






'''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    _UpperCAmelCase			(     unittest.TestCase						):




   """simple docstring"""

   def __init__(		self :	Dict      ,      __UpperCAmelCase :	Any		):





         '''simple docstring'''





         _A			     =	parent

   def 						lowerCAmelCase (		self :	int		):





         '''simple docstring'''





         return {}





def 					__lowercase						(			)       ->						Tuple:

      '''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    _UpperCAmelCase			(     snake_case_							,    unittest.TestCase						):




   """simple docstring"""

   snake_case    				=						MarkupLMFeatureExtractor if is_bsa_available() else None

   def 						lowerCAmelCase (		self :	Tuple		):





         '''simple docstring'''





         _A			     =	MarkupLMFeatureExtractionTester(self		)

   @property
   def 						lowerCAmelCase (		self :	Tuple		):





         '''simple docstring'''





         return self.feature_extract_tester.prepare_feat_extract_dict()

   def 						lowerCAmelCase (		self :	Optional[Any]		):





         '''simple docstring'''





         _A			     =	self.feature_extraction_class()

         # Test not batched input
         _A			     =	get_html_strings()[0]
         _A			     =	feature_extractor(__UpperCAmelCase		)

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

         # Test batched
         _A			     =	get_html_strings()
         _A			     =	feature_extractor(__UpperCAmelCase		)

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









"""simple docstring"""






import math
def      lowerCamelCase       (     _UpperCamelCase		:      int							)		->       list[int]:

							'''simple docstring'''



							__UpperCAmelCase   :						List[Any]      							=					[]
							__UpperCAmelCase   :						Dict      							=					2
							__UpperCAmelCase   :						Union[str, Any]      							=					int(math.sqrt(_UpperCamelCase							)							)  # Size of every segment
							__UpperCAmelCase   :						Tuple      							=					[True] * (end + 1)
							__UpperCAmelCase   :						int      							=					[]

							while start <= end:
														if temp[start] is True:
																					in_prime.append(_UpperCamelCase							)
																					for i in range(start * start       ,			end + 1       ,			_UpperCamelCase							):
																												__UpperCAmelCase   :						Dict      							=					False
														start += 1
							prime += in_prime

							__UpperCAmelCase   :						Optional[int]      							=					end + 1
							__UpperCAmelCase   :						Dict      							=					min(2 * end       ,			_UpperCamelCase							)

							while low <= n:
														__UpperCAmelCase   :						Union[str, Any]      							=					[True] * (high - low + 1)
														for each in in_prime:
																					__UpperCAmelCase   :						Dict      							=					math.floor(low / each							) * each
																					if t < low:
																												t += each

																					for j in range(_UpperCamelCase       ,			high + 1       ,			_UpperCamelCase							):
																												__UpperCAmelCase   :						Tuple      							=					False

														for j in range(len(_UpperCamelCase							)							):
																					if temp[j] is True:
																												prime.append(j + low							)

														__UpperCAmelCase   :						Tuple      							=					high + 1
														__UpperCAmelCase   :						Optional[int]      							=					min(high + end       ,			_UpperCamelCase							)

							return prime
print(sieve(10**6))
