


# 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


SCREAMING_SNAKE_CASE_		     = logging.get_logger(__name__)

@dataclass
class 	UpperCamelCase__				:



     '''simple docstring'''

     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]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		load_in_abit
           SCREAMING_SNAKE_CASE	=		load_in_abit
           SCREAMING_SNAKE_CASE	=		llm_inta_threshold
           SCREAMING_SNAKE_CASE	=		llm_inta_skip_modules
           SCREAMING_SNAKE_CASE	=		llm_inta_enable_fpaa_cpu_offload
           SCREAMING_SNAKE_CASE	=		llm_inta_has_fpaa_weight
           SCREAMING_SNAKE_CASE	=		bnb_abit_quant_type
           SCREAMING_SNAKE_CASE	=		bnb_abit_use_double_quant

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

           self.post_init()






     def        SCREAMING_SNAKE_CASE__						(							self		:					str )  ->	int:




           '''simple docstring'''


           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        SCREAMING_SNAKE_CASE__						(							self		:					str )  ->	Tuple:




           '''simple docstring'''


           return self.load_in_abit or self.load_in_abit






     def        SCREAMING_SNAKE_CASE__						(							self		:					str )  ->	List[str]:




           '''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        SCREAMING_SNAKE_CASE__						(							cls		:					Optional[Any]		,lowerCamelCase__		:					List[str]		,lowerCamelCase__		:					Optional[int]		,**lowerCamelCase__		:					Any )  ->	List[str]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		cls(**lowerCAmelCase__ )

           SCREAMING_SNAKE_CASE	=		[]
           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        SCREAMING_SNAKE_CASE__						(							self		:					Tuple		,lowerCamelCase__		:					Union[str, os.PathLike] )  ->	Optional[int]:




           '''simple docstring'''


           with open(lowerCAmelCase__		,"""w"""		,encoding="""utf-8""" ) as writer:
                 SCREAMING_SNAKE_CASE	=		self.to_dict()
                 SCREAMING_SNAKE_CASE	=		json.dumps(lowerCAmelCase__		,indent=2		,sort_keys=lowerCAmelCase__ ) + """\n"""

                 writer.write(lowerCAmelCase__ )






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




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		copy.deepcopy(self.__dict__ )
           SCREAMING_SNAKE_CASE	=		str(output["""bnb_4bit_compute_dtype"""] ).split(""".""" )[1]

           return output






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




           '''simple docstring'''


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






     def        SCREAMING_SNAKE_CASE__						(							self		:					Union[str, Any]		,lowerCamelCase__		:					bool = True )  ->	str:




           '''simple docstring'''


           if use_diff is True:
                 SCREAMING_SNAKE_CASE	=		self.to_diff_dict()
           else:
                 SCREAMING_SNAKE_CASE	=		self.to_dict()
           return json.dumps(lowerCAmelCase__		,indent=2		,sort_keys=lowerCAmelCase__ ) + "\n"






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




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		self.to_dict()

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

           SCREAMING_SNAKE_CASE	=		{}

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

           return serializable_config_dict









def      __lowercase     (   _SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			)				->     float:


      '''simple docstring'''


      def get_matched_characters(_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			) -> str:
            SCREAMING_SNAKE_CASE	=		[]
            SCREAMING_SNAKE_CASE	=		min(len(_stra			)				,		len(_stra			)			) // 2
            for i, l in enumerate(_stra			):
                  SCREAMING_SNAKE_CASE	=		int(max(0				,		i - limit			)			)
                  SCREAMING_SNAKE_CASE	=		int(min(i + limit + 1				,		len(_stra			)			)			)
                  if l in _stra[left:right]:
                        matched.append(_SCREAMING_SNAKE_CASE			)
                        SCREAMING_SNAKE_CASE	=		F"""{_stra[0:_stra.index(_SCREAMING_SNAKE_CASE			)]} {_stra[_stra.index(_SCREAMING_SNAKE_CASE			) + 1:]}"""

            return "".join(_SCREAMING_SNAKE_CASE			)

      # matching characters
      SCREAMING_SNAKE_CASE	=		get_matched_characters(_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			)
      SCREAMING_SNAKE_CASE	=		get_matched_characters(_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			)
      SCREAMING_SNAKE_CASE	=		len(_SCREAMING_SNAKE_CASE			)

      # transposition
      SCREAMING_SNAKE_CASE	=		(
          len([(ca, ca) for ca, ca in zip(_SCREAMING_SNAKE_CASE				,		_SCREAMING_SNAKE_CASE			) if ca != ca]			) // 2
      )

      if not match_count:
            SCREAMING_SNAKE_CASE	=		0.0
      else:
            SCREAMING_SNAKE_CASE	=		(
                1
                / 3
                * (
                    match_count / len(_SCREAMING_SNAKE_CASE			)
                    + match_count / len(_SCREAMING_SNAKE_CASE			)
                    + (match_count - transpositions) / match_count
                )
            )

      # common prefix up to 4 characters
      SCREAMING_SNAKE_CASE	=		0
      for ca, ca in zip(stra[:4]				,		stra[:4]			):
            if ca == ca:
                  prefix_len += 1
            else:
                  break

      return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      print(jaro_winkler("""hello""", """world"""))


