
'''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 	__lowercase				(  _lowercase    ):

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Union[str, Any]     =		pa.array(TypedSequence([1, 2, 3]      )      )
								self.assertEqual(arr.type			,   pa.intaa()      )

			def        UpperCAmelCase__ (self      ):
								with self.assertRaises(A      ):
													lowerCamelCase_					:      Optional[int]     =		pa.array(TypedSequence([1, 2, 3]      )			,   type=pa.intaa()      )

			def        UpperCAmelCase__ (self      ):
								with self.assertRaises(A      ):
													lowerCamelCase_					:      Tuple     =		pa.array(TypedSequence([1, 2, 3]			,   try_type=Value('''bool'''      )			,   type=Value('''int64'''      )      )      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Optional[Any]     =		pa.array(TypedSequence([1, 2, 3]			,   type=Value('''int32'''      )      )      )
								self.assertEqual(arr.type			,   pa.intaa()      )

			def        UpperCAmelCase__ (self      ):
								with self.assertRaises((TypeError, pa.lib.ArrowInvalid)      ):
													lowerCamelCase_					:      Optional[int]     =		pa.array(TypedSequence(['''foo''', '''bar''']			,   type=Value('''int64'''      )      )      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Optional[int]     =		pa.array(TypedSequence([1, 2, 3]			,   try_type=Value('''int32'''      )      )      )
								self.assertEqual(arr.type			,   pa.intaa()      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Optional[Any]     =		pa.array(TypedSequence(['''foo''', '''bar''']			,   try_type=Value('''int64'''      )      )      )
								self.assertEqual(arr.type			,   pa.string()      )

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

			def        UpperCAmelCase__ (self      ):
								with self.assertRaises((TypeError, pa.lib.ArrowInvalid)      ):
													lowerCamelCase_					:      Union[str, Any]     =		pa.array(TypedSequence(['''foo''', '''bar''']			,   type=ArrayaD((1, 3)			,   '''int64'''      )      )      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Union[str, Any]     =		pa.array(TypedSequence([[[1, 2, 3]]]			,   try_type=ArrayaD((1, 3)			,   '''int64'''      )      )      )
								self.assertEqual(arr.type			,   ArrayaDExtensionType((1, 3)			,   '''int64'''      )      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Dict     =		pa.array(TypedSequence(['''foo''', '''bar''']			,   try_type=ArrayaD((1, 3)			,   '''int64'''      )      )      )
								self.assertEqual(arr.type			,   pa.string()      )






			@require_pil
			def        UpperCAmelCase__ (self      ):
								import PIL.Image

								lowerCamelCase_					:      Optional[Any]     =		PIL.Image.fromarray(np.arange(1_0			,   dtype=np.uinta      ).reshape(2			,   5      )      )
								with patch(
								    '''datasets.arrow_writer.cast_to_python_objects'''			,   side_effect=A      ) as mock_cast_to_python_objects:
													lowerCamelCase_					:      Optional[Any]     =		pa.array(TypedSequence([{'''path''': None, '''bytes''': B'''image_bytes'''}, pil_image]			,   type=Image()      )      )
													lowerCamelCase_,      lowerCamelCase_					:      List[str]     =		mock_cast_to_python_objects.call_args_list[-1]
													self.assertIn('''optimize_list_casting'''			,   A      )
													self.assertFalse(kwargs['''optimize_list_casting''']      )




def lowercase_	(   _lowercase			,       _lowercase				)     ->							Dict:
					'''simple docstring'''

					lowerCamelCase_					:      str     =		pa.BufferReader(_lowercase				) if isinstance(_lowercase			,       pa.Buffer				) else pa.memory_map(_lowercase				)
					lowerCamelCase_					:      Any     =		pa.ipc.open_stream(_lowercase				)
					lowerCamelCase_					:      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, 10]				)
@pytest.mark.parametrize(
    '''fields'''			,       [None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]				)
def lowercase_	(   _lowercase			,       _lowercase				)     ->							Optional[int]:
					'''simple docstring'''

					lowerCamelCase_					:      int     =		pa.BufferOutputStream()
					lowerCamelCase_					:      Optional[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}				)
										lowerCamelCase_,      lowerCamelCase_					:      List[str]     =		writer.finalize()
					assert num_examples == 2
					assert num_bytes > 0
					if not fields:
										lowerCamelCase_					:      Optional[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				)




def lowercase_	(   )     ->							Dict:
					'''simple docstring'''

					lowerCamelCase_					:      Optional[int]     =		pa.BufferOutputStream()
					lowerCamelCase_					:      str     =		Features({'''labels''': ClassLabel(names=['''neg''', '''pos''']				)}				)
					with ArrowWriter(stream=_lowercase			,       features=_lowercase				) as writer:
										writer.write({'''labels''': 0}				)
										writer.write({'''labels''': 1}				)
										lowerCamelCase_,      lowerCamelCase_					:      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
					lowerCamelCase_					:      Optional[int]     =		pa.BufferReader(output.getvalue()				)
					lowerCamelCase_					:      Dict     =		pa.ipc.open_stream(_lowercase				)
					lowerCamelCase_					:      pa.Table     =		f.read_all()
					lowerCamelCase_					:      Union[str, Any]     =		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, 10]				)
def lowercase_	(   _lowercase				)     ->							Optional[int]:
					'''simple docstring'''

					lowerCamelCase_					:      Union[str, 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, 2]				)
															lowerCamelCase_,      lowerCamelCase_					:      List[Any]     =		writer.finalize()




@pytest.mark.parametrize('''writer_batch_size'''			,       [None, 2, 10]				)
def lowercase_	(   _lowercase				)     ->							int:
					'''simple docstring'''

					lowerCamelCase_					:      Tuple     =		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=10				)
															writer.write({'''col_1''': '''bar''', '''col_2''': 2}			,       key=10				)
															lowerCamelCase_,      lowerCamelCase_					:      Optional[int]     =		writer.finalize()




@pytest.mark.parametrize('''writer_batch_size'''			,       [None, 2, 10]				)
def lowercase_	(   _lowercase				)     ->							Any:
					'''simple docstring'''

					lowerCamelCase_					:      Union[str, Any]     =		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				)
										lowerCamelCase_,      lowerCamelCase_					:      List[str]     =		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_	(   _lowercase			,       _lowercase				)     ->							Tuple:
					'''simple docstring'''

					lowerCamelCase_					:      Union[str, Any]     =		pa.BufferOutputStream()
					lowerCamelCase_					:      str     =		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''': []}				)
										lowerCamelCase_,      lowerCamelCase_					:      List[Any]     =		writer.finalize()
					assert num_examples == 2
					assert num_bytes > 0
					if not fields:
										lowerCamelCase_					:      Optional[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, 10]				)
@pytest.mark.parametrize(
    '''fields'''			,       [None, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}, {'''col_1''': pa.string(), '''col_2''': pa.intaa()}]				)
def lowercase_	(   _lowercase			,       _lowercase				)     ->							str:
					'''simple docstring'''

					lowerCamelCase_					:      Any     =		pa.BufferOutputStream()
					lowerCamelCase_					:      Tuple     =		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]}				)				)
										lowerCamelCase_,      lowerCamelCase_					:      List[str]     =		writer.finalize()
					assert num_examples == 2
					assert num_bytes > 0
					if not fields:
										lowerCamelCase_					:      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				)




@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_	(   _lowercase			,       _lowercase				)     ->							int:
					'''simple docstring'''

					lowerCamelCase_					:      Any     =		pa.BufferOutputStream()
					lowerCamelCase_					:      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]}				)				)
										lowerCamelCase_,      lowerCamelCase_					:      Optional[Any]     =		writer.finalize()
					assert num_examples == 2
					assert num_bytes > 0
					if not fields:
										lowerCamelCase_					:      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				)




def lowercase_	(   )     ->							Tuple:
					'''simple docstring'''

					with tempfile.TemporaryDirectory() as tmp_dir:
										lowerCamelCase_					:      Optional[int]     =		{'''col_1''': pa.string(), '''col_2''': pa.intaa()}
										lowerCamelCase_					:      Tuple     =		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]}				)
															lowerCamelCase_,      lowerCamelCase_					:      Optional[int]     =		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 lowercase_	(   _lowercase				)     ->							Optional[int]:
					'''simple docstring'''

					if pa.types.is_list(_lowercase				):
										return get_base_dtype(arr_type.value_type				)
					else:
										return arr_type




def lowercase_	(   _lowercase			,       _lowercase				)     ->							Dict:
					'''simple docstring'''

					if isinstance(lst[0]			,       _lowercase				):
										change_first_primitive_element_in_list(lst[0]			,       _lowercase				)
					else:
										lowerCamelCase_					:      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 lowercase_	(   _lowercase			,       _lowercase			,       _lowercase				)     ->							Tuple:
					'''simple docstring'''

					lowerCamelCase_					:      Optional[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 lowercase_	(   _lowercase			,       _lowercase			,       _lowercase				)     ->							str:
					'''simple docstring'''

					lowerCamelCase_					:      Tuple     =		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
										lowerCamelCase_					:      int     =		copy.deepcopy(_lowercase				)
										lowerCamelCase_					:      Tuple     =		np.iinfo(expected_dtype.to_pandas_dtype()				).max + 1
										change_first_primitive_element_in_list(_lowercase			,       _lowercase				)
										lowerCamelCase_					:      List[str]     =		pa.array(OptimizedTypedSequence(_lowercase			,       col=_lowercase				)				)
										assert get_base_dtype(arr.type				) == pa.intaa()




@pytest.mark.parametrize('''raise_exception'''			,       [False, True]				)
def lowercase_	(   _lowercase			,       _lowercase				)     ->							str:
					'''simple docstring'''

					lowerCamelCase_					:      Optional[Any]     =		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 lowercase_	(   _lowercase				)     ->							Optional[Any]:
					'''simple docstring'''

					lowerCamelCase_					:      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}				)
										lowerCamelCase_,      lowerCamelCase_					:      Optional[Any]     =		writer.finalize()
					assert num_examples == 2
					assert num_bytes > 0
					assert mockfs.exists(_lowercase				)




def lowercase_	(   )     ->							Union[str, Any]:
					'''simple docstring'''

					lowerCamelCase_					:      List[Any]     =		pa.BufferOutputStream()
					with ParquetWriter(stream=_lowercase				) as writer:
										writer.write({'''col_1''': '''foo''', '''col_2''': 1}				)
										writer.write({'''col_1''': '''bar''', '''col_2''': 2}				)
										lowerCamelCase_,      lowerCamelCase_					:      Tuple     =		writer.finalize()
					assert num_examples == 2
					assert num_bytes > 0
					lowerCamelCase_					:      List[Any]     =		pa.BufferReader(output.getvalue()				)
					lowerCamelCase_					:      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 lowercase_	(   _lowercase			,       _lowercase				)     ->							int:
					'''simple docstring'''

					import PIL.Image

					lowerCamelCase_					:      Optional[Any]     =		str(tmp_path / '''test_image_rgb.jpg'''				)
					PIL.Image.fromarray(np.zeros((5, 5)			,       dtype=np.uinta				)				).save(_lowercase			,       format='''png'''				)
					lowerCamelCase_					:      List[str]     =		pa.BufferOutputStream()
					with ParquetWriter(
					    stream=_lowercase			,       features=Features({'''image''': Image()}				)			,       embed_local_files=_lowercase				) as writer:
										writer.write({'''image''': image_path}				)
										writer.finalize()
					lowerCamelCase_					:      Any     =		pa.BufferReader(output.getvalue()				)
					lowerCamelCase_					:      pa.Table     =		pq.read_table(_lowercase				)
					lowerCamelCase_					:      List[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 lowercase_	(   )     ->							Dict:
					'''simple docstring'''

					lowerCamelCase_					:      List[Any]     =		pa.schema([pa.field('''col_1'''			,       pa.string()			,       nullable=_lowercase				)]				)
					lowerCamelCase_					:      List[str]     =		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 lowercase_	(   _lowercase = 1_000				)     ->							int:
					'''simple docstring'''

					lowerCamelCase_					:      Any     =		-1
					lowerCamelCase_					:      Optional[Any]     =		0
					for a in range(1			,       n // 3				):
										# Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
										lowerCamelCase_					:      Any     =		(n * n - 2 * a * n) // (2 * n - 2 * a)
										lowerCamelCase_					:      int     =		n - a - b
										if c * c == (a * a + b * b):
															lowerCamelCase_					:      int     =		a * b * c
															if candidate >= product:
																				lowerCamelCase_					:      Any     =		candidate
					return product


if __name__ == "__main__":
					print(f'{solution() = }')


