

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 				A_					(						snake_case__   ):


     def     UpperCAmelCase    (				self     :						Union[str, Any]     ,    UpperCAmelCase     :						List[str]     ,    UpperCAmelCase     :						Tuple=False   )				->      Optional[Any]:
      __lowerCAmelCase      ,				__lowerCAmelCase      ,				__lowerCAmelCase:  List[str]        = (
          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(UpperCAmelCase   )     ,    'wb'   ).close()
      __lowerCAmelCase:  List[str]        = pa.Table.from_pydict({'filename': [Path(UpperCAmelCase   ).name] * 1_0_0}   )
      if take == -1:
       __lowerCAmelCase:  Tuple        = len(UpperCAmelCase   ) - skip
      if skip is not None and take is not None:
       __lowerCAmelCase:  str        = pa_table.slice(UpperCAmelCase     ,    UpperCAmelCase   )
      return pa_table







class 				A_					(						snake_case__   ):


     def     UpperCAmelCase    (				self     :						Optional[int]   )				->      Tuple:
      __lowerCAmelCase:  int        = 'my_name'
      __lowerCAmelCase:  int        = SplitInfo(name='train'     ,    num_examples=1_0_0   )
      __lowerCAmelCase:  List[str]        = SplitInfo(name='test'     ,    num_examples=1_0_0   )
      __lowerCAmelCase:  Dict        = [train_info, test_info]
      __lowerCAmelCase:  Optional[int]        = SplitDict()
      split_dict.add(UpperCAmelCase   )
      split_dict.add(UpperCAmelCase   )
      __lowerCAmelCase:  List[str]        = DatasetInfo(splits=UpperCAmelCase   )

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

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

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


     def     UpperCAmelCase    (				self     :						str   )				->      Tuple:
      __lowerCAmelCase:  str        = 'my_name'
      __lowerCAmelCase:  List[Any]        = SplitInfo(name='train'     ,    num_examples=1_0_0_0     ,    shard_lengths=[1_0_0] * 1_0   )
      __lowerCAmelCase:  str        = [train_info]
      __lowerCAmelCase:  List[Any]        = SplitDict()
      split_dict.add(UpperCAmelCase   )
      __lowerCAmelCase:  List[str]        = DatasetInfo(splits=UpperCAmelCase   )

      with tempfile.TemporaryDirectory() as tmp_dir:
       __lowerCAmelCase:  Dict        = ReaderTest(UpperCAmelCase     ,    UpperCAmelCase   )

       __lowerCAmelCase:  List[str]        = 'train[:33%]'
       __lowerCAmelCase:  int        = Dataset(**reader.read(UpperCAmelCase     ,    UpperCAmelCase     ,    UpperCAmelCase   )   )
       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     :						Union[str, Any]   )				->      List[Any]:
      __lowerCAmelCase:  Any        = SplitInfo(name='train'     ,    num_examples=1_0_0   )
      __lowerCAmelCase:  Any        = SplitInfo(name='test'     ,    num_examples=1_0_0   )
      __lowerCAmelCase:  Optional[int]        = SplitDict()
      split_dict.add(UpperCAmelCase   )
      split_dict.add(UpperCAmelCase   )
      __lowerCAmelCase:  List[str]        = DatasetInfo(splits=UpperCAmelCase   )

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

       __lowerCAmelCase:  Tuple        = [
           {'filename': os.path.join(UpperCAmelCase     ,    'train'   )},
           {'filename': os.path.join(UpperCAmelCase     ,    'test'   ), 'skip': 1_0, 'take': 1_0},
       ]
       __lowerCAmelCase:  List[Any]        = Dataset(**reader.read_files(UpperCAmelCase     ,    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 _a					(			SCREAMING_SNAKE_CASE						:     List[str]       ,   SCREAMING_SNAKE_CASE						:     Dict       ,   SCREAMING_SNAKE_CASE						:     Any						)       ->       List[Any]:

 """simple docstring"""






 __lowerCAmelCase:  Tuple        = arrow_file
 with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  __lowerCAmelCase:  List[str]        = 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 _a					(			SCREAMING_SNAKE_CASE						:     Union[str, Any]       ,   SCREAMING_SNAKE_CASE						:     Any       ,   SCREAMING_SNAKE_CASE						:     Optional[int]						)       ->       List[Any]:

 """simple docstring"""






 __lowerCAmelCase:  Any        = arrow_file
 __lowerCAmelCase:  List[str]        = ArrowReader(''       ,   SCREAMING_SNAKE_CASE						)
 with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
  __lowerCAmelCase:  List[Any]        = reader.read_files([{'filename': filename}]       ,   in_memory=SCREAMING_SNAKE_CASE						)
 assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
 __lowerCAmelCase:  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 _a					(			)       ->       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%]"

 __lowerCAmelCase:  str        = 'train+test'
 assert ReadInstruction.from_spec(SCREAMING_SNAKE_CASE						).to_spec() == spec_train_test

 __lowerCAmelCase:  List[Any]        = 'train[2:10]'
 assert ReadInstruction.from_spec(SCREAMING_SNAKE_CASE						).to_spec() == spec_train_abs

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

 __lowerCAmelCase:  str        = 'train[:10%](closest)'
 assert ReadInstruction.from_spec(SCREAMING_SNAKE_CASE						).to_spec() == "train[:10%]"

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

 __lowerCAmelCase:  List[str]        = 'train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'
 assert ReadInstruction.from_spec(SCREAMING_SNAKE_CASE						).to_spec() == spec_train_test_pct_rounding







def _a					(			)       ->       Optional[int]:

 """simple docstring"""






 __lowerCAmelCase:  Optional[Any]        = 'dummy'
 __lowerCAmelCase:  List[str]        = [SplitInfo(name='train'       ,   num_examples=1_00						)]
 __lowerCAmelCase:  Dict        = 'train[:33%]'
 __lowerCAmelCase:  Union[str, Any]        = 'arrow'
 __lowerCAmelCase:  Optional[int]        = 'prefix'

 __lowerCAmelCase:  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}
 ]

 __lowerCAmelCase:  Tuple        = [SplitInfo(name='train'       ,   num_examples=1_00       ,   shard_lengths=[10] * 10						)]
 __lowerCAmelCase:  Union[str, Any]        = 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 _a					(			SCREAMING_SNAKE_CASE						:     Union[str, Any]       ,   SCREAMING_SNAKE_CASE						:     Optional[Any]						)       ->       List[str]:

 """simple docstring"""






 __lowerCAmelCase:  Dict        = [SplitInfo(name='train'       ,   num_examples=1_00						)]
 __lowerCAmelCase:  List[Any]        = 'train'
 __lowerCAmelCase:  Dict        = 'arrow'
 __lowerCAmelCase:  Tuple        = 'prefix_path'
 with pytest.raises(SCREAMING_SNAKE_CASE						):
  __lowerCAmelCase:  Optional[Any]        = make_file_instructions(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)








def _a					(			SCREAMING_SNAKE_CASE						:     str						)       ->       str:

 """simple docstring"""






 return "".join(chr(ord(SCREAMING_SNAKE_CASE						) + 32						) if 'A' <= char <= 'Z' else char for char in word						)


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

  testmod()





