
import math


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   Union[str, Any]					=				[]
      UpperCamelCase__    :   str					=				2
      UpperCamelCase__    :   Optional[int]					=				int(math.sqrt(UpperCamelCase__		)		)  # Size of every segment
      UpperCamelCase__    :   Dict					=				[True] * (end + 1)
      UpperCamelCase__    :   Optional[Any]					=				[]

      while start <= end:
            if temp[start] is True:
                  in_prime.append(UpperCamelCase__		)
                  for i in range(start * start ,		end + 1 ,		UpperCamelCase__		):
                        UpperCamelCase__    :   List[Any]					=				False
            start += 1
      prime += in_prime

      UpperCamelCase__    :   Any					=				end + 1
      UpperCamelCase__    :   List[Any]					=				min(2 * end ,		UpperCamelCase__		)

      while low <= n:
            UpperCamelCase__    :   Optional[int]					=				[True] * (high - low + 1)
            for each in in_prime:
                  UpperCamelCase__    :   List[Any]					=				math.floor(low / each		) * each
                  if t < low:
                        t += each

                  for j in range(UpperCamelCase__ ,		high + 1 ,		UpperCamelCase__		):
                        UpperCamelCase__    :   str					=				False

            for j in range(len(UpperCamelCase__		)		):
                  if temp[j] is True:
                        prime.append(j + low		)

            UpperCamelCase__    :   Any					=				high + 1
            UpperCamelCase__    :   int					=				min(high + end ,		UpperCamelCase__		)

      return prime
print(sieve(1_0**6))




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCamelCase      ={"configuration_swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig", "SwinOnnxConfig"]}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
        "SwinForImageClassification",
        "SwinForMaskedImageModeling",
        "SwinModel",
        "SwinPreTrainedModel",
        "SwinBackbone",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFSwinForImageClassification",
        "TFSwinForMaskedImageModeling",
        "TFSwinModel",
        "TFSwinPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_swin import (
            SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwinBackbone,
            SwinForImageClassification,
            SwinForMaskedImageModeling,
            SwinModel,
            SwinPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_swin import (
            TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSwinForImageClassification,
            TFSwinForMaskedImageModeling,
            TFSwinModel,
            TFSwinPreTrainedModel,
        )

else:
    import sys

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


