



"""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       UpperCamelCase__			(   unittest.TestCase      ):

			"""simple docstring"""


			def __init__(      self						,	SCREAMING_SNAKE_CASE__		)      ->	Optional[int]:
				A__											=					parent







			def   snake_case__	(      self		)      ->	List[Any]:
				return {}



def       _lowerCamelCase				(							)	-> Tuple:






	"""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       UpperCamelCase__			(   _lowerCAmelCase       ,		unittest.TestCase      ):

			"""simple docstring"""


			A__	:					Any							  =     MarkupLMFeatureExtractor if is_bsa_available() else None


			def   snake_case__	(      self		)      ->	Union[str, Any]:
				A__											=					MarkupLMFeatureExtractionTester(self		)


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







			def   snake_case__	(      self		)      ->	Union[str, Any]:
				# Initialize feature_extractor
				A__											=					self.feature_extraction_class()

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

				# 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						,	SCREAMING_SNAKE_CASE__		)
				self.assertEqual(encoding.xpaths						,	SCREAMING_SNAKE_CASE__		)

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

				# 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						,	SCREAMING_SNAKE_CASE__		)
				self.assertEqual(encoding.xpaths						,	SCREAMING_SNAKE_CASE__		)









from __future__ import annotations






class     __a			:



	def __init__(    self				:     List[Any]					,						snake_case_				:     str					,						snake_case_				:     str)->				Optional[int]:
						__lowerCAmelCase ,						__lowerCAmelCase						 =text, pattern
						__lowerCAmelCase ,						__lowerCAmelCase						 =len(snake_case_), len(snake_case_)



	def 		UpperCamelCase				(    self				:     List[Any]					,						snake_case_				:     str)->				int:

						for i in range(self.patLen - 1					,						-1					,						-1):
											if char == self.pattern[i]:
																return i
						return -1



	def 		UpperCamelCase				(    self				:     List[str]					,						snake_case_				:     int)->				int:

						for i in range(self.patLen - 1					,						-1					,						-1):
											if self.pattern[i] != self.text[current_pos + i]:
																return current_pos + i
						return -1



	def 		UpperCamelCase				(    self				:     Dict)->				list[int]:
						# searches pattern in text and returns index positions
						__lowerCAmelCase						 =[]
						for i in range(self.textLen - self.patLen + 1):
											__lowerCAmelCase						 =self.mismatch_in_text(snake_case_)
											if mismatch_index == -1:
																positions.append(snake_case_)
											else:
																__lowerCAmelCase						 =self.match_in_pattern(self.text[mismatch_index])
																__lowerCAmelCase						 =(
																    mismatch_index - match_index
																)  # shifting index lgtm [py/multiple-definition]
						return positions


lowercase_													=      '''ABAABA'''
lowercase_													=      '''AB'''
lowercase_													=      BoyerMooreSearch(text, pattern)
lowercase_													=      bms.bad_character_heuristic()

if len(positions) == 0:
				print('''No match found''')
else:
				print('''Pattern found in following positions: ''')
				print(positions)




