






'''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 							__magic_name__     (	UpperCAmelCase_				):







	"""simple docstring"""



	def        lowerCamelCase__		(							self       )						->  Union[str, Any]:
							lowercase_      :   Any        =			pa.array(TypedSequence([1, 2, 3]       )       )
							self.assertEqual(arr.type  ,      pa.intaa()       )
	def        lowerCamelCase__		(							self       )						->  Union[str, Any]:
							with self.assertRaises(_lowercase       ):
													lowercase_      :   str        =			pa.array(TypedSequence([1, 2, 3]       )  ,      type=pa.intaa()       )
	def        lowerCamelCase__		(							self       )						->  str:
							with self.assertRaises(_lowercase       ):
													lowercase_      :   Optional[int]        =			pa.array(TypedSequence([1, 2, 3]  ,      try_type=Value('bool'       )  ,      type=Value('int64'       )       )       )
	def        lowerCamelCase__		(							self       )						->  str:
							lowercase_      :   Any        =			pa.array(TypedSequence([1, 2, 3]  ,      type=Value('int32'       )       )       )
							self.assertEqual(arr.type  ,      pa.intaa()       )
	def        lowerCamelCase__		(							self       )						->  Union[str, Any]:
							with self.assertRaises((TypeError, pa.lib.ArrowInvalid)       ):
													lowercase_      :   Union[str, Any]        =			pa.array(TypedSequence(['foo', 'bar']  ,      type=Value('int64'       )       )       )
	def        lowerCamelCase__		(							self       )						->  Any:
							lowercase_      :   Dict        =			pa.array(TypedSequence([1, 2, 3]  ,      try_type=Value('int32'       )       )       )
							self.assertEqual(arr.type  ,      pa.intaa()       )
	def        lowerCamelCase__		(							self       )						->  Tuple:
							lowercase_      :   List[Any]        =			pa.array(TypedSequence(['foo', 'bar']  ,      try_type=Value('int64'       )       )       )
							self.assertEqual(arr.type  ,      pa.string()       )
	def        lowerCamelCase__		(							self       )						->  Optional[int]:
							lowercase_      :   Dict        =			pa.array(TypedSequence([[[1, 2, 3]]]  ,      type=ArrayaD((1, 3)  ,      'int64'       )       )       )
							self.assertEqual(arr.type  ,      ArrayaDExtensionType((1, 3)  ,      'int64'       )       )
	def        lowerCamelCase__		(							self       )						->  int:
							with self.assertRaises((TypeError, pa.lib.ArrowInvalid)       ):
													lowercase_      :   List[Any]        =			pa.array(TypedSequence(['foo', 'bar']  ,      type=ArrayaD((1, 3)  ,      'int64'       )       )       )
	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							lowercase_      :   Tuple        =			pa.array(TypedSequence([[[1, 2, 3]]]  ,      try_type=ArrayaD((1, 3)  ,      'int64'       )       )       )
							self.assertEqual(arr.type  ,      ArrayaDExtensionType((1, 3)  ,      'int64'       )       )
	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							lowercase_      :   Optional[Any]        =			pa.array(TypedSequence(['foo', 'bar']  ,      try_type=ArrayaD((1, 3)  ,      'int64'       )       )       )
							self.assertEqual(arr.type  ,      pa.string()       )







	@require_pil
	def        lowerCamelCase__		(							self       )						->  Tuple:
							import PIL.Image

							lowercase_      :   Optional[Any]        =			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:
													lowercase_      :   List[Any]        =			pa.array(TypedSequence([{'path': None, 'bytes': B'image_bytes'}, pil_image]  ,      type=Image()       )       )
													lowercase_  ,      lowercase_      :   Any        =			mock_cast_to_python_objects.call_args_list[-1]
													self.assertIn('optimize_list_casting'  ,      _lowercase       )
													self.assertFalse(kwargs['optimize_list_casting']       )






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	int							)			->			int:





						"""simple docstring"""
						lowercase_      :   Union[str, Any]        =			pa.BufferReader(a							) if isinstance(a						,			pa.Buffer							) else pa.memory_map(a							)
						lowercase_      :   Tuple        =			pa.ipc.open_stream(a							)
						lowercase_      :   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 	_UpperCAmelCase    (  a		:	str						,			a		:	int							)			->			str:





						"""simple docstring"""
						lowercase_      :   str        =			pa.BufferOutputStream()
						lowercase_      :   Union[str, Any]        =			pa.schema(a							) if fields else None
						with ArrowWriter(stream=a						,			schema=a						,			writer_batch_size=a							) as writer:
												writer.write({'col_1': 'foo', 'col_2': 1}							)
												writer.write({'col_1': 'bar', 'col_2': 2}							)
												lowercase_  ,      lowercase_      :   str        =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												lowercase_      :   str        =			{'col_1': pa.string(), 'col_2': pa.intaa()}
						assert writer._schema == pa.schema(a						,			metadata=writer._schema.metadata							)
						_check_output(output.getvalue()						,			expected_num_chunks=num_examples if writer_batch_size == 1 else 1							)






def 	_UpperCAmelCase    (  )			->			Optional[Any]:





						"""simple docstring"""
						lowercase_      :   Any        =			pa.BufferOutputStream()
						lowercase_      :   Dict        =			Features({'labels': ClassLabel(names=['neg', 'pos']							)}							)
						with ArrowWriter(stream=a						,			features=a							) as writer:
												writer.write({'labels': 0}							)
												writer.write({'labels': 1}							)
												lowercase_  ,      lowercase_      :   Optional[int]        =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert writer._schema == features.arrow_schema
						assert writer._schema.metadata == features.arrow_schema.metadata
						lowercase_      :   Dict        =			pa.BufferReader(output.getvalue()							)
						lowercase_      :   str        =			pa.ipc.open_stream(a							)
						lowercase_      :   pa.Table        =			f.read_all()
						lowercase_      :   Optional[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(a							)






@pytest.mark.parametrize('writer_batch_size'						,			[None, 1, 1_0]							)
def 	_UpperCAmelCase    (  a		:	int							)			->			List[str]:





						"""simple docstring"""
						lowercase_      :   Union[str, Any]        =			pa.BufferOutputStream()
						with ArrowWriter(
						    stream=a						,			writer_batch_size=a						,			hash_salt='split_name'						,			check_duplicates=a						,			) as writer:
												with pytest.raises(a							):
																		writer.write({'col_1': 'foo', 'col_2': 1}						,			key=[1, 2]							)
																		lowercase_  ,      lowercase_      :   Optional[int]        =			writer.finalize()






@pytest.mark.parametrize('writer_batch_size'						,			[None, 2, 1_0]							)
def 	_UpperCAmelCase    (  a		:	Tuple							)			->			str:





						"""simple docstring"""
						lowercase_      :   List[str]        =			pa.BufferOutputStream()
						with ArrowWriter(
						    stream=a						,			writer_batch_size=a						,			hash_salt='split_name'						,			check_duplicates=a						,			) as writer:
												with pytest.raises(a							):
																		writer.write({'col_1': 'foo', 'col_2': 1}						,			key=1_0							)
																		writer.write({'col_1': 'bar', 'col_2': 2}						,			key=1_0							)
																		lowercase_  ,      lowercase_      :   Optional[Any]        =			writer.finalize()






@pytest.mark.parametrize('writer_batch_size'						,			[None, 2, 1_0]							)
def 	_UpperCAmelCase    (  a		:	Union[str, Any]							)			->			Any:





						"""simple docstring"""
						lowercase_      :   int        =			pa.BufferOutputStream()
						with ArrowWriter(
						    stream=a						,			writer_batch_size=a						,			hash_salt='split_name'						,			check_duplicates=a						,			) as writer:
												writer.write({'col_1': 'foo', 'col_2': 1}						,			key=1							)
												writer.write({'col_1': 'bar', 'col_2': 2}						,			key=2							)
												lowercase_  ,      lowercase_      :   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 	_UpperCAmelCase    (  a		:	Optional[Any]						,			a		:	Optional[Any]							)			->			int:





						"""simple docstring"""
						lowercase_      :   List[str]        =			pa.BufferOutputStream()
						lowercase_      :   Dict        =			pa.schema(a							) if fields else None
						with ArrowWriter(stream=a						,			schema=a						,			writer_batch_size=a							) as writer:
												writer.write_batch({'col_1': ['foo', 'bar'], 'col_2': [1, 2]}							)
												writer.write_batch({'col_1': [], 'col_2': []}							)
												lowercase_  ,      lowercase_      :   str        =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												lowercase_      :   str        =			{'col_1': pa.string(), 'col_2': pa.intaa()}
						assert writer._schema == pa.schema(a						,			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 	_UpperCAmelCase    (  a		:	Dict						,			a		:	str							)			->			Union[str, Any]:





						"""simple docstring"""
						lowercase_      :   Optional[Any]        =			pa.BufferOutputStream()
						lowercase_      :   List[Any]        =			pa.schema(a							) if fields else None
						with ArrowWriter(stream=a						,			schema=a						,			writer_batch_size=a							) as writer:
												writer.write_table(pa.Table.from_pydict({'col_1': ['foo', 'bar'], 'col_2': [1, 2]}							)							)
												lowercase_  ,      lowercase_      :   int        =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												lowercase_      :   Union[str, Any]        =			{'col_1': pa.string(), 'col_2': pa.intaa()}
						assert writer._schema == pa.schema(a						,			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 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	int							)			->			Optional[Any]:





						"""simple docstring"""
						lowercase_      :   Tuple        =			pa.BufferOutputStream()
						lowercase_      :   Tuple        =			pa.schema(a							) if fields else None
						with ArrowWriter(stream=a						,			schema=a						,			writer_batch_size=a							) 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]}							)							)
												lowercase_  ,      lowercase_      :   int        =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												lowercase_      :   Dict        =			{'col_1': pa.string(), 'col_2': pa.intaa()}
						assert writer._schema == pa.schema(a						,			metadata=writer._schema.metadata							)
						_check_output(output.getvalue()						,			expected_num_chunks=num_examples if writer_batch_size == 1 else 1							)






def 	_UpperCAmelCase    (  )			->			Optional[int]:





						"""simple docstring"""
						with tempfile.TemporaryDirectory() as tmp_dir:
												lowercase_      :   Optional[int]        =			{'col_1': pa.string(), 'col_2': pa.intaa()}
												lowercase_      :   Dict        =			os.path.join(a						,			'test.arrow'							)
												with ArrowWriter(path=a						,			schema=pa.schema(a							)							) as writer:
																		writer.write_batch({'col_1': ['foo', 'bar'], 'col_2': [1, 2]}							)
																		lowercase_  ,      lowercase_      :   str        =			writer.finalize()
												assert num_examples == 2
												assert num_bytes > 0
												assert writer._schema == pa.schema(a						,			metadata=writer._schema.metadata							)
												_check_output(a						,			1							)






def 	_UpperCAmelCase    (  a		:	Optional[int]							)			->			int:





						"""simple docstring"""
						if pa.types.is_list(a							):
												return get_base_dtype(arr_type.value_type							)
						else:
												return arr_type






def 	_UpperCAmelCase    (  a		:	List[str]						,			a		:	str							)			->			Any:





						"""simple docstring"""
						if isinstance(lst[0]						,			a							):
												change_first_primitive_element_in_list(lst[0]						,			a							)
						else:
												lowercase_      :   str        =			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    (  a		:	Dict						,			a		:	Tuple						,			a		:	Dict							)			->			int:





						"""simple docstring"""
						lowercase_      :   Any        =			pa.array(TypedSequence(a						,			optimized_int_type=a							)							)
						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    (  a		:	Optional[Any]						,			a		:	List[Any]						,			a		:	List[Any]							)			->			Optional[Any]:





						"""simple docstring"""
						# in range
						lowercase_      :   int        =			pa.array(OptimizedTypedSequence(a						,			col=a							)							)
						assert get_base_dtype(arr.type							) == expected_dtype

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






@pytest.mark.parametrize('raise_exception'						,			[False, True]							)
def 	_UpperCAmelCase    (  a		:	int						,			a		:	Optional[int]							)			->			Union[str, Any]:





						"""simple docstring"""
						lowercase_      :   Any        =			str(tmp_path / 'dataset-train.arrow'							)
						try:
												with ArrowWriter(path=a							) 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    (  a		:	Dict							)			->			List[Any]:





						"""simple docstring"""
						lowercase_      :   Tuple        =			'mock://dataset-train.arrow'
						with ArrowWriter(path=a						,			storage_options=mockfs.storage_options							) as writer:
												assert isinstance(writer._fs						,			type(a							)							)
												assert writer._fs.storage_options == mockfs.storage_options
												writer.write({'col_1': 'foo', 'col_2': 1}							)
												writer.write({'col_1': 'bar', 'col_2': 2}							)
												lowercase_  ,      lowercase_      :   Optional[Any]        =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert mockfs.exists(a							)






def 	_UpperCAmelCase    (  )			->			Optional[int]:





						"""simple docstring"""
						lowercase_      :   Tuple        =			pa.BufferOutputStream()
						with ParquetWriter(stream=a							) as writer:
												writer.write({'col_1': 'foo', 'col_2': 1}							)
												writer.write({'col_1': 'bar', 'col_2': 2}							)
												lowercase_  ,      lowercase_      :   str        =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						lowercase_      :   Union[str, Any]        =			pa.BufferReader(output.getvalue()							)
						lowercase_      :   pa.Table        =			pq.read_table(a							)
						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    (  a		:	Optional[int]						,			a		:	Optional[Any]							)			->			Dict:





						"""simple docstring"""
						import PIL.Image

						lowercase_      :   str        =			str(tmp_path / 'test_image_rgb.jpg'							)
						PIL.Image.fromarray(np.zeros((5, 5)						,			dtype=np.uinta							)							).save(a						,			format='png'							)
						lowercase_      :   Optional[Any]        =			pa.BufferOutputStream()
						with ParquetWriter(
						    stream=a						,			features=Features({'image': Image()}							)						,			embed_local_files=a							) as writer:
												writer.write({'image': image_path}							)
												writer.finalize()
						lowercase_      :   Optional[int]        =			pa.BufferReader(output.getvalue()							)
						lowercase_      :   pa.Table        =			pq.read_table(a							)
						lowercase_      :   List[Any]        =			pa_table.to_pydict()
						if embed_local_files:
												assert isinstance(out['image'][0]['path']						,			a							)
												with open(a						,			'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    (  )			->			Any:





						"""simple docstring"""
						lowercase_      :   int        =			pa.schema([pa.field('col_1'						,			pa.string()						,			nullable=a							)]							)
						lowercase_      :   List[str]        =			pa.BufferOutputStream()
						with ArrowWriter(stream=a							) as writer:
												writer._build_writer(inferred_schema=a							)
												assert writer._schema == pa.schema([pa.field('col_1'						,			pa.string()							)]							)








'''simple docstring'''

def 	_UpperCAmelCase    (  a		:	int						,			a		:	int							)			->			int:





						"""simple docstring"""
						while second != 0:
												lowercase_      :   Any        =			first & second
												first ^= second
												lowercase_      :   List[str]        =			c << 1
						return first


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						A:      Union[str, Any]  				=				int(input("Enter the first number: ").strip())
						A:      Union[str, Any]  				=				int(input("Enter the second number: ").strip())
						print(f"""{add(first, second) = }""")
