



# 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_		 =					logging.get_logger(__name__)


@dataclass
class 	lowerCamelCase__	:



 """simple docstring"""

 def __init__(    self					:					List[Any]			,						__lowerCAmelCase					:					Dict=False			,						__lowerCAmelCase					:					str=False			,						__lowerCAmelCase					:					Optional[int]=6.0			,						__lowerCAmelCase					:					Dict=None			,						__lowerCAmelCase					:					Dict=False			,						__lowerCAmelCase					:					Any=False			,						__lowerCAmelCase					:					str=None			,						__lowerCAmelCase					:					Tuple="fp4"			,						__lowerCAmelCase					:					Dict=False			,						**__lowerCAmelCase					:					List[str]			,						)   ->	List[Any]:
    _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(__lowerCAmelCase			,						__lowerCAmelCase      ):
       _A      =       getattr(__lowerCAmelCase			,						__lowerCAmelCase      )
    elif isinstance(__lowerCAmelCase			,						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					:					Optional[Any]      )   ->	str:
    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     snake_case_      (    self					:					Dict      )   ->	str:
    return self.load_in_abit or self.load_in_abit

 def     snake_case_      (    self					:					Union[str, Any]      )   ->	Tuple:
    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					:					List[Any]			,						__lowerCAmelCase					:					List[Any]			,						__lowerCAmelCase					:					Optional[Any]			,						**__lowerCAmelCase					:					Optional[Any]      )   ->	Optional[Any]:
    _A      =       cls(**__lowerCAmelCase      )

    _A      =       []
    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     snake_case_      (    self					:					Dict			,						__lowerCAmelCase					:					Union[str, os.PathLike]      )   ->	Optional[int]:
    with open(__lowerCAmelCase			,						'''w'''			,						encoding='''utf-8'''      ) as writer:
       _A      =       self.to_dict()
       _A      =       json.dumps(__lowerCAmelCase			,						indent=2			,						sort_keys=__lowerCAmelCase      ) + '''\n'''

       writer.write(__lowerCAmelCase      )

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

    return output

 def __repr__(    self					:					Optional[int]      )   ->	List[str]:
    return f'''{self.__class__.__name__} {self.to_json_string()}'''

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

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








def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:bytes				)  ->     str:
   return "".join([hex(_snake_case				)[2:].zfill(2				).upper() for byte in list(_snake_case				)]				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:str				)  ->     bytes:
   # Check data validity, following RFC3548
   # https://www.ietf.org/rfc/rfc3548.txt
   if (len(_snake_case				) % 2) != 0:
      raise ValueError(
          '''Base16 encoded data is invalid:
Data does not have an even number of hex digits.'''				)
   # Check the character set - the standard base16 alphabet
   # is uppercase according to RFC3548 section 6
   if not set(_snake_case				) <= set('''0123456789ABCDEF'''				):
      raise ValueError(
          '''Base16 encoded data is invalid:
Data is not uppercase hex or it contains invalid characters.'''				)
   # For every two hexadecimal digits (= a byte), turn it into an integer.
   # Then, string the result together into bytes, and return it.
   return bytes(int(data[i] + data[i + 1]	,   16				) for i in range(0	,   len(_snake_case				)	,   2				)				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()



