


# 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			:  Dict     =logging.get_logger(__name__)







@dataclass
class 				snake_case__:







						'''simple docstring'''




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

										if bnb_abit_compute_dtype is None:
														lowerCAmelCase_ :      List[str]    				=				torch.floataa
										elif isinstance(__lowercase   ,						__lowercase							):
														lowerCAmelCase_ :      int    				=				getattr(__lowercase   ,						__lowercase							)
										elif isinstance(__lowercase   ,						torch.dtype							):
														lowerCAmelCase_ :      str    				=				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							)					->    Optional[int]:
										if not isinstance(self.llm_inta_threshold   ,						__lowercase							):
														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   ,						__lowercase							):
														raise ValueError('''llm_int8_skip_modules must be a list of strings'''							)
										if not isinstance(self.llm_inta_enable_fpaa_cpu_offload   ,						__lowercase							):
														raise ValueError('''llm_int8_enable_fp32_cpu_offload must be a boolean'''							)

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

										if not isinstance(self.bnb_abit_use_double_quant   ,						__lowercase							):
														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							)					->    str:
										return self.load_in_abit or self.load_in_abit




						def 						lowercase_ (				self							)					->    Dict:
										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   ,						__lowercase   ,						__lowercase   ,						**__lowercase							)					->    str:
										lowerCAmelCase_ :      Union[str, Any]    				=				cls(**__lowercase							)

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

										if return_unused_kwargs:
														return config, kwargs
										else:
														return config




						def 						lowercase_ (				self   ,						__lowercase							)					->    Union[str, Any]:
										with open(__lowercase   ,						'''w'''   ,						encoding='''utf-8'''							) as writer:
														lowerCAmelCase_ :      Union[str, Any]    				=				self.to_dict()
														lowerCAmelCase_ :      Optional[int]    				=				json.dumps(__lowercase   ,						indent=2   ,						sort_keys=__lowercase							) + '''\n'''

														writer.write(__lowercase							)




						def 						lowercase_ (				self							)					->    Dict[str, Any]:
										lowerCAmelCase_ :      Dict    				=				copy.deepcopy(self.__dict__							)
										lowerCAmelCase_ :      Any    				=				str(output['''bnb_4bit_compute_dtype''']							).split('''.'''							)[1]

										return output




						def __repr__(				self							)					->    int:
										return f"""{self.__class__.__name__} {self.to_json_string()}"""




						def 						lowercase_ (				self   ,						__lowercase = True							)					->    str:
										if use_diff is True:
														lowerCAmelCase_ :      List[Any]    				=				self.to_diff_dict()
										else:
														lowerCAmelCase_ :      Tuple    				=				self.to_dict()
										return json.dumps(__lowercase   ,						indent=2   ,						sort_keys=__lowercase							) + "\n"




						def 						lowercase_ (				self							)					->    Dict[str, Any]:
										lowerCAmelCase_ :      int    				=				self.to_dict()

										# get the default config dict
										lowerCAmelCase_ :      int    				=				BitsAndBytesConfig().to_dict()

										lowerCAmelCase_ :      Any    				=				{}

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

										return serializable_config_dict



from __future__ import annotations



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ ,   )-> tuple:
				if (electron_conc, hole_conc, intrinsic_conc).count(0 ) != 1:
								raise ValueError('''You cannot supply more or less than 2 values''' )
				elif electron_conc < 0:
								raise ValueError('''Electron concentration cannot be negative in a semiconductor''' )
				elif hole_conc < 0:
								raise ValueError('''Hole concentration cannot be negative in a semiconductor''' )
				elif intrinsic_conc < 0:
								raise ValueError(
								    '''Intrinsic concentration cannot be negative in a semiconductor''' )
				elif electron_conc == 0:
								return (
								    "electron_conc",
								    intrinsic_conc**2 / hole_conc,
								)
				elif hole_conc == 0:
								return (
								    "hole_conc",
								    intrinsic_conc**2 / electron_conc,
								)
				elif intrinsic_conc == 0:
								return (
								    "intrinsic_conc",
								    (electron_conc * hole_conc) ** 0.5,
								)
				else:
								return (-1, -1)


if __name__ == "__main__":
						import doctest

						doctest.testmod()