


# 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


lowerCAmelCase           =		logging.get_logger(__name__)





@dataclass
class       A    :


							def __init__(self      ,				lowerCAmelCase=False      ,				lowerCAmelCase=False      ,				lowerCAmelCase=6.0      ,				lowerCAmelCase=None      ,				lowerCAmelCase=False      ,				lowerCAmelCase=False      ,				lowerCAmelCase=None      ,				lowerCAmelCase="fp4"      ,				lowerCAmelCase=False      ,				**lowerCAmelCase      ,				):
									__lowercase=			load_in_abit
									__lowercase=			load_in_abit
									__lowercase=			llm_inta_threshold
									__lowercase=			llm_inta_skip_modules
									__lowercase=			llm_inta_enable_fpaa_cpu_offload
									__lowercase=			llm_inta_has_fpaa_weight
									__lowercase=			bnb_abit_quant_type
									__lowercase=			bnb_abit_use_double_quant

									if bnb_abit_compute_dtype is None:
											__lowercase=			torch.floataa
									elif isinstance(lowerCAmelCase      ,				lowerCAmelCase					):
											__lowercase=			getattr(lowerCAmelCase      ,				lowerCAmelCase					)
									elif isinstance(lowerCAmelCase      ,				torch.dtype					):
											__lowercase=			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					):
									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					):
									return self.load_in_abit or self.load_in_abit


							def 			_A       (self					):
									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      ,				lowerCAmelCase      ,				lowerCAmelCase      ,				**lowerCAmelCase					):
									__lowercase=			cls(**lowerCAmelCase					)

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

											writer.write(lowerCAmelCase					)


							def 			_A       (self					):
									__lowercase=			copy.deepcopy(self.__dict__					)
									__lowercase=			str(output['bnb_4bit_compute_dtype']					).split('.'					)[1]

									return output


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


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







							def 			_A       (self					):
									__lowercase=			self.to_dict()

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

									__lowercase=			{}

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

									return serializable_config_dict










from math import isqrt







def        _lowerCamelCase(	lowercase__	)						->	bool:

		'''simple docstring'''







		return all(number % divisor != 0 for divisor in range(2   , isqrt(lowercase__	) + 1	)	)







def        _lowerCamelCase(	lowercase__ = 1_0**6	)						->	int:

		'''simple docstring'''







		__lowercase=			0
		__lowercase=			1
		__lowercase=			7
		while prime_candidate < max_prime:
				primes_count += is_prime(lowercase__	)

				cube_index += 1
				prime_candidate += 6 * cube_index

		return primes_count


if __name__ == "__main__":
	print(F'{solution() = }')






