

from random import randint
from tempfile import TemporaryFile

import numpy as np





def 	__a     (      A__			:  str			,  A__			:  List[Any]			,  A__			:  List[Any]       ):
    SCREAMING_SNAKE_CASE										=   0
    if start < end:
        SCREAMING_SNAKE_CASE										=   randint(A__			,  A__       )
        SCREAMING_SNAKE_CASE										=   a[end]
        SCREAMING_SNAKE_CASE										=   a[pivot]
        SCREAMING_SNAKE_CASE										=   temp

        SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE										=   _in_place_partition(A__			,  A__			,  A__       )
        count += _in_place_quick_sort(A__			,  A__			,  p - 1       )
        count += _in_place_quick_sort(A__			,  p + 1			,  A__       )
    return count





def 	__a     (      A__			:  Optional[Any]			,  A__			:  List[str]			,  A__			:  List[str]       ):
    SCREAMING_SNAKE_CASE										=   0
    SCREAMING_SNAKE_CASE										=   randint(A__			,  A__       )
    SCREAMING_SNAKE_CASE										=   a[end]
    SCREAMING_SNAKE_CASE										=   a[pivot]
    SCREAMING_SNAKE_CASE										=   temp
    SCREAMING_SNAKE_CASE										=   start - 1
    for index in range(A__			,  A__       ):
        count += 1
        if a[index] < a[end]:  # check if current val is less than pivot value
            SCREAMING_SNAKE_CASE										=   new_pivot_index + 1
            SCREAMING_SNAKE_CASE										=   a[new_pivot_index]
            SCREAMING_SNAKE_CASE										=   a[index]
            SCREAMING_SNAKE_CASE										=   temp

    SCREAMING_SNAKE_CASE										=   a[new_pivot_index + 1]
    SCREAMING_SNAKE_CASE										=   a[end]
    SCREAMING_SNAKE_CASE										=   temp
    return new_pivot_index + 1, count


__A			:					Optional[int]						=			TemporaryFile()
__A			:					Dict						=			1_0_0  # 1000 elements are to be sorted


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


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

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





print(z)


import os
import re
import shutil
import sys
import tempfile
import unittest

import black


_lowerCamelCase      :					Union[str, Any]					    =      os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
_lowerCamelCase      :					str					    =      '''    \"""
    Output class for the scheduler\'s step function output.

    Args:
        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the
            denoising loop.
        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            The predicted denoised sample (x_{0}) based on the model output from the current timestep.
            `pred_original_sample` can be used to preview progress or for guidance.
    \"""

    prev_sample: torch.FloatTensor
    pred_original_sample: Optional[torch.FloatTensor] = None
'''





class        lowerCAmelCase__  (					unittest.TestCase			):



       '''simple docstring'''







       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             __A    =tempfile.mkdtemp()
             os.makedirs(os.path.join(self.diffusers_dir ,   '''schedulers/'''     )     )
             __A    =self.diffusers_dir
             shutil.copy(
                 os.path.join(lowercase__ ,   '''src/diffusers/schedulers/scheduling_ddpm.py'''     ) ,   os.path.join(self.diffusers_dir ,   '''schedulers/scheduling_ddpm.py'''     ) ,   )

       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             __A    ='''src/diffusers'''
             shutil.rmtree(self.diffusers_dir     )

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ ,   lowercase__ ,   lowercase__=None     ):







             '''simple docstring'''



             __A    =comment + f'''\nclass {class_name}(nn.Module):\n''' + class_code
             if overwrite_result is not None:
                   __A    =comment + f'''\nclass {class_name}(nn.Module):\n''' + overwrite_result
             __A    =black.Mode(target_versions={black.TargetVersion.PYaa} ,   line_length=1_1_9     )
             __A    =black.format_str(lowercase__ ,   mode=lowercase__     )
             __A    =os.path.join(self.diffusers_dir ,   '''new_code.py'''     )
             with open(lowercase__ ,   '''w''' ,   newline='''\n'''     ) as f:
                   f.write(lowercase__     )
             if overwrite_result is None:
                   self.assertTrue(len(check_copies.is_copy_consistent(lowercase__     )     ) == 0     )
             else:
                   check_copies.is_copy_consistent(f.name ,   overwrite=lowercase__     )
                   with open(lowercase__ ,   '''r'''     ) as f:
                         self.assertTrue(f.read() ,   lowercase__     )

       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             __A    =check_copies.find_code_in_diffusers('''schedulers.scheduling_ddpm.DDPMSchedulerOutput'''     )
             self.assertEqual(lowercase__ ,   lowercase__     )


       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             self.check_copy_consistency(
                 '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput''' ,   '''DDPMSchedulerOutput''' ,   REFERENCE_CODE + '''\n''' ,   )

             # With no empty line at the end
             self.check_copy_consistency(
                 '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput''' ,   '''DDPMSchedulerOutput''' ,   lowercase__ ,   )

             # Copy consistency with rename
             self.check_copy_consistency(
                 '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test''' ,   '''TestSchedulerOutput''' ,   re.sub('''DDPM''' ,   '''Test''' ,   lowercase__     ) ,   )

             # Copy consistency with a really long name
             __A    ='''TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason'''
             self.check_copy_consistency(
                 f'''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}''' ,   f'''{long_class_name}SchedulerOutput''' ,   re.sub('''Bert''' ,   lowercase__ ,   lowercase__     ) ,   )

             # Copy consistency with overwrite
             self.check_copy_consistency(
                 '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test''' ,   '''TestSchedulerOutput''' ,   lowercase__ ,   overwrite_result=re.sub('''DDPM''' ,   '''Test''' ,   lowercase__     ) ,   )


