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 __snake_case       (		unittest.TestCase	):




			def __init__(					self    :       Union[str, Any] ,			_lowercase    :       List[str]   ):



					"""simple docstring"""






					SCREAMING_SNAKE_CASE__    							=   parent




			def 			__a		(					self    :       str   ):



					"""simple docstring"""






					return {}





def 			__SCREAMING_SNAKE_CASE						(      )							->      Tuple:







		"""simple docstring"""





		SCREAMING_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>"""

		SCREAMING_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 __snake_case       (		lowerCamelCase_     ,	unittest.TestCase	):
			lowerCAmelCase_														=							MarkupLMFeatureExtractor if is_bsa_available() else None




			def 			__a		(					self    :       str   ):



					"""simple docstring"""






					SCREAMING_SNAKE_CASE__    							=   MarkupLMFeatureExtractionTester(self   )




			@property
			def 			__a		(					self    :       Union[str, Any]   ):



					"""simple docstring"""






					return self.feature_extract_tester.prepare_feat_extract_dict()




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



					"""simple docstring"""






					SCREAMING_SNAKE_CASE__    							=   self.feature_extraction_class()

					# Test not batched input
					SCREAMING_SNAKE_CASE__    							=   get_html_strings()[0]
					SCREAMING_SNAKE_CASE__    							=   feature_extractor(_lowercase   )

					# fmt: off
					SCREAMING_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"""]]
					SCREAMING_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 ,			_lowercase   )
					self.assertEqual(encoding.xpaths ,			_lowercase   )

					# Test batched
					SCREAMING_SNAKE_CASE__    							=   get_html_strings()
					SCREAMING_SNAKE_CASE__    							=   feature_extractor(_lowercase   )

					# fmt: off
					SCREAMING_SNAKE_CASE__    							=   expected_nodes + [["""My First Heading""", """My first paragraph."""]]
					SCREAMING_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 ,			_lowercase   )
					self.assertEqual(encoding.xpaths ,			_lowercase   )

def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: list				,  __UpperCamelCase					: list				,  __UpperCamelCase					: int				,  __UpperCamelCase					: int				,  __UpperCamelCase					: int			)							->      int:







  """simple docstring"""





  if index == number_of_items:
    return 0
  SCREAMING_SNAKE_CASE__    							=   0
  SCREAMING_SNAKE_CASE__    							=   0
  SCREAMING_SNAKE_CASE__    							=   knapsack(__UpperCamelCase				,  __UpperCamelCase				,  __UpperCamelCase				,  __UpperCamelCase				,  index + 1			)
  if weights[index] <= max_weight:
    SCREAMING_SNAKE_CASE__    							=   values[index] + knapsack(
        __UpperCamelCase				,  __UpperCamelCase				,  __UpperCamelCase				,  max_weight - weights[index]				,  index + 1			)
  return max(__UpperCamelCase				,  __UpperCamelCase			)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
