"""simple docstring"""



import unittest

from transformers.testing_utils import require_bsa
from transformers.utils import is_bsa_available

from ...test_feature_extraction_common import FeatureExtractionSavingTestMixin


if is_bsa_available():
       from transformers import MarkupLMFeatureExtractor



class      _A	(						unittest.TestCase					):




    """simple docstring"""




    def __init__(		self							:     Dict	,      A_							:     Any    )    ->       str:
         __snake_case				=							parent







    def  lowercase					(		self							:     List[str]    )    ->       str:
         return {}






def    SCREAMING_SNAKE_CASE       (     ):
     __snake_case				=							'''<HTML>

    <HEAD>
    <TITLE>sample document</TITLE>
    </HEAD>

    <BODY BGCOLOR="FFFFFF">
    <HR>
    <a href="http://google.com">Goog</a>
    <H1>This is one header</H1>
    <H2>This is a another Header</H2>
    <P>Travel from
        <P>
        <B>SFO to JFK</B>
        <BR>
        <B><I>on May 2, 2015 at 2:00 pm. For details go to confirm.com </I></B>
        <HR>
        <div style="color:#0000FF">
            <h3>Traveler <b> name </b> is
            <p> John Doe </p>
        </div>'''

     __snake_case				=							'''
    <!DOCTYPE html>
    <html>
    <body>

    <h1>My First Heading</h1>
    <p>My first paragraph.</p>

    </body>
    </html>
    '''

     return [html_string_a, html_string_a]




@require_bsa
class      _A	(						_UpperCAmelCase							, unittest.TestCase					):




    """simple docstring"""




    UpperCamelCase_	:					Any							=					MarkupLMFeatureExtractor if is_bsa_available() else None
    def  lowercase					(		self							:     List[Any]    )    ->       List[str]:
         __snake_case				=							MarkupLMFeatureExtractionTester(self    )
    @property
    def  lowercase					(		self							:     int    )    ->       int:
         return self.feature_extract_tester.prepare_feat_extract_dict()







    def  lowercase					(		self							:     Any    )    ->       int:
         # Initialize feature_extractor
         __snake_case				=							self.feature_extraction_class()

         # Test not batched input
         __snake_case				=							get_html_strings()[0]
         __snake_case				=							feature_extractor(A_    )

         # fmt: off
         __snake_case				=							[['''sample document''', '''Goog''', '''This is one header''', '''This is a another Header''', '''Travel from''', '''SFO to JFK''', '''on May 2, 2015 at 2:00 pm. For details go to confirm.com''', '''Traveler''', '''name''', '''is''', '''John Doe''']]
         __snake_case				=							[['''/html/head/title''', '''/html/body/a''', '''/html/body/h1''', '''/html/body/h2''', '''/html/body/p''', '''/html/body/p/p/b[1]''', '''/html/body/p/p/b[2]/i''', '''/html/body/p/p/div/h3''', '''/html/body/p/p/div/h3/b''', '''/html/body/p/p/div/h3''', '''/html/body/p/p/div/h3/p''']]
         # fmt: on

         self.assertEqual(encoding.nodes	,      A_    )
         self.assertEqual(encoding.xpaths	,      A_    )

         # Test batched
         __snake_case				=							get_html_strings()
         __snake_case				=							feature_extractor(A_    )

         # fmt: off
         __snake_case				=							expected_nodes + [['''My First Heading''', '''My first paragraph.''']]
         __snake_case				=							expected_xpaths + [['''/html/body/h1''', '''/html/body/p''']]

         self.assertEqual(len(encoding.nodes    )	,      2    )
         self.assertEqual(len(encoding.xpaths    )	,      2    )

         self.assertEqual(encoding.nodes	,      A_    )
         self.assertEqual(encoding.xpaths	,      A_    )
"""simple docstring"""



def    SCREAMING_SNAKE_CASE       (     snake_case):
     __snake_case				=							len(snake_case)
     for i in range(length - 1):
          __snake_case				=							i
          for k in range(i + 1,      snake_case):
               if collection[k] < collection[least]:
                    __snake_case				=							k
          if least != i:
               __snake_case		,	__snake_case				=							(collection[i], collection[least])
     return collection


if __name__ == "__main__":
       __lowercase		:		Optional[Any]														=							input("Enter numbers separated by a comma:\n").strip()
       __lowercase		:		Tuple														=							[int(item) for item in user_input.split(",")]
       print(selection_sort(unsorted))