






"""simple docstring"""



import json
import os
import tempfile

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features import ArrayaD
from utils import generate_examples, get_duration


A_     =				(30, 487)
A_     =				(36, 1024)
A_     =				(100, 100)
A_     =				100

A_     =				datasets.Features(
    {'''text''': ArrayaD(SHAPE_TEST_1, dtype='''float32'''), '''image''': ArrayaD(SHAPE_TEST_2, dtype='''float32''')}
)

A_     ,						A_     =				os.path.split(__file__)
A_     =				os.path.join(RESULTS_BASEPATH, '''results''', RESULTS_FILENAME.replace('''.py''', '''.json'''))




@get_duration
def   _lowerCAmelCase		(				UpperCAmelCase__							:       Any,    UpperCAmelCase__							:       Optional[Any],    UpperCAmelCase__							:       List[Any]   )		->Tuple:






						with ArrowWriter(features=__lowercase,    path=os.path.join(__lowercase,    """beta.arrow"""   )   ) as writer:
												for key, record in dummy_data:
																		A__    :	Optional[int]			=	my_features.encode_example(__lowercase   )
																		writer.write(__lowercase   )
												A__	,	A__    :	List[str]			=	writer.finalize()




@get_duration
def   _lowerCAmelCase		(				UpperCAmelCase__							:       str,    UpperCAmelCase__							:       str   )		->List[Any]:
						A__    :	Tuple			=	datasets.Dataset.from_file(
						    filename=os.path.join(__lowercase,    """beta.arrow"""   ),    info=datasets.DatasetInfo(features=__lowercase   )   )
						for _ in dataset:
												pass




@get_duration
def   _lowerCAmelCase		(				UpperCAmelCase__							:       Tuple,    UpperCAmelCase__							:       str   )		->Optional[int]:
						A__    :	str			=	datasets.Dataset.from_file(
						    filename=os.path.join(__lowercase,    """beta.arrow"""   ),    info=datasets.DatasetInfo(features=__lowercase   )   )
						dataset.set_format("""numpy"""   )
						for _ in dataset:
												pass




@get_duration
def   _lowerCAmelCase		(				UpperCAmelCase__							:       str,    UpperCAmelCase__							:       Dict   )		->List[str]:
						A__    :	Union[str, Any]			=	1_0
						A__    :	Union[str, Any]			=	datasets.Dataset.from_file(
						    filename=os.path.join(__lowercase,    """beta.arrow"""   ),    info=datasets.DatasetInfo(features=__lowercase   )   )
						for i in range(0,    len(__lowercase   ),    __lowercase   ):
												A__    :	Optional[int]			=	dataset[i : i + batch_size]




@get_duration
def   _lowerCAmelCase		(				UpperCAmelCase__							:       List[Any],    UpperCAmelCase__							:       Union[str, Any]   )		->int:
						A__    :	Optional[int]			=	1_0
						A__    :	int			=	datasets.Dataset.from_file(
						    filename=os.path.join(__lowercase,    """beta.arrow"""   ),    info=datasets.DatasetInfo(features=__lowercase   )   )
						dataset.set_format("""numpy"""   )
						for i in range(0,    len(__lowercase   ),    __lowercase   ):
												A__    :	List[str]			=	dataset[i : i + batch_size]




@get_duration
def   _lowerCAmelCase		(				UpperCAmelCase__							:       Union[str, Any],    UpperCAmelCase__							:       str   )		->Optional[int]:
						A__    :	List[str]			=	datasets.Dataset.from_file(
						    filename=os.path.join(__lowercase,    """beta.arrow"""   ),    info=datasets.DatasetInfo(features=__lowercase   )   )
						for col in feats:
												A__    :	Tuple			=	dataset[col]




@get_duration
def   _lowerCAmelCase		(				UpperCAmelCase__							:       Optional[int],    UpperCAmelCase__							:       Optional[Any]   )		->List[str]:
						A__    :	int			=	datasets.Dataset.from_file(
						    filename=os.path.join(__lowercase,    """beta.arrow"""   ),    info=datasets.DatasetInfo(features=__lowercase   )   )
						dataset.set_format("""numpy"""   )
						for col in feats:
												A__    :	Optional[Any]			=	dataset[col]




def   _lowerCAmelCase		(				)		->List[str]:
						A__    :	str			=	{}
						A__    :	Dict			=	(
						    read_unformated,
						    read_formatted_as_numpy,
						    read_batch_unformated,
						    read_batch_formatted_as_numpy,
						    read_col_unformated,
						    read_col_formatted_as_numpy,
						)
						with tempfile.TemporaryDirectory() as tmp_dir:
												A__    :	Any			=	datasets.Features({"""image""": ArrayaD(__lowercase,    dtype="""float32"""   )}   )
												A__    :	Optional[int]			=	generate_examples(features=__lowercase,    num_examples=__lowercase   )
												A__    :	Optional[int]			=	write(__lowercase,    __lowercase,    __lowercase   )
												for read_func in read_functions:
																		A__    :	str			=	read_func(__lowercase,    __lowercase   )

						with tempfile.TemporaryDirectory() as tmp_dir:
												# don't use fixed length for fair comparison
												# feats = datasets.Features(
												#     {"image": datasets.Sequence(datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[1]), SPEED_TEST_SHAPE[0])}
												# )
												A__    :	Optional[Any]			=	datasets.Features({"""image""": datasets.Sequence(datasets.Sequence(datasets.Value("""float32"""   )   )   )}   )
												A__    :	Optional[Any]			=	generate_examples(
												    features=__lowercase,    num_examples=__lowercase,    seq_shapes={"""image""": SPEED_TEST_SHAPE}   )
												A__    :	int			=	write(__lowercase,    __lowercase,    __lowercase   )
												for read_func in read_functions:
																		A__    :	List[Any]			=	read_func(__lowercase,    __lowercase   )

						with tempfile.TemporaryDirectory() as tmp_dir:
												# don't use fixed length for fair comparison
												# feats = datasets.Features(
												#     {"image": datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1])}
												# )
												A__    :	Any			=	datasets.Features({"""image""": datasets.Sequence(datasets.Value("""float32"""   )   )}   )
												A__    :	Dict			=	generate_examples(
												    features=__lowercase,    num_examples=__lowercase,    seq_shapes={"""image""": [SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1]]},    )
												A__    :	Dict			=	write(__lowercase,    __lowercase,    __lowercase   )
												for read_func in read_functions:
																		A__    :	Optional[Any]			=	read_func(__lowercase,    __lowercase   )

						with open(__lowercase,    """wb"""   ) as f:
												f.write(json.dumps(__lowercase   ).encode("""utf-8"""   )   )


if __name__ == "__main__":  # useful to run the profiler
						benchmark_array_xd()













def        __SCREAMING_SNAKE_CASE	(				__lowercase:		int):



  '''simple docstring'''






  if not isinstance(__lowercase  ,				__lowercase):
    __lowerCAmelCase								=					F'''Input value of [number={number}] must be an integer'''
    raise TypeError(__lowercase)
  if number < 0 or number % 2 == 1:
    return False
  __lowerCAmelCase								=					int(number**0.5)
  return number == number_sqrt * (number_sqrt + 1)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
