chore: import upstream snapshot with attribution
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# Copyright (c) Microsoft. All rights reserved.
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# Even though there is no strict separation between errors and exceptions in Python, it is a good practice to use:
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# - Exceptions for exceptional conditions that a reasonable application may wish to catch.
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# - Errors for exceptional conditions that are not reasonable to catch.
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# for instance syntax errors in a template should be called ...Error,
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# while rendering of the same template should raise an ...Exception.
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# every error should derive from KernelException (including errors)
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# all raised exceptions should use the raise ... from exc syntax to preserve the original traceback
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class KernelException(Exception):
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"""The base class for all Semantic Kernel exceptions."""
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pass
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class KernelServiceNotFoundError(KernelException):
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"""Raised when a service is not found in the kernel."""
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pass
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class KernelPluginNotFoundError(KernelException):
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"""Raised when a plugin is not found in the kernel."""
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pass
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class KernelPluginInvalidConfigurationError(KernelException):
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"""Raised when a plugin configuration is invalid."""
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pass
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class KernelFunctionNotFoundError(KernelException):
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"""Raised when a function is not found in the kernel."""
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pass
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class KernelFunctionAlreadyExistsError(KernelException):
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"""Raised when a function is already registered in the kernel."""
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pass
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class KernelInvokeException(KernelException):
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"""Raised when an error occurs while invoking a function in the kernel."""
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pass
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class OperationCancelledException(KernelException):
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"""Raised when an operation is cancelled."""
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pass
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__all__ = [
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"KernelException",
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"KernelFunctionAlreadyExistsError",
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"KernelFunctionNotFoundError",
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"KernelInvokeException",
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"KernelPluginInvalidConfigurationError",
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"KernelPluginNotFoundError",
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"KernelServiceNotFoundError",
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"OperationCancelledException",
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]
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