






'''simple docstring'''







from random import randint
from tempfile import TemporaryFile

import numpy as np





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase   )   -> List[Any]:
							lowerCamelCase__      :			List[Any] 						= 0
							if start < end:
														lowerCamelCase__      :			Optional[int] 						= randint(UpperCamelCase       ,    UpperCamelCase   )
														lowerCamelCase__      :			Optional[int] 						= a[end]
														lowerCamelCase__      :			Any 						= a[pivot]
														lowerCamelCase__      :			str 						= temp

														lowerCamelCase__						,	lowerCamelCase__      :			Tuple 						= _in_place_partition(UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase   )
														count += _in_place_quick_sort(UpperCamelCase       ,    UpperCamelCase       ,    p - 1   )
														count += _in_place_quick_sort(UpperCamelCase       ,    p + 1       ,    UpperCamelCase   )
							return count





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase   )   -> Tuple:
							lowerCamelCase__      :			Any 						= 0
							lowerCamelCase__      :			Union[str, Any] 						= randint(UpperCamelCase       ,    UpperCamelCase   )
							lowerCamelCase__      :			Tuple 						= a[end]
							lowerCamelCase__      :			Optional[Any] 						= a[pivot]
							lowerCamelCase__      :			int 						= temp
							lowerCamelCase__      :			Optional[int] 						= start - 1
							for index in range(UpperCamelCase       ,    UpperCamelCase   ):
														count += 1
														if a[index] < a[end]:  # check if current val is less than pivot value
																					lowerCamelCase__      :			Any 						= new_pivot_index + 1
																					lowerCamelCase__      :			List[Any] 						= a[new_pivot_index]
																					lowerCamelCase__      :			List[str] 						= a[index]
																					lowerCamelCase__      :			Optional[Any] 						= temp

							lowerCamelCase__      :			Tuple 						= a[new_pivot_index + 1]
							lowerCamelCase__      :			List[str] 						= a[end]
							lowerCamelCase__      :			List[Any] 						= temp
							return new_pivot_index + 1, count


_A			:    Dict					  =TemporaryFile()
_A			:    str					  =100  # 1000 elements are to be sorted


_A  ,   _A			:    Dict					  =0, 1  # mean and standard deviation
_A			:    Any					  =np.random.normal(mu, sigma, p)
np.save(outfile, X)
print('''The array is''')
print(X)


outfile.seek(0)  # using the same array
_A			:    List[str]					  =np.load(outfile)
_A			:    Optional[int]					  =len(M) - 1
_A			:    int					  =_in_place_quick_sort(M, 0, r)

print(
    '''No of Comparisons for 100 elements selected from a standard normal distribution'''
    '''is :'''
)



print(z)









'''simple docstring'''







_A			:    List[str]					  ='''0.21.0'''

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
			from .utils import rich

