


"""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    lowerCAmelCase      (   lowercase_       ):




		'''simple docstring'''







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







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







		def 				__A		(      self							)	->				Union[str, Any]:
								with self.assertRaises(_lowercase							):
														SCREAMING_SNAKE_CASE						=   pa.array(TypedSequence([1, 2, 3]		,			try_type=Value('bool'							)		,			type=Value('int64'							)							)							)







		def 				__A		(      self							)	->				Tuple:
								SCREAMING_SNAKE_CASE						=   pa.array(TypedSequence([1, 2, 3]		,			type=Value('int32'							)							)							)
								self.assertEqual(arr.type		,			pa.intaa()							)







		def 				__A		(      self							)	->				Any:
								with self.assertRaises((TypeError, pa.lib.ArrowInvalid)							):
														SCREAMING_SNAKE_CASE						=   pa.array(TypedSequence(['foo', 'bar']		,			type=Value('int64'							)							)							)







		def 				__A		(      self							)	->				str:
								SCREAMING_SNAKE_CASE						=   pa.array(TypedSequence([1, 2, 3]		,			try_type=Value('int32'							)							)							)
								self.assertEqual(arr.type		,			pa.intaa()							)







		def 				__A		(      self							)	->				Union[str, Any]:
								SCREAMING_SNAKE_CASE						=   pa.array(TypedSequence(['foo', 'bar']		,			try_type=Value('int64'							)							)							)
								self.assertEqual(arr.type		,			pa.string()							)







		def 				__A		(      self							)	->				Union[str, Any]:
								SCREAMING_SNAKE_CASE						=   pa.array(TypedSequence([[[1, 2, 3]]]		,			type=ArrayaD((1, 3)		,			'int64'							)							)							)
								self.assertEqual(arr.type		,			ArrayaDExtensionType((1, 3)		,			'int64'							)							)







		def 				__A		(      self							)	->				int:
								with self.assertRaises((TypeError, pa.lib.ArrowInvalid)							):
														SCREAMING_SNAKE_CASE						=   pa.array(TypedSequence(['foo', 'bar']		,			type=ArrayaD((1, 3)		,			'int64'							)							)							)







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







		def 				__A		(      self							)	->				Optional[Any]:
								SCREAMING_SNAKE_CASE						=   pa.array(TypedSequence(['foo', 'bar']		,			try_type=ArrayaD((1, 3)		,			'int64'							)							)							)
								self.assertEqual(arr.type		,			pa.string()							)







		@require_pil
		def 				__A		(      self							)	->				Optional[int]:
								import PIL.Image

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





def        lowercase     (SCREAMING_SNAKE_CASE_						:							Union[str, Any]					,     SCREAMING_SNAKE_CASE_						:							int    )  ->		Union[str, Any]:
						SCREAMING_SNAKE_CASE						=   pa.BufferReader(lowerCAmelCase__    ) if isinstance(lowerCAmelCase__					,     pa.Buffer    ) else pa.memory_map(lowerCAmelCase__    )
						SCREAMING_SNAKE_CASE						=   pa.ipc.open_stream(lowerCAmelCase__    )
						SCREAMING_SNAKE_CASE						=   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, 10]    )
@pytest.mark.parametrize(
    'fields'					,     [None, {'col_1': pa.string(), 'col_2': pa.intaa()}, {'col_1': pa.string(), 'col_2': pa.intaa()}]    )
def        lowercase     (SCREAMING_SNAKE_CASE_						:							str					,     SCREAMING_SNAKE_CASE_						:							Optional[Any]    )  ->		Any:
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						SCREAMING_SNAKE_CASE						=   pa.schema(lowerCAmelCase__    ) if fields else None
						with ArrowWriter(stream=lowerCAmelCase__					,     schema=lowerCAmelCase__					,     writer_batch_size=lowerCAmelCase__    ) as writer:
												writer.write({'col_1': 'foo', 'col_2': 1}    )
												writer.write({'col_1': 'bar', 'col_2': 2}    )
												SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												SCREAMING_SNAKE_CASE						=   {'col_1': pa.string(), 'col_2': pa.intaa()}
						assert writer._schema == pa.schema(lowerCAmelCase__					,     metadata=writer._schema.metadata    )
						_check_output(output.getvalue()					,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1    )


def        lowercase     ()  ->		Dict:
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						SCREAMING_SNAKE_CASE						=   Features({'labels': ClassLabel(names=['neg', 'pos']    )}    )
						with ArrowWriter(stream=lowerCAmelCase__					,     features=lowerCAmelCase__    ) as writer:
												writer.write({'labels': 0}    )
												writer.write({'labels': 1}    )
												SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert writer._schema == features.arrow_schema
						assert writer._schema.metadata == features.arrow_schema.metadata
						SCREAMING_SNAKE_CASE						=   pa.BufferReader(output.getvalue()    )
						SCREAMING_SNAKE_CASE						=   pa.ipc.open_stream(lowerCAmelCase__    )
						SCREAMING_SNAKE_CASE						=   f.read_all()
						SCREAMING_SNAKE_CASE						=   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(lowerCAmelCase__    )


@pytest.mark.parametrize('writer_batch_size'					,     [None, 1, 10]    )
def        lowercase     (SCREAMING_SNAKE_CASE_						:							str    )  ->		Optional[Any]:
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						with ArrowWriter(
						    stream=lowerCAmelCase__					,     writer_batch_size=lowerCAmelCase__					,     hash_salt='split_name'					,     check_duplicates=lowerCAmelCase__					,     ) as writer:
												with pytest.raises(lowerCAmelCase__    ):
																		writer.write({'col_1': 'foo', 'col_2': 1}					,     key=[1, 2]    )
																		SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   writer.finalize()


@pytest.mark.parametrize('writer_batch_size'					,     [None, 2, 10]    )
def        lowercase     (SCREAMING_SNAKE_CASE_						:							Any    )  ->		int:
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						with ArrowWriter(
						    stream=lowerCAmelCase__					,     writer_batch_size=lowerCAmelCase__					,     hash_salt='split_name'					,     check_duplicates=lowerCAmelCase__					,     ) as writer:
												with pytest.raises(lowerCAmelCase__    ):
																		writer.write({'col_1': 'foo', 'col_2': 1}					,     key=10    )
																		writer.write({'col_1': 'bar', 'col_2': 2}					,     key=10    )
																		SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   writer.finalize()


@pytest.mark.parametrize('writer_batch_size'					,     [None, 2, 10]    )
def        lowercase     (SCREAMING_SNAKE_CASE_						:							Optional[Any]    )  ->		Union[str, Any]:
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						with ArrowWriter(
						    stream=lowerCAmelCase__					,     writer_batch_size=lowerCAmelCase__					,     hash_salt='split_name'					,     check_duplicates=lowerCAmelCase__					,     ) as writer:
												writer.write({'col_1': 'foo', 'col_2': 1}					,     key=1    )
												writer.write({'col_1': 'bar', 'col_2': 2}					,     key=2    )
												SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   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, 10]    )
@pytest.mark.parametrize(
    'fields'					,     [None, {'col_1': pa.string(), 'col_2': pa.intaa()}, {'col_1': pa.string(), 'col_2': pa.intaa()}]    )
def        lowercase     (SCREAMING_SNAKE_CASE_						:							Dict					,     SCREAMING_SNAKE_CASE_						:							Union[str, Any]    )  ->		str:
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						SCREAMING_SNAKE_CASE						=   pa.schema(lowerCAmelCase__    ) if fields else None
						with ArrowWriter(stream=lowerCAmelCase__					,     schema=lowerCAmelCase__					,     writer_batch_size=lowerCAmelCase__    ) as writer:
												writer.write_batch({'col_1': ['foo', 'bar'], 'col_2': [1, 2]}    )
												writer.write_batch({'col_1': [], 'col_2': []}    )
												SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												SCREAMING_SNAKE_CASE						=   {'col_1': pa.string(), 'col_2': pa.intaa()}
						assert writer._schema == pa.schema(lowerCAmelCase__					,     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, 10]    )
@pytest.mark.parametrize(
    'fields'					,     [None, {'col_1': pa.string(), 'col_2': pa.intaa()}, {'col_1': pa.string(), 'col_2': pa.intaa()}]    )
def        lowercase     (SCREAMING_SNAKE_CASE_						:							int					,     SCREAMING_SNAKE_CASE_						:							List[Any]    )  ->		int:
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						SCREAMING_SNAKE_CASE						=   pa.schema(lowerCAmelCase__    ) if fields else None
						with ArrowWriter(stream=lowerCAmelCase__					,     schema=lowerCAmelCase__					,     writer_batch_size=lowerCAmelCase__    ) as writer:
												writer.write_table(pa.Table.from_pydict({'col_1': ['foo', 'bar'], 'col_2': [1, 2]}    )    )
												SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												SCREAMING_SNAKE_CASE						=   {'col_1': pa.string(), 'col_2': pa.intaa()}
						assert writer._schema == pa.schema(lowerCAmelCase__					,     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, 10]    )
@pytest.mark.parametrize(
    'fields'					,     [None, {'col_1': pa.string(), 'col_2': pa.intaa()}, {'col_1': pa.string(), 'col_2': pa.intaa()}]    )
def        lowercase     (SCREAMING_SNAKE_CASE_						:							Optional[int]					,     SCREAMING_SNAKE_CASE_						:							Optional[int]    )  ->		Tuple:
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						SCREAMING_SNAKE_CASE						=   pa.schema(lowerCAmelCase__    ) if fields else None
						with ArrowWriter(stream=lowerCAmelCase__					,     schema=lowerCAmelCase__					,     writer_batch_size=lowerCAmelCase__    ) 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]}    )    )
												SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												SCREAMING_SNAKE_CASE						=   {'col_1': pa.string(), 'col_2': pa.intaa()}
						assert writer._schema == pa.schema(lowerCAmelCase__					,     metadata=writer._schema.metadata    )
						_check_output(output.getvalue()					,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1    )


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


def        lowercase     (SCREAMING_SNAKE_CASE_						:							List[str]    )  ->		Dict:
						if pa.types.is_list(lowerCAmelCase__    ):
												return get_base_dtype(arr_type.value_type    )
						else:
												return arr_type


def        lowercase     (SCREAMING_SNAKE_CASE_						:							Any					,     SCREAMING_SNAKE_CASE_						:							Any    )  ->		Tuple:
						if isinstance(lst[0]					,     lowerCAmelCase__    ):
												change_first_primitive_element_in_list(lst[0]					,     lowerCAmelCase__    )
						else:
												SCREAMING_SNAKE_CASE						=   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        lowercase     (SCREAMING_SNAKE_CASE_						:							Dict					,     SCREAMING_SNAKE_CASE_						:							List[Any]					,     SCREAMING_SNAKE_CASE_						:							Union[str, Any]    )  ->		int:
						SCREAMING_SNAKE_CASE						=   pa.array(TypedSequence(lowerCAmelCase__					,     optimized_int_type=lowerCAmelCase__    )    )
						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        lowercase     (SCREAMING_SNAKE_CASE_						:							List[Any]					,     SCREAMING_SNAKE_CASE_						:							Union[str, Any]					,     SCREAMING_SNAKE_CASE_						:							Dict    )  ->		Any:
						# in range
						SCREAMING_SNAKE_CASE						=   pa.array(OptimizedTypedSequence(lowerCAmelCase__					,     col=lowerCAmelCase__    )    )
						assert get_base_dtype(arr.type    ) == expected_dtype

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


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


def        lowercase     (SCREAMING_SNAKE_CASE_						:							Union[str, Any]    )  ->		str:
						SCREAMING_SNAKE_CASE						=   'mock://dataset-train.arrow'
						with ArrowWriter(path=lowerCAmelCase__					,     storage_options=mockfs.storage_options    ) as writer:
												assert isinstance(writer._fs					,     type(lowerCAmelCase__    )    )
												assert writer._fs.storage_options == mockfs.storage_options
												writer.write({'col_1': 'foo', 'col_2': 1}    )
												writer.write({'col_1': 'bar', 'col_2': 2}    )
												SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert mockfs.exists(lowerCAmelCase__    )


def        lowercase     ()  ->		Union[str, Any]:
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						with ParquetWriter(stream=lowerCAmelCase__    ) as writer:
												writer.write({'col_1': 'foo', 'col_2': 1}    )
												writer.write({'col_1': 'bar', 'col_2': 2}    )
												SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE						=   writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						SCREAMING_SNAKE_CASE						=   pa.BufferReader(output.getvalue()    )
						SCREAMING_SNAKE_CASE						=   pq.read_table(lowerCAmelCase__    )
						assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}


@require_pil
@pytest.mark.parametrize('embed_local_files'					,     [False, True]    )
def        lowercase     (SCREAMING_SNAKE_CASE_						:							Any					,     SCREAMING_SNAKE_CASE_						:							Union[str, Any]    )  ->		str:
						import PIL.Image

						SCREAMING_SNAKE_CASE						=   str(tmp_path / 'test_image_rgb.jpg'    )
						PIL.Image.fromarray(np.zeros((5, 5)					,     dtype=np.uinta    )    ).save(lowerCAmelCase__					,     format='png'    )
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						with ParquetWriter(
						    stream=lowerCAmelCase__					,     features=Features({'image': Image()}    )					,     embed_local_files=lowerCAmelCase__    ) as writer:
												writer.write({'image': image_path}    )
												writer.finalize()
						SCREAMING_SNAKE_CASE						=   pa.BufferReader(output.getvalue()    )
						SCREAMING_SNAKE_CASE						=   pq.read_table(lowerCAmelCase__    )
						SCREAMING_SNAKE_CASE						=   pa_table.to_pydict()
						if embed_local_files:
												assert isinstance(out['image'][0]['path']					,     lowerCAmelCase__    )
												with open(lowerCAmelCase__					,     '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        lowercase     ()  ->		Dict:
						SCREAMING_SNAKE_CASE						=   pa.schema([pa.field('col_1'					,     pa.string()					,     nullable=lowerCAmelCase__    )]    )
						SCREAMING_SNAKE_CASE						=   pa.BufferOutputStream()
						with ArrowWriter(stream=lowerCAmelCase__    ) as writer:
												writer._build_writer(inferred_schema=lowerCAmelCase__    )
												assert writer._schema == pa.schema([pa.field('col_1'					,     pa.string()    )]    )





'''simple docstring'''

def 							_UpperCamelCase				(   lowerCAmelCase__:					int		,lowerCAmelCase__:					int   )      -> str:
							if a < 0 or b < 0:
														raise ValueError('the value of both inputs must be positive'   )
							SCREAMING_SNAKE_CASE_				=				str(bin(lowerCAmelCase__   )   )[2:]  # remove the leading "0b"
							SCREAMING_SNAKE_CASE_				=				str(bin(lowerCAmelCase__   )   )[2:]
							SCREAMING_SNAKE_CASE_				=				max(len(lowerCAmelCase__   )		,len(lowerCAmelCase__   )   )
							return "0b" + "".join(
							    str(int('1' in (char_a, char_b)   )   )
							    for char_a, char_b in zip(a_binary.zfill(lowerCAmelCase__   )		,b_binary.zfill(lowerCAmelCase__   )   )   )


if __name__ == "__main__":
							import doctest

							doctest.testmod()





