# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
###############################################################################
"""
The `onnxruntime-extensions` Python package offers an API that allows users to generate models for pre-processing and
post-processing tasks. In addition, it also provides an API to register custom operations implemented in Python.
This enables more flexibility and control over model execution, thus expanding the functionality of the ONNX Runtime.
"""

__author__ = "Microsoft"

from ._version import __version__
from ._ocos import get_library_path
from ._ocos import Opdef, PyCustomOpDef
from ._ocos import hash_64
from ._ocos import enable_py_op
from ._ocos import default_opset_domain


_lib_only = False

try:
    import onnx  # noqa
    import onnxruntime  # noqa
except ImportError:
    _lib_only = True
    pass


_offline_api = [
    "gen_processing_models",
    "ort_inference",
    "OrtPyFunction",
    "PyOrtFunction",
    "optimize_model",
    "make_onnx_model",
    "ONNXRuntimeError",
]

__all__ = [
    "get_library_path",
    "Opdef",
    "onnx_op",
    "PyCustomOpDef",
    "PyOp",
    "enable_py_op",
    "expand_onnx_inputs",
    "hook_model_op",
    "default_opset_domain",
    "hash_64",
    "__version__",
]

# rename the implementation with a more formal name
onnx_op = Opdef.declare
PyOp = PyCustomOpDef


if _lib_only:

    def _unimplemented(*args, **kwargs):
        raise NotImplementedError("ONNX or ONNX Runtime is not installed")

    gen_processing_models = _unimplemented
    OrtPyFunction = _unimplemented
    ort_inference = _unimplemented
    PyOrtFunction = _unimplemented
    optimize_model = _unimplemented
    make_onnx_model = _unimplemented
    ONNXRuntimeError = _unimplemented

else:
    __all__ += _offline_api

    from ._cuops import *  # noqa
    from ._ortapi2 import hook_model_op
    from ._ortapi2 import expand_onnx_inputs
    from ._ortapi2 import OrtPyFunction, ort_inference, optimize_model, make_onnx_model
    from ._ortapi2 import OrtPyFunction as PyOrtFunction  # backward compatibility
    from ._ortapi2 import ONNXRuntimeError, ONNXRuntimeException  # noqa
    from .cvt import gen_processing_models