"""simple docstring"""







from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE						=    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						=    {
    'openbmb/cpm-ant-10b': 'https://huggingface.co/openbmb/cpm-ant-10b/blob/main/config.json'
    # See all CPMAnt models at https://huggingface.co/models?filter=cpmant
}



class 			_lowerCamelCase      (__lowerCamelCase  ):
				_snake_case  =	"cpmant"







				def __init__(			self     :							List[str]      ,       lowerCamelCase_     :							int = 3_0_7_2_0      ,       lowerCamelCase_     :							int = 4_0_9_6      ,       lowerCamelCase_     :							int = 3_2      ,       lowerCamelCase_     :							int = 1_2_8      ,       lowerCamelCase_     :							int = 1_0_2_4_0      ,       lowerCamelCase_     :							int = 4_8      ,       lowerCamelCase_     :							int = 0.0      ,       lowerCamelCase_     :							int = 5_1_2      ,       lowerCamelCase_     :							int = 2_0_4_8      ,       lowerCamelCase_     :							int = 1E-6      ,       lowerCamelCase_     :							float = 1.0      ,       lowerCamelCase_     :							int = 3_2      ,       lowerCamelCase_     :							int = 3_2      ,       lowerCamelCase_     :							int = 3_2      ,       lowerCamelCase_     :							bool = True      ,       **lowerCamelCase_     :							Union[str, Any]      ,       ):

					"""simple docstring"""






					super().__init__(**lowerCamelCase_    )
					_lowercase			:     Optional[Any]      					=				prompt_types
					_lowercase			:     List[Any]      					=				prompt_length
					_lowercase			:     Tuple      					=				segment_types
					_lowercase			:     Union[str, Any]      					=				hidden_size
					_lowercase			:     List[str]      					=				num_attention_heads
					_lowercase			:     Optional[Any]      					=				dim_head
					_lowercase			:     int      					=				dim_ff
					_lowercase			:     Union[str, Any]      					=				num_hidden_layers
					_lowercase			:     str      					=				position_bias_num_buckets
					_lowercase			:     List[Any]      					=				position_bias_max_distance
					_lowercase			:     List[str]      					=				dropout_p
					_lowercase			:     Optional[Any]      					=				eps
					_lowercase			:     int      					=				use_cache
					_lowercase			:     Optional[Any]      					=				vocab_size
					_lowercase			:     Union[str, Any]      					=				init_std




"""simple docstring"""







from __future__ import annotations

import math
import random


def   __lowerCAmelCase(		__UpperCAmelCase  ,__UpperCAmelCase  ,__UpperCAmelCase      ):






	"""simple docstring"""





	_lowercase			:     Optional[int]      					=				d * e - 1
	_lowercase			:     int      					=				0
	_lowercase			:     Union[str, Any]      					=				0
	while p == 0:
		_lowercase			:     int      					=				random.randint(2  ,n - 1      )
		_lowercase			:     str      					=				k
		while True:
			if t % 2 == 0:
				_lowercase			:     List[Any]      					=				t // 2
				_lowercase			:     int      					=				(g**t) % n
				_lowercase			:     Tuple      					=				math.gcd(x - 1  ,__UpperCAmelCase      )
				if x > 1 and y > 1:
					_lowercase			:     List[str]      					=				y
					_lowercase			:     str      					=				n // y
					break  # find the correct factors
			else:
				break  # t is not divisible by 2, break and choose another g
	return sorted([p, q]      )


if __name__ == "__main__":
						import doctest

						doctest.testmod()



