


# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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


UpperCAmelCase					:  int			=						logging.get_logger(__name__)







@dataclass
class     __lowercase    :



		"""simple docstring"""

		def __init__(      self						,	A=False						,	A=False						,	A=6.0						,	A=None						,	A=False						,	A=False						,	A=None						,	A="fp4"						,	A=False						,	**A						,	)   ->      Optional[int]:







					'''simple docstring'''







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

					if bnb_abit_compute_dtype is None:
								lowerCamelCase  						=   torch.floataa
					elif isinstance(_UpperCamelCase						,	_UpperCamelCase     ):
								lowerCamelCase  						=   getattr(_UpperCamelCase						,	_UpperCamelCase     )
					elif isinstance(_UpperCamelCase						,	torch.dtype     ):
								lowerCamelCase  						=   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     )   ->      int:







					'''simple docstring'''







					if not isinstance(self.llm_inta_threshold						,	_UpperCamelCase     ):
								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						,	_UpperCamelCase     ):
								raise ValueError("""llm_int8_skip_modules must be a list of strings"""     )
					if not isinstance(self.llm_inta_enable_fpaa_cpu_offload						,	_UpperCamelCase     ):
								raise ValueError("""llm_int8_enable_fp32_cpu_offload must be a boolean"""     )

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

					if not isinstance(self.bnb_abit_use_double_quant						,	_UpperCamelCase     ):
								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     )   ->      str:







					'''simple docstring'''







					return self.load_in_abit or self.load_in_abit







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







					'''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						,	A						,	A						,	**A     )   ->      Tuple:







					'''simple docstring'''







					lowerCamelCase  						=   cls(**_UpperCamelCase     )

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

					if return_unused_kwargs:
								return config, kwargs
					else:
								return config







		def  __A					(      self						,	A     )   ->      int:







					'''simple docstring'''







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

								writer.write(_UpperCamelCase     )







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







					'''simple docstring'''







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

					return output







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







					'''simple docstring'''







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







		def  __A					(      self						,	A = True     )   ->      str:







					'''simple docstring'''







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







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







					'''simple docstring'''







					lowerCamelCase  						=   self.to_dict()

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

					lowerCamelCase  						=   {}

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

					return serializable_config_dict









def      lowercase__      (     __snake_case    :							int     ,       __snake_case    :							int  ):


					'''simple docstring'''


					if a < 0 or b < 0:
										raise ValueError('the value of both inputs must be positive'  )

					UpperCAmelCase_    :      Tuple            =						str(bin(__snake_case  )  )[2:]  # remove the leading "0b"
					UpperCAmelCase_    :      Union[str, Any]            =						str(bin(__snake_case  )  )[2:]  # remove the leading "0b"

					UpperCAmelCase_    :      List[Any]            =						max(len(__snake_case  )     ,       len(__snake_case  )  )

					return "0b" + "".join(
					    str(int(char_a == '1' and char_b == '1'  )  )
					    for char_a, char_b in zip(a_binary.zfill(__snake_case  )     ,       b_binary.zfill(__snake_case  )  )  )


if __name__ == "__main__":
		import doctest

		doctest.testmod()






