


'''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    lowercase	(							unittest.TestCase					):

		"""simple docstring"""

		def __init__(		self    ,   UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__   :str												= parent




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							return {}



def 			a      (			)  ->	Optional[Any]:



					'''simple docstring'''






					UpperCamelCase__   :Union[str, Any]												= '''<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>'''

					UpperCamelCase__   :int												= '''
    <!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    lowercase	(							A__	,		unittest.TestCase					):

		"""simple docstring"""

		_a     =				MarkupLMFeatureExtractor if is_bsa_available() else None




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :int												= MarkupLMFeatureExtractionTester(self							)




		@property
		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							return self.feature_extract_tester.prepare_feat_extract_dict()




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :int												= self.feature_extraction_class()

							# Test not batched input
							UpperCamelCase__   :int												= get_html_strings()[0]
							UpperCamelCase__   :int												= 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__   :Optional[Any]												= [['''/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__   :str												= get_html_strings()
							UpperCamelCase__   :Optional[Any]												= feature_extractor(UpperCamelCase_							)

							# fmt: off
							UpperCamelCase__   :List[str]												= expected_nodes + [['''My First Heading''', '''My first paragraph.''']]
							UpperCamelCase__   :int												= 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 re

from filelock import FileLock


try:
		import nltk

		__snake_case							      =     True
except (ImportError, ModuleNotFoundError):
		__snake_case							      =     False

if NLTK_AVAILABLE:
		with FileLock('''.lock''') as lock:
				nltk.download('''punkt''', quiet=True)


def 			a      (			__a   )  ->	str:



					'''simple docstring'''






					re.sub('''<n>''' ,					'''''' ,					__a   )  # remove pegasus newline char
					assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
					return "\n".join(nltk.sent_tokenize(__a   )   )