
# 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  __magic_name__						:
				'''simple docstring'''







				def __init__(							self:   str		,					_lowerCamelCase:   List[Any]=False		,					_lowerCamelCase:   int=False		,					_lowerCamelCase:   int=6.0		,					_lowerCamelCase:   List[Any]=None		,					_lowerCamelCase:   Tuple=False		,					_lowerCamelCase:   List[str]=False		,					_lowerCamelCase:   List[Any]=None		,					_lowerCamelCase:   Dict="fp4"		,					_lowerCamelCase:   int=False		,					**_lowerCamelCase:   Optional[Any]		,					):
											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     _A							(							self:   int		):
											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     _A							(							self:   Optional[Any]		):
											return self.load_in_abit or self.load_in_abit


				def     _A							(							self:   Union[str, 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     _A							(							cls:   Union[str, Any]		,					_lowerCamelCase:   Tuple		,					_lowerCamelCase:   List[Any]		,					**_lowerCamelCase:   Tuple		):
											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     _A							(							self:   Union[str, Any]		,					_lowerCamelCase:   Union[str, os.PathLike]		):
											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     _A							(							self:   str		):
											SCREAMING_SNAKE_CASE_   	=    copy.deepcopy(self.__dict__		)
											SCREAMING_SNAKE_CASE_   	=    str(output['''bnb_4bit_compute_dtype''']		).split('''.'''		)[1]

											return output


				def __repr__(							self:   Optional[int]		):
											return f"{self.__class__.__name__} {self.to_json_string()}"


				def     _A							(							self:   List[str]		,					_lowerCamelCase:   bool = True		):
											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     _A							(							self:   List[Any]		):
											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








from typing import Any

def 			a   (_lowerCAmelCase     ):
							if not input_list:
														return []
							SCREAMING_SNAKE_CASE_   	=    [input_list.count(_lowerCAmelCase     ) for value in input_list]
							SCREAMING_SNAKE_CASE_   	=    max(_lowerCAmelCase     )  # Gets the maximum count in the input list.
							# Gets values of modes
							return sorted({input_list[i] for i, value in enumerate(_lowerCAmelCase     ) if value == y}     )


if __name__ == "__main__":
			import doctest

			doctest.testmod()


