


'''simple docstring'''
import numpy as np
import torch
import torch.nn as nn
from transformers import CLIPConfig, CLIPVisionModelWithProjection, PreTrainedModel

from ...utils import logging


__snake_case											=					logging.get_logger(__name__)
class        lowercase     (							A__ ):

		"""simple docstring"""

		_a   			=    CLIPConfig

		_a   			=    ["""CLIPEncoderLayer"""]




		def __init__(		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							super().__init__(_A							)

							UpperCamelCase__       :int							 =			CLIPVisionModelWithProjection(config.vision_config							)

							UpperCamelCase__       :List[str]							 =			nn.Linear(config.vision_config.projection_dim   ,       1							)
							UpperCamelCase__       :List[str]							 =			nn.Linear(config.vision_config.projection_dim   ,       1							)




		@torch.no_grad()
		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_   ,       UpperCamelCase_   ,       UpperCamelCase_=0.5   ,       UpperCamelCase_=0.5							):

							'''simple docstring'''


							UpperCamelCase__       :Any							 =			self.vision_model(_A							)[0]

							UpperCamelCase__       :Any							 =			self.p_head(_A							)
							UpperCamelCase__       :Any							 =			nsfw_detected.flatten()
							UpperCamelCase__       :str							 =			nsfw_detected > p_threshold
							UpperCamelCase__       :Tuple							 =			nsfw_detected.tolist()

							if any(_A							):
												logger.warning(
												    '''Potential NSFW content was detected in one or more images. A black image will be returned instead.'''
												    ''' Try again with a different prompt and/or seed.'''							)

							for idx, nsfw_detected_ in enumerate(_A							):
												if nsfw_detected_:
																	UpperCamelCase__       :Any							 =			np.zeros(images[idx].shape							)

							UpperCamelCase__       :List[str]							 =			self.w_head(_A							)
							UpperCamelCase__       :Optional[Any]							 =			watermark_detected.flatten()
							UpperCamelCase__       :int							 =			watermark_detected > w_threshold
							UpperCamelCase__       :str							 =			watermark_detected.tolist()

							if any(_A							):
												logger.warning(
												    '''Potential watermarked content was detected in one or more images. A black image will be returned instead.'''
												    ''' Try again with a different prompt and/or seed.'''							)

							for idx, watermark_detected_ in enumerate(_A							):
												if watermark_detected_:
																	UpperCamelCase__       :Optional[int]							 =			np.zeros(images[idx].shape							)

							return images, nsfw_detected, watermark_detected



'''simple docstring'''
import argparse
from collections import defaultdict

import yaml


__snake_case											=					'''docs/source/en/_toctree.yml'''


def       a				(      __a       )  ->     int:



					'''simple docstring'''






					UpperCamelCase__       :int							 =			defaultdict(__a       )
					UpperCamelCase__       :int							 =			[]
					UpperCamelCase__       :int							 =			[]
					for doc in doc_list:
										if "local" in doc:
															counts[doc["local"]] += 1

										if doc["title"].lower() == "overview":
															overview_doc.append({'''local''': doc['''local'''], '''title''': doc['''title''']}       )
										else:
															new_doc_list.append(__a       )

					UpperCamelCase__       :Union[str, Any]							 =			new_doc_list
					UpperCamelCase__       :Tuple							 =			[key for key, value in counts.items() if value > 1]

					UpperCamelCase__       :Union[str, Any]							 =			[]
					for duplicate_key in duplicates:
										UpperCamelCase__       :Dict							 =			list({doc['''title'''] for doc in doc_list if doc['''local'''] == duplicate_key}       )
										if len(__a       ) > 1:
															raise ValueError(
															    f'''{duplicate_key} is present several times in the documentation table of content at '''
															    '''`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '''
															    '''others.'''       )
										# Only add this once
										new_doc.append({'''local''': duplicate_key, '''title''': titles[0]}       )

					# Add none duplicate-keys
					new_doc.extend([doc for doc in doc_list if '''local''' not in counts or counts[doc['''local''']] == 1]       )
					UpperCamelCase__       :Union[str, Any]							 =			sorted(__a			, key=lambda __a       : s["title"].lower()       )

					# "overview" gets special treatment and is always first
					if len(__a       ) > 1:
										raise ValueError('''{doc_list} has two \'overview\' docs which is not allowed.'''       )

					overview_doc.extend(__a       )

					# Sort
					return overview_doc


def       a				(      __a=False       )  ->     Any:



					'''simple docstring'''






					with open(__a			, encoding='''utf-8'''       ) as f:
										UpperCamelCase__       :Any							 =			yaml.safe_load(f.read()       )

					# Get to the API doc
					UpperCamelCase__       :str							 =			0
					while content[api_idx]["title"] != "API":
										api_idx += 1
					UpperCamelCase__       :str							 =			content[api_idx]['''sections''']

					# Then to the model doc
					UpperCamelCase__       :Optional[Any]							 =			0
					while api_doc[scheduler_idx]["title"] != "Schedulers":
										scheduler_idx += 1

					UpperCamelCase__       :List[Any]							 =			api_doc[scheduler_idx]['''sections''']
					UpperCamelCase__       :Union[str, Any]							 =			clean_doc_toc(__a       )

					UpperCamelCase__       :List[Any]							 =			False
					if new_scheduler_doc != scheduler_doc:
										UpperCamelCase__       :Optional[int]							 =			True
										if overwrite:
															UpperCamelCase__       :Dict							 =			new_scheduler_doc

					if diff:
										if overwrite:
															UpperCamelCase__       :Any							 =			api_doc
															with open(__a			, '''w'''			, encoding='''utf-8'''       ) as f:
																				f.write(yaml.dump(__a			, allow_unicode=__a       )       )
										else:
															raise ValueError(
															    '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''       )


def       a				(      __a=False       )  ->     Optional[Any]:



					'''simple docstring'''






					with open(__a			, encoding='''utf-8'''       ) as f:
										UpperCamelCase__       :str							 =			yaml.safe_load(f.read()       )

					# Get to the API doc
					UpperCamelCase__       :Optional[Any]							 =			0
					while content[api_idx]["title"] != "API":
										api_idx += 1
					UpperCamelCase__       :Any							 =			content[api_idx]['''sections''']

					# Then to the model doc
					UpperCamelCase__       :str							 =			0
					while api_doc[pipeline_idx]["title"] != "Pipelines":
										pipeline_idx += 1

					UpperCamelCase__       :Any							 =			False
					UpperCamelCase__       :Union[str, Any]							 =			api_doc[pipeline_idx]['''sections''']
					UpperCamelCase__       :Tuple							 =			[]

					# sort sub pipeline docs
					for pipeline_doc in pipeline_docs:
										if "section" in pipeline_doc:
															UpperCamelCase__       :Dict							 =			pipeline_doc['''section''']
															UpperCamelCase__       :Optional[Any]							 =			clean_doc_toc(__a       )
															if overwrite:
																				UpperCamelCase__       :Optional[int]							 =			new_sub_pipeline_doc
										new_pipeline_docs.append(__a       )

					# sort overall pipeline doc
					UpperCamelCase__       :Optional[Any]							 =			clean_doc_toc(__a       )

					if new_pipeline_docs != pipeline_docs:
										UpperCamelCase__       :int							 =			True
										if overwrite:
															UpperCamelCase__       :Union[str, Any]							 =			new_pipeline_docs

					if diff:
										if overwrite:
															UpperCamelCase__       :Dict							 =			api_doc
															with open(__a			, '''w'''			, encoding='''utf-8'''       ) as f:
																				f.write(yaml.dump(__a			, allow_unicode=__a       )       )
										else:
															raise ValueError(
															    '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''       )


if __name__ == "__main__":
		__snake_case											=					argparse.ArgumentParser()
		parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
		__snake_case											=					parser.parse_args()

		check_scheduler_doc(args.fix_and_overwrite)
		check_pipeline_doc(args.fix_and_overwrite)