






'''simple docstring'''

import copy
import importlib.metadata
import json
import os
from dataclasses import dataclass
from typing import Any, Dict, Union

from packaging import version

from ..utils import is_torch_available, logging


if is_torch_available():
   import torch


SCREAMING_SNAKE_CASE__     =       logging.get_logger(__name__)






@dataclass
class     a_						:

  def __init__(				self      ,		_SCREAMING_SNAKE_CASE=False      ,		_SCREAMING_SNAKE_CASE=False      ,		_SCREAMING_SNAKE_CASE=6.0      ,		_SCREAMING_SNAKE_CASE=None      ,		_SCREAMING_SNAKE_CASE=False      ,		_SCREAMING_SNAKE_CASE=False      ,		_SCREAMING_SNAKE_CASE=None      ,		_SCREAMING_SNAKE_CASE="fp4"      ,		_SCREAMING_SNAKE_CASE=False      ,		**_SCREAMING_SNAKE_CASE      ,		)  ->				Any:



        """simple docstring"""






        UpperCamelCase      = load_in_abit
        UpperCamelCase      = load_in_abit
        UpperCamelCase      = llm_inta_threshold
        UpperCamelCase      = llm_inta_skip_modules
        UpperCamelCase      = llm_inta_enable_fpaa_cpu_offload
        UpperCamelCase      = llm_inta_has_fpaa_weight
        UpperCamelCase      = bnb_abit_quant_type
        UpperCamelCase      = bnb_abit_use_double_quant

        if bnb_abit_compute_dtype is None:
              UpperCamelCase      = torch.floataa
        elif isinstance(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				):
              UpperCamelCase      = getattr(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				)
        elif isinstance(_SCREAMING_SNAKE_CASE      ,		torch.dtype				):
              UpperCamelCase      = bnb_abit_compute_dtype
        else:
              raise ValueError("""bnb_4bit_compute_dtype must be a string or a torch.dtype"""				)

        self.post_init()

  def   A__						(				self				)  ->				List[str]:



        """simple docstring"""






        if not isinstance(self.llm_inta_threshold      ,		_SCREAMING_SNAKE_CASE				):
              raise ValueError("""llm_int8_threshold must be a float"""				)

        if self.llm_inta_skip_modules is not None and not isinstance(self.llm_inta_skip_modules      ,		_SCREAMING_SNAKE_CASE				):
              raise ValueError("""llm_int8_skip_modules must be a list of strings"""				)
        if not isinstance(self.llm_inta_enable_fpaa_cpu_offload      ,		_SCREAMING_SNAKE_CASE				):
              raise ValueError("""llm_int8_enable_fp32_cpu_offload must be a boolean"""				)

        if not isinstance(self.llm_inta_has_fpaa_weight      ,		_SCREAMING_SNAKE_CASE				):
              raise ValueError("""llm_int8_has_fp16_weight must be a boolean"""				)

        if self.bnb_abit_compute_dtype is not None and not isinstance(self.bnb_abit_compute_dtype      ,		torch.dtype				):
              raise ValueError("""bnb_4bit_compute_dtype must be torch.dtype"""				)

        if not isinstance(self.bnb_abit_quant_type      ,		_SCREAMING_SNAKE_CASE				):
              raise ValueError("""bnb_4bit_quant_type must be a string"""				)

        if not isinstance(self.bnb_abit_use_double_quant      ,		_SCREAMING_SNAKE_CASE				):
              raise ValueError("""bnb_4bit_use_double_quant must be a boolean"""				)

        if self.load_in_abit and not version.parse(importlib.metadata.version("""bitsandbytes"""				)				) >= version.parse(
            """0.39.0"""				):
              raise ValueError(
                  """4 bit quantization requires bitsandbytes>=0.39.0 - please upgrade your bitsandbytes version"""				)

  def   A__						(				self				)  ->				Optional[int]:



        """simple docstring"""






        return self.load_in_abit or self.load_in_abit

  def   A__						(				self				)  ->				Optional[Any]:



        """simple docstring"""






        if self.load_in_abit:
              return "llm_int8"
        elif self.load_in_abit and self.bnb_abit_quant_type == "fp4":
              return "fp4"
        elif self.load_in_abit and self.bnb_abit_quant_type == "nf4":
              return "nf4"
        else:
              return None

  @classmethod
  def   A__						(				cls      ,		_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE      ,		**_SCREAMING_SNAKE_CASE				)  ->				Any:



        """simple docstring"""






        UpperCamelCase      = cls(**_SCREAMING_SNAKE_CASE				)

        UpperCamelCase      = []
        for key, value in kwargs.items():
              if hasattr(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				):
                    setattr(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				)
                    to_remove.append(_SCREAMING_SNAKE_CASE				)
        for key in to_remove:
              kwargs.pop(_SCREAMING_SNAKE_CASE      ,		_SCREAMING_SNAKE_CASE				)

        if return_unused_kwargs:
              return config, kwargs
        else:
              return config

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE				)  ->				Tuple:



        """simple docstring"""






        with open(_SCREAMING_SNAKE_CASE      ,		"""w"""      ,		encoding="""utf-8"""				) as writer:
              UpperCamelCase      = self.to_dict()
              UpperCamelCase      = json.dumps(_SCREAMING_SNAKE_CASE      ,		indent=2      ,		sort_keys=_SCREAMING_SNAKE_CASE				) + """\n"""

              writer.write(_SCREAMING_SNAKE_CASE				)

  def   A__						(				self				)  ->				Dict[str, Any]:



        """simple docstring"""






        UpperCamelCase      = copy.deepcopy(self.__dict__				)
        UpperCamelCase      = str(output["""bnb_4bit_compute_dtype"""]				).split("""."""				)[1]

        return output

  def __repr__(				self				)  ->				Any:



        """simple docstring"""






        return F"{self.__class__.__name__} {self.to_json_string()}"

  def   A__						(				self      ,		_SCREAMING_SNAKE_CASE = True				)  ->				str:



        """simple docstring"""






        if use_diff is True:
              UpperCamelCase      = self.to_diff_dict()
        else:
              UpperCamelCase      = self.to_dict()
        return json.dumps(_SCREAMING_SNAKE_CASE      ,		indent=2      ,		sort_keys=_SCREAMING_SNAKE_CASE				) + "\n"


  def   A__						(				self				)  ->				Dict[str, Any]:



        """simple docstring"""






        UpperCamelCase      = self.to_dict()

        # get the default config dict
        UpperCamelCase      = BitsAndBytesConfig().to_dict()

        UpperCamelCase      = {}

        # only serialize values that differ from the default config
        for key, value in config_dict.items():
              if value != default_config_dict[key]:
                    UpperCamelCase      = value

        return serializable_config_dict








'''simple docstring'''

from PIL import Image







def    lowercase__			(				__UpperCamelCase		,						__UpperCamelCase   )->			Image:

      def brightness(__UpperCamelCase   ) -> float:
            return 128 + level + (c - 128)

      if not -255.0 <= level <= 255.0:
            raise ValueError("""level must be between -255.0 (black) and 255.0 (white)"""   )
      return img.point(__UpperCamelCase   )


if __name__ == "__main__":
     # Load image
     with Image.open('image_data/lena.jpg') as img:
          # Change brightness to 100
          SCREAMING_SNAKE_CASE__     =       change_brightness(img, 1_0_0)
          brigt_img.save('image_data/lena_brightness.png', format='png')
