



"""simple docstring"""






from typing import TYPE_CHECKING

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


lowerCamelCase				:     Any								=  {
    """configuration_codegen""": ["""CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CodeGenConfig""", """CodeGenOnnxConfig"""],
    """tokenization_codegen""": ["""CodeGenTokenizer"""],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase				:     List[Any]								=  ["""CodeGenTokenizerFast"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase				:     int								=  [
        """CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """CodeGenForCausalLM""",
        """CodeGenModel""",
        """CodeGenPreTrainedModel""",
    ]

if TYPE_CHECKING:
    from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
    from .tokenization_codegen import CodeGenTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_codegen_fast import CodeGenTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_codegen import (
            CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
            CodeGenForCausalLM,
            CodeGenModel,
            CodeGenPreTrainedModel,
        )

else:
    import sys

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





from .prime_check import Test

Test()

