





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 SCREAMING_SNAKE_CASE_ (					unittest.TestCase   ):





					"""simple docstring"""


					def __init__( self	,  _lowerCAmelCase	):
										lowerCamelCase__       =       parent






					def 					__magic_name__ ( self	):
										return {}





def    __UpperCamelCase      (    ) ->Any:
					lowerCamelCase__       =       "<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>"

					lowerCamelCase__       =       "\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 SCREAMING_SNAKE_CASE_ (					lowercase_							,       unittest.TestCase   ):





					"""simple docstring"""


					A__				 =    MarkupLMFeatureExtractor if is_bsa_available() else None





					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       MarkupLMFeatureExtractionTester(self	)





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






					def 					__magic_name__ ( self	):
										# Initialize feature_extractor
										lowerCamelCase__       =       self.feature_extraction_class()

										# Test not batched input
										lowerCamelCase__       =       get_html_strings()[0]
										lowerCamelCase__       =       feature_extractor(_lowerCAmelCase	)

										# fmt: off
										lowerCamelCase__       =       [["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"]]
										lowerCamelCase__       =       [["/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
										lowerCamelCase__       =       get_html_strings()
										lowerCamelCase__       =       feature_extractor(_lowerCAmelCase	)

										# fmt: off
										lowerCamelCase__       =       expected_nodes + [["My First Heading", "My first paragraph."]]
										lowerCamelCase__       =       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 typing import TYPE_CHECKING

from ...utils import _LazyModule


A_												=     {"tokenization_byt5": ["ByT5Tokenizer"]}


if TYPE_CHECKING:
						from .tokenization_byta import ByTaTokenizer
else:
						import sys

						A_												=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

