



"""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__		)











class     A     :
			'''simple docstring'''




			def __init__(     self  :       Optional[int]  )      ->      Dict:







					"""simple docstring"""






					A__     =  {}






			def   a_			(     self  :       Any  )      ->      None:







					"""simple docstring"""






					print(self.vertex  )
					for i in self.vertex:
							print(__lowerCAmelCase				,      """ -> """				,      """ -> """.join([str(__lowerCAmelCase  ) for j in self.vertex[i]]  )  )






			def   a_			(     self  :       Optional[int]				,      __lowerCAmelCase  :       int				,      __lowerCAmelCase  :       int  )      ->      None:







					"""simple docstring"""






					if from_vertex in self.vertex:
							self.vertex[from_vertex].append(__lowerCAmelCase  )
					else:
							# else make a new vertex
							A__     =  [to_vertex]






			def   a_			(     self  :       List[str]  )      ->      None:







					"""simple docstring"""






					A__     =  [False] * len(self.vertex  )

					# call the recursive helper function
					for i in range(len(self.vertex  )  ):
							if not visited[i]:
									self.dfs_recursive(__lowerCAmelCase				,      __lowerCAmelCase  )







			def   a_			(     self  :       List[str]				,      __lowerCAmelCase  :       int				,      __lowerCAmelCase  :       list  )      ->      None:







					"""simple docstring"""






					A__     =  True

					print(__lowerCAmelCase				,      end=""" """  )

					# Recur for all the vertices that are adjacent to this node
					for i in self.vertex:
							if not visited[i]:
									self.dfs_recursive(__lowerCAmelCase				,      __lowerCAmelCase  )


if __name__ == "__main__":
					A       :   Tuple					= Graph()
					g.add_edge(0, 1)
					g.add_edge(0, 2)
					g.add_edge(1, 2)
					g.add_edge(2, 0)
					g.add_edge(2, 3)
					g.add_edge(3, 3)

					g.print_graph()
					print('''DFS:''')
					g.dfs()

					# OUTPUT:
					# 0  ->  1 -> 2
					# 1  ->  2
					# 2  ->  0 -> 3
					# 3  ->  3
					# DFS:
					#  0 1 2 3



