





'''simple docstring'''


import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


lowerCAmelCase					:     Tuple												=50_000
lowerCAmelCase					:     Any												=5_000

lowerCAmelCase							,		lowerCAmelCase					:     Dict												=os.path.split(__file__)
lowerCAmelCase					:     int												=os.path.join(RESULTS_BASEPATH, '''results''', RESULTS_FILENAME.replace('''.py''', '''.json'''))
@get_duration
def 							UpperCAmelCase_  (						__lowerCamelCase					:					Optional[Any]	,__lowerCamelCase					:					Dict ):





   for i in range(__snake_case ):
      lowercase_			:Tuple    			= dataset[i]
@get_duration
def 							UpperCAmelCase_  (						__lowerCamelCase					:					Any	,__lowerCamelCase					:					Dict	,__lowerCamelCase					:					Optional[int] ):





   for i in range(0	,len(__snake_case )	,__snake_case ):
      lowercase_			:List[Any]    			= dataset[i : i + batch_size]
@get_duration
def 							UpperCAmelCase_  (						__lowerCamelCase					:					Any	,__lowerCamelCase					:					Optional[int]	,__lowerCamelCase					:					Optional[int] ):





   with dataset.formatted_as(type=__snake_case ):
      for i in range(__snake_case ):
         lowercase_			:Any    			= dataset[i]
@get_duration
def 							UpperCAmelCase_  (						__lowerCamelCase					:					Tuple	,__lowerCamelCase					:					Union[str, Any]	,__lowerCamelCase					:					Optional[int]	,__lowerCamelCase					:					str ):





   with dataset.formatted_as(type=__snake_case ):
      for i in range(0	,__snake_case	,__snake_case ):
         lowercase_			:Optional[Any]    			= dataset[i : i + batch_size]
def 							UpperCAmelCase_  (						):
   lowercase_			:int    			= {"num examples": SPEED_TEST_N_EXAMPLES}
   lowercase_			:Union[str, Any]    			= [
       (read, {"length": SMALL_TEST}),
       (read, {"length": SPEED_TEST_N_EXAMPLES}),
       (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 10}),
       (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 1_00}),
       (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 10_00}),
       (read_formatted, {"type": "numpy", "length": SMALL_TEST}),
       (read_formatted, {"type": "pandas", "length": SMALL_TEST}),
       (read_formatted, {"type": "torch", "length": SMALL_TEST}),
       (read_formatted, {"type": "tensorflow", "length": SMALL_TEST}),
       (read_formatted_batch, {"type": "numpy", "length": SMALL_TEST, "batch_size": 10}),
       (read_formatted_batch, {"type": "numpy", "length": SMALL_TEST, "batch_size": 10_00}),
   ]

   lowercase_			:Dict    			= [
       (read, {"length": SMALL_TEST}),
       (read, {"length": SPEED_TEST_N_EXAMPLES}),
       (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 10}),
       (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 1_00}),
       (read_batch, {"length": SPEED_TEST_N_EXAMPLES, "batch_size": 10_00}),
       (read_formatted, {"type": "numpy", "length": SMALL_TEST}),
       (read_formatted_batch, {"type": "numpy", "length": SMALL_TEST, "batch_size": 10}),
       (read_formatted_batch, {"type": "numpy", "length": SMALL_TEST, "batch_size": 10_00}),
   ]
   with tempfile.TemporaryDirectory() as tmp_dir:
      print("generating dataset" )
      lowercase_			:Optional[int]    			= datasets.Features(
          {"list": datasets.Sequence(datasets.Value("float32" ) ), "numbers": datasets.Value("float32" )} )
      lowercase_			:int    			= generate_example_dataset(
          os.path.join(__snake_case	,"dataset.arrow" )	,__snake_case	,num_examples=__snake_case	,seq_shapes={"list": (1_00,)}	,)
      print("first set of iterations" )
      for func, kwargs in functions:
         print(func.__name__	,str(__snake_case ) )
         lowercase_			:str    			= func(__snake_case	,**__snake_case )

      print("shuffling dataset" )
      lowercase_			:List[str]    			= dataset.shuffle()
      print("Second set of iterations (after shuffling" )
      for func, kwargs in functions_shuffled:
         print("shuffled "	,func.__name__	,str(__snake_case ) )
         lowercase_			:str    			= 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_iterating()




"""simple docstring"""





from __future__ import annotations



def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		int | float:


					"""simple docstring"""





					if len(__snake_case	) == 0:
										raise ValueError('''find_max() arg is an empty sequence'''	)
					if (
					    left >= len(__snake_case	)
					    or left < -len(__snake_case	)
					    or right >= len(__snake_case	)
					    or right < -len(__snake_case	)
					):
										raise IndexError('''list index out of range'''	)
					if left == right:
										return nums[left]
					_UpperCamelCase							 =  (left + right) >> 1  # the middle
					_UpperCamelCase							 =  find_max(__snake_case,     __snake_case,     __snake_case	)  # find max in range[left, mid]
					_UpperCamelCase							 =  find_max(__snake_case,     mid + 1,     __snake_case	)  # find max in range[mid + 1, right]

					return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
				import doctest

				doctest.testmod(verbose=True)






