
import html

from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends


if is_bsa_available():
					import bsa
					from bsa import BeautifulSoup


A     :	str    = logging.get_logger(__name__)







class 			__A( a			):




				def __init__(     self		,     **_snake_case				)    ->      List[Any]:


								'''simple docstring'''




								requires_backends(self		,     ['''bs4''']				)
								super().__init__(**_snake_case				)




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      int:


								'''simple docstring'''




								__a										=    []
								__a										=    []
								__a										=    element if element.name else element.parent
								for parent in child.parents:  # type: bs4.element.Tag
												__a										=    parent.find_all(child.name		,     recursive=_snake_case				)
												xpath_tags.append(child.name				)
												xpath_subscripts.append(
												    0 if 1 == len(_snake_case				) else next(i for i, s in enumerate(_snake_case		,     1				) if s is child				)				)
												__a										=    parent
								xpath_tags.reverse()
								xpath_subscripts.reverse()
								return xpath_tags, xpath_subscripts




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      Optional[int]:


								'''simple docstring'''




								__a										=    BeautifulSoup(_snake_case		,     '''html.parser'''				)

								__a										=    []
								__a										=    []
								__a										=    []

								for element in html_code.descendants:
												if type(_snake_case				) == bsa.element.NavigableString:
																if type(element.parent				) != bsa.element.Tag:
																				continue

																__a										=    html.unescape(_snake_case				).strip()
																if not text_in_this_tag:
																				continue

																all_doc_strings.append(_snake_case				)

																__a							,     __a										=    self.xpath_soup(_snake_case				)
																stringaxtag_seq.append(_snake_case				)
																stringaxsubs_seq.append(_snake_case				)

								if len(_snake_case				) != len(_snake_case				):
												raise ValueError('''Number of doc strings and xtags does not correspond'''				)
								if len(_snake_case				) != len(_snake_case				):
												raise ValueError('''Number of doc strings and xsubs does not correspond'''				)

								return all_doc_strings, stringaxtag_seq, stringaxsubs_seq




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case		,     _snake_case				)    ->      Optional[int]:


								'''simple docstring'''




								__a										=    ''''''
								for tagname, subs in zip(_snake_case		,     _snake_case				):
												xpath += F"""/{tagname}"""
												if subs != 0:
																xpath += F"""[{subs}]"""
								return xpath




				def __call__(     self		,     _snake_case				)    ->      BatchFeature:


								'''simple docstring'''




								__a										=    False

								# Check that strings has a valid type
								if isinstance(_snake_case		,     _snake_case				):
												__a										=    True
								elif isinstance(_snake_case		,     (list, tuple)				):
												if len(_snake_case				) == 0 or isinstance(html_strings[0]		,     _snake_case				):
																__a										=    True

								if not valid_strings:
												raise ValueError(
												    '''HTML strings must of type `str`, `List[str]` (batch of examples), '''
												    F"""but is of type {type(_snake_case				)}."""				)

								__a										=    bool(isinstance(_snake_case		,     (list, tuple)				) and (isinstance(html_strings[0]		,     _snake_case				))				)

								if not is_batched:
												__a										=    [html_strings]

								# Get nodes + xpaths
								__a										=    []
								__a										=    []
								for html_string in html_strings:
												__a							,     __a							,     __a										=    self.get_three_from_single(_snake_case				)
												nodes.append(_snake_case				)
												__a										=    []
												for node, tag_list, sub_list in zip(_snake_case		,     _snake_case		,     _snake_case				):
																__a										=    self.construct_xpath(_snake_case		,     _snake_case				)
																xpath_strings.append(_snake_case				)
												xpaths.append(_snake_case				)

								# return as Dict
								__a										=    {'''nodes''': nodes, '''xpaths''': xpaths}
								__a										=    BatchFeature(data=_snake_case		,     tensor_type=_snake_case				)

								return encoded_inputs

import os
import re
import shutil
import sys
import tempfile
import unittest

import black


_A   =     os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
_A   =     "    \"\"\"\n    Output class for the scheduler's step function output.\n\n    Args:\n        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the\n            denoising loop.\n        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            The predicted denoised sample (x_{0}) based on the model output from the current timestep.\n            `pred_original_sample` can be used to preview progress or for guidance.\n    \"\"\"\n\n    prev_sample: torch.FloatTensor\n    pred_original_sample: Optional[torch.FloatTensor] = None\n"





class 	_lowerCAmelCase					(	unittest.TestCase       ):




				def      __a						(					self     )				->      str:
							lowerCAmelCase_						=	tempfile.mkdtemp()
							os.makedirs(os.path.join(self.diffusers_dir				,				"schedulers/"     )     )
							lowerCAmelCase_						=	self.diffusers_dir
							shutil.copy(
							    os.path.join(_UpperCamelCase				,				"src/diffusers/schedulers/scheduling_ddpm.py"     )				,				os.path.join(self.diffusers_dir				,				"schedulers/scheduling_ddpm.py"     )				,				)




				def      __a						(					self     )				->      Optional[int]:
							lowerCAmelCase_						=	"src/diffusers"
							shutil.rmtree(self.diffusers_dir     )




				def      __a						(					self				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase				,				_UpperCamelCase=None     )				->      Optional[Any]:
							lowerCAmelCase_						=	comment + f"""\nclass {class_name}(nn.Module):\n""" + class_code
							if overwrite_result is not None:
										lowerCAmelCase_						=	comment + f"""\nclass {class_name}(nn.Module):\n""" + overwrite_result
							lowerCAmelCase_						=	black.Mode(target_versions={black.TargetVersion.PYaa}				,				line_length=119     )
							lowerCAmelCase_						=	black.format_str(_UpperCamelCase				,				mode=_UpperCamelCase     )
							lowerCAmelCase_						=	os.path.join(self.diffusers_dir				,				"new_code.py"     )
							with open(_UpperCamelCase				,				"w"				,				newline="\n"     ) as f:
										f.write(_UpperCamelCase     )
							if overwrite_result is None:
										self.assertTrue(len(check_copies.is_copy_consistent(_UpperCamelCase     )     ) == 0     )
							else:
										check_copies.is_copy_consistent(f.name				,				overwrite=_UpperCamelCase     )
										with open(_UpperCamelCase				,				"r"     ) as f:
													self.assertTrue(f.read()				,				_UpperCamelCase     )




				def      __a						(					self     )				->      Optional[Any]:
							lowerCAmelCase_						=	check_copies.find_code_in_diffusers("schedulers.scheduling_ddpm.DDPMSchedulerOutput"     )
							self.assertEqual(_UpperCamelCase				,				_UpperCamelCase     )




				def      __a						(					self     )				->      Tuple:
							# Base copy consistency
							self.check_copy_consistency(
							    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"				,				"DDPMSchedulerOutput"				,				REFERENCE_CODE + "\n"				,				)

							# With no empty line at the end
							self.check_copy_consistency(
							    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"				,				"DDPMSchedulerOutput"				,				_UpperCamelCase				,				)

							# Copy consistency with rename
							self.check_copy_consistency(
							    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"				,				"TestSchedulerOutput"				,				re.sub("DDPM"				,				"Test"				,				_UpperCamelCase     )				,				)

							# Copy consistency with a really long name
							lowerCAmelCase_						=	"TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason"
							self.check_copy_consistency(
							    f"""# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}"""				,				f"""{long_class_name}SchedulerOutput"""				,				re.sub("Bert"				,				_UpperCamelCase				,				_UpperCamelCase     )				,				)

							# Copy consistency with overwrite
							self.check_copy_consistency(
							    "# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"				,				"TestSchedulerOutput"				,				_UpperCamelCase				,				overwrite_result=re.sub("DDPM"				,				"Test"				,				_UpperCamelCase     )				,				)



