code: 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
  
  
  lowercase__    :       int						=			(3_0, 4_8_7)
  lowercase__    :       int						=			(3_6, 1_0_2_4)
  lowercase__    :       Optional[int]						=			(1_0_0, 1_0_0)
  lowercase__    :       Optional[Any]						=			1_0_0
  
  lowercase__    :       Any						=			datasets.Features(
      {'''text''': ArrayaD(SHAPE_TEST_1, dtype='''float32'''), '''image''': ArrayaD(SHAPE_TEST_2, dtype='''float32''')}
  )
  
  lowercase__			,					lowercase__    :       int						=			os.path.split(__file__)
  lowercase__    :       Optional[int]						=			os.path.join(RESULTS_BASEPATH, '''results''', RESULTS_FILENAME.replace('''.py''', '''.json'''))
  
  @get_duration
  def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__     ,						snake_case__							)  ->			List[str]:
  							with ArrowWriter(features=snake_case__     ,						path=os.path.join(snake_case__     ,						'''beta.arrow'''							)							) as writer:
  														for key, record in dummy_data:
  																					lowerCAmelCase				=	my_features.encode_example(snake_case__							)
  																					writer.write(snake_case__							)
  														lowerCAmelCase				=	writer.finalize()
  
  @get_duration
  def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			int:
  							lowerCAmelCase				=	datasets.Dataset.from_file(
  							    filename=os.path.join(snake_case__     ,						'''beta.arrow'''							)     ,						info=datasets.DatasetInfo(features=snake_case__							)							)
  							for _ in dataset:
  														pass
  
  @get_duration
  def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			Dict:
  							lowerCAmelCase				=	datasets.Dataset.from_file(
  							    filename=os.path.join(snake_case__     ,						'''beta.arrow'''							)     ,						info=datasets.DatasetInfo(features=snake_case__							)							)
  							dataset.set_format('''numpy'''							)
  							for _ in dataset:
  														pass
  
  @get_duration
  def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			Optional[Any]:
  							lowerCAmelCase				=	1_0
  							lowerCAmelCase				=	datasets.Dataset.from_file(
  							    filename=os.path.join(snake_case__     ,						'''beta.arrow'''							)     ,						info=datasets.DatasetInfo(features=snake_case__							)							)
  							for i in range(0     ,						len(snake_case__							)     ,						snake_case__							):
  														lowerCAmelCase				=	dataset[i : i + batch_size]
  
  @get_duration
  def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			Tuple:
  							lowerCAmelCase				=	1_0
  							lowerCAmelCase				=	datasets.Dataset.from_file(
  							    filename=os.path.join(snake_case__     ,						'''beta.arrow'''							)     ,						info=datasets.DatasetInfo(features=snake_case__							)							)
  							dataset.set_format('''numpy'''							)
  							for i in range(0     ,						len(snake_case__							)     ,						snake_case__							):
  														lowerCAmelCase				=	dataset[i : i + batch_size]
  
  @get_duration
  def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			Dict:
  							lowerCAmelCase				=	datasets.Dataset.from_file(
  							    filename=os.path.join(snake_case__     ,						'''beta.arrow'''							)     ,						info=datasets.DatasetInfo(features=snake_case__							)							)
  							for col in feats:
  														lowerCAmelCase				=	dataset[col]
  
  @get_duration
  def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			Tuple:
  							lowerCAmelCase				=	datasets.Dataset.from_file(
  							    filename=os.path.join(snake_case__     ,						'''beta.arrow'''							)     ,						info=datasets.DatasetInfo(features=snake_case__							)							)
  							dataset.set_format('''numpy'''							)
  							for col in feats:
  														lowerCAmelCase				=	dataset[col]
  
  def      SCREAMING_SNAKE_CASE_  (		)  ->			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(snake_case__     ,						dtype='''float32'''							)}							)
  														lowerCAmelCase				=	generate_examples(features=snake_case__     ,						num_examples=snake_case__							)
  														lowerCAmelCase				=	write(snake_case__     ,						snake_case__     ,						snake_case__							)
  														for read_func in read_functions:
  																					lowerCAmelCase				=	read_func(snake_case__     ,						snake_case__							)
  
  							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=snake_case__     ,						num_examples=snake_case__     ,						seq_shapes={'''image''': SPEED_TEST_SHAPE}							)
  														lowerCAmelCase				=	write(snake_case__     ,						snake_case__     ,						snake_case__							)
  														for read_func in read_functions:
  																					lowerCAmelCase				=	read_func(snake_case__     ,						snake_case__							)
  
  							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=snake_case__     ,						num_examples=snake_case__     ,						seq_shapes={'''image''': [SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1]]}     ,						)
  														lowerCAmelCase				=	write(snake_case__     ,						snake_case__     ,						snake_case__							)
  														for read_func in read_functions:
  																					lowerCAmelCase				=	read_func(snake_case__     ,						snake_case__							)
  
  							with open(snake_case__     ,						'''wb'''							) as f:
  														f.write(json.dumps(snake_case__							).encode('''utf-8'''							)							)
  
  
  if __name__ == "__main__":  # useful to run the profiler
  	benchmark_array_xd()
  
  
  
  
style_context: import math
  
  def      SCREAMING_SNAKE_CASE_  (		snake_case__							)  ->			float:
  							lowerCAmelCase				=	math.log(2     ,						1_0							) * number
  							lowerCAmelCase				=	round((log_number - int(snake_case__							))     ,						1_5							)
  
  							return difference
  
  def      SCREAMING_SNAKE_CASE_  (		snake_case__ = 6_7_8_9_1_0							)  ->			int:
  							lowerCAmelCase				=	9_0
  							lowerCAmelCase				=	0
  
  							lowerCAmelCase				=	math.log(1.23     ,						1_0							)
  							lowerCAmelCase				=	math.log(1.24     ,						1_0							)
  							lowerCAmelCase				=	0
  
  							while position < number:
  														lowerCAmelCase				=	log_difference(snake_case__							)
  
  														if difference >= upper_limit:
  																					power_iterator += 9_3
  
  														elif difference < lower_limit:
  																					power_iterator += 1_9_6
  
  														else:
  																					lowerCAmelCase				=	power_iterator
  																					power_iterator += 1_9_6
  																					position += 1
  
  							return previous_power
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  	print(f'{solution() = }')
  
  
  
  