
"""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


A__ :       Dict				= logging.get_logger(__name__)


@dataclass
class       __magic_name__							:
       def __init__(  self			,					A_=False			,					A_=False			,					A_=6.0			,					A_=None			,					A_=False			,					A_=False			,					A_=None			,					A_="fp4"			,					A_=False			,					**A_			,					)  ->						Tuple:





         """simple docstring"""




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

         if bnb_abit_compute_dtype is None:
           _lowercase:      List[Any]   			=  torch.floataa
         elif isinstance(A_			,					A_							):
           _lowercase:      Dict   			=  getattr(A_			,					A_							)
         elif isinstance(A_			,					torch.dtype							):
           _lowercase:      List[Any]   			=  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]:





         """simple docstring"""




         if not isinstance(self.llm_inta_threshold			,					A_							):
           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			,					A_							):
           raise ValueError('''llm_int8_skip_modules must be a list of strings'''							)
         if not isinstance(self.llm_inta_enable_fpaa_cpu_offload			,					A_							):
           raise ValueError('''llm_int8_enable_fp32_cpu_offload must be a boolean'''							)

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

         if not isinstance(self.bnb_abit_use_double_quant			,					A_							):
           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							)  ->						int:





         """simple docstring"""




         return self.load_in_abit or self.load_in_abit
       def 				lowercase_				(  self							)  ->						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 				lowercase_				(  cls			,					A_			,					A_			,					**A_							)  ->						Any:





         """simple docstring"""




         _lowercase:      Any   			=  cls(**A_							)

         _lowercase:      Union[str, Any]   			=  []
         for key, value in kwargs.items():
           if hasattr(A_			,					A_							):
             setattr(A_			,					A_			,					A_							)
             to_remove.append(A_							)
         for key in to_remove:
           kwargs.pop(A_			,					A_							)

         if return_unused_kwargs:
           return config, kwargs
         else:
           return config
       def 				lowercase_				(  self			,					A_							)  ->						List[Any]:





         """simple docstring"""




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

           writer.write(A_							)
       def 				lowercase_				(  self							)  ->						Dict[str, Any]:





         """simple docstring"""




         _lowercase:      int   			=  copy.deepcopy(self.__dict__							)
         _lowercase:      Any   			=  str(output['''bnb_4bit_compute_dtype''']							).split('''.'''							)[1]

         return output
       def __repr__(  self							)  ->						int:





         """simple docstring"""




         return f'''{self.__class__.__name__} {self.to_json_string()}'''
       def 				lowercase_				(  self			,					A_ = True							)  ->						str:





         """simple docstring"""




         if use_diff is True:
           _lowercase:      str   			=  self.to_diff_dict()
         else:
           _lowercase:      Union[str, Any]   			=  self.to_dict()
         return json.dumps(A_			,					indent=2			,					sort_keys=A_							) + "\n"



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





         """simple docstring"""




         _lowercase:      Optional[Any]   			=  self.to_dict()

         # get the default config dict
         _lowercase:      Any   			=  BitsAndBytesConfig().to_dict()

         _lowercase:      str   			=  {}

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

         return serializable_config_dict


"""simple docstring"""




import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
A__ :       Optional[int]				= [
    'kernels/rwkv/wkv_cuda.cu',
    'kernels/rwkv/wkv_op.cpp',
    'kernels/deformable_detr/ms_deform_attn.h',
    'kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh',
    'models/graphormer/algos_graphormer.pyx',
]




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  for file in FILES_TO_FIND:
    if not (transformers_path / file).exists():
      return False
  return True


if __name__ == "__main__":
  A__ :       List[Any]				= argparse.ArgumentParser()
  parser.add_argument('--check_lib', action='store_true', help='Whether to check the build or the actual package.')
  A__ :       Optional[int]				= parser.parse_args()
  if args.check_lib:
    A__ :       Union[str, Any]				= importlib.import_module('transformers')
    A__ :       Optional[Any]				= Path(transformers_module.__file__).parent
  else:
    A__ :       str				= Path.cwd() / 'build/lib/transformers'
  if not test_custom_files_are_present(transformers_path):
    raise ValueError('The built release does not contain the custom files. Fix this before going further!')
