





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 			__UpperCamelCase    (							unittest.TestCase    ):





     def __init__(     self				,							_UpperCamelCase					):
        _UpperCAmelCase           =   parent





     def 		UpperCamelCase(     self					):
        return {}




def      A__       (    )  ->  Union[str, Any]:






   """simple docstring"""







   _UpperCAmelCase           =   '''<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>'''

   _UpperCAmelCase           =   '''
    <!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 			__UpperCamelCase    (							A__	, unittest.TestCase    ):
     __A	:  Optional[int]							  =   MarkupLMFeatureExtractor if is_bsa_available() else None





     def 		UpperCamelCase(     self					):
        _UpperCAmelCase           =   MarkupLMFeatureExtractionTester(self					)





     @property
     def 		UpperCamelCase(     self					):
        return self.feature_extract_tester.prepare_feat_extract_dict()





     def 		UpperCamelCase(     self					):
        # Initialize feature_extractor
        _UpperCAmelCase           =   self.feature_extraction_class()

        # Test not batched input
        _UpperCAmelCase           =   get_html_strings()[0]
        _UpperCAmelCase           =   feature_extractor(_UpperCamelCase					)

        # fmt: off
        _UpperCAmelCase           =   [['''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''']]
        _UpperCAmelCase           =   [['''/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				,							_UpperCamelCase					)
        self.assertEqual(encoding.xpaths				,							_UpperCamelCase					)

        # Test batched
        _UpperCAmelCase           =   get_html_strings()
        _UpperCAmelCase           =   feature_extractor(_UpperCamelCase					)

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

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

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






from string import ascii_uppercase

UpperCAmelCase_							=				{char: i for i, char in enumerate(ascii_uppercase)}
UpperCAmelCase_							=				dict(enumerate(ascii_uppercase))





def  __magic_name__  (				lowercase				,       lowercase				)				-> str:

							"""simple docstring"""



							lowercase_	:   Dict  				=     len(lowercase				)
							lowercase_	:   Tuple  				=     0
							while True:
														if x == i:
																					lowercase_	:   Dict  				=     0
														if len(lowercase				) == len(lowercase				):
																					break
														key += key[i]
														i += 1
							return key





def  __magic_name__  (				lowercase				,       lowercase				)				-> str:

							"""simple docstring"""



							lowercase_	:   Any  				=     """"""
							lowercase_	:   Optional[Any]  				=     0
							for letter in message:
														if letter == " ":
																					cipher_text += " "
														else:
																					lowercase_	:   Any  				=     (dicta[letter] - dicta[key_new[i]]) % 26
																					i += 1
																					cipher_text += dicta[x]
							return cipher_text





def  __magic_name__  (				lowercase				,       lowercase				)				-> str:

							"""simple docstring"""



							lowercase_	:   Optional[Any]  				=     """"""
							lowercase_	:   Optional[Any]  				=     0
							for letter in cipher_text:
														if letter == " ":
																					or_txt += " "
														else:
																					lowercase_	:   Optional[int]  				=     (dicta[letter] + dicta[key_new[i]] + 26) % 26
																					i += 1
																					or_txt += dicta[x]
							return or_txt





def  __magic_name__  (				)				-> None:

							"""simple docstring"""



							lowercase_	:   Union[str, Any]  				=     """THE GERMAN ATTACK"""
							lowercase_	:   str  				=     """SECRET"""
							lowercase_	:   int  				=     generate_key(lowercase				,       lowercase				)
							lowercase_	:   List[str]  				=     cipher_text(lowercase				,       lowercase				)
							print(f"""Encrypted Text = {s}"""				)
							print(f"""Original Text = {original_text(lowercase				,       lowercase				)}"""				)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()