
"""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     ,	UpperCamelCase_      ):
          UpperCAmelCase__	:      Union[str, Any]     							=					parent



      def  __snake_case							(   self      ):
          return {}




def 					lowerCamelCase   (     ):
    UpperCAmelCase__	:      Dict     							=					'<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>'

    UpperCAmelCase__	:      Optional[int]     							=					'\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			(					lowercase						,		unittest.TestCase      ):
      UpperCamelCase							:   str           =     MarkupLMFeatureExtractor if is_bsa_available() else None



      def  __snake_case							(   self      ):
          UpperCAmelCase__	:      Optional[int]     							=					MarkupLMFeatureExtractionTester(self      )



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



      def  __snake_case							(   self      ):
          # Initialize feature_extractor
          UpperCAmelCase__	:      Any     							=					self.feature_extraction_class()

          # Test not batched input
          UpperCAmelCase__	:      Tuple     							=					get_html_strings()[0]
          UpperCAmelCase__	:      Optional[Any]     							=					feature_extractor(UpperCamelCase_      )

          # fmt: off
          UpperCAmelCase__	:      Union[str, Any]     							=					[['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__	:      int     							=					[['/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__	:      List[str]     							=					get_html_strings()
          UpperCAmelCase__	:      List[Any]     							=					feature_extractor(UpperCamelCase_      )

          # fmt: off
          UpperCAmelCase__	:      Union[str, Any]     							=					expected_nodes + [['My First Heading', 'My first paragraph.']]
          UpperCAmelCase__	:      Dict     							=					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_      )




from math import factorial, pi

def 			lowerCamelCase__			(       _a				,      _a = 30):

	if not isinstance(_a				,      (int, float)):
		raise ValueError("maclaurin_sin() requires either an int or float for theta")

	if not isinstance(_a				,      _a) or accuracy <= 0:
		raise ValueError("maclaurin_sin() requires a positive int for accuracy")

	SCREAMING_SNAKE_CASE :   int					  =							float(_a)
	SCREAMING_SNAKE_CASE :   Dict					  =							theta // (2 * pi)
	theta -= 2 * div * pi
	return sum(
	    (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1) for r in range(_a))

def 			lowerCamelCase__			(       _a				,      _a = 30):

	if not isinstance(_a				,      (int, float)):
		raise ValueError("maclaurin_cos() requires either an int or float for theta")

	if not isinstance(_a				,      _a) or accuracy <= 0:
		raise ValueError("maclaurin_cos() requires a positive int for accuracy")

	SCREAMING_SNAKE_CASE :   str					  =							float(_a)
	SCREAMING_SNAKE_CASE :   Any					  =							theta // (2 * pi)
	theta -= 2 * div * pi
	return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r) for r in range(_a))


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			print(maclaurin_sin(10))
			print(maclaurin_sin(-10))
			print(maclaurin_sin(10, 15))
			print(maclaurin_sin(-10, 15))

			print(maclaurin_cos(5))
			print(maclaurin_cos(-5))
			print(maclaurin_cos(10, 15))
			print(maclaurin_cos(-10, 15))