






"""simple docstring"""





from collections.abc import Generator
from math import sin



def   a    (     __UpperCAmelCase      :    bytes  )    ->							bytes:
						if len(__UpperCAmelCase  ) != 3_2:
												raise ValueError("""Input must be of length 32"""  )

						__magic_name__:	Any							=       B""""""
						for i in [3, 2, 1, 0]:
												little_endian += string_aa[8 * i : 8 * i + 8]
						return little_endian



def   a    (     __UpperCAmelCase      :    int  )    ->							bytes:
						if i < 0:
												raise ValueError("""Input must be non-negative"""  )

						__magic_name__:	Any							=       format(__UpperCAmelCase      ,   """08x"""  )[-8:]
						__magic_name__:	List[str]							=       B""""""
						for i in [3, 2, 1, 0]:
												little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode("""utf-8"""  )
						return little_endian_hex



def   a    (     __UpperCAmelCase      :    bytes  )    ->							bytes:
						__magic_name__:	List[Any]							=       B""""""
						for char in message:
												bit_string += format(__UpperCAmelCase      ,   """08b"""  ).encode("""utf-8"""  )
						__magic_name__:	int							=       format(len(__UpperCAmelCase  )      ,   """064b"""  ).encode("""utf-8"""  )

						# Pad bit_string to a multiple of 512 chars
						bit_string += b"1"
						while len(__UpperCAmelCase  ) % 5_1_2 != 4_4_8:
												bit_string += b"0"
						bit_string += to_little_endian(start_len[3_2:]  ) + to_little_endian(start_len[:3_2]  )

						return bit_string



def   a    (     __UpperCAmelCase      :    bytes  )    ->							Generator[list[int], None, None]:
						if len(__UpperCAmelCase  ) % 5_1_2 != 0:
												raise ValueError("""Input must have length that's a multiple of 512"""  )

						for pos in range(0      ,   len(__UpperCAmelCase  )      ,   5_1_2  ):
												__magic_name__:	Union[str, Any]							=       bit_string[pos : pos + 5_1_2]
												__magic_name__:	Optional[int]							=       []
												for i in range(0      ,   5_1_2      ,   3_2  ):
																		block_words.append(int(to_little_endian(block[i : i + 3_2]  )      ,   2  )  )
												yield block_words



def   a    (     __UpperCAmelCase      :    int  )    ->							int:
						if i < 0:
												raise ValueError("""Input must be non-negative"""  )

						__magic_name__:	Dict							=       format(__UpperCAmelCase      ,   """032b"""  )
						__magic_name__:	List[str]							=       """"""
						for c in i_str:
												new_str += "1" if c == "0" else "0"
						return int(__UpperCAmelCase      ,   2  )



def   a    (     __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    int  )    ->							int:
						return (a + b) % 2**3_2



def   a    (     __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    int  )    ->							int:
						if i < 0:
												raise ValueError("""Input must be non-negative"""  )
						if shift < 0:
												raise ValueError("""Shift must be non-negative"""  )
						return ((i << shift) ^ (i >> (3_2 - shift))) % 2**3_2



def   a    (     __UpperCAmelCase      :    bytes  )    ->							bytes:
						__magic_name__:	str							=       preprocess(__UpperCAmelCase  )

						__magic_name__:	Union[str, Any]							=       [int(2**3_2 * abs(sin(i + 1  )  )  ) for i in range(6_4  )]

						# Starting states
						__magic_name__:	Tuple							=       0x6_7_4_5_2_3_0_1
						__magic_name__:	Dict							=       0xE_F_C_D_A_B_8_9
						__magic_name__:	Any							=       0x9_8_B_A_D_C_F_E
						__magic_name__:	List[str]							=       0x1_0_3_2_5_4_7_6

						__magic_name__:	Any							=       [
						    7,
						    1_2,
						    1_7,
						    2_2,
						    7,
						    1_2,
						    1_7,
						    2_2,
						    7,
						    1_2,
						    1_7,
						    2_2,
						    7,
						    1_2,
						    1_7,
						    2_2,
						    5,
						    9,
						    1_4,
						    2_0,
						    5,
						    9,
						    1_4,
						    2_0,
						    5,
						    9,
						    1_4,
						    2_0,
						    5,
						    9,
						    1_4,
						    2_0,
						    4,
						    1_1,
						    1_6,
						    2_3,
						    4,
						    1_1,
						    1_6,
						    2_3,
						    4,
						    1_1,
						    1_6,
						    2_3,
						    4,
						    1_1,
						    1_6,
						    2_3,
						    6,
						    1_0,
						    1_5,
						    2_1,
						    6,
						    1_0,
						    1_5,
						    2_1,
						    6,
						    1_0,
						    1_5,
						    2_1,
						    6,
						    1_0,
						    1_5,
						    2_1,
						]

						# Process bit string in chunks, each with 16 32-char words
						for block_words in get_block_words(__UpperCAmelCase  ):
												__magic_name__:	Optional[int]							=       aa
												__magic_name__:	Any							=       ba
												__magic_name__:	Optional[int]							=       ca
												__magic_name__:	List[Any]							=       da

												# Hash current chunk
												for i in range(6_4  ):
																		if i <= 1_5:
																								# f = (b & c) | (not_32(b) & d)     # Alternate definition for f
																								__magic_name__:	Optional[Any]							=       d ^ (b & (c ^ d))
																								__magic_name__:	List[str]							=       i
																		elif i <= 3_1:
																								# f = (d & b) | (not_32(d) & c)     # Alternate definition for f
																								__magic_name__:	Union[str, Any]							=       c ^ (d & (b ^ c))
																								__magic_name__:	List[Any]							=       (5 * i + 1) % 1_6
																		elif i <= 4_7:
																								__magic_name__:	str							=       b ^ c ^ d
																								__magic_name__:	Tuple							=       (3 * i + 5) % 1_6
																		else:
																								__magic_name__:	Union[str, Any]							=       c ^ (b | not_aa(__UpperCAmelCase  ))
																								__magic_name__:	Optional[int]							=       (7 * i) % 1_6
																		__magic_name__:	Tuple							=       (f + a + added_consts[i] + block_words[g]) % 2**3_2
																		__magic_name__:	Optional[int]							=       d
																		__magic_name__:	Optional[int]							=       c
																		__magic_name__:	List[Any]							=       b
																		__magic_name__:	Optional[Any]							=       sum_aa(__UpperCAmelCase      ,   left_rotate_aa(__UpperCAmelCase      ,   shift_amounts[i]  )  )

												# Add hashed chunk to running total
												__magic_name__:	Optional[Any]							=       sum_aa(__UpperCAmelCase      ,   __UpperCAmelCase  )
												__magic_name__:	List[str]							=       sum_aa(__UpperCAmelCase      ,   __UpperCAmelCase  )
												__magic_name__:	Any							=       sum_aa(__UpperCAmelCase      ,   __UpperCAmelCase  )
												__magic_name__:	int							=       sum_aa(__UpperCAmelCase      ,   __UpperCAmelCase  )

						__magic_name__:	Any							=       reformat_hex(__UpperCAmelCase  ) + reformat_hex(__UpperCAmelCase  ) + reformat_hex(__UpperCAmelCase  ) + reformat_hex(__UpperCAmelCase  )
						return digest


if __name__ == "__main__":
							import doctest

							doctest.testmod()











'''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


SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)
@dataclass
class UpperCAmelCase_       :




      """simple docstring"""




      def __init__(			self      :		List[Any]  ,   UpperCAmelCase      :		List[Any]=False  ,   UpperCAmelCase      :		Union[str, Any]=False  ,   UpperCAmelCase      :		Union[str, Any]=6.0  ,   UpperCAmelCase      :		Any=None  ,   UpperCAmelCase      :		Optional[Any]=False  ,   UpperCAmelCase      :		List[Any]=False  ,   UpperCAmelCase      :		Dict=None  ,   UpperCAmelCase      :		Tuple="fp4"  ,   UpperCAmelCase      :		str=False  ,   **UpperCAmelCase      :		Union[str, Any]  ,   )	->	str:


       '''simple docstring'''

       lowercase       : Optional[int]						=load_in_abit
       lowercase       : Union[str, Any]						=load_in_abit
       lowercase       : Tuple						=llm_inta_threshold
       lowercase       : Optional[Any]						=llm_inta_skip_modules
       lowercase       : int						=llm_inta_enable_fpaa_cpu_offload
       lowercase       : Dict						=llm_inta_has_fpaa_weight
       lowercase       : str						=bnb_abit_quant_type
       lowercase       : int						=bnb_abit_use_double_quant

       if bnb_abit_compute_dtype is None:
        lowercase       : str						=torch.floataa
       elif isinstance(UpperCAmelCase  ,   UpperCAmelCase		):
        lowercase       : Tuple						=getattr(UpperCAmelCase  ,   UpperCAmelCase		)
       elif isinstance(UpperCAmelCase  ,   torch.dtype		):
        lowercase       : Optional[int]						=bnb_abit_compute_dtype
       else:
        raise ValueError('''bnb_4bit_compute_dtype must be a string or a torch.dtype'''		)

       self.post_init()






      def 					A__   (			self      :		List[Any]		)	->	Union[str, Any]:


       '''simple docstring'''

       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 					A__   (			self      :		Any		)	->	Tuple:


       '''simple docstring'''

       return self.load_in_abit or self.load_in_abit






      def 					A__   (			self      :		Tuple		)	->	Any:


       '''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 					A__   (			cls      :		Union[str, Any]  ,   UpperCAmelCase      :		Optional[Any]  ,   UpperCAmelCase      :		Any  ,   **UpperCAmelCase      :		List[str]		)	->	Tuple:


       '''simple docstring'''

       lowercase       : Dict						=cls(**UpperCAmelCase		)

       lowercase       : Dict						=[]
       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 					A__   (			self      :		List[Any]  ,   UpperCAmelCase      :		Union[str, os.PathLike]		)	->	Dict:


       '''simple docstring'''

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

        writer.write(UpperCAmelCase		)






      def 					A__   (			self      :		Optional[Any]		)	->	Dict[str, Any]:


       '''simple docstring'''

       lowercase       : Tuple						=copy.deepcopy(self.__dict__		)
       lowercase       : Optional[Any]						=str(output['''bnb_4bit_compute_dtype''']		).split('''.'''		)[1]

       return output






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


       '''simple docstring'''

       return f'{self.__class__.__name__} {self.to_json_string()}'






      def 					A__   (			self      :		List[Any]  ,   UpperCAmelCase      :		bool = True		)	->	str:


       '''simple docstring'''

       if use_diff is True:
        lowercase       : int						=self.to_diff_dict()
       else:
        lowercase       : List[str]						=self.to_dict()
       return json.dumps(UpperCAmelCase  ,   indent=2  ,   sort_keys=UpperCAmelCase		) + "\n"






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


       '''simple docstring'''

       lowercase       : Any						=self.to_dict()

       # get the default config dict
       lowercase       : Union[str, Any]						=BitsAndBytesConfig().to_dict()

       lowercase       : int						={}

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

       return serializable_config_dict



