1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172
|
##############################################################################
#
# Copyright (c) 2003-2018 by The University of Queensland
# http://www.uq.edu.au
#
# Primary Business: Queensland, Australia
# Licensed under the Apache License, version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
#
# Development until 2012 by Earth Systems Science Computational Center (ESSCC)
# Development 2012-2013 by School of Earth Sciences
# Development from 2014 by Centre for Geoscience Computing (GeoComp)
#
##############################################################################
from __future__ import print_function, division
__copyright__="""Copyright (c) 2003-2018 by The University of Queensland
http://www.uq.edu.au
Primary Business: Queensland, Australia"""
__license__="""Licensed under the Apache License, version 2.0
http://www.apache.org/licenses/LICENSE-2.0"""
__url__="https://launchpad.net/escript-finley"
import esys.escriptcore.utestselect as unittest
from esys.escriptcore.testing import *
import sys
from esys.escript import *
from esys.escript.util import EPSILON
# This test assumes that samples are in order in the object, ie the last point of sample x is
# immediately before the first point of sample x+1
@unittest.skipIf(getMPISizeWorld() != 1, "num ranks > 1")
class Test_DataAccessTestCase(unittest.TestCase):
#This is a very basic test - it only contains one value.
def testtoListOfTuplesScalarOnNullDomain(self):
inp=42.0
d=Data(inp)
t=d.toListOfTuples(scalarastuple=True)[0]
self.assertTrue(type(t)==type((1.0,)), "Did not return tuple for scalar data")
self.assertTrue(abs(inp-t[0])<EPSILON, "Did not return correct value")
t=d.toListOfTuples(scalarastuple=False)[0]
self.assertTrue(type(t)==float, "Did not return non-tuple when asked")
self.assertTrue(abs(inp-t)<EPSILON, "Did not return correct (non-tuple)")
#Test for one point per sample
def testtoListOfTuples_SinglePPS(self):
fs=getTestDomainFunctionSpace(1,5)
inp=42.0
d=Data(inp,fs,True)
for x in range(5):
d.setValueOfDataPoint(x,43+x)
t=d.toListOfTuples(scalarastuple=True)
self.assertTrue(len(t)==5,"Returned list has the wrong length")
total=0
for x in range(5):
total+=t[x][0]-43-x
self.assertTrue(abs(total)<EPSILON,"Returned list has wrong elements")
inp=[[1,2],[3,4]]
d=Data(inp,fs,True)
for x in range(5):
d.setValueOfDataPoint(x,((x,x+1),(x+2,x+3)))
t=d.toListOfTuples(scalarastuple=True)
ok=True
for x in range(5):
if t[x]!=((x,x+1),(x+2,x+3)): ok=False
self.assertTrue(ok, "Returned matrix does not match")
def testtoListOfTuples_MultiPPS(self):
fs=getTestDomainFunctionSpace(3,5)
inp=0
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,x)
ok=True
t=d.toListOfTuples(scalarastuple=True)
for x in range(15):
if t[x]!=(x,): ok=False
self.assertTrue(ok,"Returned scalar does not match")
inp=(0,0)
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,(2*(x/2),(2*(x/2)+1)))
t=d.toListOfTuples(scalarastuple=True)
ok=True
for x in range(15):
if t[x]!=(2*(x/2),2*(x/2)+1): ok=False
self.assertTrue(ok,"Returned vector does not match")
# Now we try Matricies
inp=((0,0),(0,0))
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,((x,x+1),(x+2,x+3)))
t=d.toListOfTuples(scalarastuple=True)
ok=True
for x in range(15):
if t[x]!=((x,x+1),(x+2,x+3)): ok=False
self.assertTrue(ok,"Returned matrix does not match")
#Now 3-Tensors
inp=(((0,0),(0,0)),((0,0),(0,0)))
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,(((x,x+1),(x+2,x+3)),((x+4,x+5),(x+6,x+7))))
t=d.toListOfTuples(scalarastuple=True)
ok=True
for x in range(15):
if t[x]!=(((x,x+1),(x+2,x+3)),((x+4,x+5),(x+6,x+7))): ok=False
self.assertTrue(ok,"Returned 3-Tensor does not match")
#Now 4-Tensors
inp=((((0,0),(0,0)),((0,0),(0,0))),(((0,0),(0,0)),((0,0),(0,0))))
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,((((x,x+1),(x+2,x+3)),((x+4,x+5),(x+6,x+7))),(((9+x,9+x+1),(9+x+2,9+x+3)),((9+x+4,9+x+5),(9+x+6,9+x+7)))))
t=d.toListOfTuples()
ok=True
for x in range(15):
if t[x]!=((((x,x+1),(x+2,x+3)),((x+4,x+5),(x+6,x+7))),(((9+x,9+x+1),(9+x+2,9+x+3)),((9+x+4,9+x+5),(9+x+6,9+x+7)))): ok=False
self.assertTrue(ok,"Returned 4-Tensor does not match")
# This test sets values then gets them.
# Strictly speaking, it is not a complete test because it cannot tell if functions are broken
# in a symmetric manner
def testToFromTupleTogether(self):
fs=getTestDomainFunctionSpace(3,5)
inp=0
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,x)
ok=True
for x in range(15):
if d.getTupleForDataPoint(x)!=(x,): ok=False
self.assertTrue(ok,"Returned scalar does not match")
inp=(0,0)
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,(2*(x/2),(2*(x/2)+1)))
ok=True
for x in range(15):
if d.getTupleForDataPoint(x)!=(2*(x/2),2*(x/2)+1): ok=False
self.assertTrue(ok,"Returned vector does not match")
# Now we try Matricies
inp=((0,0),(0,0))
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,((x,x+1),(x+2,x+3)))
ok=True
for x in range(15):
if d.getTupleForDataPoint(x)!=((x,x+1),(x+2,x+3)): ok=False
self.assertTrue(ok,"Returned matrix does not match")
#Now 3-Tensors
inp=(((0,0),(0,0)),((0,0),(0,0)))
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,(((x,x+1),(x+2,x+3)),((x+4,x+5),(x+6,x+7))))
ok=True
for x in range(15):
if d.getTupleForDataPoint(x)!=(((x,x+1),(x+2,x+3)),((x+4,x+5),(x+6,x+7))): ok=False
self.assertTrue(ok,"Returned 3-Tensor does not match")
#Now 4-Tensors
inp=((((0,0),(0,0)),((0,0),(0,0))),(((0,0),(0,0)),((0,0),(0,0))))
d=Data(inp,fs,True)
for x in range(15):
d.setValueOfDataPoint(x,((((x,x+1),(x+2,x+3)),((x+4,x+5),(x+6,x+7))),(((9+x,9+x+1),(9+x+2,9+x+3)),((9+x+4,9+x+5),(9+x+6,9+x+7)))))
ok=True
for x in range(15):
if d.getTupleForDataPoint(x)!=((((x,x+1),(x+2,x+3)),((x+4,x+5),(x+6,x+7))),(((9+x,9+x+1),(9+x+2,9+x+3)),((9+x+4,9+x+5),(9+x+6,9+x+7)))): ok=False
self.assertTrue(ok,"Returned 4-Tensor does not match")
if __name__ == "__main__":
run_tests(__name__, exit_on_failure=True)
|