


'''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					(					a				):



	def 					lowercase  (       self			,       snake_case__			,       snake_case__=False     ):
		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(snake_case__     )			,       'wb'     ).close()
		lowerCAmelCase       :     Optional[Any]   				=			pa.Table.from_pydict({'filename': [Path(snake_case__     ).name] * 100}     )
		if take == -1:
			lowerCAmelCase       :     str   				=			len(snake_case__     ) - skip
		if skip is not None and take is not None:
			lowerCAmelCase       :     Union[str, Any]   				=			pa_table.slice(snake_case__			,       snake_case__     )
		return pa_table



class 			lowerCAmelCase					(					a				):



	def 					lowercase  (       self     ):
		lowerCAmelCase       :     Optional[int]   				=			'my_name'
		lowerCAmelCase       :     Optional[Any]   				=			SplitInfo(name='train'			,       num_examples=100     )
		lowerCAmelCase       :     Union[str, Any]   				=			SplitInfo(name='test'			,       num_examples=100     )
		lowerCAmelCase       :     int   				=			[train_info, test_info]
		lowerCAmelCase       :     int   				=			SplitDict()
		split_dict.add(snake_case__     )
		split_dict.add(snake_case__     )
		lowerCAmelCase       :     Any   				=			DatasetInfo(splits=snake_case__     )

		with tempfile.TemporaryDirectory() as tmp_dir:
			lowerCAmelCase       :     Optional[int]   				=			ReaderTest(snake_case__			,       snake_case__     )

			lowerCAmelCase       :     Union[str, Any]   				=			'test[:33%]'
			lowerCAmelCase       :     Union[str, Any]   				=			Dataset(**reader.read(snake_case__			,       snake_case__			,       snake_case__     )     )
			self.assertEqual(dset['filename'][0]			,       f"{name}-test"     )
			self.assertEqual(dset.num_rows			,       33     )
			self.assertEqual(dset.num_columns			,       1     )

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



	def 					lowercase  (       self     ):
		lowerCAmelCase       :     str   				=			'my_name'
		lowerCAmelCase       :     List[Any]   				=			SplitInfo(name='train'			,       num_examples=1000			,       shard_lengths=[100] * 10     )
		lowerCAmelCase       :     Any   				=			[train_info]
		lowerCAmelCase       :     Dict   				=			SplitDict()
		split_dict.add(snake_case__     )
		lowerCAmelCase       :     Any   				=			DatasetInfo(splits=snake_case__     )

		with tempfile.TemporaryDirectory() as tmp_dir:
			lowerCAmelCase       :     Any   				=			ReaderTest(snake_case__			,       snake_case__     )

			lowerCAmelCase       :     int   				=			'train[:33%]'
			lowerCAmelCase       :     List[Any]   				=			Dataset(**reader.read(snake_case__			,       snake_case__			,       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 					lowercase  (       self     ):
		lowerCAmelCase       :     Dict   				=			SplitInfo(name='train'			,       num_examples=100     )
		lowerCAmelCase       :     Dict   				=			SplitInfo(name='test'			,       num_examples=100     )
		lowerCAmelCase       :     Optional[Any]   				=			SplitDict()
		split_dict.add(snake_case__     )
		split_dict.add(snake_case__     )
		lowerCAmelCase       :     str   				=			DatasetInfo(splits=snake_case__     )

		with tempfile.TemporaryDirectory() as tmp_dir:
			lowerCAmelCase       :     Any   				=			ReaderTest(snake_case__			,       snake_case__     )

			lowerCAmelCase       :     Any   				=			[
			    {'filename': os.path.join(snake_case__			,       'train'     )},
			    {'filename': os.path.join(snake_case__			,       'test'     ), 'skip': 10, 'take': 10},
			]
			lowerCAmelCase       :     str   				=			Dataset(**reader.read_files(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       __UpperCamelCase     (     _A     :					Tuple       , _A     :					int       , _A     :					Union[str, Any]					)     ->   List[str]:




	"""simple docstring"""





	lowerCAmelCase       :     Any   				=			arrow_file
	with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
		lowerCAmelCase       :     Any   				=			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       __UpperCamelCase     (     _A     :					Optional[int]       , _A     :					List[str]       , _A     :					Union[str, Any]					)     ->   List[str]:




	"""simple docstring"""





	lowerCAmelCase       :     Tuple   				=			arrow_file
	lowerCAmelCase       :     List[Any]   				=			ArrowReader(''       , _A					)
	with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
		lowerCAmelCase       :     str   				=			reader.read_files([{'filename': filename}]       , in_memory=_A					)
	assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
	lowerCAmelCase       :     Union[str, Any]   				=			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       __UpperCamelCase     (     )     ->   List[str]:




	"""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       :     Dict   				=			'train+test'
	assert ReadInstruction.from_spec(_A					).to_spec() == spec_train_test

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

	lowerCAmelCase       :     List[Any]   				=			'train[15%:-20%]'
	assert ReadInstruction.from_spec(_A					).to_spec() == spec_train_pct

	lowerCAmelCase       :     Tuple   				=			'train[:10%](closest)'
	assert ReadInstruction.from_spec(_A					).to_spec() == "train[:10%]"

	lowerCAmelCase       :     int   				=			'train[:10%](pct1_dropremainder)'
	assert ReadInstruction.from_spec(_A					).to_spec() == spec_train_pct_rounding

	lowerCAmelCase       :     Union[str, Any]   				=			'train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'
	assert ReadInstruction.from_spec(_A					).to_spec() == spec_train_test_pct_rounding

def       __UpperCamelCase     (     )     ->   List[Any]:




	"""simple docstring"""





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

	lowerCAmelCase       :     Optional[Any]   				=			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}
	]

	lowerCAmelCase       :     Dict   				=			[SplitInfo(name='train'       , num_examples=1_00       , shard_lengths=[10] * 10					)]
	lowerCAmelCase       :     Optional[int]   				=			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       __UpperCamelCase     (     _A     :					Any       , _A     :					Tuple					)     ->   List[Any]:




	"""simple docstring"""





	lowerCAmelCase       :     Any   				=			[SplitInfo(name='train'       , num_examples=1_00					)]
	lowerCAmelCase       :     Optional[int]   				=			'train'
	lowerCAmelCase       :     str   				=			'arrow'
	lowerCAmelCase       :     int   				=			'prefix_path'
	with pytest.raises(_A					):
		lowerCAmelCase       :     Any   				=			make_file_instructions(_A       , _A       , _A       , _A       , _A					)




'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


_lowerCAmelCase	:		Dict		  =						{}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase	:		Union[str, Any]		  =						['BarthezTokenizer']

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase	:		Union[str, Any]		  =						['BarthezTokenizerFast']


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_barthez import BarthezTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_barthez_fast import BarthezTokenizerFast

else:
				import sys

				_lowerCAmelCase	:		List[str]		  =						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
