

'''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    snake_case     (      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 							_UpperCamelCase				(   lowerCAmelCase__:					Union[str, Any]		,lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					str		,lowerCAmelCase__:					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 							_UpperCamelCase				(   )      -> 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 							_UpperCamelCase				(   lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					Dict		,lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					int		,lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					Optional[int]		,lowerCAmelCase__:					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 							_UpperCamelCase				(   )      -> 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 							_UpperCamelCase				(   lowerCAmelCase__:					List[str]   )      -> Dict:
							if pa.types.is_list(lowerCAmelCase__   ):
														return get_base_dtype(arr_type.value_type   )
							else:
														return arr_type




def 							_UpperCamelCase				(   lowerCAmelCase__:					Any		,lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					Dict		,lowerCAmelCase__:					List[Any]		,lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					List[Any]		,lowerCAmelCase__:					Union[str, Any]		,lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					Optional[Any]		,lowerCAmelCase__:					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 							_UpperCamelCase				(   lowerCAmelCase__:					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 							_UpperCamelCase				(   )      -> 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 							_UpperCamelCase				(   lowerCAmelCase__:					Any		,lowerCAmelCase__:					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 							_UpperCamelCase				(   )      -> 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()





