
'''simple docstring'''
import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


lowercase__						=			5_0_0_0_0_0

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




@get_duration
def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       int:


		'''simple docstring'''


		snake_case     :					Dict     =	dataset.select(range(0   ,					len(SCREAMING_SNAKE_CASE__ )   ,					2 ) )




@get_duration
def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Dict:


		'''simple docstring'''


		snake_case     :					Any     =	dataset.sort('''numbers''' )




@get_duration
def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       List[str]:


		'''simple docstring'''


		snake_case     :					List[Any]     =	dataset.shuffle()




@get_duration
def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Union[str, Any]:


		'''simple docstring'''


		snake_case     :					str     =	dataset.train_test_split(0.1 )




@get_duration
def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__=10 )     ->       List[Any]:


		'''simple docstring'''


		for shard_id in range(SCREAMING_SNAKE_CASE__ ):
				snake_case     :					List[Any]     =	dataset.shard(SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )




def       _UpperCamelCase	(					)     ->       Dict:


		'''simple docstring'''


		snake_case     :					int     =	{'''num examples''': SPEED_TEST_N_EXAMPLES}
		snake_case     :					Any     =	(select, sort, shuffle, train_test_split, shard)
		with tempfile.TemporaryDirectory() as tmp_dir:
				print('''generating dataset''' )
				snake_case     :					Union[str, Any]     =	datasets.Features({'''text''': datasets.Value('''string''' ), '''numbers''': datasets.Value('''float32''' )} )
				snake_case     :					List[Any]     =	generate_example_dataset(
				    os.path.join(SCREAMING_SNAKE_CASE__   ,					'''dataset.arrow''' )   ,					SCREAMING_SNAKE_CASE__   ,					num_examples=SCREAMING_SNAKE_CASE__ )
				print('''Functions''' )
				for func in functions:
						print(func.__name__ )
						snake_case     :					int     =	func(SCREAMING_SNAKE_CASE__ )

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


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




'''simple docstring'''
def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )     ->       int:


		'''simple docstring'''


		snake_case     :					Optional[Any]     =	0
		for ele in arr:
				total_sum += product_sum(SCREAMING_SNAKE_CASE__   ,					depth + 1 ) if isinstance(SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ ) else ele
		return total_sum * depth




def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       int:


		'''simple docstring'''


		return product_sum(SCREAMING_SNAKE_CASE__   ,					1 )


if __name__ == "__main__":
						import doctest

						doctest.testmod()


