




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__				(   __SCREAMING_SNAKE_CASE ):






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase=False						)      ->   Any:




						"""simple docstring"""






						__magic_name__   , __magic_name__   , __magic_name__					:							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(lowerCamelCase						)				,     '''wb'''						).close()
						__magic_name__					:							List[Any]		   =							pa.Table.from_pydict({'''filename''': [Path(lowerCamelCase						).name] * 100}						)
						if take == -1:
											__magic_name__					:							Dict		   =							len(lowerCamelCase						) - skip
						if skip is not None and take is not None:
											__magic_name__					:							Tuple		   =							pa_table.slice(lowerCamelCase				,     lowerCamelCase						)
						return pa_table





class 		A__				(   __SCREAMING_SNAKE_CASE ):






	def  lowercase      (	self						)      ->   Dict:




						"""simple docstring"""






						__magic_name__					:							int		   =							'''my_name'''
						__magic_name__					:							str		   =							SplitInfo(name='''train'''				,     num_examples=100						)
						__magic_name__					:							str		   =							SplitInfo(name='''test'''				,     num_examples=100						)
						__magic_name__					:							Dict		   =							[train_info, test_info]
						__magic_name__					:							Union[str, Any]		   =							SplitDict()
						split_dict.add(lowerCamelCase						)
						split_dict.add(lowerCamelCase						)
						__magic_name__					:							Dict		   =							DatasetInfo(splits=lowerCamelCase						)

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

											__magic_name__					:							Optional[Any]		   =							'''test[:33%]'''
											__magic_name__					:							Any		   =							Dataset(**reader.read(lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase						)						)
											self.assertEqual(dset['''filename'''][0]				,     F'''{name}-test'''						)
											self.assertEqual(dset.num_rows				,     33						)
											self.assertEqual(dset.num_columns				,     1						)

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






	def  lowercase      (	self						)      ->   List[Any]:




						"""simple docstring"""






						__magic_name__					:							List[Any]		   =							'''my_name'''
						__magic_name__					:							int		   =							SplitInfo(name='''train'''				,     num_examples=1000				,     shard_lengths=[100] * 10						)
						__magic_name__					:							Tuple		   =							[train_info]
						__magic_name__					:							List[str]		   =							SplitDict()
						split_dict.add(lowerCamelCase						)
						__magic_name__					:							Tuple		   =							DatasetInfo(splits=lowerCamelCase						)

						with tempfile.TemporaryDirectory() as tmp_dir:
											__magic_name__					:							Tuple		   =							ReaderTest(lowerCamelCase				,     lowerCamelCase						)

											__magic_name__					:							Optional[Any]		   =							'''train[:33%]'''
											__magic_name__					:							List[Any]		   =							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				,     330						)
											self.assertEqual(dset.num_columns				,     1						)






	def  lowercase      (	self						)      ->   List[Any]:




						"""simple docstring"""






						__magic_name__					:							List[str]		   =							SplitInfo(name='''train'''				,     num_examples=100						)
						__magic_name__					:							Tuple		   =							SplitInfo(name='''test'''				,     num_examples=100						)
						__magic_name__					:							int		   =							SplitDict()
						split_dict.add(lowerCamelCase						)
						split_dict.add(lowerCamelCase						)
						__magic_name__					:							str		   =							DatasetInfo(splits=lowerCamelCase						)

						with tempfile.TemporaryDirectory() as tmp_dir:
											__magic_name__					:							Any		   =							ReaderTest(lowerCamelCase				,     lowerCamelCase						)

											__magic_name__					:							List[Any]		   =							[
											    {'''filename''': os.path.join(lowerCamelCase				,     '''train'''						)},
											    {'''filename''': os.path.join(lowerCamelCase				,     '''test'''						), '''skip''': 10, '''take''': 10},
											]
											__magic_name__					:							Optional[int]		   =							Dataset(**reader.read_files(lowerCamelCase				,     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  (	UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase       )  ->Dict:






					"""simple docstring"""






					__magic_name__					:							Optional[int]		   =							arrow_file
					with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
										__magic_name__					:							Optional[Any]		   =							ArrowReader.read_table(UpperCAmelCase,	in_memory=UpperCAmelCase       )
					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  (	UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase       )  ->Optional[int]:






					"""simple docstring"""






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






					"""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%]"

					__magic_name__					:							Union[str, Any]		   =							'''train+test'''
					assert ReadInstruction.from_spec(UpperCAmelCase       ).to_spec() == spec_train_test

					__magic_name__					:							Optional[Any]		   =							'''train[2:10]'''
					assert ReadInstruction.from_spec(UpperCAmelCase       ).to_spec() == spec_train_abs

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

					__magic_name__					:							Optional[Any]		   =							'''train[:10%](closest)'''
					assert ReadInstruction.from_spec(UpperCAmelCase       ).to_spec() == "train[:10%]"

					__magic_name__					:							Union[str, Any]		   =							'''train[:10%](pct1_dropremainder)'''
					assert ReadInstruction.from_spec(UpperCAmelCase       ).to_spec() == spec_train_pct_rounding

					__magic_name__					:							Optional[Any]		   =							'''train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'''
					assert ReadInstruction.from_spec(UpperCAmelCase       ).to_spec() == spec_train_test_pct_rounding







def  lowerCAmelCase  (	)  ->Optional[Any]:






					"""simple docstring"""






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

					__magic_name__					:							Optional[Any]		   =							make_file_instructions(UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase       )
					assert isinstance(UpperCAmelCase,	UpperCAmelCase       )
					assert file_instructions.num_examples == 33
					assert file_instructions.file_instructions == [
					    {"filename": os.path.join(UpperCAmelCase,	F'''{name}-train.arrow'''       ), "skip": 0, "take": 33}
					]

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







@pytest.mark.parametrize('''name, expected_exception''',	[(None, TypeError), ('''''', ValueError)]       )
def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase       )  ->List[str]:






					"""simple docstring"""






					__magic_name__					:							str		   =							[SplitInfo(name='''train''',	num_examples=100       )]
					__magic_name__					:							Union[str, Any]		   =							'''train'''
					__magic_name__					:							Tuple		   =							'''arrow'''
					__magic_name__					:							List[Any]		   =							'''prefix_path'''
					with pytest.raises(UpperCAmelCase       ):
										__magic_name__					:							int		   =							make_file_instructions(UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase       )









from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_		=							logging.get_logger(__name__)

lowercase_		=							{
    '''uw-madison/yoso-4096''': '''https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json''',
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}





class 		A__				(   __SCREAMING_SNAKE_CASE ):
	lowerCamelCase__		: Tuple				    ="yoso"






	def __init__(	self				,     lowerCamelCase=50265				,     lowerCamelCase=768				,     lowerCamelCase=12				,     lowerCamelCase=12				,     lowerCamelCase=3072				,     lowerCamelCase="gelu"				,     lowerCamelCase=0.1				,     lowerCamelCase=0.1				,     lowerCamelCase=4096				,     lowerCamelCase=1				,     lowerCamelCase=0.0_2				,     lowerCamelCase=1e-12				,     lowerCamelCase="absolute"				,     lowerCamelCase=True				,     lowerCamelCase=9				,     lowerCamelCase=64				,     lowerCamelCase=None				,     lowerCamelCase=True				,     lowerCamelCase=True				,     lowerCamelCase=1				,     lowerCamelCase=0				,     lowerCamelCase=2				,     **lowerCamelCase				,     )      ->   Tuple:




						"""simple docstring"""






						super().__init__(pad_token_id=lowerCamelCase				,     bos_token_id=lowerCamelCase				,     eos_token_id=lowerCamelCase				,     **lowerCamelCase						)

						__magic_name__					:							Union[str, Any]		   =							vocab_size
						__magic_name__					:							Union[str, Any]		   =							max_position_embeddings
						__magic_name__					:							Tuple		   =							hidden_size
						__magic_name__					:							Optional[Any]		   =							num_hidden_layers
						__magic_name__					:							Any		   =							num_attention_heads
						__magic_name__					:							List[str]		   =							intermediate_size
						__magic_name__					:							List[str]		   =							hidden_act
						__magic_name__					:							Tuple		   =							hidden_dropout_prob
						__magic_name__					:							str		   =							attention_probs_dropout_prob
						__magic_name__					:							str		   =							initializer_range
						__magic_name__					:							List[str]		   =							type_vocab_size
						__magic_name__					:							Dict		   =							layer_norm_eps
						__magic_name__					:							Any		   =							position_embedding_type
						__magic_name__					:							Optional[Any]		   =							use_expectation
						__magic_name__					:							Optional[Any]		   =							hash_code_len
						__magic_name__					:							Dict		   =							num_hash
						__magic_name__					:							str		   =							conv_window
						__magic_name__					:							Optional[Any]		   =							use_fast_hash
						__magic_name__					:							Union[str, Any]		   =							lsh_backward



