

'''simple docstring'''




from scipy.constants import g




def 						UpperCamelCase       ( a		,						a )      ->	float:






     '''simple docstring'''
     if mass < 0:
          # handling of negative values of mass
          raise ValueError('''The mass of a body cannot be negative''' )
     if height < 0:
          # handling of negative values of height
          raise ValueError('''The height above the ground cannot be negative''' )
     return mass * g * height


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

      testmod(name="potential_energy")













'''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					: Dict      =    (3_0, 4_8_7)
_a					: int      =    (3_6, 1_0_2_4)
_a					: str      =    (1_0_0, 1_0_0)
_a					: Tuple      =    1_0_0

_a					: List[str]      =    datasets.Features(
    {"""text""": ArrayaD(SHAPE_TEST_1, dtype="""float32"""), """image""": ArrayaD(SHAPE_TEST_2, dtype="""float32""")}
)

_a    ,_a					: Optional[int]      =    os.path.split(__file__)
_a					: List[Any]      =    os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase					,	lowercase	)					->					Optional[Any]:
			with ArrowWriter(features=lowercase					,	path=os.path.join(lowercase					,	"""beta.arrow"""	)	) as writer:
						for key, record in dummy_data:
									__lowerCAmelCase											=				my_features.encode_example(lowercase	)
									writer.write(lowercase	)
						__lowerCAmelCase						,       __lowerCAmelCase											=				writer.finalize()





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





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase	)					->					Any:
			__lowerCAmelCase											=				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						(						lowercase					,	lowercase	)					->					List[str]:
			__lowerCAmelCase											=				10
			__lowerCAmelCase											=				datasets.Dataset.from_file(
			    filename=os.path.join(lowercase					,	"""beta.arrow"""	)					,	info=datasets.DatasetInfo(features=lowercase	)	)
			for i in range(0					,	len(lowercase	)					,	lowercase	):
						__lowerCAmelCase											=				dataset[i : i + batch_size]





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase	)					->					List[str]:
			__lowerCAmelCase											=				10
			__lowerCAmelCase											=				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	):
						__lowerCAmelCase											=				dataset[i : i + batch_size]





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase	)					->					Union[str, Any]:
			__lowerCAmelCase											=				datasets.Dataset.from_file(
			    filename=os.path.join(lowercase					,	"""beta.arrow"""	)					,	info=datasets.DatasetInfo(features=lowercase	)	)
			for col in feats:
						__lowerCAmelCase											=				dataset[col]





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





def    _lowerCAmelCase						(						)					->					Optional[Any]:
			__lowerCAmelCase											=				{}
			__lowerCAmelCase											=				(
			    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:
						__lowerCAmelCase											=				datasets.Features({"""image""": ArrayaD(lowercase					,	dtype="""float32"""	)}	)
						__lowerCAmelCase											=				generate_examples(features=lowercase					,	num_examples=lowercase	)
						__lowerCAmelCase											=				write(lowercase					,	lowercase					,	lowercase	)
						for read_func in read_functions:
									__lowerCAmelCase											=				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])}
						# )
						__lowerCAmelCase											=				datasets.Features({"""image""": datasets.Sequence(datasets.Sequence(datasets.Value("""float32"""	)	)	)}	)
						__lowerCAmelCase											=				generate_examples(
						    features=lowercase					,	num_examples=lowercase					,	seq_shapes={"""image""": SPEED_TEST_SHAPE}	)
						__lowerCAmelCase											=				write(lowercase					,	lowercase					,	lowercase	)
						for read_func in read_functions:
									__lowerCAmelCase											=				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])}
						# )
						__lowerCAmelCase											=				datasets.Features({"""image""": datasets.Sequence(datasets.Value("""float32"""	)	)}	)
						__lowerCAmelCase											=				generate_examples(
						    features=lowercase					,	num_examples=lowercase					,	seq_shapes={"""image""": [SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1]]}					,	)
						__lowerCAmelCase											=				write(lowercase					,	lowercase					,	lowercase	)
						for read_func in read_functions:
									__lowerCAmelCase											=				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()

