




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     snake_case__							(unittest.TestCase   ):
				"""simple docstring"""



				def __init__(      self				:     str					,      __lowerCamelCase				:     Optional[int]							)					->     List[str]:
							a    =			parent





				def 							__UpperCAmelCase							(      self				:     Optional[int]							)					->     List[str]:
							return {}




def 			__magic_name__				( ):






			'''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     snake_case__							(_UpperCamelCase    ,       unittest.TestCase   ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_       :							Dict							 =					MarkupLMFeatureExtractor if is_bsa_available() else None





				def 							__UpperCAmelCase							(      self				:     int							)					->     Union[str, Any]:
							a    =			MarkupLMFeatureExtractionTester(self							)





				@property
				def 							__UpperCAmelCase							(      self				:     Optional[int]							)					->     Optional[Any]:
							return self.feature_extract_tester.prepare_feat_extract_dict()





				def 							__UpperCAmelCase							(      self				:     int							)					->     Tuple:
							# Initialize feature_extractor
							a    =			self.feature_extraction_class()

							# Test not batched input
							a    =			get_html_strings()[0]
							a    =			feature_extractor(__lowerCamelCase							)

							# 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					,      __lowerCamelCase							)
							self.assertEqual(encoding.xpaths					,      __lowerCamelCase							)

							# Test batched
							a    =			get_html_strings()
							a    =			feature_extractor(__lowerCamelCase							)

							# 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					,      __lowerCamelCase							)
							self.assertEqual(encoding.xpaths					,      __lowerCamelCase							)











'''simple docstring'''






import random

from .binary_exp_mod import bin_exp_mod


def  snake_case_     (					_lowerCAmelCase  :						Tuple   ,      _lowerCAmelCase  :						Optional[Any]=1000  )      ->   int:
							if n < 2:
														return False

							if n % 2 == 0:
														return n == 2

							# this means n is odd
							UpperCAmelCase :       str 							=		n - 1
							UpperCAmelCase :       List[Any] 							=		0
							while d % 2 == 0:
														d /= 2
														exp += 1

							# n - 1=d*(2**exp)
							UpperCAmelCase :       List[str] 							=		0
							while count < prec:
														UpperCAmelCase :       int 							=		random.randint(2   ,      n - 1  )
														UpperCAmelCase :       List[str] 							=		bin_exp_mod(_lowerCAmelCase   ,      _lowerCAmelCase   ,      _lowerCAmelCase  )
														if b != 1:
																					UpperCAmelCase :       int 							=		True
																					for _ in range(_lowerCAmelCase  ):
																												if b == n - 1:
																																			UpperCAmelCase :       Dict 							=		False
																																			break
																												UpperCAmelCase :       str 							=		b * b
																												b %= n
																					if flag:
																												return False
																					count += 1
							return True


if __name__ == "__main__":
						UpperCamelCase__:   Optional[int]								=			abs(int(input("Enter bound : ").strip()))
						print("Here's the list of primes:")
						print(", ".join(str(i) for i in range(n + 1) if is_prime_big(i)))





