


from datetime import datetime as dt
import os

from github import Github


snake_case__				:	Tuple					       =					[
    'good first issue',
    'good second issue',
    'good difficult issue',
    'feature request',
    'new model',
    'wip',
]


def    __lowerCamelCase   (      )     ->    Tuple:
   lowerCamelCase_						:   int		= Github(os.environ["""GITHUB_TOKEN"""]					)
   lowerCamelCase_						:   List[str]		= g.get_repo("""huggingface/transformers"""					)
   lowerCamelCase_						:   Any		= repo.get_issues(state="""open"""					)

   for issue in open_issues:
      lowerCamelCase_						:   Any		= sorted([comment for comment in issue.get_comments()]						,						key=lambda A__					: i.created_at						,						reverse=A__					)
      lowerCamelCase_						:   List[Any]		= comments[0] if len(A__					) > 0 else None
      if (
          last_comment is not None
          and last_comment.user.login == "github-actions[bot]"
          and (dt.utcnow() - issue.updated_at).days > 7
          and (dt.utcnow() - issue.created_at).days >= 30
          and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()					)
      ):
         # print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
         issue.edit(state="""closed"""					)
      elif (
          (dt.utcnow() - issue.updated_at).days > 23
          and (dt.utcnow() - issue.created_at).days >= 30
          and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()					)
      ):
         # print(f"Would add stale comment to {issue.number}")
         issue.create_comment(
             """This issue has been automatically marked as stale because it has not had """
             """recent activity. If you think this still needs to be addressed """
             """please comment on this thread.\n\nPlease note that issues that do not follow the """
             """[contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) """
             """are likely to be ignored."""					)


if __name__ == "__main__":
      main()









# 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


snake_case__				:	int					       =					logging.get_logger(__name__)





@dataclass
class   SCREAMING_SNAKE_CASE_			:




       '''simple docstring'''



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

          if bnb_abit_compute_dtype is None:
             lowerCamelCase_						:   int		= torch.floataa
          elif isinstance(__a		,				__a							):
             lowerCamelCase_						:   Tuple		= getattr(__a		,				__a							)
          elif isinstance(__a		,				torch.dtype							):
             lowerCamelCase_						:   List[str]		= bnb_abit_compute_dtype
          else:
             raise ValueError("""bnb_4bit_compute_dtype must be a string or a torch.dtype"""							)

          self.post_init()



       def 				_lowerCAmelCase							(						self				:				Any							)					->Union[str, Any]:
          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 				_lowerCAmelCase							(						self				:				Optional[int]							)					->int:
          return self.load_in_abit or self.load_in_abit



       def 				_lowerCAmelCase							(						self				:				List[str]							)					->List[Any]:
          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 				_lowerCAmelCase							(						cls				:				int		,				__a				:				Dict		,				__a				:				str		,				**__a				:				Any							)					->Optional[Any]:
          lowerCamelCase_						:   Optional[Any]		= cls(**__a							)

          lowerCamelCase_						:   List[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 				_lowerCAmelCase							(						self				:				Optional[Any]		,				__a				:				Union[str, os.PathLike]							)					->Any:
          with open(__a		,				"""w"""		,				encoding="""utf-8"""							) as writer:
             lowerCamelCase_						:   List[Any]		= self.to_dict()
             lowerCamelCase_						:   Dict		= json.dumps(__a		,				indent=2		,				sort_keys=__a							) + """\n"""

             writer.write(__a							)



       def 				_lowerCAmelCase							(						self				:				Tuple							)					->Dict[str, Any]:
          lowerCamelCase_						:   Dict		= copy.deepcopy(self.__dict__							)
          lowerCamelCase_						:   Tuple		= str(output["""bnb_4bit_compute_dtype"""]							).split("""."""							)[1]

          return output



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



       def 				_lowerCAmelCase							(						self				:				Optional[int]		,				__a				:				bool = True							)					->str:
          if use_diff is True:
             lowerCamelCase_						:   Dict		= self.to_diff_dict()
          else:
             lowerCamelCase_						:   Any		= self.to_dict()
          return json.dumps(__a		,				indent=2		,				sort_keys=__a							) + "\n"




       def 				_lowerCAmelCase							(						self				:				Optional[Any]							)					->Dict[str, Any]:
          lowerCamelCase_						:   Any		= self.to_dict()

          # get the default config dict
          lowerCamelCase_						:   List[str]		= BitsAndBytesConfig().to_dict()

          lowerCamelCase_						:   str		= {}

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

          return serializable_config_dict





