File: example_sparse_grids_07.py

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##############################################################################################################################################################################
# Copyright (c) 2017, Miroslav Stoyanov
#
# This file is part of
# Toolkit for Adaptive Stochastic Modeling And Non-Intrusive ApproximatioN: TASMANIAN
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# INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
# IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
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import numpy as np
import Tasmanian

def example_07():

    print("\n---------------------------------------------------------------------------------------------------\n")
    print("Example 7: the C++ example runs a benchmark between global and sequence grids")
    print("           no need to repeat the example in Python the numbers will not differ")


if (__name__ == "__main__"):
    example_07()