import re
from pathlib import Path
from unittest import TestCase

import pytest


@pytest.mark.integration
class 	lowerCamelCase_     (   UpperCAmelCase_ ):






    '''simple docstring'''






    def 			UpperCamelCase__   (	self , __lowercase)       ->	Optional[int]:

        with open(__lowercase , encoding='''utf-8''') as input_file:
            __UpperCamelCase     :str			  =		re.compile(r'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)''')
            __UpperCamelCase     :str			  =		input_file.read()
            __UpperCamelCase     :Optional[Any]			  =		regexp.search(__lowercase)

        return match







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int:

        with open(__lowercase , encoding='''utf-8''') as input_file:
            __UpperCamelCase     :Any			  =		re.compile(r'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()''' , re.DOTALL)
            __UpperCamelCase     :Optional[int]			  =		input_file.read()
            # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
            __UpperCamelCase     :List[Any]			  =		regexp.finditer(__lowercase)

        __UpperCamelCase     :Optional[Any]			  =		[match for match in matches if match is not None and match.group(1) is not None]
        return matches[0] if matches else None







    def 			UpperCamelCase__   (	self)       ->	int:
        __UpperCamelCase     :Tuple			  =		Path('''./datasets''')
        __UpperCamelCase     :Tuple			  =		list(dataset_paths.absolute().glob('''**/*.py'''))

        for dataset in dataset_files:
            if self._no_encoding_on_file_open(str(__lowercase)):
                raise AssertionError(f"""open(...) must use utf-8 encoding in {dataset}""")







    def 			UpperCamelCase__   (	self)       ->	Optional[int]:
        __UpperCamelCase     :str			  =		Path('''./datasets''')
        __UpperCamelCase     :str			  =		list(dataset_paths.absolute().glob('''**/*.py'''))

        for dataset in dataset_files:
            if self._no_print_statements(str(__lowercase)):
                raise AssertionError(f"""print statement found in {dataset}. Use datasets.logger/logging instead.""")






'''simple docstring'''




def 							lowerCamelCase	(      UpperCAmelCase__       :					list )			->      list:
							if any(not isinstance(UpperCAmelCase__      ,      UpperCAmelCase__ ) or x < 0 for x in sequence ):
														raise TypeError("""Sequence must be list of non-negative integers""" )
							for _ in range(len(UpperCAmelCase__ ) ):
														for i, (rod_upper, rod_lower) in enumerate(zip(UpperCAmelCase__      ,      sequence[1:] ) ):
																					if rod_upper > rod_lower:
																												sequence[i] -= rod_upper - rod_lower
																												sequence[i + 1] += rod_upper - rod_lower
							return sequence


if __name__ == "__main__":
						assert bead_sort([5, 4, 3, 2, 1]) == [1, 2, 3, 4, 5]
						assert bead_sort([7, 9, 4, 3, 5]) == [3, 4, 5, 7, 9]





