




"""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       lowerCAmelCase__       (			unittest.TestCase    ):


				"""simple docstring"""





				def __init__(     self					:	Optional[int]    ,   lowercase__					:	int						):
						__lowercase				:		Optional[int]												=				parent



				def       snake_case    (     self					:	Dict						):
						return {}





def 						snake_case__       (					)			->Dict:






		"""simple docstring"""


		__lowercase				:		Any												=				"<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>"

		__lowercase				:		Tuple												=				"\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       lowerCAmelCase__       (			lowerCAmelCase_  ,			unittest.TestCase    ):


				"""simple docstring"""





				__UpperCAmelCase :     Any       =      MarkupLMFeatureExtractor if is_bsa_available() else None



				def       snake_case    (     self					:	List[str]						):
						__lowercase				:		Tuple												=				MarkupLMFeatureExtractionTester(self						)



				@property
				def       snake_case    (     self					:	Union[str, Any]						):
						return self.feature_extract_tester.prepare_feat_extract_dict()



				def       snake_case    (     self					:	Union[str, Any]						):
						# Initialize feature_extractor
						__lowercase				:		Tuple												=				self.feature_extraction_class()

						# Test not batched input
						__lowercase				:		Optional[Any]												=				get_html_strings()[0]
						__lowercase				:		Any												=				feature_extractor(lowercase__						)

						# fmt: off
						__lowercase				:		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"]]
						__lowercase				:		int												=				[["/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    ,   lowercase__						)
						self.assertEqual(encoding.xpaths    ,   lowercase__						)

						# Test batched
						__lowercase				:		Any												=				get_html_strings()
						__lowercase				:		int												=				feature_extractor(lowercase__						)

						# fmt: off
						__lowercase				:		Dict												=				expected_nodes + [["My First Heading", "My first paragraph."]]
						__lowercase				:		Union[str, Any]												=				expected_xpaths + [["/html/body/h1", "/html/body/p"]]

						self.assertEqual(len(encoding.nodes						)    ,   2						)
						self.assertEqual(len(encoding.xpaths						)    ,   2						)

						self.assertEqual(encoding.nodes    ,   lowercase__						)
						self.assertEqual(encoding.xpaths    ,   lowercase__						)






"""simple docstring"""







# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..utils import cached_file


# docstyle-ignore
__A   :  int					=      '\nHuman: <<task>>\n\nAssistant: '


__A   :  List[str]					=      'huggingface-tools/default-prompts'
__A   :  Tuple					=      {'chat': 'chat_prompt_template.txt', 'run': 'run_prompt_template.txt'}

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase="run"				)			->Optional[int]:






		"""simple docstring"""


		if prompt_or_repo_id is None:
				__lowercase				:		Any												=				DEFAULT_PROMPTS_REPO

		# prompt is considered a repo ID when it does not contain any kind of space
		if re.search("\\s",  _lowerCamelCase				) is not None:
				return prompt_or_repo_id

		__lowercase				:		Optional[Any]												=				cached_file(
		    _lowerCamelCase,  PROMPT_FILES[mode],  repo_type="dataset",  user_agent={"agent": agent_name}				)
		with open(_lowerCamelCase,  "r",  encoding="utf-8"				) as f:
				return f.read()
