

'''simple docstring'''

from typing import TYPE_CHECKING

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


A_       						=							{
    "configuration_blip": [
        "BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlipConfig",
        "BlipTextConfig",
        "BlipVisionConfig",
    ],
    "processing_blip": ["BlipProcessor"],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A_       						=							["BlipImageProcessor"]


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A_       						=							[
        "BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "BlipModel",
        "BlipPreTrainedModel",
        "BlipForConditionalGeneration",
        "BlipForQuestionAnswering",
        "BlipVisionModel",
        "BlipTextModel",
        "BlipForImageTextRetrieval",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A_       						=							[
        "TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFBlipModel",
        "TFBlipPreTrainedModel",
        "TFBlipForConditionalGeneration",
        "TFBlipForQuestionAnswering",
        "TFBlipVisionModel",
        "TFBlipTextModel",
        "TFBlipForImageTextRetrieval",
    ]

if TYPE_CHECKING:
    from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
    from .processing_blip import BlipProcessor

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .image_processing_blip import BlipImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_blip import (
            BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            BlipForConditionalGeneration,
            BlipForImageTextRetrieval,
            BlipForQuestionAnswering,
            BlipModel,
            BlipPreTrainedModel,
            BlipTextModel,
            BlipVisionModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_blip import (
            TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFBlipForConditionalGeneration,
            TFBlipForImageTextRetrieval,
            TFBlipForQuestionAnswering,
            TFBlipModel,
            TFBlipPreTrainedModel,
            TFBlipTextModel,
            TFBlipVisionModel,
        )

else:
    import sys

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









'''simple docstring'''

from math import factorial





def    A_  ( snake_case      ,       snake_case ):

  # If either of the conditions are true, the function is being asked
  # to calculate a factorial of a negative number, which is not possible
  if n < k or k < 0:
    raise ValueError("Please enter positive integers for n and k where n >= k" )
  return factorial(snake_case ) // (factorial(snake_case ) * factorial(n - k ))


if __name__ == "__main__":
    print(
        "The number of five-card hands possible from a standard",
        f'''fifty-two card deck is: {combinations(52, 5)}\n''',
    )

    print(
        "If a class of 40 students must be arranged into groups of",
        f'''4 for group projects, there are {combinations(40, 4)} ways''',
        "to arrange them.\n",
    )

    print(
        "If 10 teams are competing in a Formula One race, there",
        f'''are {combinations(10, 3)} ways that first, second and''',
        "third place can be awarded.",
    )






