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
  
  
  SCREAMING_SNAKE_CASE__		:       str   							=							(30, 4_87)
  SCREAMING_SNAKE_CASE__		:       Any   							=							(36, 10_24)
  SCREAMING_SNAKE_CASE__		:       List[Any]   							=							(1_00, 1_00)
  SCREAMING_SNAKE_CASE__		:       Any   							=							1_00
  
  SCREAMING_SNAKE_CASE__		:       int   							=							datasets.Features(
      {"""text""": ArrayaD(SHAPE_TEST_1, dtype="""float32"""), """image""": ArrayaD(SHAPE_TEST_2, dtype="""float32""")}
  )
  
  SCREAMING_SNAKE_CASE__		:       Tuple   							=							os.path.split(__file__)
  SCREAMING_SNAKE_CASE__		:       List[Any]   							=							os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))
  
  
  
  
  
  @get_duration
  def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase					)   -> Any:
  
  					'''simple docstring'''
  					with ArrowWriter(features=__lowerCamelCase   ,       path=os.path.join(__lowerCamelCase   ,       """beta.arrow"""					)					) as writer:
  										for key, record in dummy_data:
  															UpperCAmelCase__			:     int										= my_features.encode_example(__lowerCamelCase					)
  															writer.write(__lowerCamelCase					)
  										UpperCAmelCase__			:     List[str]										= writer.finalize()
  
  
  
  
  
  @get_duration
  def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> Optional[int]:
  
  					'''simple docstring'''
  					UpperCAmelCase__			:     Optional[Any]										= datasets.Dataset.from_file(
  					    filename=os.path.join(__lowerCamelCase   ,       """beta.arrow"""					)   ,       info=datasets.DatasetInfo(features=__lowerCamelCase					)					)
  					for _ in dataset:
  										pass
  
  
  
  
  
  @get_duration
  def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> Dict:
  
  					'''simple docstring'''
  					UpperCAmelCase__			:     List[str]										= datasets.Dataset.from_file(
  					    filename=os.path.join(__lowerCamelCase   ,       """beta.arrow"""					)   ,       info=datasets.DatasetInfo(features=__lowerCamelCase					)					)
  					dataset.set_format("""numpy"""					)
  					for _ in dataset:
  										pass
  
  
  
  
  
  @get_duration
  def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> str:
  
  					'''simple docstring'''
  					UpperCAmelCase__			:     Optional[Any]										= 10
  					UpperCAmelCase__			:     str										= datasets.Dataset.from_file(
  					    filename=os.path.join(__lowerCamelCase   ,       """beta.arrow"""					)   ,       info=datasets.DatasetInfo(features=__lowerCamelCase					)					)
  					for i in range(0   ,       len(__lowerCamelCase					)   ,       __lowerCamelCase					):
  										UpperCAmelCase__			:     str										= dataset[i : i + batch_size]
  
  
  
  
  
  @get_duration
  def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> int:
  
  					'''simple docstring'''
  					UpperCAmelCase__			:     List[Any]										= 10
  					UpperCAmelCase__			:     Tuple										= datasets.Dataset.from_file(
  					    filename=os.path.join(__lowerCamelCase   ,       """beta.arrow"""					)   ,       info=datasets.DatasetInfo(features=__lowerCamelCase					)					)
  					dataset.set_format("""numpy"""					)
  					for i in range(0   ,       len(__lowerCamelCase					)   ,       __lowerCamelCase					):
  										UpperCAmelCase__			:     str										= dataset[i : i + batch_size]
  
  
  
  
  
  @get_duration
  def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> List[Any]:
  
  					'''simple docstring'''
  					UpperCAmelCase__			:     Union[str, Any]										= datasets.Dataset.from_file(
  					    filename=os.path.join(__lowerCamelCase   ,       """beta.arrow"""					)   ,       info=datasets.DatasetInfo(features=__lowerCamelCase					)					)
  					for col in feats:
  										UpperCAmelCase__			:     Union[str, Any]										= dataset[col]
  
  
  
  
  
  @get_duration
  def    _lowerCamelCase	(	__lowerCamelCase   ,       __lowerCamelCase					)   -> List[Any]:
  
  					'''simple docstring'''
  					UpperCAmelCase__			:     Any										= datasets.Dataset.from_file(
  					    filename=os.path.join(__lowerCamelCase   ,       """beta.arrow"""					)   ,       info=datasets.DatasetInfo(features=__lowerCamelCase					)					)
  					dataset.set_format("""numpy"""					)
  					for col in feats:
  										UpperCAmelCase__			:     Union[str, Any]										= dataset[col]
  
  
  
  
  
  def    _lowerCamelCase	(	)   -> str:
  
  					'''simple docstring'''
  					UpperCAmelCase__			:     Any										= {}
  					UpperCAmelCase__			:     str										= (
  					    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:
  										UpperCAmelCase__			:     Optional[Any]										= datasets.Features({"""image""": ArrayaD(__lowerCamelCase   ,       dtype="""float32"""					)}					)
  										UpperCAmelCase__			:     List[str]										= generate_examples(features=__lowerCamelCase   ,       num_examples=__lowerCamelCase					)
  										UpperCAmelCase__			:     Optional[Any]										= write(__lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase					)
  										for read_func in read_functions:
  															UpperCAmelCase__			:     Union[str, Any]										= read_func(__lowerCamelCase   ,       __lowerCamelCase					)
  
  					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])}
  										# )
  										UpperCAmelCase__			:     List[Any]										= datasets.Features({"""image""": datasets.Sequence(datasets.Sequence(datasets.Value("""float32"""					)					)					)}					)
  										UpperCAmelCase__			:     List[Any]										= generate_examples(
  										    features=__lowerCamelCase   ,       num_examples=__lowerCamelCase   ,       seq_shapes={"""image""": SPEED_TEST_SHAPE}					)
  										UpperCAmelCase__			:     Dict										= write(__lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase					)
  										for read_func in read_functions:
  															UpperCAmelCase__			:     Union[str, Any]										= read_func(__lowerCamelCase   ,       __lowerCamelCase					)
  
  					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])}
  										# )
  										UpperCAmelCase__			:     Tuple										= datasets.Features({"""image""": datasets.Sequence(datasets.Value("""float32"""					)					)}					)
  										UpperCAmelCase__			:     Any										= generate_examples(
  										    features=__lowerCamelCase   ,       num_examples=__lowerCamelCase   ,       seq_shapes={"""image""": [SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1]]}   ,       )
  										UpperCAmelCase__			:     Optional[int]										= write(__lowerCamelCase   ,       __lowerCamelCase   ,       __lowerCamelCase					)
  										for read_func in read_functions:
  															UpperCAmelCase__			:     str										= read_func(__lowerCamelCase   ,       __lowerCamelCase					)
  
  					with open(__lowerCamelCase   ,       """wb"""					) as f:
  										f.write(json.dumps(__lowerCamelCase					).encode("""utf-8"""					)					)
  
  
  if __name__ == "__main__":  # useful to run the profiler
  						benchmark_array_xd()
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  from .stack import Stack
  
  
  
  
  
  def    _lowerCamelCase	(	__lowerCamelCase					)   -> bool:
  
       '''simple docstring'''
       UpperCAmelCase__			:     Stack[str]										= Stack()
       UpperCAmelCase__			:     str										= {"""(""": """)""", """[""": """]""", """{""": """}"""}
       for bracket in parentheses:
            if bracket in bracket_pairs:
                 stack.push(__lowerCamelCase					)
            elif bracket in (")", "]", "}"):
                 if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
                      return False
       return stack.is_empty()
  
  
  if __name__ == "__main__":
        from doctest import testmod
  
        testmod()
  
        SCREAMING_SNAKE_CASE__		:       Any   							=							["""((()))""", """((())""", """(()))"""]
        print("""Balanced parentheses demonstration:\n""")
        for example in examples:
              SCREAMING_SNAKE_CASE__		:       List[str]   							=							"""""" if balanced_parentheses(example) else """not """
              print(f'''{example} is {not_str}balanced''')
  
  
  
  
  
  
  