





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__lowerCamelCase	:					Any			  =					{
    """configuration_blenderbot_small""": [
        """BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlenderbotSmallConfig""",
        """BlenderbotSmallOnnxConfig""",
    ],
    """tokenization_blenderbot_small""": ["""BlenderbotSmallTokenizer"""],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					Tuple			  =					["""BlenderbotSmallTokenizerFast"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					int			  =					[
        """BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """BlenderbotSmallForCausalLM""",
        """BlenderbotSmallForConditionalGeneration""",
        """BlenderbotSmallModel""",
        """BlenderbotSmallPreTrainedModel""",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					Dict			  =					[
        """TFBlenderbotSmallForConditionalGeneration""",
        """TFBlenderbotSmallModel""",
        """TFBlenderbotSmallPreTrainedModel""",
    ]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase	:					Dict			  =					[
        """FlaxBlenderbotSmallForConditionalGeneration""",
        """FlaxBlenderbotSmallModel""",
        """FlaxBlenderbotSmallPreTrainedModel""",
    ]

if TYPE_CHECKING:
    from .configuration_blenderbot_small import (
        BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlenderbotSmallConfig,
        BlenderbotSmallOnnxConfig,
    )
    from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_blenderbot_small import (
            BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
            BlenderbotSmallForCausalLM,
            BlenderbotSmallForConditionalGeneration,
            BlenderbotSmallModel,
            BlenderbotSmallPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_blenderbot_small import (
            TFBlenderbotSmallForConditionalGeneration,
            TFBlenderbotSmallModel,
            TFBlenderbotSmallPreTrainedModel,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_blenderbot_small import (
            FlaxBlenderbotSmallForConditionalGeneration,
            FlaxBlenderbotSmallModel,
            FlaxBlenderbotSmallPreTrainedModel,
        )

else:
    import sys

    __lowerCamelCase	:					int			  =					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)







import sys

from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

__lowerCamelCase	:					Optional[int]			  =					"""python tqdm regex requests packaging filelock numpy tokenizers""".split()
if sys.version_info < (3, 7):
    pkgs_to_check_at_runtime.append("""dataclasses""")
if sys.version_info < (3, 8):
    pkgs_to_check_at_runtime.append("""importlib_metadata""")

for pkg in pkgs_to_check_at_runtime:
    if pkg in deps:
        if pkg == "tokenizers":
            # must be loaded here, or else tqdm check may fail
            from .utils import is_tokenizers_available

            if not is_tokenizers_available():
                continue  # not required, check version only if installed

        require_version_core(deps[pkg])
    else:
        raise ValueError(f"""can't find {pkg} in {deps.keys()}, check dependency_versions_table.py""")



def 		A_    (					_lowerCAmelCase							,       _lowerCAmelCase=None					)						->			Optional[Any]:
 require_version(deps[pkg]							,       _lowerCAmelCase					)
