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##############################################################################
#
# 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"
"""
test for non-overloaded binary operations
: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
from esys.escript import *
from test_util_base import Test_util_values
class Test_util_binary_new(Test_util_values):
def generate_indices(self, shape):
res=[0]*len(shape)
l=len(shape)
done=False
while not done:
yield tuple(res)
res[0]+=1
for i in range(l-1):
if res[i]>=shape[i]:
res[i]=0
res[i+1]+=1
else:
break
# now we check the last digit
if res[l-1]>=shape[l-1]:
done=True
def subst_outer(self, a, b):
if isinstance(a,float) or isinstance(a, complex):
a=(a,)
if isinstance(b,float) or isinstance(b, complex):
b=(b,)
sa=getShape(a)
sb=getShape(b)
a=numpy.array(a)
b=numpy.array(b)
targettype=a.dtype if a.dtype.kind=='c' else b.dtype
if sa==():
if sb==():
return a*b
resshape=sb
res=numpy.zeros(resshape, dtype=targettype)
for xb in self.generate_indices(sb):
res.itemset(xb,a*b.item(xb))
return res
elif sb==():
resshape=sa
res=numpy.zeros(resshape, dtype=targettype)
for xa in self.generate_indices(sa):
res.itemset(xa,a.item(xa)*b)
return res
else:
resshape=sa+sb
res=numpy.zeros(resshape, dtype=targettype)
for xa in self.generate_indices(sa):
for xb in self.generate_indices(sb):
res.itemset(xa+xb,a.item(xa)*b.item(xb))
return res
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_add_combined(self):
opstring='a+b'
misccheck='isinstance(res, Data) if isinstance(a, Data) or isinstance(b, Data) else True' # doesn't cover all cases;
oraclecheck="refa+refb"
opname="+ operator"
noshapemismatch=True
permitscalarmismatch=True
permit_array_op_data=False
self.generate_binary_operation_test_batch(opstring, misccheck, oraclecheck, opname, no_shape_mismatch=noshapemismatch, permit_scalar_mismatch=permitscalarmismatch, permit_array_op_data=permit_array_op_data)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_div_combined(self):
opstring='a/b'
misccheck='isinstance(res, Data) if isinstance(a, Data) or isinstance(b, Data) else True' # doesn't cover all cases;
oraclecheck="refa/refb"
opname="/ operator"
no_second_arg_zeros=True
noshapemismatch=True
permitscalarmismatch=True
permit_array_op_data=False
self.generate_binary_operation_test_batch(opstring, misccheck, oraclecheck, opname, no_shape_mismatch=noshapemismatch, permit_scalar_mismatch=permitscalarmismatch, permit_array_op_data=permit_array_op_data, no_second_arg_zeros=no_second_arg_zeros)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_mul_combined(self):
opstring='a*b'
misccheck='isinstance(res, Data) if isinstance(a, Data) or isinstance(b, Data) else True' # doesn't cover all cases;
oraclecheck="refa*refb"
opname="* operator"
noshapemismatch=True
permitscalarmismatch=True
permit_array_op_data=False
self.generate_binary_operation_test_batch(opstring, misccheck, oraclecheck, opname, no_shape_mismatch=noshapemismatch, permit_scalar_mismatch=permitscalarmismatch, permit_array_op_data=permit_array_op_data)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_pow_combined(self):
opstring='a**b'
misccheck='isinstance(res, Data) if isinstance(a, Data) or isinstance(b, Data) else True' # doesn't cover all cases;
oraclecheck="refa**refb"
opname="** operator"
noshapemismatch=True
permitscalarmismatch=True
permit_array_op_data=False
no_first_arg_negative=True
no_first_arg_zeros=False
second_large_args=False
first_large_args=False
self.generate_binary_operation_test_batch(opstring, misccheck, oraclecheck, opname, no_shape_mismatch=noshapemismatch, permit_scalar_mismatch=permitscalarmismatch, permit_array_op_data=permit_array_op_data, no_first_arg_negative=no_first_arg_negative, no_first_arg_zeros=no_first_arg_zeros,
second_large_args=second_large_args, first_large_args=first_large_args)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_sub_combined(self):
opstring='a-b'
misccheck='isinstance(res, Data) if isinstance(a, Data) or isinstance(b, Data) else True' # doesn't cover all cases;
oraclecheck="refa-refb"
opname="- operator"
noshapemismatch=True
permitscalarmismatch=True
permit_array_op_data=False
self.generate_binary_operation_test_batch(opstring, misccheck, oraclecheck, opname, no_shape_mismatch=noshapemismatch, permit_scalar_mismatch=permitscalarmismatch, permit_array_op_data=permit_array_op_data)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_inner_combined(self):
opstring='inner(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="numpy.tensordot(refa, refb, axes=getRank(refa))"
opname="inner"
noshapemismatch=True
permitscalarmismatch=False
self.generate_binary_operation_test_batch(opstring, misccheck, oraclecheck, opname, no_shape_mismatch=noshapemismatch, permit_scalar_mismatch=permitscalarmismatch)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_outer_combined(self):
opstring='outer(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="self.subst_outer(refa,refb)"
opname="outer"
noshapemismatch=True
permitscalarmismatch=True
capcombinedrank=True
self.generate_binary_operation_test_batch(opstring, misccheck, oraclecheck, opname, no_shape_mismatch=noshapemismatch, permit_scalar_mismatch=permitscalarmismatch, cap_combined_rank=capcombinedrank)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_matrix_minimum_combined(self):
opstring='minimum(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="numpy.minimum(refa,refb)"
opname="minimum"
noshapemismatch=True
permitscalarmismatch=True
cplx=False
self.generate_binary_operation_test_batch(opstring, misccheck, oraclecheck, opname, no_shape_mismatch=noshapemismatch, permit_scalar_mismatch=permitscalarmismatch, support_cplx=cplx)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_matrix_maximum_combined(self):
opstring='maximum(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="numpy.maximum(refa,refb)"
opname="maximum"
noshapemismatch=True
permitscalarmismatch=True
cplx=False
self.generate_binary_operation_test_batch(opstring, misccheck, oraclecheck, opname, no_shape_mismatch=noshapemismatch, permit_scalar_mismatch=permitscalarmismatch, support_cplx=cplx)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_matrix_mult_combined(self):
opstring='matrix_mult(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="numpy.dot(refa,refb)"
opname="matrix_mult"
aranks=(2,)
self.generate_binary_matrixlike_operation_test_batch_large(opstring, misccheck, oraclecheck, opname, aranks=aranks)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_transpose_matrix_mult_combined(self):
opstring='transposed_matrix_mult(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="numpy.dot(numpy.transpose(refa),refb)"
opname="transposed_matrix_mult"
aranks=(2,)
self.generate_binary_matrixlike_operation_test_batch_large(opstring, misccheck, oraclecheck, opname, aranks=aranks)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_matrix_transposed_mult_combined(self):
opstring='matrix_transposed_mult(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="numpy.dot(refa,numpy.transpose(refb))"
opname="matrix_transposed_mult"
aranks=(2,)
self.generate_binary_matrixlike_operation_test_batch_large(opstring, misccheck, oraclecheck, opname, aranks=aranks)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_tensor_mult_combined(self):
opstring='tensor_mult(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="numpy.dot(refa,refb) if getRank(refa)==2 else numpy.tensordot(refa,refb)"
opname="tensor_mult"
aranks=(2,4)
self.generate_binary_matrixlike_operation_test_batch_large(opstring, misccheck, oraclecheck, opname, aranks=aranks)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_transposed_tensor_mult_combined(self):
opstring='transposed_tensor_mult(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="numpy.dot(transpose(refa),refb) if getRank(refa)==2 else numpy.tensordot(transpose(refa),refb)"
opname="transposed_tensor_mult"
aranks=(2,4)
self.generate_binary_matrixlike_operation_test_batch_large(opstring, misccheck, oraclecheck, opname, aranks=aranks)
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
def test_tensor_transposed_mult_combined(self):
opstring='tensor_transposed_mult(a,b)'
misccheck=None # How to work out what the result of type should be
oraclecheck="numpy.dot(refa,transpose(refb)) if getRank(refa)==2 else numpy.tensordot(refa,transpose(refb))"
opname="tensor_tranposed_mult"
aranks=(2,4)
self.generate_binary_matrixlike_operation_test_batch_large(opstring, misccheck, oraclecheck, opname, aranks=aranks)
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