code: 
  
  
  """simple docstring"""
  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__							(				A_   ,A_							):
  
  
  
  
  
     def __init__(       self)     ->     Any:
        super().__init__()
  
        self.register_buffer("""watermark_image"""			,      torch.zeros((62, 62, 4)))
        _lowerCamelCase  :				List[Any]      =		None
  
  
  
  
  
     def 		UpperCamelCase_     (       self			,      SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE=None)     ->     Tuple:
        # copied from https://github.com/deep-floyd/IF/blob/b77482e36ca2031cb94dbca1001fc1e6400bf4ab/deepfloyd_if/modules/base.py#L287
  
        _lowerCamelCase  :				Any      =		images[0].height
        _lowerCamelCase  :				int      =		images[0].width
  
        _lowerCamelCase  :				Union[str, Any]      =		sample_size or h
  
        _lowerCamelCase  :				int      =		min(h / sample_size			,      w / sample_size)
        _lowerCamelCase      ,						_lowerCamelCase  :				Union[str, Any]      =		(int(h / coef), int(w / coef)) if coef < 1 else (h, w)
  
        _lowerCamelCase      ,						_lowerCamelCase  :				str      =		1024**2, img_w * img_h
        _lowerCamelCase  :				Tuple      =		(Sa / Sa) ** 0.5
        _lowerCamelCase      ,						_lowerCamelCase      ,						_lowerCamelCase  :				int      =		int(K * 62), img_w - int(14 * K), img_h - int(14 * K)
  
        if self.watermark_image_as_pil is None:
           _lowerCamelCase  :				Union[str, Any]      =		self.watermark_image.to(torch.uinta).cpu().numpy()
           _lowerCamelCase  :				Tuple      =		Image.fromarray(SCREAMING_SNAKE_CASE			,      mode="""RGBA""")
           _lowerCamelCase  :				Any      =		watermark_image
  
        _lowerCamelCase  :				int      =		self.watermark_image_as_pil.resize(
            (wm_size, wm_size)			,      PIL_INTERPOLATION["""bicubic"""]			,      reducing_gap=SCREAMING_SNAKE_CASE)
  
        for pil_img in images:
           pil_img.paste(SCREAMING_SNAKE_CASE			,      box=(wm_x - wm_size, wm_y - wm_size, wm_x, wm_y)			,      mask=wm_img.split()[-1])
  
        return images
  
  
style_context: 
  
  
  """simple docstring"""
  import os
  
  from apache_beam.io.filesystems import FileSystems
  from apache_beam.pipeline import Pipeline
  
  from .logging import get_logger
  
  
  UpperCAmelCase   =	2 << 20  # 2mb
  UpperCAmelCase   =	get_logger(__name__)
  
  
  
  
  class   lowercase__							(				A_							):
  
  
  
  
  
     def 		UpperCamelCase_     (       self)     ->     Dict:
        _lowerCamelCase  :				Tuple      =		self._options.get_all_options().get("""runner""")
        return runner in [None, "DirectRunner", "PortableRunner"]
  
  
  
  
  
  
  
  def 							_snake_case			(      __snake_case       :			Union[str, Any]	,   __snake_case       :			List[Any]	,   __snake_case       :			Any=False      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _lowerCamelCase  :				Any      =		FileSystems
     if fs.exists(__snake_case      ):
        if force_upload:
           logger.info(F'Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True.'      )
        else:
           logger.info(F'Remote path already exist: {remote_file_path}. Skipping it as force_upload=False.'      )
           return
     with fs.create(__snake_case      ) as remote_file:
        with open(__snake_case	,   """rb"""      ) as local_file:
           _lowerCamelCase  :				Optional[Any]      =		local_file.read(__snake_case      )
           while chunk:
              remote_file.write(__snake_case      )
              _lowerCamelCase  :				Tuple      =		local_file.read(__snake_case      )
  
  
  
  
  
  def 							_snake_case			(      __snake_case       :			Union[str, Any]	,   __snake_case       :			List[Any]	,   __snake_case       :			Union[str, Any]=False      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _lowerCamelCase  :				int      =		FileSystems
     if os.path.exists(__snake_case      ):
        if force_download:
           logger.info(F'Local path already exist: {remote_file_path}. Overwriting it as force_upload=True.'      )
        else:
           logger.info(F'Local path already exist: {remote_file_path}. Skipping it as force_upload=False.'      )
           return
     with fs.open(__snake_case      ) as remote_file:
        with open(__snake_case	,   """wb"""      ) as local_file:
           _lowerCamelCase  :				str      =		remote_file.read(__snake_case      )
           while chunk:
              local_file.write(__snake_case      )
              _lowerCamelCase  :				Any      =		remote_file.read(__snake_case      )
  
  