Supported operations

Here are the operations you can use inside the function you are compiling.
Some of these operations are not supported between two encrypted values. A detailed error will be raised if you try to do something that is not supported.

Supported Python operators.

Supported NumPy functions.

Supported ndarray methods.

Supported ndarray properties.


Control flow constraints.

Some Python control flow statements are not supported. For example, you cannot have an if statement or a while statement for which the condition depends on an encrypted value. However, such statements are supported with constant values (e.g., for i in range(SOME_CONSTANT), if os.environ.get("SOME_FEATURE") == "ON":).

Type constraints.

Another constraint is that you cannot have floating-point inputs or floating-point outputs. You can have floating-point intermediate values as long as they can be converted to an integer Table Lookup (e.g., (60 * np.sin(x)).astype(np.int64)).

Bit width constraints.

There is a limit on the bit width of encrypted values. We are constantly working on increasing this bit width. If you go above the limit, you will get an error.