



'''simple docstring'''




import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest

from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
from datasets.features import ArrayaD, ClassLabel, Features, Image, Value
from datasets.features.features import ArrayaDExtensionType, cast_to_python_objects
from datasets.keyhash import DuplicatedKeysError, InvalidKeyError

from .utils import require_pil

class 			UpperCamelCase_ (							__magic_name__			):





	def  _lowercase(  self    )			->			Optional[Any]:
								UpperCAmelCase     :		Tuple							     =		pa.array(TypedSequence([1, 2, 3]    )    )
								self.assertEqual(arr.type		,		pa.intaa()    )





	def  _lowercase(  self    )			->			Dict:
								with self.assertRaises(A    ):
															UpperCAmelCase     :		Any							     =		pa.array(TypedSequence([1, 2, 3]    )		,		type=pa.intaa()    )





	def  _lowercase(  self    )			->			Optional[int]:
								with self.assertRaises(A    ):
															UpperCAmelCase     :		Dict							     =		pa.array(TypedSequence([1, 2, 3]		,		try_type=Value("""bool"""    )		,		type=Value("""int64"""    )    )    )





	def  _lowercase(  self    )			->			List[Any]:
								UpperCAmelCase     :		Optional[Any]							     =		pa.array(TypedSequence([1, 2, 3]		,		type=Value("""int32"""    )    )    )
								self.assertEqual(arr.type		,		pa.intaa()    )





	def  _lowercase(  self    )			->			Union[str, Any]:
								with self.assertRaises((TypeError, pa.lib.ArrowInvalid)    ):
															UpperCAmelCase     :		int							     =		pa.array(TypedSequence(["""foo""", """bar"""]		,		type=Value("""int64"""    )    )    )





	def  _lowercase(  self    )			->			List[Any]:
								UpperCAmelCase     :		Union[str, Any]							     =		pa.array(TypedSequence([1, 2, 3]		,		try_type=Value("""int32"""    )    )    )
								self.assertEqual(arr.type		,		pa.intaa()    )





	def  _lowercase(  self    )			->			str:
								UpperCAmelCase     :		Any							     =		pa.array(TypedSequence(["""foo""", """bar"""]		,		try_type=Value("""int64"""    )    )    )
								self.assertEqual(arr.type		,		pa.string()    )





	def  _lowercase(  self    )			->			Optional[int]:
								UpperCAmelCase     :		str							     =		pa.array(TypedSequence([[[1, 2, 3]]]		,		type=ArrayaD((1, 3)		,		"""int64"""    )    )    )
								self.assertEqual(arr.type		,		ArrayaDExtensionType((1, 3)		,		"""int64"""    )    )





	def  _lowercase(  self    )			->			List[str]:
								with self.assertRaises((TypeError, pa.lib.ArrowInvalid)    ):
															UpperCAmelCase     :		int							     =		pa.array(TypedSequence(["""foo""", """bar"""]		,		type=ArrayaD((1, 3)		,		"""int64"""    )    )    )





	def  _lowercase(  self    )			->			Optional[Any]:
								UpperCAmelCase     :		Optional[Any]							     =		pa.array(TypedSequence([[[1, 2, 3]]]		,		try_type=ArrayaD((1, 3)		,		"""int64"""    )    )    )
								self.assertEqual(arr.type		,		ArrayaDExtensionType((1, 3)		,		"""int64"""    )    )





	def  _lowercase(  self    )			->			str:
								UpperCAmelCase     :		Dict							     =		pa.array(TypedSequence(["""foo""", """bar"""]		,		try_type=ArrayaD((1, 3)		,		"""int64"""    )    )    )
								self.assertEqual(arr.type		,		pa.string()    )






	@require_pil
	def  _lowercase(  self    )			->			List[Any]:
								import PIL.Image

								UpperCAmelCase     :		List[str]							     =		PIL.Image.fromarray(np.arange(10		,		dtype=np.uinta    ).reshape(2		,		5    )    )
								with patch(
								    """datasets.arrow_writer.cast_to_python_objects"""		,		side_effect=A    ) as mock_cast_to_python_objects:
															UpperCAmelCase     :		int							     =		pa.array(TypedSequence([{"""path""": None, """bytes""": B"""image_bytes"""}, pil_image]		,		type=Image()    )    )
															UpperCAmelCase     ,     UpperCAmelCase     :		Union[str, Any]							     =		mock_cast_to_python_objects.call_args_list[-1]
															self.assertIn("""optimize_list_casting"""		,		A    )
															self.assertFalse(kwargs["""optimize_list_casting"""]    )




def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			Optional[Any]:
							UpperCAmelCase     :		Union[str, Any]							     =		pa.BufferReader(_lowercase		) if isinstance(_lowercase	,				pa.Buffer		) else pa.memory_map(_lowercase		)
							UpperCAmelCase     :		int							     =		pa.ipc.open_stream(_lowercase		)
							UpperCAmelCase     :		pa.Table							     =		f.read_all()
							assert len(pa_table.to_batches()		) == expected_num_chunks
							assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}
							del pa_table



@pytest.mark.parametrize("""writer_batch_size"""	,				[None, 1, 1_0]		)
@pytest.mark.parametrize(
    """fields"""	,				[None, {"""col_1""": pa.string(), """col_2""": pa.intaa()}, {"""col_1""": pa.string(), """col_2""": pa.intaa()}]		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			Optional[int]:
							UpperCAmelCase     :		Union[str, Any]							     =		pa.BufferOutputStream()
							UpperCAmelCase     :		int							     =		pa.schema(_lowercase		) if fields else None
							with ArrowWriter(stream=_lowercase	,				schema=_lowercase	,				writer_batch_size=_lowercase		) as writer:
														writer.write({"""col_1""": """foo""", """col_2""": 1}		)
														writer.write({"""col_1""": """bar""", """col_2""": 2}		)
														UpperCAmelCase     ,     UpperCAmelCase     :		List[Any]							     =		writer.finalize()
							assert num_examples == 2
							assert num_bytes > 0
							if not fields:
														UpperCAmelCase     :		Tuple							     =		{"""col_1""": pa.string(), """col_2""": pa.intaa()}
							assert writer._schema == pa.schema(_lowercase	,				metadata=writer._schema.metadata		)
							_check_output(output.getvalue()	,				expected_num_chunks=num_examples if writer_batch_size == 1 else 1		)



def       __lowerCamelCase  (					)      ->			List[Any]:
							UpperCAmelCase     :		Optional[Any]							     =		pa.BufferOutputStream()
							UpperCAmelCase     :		List[str]							     =		Features({"""labels""": ClassLabel(names=["""neg""", """pos"""]		)}		)
							with ArrowWriter(stream=_lowercase	,				features=_lowercase		) as writer:
														writer.write({"""labels""": 0}		)
														writer.write({"""labels""": 1}		)
														UpperCAmelCase     ,     UpperCAmelCase     :		Union[str, Any]							     =		writer.finalize()
							assert num_examples == 2
							assert num_bytes > 0
							assert writer._schema == features.arrow_schema
							assert writer._schema.metadata == features.arrow_schema.metadata
							UpperCAmelCase     :		List[Any]							     =		pa.BufferReader(output.getvalue()		)
							UpperCAmelCase     :		Union[str, Any]							     =		pa.ipc.open_stream(_lowercase		)
							UpperCAmelCase     :		pa.Table							     =		f.read_all()
							UpperCAmelCase     :		int							     =		pa_table.schema
							assert pa_table.num_rows == 2
							assert schema == features.arrow_schema
							assert schema.metadata == features.arrow_schema.metadata
							assert features == Features.from_arrow_schema(_lowercase		)



@pytest.mark.parametrize("""writer_batch_size"""	,				[None, 1, 1_0]		)
def       __lowerCamelCase  (					_lowercase		)      ->			List[Any]:
							UpperCAmelCase     :		int							     =		pa.BufferOutputStream()
							with ArrowWriter(
							    stream=_lowercase	,				writer_batch_size=_lowercase	,				hash_salt="""split_name"""	,				check_duplicates=_lowercase	,				) as writer:
														with pytest.raises(_lowercase		):
																					writer.write({"""col_1""": """foo""", """col_2""": 1}	,				key=[1, 2]		)
																					UpperCAmelCase     ,     UpperCAmelCase     :		str							     =		writer.finalize()



@pytest.mark.parametrize("""writer_batch_size"""	,				[None, 2, 1_0]		)
def       __lowerCamelCase  (					_lowercase		)      ->			Optional[int]:
							UpperCAmelCase     :		Any							     =		pa.BufferOutputStream()
							with ArrowWriter(
							    stream=_lowercase	,				writer_batch_size=_lowercase	,				hash_salt="""split_name"""	,				check_duplicates=_lowercase	,				) as writer:
														with pytest.raises(_lowercase		):
																					writer.write({"""col_1""": """foo""", """col_2""": 1}	,				key=1_0		)
																					writer.write({"""col_1""": """bar""", """col_2""": 2}	,				key=1_0		)
																					UpperCAmelCase     ,     UpperCAmelCase     :		Dict							     =		writer.finalize()



@pytest.mark.parametrize("""writer_batch_size"""	,				[None, 2, 1_0]		)
def       __lowerCamelCase  (					_lowercase		)      ->			Dict:
							UpperCAmelCase     :		Optional[int]							     =		pa.BufferOutputStream()
							with ArrowWriter(
							    stream=_lowercase	,				writer_batch_size=_lowercase	,				hash_salt="""split_name"""	,				check_duplicates=_lowercase	,				) as writer:
														writer.write({"""col_1""": """foo""", """col_2""": 1}	,				key=1		)
														writer.write({"""col_1""": """bar""", """col_2""": 2}	,				key=2		)
														UpperCAmelCase     ,     UpperCAmelCase     :		List[Any]							     =		writer.finalize()
							assert num_examples == 2
							assert num_bytes > 0
							_check_output(output.getvalue()	,				expected_num_chunks=num_examples if writer_batch_size == 1 else 1		)



@pytest.mark.parametrize("""writer_batch_size"""	,				[None, 1, 1_0]		)
@pytest.mark.parametrize(
    """fields"""	,				[None, {"""col_1""": pa.string(), """col_2""": pa.intaa()}, {"""col_1""": pa.string(), """col_2""": pa.intaa()}]		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			str:
							UpperCAmelCase     :		List[str]							     =		pa.BufferOutputStream()
							UpperCAmelCase     :		Dict							     =		pa.schema(_lowercase		) if fields else None
							with ArrowWriter(stream=_lowercase	,				schema=_lowercase	,				writer_batch_size=_lowercase		) as writer:
														writer.write_batch({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}		)
														writer.write_batch({"""col_1""": [], """col_2""": []}		)
														UpperCAmelCase     ,     UpperCAmelCase     :		List[str]							     =		writer.finalize()
							assert num_examples == 2
							assert num_bytes > 0
							if not fields:
														UpperCAmelCase     :		int							     =		{"""col_1""": pa.string(), """col_2""": pa.intaa()}
							assert writer._schema == pa.schema(_lowercase	,				metadata=writer._schema.metadata		)
							_check_output(output.getvalue()	,				expected_num_chunks=num_examples if writer_batch_size == 1 else 1		)



@pytest.mark.parametrize("""writer_batch_size"""	,				[None, 1, 1_0]		)
@pytest.mark.parametrize(
    """fields"""	,				[None, {"""col_1""": pa.string(), """col_2""": pa.intaa()}, {"""col_1""": pa.string(), """col_2""": pa.intaa()}]		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			Tuple:
							UpperCAmelCase     :		int							     =		pa.BufferOutputStream()
							UpperCAmelCase     :		Any							     =		pa.schema(_lowercase		) if fields else None
							with ArrowWriter(stream=_lowercase	,				schema=_lowercase	,				writer_batch_size=_lowercase		) as writer:
														writer.write_table(pa.Table.from_pydict({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}		)		)
														UpperCAmelCase     ,     UpperCAmelCase     :		Tuple							     =		writer.finalize()
							assert num_examples == 2
							assert num_bytes > 0
							if not fields:
														UpperCAmelCase     :		Union[str, Any]							     =		{"""col_1""": pa.string(), """col_2""": pa.intaa()}
							assert writer._schema == pa.schema(_lowercase	,				metadata=writer._schema.metadata		)
							_check_output(output.getvalue()	,				expected_num_chunks=num_examples if writer_batch_size == 1 else 1		)



@pytest.mark.parametrize("""writer_batch_size"""	,				[None, 1, 1_0]		)
@pytest.mark.parametrize(
    """fields"""	,				[None, {"""col_1""": pa.string(), """col_2""": pa.intaa()}, {"""col_1""": pa.string(), """col_2""": pa.intaa()}]		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			List[Any]:
							UpperCAmelCase     :		Dict							     =		pa.BufferOutputStream()
							UpperCAmelCase     :		Optional[int]							     =		pa.schema(_lowercase		) if fields else None
							with ArrowWriter(stream=_lowercase	,				schema=_lowercase	,				writer_batch_size=_lowercase		) as writer:
														writer.write_row(pa.Table.from_pydict({"""col_1""": ["""foo"""], """col_2""": [1]}		)		)
														writer.write_row(pa.Table.from_pydict({"""col_1""": ["""bar"""], """col_2""": [2]}		)		)
														UpperCAmelCase     ,     UpperCAmelCase     :		Any							     =		writer.finalize()
							assert num_examples == 2
							assert num_bytes > 0
							if not fields:
														UpperCAmelCase     :		int							     =		{"""col_1""": pa.string(), """col_2""": pa.intaa()}
							assert writer._schema == pa.schema(_lowercase	,				metadata=writer._schema.metadata		)
							_check_output(output.getvalue()	,				expected_num_chunks=num_examples if writer_batch_size == 1 else 1		)



def       __lowerCamelCase  (					)      ->			List[Any]:
							with tempfile.TemporaryDirectory() as tmp_dir:
														UpperCAmelCase     :		Union[str, Any]							     =		{"""col_1""": pa.string(), """col_2""": pa.intaa()}
														UpperCAmelCase     :		Any							     =		os.path.join(_lowercase	,				"""test.arrow"""		)
														with ArrowWriter(path=_lowercase	,				schema=pa.schema(_lowercase		)		) as writer:
																					writer.write_batch({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}		)
																					UpperCAmelCase     ,     UpperCAmelCase     :		List[Any]							     =		writer.finalize()
														assert num_examples == 2
														assert num_bytes > 0
														assert writer._schema == pa.schema(_lowercase	,				metadata=writer._schema.metadata		)
														_check_output(_lowercase	,				1		)



def       __lowerCamelCase  (					_lowercase		)      ->			Optional[Any]:
							if pa.types.is_list(_lowercase		):
														return get_base_dtype(arr_type.value_type		)
							else:
														return arr_type



def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			Tuple:
							if isinstance(lst[0]	,				_lowercase		):
														change_first_primitive_element_in_list(lst[0]	,				_lowercase		)
							else:
														UpperCAmelCase     :		Dict							     =		value



@pytest.mark.parametrize("""optimized_int_type, expected_dtype"""	,				[(None, pa.intaa()), (Value("""int32"""		), pa.intaa())]		)
@pytest.mark.parametrize("""sequence"""	,				[[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			Optional[Any]:
							UpperCAmelCase     :		Union[str, Any]							     =		pa.array(TypedSequence(_lowercase	,				optimized_int_type=_lowercase		)		)
							assert get_base_dtype(arr.type		) == expected_dtype



@pytest.mark.parametrize(
    """col, expected_dtype"""	,				[
        ("""attention_mask""", pa.inta()),
        ("""special_tokens_mask""", pa.inta()),
        ("""token_type_ids""", pa.inta()),
        ("""input_ids""", pa.intaa()),
        ("""other""", pa.intaa()),
    ]	,				)
@pytest.mark.parametrize("""sequence"""	,				[[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			Dict:
							# in range
							UpperCAmelCase     :		Optional[int]							     =		pa.array(OptimizedTypedSequence(_lowercase	,				col=_lowercase		)		)
							assert get_base_dtype(arr.type		) == expected_dtype

							# not in range
							if col != "other":
														# avoids errors due to in-place modifications
														UpperCAmelCase     :		int							     =		copy.deepcopy(_lowercase		)
														UpperCAmelCase     :		Tuple							     =		np.iinfo(expected_dtype.to_pandas_dtype()		).max + 1
														change_first_primitive_element_in_list(_lowercase	,				_lowercase		)
														UpperCAmelCase     :		Any							     =		pa.array(OptimizedTypedSequence(_lowercase	,				col=_lowercase		)		)
														assert get_base_dtype(arr.type		) == pa.intaa()



@pytest.mark.parametrize("""raise_exception"""	,				[False, True]		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			Dict:
							UpperCAmelCase     :		List[str]							     =		str(tmp_path / """dataset-train.arrow"""		)
							try:
														with ArrowWriter(path=_lowercase		) as writer:
																					if raise_exception:
																												raise pa.lib.ArrowInvalid()
																					else:
																												writer.stream.close()
							except pa.lib.ArrowInvalid:
														pass
							finally:
														assert writer.stream.closed



def       __lowerCamelCase  (					_lowercase		)      ->			int:
							UpperCAmelCase     :		Optional[Any]							     =		"""mock://dataset-train.arrow"""
							with ArrowWriter(path=_lowercase	,				storage_options=mockfs.storage_options		) as writer:
														assert isinstance(writer._fs	,				type(_lowercase		)		)
														assert writer._fs.storage_options == mockfs.storage_options
														writer.write({"""col_1""": """foo""", """col_2""": 1}		)
														writer.write({"""col_1""": """bar""", """col_2""": 2}		)
														UpperCAmelCase     ,     UpperCAmelCase     :		str							     =		writer.finalize()
							assert num_examples == 2
							assert num_bytes > 0
							assert mockfs.exists(_lowercase		)



def       __lowerCamelCase  (					)      ->			Optional[int]:
							UpperCAmelCase     :		str							     =		pa.BufferOutputStream()
							with ParquetWriter(stream=_lowercase		) as writer:
														writer.write({"""col_1""": """foo""", """col_2""": 1}		)
														writer.write({"""col_1""": """bar""", """col_2""": 2}		)
														UpperCAmelCase     ,     UpperCAmelCase     :		List[Any]							     =		writer.finalize()
							assert num_examples == 2
							assert num_bytes > 0
							UpperCAmelCase     :		str							     =		pa.BufferReader(output.getvalue()		)
							UpperCAmelCase     :		pa.Table							     =		pq.read_table(_lowercase		)
							assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}



@require_pil
@pytest.mark.parametrize("""embed_local_files"""	,				[False, True]		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			Dict:
							import PIL.Image

							UpperCAmelCase     :		Union[str, Any]							     =		str(tmp_path / """test_image_rgb.jpg"""		)
							PIL.Image.fromarray(np.zeros((5, 5)	,				dtype=np.uinta		)		).save(_lowercase	,				format="""png"""		)
							UpperCAmelCase     :		Optional[int]							     =		pa.BufferOutputStream()
							with ParquetWriter(
							    stream=_lowercase	,				features=Features({"""image""": Image()}		)	,				embed_local_files=_lowercase		) as writer:
														writer.write({"""image""": image_path}		)
														writer.finalize()
							UpperCAmelCase     :		Any							     =		pa.BufferReader(output.getvalue()		)
							UpperCAmelCase     :		pa.Table							     =		pq.read_table(_lowercase		)
							UpperCAmelCase     :		Union[str, Any]							     =		pa_table.to_pydict()
							if embed_local_files:
														assert isinstance(out["""image"""][0]["""path"""]	,				_lowercase		)
														with open(_lowercase	,				"""rb"""		) as f:
																					assert out["image"][0]["bytes"] == f.read()
							else:
														assert out["image"][0]["path"] == image_path
														assert out["image"][0]["bytes"] is None



def       __lowerCamelCase  (					)      ->			List[Any]:
							UpperCAmelCase     :		List[str]							     =		pa.schema([pa.field("""col_1"""	,				pa.string()	,				nullable=_lowercase		)]		)
							UpperCAmelCase     :		Union[str, Any]							     =		pa.BufferOutputStream()
							with ArrowWriter(stream=_lowercase		) as writer:
														writer._build_writer(inferred_schema=_lowercase		)
														assert writer._schema == pa.schema([pa.field("""col_1"""	,				pa.string()		)]		)






'''simple docstring'''




def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			int:
							if b == 0:
														return 1
							if (b % 2) == 0:
														return actual_power(_lowercase	,				int(b / 2		)		) * actual_power(_lowercase	,				int(b / 2		)		)
							else:
														return a * actual_power(_lowercase	,				int(b / 2		)		) * actual_power(_lowercase	,				int(b / 2		)		)



def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			float:
							if b < 0:
														return 1 / actual_power(_lowercase	,				_lowercase		)
							return actual_power(_lowercase	,				_lowercase		)


if __name__ == "__main__":
							print(power(-2, -3))

