

# 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 						__magic_name__    :


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

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

   self.post_init()


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

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

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


 def _UpperCamelCase	(						self		: str    )    ->      List[str]:
   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 _UpperCamelCase	(						cls		: Optional[Any]			,						lowerCAmelCase__		: List[str]			,						lowerCAmelCase__		: Optional[int]			,						**lowerCAmelCase__		: Any    )    ->      List[str]:
   UpperCAmelCase					      =  cls(**lowerCAmelCase__    )

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

   if return_unused_kwargs:
     return config, kwargs
   else:
     return config


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

     writer.write(lowerCAmelCase__    )


 def _UpperCamelCase	(						self		: List[Any]    )    ->      Dict[str, Any]:
   UpperCAmelCase					      =  copy.deepcopy(self.__dict__    )
   UpperCAmelCase					      =  str(output["bnb_4bit_compute_dtype"]    ).split("."    )[1]

   return output


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


 def _UpperCamelCase	(						self		: Union[str, Any]			,						lowerCAmelCase__		: bool = True    )    ->      str:
   if use_diff is True:
     UpperCAmelCase					      =  self.to_diff_dict()
   else:
     UpperCAmelCase					      =  self.to_dict()
   return json.dumps(lowerCAmelCase__			,						indent=2			,						sort_keys=lowerCAmelCase__    ) + "\n"


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

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

   UpperCAmelCase					      =  {}

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

   return serializable_config_dict






def      _lowerCAmelCase(	__A			):

  if not isinstance(__A   ,       __A			):
    raise TypeError("only integers accepted as input"			)
  else:
    UpperCAmelCase					      =  str(abs(__A			)			)
    UpperCAmelCase					      =  [list(__A			) for char in range(len(__A			)			)]
    for index in range(len(__A			)			):
      num_transpositions[index].pop(__A			)
    return max(
        int("".join(list(__A			)			)			) for transposition in num_transpositions			)


if __name__ == "__main__":
      __import__("doctest").testmod()



