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|
##############################################################################
#
# Copyright (c) 2016 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) 2016 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"
"""
test for util operations for unary operations without tagged data
:remark: use see `test_util`
:var __author__: name of author
:var __copyright__: copyrights
:var __license__: licence agreement
:var __url__: url entry point on documentation
:var __version__: version
:var __date__: date of the version
"""
__author__="Joel Fenwick, joelfenwick@uq.edu.au"
import esys.escriptcore.utestselect as unittest
import numpy
import math
import cmath
from esys.escript import *
from test_util_base import Test_util_base, Test_util_values
haveLapack = hasFeature('lapack')
def getTagStr(f, p=None):
if p is None:
return "self.makeTagged(self.functionspace, "+f+"(r), "+f+"(r2))"
else:
f1=f.replace(p,'r')
f2=f.replace(p,'r2')
return "self.makeTagged(self.functionspace, ("+f1+"), ("+f2+"))"
class Test_util_unary_new(Test_util_values):
"""
test for unary operations.
"""
def iterateops(self, ops, vals):
"""
"""
for p in ops:
o,c,z=p
for v in vals:
res=o(v)
if isinstance(v,complex):
ref=z(v)
else:
ref=c(v)
self.assertTrue(isinstance(res,type(ref)),"wrong type of result for "+str(o))
self.assertTrue(Lsup(res-ref)<=self.RES_TOL*Lsup(ref),"wrong result for "+str(o))
d=Data(v)
res=o(d)
self.assertTrue(Lsup(res-ref)<=self.RES_TOL*Lsup(ref),"wrong result for data on "+str(o))
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_compare_complex_vs_real_data(self):
# Compare results of unary ops provided by util and their python equivalents
# Note that in some cases util calls these python versions so it is not a
# guarantee that they are correct, we also compare with Data implementation
# so we reduce the risk unless there is a fault in the system's underlying c library
# Also note that these calls are only testing scalars
ops=[(sin,math.sin,cmath.sin), (cos,math.cos,cmath.cos), (tan,math.tan,cmath.tan), (log,math.log,cmath.log), (log10, math.log10, cmath.log10), (Abs, abs, abs),
(acos,math.acos,cmath.acos), (acosh,math.acosh,cmath.acosh), (asin,math.asin,cmath.asin), (asinh, math.asinh,cmath.asinh),
(cosh, math.cosh, cmath.cosh), (exp, math.exp, cmath.exp), (sinh, math.sinh, cmath.sinh), (sqrt, math.sqrt, cmath.sqrt)]
vals=[1+0j,-1+0j,1j, -1j, math.pi*1j,3+4j]
self.iterateops(ops,vals)
ops=[(atan,math.atan,cmath.atan)]
vals=[1+0j,-1+0j, math.pi*1j,3+4j]
self.iterateops(ops,vals)
ops=[(atanh,math.atanh,cmath.atanh)]
vals=[1j, -1j, math.pi*1j,3+4j]
self.iterateops(ops,vals)
# test for zero values for those functions which can take it
vals=[0j]
ops=[(sin,math.sin,cmath.sin), (cos,math.cos,cmath.cos), (tan,math.tan,cmath.tan),
(Abs, abs, abs),
(acos,math.acos,cmath.acos), (acosh,math.acosh,cmath.acosh),
(asin,math.asin,cmath.asin), (asinh, math.asinh,cmath.asinh),
(cosh, math.cosh, cmath.cosh), (exp, math.exp, cmath.exp),
(sinh, math.sinh, cmath.sinh), (sqrt, math.sqrt, cmath.sqrt),
(atan,math.atan,cmath.atan), (atanh,math.atanh,cmath.atanh)]
self.iterateops(ops,vals)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_abs_combined(self):
supportcplx=True
opstring="abs(a)"
misccheck="isinstance(res,float) or (isinstance(res, numpy.ndarray) and res.dtype.kind=='f') or (isinstance(res, Data) and not res.isComplex())"
oraclecheck="numpy.abs(ref)"
opname="abs"
update1=getTagStr("numpy.abs")
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_acos_combined(self):
supportcplx=True
opstring="acos(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.arccos(ref)"
opname="acos"
update1=getTagStr("numpy.arccos")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_acosh_combined(self):
supportcplx=True
opstring="acosh(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.arccosh(ref)"
opname="acosh"
update1=getTagStr("numpy.arccosh")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1, input_trans=lambda x: x+2)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_antihermitian_combined(self):
supportcplx=True
opstring="antihermitian(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="(ref-numpy.conjugate(transpose(ref)))/2"
opname="antihermitian"
update1=getTagStr("(r2-numpy.conjugate(transpose(r2)))/2",p='r2')
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1, expect_raise_on_ranks=(0,1,3), expected_exceptions=(ValueError,))
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_antisymmetric_combined(self):
supportcplx=True
opstring="antisymmetric(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="(ref-transpose(ref))/2"
opname="antisymmetric"
update1=getTagStr("(r2-transpose(r2))/2",p='r2')
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1, expect_raise_on_ranks=(0,1,3), expected_exceptions=(ValueError,))
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_asin_combined(self):
supportcplx=True
opstring="asin(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.arcsin(ref)"
opname="asin"
update1=getTagStr("numpy.arcsin")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_asinh_combined(self):
supportcplx=True
opstring="asinh(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.arcsinh(ref)"
opname="asinh"
update1=getTagStr("numpy.arcsinh")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_atan_combined(self):
supportcplx=True
opstring="atan(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.arctan(ref)"
opname="atan"
update1=getTagStr("numpy.arctan")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_atanh_combined(self):
supportcplx=True
opstring="atanh(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.arctanh(ref)"
opname="atanh"
update1=getTagStr("numpy.arctanh")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_clip_combined(self):
supportcplx=False
opstring="clip(a,minval=-0.5, maxval=0.5)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.clip(ref, -0.5, 0.5)"
opname="clip"
update1=getTagStr("numpy.clip(r2, -0.5, 0.5)", p='r2')
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_cos_combined(self):
supportcplx=True
opstring="cos(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.cos(ref)"
opname="cos"
update1=getTagStr("numpy.cos")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_cosh_combined(self):
supportcplx=True
opstring="cosh(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.cosh(ref)"
opname="cosh"
update1=getTagStr("numpy.cosh")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_eigenvalues_combined(self):
supportcplx=True
opstring="eigenvalues(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.linalg.eigvals(ref) if numpy.ndim(ref)==2 else 0."
opname="eigenvalues"
update1=getTagStr("numpy.sort(numpy.linalg.eigvals(r2)) if numpy.ndim(r2)==2 else 0.", p='r2')
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
expect_raise_on_ranks=(0,1,3,4), no_scalars=True,
input_trans=lambda x: symmetric(x) if getRank(x)==2 else x)
# We aren't testing the scalar case
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_eigenvalues_and_eigenvectors_combined(self):
supportcplx=False
opstring="eigenvalues_and_eigenvectors(a)"
misccheck="(Lsup(matrix_mult(a,res[1][:,0])-res[0][0]*res[1][:,0])<=0.001*Lsup(res[0])) and Lsup(matrix_mult(a,res[1][:,1])-res[0][1]*res[1][:,1])<=0.001*Lsup(res[0])"
oraclecheck=None
opname="eigenvalues_and_eigenvectors"
update1=None # note missing update1 step, hoping this won't be a problem
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
expect_raise_on_ranks=(0,1,3,4), no_scalars=True,
input_trans=lambda x: symmetric(x) if getRank(x)==2 else x)
# We aren't testing the scalar case
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_exp_combined(self):
supportcplx=True
opstring="exp(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.exp(ref)"
opname="exp"
update1=getTagStr("numpy.exp")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_hermetitian_combined(self):
supportcplx=True
opstring="hermitian(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="(ref+numpy.conjugate(transpose(ref)))/2"
opname="hermitian"
update1=getTagStr("(r2+numpy.conjugate(transpose(r2)))/2", p='r2')
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
expect_raise_on_ranks=(0,1,3), expected_exceptions=(ValueError,))
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_inverse_combined(self):
supportcplx=False
opstring="inverse(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.linalg.inv(ref)"
opname="inverse"
update1=getTagStr("numpy.linalg.inv")
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
minrank=2, maxrank=2, no_scalars=True)
# escript's inverse also supports scalars so need to check them separately
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_phase_combined(self):
supportcplx=True
opstring="phase(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.angle(ref)"
opname="phase"
update1=getTagStr("numpy.angle")
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
minrank=2, maxrank=2, no_scalars=True)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_sign_combined(self):
supportcplx=False
opstring="sign(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.sign(ref)"
opname="sign"
update1=getTagStr("numpy.sign")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_sin_combined(self):
supportcplx=True
opstring="sin(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.sin(ref)"
opname="sin"
update1=getTagStr("numpy.sin")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_sinh_combined(self):
supportcplx=True
opstring="sinh(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.sinh(ref)"
opname="sinh"
update1=getTagStr("numpy.sinh")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_sqrt_combined(self):
supportcplx=True
opstring="sqrt(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.sqrt(ref)"
opname="sqrt"
update1=getTagStr("numpy.sqrt")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1, input_trans=lambda x: numpy.abs(x) if type(x) is numpy.ndarray and x.dtype.kind=='f' else abs(x) if type(x) is Data and not x.isComplex() else x)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_symmetric_combined(self):
supportcplx=True
opstring="symmetric(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="(ref+transpose(ref))/2"
opname="symmetric"
update1=getTagStr("(r2+transpose(r2))/2", p='r2')
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
expect_raise_on_ranks=(0,1,3), expected_exceptions=(ValueError,))
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_swapaxes_combined(self):
supportcplx=True
opstring="swap_axes(a,axis0=0, axis1=getRank(a)-1)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.swapaxes(ref, 0,ref.ndim-1)"
opname="swap_axes"
update1=getTagStr("numpy.swapaxes(r2, 0, r2.ndim-1)", p='r2')
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
minrank=2, maxrank=4,no_scalars=True)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_tan_combined(self):
supportcplx=True
opstring="tan(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.tan(ref)"
opname="tan"
update1=getTagStr("numpy.tan")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_tanh_combined(self):
supportcplx=True
opstring="tanh(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.tanh(ref)"
opname="tanh"
update1=getTagStr("numpy.tanh")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_trace_combined(self):
supportcplx=True
opstring="trace(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.trace(ref)"
opname="trace"
update1=getTagStr("numpy.trace(r2) if numpy.ndim(r2)>=2 else None", p='r2')
update2=None
# We could also check to see if it throws when given a scalar but we don't
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
no_scalars=True, minrank=2,
expect_raise_on_ranks=(0,1),expected_exceptions=(ValueError,))
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_transpose_combined(self):
supportcplx=True
opstring="transpose(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.transpose(ref, axes=list(range(len(ref.shape)//2,len(ref.shape)))+list(range(0,len(ref.shape)//2)))"
opname="tranpose"
update1=getTagStr("numpy.transpose(r2, axes=list(range(len(r2.shape)//2,len(r2.shape)))+list(range(0,len(r2.shape)//2)))", p='r2')
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
opname="transpose-offset-1"
opstring="transpose(a,axis_offset=1)"
oraclecheck="numpy.transpose(ref, axes=list(range(1,len(ref.shape)))+list(range(0,1)))"
update1=getTagStr("numpy.transpose(r2, axes=list(range(1,len(r2.shape)))+list(range(0,1)))", p='r2')
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
no_scalars=True)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_length_combined(self):
supportcplx=True
opstring="length(a)"
misccheck="isinstance(res,float) or (isinstance(res,Data) and not res.isComplex())"
oraclecheck="numpy.linalg.norm(ref)"
opname="length"
update1=getTagStr("numpy.linalg.norm")
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_log_combined(self):
supportcplx=True
opstring="log(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.log(ref)"
opname="log"
update1=getTagStr("numpy.log")
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
input_trans=lambda x: numpy.abs(x)+1 if type(x) is numpy.ndarray and x.dtype.kind=='f' else abs(x)+1 if type(x) is Data and not x.isComplex() else x+1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_log10_combined(self):
supportcplx=True
opstring="log10(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.log10(ref)"
opname="log10"
update1=getTagStr("numpy.log10")
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1,
input_trans=lambda x: numpy.abs(x)+1 if type(x) is numpy.ndarray and x.dtype.kind=='f' else abs(x)+1 if type(x) is Data and not x.isComplex() else x+1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_maxval_combined(self):
supportcplx=False
opstring="maxval(a)"
misccheck="isinstance(res,float) or (isinstance(a,numpy.ndarray) and res.dtype.kind=='f') or (isinstance(a, Data) and not res.isComplex())"
oraclecheck="numpy.max(ref)"
opname="maxval"
update1=getTagStr("numpy.max")
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_minval_combined(self):
supportcplx=False
opstring="minval(a)"
misccheck="isinstance(res,float) or (isinstance(a,numpy.ndarray) and res.dtype.kind=='f') or (isinstance(a, Data) and not res.isComplex())"
oraclecheck="numpy.min(ref)"
opname="minval"
update1=getTagStr("numpy.min")
update2=None
self.generate_operation_test_batch_large(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_whereNegative_combined(self):
supportcplx=False
opstring="whereNegative(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.where(ref<0, numpy.ones(ref.shape), numpy.zeros(ref.shape))"
opname="whereNegative"
update1=getTagStr("numpy.where(r2<0, numpy.ones(r2.shape), numpy.zeros(r2.shape))", p='r2')
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_whereNonNegative_combined(self):
supportcplx=False
opstring="whereNonNegative(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.where(ref>=0, numpy.ones(ref.shape), numpy.zeros(ref.shape))"
opname="whereNonNegative"
update1=getTagStr("numpy.where(r2>=0, numpy.ones(r2.shape), numpy.zeros(r2.shape))", p='r2')
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_whereNonPositive_combined(self):
supportcplx=False
opstring="whereNonPositive(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.where(ref<=0, numpy.ones(ref.shape), numpy.zeros(ref.shape))"
opname="whereNonPositive"
update1=getTagStr("numpy.where(r2<=0, numpy.ones(r2.shape), numpy.zeros(r2.shape))", p='r2')
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_whereNonZero_combined(self):
supportcplx=True
opstring="whereNonZero(a)"
misccheck="isinstance(res,float) or (isinstance(res, numpy.ndarray) and res.dtype.kind=='f') or (isinstance(res, Data) and not res.isComplex())"
oraclecheck="numpy.where(ref!=0, numpy.ones(ref.shape), numpy.zeros(ref.shape))"
opname="whereNonZero"
update1=getTagStr("numpy.where(r2!=0, numpy.ones(r2.shape), numpy.zeros(r2.shape))", p='r2')
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_wherePositive_combined(self):
supportcplx=False
opstring="wherePositive(a)"
misccheck="isinstance(res,type(a))"
oraclecheck="numpy.where(ref>0, numpy.ones(ref.shape), numpy.zeros(ref.shape))"
opname="wherePositive"
update1=getTagStr("numpy.where(r2>0, numpy.ones(r2.shape), numpy.zeros(r2.shape))", p='r2')
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_whereZero_combined(self):
supportcplx=True
opstring="whereZero(a)"
misccheck="isinstance(res,float) or (isinstance(res, numpy.ndarray) and res.dtype.kind=='f') or (isinstance(res, Data) and not res.isComplex())"
oraclecheck="numpy.where(ref==0, numpy.ones(ref.shape), numpy.zeros(ref.shape))"
opname="whereZero"
update1=getTagStr("numpy.where(r2==0, numpy.ones(r2.shape), numpy.zeros(r2.shape))", p='r2')
update2=None
self.generate_operation_test_batch(supportcplx, opstring, misccheck, oraclecheck, opname, update1)
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