






"""simple docstring"""
from __future__ import annotations

from bisect import bisect_left
from functools import total_ordering
from heapq import merge


@total_ordering
class _lowerCAmelCase						(    __UpperCAmelCase       ):







						def __lt__(    self   ,				lowerCAmelCase_							)		->							Tuple:
										return self[-1] < other[-1]







						def __eq__(    self   ,				lowerCAmelCase_							)		->							Optional[Any]:
										return self[-1] == other[-1]







def 				lowercase__		(					lowerCamelCase       ):
				_SCREAMING_SNAKE_CASE   :		list[Stack]       		=    []
				# sort into stacks
				for element in collection:
								_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    Stack([element]       )
								_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    bisect_left(lowerCamelCase,						lowerCamelCase       )
								if i != len(lowerCamelCase       ):
												stacks[i].append(lowerCamelCase       )
								else:
												stacks.append(lowerCamelCase       )

    # use a heap-based merge to merge stack efficiently
				_SCREAMING_SNAKE_CASE   :		int       		=    merge(*(reversed(lowerCamelCase       ) for stack in stacks)       )
				return collection


if __name__ == "__main__":
			lowerCAmelCase__    						=			input('Enter numbers separated by a comma:\n').strip()
			lowerCAmelCase__    						=			[int(item) for item in user_input.split(',')]
			print(patience_sort(unsorted))









"""simple docstring"""
lowerCAmelCase__    						=			'\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

lowerCAmelCase__    						=			[{'type': 'code', 'content': INSTALL_CONTENT}]
lowerCAmelCase__    						=			{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}

