





'''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    ( lowerCAmelCase__  ):







	'''simple docstring'''

	def   _UpperCAmelCase       (self	)							->							List[str]:







				'''simple docstring'''





				__lowercase			  =							pa.array(TypedSequence([1, 2, 3]	)	)
				self.assertEqual(arr.type       ,pa.intaa()	)


	def   _UpperCAmelCase       (self	)							->							Any:







				'''simple docstring'''





				with self.assertRaises(_lowerCamelCase	):
							__lowercase			  =							pa.array(TypedSequence([1, 2, 3]	)       ,type=pa.intaa()	)


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







				'''simple docstring'''





				with self.assertRaises(_lowerCamelCase	):
							__lowercase			  =							pa.array(TypedSequence([1, 2, 3]       ,try_type=Value('''bool'''	)       ,type=Value('''int64'''	)	)	)


	def   _UpperCAmelCase       (self	)							->							Dict:







				'''simple docstring'''





				__lowercase			  =							pa.array(TypedSequence([1, 2, 3]       ,type=Value('''int32'''	)	)	)
				self.assertEqual(arr.type       ,pa.intaa()	)


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







				'''simple docstring'''





				with self.assertRaises((TypeError, pa.lib.ArrowInvalid)	):
							__lowercase			  =							pa.array(TypedSequence(['''foo''', '''bar''']       ,type=Value('''int64'''	)	)	)


	def   _UpperCAmelCase       (self	)							->							Dict:







				'''simple docstring'''





				__lowercase			  =							pa.array(TypedSequence([1, 2, 3]       ,try_type=Value('''int32'''	)	)	)
				self.assertEqual(arr.type       ,pa.intaa()	)


	def   _UpperCAmelCase       (self	)							->							Tuple:







				'''simple docstring'''





				__lowercase			  =							pa.array(TypedSequence(['''foo''', '''bar''']       ,try_type=Value('''int64'''	)	)	)
				self.assertEqual(arr.type       ,pa.string()	)


	def   _UpperCAmelCase       (self	)							->							List[Any]:







				'''simple docstring'''





				__lowercase			  =							pa.array(TypedSequence([[[1, 2, 3]]]       ,type=ArrayaD((1, 3)       ,'''int64'''	)	)	)
				self.assertEqual(arr.type       ,ArrayaDExtensionType((1, 3)       ,'''int64'''	)	)


	def   _UpperCAmelCase       (self	)							->							str:







				'''simple docstring'''





				with self.assertRaises((TypeError, pa.lib.ArrowInvalid)	):
							__lowercase			  =							pa.array(TypedSequence(['''foo''', '''bar''']       ,type=ArrayaD((1, 3)       ,'''int64'''	)	)	)


	def   _UpperCAmelCase       (self	)							->							str:







				'''simple docstring'''





				__lowercase			  =							pa.array(TypedSequence([[[1, 2, 3]]]       ,try_type=ArrayaD((1, 3)       ,'''int64'''	)	)	)
				self.assertEqual(arr.type       ,ArrayaDExtensionType((1, 3)       ,'''int64'''	)	)


	def   _UpperCAmelCase       (self	)							->							List[str]:







				'''simple docstring'''





				__lowercase			  =							pa.array(TypedSequence(['''foo''', '''bar''']       ,try_type=ArrayaD((1, 3)       ,'''int64'''	)	)	)
				self.assertEqual(arr.type       ,pa.string()	)


	@require_pil
	def   _UpperCAmelCase       (self	)							->							Dict:







				'''simple docstring'''





				import PIL.Image

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





def 				_lowerCAmelCase  (			lowerCamelCase_     :					List[str]						,    lowerCamelCase_     :					int			):
			__lowercase			  =							pa.BufferReader(lowerCamelCase_			) if isinstance(lowerCamelCase_						,    pa.Buffer			) else pa.memory_map(lowerCamelCase_			)
			__lowercase			  =							pa.ipc.open_stream(lowerCamelCase_			)
			__lowercase			  =							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  (			lowerCamelCase_     :					Dict						,    lowerCamelCase_     :					Union[str, Any]			):
			__lowercase			  =							pa.BufferOutputStream()
			__lowercase			  =							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}			)
						__lowercase  ,						__lowercase			  =							writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						__lowercase			  =							{'''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 				_lowerCAmelCase  (			):
			__lowercase			  =							pa.BufferOutputStream()
			__lowercase			  =							Features({'''labels''': ClassLabel(names=['''neg''', '''pos''']			)}			)
			with ArrowWriter(stream=lowerCamelCase_						,    features=lowerCamelCase_			) as writer:
						writer.write({'''labels''': 0}			)
						writer.write({'''labels''': 1}			)
						__lowercase  ,						__lowercase			  =							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			  =							pa.BufferReader(output.getvalue()			)
			__lowercase			  =							pa.ipc.open_stream(lowerCamelCase_			)
			__lowercase			  =							f.read_all()
			__lowercase			  =							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, 1_0]			)
def 				_lowerCAmelCase  (			lowerCamelCase_     :					Any			):
			__lowercase			  =							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]			)
									__lowercase  ,						__lowercase			  =							writer.finalize()




@pytest.mark.parametrize('''writer_batch_size'''						,    [None, 2, 1_0]			)
def 				_lowerCAmelCase  (			lowerCamelCase_     :					Dict			):
			__lowercase			  =							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_0			)
									writer.write({'''col_1''': '''bar''', '''col_2''': 2}						,    key=1_0			)
									__lowercase  ,						__lowercase			  =							writer.finalize()




@pytest.mark.parametrize('''writer_batch_size'''						,    [None, 2, 1_0]			)
def 				_lowerCAmelCase  (			lowerCamelCase_     :					Optional[int]			):
			__lowercase			  =							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			)
						__lowercase  ,						__lowercase			  =							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  (			lowerCamelCase_     :					List[Any]						,    lowerCamelCase_     :					Dict			):
			__lowercase			  =							pa.BufferOutputStream()
			__lowercase			  =							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''': []}			)
						__lowercase  ,						__lowercase			  =							writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						__lowercase			  =							{'''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, 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  (			lowerCamelCase_     :					Optional[int]						,    lowerCamelCase_     :					Optional[Any]			):
			__lowercase			  =							pa.BufferOutputStream()
			__lowercase			  =							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]}			)			)
						__lowercase  ,						__lowercase			  =							writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						__lowercase			  =							{'''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, 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  (			lowerCamelCase_     :					Optional[Any]						,    lowerCamelCase_     :					str			):
			__lowercase			  =							pa.BufferOutputStream()
			__lowercase			  =							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]}			)			)
						__lowercase  ,						__lowercase			  =							writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						__lowercase			  =							{'''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 				_lowerCAmelCase  (			):
			with tempfile.TemporaryDirectory() as tmp_dir:
						__lowercase			  =							{'''col_1''': pa.string(), '''col_2''': pa.intaa()}
						__lowercase			  =							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]}			)
									__lowercase  ,						__lowercase			  =							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 				_lowerCAmelCase  (			lowerCamelCase_     :					Union[str, Any]			):
			if pa.types.is_list(lowerCamelCase_			):
						return get_base_dtype(arr_type.value_type			)
			else:
						return arr_type




def 				_lowerCAmelCase  (			lowerCamelCase_     :					Optional[int]						,    lowerCamelCase_     :					Tuple			):
			if isinstance(lst[0]						,    lowerCamelCase_			):
						change_first_primitive_element_in_list(lst[0]						,    lowerCamelCase_			)
			else:
						__lowercase			  =							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  (			lowerCamelCase_     :					str						,    lowerCamelCase_     :					Optional[Any]						,    lowerCamelCase_     :					Tuple			):
			__lowercase			  =							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 				_lowerCAmelCase  (			lowerCamelCase_     :					Dict						,    lowerCamelCase_     :					List[Any]						,    lowerCamelCase_     :					Union[str, Any]			):
			# in range
			__lowercase			  =							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
						__lowercase			  =							copy.deepcopy(lowerCamelCase_			)
						__lowercase			  =							np.iinfo(expected_dtype.to_pandas_dtype()			).max + 1
						change_first_primitive_element_in_list(lowerCamelCase_						,    lowerCamelCase_			)
						__lowercase			  =							pa.array(OptimizedTypedSequence(lowerCamelCase_						,    col=lowerCamelCase_			)			)
						assert get_base_dtype(arr.type			) == pa.intaa()




@pytest.mark.parametrize('''raise_exception'''						,    [False, True]			)
def 				_lowerCAmelCase  (			lowerCamelCase_     :					Optional[int]						,    lowerCamelCase_     :					Tuple			):
			__lowercase			  =							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 				_lowerCAmelCase  (			lowerCamelCase_     :					Any			):
			__lowercase			  =							'''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}			)
						__lowercase  ,						__lowercase			  =							writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			assert mockfs.exists(lowerCamelCase_			)




def 				_lowerCAmelCase  (			):
			__lowercase			  =							pa.BufferOutputStream()
			with ParquetWriter(stream=lowerCamelCase_			) as writer:
						writer.write({'''col_1''': '''foo''', '''col_2''': 1}			)
						writer.write({'''col_1''': '''bar''', '''col_2''': 2}			)
						__lowercase  ,						__lowercase			  =							writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			__lowercase			  =							pa.BufferReader(output.getvalue()			)
			__lowercase			  =							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 				_lowerCAmelCase  (			lowerCamelCase_     :					Dict						,    lowerCamelCase_     :					Union[str, Any]			):
			import PIL.Image

			__lowercase			  =							str(tmp_path / '''test_image_rgb.jpg'''			)
			PIL.Image.fromarray(np.zeros((5, 5)						,    dtype=np.uinta			)			).save(lowerCamelCase_						,    format='''png'''			)
			__lowercase			  =							pa.BufferOutputStream()
			with ParquetWriter(
			    stream=lowerCamelCase_						,    features=Features({'''image''': Image()}			)						,    embed_local_files=lowerCamelCase_			) as writer:
						writer.write({'''image''': image_path}			)
						writer.finalize()
			__lowercase			  =							pa.BufferReader(output.getvalue()			)
			__lowercase			  =							pq.read_table(lowerCamelCase_			)
			__lowercase			  =							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 				_lowerCAmelCase  (			):
			__lowercase			  =							pa.schema([pa.field('''col_1'''						,    pa.string()						,    nullable=lowerCamelCase_			)]			)
			__lowercase			  =							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 				_lowerCAmelCase  (			lowerCamelCase_     :					int = 6_0_0_8_5_1_4_7_5_1_4_3			):

			try:
						__lowercase			  =							int(lowerCamelCase_			)
			except (TypeError, ValueError):
						raise TypeError('''Parameter n must be int or castable to int.'''			)
			if n <= 0:
						raise ValueError('''Parameter n must be greater than or equal to one.'''			)
			__lowercase			  =							1
			__lowercase			  =							2
			while i * i <= n:
						while n % i == 0:
									__lowercase			  =							i
									n //= i
						i += 1
			if n > 1:
						__lowercase			  =							n
			return int(lowerCamelCase_			)


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





