
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			):
								_lowerCAmelCase :int      	=						parent







	def       SCREAMING_SNAKE_CASE__     (     self:     Optional[Any]			):
								return {}







def   UpperCamelCase_(					):


							"""simple docstring"""





							_lowerCAmelCase :Optional[int]      	=						'<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 :str      	=						'\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"""

	lowerCamelCase     :       Tuple            =			MarkupLMFeatureExtractor if is_bsa_available() else None







	def       SCREAMING_SNAKE_CASE__     (     self:     Tuple			):
								_lowerCAmelCase :List[str]      	=						MarkupLMFeatureExtractionTester(self			)







	@property
	def       SCREAMING_SNAKE_CASE__     (     self:     int			):
								return self.feature_extract_tester.prepare_feat_extract_dict()







	def       SCREAMING_SNAKE_CASE__     (     self:     Union[str, Any]			):
								# Initialize feature_extractor
								_lowerCAmelCase :int      	=						self.feature_extraction_class()

								# Test not batched input
								_lowerCAmelCase :int      	=						get_html_strings()[0]
								_lowerCAmelCase :str      	=						feature_extractor(snake_case_			)

								# fmt: off
								_lowerCAmelCase :List[str]      	=						[['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 :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							,   snake_case_			)
								self.assertEqual(encoding.xpaths							,   snake_case_			)

								# Test batched
								_lowerCAmelCase :Tuple      	=						get_html_strings()
								_lowerCAmelCase :List[str]      	=						feature_extractor(snake_case_			)

								# fmt: off
								_lowerCAmelCase :List[str]      	=						expected_nodes + [['My First Heading', 'My first paragraph.']]
								_lowerCAmelCase :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							,   snake_case_			)
								self.assertEqual(encoding.xpaths							,   snake_case_			)




import pytest


lowercase_													=      '''__dummy_dataset1__'''

lowercase_													=      '''
import json
import os

import datasets


REPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"
URLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-bn-validation.jsonl"}


class __DummyDataset1__(datasets.GeneratorBasedBuilder):

    def _info(self):
        features = datasets.Features(
            {
                "tokens": datasets.Sequence(datasets.Value("string")),
                "ner_tags": datasets.Sequence(
                    datasets.features.ClassLabel(
                        names=[
                            "O",
                            "B-PER",
                            "I-PER",
                            "B-ORG",
                            "I-ORG",
                            "B-LOC",
                            "I-LOC",
                        ]
                    )
                ),
                "langs": datasets.Sequence(datasets.Value("string")),
                "spans": datasets.Sequence(datasets.Value("string")),
            }
        )
        return datasets.DatasetInfo(features=features)

    def _split_generators(self, dl_manager):
        dl_path = dl_manager.download(URLS)
        return [
            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path["train"]}),
            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={"filepath": dl_path["validation"]}),
        ]

    def _generate_examples(self, filepath):
        with open(filepath, "r", encoding="utf-8") as f:
            for i, line in enumerate(f):
                yield i, json.loads(line)
'''






@pytest.fixture
def        __lowerCAmelCase		(	)	->    Any:
					return DATASET_LOADING_SCRIPT_NAME






@pytest.fixture
def        __lowerCAmelCase		(	)	->    Union[str, Any]:
					return DATASET_LOADING_SCRIPT_CODE






@pytest.fixture
def        __lowerCAmelCase		(	__lowerCamelCase						:     Optional[Any]					, __lowerCamelCase						:     Tuple					, __lowerCamelCase						:     str						)	->    List[str]:
					__lowerCAmelCase						 =dataset_loading_script_name
					__lowerCAmelCase						 =tmp_path / """datasets""" / script_name
					script_dir.mkdir(parents=__lowerCamelCase						)
					__lowerCAmelCase						 =script_dir / f"""{script_name}.py"""
					with open(__lowerCamelCase					, """w"""						) as f:
										f.write(__lowerCamelCase						)
					return str(__lowerCamelCase						)




