['''filename'''][0]					,				F'{name}-test')
           self.assertEqual(dset.num_rows					,				3_3)
           self.assertEqual(dset.num_columns					,				1)

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







   def      UpperCAmelCase__ (		self)							->      str:
       UpperCamelCase										=  '''my_name'''
       UpperCamelCase										=  SplitInfo(name='''train'''					,				num_examples=1_0_0_0					,				shard_lengths=[1_0_0] * 1_0)
       UpperCamelCase										=  [train_info]
       UpperCamelCase										=  SplitDict()
       split_dict.add(lowerCamelCase_)
       UpperCamelCase										=  DatasetInfo(splits=lowerCamelCase_)

       with tempfile.TemporaryDirectory() as tmp_dir:
           UpperCamelCase										=  ReaderTest(lowerCamelCase_					,				lowerCamelCase_)

           UpperCamelCase										=  '''train[:33%]'''
           UpperCamelCase										=  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_3_0)
           self.assertEqual(dset.num_columns					,				1)







   def      UpperCAmelCase__ (		self)							->      Optional[int]:
       UpperCamelCase										=  SplitInfo(name='''train'''					,				num_examples=1_0_0)
       UpperCamelCase										=  SplitInfo(name='''test'''					,				num_examples=1_0_0)
       UpperCamelCase										=  SplitDict()
       split_dict.add(lowerCamelCase_)
       split_dict.add(lowerCamelCase_)
       UpperCamelCase										=  DatasetInfo(splits=lowerCamelCase_)

       with tempfile.TemporaryDirectory() as tmp_dir:
           UpperCamelCase										=  ReaderTest(lowerCamelCase_					,				lowerCamelCase_)

           UpperCamelCase										=  [
               {'''filename''': os.path.join(lowerCamelCase_					,				'''train''')},
               {'''filename''': os.path.join(lowerCamelCase_					,				'''test'''), '''skip''': 1_0, '''take''': 1_0},
           ]
           UpperCamelCase										=  Dataset(**reader.read_files(lowerCamelCase_					,				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     __snake_case   (							_lowercase ,_lowercase ,_lowercase						):


    """simple docstring"""







    UpperCamelCase										=  arrow_file
    with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
        UpperCamelCase										=  ArrowReader.read_table(_lowercase ,in_memory=_lowercase						)
    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     __snake_case   (							_lowercase ,_lowercase ,_lowercase						):


    """simple docstring"""







    UpperCamelCase										=  arrow_file
    UpperCamelCase										=  ArrowReader('''''' ,_lowercase						)
    with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
        UpperCamelCase										=  reader.read_files([{'''filename''': filename}] ,in_memory=_lowercase						)
    assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
    UpperCamelCase										=  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     __snake_case   (							):


    """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										=  '''train+test'''
    assert ReadInstruction.from_spec(_lowercase						).to_spec() == spec_train_test

    UpperCamelCase										=  '''train[2:10]'''
    assert ReadInstruction.from_spec(_lowercase						).to_spec() == spec_train_abs

    UpperCamelCase										=  '''train[15%:-20%]'''
    assert ReadInstruction.from_spec(_lowercase						).to_spec() == spec_train_pct

    UpperCamelCase										=  '''train[:10%](closest)'''
    assert ReadInstruction.from_spec(_lowercase						).to_spec() == "train[:10%]"

    UpperCamelCase										=  '''train[:10%](pct1_dropremainder)'''
    assert ReadInstruction.from_spec(_lowercase						).to_spec() == spec_train_pct_rounding

    UpperCamelCase										=  '''train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'''
    assert ReadInstruction.from_spec(_lowercase						).to_spec() == spec_train_test_pct_rounding





def     __snake_case   (							):


    """simple docstring"""







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

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

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





@pytest.mark.parametrize('''name, expected_exception''' ,[(None, TypeError), ('''''', ValueError)]						)
def     __snake_case   (							_lowercase ,_lowercase						):


    """simple docstring"""







    UpperCamelCase										=  [SplitInfo(name='''train''' ,num_examples=100						)]
    UpperCamelCase										=  '''train'''
    UpperCamelCase										=  '''arrow'''
    UpperCamelCase										=  '''prefix_path'''
    with pytest.raises(_lowercase						):
        UpperCamelCase										=  make_file_instructions(_lowercase ,_lowercase ,_lowercase ,_lowercase ,_lowercase						)





"""simple docstring"""







from math import pi





def     __snake_case   (							_lowercase						):


    """simple docstring"""







    return degree / (180 / pi)


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

  testmod()