from typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCamelCase__       							=      {'tokenization_bert_japanese': ['BertJapaneseTokenizer', 'CharacterTokenizer', 'MecabTokenizer']}


if TYPE_CHECKING:
      from .tokenization_bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer

else:
      import sys

      UpperCamelCase__       							=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




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							(       UpperCAmelCase_  ):


   def     lowercase_   (self  :		Dict ,						__UpperCAmelCase  :		Optional[int] ,						__UpperCAmelCase  :		List[str]=False	)		->       Union[str, Any]:
         """simple docstring"""



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





class   A							(       UpperCAmelCase_  ):


   def     lowercase_   (self  :		Tuple	)		->       Tuple:
         """simple docstring"""



         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(__UpperCAmelCase	)
         split_dict.add(__UpperCAmelCase	)
         UpperCAmelCase__			=						DatasetInfo(splits=__UpperCAmelCase	)

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

               UpperCAmelCase__			=						"test[:33%]"
               UpperCAmelCase__			=						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	)

               UpperCAmelCase__			=						["train", "test[:33%]"]
               UpperCAmelCase__			=						[Split.TRAIN, ReadInstruction.from_spec("test[:33%]"	)]
               for instructions in [instructionsa, instructionsa]:
                     UpperCAmelCase__			=						[reader.read(__UpperCAmelCase ,						__UpperCAmelCase ,						__UpperCAmelCase	) for instr in instructions]
                     UpperCAmelCase__	,   UpperCAmelCase__			=						(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     lowercase_   (self  :		Any	)		->       Any:
         """simple docstring"""



         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(__UpperCAmelCase	)
         UpperCAmelCase__			=						DatasetInfo(splits=__UpperCAmelCase	)

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

               UpperCAmelCase__			=						"train[:33%]"
               UpperCAmelCase__			=						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     lowercase_   (self  :		Dict	)		->       Dict:
         """simple docstring"""



         UpperCAmelCase__			=						SplitInfo(name="train" ,						num_examples=1_0_0	)
         UpperCAmelCase__			=						SplitInfo(name="test" ,						num_examples=1_0_0	)
         UpperCAmelCase__			=						SplitDict()
         split_dict.add(__UpperCAmelCase	)
         split_dict.add(__UpperCAmelCase	)
         UpperCAmelCase__			=						DatasetInfo(splits=__UpperCAmelCase	)

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

               UpperCAmelCase__			=						[
                   {"filename": os.path.join(__UpperCAmelCase ,						"train"	)},
                   {"filename": os.path.join(__UpperCAmelCase ,						"test"	), "skip": 1_0, "take": 1_0},
               ]
               UpperCAmelCase__			=						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      lowerCAmelCase_				(  __A,						__A,						__A							)  ->       List[Any]:







      '''simple docstring'''


      UpperCAmelCase__			=						arrow_file
      with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
            UpperCAmelCase__			=						ArrowReader.read_table(__A,						in_memory=__A							)
      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_				(  __A,						__A,						__A							)  ->       Tuple:







      '''simple docstring'''


      UpperCAmelCase__			=						arrow_file
      UpperCAmelCase__			=						ArrowReader("",						__A							)
      with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
            UpperCAmelCase__			=						reader.read_files([{"filename": filename}],						in_memory=__A							)
      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      lowerCAmelCase_				(  )  ->       Any:







      '''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(__A							).to_spec() == spec_train_test

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

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

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

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

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




def      lowerCAmelCase_				(  )  ->       int:







      '''simple docstring'''


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

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

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







@pytest.mark.parametrize("name, expected_exception",						[(None, TypeError), ("", ValueError)]							)
def      lowerCAmelCase_				(  __A,						__A							)  ->       Optional[Any]:







      '''simple docstring'''


      UpperCAmelCase__			=						[SplitInfo(name="train",						num_examples=100							)]
      UpperCAmelCase__			=						"train"
      UpperCAmelCase__			=						"arrow"
      UpperCAmelCase__			=						"prefix_path"
      with pytest.raises(__A							):
            UpperCAmelCase__			=						make_file_instructions(__A,						__A,						__A,						__A,						__A							)



