


'''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  UpperCamelCase__(     SCREAMING_SNAKE_CASE__ ):




				def   a__(	self    :				Tuple   )->  int:

										"""simple docstring"""




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




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

										"""simple docstring"""




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




				def   a__(	self    :				Dict   )->  str:

										"""simple docstring"""




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




				def   a__(	self    :				str   )->  Optional[Any]:

										"""simple docstring"""




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




				def   a__(	self    :				List[Any]   )->  Dict:

										"""simple docstring"""




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




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

										"""simple docstring"""




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




				def   a__(	self    :				int   )->  Dict:

										"""simple docstring"""




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




				def   a__(	self    :				int   )->  int:

										"""simple docstring"""




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




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

										"""simple docstring"""




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




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

										"""simple docstring"""




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




				def   a__(	self    :				Dict   )->  Optional[Any]:

										"""simple docstring"""




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





				@require_pil
				def   a__(	self    :				Dict   )->  List[str]:

										"""simple docstring"""




										import PIL.Image

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







def    lowerCamelCase__   ( A     :    Tuple   ,     A     :    int  ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.BufferReader(__UpperCamelCase  ) if isinstance(__UpperCamelCase   ,     pa.Buffer  ) else pa.memory_map(__UpperCamelCase  )
						UpperCAmelCase         =			pa.ipc.open_stream(__UpperCamelCase  )
						UpperCAmelCase         =			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    lowerCamelCase__   ( A     :    Tuple   ,     A     :    Union[str, Any]  ):




						'''simple docstring'''






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


def    lowerCamelCase__   ( ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.BufferOutputStream()
						UpperCAmelCase         =			Features({'''labels''': ClassLabel(names=['''neg''', '''pos''']  )}  )
						with ArrowWriter(stream=__UpperCamelCase   ,     features=__UpperCamelCase  ) as writer:
												writer.write({'''labels''': 0}  )
												writer.write({'''labels''': 1}  )
												UpperCAmelCase         =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert writer._schema == features.arrow_schema
						assert writer._schema.metadata == features.arrow_schema.metadata
						UpperCAmelCase         =			pa.BufferReader(output.getvalue()  )
						UpperCAmelCase         =			pa.ipc.open_stream(__UpperCamelCase  )
						UpperCAmelCase         =			f.read_all()
						UpperCAmelCase         =			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(__UpperCamelCase  )


@pytest.mark.parametrize('''writer_batch_size'''   ,     [None, 1, 10]  )
def    lowerCamelCase__   ( A     :    Tuple  ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.BufferOutputStream()
						with ArrowWriter(
						    stream=__UpperCamelCase   ,     writer_batch_size=__UpperCamelCase   ,     hash_salt='''split_name'''   ,     check_duplicates=__UpperCamelCase   ,     ) as writer:
												with pytest.raises(__UpperCamelCase  ):
																		writer.write({'''col_1''': '''foo''', '''col_2''': 1}   ,     key=[1, 2]  )
																		UpperCAmelCase         =			writer.finalize()


@pytest.mark.parametrize('''writer_batch_size'''   ,     [None, 2, 10]  )
def    lowerCamelCase__   ( A     :    str  ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.BufferOutputStream()
						with ArrowWriter(
						    stream=__UpperCamelCase   ,     writer_batch_size=__UpperCamelCase   ,     hash_salt='''split_name'''   ,     check_duplicates=__UpperCamelCase   ,     ) as writer:
												with pytest.raises(__UpperCamelCase  ):
																		writer.write({'''col_1''': '''foo''', '''col_2''': 1}   ,     key=10  )
																		writer.write({'''col_1''': '''bar''', '''col_2''': 2}   ,     key=10  )
																		UpperCAmelCase         =			writer.finalize()


@pytest.mark.parametrize('''writer_batch_size'''   ,     [None, 2, 10]  )
def    lowerCamelCase__   ( A     :    List[str]  ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.BufferOutputStream()
						with ArrowWriter(
						    stream=__UpperCamelCase   ,     writer_batch_size=__UpperCamelCase   ,     hash_salt='''split_name'''   ,     check_duplicates=__UpperCamelCase   ,     ) as writer:
												writer.write({'''col_1''': '''foo''', '''col_2''': 1}   ,     key=1  )
												writer.write({'''col_1''': '''bar''', '''col_2''': 2}   ,     key=2  )
												UpperCAmelCase         =			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    lowerCamelCase__   ( A     :    int   ,     A     :    Optional[int]  ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.BufferOutputStream()
						UpperCAmelCase         =			pa.schema(__UpperCamelCase  ) if fields else None
						with ArrowWriter(stream=__UpperCamelCase   ,     schema=__UpperCamelCase   ,     writer_batch_size=__UpperCamelCase  ) as writer:
												writer.write_batch({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}  )
												writer.write_batch({'''col_1''': [], '''col_2''': []}  )
												UpperCAmelCase         =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												UpperCAmelCase         =			{"""col_1""": pa.string(), """col_2""": pa.intaa()}
						assert writer._schema == pa.schema(__UpperCamelCase   ,     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    lowerCamelCase__   ( A     :    str   ,     A     :    int  ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.BufferOutputStream()
						UpperCAmelCase         =			pa.schema(__UpperCamelCase  ) if fields else None
						with ArrowWriter(stream=__UpperCamelCase   ,     schema=__UpperCamelCase   ,     writer_batch_size=__UpperCamelCase  ) as writer:
												writer.write_table(pa.Table.from_pydict({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}  )  )
												UpperCAmelCase         =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												UpperCAmelCase         =			{"""col_1""": pa.string(), """col_2""": pa.intaa()}
						assert writer._schema == pa.schema(__UpperCamelCase   ,     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    lowerCamelCase__   ( A     :    str   ,     A     :    Dict  ):




						'''simple docstring'''






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


def    lowerCamelCase__   ( ):




						'''simple docstring'''






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


def    lowerCamelCase__   ( A     :    Any  ):




						'''simple docstring'''






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


def    lowerCamelCase__   ( A     :    int   ,     A     :    Dict  ):




						'''simple docstring'''






						if isinstance(lst[0]   ,     __UpperCamelCase  ):
												change_first_primitive_element_in_list(lst[0]   ,     __UpperCamelCase  )
						else:
												UpperCAmelCase         =			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__   ( A     :    Any   ,     A     :    List[str]   ,     A     :    List[str]  ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.array(TypedSequence(__UpperCamelCase   ,     optimized_int_type=__UpperCamelCase  )  )
						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__   ( A     :    Dict   ,     A     :    str   ,     A     :    List[Any]  ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.array(OptimizedTypedSequence(__UpperCamelCase   ,     col=__UpperCamelCase  )  )
						assert get_base_dtype(arr.type  ) == expected_dtype

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


@pytest.mark.parametrize('''raise_exception'''   ,     [False, True]  )
def    lowerCamelCase__   ( A     :    List[str]   ,     A     :    Dict  ):




						'''simple docstring'''






						UpperCAmelCase         =			str(tmp_path / '''dataset-train.arrow'''  )
						try:
												with ArrowWriter(path=__UpperCamelCase  ) 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__   ( A     :    Tuple  ):




						'''simple docstring'''






						UpperCAmelCase         =			"""mock://dataset-train.arrow"""
						with ArrowWriter(path=__UpperCamelCase   ,     storage_options=mockfs.storage_options  ) as writer:
												assert isinstance(writer._fs   ,     type(__UpperCamelCase  )  )
												assert writer._fs.storage_options == mockfs.storage_options
												writer.write({'''col_1''': '''foo''', '''col_2''': 1}  )
												writer.write({'''col_1''': '''bar''', '''col_2''': 2}  )
												UpperCAmelCase         =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert mockfs.exists(__UpperCamelCase  )


def    lowerCamelCase__   ( ):




						'''simple docstring'''






						UpperCAmelCase         =			pa.BufferOutputStream()
						with ParquetWriter(stream=__UpperCamelCase  ) as writer:
												writer.write({'''col_1''': '''foo''', '''col_2''': 1}  )
												writer.write({'''col_1''': '''bar''', '''col_2''': 2}  )
												UpperCAmelCase         =			writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						UpperCAmelCase         =			pa.BufferReader(output.getvalue()  )
						UpperCAmelCase         =			pq.read_table(__UpperCamelCase  )
						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__   ( A     :    Optional[int]   ,     A     :    Optional[int]  ):




						'''simple docstring'''






						import PIL.Image

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




						'''simple docstring'''






						UpperCAmelCase         =			pa.schema([pa.field('''col_1'''   ,     pa.string()   ,     nullable=__UpperCamelCase  )]  )
						UpperCAmelCase         =			pa.BufferOutputStream()
						with ArrowWriter(stream=__UpperCamelCase  ) as writer:
												writer._build_writer(inferred_schema=__UpperCamelCase  )
												assert writer._schema == pa.schema([pa.field('''col_1'''   ,     pa.string()  )]  )





'''simple docstring'''



def    lowerCamelCase__   ( A     :    str  ):




						'''simple docstring'''






						assert column_title.isupper()
						UpperCAmelCase         =			0
						UpperCAmelCase         =			len(A  ) - 1
						UpperCAmelCase         =			0

						while index >= 0:
												UpperCAmelCase         =			(ord(column_title[index]  ) - 64) * pow(26   ,     A  )
												answer += value
												power += 1
												index -= 1

						return answer


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

	testmod()





