



"""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 			__A			(      lowerCamelCase__       ):







		'''simple docstring'''





		def    UpperCAmelCase       (      self		:    str		)   ->						Any:






				"""simple docstring"""



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







		def    UpperCAmelCase       (      self		:    Dict		)   ->						List[str]:






				"""simple docstring"""



				with self.assertRaises(snake_case__		):
						lowercase__  :       Union[str, Any]												=     pa.array(TypedSequence([1, 2, 3]		)     ,type=pa.intaa()		)







		def    UpperCAmelCase       (      self		:    Union[str, Any]		)   ->						Optional[Any]:






				"""simple docstring"""



				with self.assertRaises(snake_case__		):
						lowercase__  :       List[str]												=     pa.array(TypedSequence([1, 2, 3]     ,try_type=Value('''bool'''		)     ,type=Value('''int64'''		)		)		)







		def    UpperCAmelCase       (      self		:    Dict		)   ->						Tuple:






				"""simple docstring"""



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







		def    UpperCAmelCase       (      self		:    str		)   ->						Optional[int]:






				"""simple docstring"""



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







		def    UpperCAmelCase       (      self		:    int		)   ->						Tuple:






				"""simple docstring"""



				lowercase__  :       Union[str, Any]												=     pa.array(TypedSequence([1, 2, 3]     ,try_type=Value('''int32'''		)		)		)
				self.assertEqual(arr.type     ,pa.intaa()		)







		def    UpperCAmelCase       (      self		:    Dict		)   ->						Any:






				"""simple docstring"""



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







		def    UpperCAmelCase       (      self		:    Optional[Any]		)   ->						Optional[Any]:






				"""simple docstring"""



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







		def    UpperCAmelCase       (      self		:    Union[str, Any]		)   ->						Any:






				"""simple docstring"""



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







		def    UpperCAmelCase       (      self		:    List[str]		)   ->						int:






				"""simple docstring"""



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







		def    UpperCAmelCase       (      self		:    Dict		)   ->						Any:






				"""simple docstring"""



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







		@require_pil
		def    UpperCAmelCase       (      self		:    str		)   ->						Union[str, Any]:






				"""simple docstring"""



				import PIL.Image

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





def 	__UpperCAmelCase (       __lowerCamelCase		,	__lowerCamelCase      )				-> Optional[int]:
		lowercase__  :       List[str]												=     pa.BufferReader(__lowerCamelCase      ) if isinstance(__lowerCamelCase		,	pa.Buffer      ) else pa.memory_map(__lowerCamelCase      )
		lowercase__  :       Optional[Any]												=     pa.ipc.open_stream(__lowerCamelCase      )
		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, 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		,	__lowerCamelCase      )				-> Union[str, Any]:
		lowercase__  :       Dict												=     pa.BufferOutputStream()
		lowercase__  :       Optional[int]												=     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__  :       Any												=     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(__lowerCamelCase		,	metadata=writer._schema.metadata      )
		_check_output(output.getvalue()		,	expected_num_chunks=num_examples if writer_batch_size == 1 else 1      )



def 	__UpperCAmelCase (       )				-> Dict:
		lowercase__  :       Any												=     pa.BufferOutputStream()
		lowercase__  :       Optional[int]												=     Features({'''labels''': ClassLabel(names=['''neg''', '''pos''']      )}      )
		with ArrowWriter(stream=__lowerCamelCase		,	features=__lowerCamelCase      ) as writer:
				writer.write({'''labels''': 0}      )
				writer.write({'''labels''': 1}      )
				lowercase__  :       Tuple												=     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__  :       Any												=     pa.BufferReader(output.getvalue()      )
		lowercase__  :       Tuple												=     pa.ipc.open_stream(__lowerCamelCase      )
		lowercase__  :       pa.Table												=     f.read_all()
		lowercase__  :       List[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(__lowerCamelCase      )



@pytest.mark.parametrize('''writer_batch_size'''		,	[None, 1, 10]      )
def 	__UpperCAmelCase (       __lowerCamelCase      )				-> Tuple:
		lowercase__  :       Tuple												=     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__  :       str												=     writer.finalize()



@pytest.mark.parametrize('''writer_batch_size'''		,	[None, 2, 10]      )
def 	__UpperCAmelCase (       __lowerCamelCase      )				-> int:
		lowercase__  :       Optional[Any]												=     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      )
						lowercase__  :       Any												=     writer.finalize()



@pytest.mark.parametrize('''writer_batch_size'''		,	[None, 2, 10]      )
def 	__UpperCAmelCase (       __lowerCamelCase      )				-> List[Any]:
		lowercase__  :       Union[str, Any]												=     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__  :       List[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, 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		,	__lowerCamelCase      )				-> List[Any]:
		lowercase__  :       Tuple												=     pa.BufferOutputStream()
		lowercase__  :       List[str]												=     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__  :       List[str]												=     writer.finalize()
		assert num_examples == 2
		assert num_bytes > 0
		if not fields:
				lowercase__  :       int												=     {"""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		,	__lowerCamelCase      )				-> Optional[int]:
		lowercase__  :       Any												=     pa.BufferOutputStream()
		lowercase__  :       Dict												=     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__  :       Optional[Any]												=     writer.finalize()
		assert num_examples == 2
		assert num_bytes > 0
		if not fields:
				lowercase__  :       Tuple												=     {"""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		,	__lowerCamelCase      )				-> Union[str, Any]:
		lowercase__  :       Dict												=     pa.BufferOutputStream()
		lowercase__  :       Any												=     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__  :       str												=     writer.finalize()
		assert num_examples == 2
		assert num_bytes > 0
		if not fields:
				lowercase__  :       Tuple												=     {"""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 (       )				-> Tuple:



		with tempfile.TemporaryDirectory() as tmp_dir:
				lowercase__  :       Tuple												=     {"""col_1""": pa.string(), """col_2""": pa.intaa()}
				lowercase__  :       Dict												=     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__  :       Tuple												=     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      )				-> str:



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



def 	__UpperCAmelCase (       __lowerCamelCase		,	__lowerCamelCase      )				-> Union[str, Any]:



		if isinstance(lst[0]		,	__lowerCamelCase      ):
				change_first_primitive_element_in_list(lst[0]		,	__lowerCamelCase      )
		else:
				lowercase__  :       Optional[Any]												=     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		,	__lowerCamelCase		,	__lowerCamelCase      )				-> Tuple:
		lowercase__  :       Tuple												=     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		,	__lowerCamelCase		,	__lowerCamelCase      )				-> Tuple:
		lowercase__  :       Dict												=     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__  :       List[str]												=     copy.deepcopy(__lowerCamelCase      )
				lowercase__  :       Optional[Any]												=     np.iinfo(expected_dtype.to_pandas_dtype()      ).max + 1
				change_first_primitive_element_in_list(__lowerCamelCase		,	__lowerCamelCase      )
				lowercase__  :       Optional[Any]												=     pa.array(OptimizedTypedSequence(__lowerCamelCase		,	col=__lowerCamelCase      )      )
				assert get_base_dtype(arr.type      ) == pa.intaa()



@pytest.mark.parametrize('''raise_exception'''		,	[False, True]      )
def 	__UpperCAmelCase (       __lowerCamelCase		,	__lowerCamelCase      )				-> Any:
		lowercase__  :       List[str]												=     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      )				-> List[str]:
		lowercase__  :       Optional[Any]												=     """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__  :       str												=     writer.finalize()
		assert num_examples == 2
		assert num_bytes > 0
		assert mockfs.exists(__lowerCamelCase      )



def 	__UpperCAmelCase (       )				-> Optional[int]:
		lowercase__  :       int												=     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__  :       Dict												=     writer.finalize()
		assert num_examples == 2
		assert num_bytes > 0
		lowercase__  :       Tuple												=     pa.BufferReader(output.getvalue()      )
		lowercase__  :       pa.Table												=     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		,	__lowerCamelCase      )				-> Optional[int]:
		import PIL.Image

		lowercase__  :       List[str]												=     str(tmp_path / '''test_image_rgb.jpg'''      )
		PIL.Image.fromarray(np.zeros((5, 5)		,	dtype=np.uinta      )      ).save(__lowerCamelCase		,	format='''png'''      )
		lowercase__  :       Any												=     pa.BufferOutputStream()
		with ParquetWriter(
		    stream=__lowerCamelCase		,	features=Features({'''image''': Image()}      )		,	embed_local_files=__lowerCamelCase      ) as writer:
				writer.write({'''image''': image_path}      )
				writer.finalize()
		lowercase__  :       str												=     pa.BufferReader(output.getvalue()      )
		lowercase__  :       pa.Table												=     pq.read_table(__lowerCamelCase      )
		lowercase__  :       Optional[int]												=     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 (       )				-> Tuple:
		lowercase__  :       Union[str, Any]												=     pa.schema([pa.field('''col_1'''		,	pa.string()		,	nullable=__lowerCamelCase      )]      )
		lowercase__  :       List[str]												=     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()      )]      )







UpperCAmelCase_							=				8.31_44_62  # Unit - J mol-1 K-1





def  __magic_name__  (				lowercase				,       lowercase				,       lowercase				)				-> float:

							"""simple docstring"""



							if moles < 0 or kelvin < 0 or volume < 0:
														raise ValueError("""Invalid inputs. Enter positive value."""				)
							return moles * kelvin * UNIVERSAL_GAS_CONSTANT / volume





def  __magic_name__  (				lowercase				,       lowercase				,       lowercase				)				-> float:

							"""simple docstring"""



							if moles < 0 or kelvin < 0 or pressure < 0:
														raise ValueError("""Invalid inputs. Enter positive value."""				)
							return moles * kelvin * UNIVERSAL_GAS_CONSTANT / pressure


if __name__ == "__main__":
							from doctest import testmod

							testmod()