




'''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        _a    (						unittest.TestCase							):






     def __init__(			self ,_SCREAMING_SNAKE_CASE   )							->      int:
          _snake_case							=				parent






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







def      __a     (       )						->			Optional[Any]:

     """simple docstring"""




     _snake_case							=				"<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>"

     _snake_case							=				"\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        _a    (						__lowerCAmelCase , unittest.TestCase							):
     SCREAMING_SNAKE_CASE_							:   int       =						MarkupLMFeatureExtractor if is_bsa_available() else None






     def     _lowercase     (			self   )							->      Dict:
          _snake_case							=				MarkupLMFeatureExtractionTester(self   )






     @property
     def     _lowercase     (			self   )							->      Tuple:
          return self.feature_extract_tester.prepare_feat_extract_dict()






     def     _lowercase     (			self   )							->      Any:
          # Initialize feature_extractor
          _snake_case							=				self.feature_extraction_class()

          # Test not batched input
          _snake_case							=				get_html_strings()[0]
          _snake_case							=				feature_extractor(_SCREAMING_SNAKE_CASE   )

          # fmt: off
          _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"]]
          _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 ,_SCREAMING_SNAKE_CASE   )
          self.assertEqual(encoding.xpaths ,_SCREAMING_SNAKE_CASE   )

          # Test batched
          _snake_case							=				get_html_strings()
          _snake_case							=				feature_extractor(_SCREAMING_SNAKE_CASE   )

          # fmt: off
          _snake_case							=				expected_nodes + [["My First Heading", "My first paragraph."]]
          _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 ,_SCREAMING_SNAKE_CASE   )
          self.assertEqual(encoding.xpaths ,_SCREAMING_SNAKE_CASE   )








'''simple docstring'''





import fire

from utils import calculate_rouge, save_json





def      __a     (       _UpperCamelCase:   Tuple ,						_UpperCamelCase:   Optional[int] ,						_UpperCamelCase:   Optional[int]=None ,						**_UpperCamelCase:   Any   )						->			Optional[Any]:

     """simple docstring"""




     _snake_case							=				[x.strip() for x in open(_UpperCamelCase   ).readlines()]
     _snake_case							=				[x.strip() for x in open(_UpperCamelCase   ).readlines()][: len(_UpperCamelCase   )]
     _snake_case							=				calculate_rouge(_UpperCamelCase ,						_UpperCamelCase ,						**_UpperCamelCase   )
     if save_path is not None:
          save_json(_UpperCamelCase ,						_UpperCamelCase ,						indent=_UpperCamelCase   )
     return metrics  # these print nicely


if __name__ == "__main__":
   fire.Fire(calculate_rouge_path)


