




from typing import List

import PIL
import torch
from PIL import Image

from ...configuration_utils import ConfigMixin
from ...models.modeling_utils import ModelMixin
from ...utils import PIL_INTERPOLATION

class 		lowercase_       (	lowerCAmelCase__						,							lowerCAmelCase__				):




					def __init__(   self:		str):


									'''simple docstring'''


									super().__init__()

									self.register_buffer("""watermark_image""",     torch.zeros((62, 62, 4)))
									__lowerCAmelCase					=  None







					def     _lowercase						(   self:		Optional[int],     _lowercase:		List[PIL.Image.Image],     _lowercase:		Any=None):


									'''simple docstring'''


									__lowerCAmelCase					=  images[0].height
									__lowerCAmelCase					=  images[0].width

									__lowerCAmelCase					=  sample_size or h

									__lowerCAmelCase					=  min(h / sample_size,     w / sample_size)
									__lowerCAmelCase	,				__lowerCAmelCase					=  (int(h / coef), int(w / coef)) if coef < 1 else (h, w)

									__lowerCAmelCase	,				__lowerCAmelCase					=  1024**2, img_w * img_h
									__lowerCAmelCase					=  (Sa / Sa) ** 0.5
									__lowerCAmelCase	,				__lowerCAmelCase	,				__lowerCAmelCase					=  int(K * 62), img_w - int(14 * K), img_h - int(14 * K)

									if self.watermark_image_as_pil is None:
													__lowerCAmelCase					=  self.watermark_image.to(torch.uinta).cpu().numpy()
													__lowerCAmelCase					=  Image.fromarray(_lowercase,     mode="""RGBA""")
													__lowerCAmelCase					=  watermark_image

									__lowerCAmelCase					=  self.watermark_image_as_pil.resize(
									    (wm_size, wm_size),     PIL_INTERPOLATION["""bicubic"""],     reducing_gap=_lowercase)

									for pil_img in images:
													pil_img.paste(_lowercase,     box=(wm_x - wm_size, wm_y - wm_size, wm_x, wm_y),     mask=wm_img.split()[-1])

									return images









from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available
def 				UpperCamelCase_	(					__snake_case      :    Dict  )->   str:




						'''simple docstring'''
						if is_torch_available():
												import torch

												if isinstance(__snake_case						,      torch.Tensor  ):
																		return True

						return isinstance(__snake_case						,      np.ndarray  )




class      __snake_case				(   _UpperCAmelCase):
					def 	a			(						self       :						Optional[Any]  )							->					Optional[Any]:



											'''simple docstring'''





											__magic_name__					=      fields(self  )

											# Safety and consistency checks
											if not len(_lowerCAmelCase  ):
																	raise ValueError(F'''{self.__class__.__name__} has no fields.'''  )

											__magic_name__					=      getattr(self	,      class_fields[0].name  )
											__magic_name__					=      all(getattr(self	,      field.name  ) is None for field in class_fields[1:]  )

											if other_fields_are_none and isinstance(_lowerCAmelCase	,      _lowerCAmelCase  ):
																	for key, value in first_field.items():
																							__magic_name__					=      value
											else:
																	for field in class_fields:
																							__magic_name__					=      getattr(self	,      field.name  )
																							if v is not None:
																													__magic_name__					=      v
					def __delitem__(						self       :						Dict	,      *_lowerCAmelCase       :						List[str]	,      **_lowerCAmelCase       :						List[str]  )							->					List[str]:



											'''simple docstring'''





											raise Exception(F'''You cannot use ``__delitem__`` on a {self.__class__.__name__} instance.'''  )
					def 	a			(						self       :						Optional[int]	,      *_lowerCAmelCase       :						Optional[Any]	,      **_lowerCAmelCase       :						Optional[Any]  )							->					str:



											'''simple docstring'''





											raise Exception(F'''You cannot use ``setdefault`` on a {self.__class__.__name__} instance.'''  )
					def 	a			(						self       :						Union[str, Any]	,      *_lowerCAmelCase       :						List[str]	,      **_lowerCAmelCase       :						Any  )							->					str:



											'''simple docstring'''





											raise Exception(F'''You cannot use ``pop`` on a {self.__class__.__name__} instance.'''  )
					def 	a			(						self       :						Any	,      *_lowerCAmelCase       :						str	,      **_lowerCAmelCase       :						Optional[int]  )							->					List[Any]:



											'''simple docstring'''





											raise Exception(F'''You cannot use ``update`` on a {self.__class__.__name__} instance.'''  )
					def __getitem__(						self       :						Optional[Any]	,      _lowerCAmelCase       :						Any  )							->					Tuple:



											'''simple docstring'''





											if isinstance(_lowerCAmelCase	,      _lowerCAmelCase  ):
																	__magic_name__					=      dict(self.items()  )
																	return inner_dict[k]
											else:
																	return self.to_tuple()[k]
					def __setattr__(						self       :						str	,      _lowerCAmelCase       :						Optional[Any]	,      _lowerCAmelCase       :						Optional[int]  )							->					int:



											'''simple docstring'''





											if name in self.keys() and value is not None:
																	# Don't call self.__setitem__ to avoid recursion errors
																	super().__setitem__(_lowerCAmelCase	,      _lowerCAmelCase  )
											super().__setattr__(_lowerCAmelCase	,      _lowerCAmelCase  )
					def __setitem__(						self       :						Optional[Any]	,      _lowerCAmelCase       :						Optional[Any]	,      _lowerCAmelCase       :						List[str]  )							->					Optional[int]:



											'''simple docstring'''





											super().__setitem__(_lowerCAmelCase	,      _lowerCAmelCase  )
											# Don't call self.__setattr__ to avoid recursion errors
											super().__setattr__(_lowerCAmelCase	,      _lowerCAmelCase  )







					def 	a			(						self       :						str  )							->					Tuple[Any]:



											'''simple docstring'''





											return tuple(self[k] for k in self.keys()  )

