
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__a							  =						{
    """configuration_align""": [
        """ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AlignConfig""",
        """AlignTextConfig""",
        """AlignVisionConfig""",
    ],
    """processing_align""": ["""AlignProcessor"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__a							  =						[
	    """ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """AlignModel""",
	    """AlignPreTrainedModel""",
	    """AlignTextModel""",
	    """AlignVisionModel""",
	]

if TYPE_CHECKING:
	from .configuration_align import (
	    ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    AlignConfig,
	    AlignTextConfig,
	    AlignVisionConfig,
	)
	from .processing_align import AlignProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_align import (
		    ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    AlignModel,
		    AlignPreTrainedModel,
		    AlignTextModel,
		    AlignVisionModel,
		)

else:
	import sys

	__a							  =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






from __future__ import annotations

import math
import random

def    UpperCamelCase_ (	a_  ,				a_  ,				a_		)     ->list[int]:
		A				=d * e - 1
		A				=0
		A				=0
		while p == 0:
				A				=random.randint(2  ,				n - 1		)
				A				=k
				while True:
						if t % 2 == 0:
								A				=t // 2
								A				=(g**t) % n
								A				=math.gcd(x - 1  ,				a_		)
								if x > 1 and y > 1:
										A				=y
										A				=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()




