





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    ):





     def __init__(     self				,							_UpperCamelCase					):
        _UpperCAmelCase           =   parent





     def 		UpperCamelCase(     self					):
        return {}




def      A__       (    )  ->  Union[str, Any]:






   """simple docstring"""







   _UpperCAmelCase           =   '''<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>'''

   _UpperCAmelCase           =   '''
    <!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 			__UpperCamelCase    (							A__	, unittest.TestCase    ):
     __A	:  Optional[int]							  =   MarkupLMFeatureExtractor if is_bsa_available() else None





     def 		UpperCamelCase(     self					):
        _UpperCAmelCase           =   MarkupLMFeatureExtractionTester(self					)





     @property
     def 		UpperCamelCase(     self					):
        return self.feature_extract_tester.prepare_feat_extract_dict()





     def 		UpperCamelCase(     self					):
        # Initialize feature_extractor
        _UpperCAmelCase           =   self.feature_extraction_class()

        # Test not batched input
        _UpperCAmelCase           =   get_html_strings()[0]
        _UpperCAmelCase           =   feature_extractor(_UpperCamelCase					)

        # fmt: off
        _UpperCAmelCase           =   [['''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''']]
        _UpperCAmelCase           =   [['''/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				,							_UpperCamelCase					)
        self.assertEqual(encoding.xpaths				,							_UpperCamelCase					)

        # Test batched
        _UpperCAmelCase           =   get_html_strings()
        _UpperCAmelCase           =   feature_extractor(_UpperCamelCase					)

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

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

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






def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> int:




    """simple docstring"""




    print('\nThe shortest path matrix using Floyd Warshall algorithm\n'				)
    for i in range(_SCREAMING_SNAKE_CASE				):
        for j in range(_SCREAMING_SNAKE_CASE				):
            if dist[i][j] != float('inf'				):
                print(int(dist[i][j]				)							,     end='\t'				)
            else:
                print('INF'							,     end='\t'				)
        print()





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> str:




    """simple docstring"""




    _A     =							[[float('inf'				) for _ in range(_SCREAMING_SNAKE_CASE				)] for _ in range(_SCREAMING_SNAKE_CASE				)]

    for i in range(_SCREAMING_SNAKE_CASE				):
        for j in range(_SCREAMING_SNAKE_CASE				):
            _A     =							graph[i][j]

            # check vertex k against all other vertices (i, j)
    for k in range(_SCREAMING_SNAKE_CASE				):
        # looping through rows of graph array
        for i in range(_SCREAMING_SNAKE_CASE				):
            # looping through columns of graph array
            for j in range(_SCREAMING_SNAKE_CASE				):
                if (
                    dist[i][k] != float('inf'				)
                    and dist[k][j] != float('inf'				)
                    and dist[i][k] + dist[k][j] < dist[i][j]
                ):
                    _A     =							dist[i][k] + dist[k][j]

    _print_dist(_SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)
    return dist, v


if __name__ == "__main__":
 __A							:			Dict         =			int(input("Enter number of vertices: "))
 __A							:			Union[str, Any]         =			int(input("Enter number of edges: "))

 __A							:			List[str]         =			[[float("inf") for i in range(v)] for j in range(v)]

 for i in range(v):
  __A							:			List[Any]         =			0.0

  # src and dst are indices that must be within the array size graph[e][v]
  # failure to follow this will result in an error
 for i in range(e):
  print("\nEdge ", i + 1)
  __A							:			Union[str, Any]         =			int(input("Enter source:"))
  __A							:			List[str]         =			int(input("Enter destination:"))
  __A							:			Union[str, Any]         =			float(input("Enter weight:"))
  __A							:			Any         =			weight

 floyd_warshall(graph, v)

 # Example Input
 # Enter number of vertices: 3
 # Enter number of edges: 2

 # # generated graph from vertex and edge inputs
 # [[inf, inf, inf], [inf, inf, inf], [inf, inf, inf]]
 # [[0.0, inf, inf], [inf, 0.0, inf], [inf, inf, 0.0]]

 # specify source, destination and weight for edge #1
 # Edge  1
 # Enter source:1
 # Enter destination:2
 # Enter weight:2

 # specify source, destination and weight for edge #2
 # Edge  2
 # Enter source:2
 # Enter destination:1
 # Enter weight:1

 # # Expected Output from the vertice, edge and src, dst, weight inputs!!
 # 0		INF	INF
 # INF	0	2
 # INF	1	0





