





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        __magic_name__	(				unittest.TestCase				):





     """simple docstring"""



     def __init__(				self							:Any      ,   snake_case							:Optional[int]	):





        '''simple docstring'''




        A_       :					str        =      parent





     def     SCREAMING_SNAKE_CASE		(				self							:Any	):





        '''simple docstring'''




        return {}




def   __snake_case    (       )			->    int:
   A_       :					Tuple        =      "<HTML>\n\n    <HEAD>\n    <TITLE>sample document</TITLE>\n    </HEAD>\n\n    <BODY BGCOLOR=\"FFFFFF\">\n    <HR>\n    <a href=\"http://google.com\">Goog</a>\n    <H1>This is one header</H1>\n    <H2>This is a another Header</H2>\n    <P>Travel from\n        <P>\n        <B>SFO to JFK</B>\n        <BR>\n        <B><I>on May 2, 2015 at 2:00 pm. For details go to confirm.com </I></B>\n        <HR>\n        <div style=\"color:#0000FF\">\n            <h3>Traveler <b> name </b> is\n            <p> John Doe </p>\n        </div>"

   A_       :					int        =      "\n    <!DOCTYPE html>\n    <html>\n    <body>\n\n    <h1>My First Heading</h1>\n    <p>My first paragraph.</p>\n\n    </body>\n    </html>\n    "

   return [html_string_a, html_string_a]





@require_bsa
class        __magic_name__	(				lowerCamelCase__     ,					unittest.TestCase				):





     """simple docstring"""



     __UpperCamelCase            =  MarkupLMFeatureExtractor if is_bsa_available() else None



     def     SCREAMING_SNAKE_CASE		(				self							:List[Any]	):





        '''simple docstring'''




        A_       :					Optional[int]        =      MarkupLMFeatureExtractionTester(self	)



     @property
     def     SCREAMING_SNAKE_CASE		(				self							:str	):





        '''simple docstring'''




        return self.feature_extract_tester.prepare_feat_extract_dict()





     def     SCREAMING_SNAKE_CASE		(				self							:Union[str, Any]	):





        '''simple docstring'''




        A_       :					Optional[int]        =      self.feature_extraction_class()

        # Test not batched input
        A_       :					str        =      get_html_strings()[0]
        A_       :					Tuple        =      feature_extractor(snake_case	)

        # fmt: off
        A_       :					Any        =      [["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"]]
        A_       :					Tuple        =      [["/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      ,   snake_case	)
        self.assertEqual(encoding.xpaths      ,   snake_case	)

        # Test batched
        A_       :					Tuple        =      get_html_strings()
        A_       :					List[str]        =      feature_extractor(snake_case	)

        # fmt: off
        A_       :					str        =      expected_nodes + [["My First Heading", "My first paragraph."]]
        A_       :					Tuple        =      expected_xpaths + [["/html/body/h1", "/html/body/p"]]

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

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







def   __snake_case    (       _lowerCAmelCase			:			int = 1					,					_lowerCAmelCase			:			int = 1000						)			->    int:
   A_       :					Optional[int]        =      1
   A_       :					int        =      0

   for divide_by_number in range(_lowerCAmelCase					,					digit + 1						):
      A_       :					list[int]        =      []
      A_       :					Union[str, Any]        =      numerator
      for _ in range(1					,					digit + 1						):
         if now_divide in has_been_divided:
            if longest_list_length < len(_lowerCAmelCase						):
               A_       :					Optional[Any]        =      len(_lowerCAmelCase						)
               A_       :					Union[str, Any]        =      divide_by_number
         else:
            has_been_divided.append(_lowerCAmelCase						)
            A_       :					Dict        =      now_divide * 10 % divide_by_number

   return the_digit


# Tests
if __name__ == "__main__":
 import doctest

 doctest.testmod()
