"""simple docstring"""







import json
import os
from dataclasses import dataclass

import numpy as np
import pyarrow as pa

import datasets
from utils import get_duration


UpperCamelCase_    :    List[Any]											=						1000_0000_0000
UpperCamelCase_    :    Tuple											=						1_0000

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


def 					a__ (						UpperCAmelCase__    :     int						,     UpperCAmelCase__    :     int							)->		datasets.Dataset:
						UpperCAmelCase__   		=						pa.Table.from_pydict({"""col""": [0] * chunk_size}							)
						UpperCAmelCase__   		=						pa.concat_tables([table] * (num_examples // chunk_size)							)
						return datasets.Dataset(UpperCAmelCase__						,     fingerprint="""table_100B"""							)


@dataclass
class      _lowercase						:
				lowerCamelCase__									=    42
				lowerCamelCase__									=    42
				lowerCamelCase__									=    42
				lowerCamelCase__									=    42

				def     A	(       self    :      Optional[Any]       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						np.random.default_rng(self.seed       )
										UpperCAmelCase__   		=						rng.integers(low=self.low    ,      high=self.high    ,      size=self.size       ).tolist()

				def __iter__(       self    :      Any       ):


										'''simple docstring'''
										return iter(self._sampled_values       )

				def __len__(       self    :      Union[str, Any]       ):


										'''simple docstring'''
										return self.size


@get_duration
def 					a__ (						UpperCAmelCase__    :     datasets.Dataset							)->		List[str]:
						UpperCAmelCase__   		=						dataset[0]


@get_duration
def 					a__ (						UpperCAmelCase__    :     datasets.Dataset							)->		Dict:
						UpperCAmelCase__   		=						dataset[-1]


@get_duration
def 					a__ (						UpperCAmelCase__    :     datasets.Dataset							)->		Any:
						UpperCAmelCase__   		=						dataset[range(len(UpperCAmelCase__							) // 2						,     len(UpperCAmelCase__							) // 2 + 1_0_2_4							)]


@get_duration
def 					a__ (						UpperCAmelCase__    :     datasets.Dataset							)->		Optional[Any]:
						UpperCAmelCase__   		=						dataset[RandIter(0						,     len(UpperCAmelCase__							)						,     1_0_2_4						,     seed=4_2							)]


def 					a__ (						)->		Tuple:
						UpperCAmelCase__   		=						{'num examples': SPEED_TEST_N_EXAMPLES}
						UpperCAmelCase__   		=						(get_first_row, get_last_row, get_batch_of_aaaa_rows, get_batch_of_aaaa_random_rows)
						print("""generating dataset"""							)
						UpperCAmelCase__   		=						generate_100B_dataset(num_examples=UpperCAmelCase__						,     chunk_size=UpperCAmelCase__							)
						print("""Functions"""							)
						for func in functions:
												print(func.__name__							)
												UpperCAmelCase__   		=						func(UpperCAmelCase__							)

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


if __name__ == "__main__":  # useful to run the profiler
						benchmark_table_100B()


"""simple docstring"""







from collections import namedtuple

UpperCamelCase_    :    Any											=						namedtuple("""from_to""", """from_ to""")

UpperCamelCase_    :    Union[str, Any]											=						{
    """millimeter""": """mm""",
    """centimeter""": """cm""",
    """meter""": """m""",
    """kilometer""": """km""",
    """inch""": """in""",
    """inche""": """in""",  # Trailing 's' has been stripped off
    """feet""": """ft""",
    """foot""": """ft""",
    """yard""": """yd""",
    """mile""": """mi""",
}

UpperCamelCase_    :    str											=						{
    """mm""": from_to(0.001, 1000),
    """cm""": from_to(0.01, 100),
    """m""": from_to(1, 1),
    """km""": from_to(1000, 0.001),
    """in""": from_to(0.0254, 39.3701),
    """ft""": from_to(0.3048, 3.2_8084),
    """yd""": from_to(0.9144, 1.0_9361),
    """mi""": from_to(1609.34, 0.0_0062_1371),
}


def 					a__ (						UpperCAmelCase__    :     float						,     UpperCAmelCase__    :     str						,     UpperCAmelCase__    :     str     )->		float:
						UpperCAmelCase__   		=						from_type.lower().rstrip("""s"""     )
						UpperCAmelCase__   		=						TYPE_CONVERSION.get(UpperCAmelCase__						,     UpperCAmelCase__     )
						UpperCAmelCase__   		=						to_type.lower().rstrip("""s"""     )
						UpperCAmelCase__   		=						TYPE_CONVERSION.get(UpperCAmelCase__						,     UpperCAmelCase__     )
						if new_from not in METRIC_CONVERSION:
												UpperCAmelCase__   		=						(
												    f'Invalid \'from_type\' value: {from_type!r}.\n'
												    f'Conversion abbreviations are: {", ".join(UpperCAmelCase__     )}'
												)
												raise ValueError(UpperCAmelCase__     )
						if new_to not in METRIC_CONVERSION:
												UpperCAmelCase__   		=						(
												    f'Invalid \'to_type\' value: {to_type!r}.\n'
												    f'Conversion abbreviations are: {", ".join(UpperCAmelCase__     )}'
												)
												raise ValueError(UpperCAmelCase__     )
						return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
						import doctest

						doctest.testmod()

