"""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			   = logging.get_logger(__name__)


@dataclass
class     UpperCAmelCase						:



    """simple docstring"""

    def __init__(   self    ,			_UpperCAmelCase=False    ,			_UpperCAmelCase=False    ,			_UpperCAmelCase=6.0    ,			_UpperCAmelCase=None    ,			_UpperCAmelCase=False    ,			_UpperCAmelCase=False    ,			_UpperCAmelCase=None    ,			_UpperCAmelCase="fp4"    ,			_UpperCAmelCase=False    ,			**_UpperCAmelCase    ,			):
       lowercase__:   int					=      load_in_abit
       lowercase__:   Union[str, Any]					=      load_in_abit
       lowercase__:   str					=      llm_inta_threshold
       lowercase__:   Dict					=      llm_inta_skip_modules
       lowercase__:   Optional[Any]					=      llm_inta_enable_fpaa_cpu_offload
       lowercase__:   List[str]					=      llm_inta_has_fpaa_weight
       lowercase__:   Any					=      bnb_abit_quant_type
       lowercase__:   Any					=      bnb_abit_use_double_quant

       if bnb_abit_compute_dtype is None:
          lowercase__:   Any					=      torch.floataa
       elif isinstance(_UpperCAmelCase    ,			_UpperCAmelCase							):
          lowercase__:   Optional[Any]					=      getattr(_UpperCAmelCase    ,			_UpperCAmelCase							)
       elif isinstance(_UpperCAmelCase    ,			torch.dtype							):
          lowercase__:   List[str]					=      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							):
       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							):
       return self.load_in_abit or self.load_in_abit






    def _snake_case			(   self							):
       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							):
       lowercase__:   List[Any]					=      cls(**_UpperCAmelCase							)

       lowercase__:   Any					=      []
       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							):
       with open(_UpperCAmelCase    ,			'''w'''    ,			encoding='''utf-8'''							) as writer:
          lowercase__:   List[str]					=      self.to_dict()
          lowercase__:   Union[str, Any]					=      json.dumps(_UpperCAmelCase    ,			indent=2    ,			sort_keys=_UpperCAmelCase							) + '''\n'''

          writer.write(_UpperCAmelCase							)






    def _snake_case			(   self							):
       lowercase__:   List[str]					=      copy.deepcopy(self.__dict__							)
       lowercase__:   Optional[Any]					=      str(output['''bnb_4bit_compute_dtype''']							).split('''.'''							)[1]

       return output






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






    def _snake_case			(   self    ,			_UpperCAmelCase = True							):
       if use_diff is True:
          lowercase__:   str					=      self.to_diff_dict()
       else:
          lowercase__:   Tuple					=      self.to_dict()
       return json.dumps(_UpperCAmelCase    ,			indent=2    ,			sort_keys=_UpperCAmelCase							) + "\n"






    def _snake_case			(   self							):
       lowercase__:   List[str]					=      self.to_dict()

       # get the default config dict
       lowercase__:   Dict					=      BitsAndBytesConfig().to_dict()

       lowercase__:   List[str]					=      {}

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

       return serializable_config_dict

"""simple docstring"""






from __future__ import annotations

from math import pi, sqrt



def SCREAMING_SNAKE_CASE__			(   __UpperCAmelCase       ,    __UpperCAmelCase )  ->  tuple:

   if inductance <= 0:
      raise ValueError('''Inductance cannot be 0 or negative''' )

   elif capacitance <= 0:
      raise ValueError('''Capacitance cannot be 0 or negative''' )

   else:
      return (
          "Resonant frequency",
          float(1 / (2 * pi * (sqrt(inductance * capacitance ))) ),
      )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
