Performance Optimization

Based on the complexity of smoothing and forecasting algorithms, pycast implements performance critical methods in C++ or OpenCL. To enable those optimized functions, you need to execute the following:

import pycast.common.PyCastObject
PyCastObject.enable_global_optimization()

To disable the optimized functions:

import pycast.common.PyCastObject
PyCastObject.disable_global_optimization()

All objects instantiated after one of those calls will use / not use the optimized functions. All existing instances will not be changed.

Code Example

Based on existing C++ Functions, you can enable optimization for your instances. Therefore you need to:

• inherit from pycast.common.PyCastObject
• decorate the original method with the ‘optimized’ decorator

An example implementation looks like the following:

from pycast.common import PyCastObject
from pycast.common.decorators import optimized
class CustomObject(PyCastObject):
    """Your custom class."""

    @optimized
    def method(self):
        """This is the python implementation of the method that should be replaced with an optimized version."""