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import unittest
import TasmanianSG
import sys, os
import numpy as np
import testConfigureData as tdata # needed for Gauss-Patterson table file
import testCommon
ttc = testCommon.TestTasCommon()
class TestTasClass(unittest.TestCase):
'''
Test the read/write functionality in different formats, also the
reading of various meta-data (i.e., version or gpu info)
'''
def __init__(self):
unittest.TestCase.__init__(self, "testNothing")
def testNothing(self):
pass
def checkMetaIO(self):
'''
Test the version I/O, available acceleration, gpu info, print stats
'''
grid = TasmanianSG.TasmanianSparseGrid()
print("Tasmanian Sparse Grids version: {0:1s}".format(grid.getVersion()))
print(" version major: {0:1d}".format(grid.getVersionMajor()))
print(" version minor: {0:1d}".format(grid.getVersionMinor()))
print(" License: {0:1s}".format(grid.getLicense()))
if (grid.isOpenMPEnabled()):
sStatus = "Enabled"
else:
sStatus = "Disabled"
print(" OpenMP: {0:1s}".format(sStatus))
sAvailableAcceleration = ""
sGPUbackend = "none"
if (grid.isCudaEnabled()): sGPUbackend = "CUDA"
if (grid.isHipEnabled()): sGPUbackend = "ROCm/HIP"
if (grid.isDpcppEnabled()): sGPUbackend = "oneAPI/DPC++"
print(" GPU backend: {0:1s}".format(sGPUbackend))
for s in ["cpu-blas", "gpu-cublas", "gpu-cuda", "gpu-magma"]:
if (grid.isAccelerationAvailable(s)):
sAvailableAcceleration += " " + s
print(" Available acceleration:{0:1s}".format(sAvailableAcceleration))
print(" Available GPUs:")
if (grid.getNumGPUs() > 0):
for iGPU in range(grid.getNumGPUs()):
sName = ""
if ("@CMAKE_CXX_COMPILER_ID@" == "MSVC"):
sName = "Unavailable under Windows"
else:
sName = grid.getGPUName(iGPU)
sMem = grid.getGPUMemory(iGPU)
print(" {0:2d}: {1:20s} with{2:6d}MB RAM".format(iGPU, sName, sMem))
else:
print(" none")
# covers the printStats() in python and C++
grid.printStats() # empty grid
grid.makeGlobalGrid(2, 0, 1, "level", "gauss-gegenbauer", [], 3.0)
grid.printStats()
grid.makeGlobalGrid(2, 0, 1, "level", "gauss-jacobi", [], 3.0, 3.0)
grid.printStats()
grid.makeGlobalGrid(2, 1, 1, "level", "custom-tabulated", [], 0.0, 0.0, tdata.sGaussPattersonTableFile)
grid.printStats()
grid.makeSequenceGrid(2, 1, 3, "level", "rleja")
ttc.loadExpN2(grid)
grid.printStats()
grid.makeLocalPolynomialGrid(1, 1, 3)
grid.setDomainTransform(np.array([[2.0, 3.0]]))
grid.printStats()
grid.makeWaveletGrid(2, 1, 1)
grid.printStats()
grid.makeFourierGrid(3, 1, 1, "level")
grid.enableAcceleration("gpu-cuda")
grid.printStats()
def checkReadWriteGlobal(self):
'''
Test reading and writing of Global grids.
'''
# iDimension, iOutputs, iDepth, sType, sRule, fAlpha, fBeta, useTransform, loadFunciton, limitLevels
lGrids = [[3, 2, 2, "level", "leja", 0.0, 0.0, False, False, False],
[2, 1, 4, "level", "clenshaw-curtis", 0.0, 0.0, False, False, False],
[3, 1, 3, "level", "rleja", 0.0, 0.0, True, False, False],
[3, 1, 2, "iptotal", "chebyshev", 0.0, 0.0, False, True, False],
[3, 1, 3, "level", "leja", 0.0, 0.0, True, True, False],
[3, 1, 3, "level", "leja", 0.0, 0.0, True, True, True],
[2, 1, 5, "qptotal", "gauss-hermite", 1.0, 3.0, False, False, False],
[3, 1, 2, "level", "gauss-laguerre", 3.0, 0.0, False, False, True],]
aTransform = np.array([[0.0,1.0],[0.0,1.0],[-2.0,-1.0]])
for lT in lGrids:
gridA = TasmanianSG.TasmanianSparseGrid()
gridB = TasmanianSG.TasmanianSparseGrid()
if (lT[7]):
gridA.makeGlobalGrid(lT[0], lT[1], lT[2], lT[3], lT[4], [], lT[5], lT[6], [], [3, 2, 1])
else:
gridA.makeGlobalGrid(lT[0], lT[1], lT[2], lT[3], lT[4], [], lT[5], lT[6])
#gridA.printStats()
if (lT[7]):
gridA.setDomainTransform(aTransform)
if (lT[8]):
ttc.loadExpN2(gridA)
gridA.write("testSave", bUseBinaryFormat = False)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridA.write("testSave", bUseBinaryFormat = True)
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridB.makeGlobalGrid(1, 0, 1, "level", "rleja")
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.copyGrid(gridA)
ttc.compareGrids(gridA, gridB)
# test an error message from wrong read
try:
gridB.read("Test_If_Bogus_Filename_Produces_an_Error")
except TasmanianSG.TasmanianInputError as TSGError:
TSGError.bShowOnExit = False
self.assertEqual(TSGError.sVariable, "sFilename", "Reading a bogus file properly failed, but the error information is wrong.")
# custom rule test
gridA = TasmanianSG.TasmanianSparseGrid()
gridB = TasmanianSG.TasmanianSparseGrid()
gridA.makeGlobalGrid(2, 0, 4, 'level', 'custom-tabulated', [], 0.0, 0.0, tdata.sGaussPattersonTableFile)
gridB = TasmanianSG.TasmanianSparseGrid()
gridB.makeGlobalGrid(2, 0, 4, 'level', 'gauss-patterson')
ttc.compareGrids(gridA, gridB, bTestRuleNames = False)
gridA.write("testSave", bUseBinaryFormat = False)
gridB.makeGlobalGrid(2, 0, 4, 'level', 'clenshaw-curtis')
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridA.write("testSave", bUseBinaryFormat = True)
gridB.makeGlobalGrid(3, 0, 4, 'level', 'leja')
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
def checkReadWriteSequence(self):
'''
Test reading and writing of Sequence grids.
'''
# iDimension, iOutputs, iDepth, sType, sRule, useTransform, loadFunciton, limitLevels
lGrids = [[3, 2, 2, "level", "leja", False, False, False],
[2, 1, 4, "level", "max-lebesgue", False, False, False],
[3, 1, 3, "level", "rleja", True, False, False],
[3, 1, 3, "level", "rleja", True, False, True],
[3, 1, 2, "iptotal", "min-delta", False, True, False],
[3, 1, 3, "level", "leja", True, True, False],
[3, 1, 3, "level", "leja", True, True, True],]
for lT in lGrids:
gridA = TasmanianSG.TasmanianSparseGrid()
gridB = TasmanianSG.TasmanianSparseGrid()
if (lT[7]):
gridA.makeSequenceGrid(lT[0], lT[1], lT[2], lT[3], lT[4], [], [2, 3, 1])
else:
gridA.makeSequenceGrid(lT[0], lT[1], lT[2], lT[3], lT[4])
if (lT[5]):
gridA.setDomainTransform(np.array([[0.0,1.0],[0.0,1.0],[-2.0,-1.0]]))
if (lT[6]):
ttc.loadExpN2(gridA)
gridA.write("testSave", bUseBinaryFormat = False)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridA.write("testSave", bUseBinaryFormat = True)
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridB.makeGlobalGrid(1, 0, 1, "level", "rleja")
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.copyGrid(gridA)
ttc.compareGrids(gridA, gridB)
def checkReadWriteLocalp(self):
'''
Test reading and writing of Localp grids.
'''
# iDimension, iOutputs, iDepth, iorder, sRule, useTransform, loadFunciton, limitLevels
lGrids = [[3, 2, 2, 0, "localp", False, False, False],
[3, 0, 2, 0, "localp-boundary", False, False, False],
[2, 1, 4, 1, "semi-localp", False, False, False],
[3, 1, 3, 2, "localp", True, False, False],
[3, 1, 2, 3, "localp-zero", False, True, False],
[3, 1, 2, 3, "localp-zero", False, True, True],
[3, 1, 3, 4, "semi-localp", True, True, False],
[3, 1, 3, -1, "semi-localp", True, True, False],
[3, 1, 3, -1, "semi-localp", True, True, True],]
for lT in lGrids:
gridA = TasmanianSG.TasmanianSparseGrid()
gridB = TasmanianSG.TasmanianSparseGrid()
if (lT[7]):
gridA.makeLocalPolynomialGrid(lT[0], lT[1], lT[2], lT[3], lT[4], [3, 1, 2])
else:
gridA.makeLocalPolynomialGrid(lT[0], lT[1], lT[2], lT[3], lT[4])
if (lT[5]):
gridA.setDomainTransform(np.array([[0.0,1.0],[0.0,1.0],[-2.0,-1.0]]))
if (lT[6]):
ttc.loadExpN2(gridA)
gridA.write("testSave", bUseBinaryFormat = False)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridA.write("testSave", bUseBinaryFormat = True)
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridB.makeGlobalGrid(1, 0, 1, "level", "rleja")
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.copyGrid(gridA)
ttc.compareGrids(gridA, gridB)
def checkReadWriteWavelet(self):
'''
Test reading and writing of Wavelet grids.
'''
# iDimension, iOutputs, iDepth, iOrder, useTransform, loadFunciton
lGrids = [[3, 2, 2, 1, False, False, False],
[3, 0, 2, 1, False, False, False],
[2, 1, 4, 1, False, False, False],
[3, 1, 1, 3, True, False, False],
[3, 1, 1, 3, True, False, True],
[3, 1, 2, 1, False, True, False],
[3, 1, 2, 3, True, True, True],
[3, 1, 2, 3, True, True, False],]
for lT in lGrids:
gridA = TasmanianSG.TasmanianSparseGrid()
gridB = TasmanianSG.TasmanianSparseGrid()
if (lT[6]):
gridA.makeWaveletGrid(lT[0], lT[1], lT[2], lT[3], [1, 1, 2])
else:
gridA.makeWaveletGrid(lT[0], lT[1], lT[2], lT[3])
if (lT[4]):
gridA.setDomainTransform(np.array([[0.0,1.0],[0.0,1.0],[-2.0,-1.0]]))
if (lT[5]):
ttc.loadExpN2(gridA)
gridA.write("testSave", bUseBinaryFormat = False)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridA.write("testSave", bUseBinaryFormat = True)
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridB.makeGlobalGrid(1, 0, 1, "level", "rleja")
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.copyGrid(gridA)
ttc.compareGrids(gridA, gridB)
def checkReadWriteFourier(self):
'''
Test reading and writing of Fourier grids.
'''
# iDimension, iOutputs, iDepth, useTransform, loadFunction, useLevelLimits
lGrids = [[3, 2, 2, False, False, False],
[2, 1, 4, False, False, False],
[3, 1, 1, True, False, False],
[3, 1, 1, True, False, True],
[3, 1, 2, False, True, False],
[3, 1, 2, True, True, True],
[3, 1, 2, True, True, False],]
for lT in lGrids:
gridA = TasmanianSG.TasmanianSparseGrid()
gridB = TasmanianSG.TasmanianSparseGrid()
if (lT[5]):
gridA.makeFourierGrid(lT[0], lT[1], lT[2], 'level', [1, 1, 2])
else:
gridA.makeFourierGrid(lT[0], lT[1], lT[2], 'level')
if (lT[3]):
gridA.setDomainTransform(np.array([[0.0,1.0],[0.0,1.0],[-2.0,-1.0]]))
if (lT[4]):
ttc.loadExpN2(gridA)
gridA.write("testSave", bUseBinaryFormat = False)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridA.write("testSave", bUseBinaryFormat = True)
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridB.makeGlobalGrid(1, 0, 1, "level", "rleja")
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.copyGrid(gridA)
ttc.compareGrids(gridA, gridB)
def checkCopySubgrid(self):
grid = TasmanianSG.TasmanianSparseGrid() # test grid
gridTotal = TasmanianSG.TasmanianSparseGrid() # test grid
gridRef1 = TasmanianSG.TasmanianSparseGrid() # test grid
gridRef2 = TasmanianSG.TasmanianSparseGrid() # test grid
gridRef3 = TasmanianSG.TasmanianSparseGrid() # test grid
gridRef4 = TasmanianSG.TasmanianSparseGrid() # test grid
# outputs: source 0 0, 1, 2 2, 3, 4 5
lGrids = ['gridTotal', 'gridRef1', 'gridRef2', 'gridRef3', 'gridRef4']
lOutputs = [6, 1, 3, 3, 1];
lMake = ['.makeGlobalGrid(2, iOutputs, 4, "level", "clenshaw-curtis")',
'.makeSequenceGrid(2, iOutputs, 4, "level", "rleja")',
'.makeLocalPolynomialGrid(2, iOutputs, 4, 2)',
'.makeWaveletGrid(2, iOutputs, 3)',
'.makeFourierGrid(2, iOutputs, 4, "level")']
for sMake in lMake:
for iI in range(len(lOutputs)):
iOutputs = lOutputs[iI]
exec(lGrids[iI] + sMake)
gridTotalValues = []
gridRef1Values = []
gridRef2Values = []
gridRef3Values = []
gridRef4Values = []
aPoints = gridTotal.getPoints()
for iI in range(aPoints.shape[0]):
lModel = [i * np.exp(aPoints[iI][0] + aPoints[iI][1]) for i in range(1, 7)]
gridTotalValues.append(lModel)
gridRef1Values.append(lModel[0:1])
gridRef2Values.append(lModel[0:3])
gridRef3Values.append(lModel[2:5])
gridRef4Values.append(lModel[5:6])
for sGrid in lGrids:
exec(sGrid + ".loadNeededPoints(np.row_stack(" + sGrid + "Values))")
grid.copyGrid(gridTotal)
ttc.compareGrids(grid, gridTotal)
grid.copyGrid(gridTotal, 0, 1)
ttc.compareGrids(grid, gridRef1)
grid.copyGrid(gridTotal, 0, 3)
ttc.compareGrids(grid, gridRef2)
grid.copyGrid(gridTotal, 2, 5)
ttc.compareGrids(grid, gridRef3)
grid.copyGrid(gridTotal, 5, 6)
ttc.compareGrids(grid, gridRef4)
def checkReadWriteMisc(self):
'''
Test reading and writing of domain transforms and testing all rules.
'''
lGrids = ['gridA.makeGlobalGrid(3, 2, 4, "level", "clenshaw-curtis"); gridA.setDomainTransform(aTransform); gridA.setConformalTransformASIN(np.array([3,4,5]))',
'gridA.makeGlobalGrid(3, 2, 4, "level", "gauss-legendre"); gridA.setConformalTransformASIN(np.array([3,5,1]))',
'gridA.makeSequenceGrid(2, 2, 5, "level", "leja"); gridA.setConformalTransformASIN(np.array([0,4]))',
'gridA.makeLocalPolynomialGrid(3, 1, 4, 2, "localp"); gridA.setDomainTransform(aTransform); gridA.setConformalTransformASIN(np.array([5,3,0]))',
'gridA.getNumPoints()']
aTransform = np.array([[0.0,1.0],[0.0,1.0],[-2.0,-1.0]])
for sGrid in lGrids:
gridA = TasmanianSG.TasmanianSparseGrid()
gridB = TasmanianSG.TasmanianSparseGrid()
exec(sGrid)
gridA.write("testSave", bUseBinaryFormat = False)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridA.write("testSave", bUseBinaryFormat = True)
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridB.makeSequenceGrid(1, 1, 0, "level", "leja");
gridB.makeLocalPolynomialGrid(1, 1, 0)
gridB.copyGrid(gridA)
ttc.compareGrids(gridA, gridB)
# Make a grid with every possible rule (catches false-positive and memory crashes)
for sType in TasmanianSG.lsTsgGlobalTypes:
for sRule in TasmanianSG.lsTsgGlobalRules:
if ("custom-tabulated" in sRule):
gridA.makeGlobalGrid(2, 0, 2, sType, sRule, sCustomFilename = tdata.sGaussPattersonTableFile)
else:
gridA.makeGlobalGrid(2, 0, 2, sType, sRule)
gridA.write("testSave", bUseBinaryFormat = False)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridB.makeGlobalGrid(1, 0, 0, "level", "clenshaw-curtis")
gridA.write("testSave", bUseBinaryFormat = True)
gridB.read("testSave")
for sType in TasmanianSG.lsTsgGlobalTypes:
for sRule in TasmanianSG.lsTsgSequenceRules:
gridA.makeSequenceGrid(2, 1, 3, sType, sRule)
gridA.write("testSave", bUseBinaryFormat = False)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
gridB.makeGlobalGrid(1, 0, 0, "level", "clenshaw-curtis")
gridA.write("testSave", bUseBinaryFormat = True)
gridB.read("testSave")
ttc.compareGrids(gridA, gridB)
def checkReadWriteCustomTabulated(self):
'''
Test reading and writing of the CustomTabulated class.
'''
description = "testCT"
def create_nodes(j):
return np.linspace(-1.0, 1.0, num=j)
def create_weights(j):
weights = np.linspace(0.0, 1.0, num=j)
weights = 2.0 * weights / weights.sum()
return weights
# Read and write from explicitly given data.
for i in range(4):
num_levels = i
num_nodes = np.array([3*(j+1) for j in range(i)])
precision = np.array([2*(j+1)-1 for j in range(i)])
nodes = [create_nodes(j) for j in num_nodes]
weights = [create_weights(j) for j in num_nodes]
ctA = TasmanianSG.makeCustomTabulatedFromData(num_levels, num_nodes, precision, nodes, weights, description) # .
ctB = TasmanianSG.CustomTabulated()
ctA.write("testSave")
ctB.read("testSave")
for i in range(num_levels):
read_weights, read_nodes = ctB.getWeightsNodes(i)
np.testing.assert_almost_equal(read_weights, weights[i])
np.testing.assert_almost_equal(read_nodes, nodes[i])
# Read and write from a file.
ctA = TasmanianSG.makeCustomTabulatedFromFile(tdata.sGaussPattersonTableFile)
ctB = TasmanianSG.CustomTabulated()
ctA.write("testSave")
ctB.read("testSave")
ttc.compareCustomTabulated(ctA, ctB)
for i in range(ctB.getNumLevels()):
read_weights, read_nodes = ctB.getWeightsNodes(i)
grid = TasmanianSG.makeGlobalGrid(1, 0, i, "level", "gauss-patterson")
np.testing.assert_almost_equal(read_weights, grid.getQuadratureWeights())
np.testing.assert_almost_equal(read_nodes, grid.getPoints().flatten())
# Test an error message from wrong read.
try:
ctB.read("Test_If_Bogus_Filename_Produces_an_Error")
except TasmanianSG.TasmanianInputError as TSGError:
TSGError.bShowOnExit = False
self.assertEqual(TSGError.sVariable, "sFilename", "Reading a bogus file properly failed, but the error information is wrong.")
def checkGlobalGridCustom(self):
'''
Test makeGlobalGridCustom(), which creates a grid from a CustomTabulated instance.
'''
gridA = TasmanianSG.makeGlobalGrid(1, 1, 3, "level", "custom-tabulated", [], 0.0, 0.0, tdata.sGaussPattersonTableFile)
ct = TasmanianSG.makeCustomTabulatedFromFile(tdata.sGaussPattersonTableFile)
gridB = TasmanianSG.makeGlobalGridCustom(1, 1, 3, "level", ct)
ttc.compareGrids(gridA, gridB)
gridA = TasmanianSG.makeGlobalGrid(2, 1, 3, "level", "custom-tabulated", [], 0.0, 0.0, tdata.sGaussPattersonTableFile)
gridB = TasmanianSG.makeGlobalGridCustom(2, 1, 3, "level", ct)
ttc.compareGrids(gridA, gridB)
def performIOTest(self):
self.checkMetaIO()
self.checkReadWriteGlobal()
self.checkReadWriteSequence()
self.checkReadWriteLocalp()
self.checkReadWriteWavelet()
self.checkReadWriteFourier()
self.checkCopySubgrid()
self.checkReadWriteMisc()
self.checkReadWriteCustomTabulated()
self.checkGlobalGridCustom()
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