

'''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


__lowerCamelCase									=     logging.get_logger(__name__)


@dataclass
class        A__   :



    def __init__(       self		,					UpperCamelCase__=False		,					UpperCamelCase__=False		,					UpperCamelCase__=6.0		,					UpperCamelCase__=None		,					UpperCamelCase__=False		,					UpperCamelCase__=False		,					UpperCamelCase__=None		,					UpperCamelCase__="fp4"		,					UpperCamelCase__=False		,					**UpperCamelCase__		,					)    ->   Union[str, Any]:





           '''simple docstring'''
           A_						       =   load_in_abit
           A_						       =   load_in_abit
           A_						       =   llm_inta_threshold
           A_						       =   llm_inta_skip_modules
           A_						       =   llm_inta_enable_fpaa_cpu_offload
           A_						       =   llm_inta_has_fpaa_weight
           A_						       =   bnb_abit_quant_type
           A_						       =   bnb_abit_use_double_quant

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

           self.post_init()



    def        snake_case_      (       self							)    ->   Union[str, Any]:





           '''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        snake_case_      (       self							)    ->   Dict:





           '''simple docstring'''
           return self.load_in_abit or self.load_in_abit



    def        snake_case_      (       self							)    ->   Dict:





           '''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        snake_case_      (       cls		,					UpperCamelCase__		,					UpperCamelCase__		,					**UpperCamelCase__							)    ->   Optional[int]:





           '''simple docstring'''
           A_						       =   cls(**UpperCamelCase__							)

           A_						       =   []
           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        snake_case_      (       self		,					UpperCamelCase__							)    ->   Tuple:





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

                  writer.write(UpperCamelCase__							)



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





           '''simple docstring'''
           A_						       =   copy.deepcopy(self.__dict__							)
           A_						       =   str(output["""bnb_4bit_compute_dtype"""]							).split("""."""							)[1]

           return output



    def __repr__(       self							)    ->   int:





           '''simple docstring'''
           return f'''{self.__class__.__name__} {self.to_json_string()}'''



    def        snake_case_      (       self		,					UpperCamelCase__ = True							)    ->   str:





           '''simple docstring'''
           if use_diff is True:
                  A_						       =   self.to_diff_dict()
           else:
                  A_						       =   self.to_dict()
           return json.dumps(UpperCamelCase__		,					indent=2		,					sort_keys=UpperCamelCase__							) + "\n"







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





           '''simple docstring'''
           A_						       =   self.to_dict()

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

           A_						       =   {}

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

           return serializable_config_dict



'''simple docstring'''







from bisect import bisect
from itertools import accumulate
def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__					)      ->      Dict:
       A_						       =   sorted(zip(UpperCAmelCase__,							UpperCAmelCase__					),							key=lambda UpperCAmelCase__					: x[0] / x[1],							reverse=UpperCAmelCase__					)
       A_       ,      A_						       =   [i[0] for i in r], [i[1] for i in r]
       A_						       =   list(accumulate(UpperCAmelCase__					)					)
       A_						       =   bisect(UpperCAmelCase__,							UpperCAmelCase__					)
       return (
           0
           if k == 0
           else sum(vl[:k]					) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
           if k != n
           else sum(vl[:k]					)
       )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
