





'''simple docstring'''






# 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


A__				:   Optional[int]      =logging.get_logger(__name__)




@dataclass
class  UpperCAmelCase     :




      def __init__(			self			: str			,			__snake_case			: Optional[int]=False			,			__snake_case			: Any=False			,			__snake_case			: Union[str, Any]=6.0			,			__snake_case			: Optional[Any]=None			,			__snake_case			: Any=False			,			__snake_case			: str=False			,			__snake_case			: Any=None			,			__snake_case			: List[str]="fp4"			,			__snake_case			: Tuple=False			,			**__snake_case			: int			,			)				->      List[str]:
            _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(__snake_case			,			__snake_case  ):
                  _lowerCAmelCase							     =							getattr(__snake_case			,			__snake_case  )
            elif isinstance(__snake_case			,			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 				lowercase__    (			self			: str  )				->      Optional[int]:
            if not isinstance(self.llm_inta_threshold			,			__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			,			__snake_case  ):
                  raise ValueError("""llm_int8_skip_modules must be a list of strings"""  )
            if not isinstance(self.llm_inta_enable_fpaa_cpu_offload			,			__snake_case  ):
                  raise ValueError("""llm_int8_enable_fp32_cpu_offload must be a boolean"""  )

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

            if not isinstance(self.bnb_abit_use_double_quant			,			__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 				lowercase__    (			self			: Optional[Any]  )				->      List[Any]:
            return self.load_in_abit or self.load_in_abit




      def 				lowercase__    (			self			: str  )				->      Optional[Any]:
            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 				lowercase__    (			cls			: Tuple			,			__snake_case			: Optional[Any]			,			__snake_case			: List[str]			,			**__snake_case			: Any  )				->      str:
            _lowerCAmelCase							     =							cls(**__snake_case  )

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

            if return_unused_kwargs:
                  return config, kwargs
            else:
                  return config




      def 				lowercase__    (			self			: Tuple			,			__snake_case			: Union[str, os.PathLike]  )				->      str:
            with open(__snake_case			,			"""w"""			,			encoding="""utf-8"""  ) as writer:
                  _lowerCAmelCase							     =							self.to_dict()
                  _lowerCAmelCase							     =							json.dumps(__snake_case			,			indent=2			,			sort_keys=__snake_case  ) + """\n"""

                  writer.write(__snake_case  )




      def 				lowercase__    (			self			: Optional[int]  )				->      Dict[str, Any]:
            _lowerCAmelCase							     =							copy.deepcopy(self.__dict__  )
            _lowerCAmelCase							     =							str(output["""bnb_4bit_compute_dtype"""]  ).split("""."""  )[1]

            return output




      def __repr__(			self			: Union[str, Any]  )				->      Union[str, Any]:
            return f"{self.__class__.__name__} {self.to_json_string()}"




      def 				lowercase__    (			self			: Any			,			__snake_case			: bool = True  )				->      str:
            if use_diff is True:
                  _lowerCAmelCase							     =							self.to_diff_dict()
            else:
                  _lowerCAmelCase							     =							self.to_dict()
            return json.dumps(__snake_case			,			indent=2			,			sort_keys=__snake_case  ) + "\n"




      def 				lowercase__    (			self			: Optional[int]  )				->      Dict[str, Any]:
            _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     _a					(						lowerCamelCase = 100_0000							):
 lowerCamelCase		:	Any							=      set(range(3,	lowerCamelCase,	2							)							)
 primes.add(2							)
 for p in range(3,	lowerCamelCase,	2							):
  if p not in primes:
   continue
  primes.difference_update(set(range(p * p,	lowerCamelCase,	lowerCamelCase							)							)							)

 lowerCamelCase		:	Any							=      [float(lowerCamelCase							) for n in range(limit + 1							)]

 for p in primes:
  for n in range(lowerCamelCase,	limit + 1,	lowerCamelCase							):
   phi[n] *= 1 - 1 / p

 return int(sum(phi[2:]							)							)


if __name__ == "__main__":
      print(f'''{solution() = }''')




