




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   ):
				"""simple docstring"""



				def __init__(      self				:     str					,      __lowerCamelCase				:     Optional[int]							)					->     List[str]:
							a    =			parent





				def 							__UpperCAmelCase							(      self				:     Optional[int]							)					->     List[str]:
							return {}




def 			__magic_name__				( ):






			'''simple docstring'''







			a    =			"<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    =			"\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     snake_case__							(_UpperCamelCase    ,       unittest.TestCase   ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_       :							Dict							 =					MarkupLMFeatureExtractor if is_bsa_available() else None





				def 							__UpperCAmelCase							(      self				:     int							)					->     Union[str, Any]:
							a    =			MarkupLMFeatureExtractionTester(self							)





				@property
				def 							__UpperCAmelCase							(      self				:     Optional[int]							)					->     Optional[Any]:
							return self.feature_extract_tester.prepare_feat_extract_dict()





				def 							__UpperCAmelCase							(      self				:     int							)					->     Tuple:
							# Initialize feature_extractor
							a    =			self.feature_extraction_class()

							# Test not batched input
							a    =			get_html_strings()[0]
							a    =			feature_extractor(__lowerCamelCase							)

							# fmt: off
							a    =			[["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    =			[["/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					,      __lowerCamelCase							)
							self.assertEqual(encoding.xpaths					,      __lowerCamelCase							)

							# Test batched
							a    =			get_html_strings()
							a    =			feature_extractor(__lowerCamelCase							)

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

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

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












from bisect import bisect
from itertools import accumulate




def 			__magic_name__				( A		:					Optional[Any],  A		:					List[str],  A		:					Tuple,  A		:					Optional[Any]   ):






			'''simple docstring'''







			a    =			sorted(zip(A,  A   ),  key=lambda A   : x[0] / x[1],  reverse=A   )
			a    ,		a    =			[i[0] for i in r], [i[1] for i in r]
			a    =			list(accumulate(A   )   )
			a    =			bisect(A,  A   )
			return (
			    0
			    if k == 0
			    else sum(vl[:k]   ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
			    if k != n
			    else sum(vl[:k]   )
			)


if __name__ == "__main__":
		import doctest

		doctest.testmod()






