





'''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					:      Any					,lowerCamelCase					:      Optional[int]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							parent





   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      return {}





def     __magic_name__							(				)    ->       Optional[Any]:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE   				=							"""<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>"""

   __SCREAMING_SNAKE_CASE   				=							"""
    <!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 __a			( _snake_case, unittest.TestCase      ):
   __UpperCamelCase :			Any						   =						MarkupLMFeatureExtractor if is_bsa_available() else None





   def   UpperCAmelCase__  (       self					:      Optional[int]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							MarkupLMFeatureExtractionTester(self     )





   @property
   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      return self.feature_extract_tester.prepare_feat_extract_dict()





   def   UpperCAmelCase__  (       self					:      Tuple     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.feature_extraction_class()

      # Test not batched input
      __SCREAMING_SNAKE_CASE   				=							get_html_strings()[0]
      __SCREAMING_SNAKE_CASE   				=							feature_extractor(lowerCamelCase     )

      # fmt: off
      __SCREAMING_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"""]]
      __SCREAMING_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					,lowerCamelCase     )
      self.assertEqual(encoding.xpaths					,lowerCamelCase     )

      # Test batched
      __SCREAMING_SNAKE_CASE   				=							get_html_strings()
      __SCREAMING_SNAKE_CASE   				=							feature_extractor(lowerCamelCase     )

      # fmt: off
      __SCREAMING_SNAKE_CASE   				=							expected_nodes + [["""My First Heading""", """My first paragraph."""]]
      __SCREAMING_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					,lowerCamelCase     )
      self.assertEqual(encoding.xpaths					,lowerCamelCase     )








from __future__ import annotations

def 			lowerCamelCase__			(       _a):
	SCREAMING_SNAKE_CASE :   Optional[Any]					  =							2
	SCREAMING_SNAKE_CASE :   Optional[int]					  =							[]
	while i * i <= n:
		if n % i:
			i += 1
		else:
			n //= i
			factors.append(_a)
	if n > 1:
		factors.append(_a)
	return factors


if __name__ == "__main__":
			import doctest

			doctest.testmod()