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import sys
from numpy.testing import *
import numpy.linalg as linalg
def random(size):
return rand(*size)
class TestSolve(TestCase):
def bench_random(self):
basic_solve = linalg.solve
print
print ' Solving system of linear equations'
print ' =================================='
print ' | contiguous | non-contiguous '
print '----------------------------------------------'
print ' size | scipy | basic | scipy | basic '
for size,repeat in [(20,1000),(100,150),(500,2),(1000,1)][:-1]:
repeat *= 2
print '%5s' % size,
sys.stdout.flush()
a = random([size,size])
# larger diagonal ensures non-singularity:
for i in range(size): a[i,i] = 10*(.1+a[i,i])
b = random([size])
print '| %6.2f ' % measure('solve(a,b)',repeat),
sys.stdout.flush()
print '| %6.2f ' % measure('basic_solve(a,b)',repeat),
sys.stdout.flush()
a = a[-1::-1,-1::-1] # turn into a non-contiguous array
assert not a.flags['CONTIGUOUS']
print '| %6.2f ' % measure('solve(a,b)',repeat),
sys.stdout.flush()
print '| %6.2f ' % measure('basic_solve(a,b)',repeat),
sys.stdout.flush()
print ' (secs for %s calls)' % (repeat)
class TestInv(TestCase):
def bench_random(self):
basic_inv = linalg.inv
print
print ' Finding matrix inverse'
print ' =================================='
print ' | contiguous | non-contiguous '
print '----------------------------------------------'
print ' size | scipy | basic | scipy | basic'
for size,repeat in [(20,1000),(100,150),(500,2),(1000,1)][:-1]:
repeat *= 2
print '%5s' % size,
sys.stdout.flush()
a = random([size,size])
# large diagonal ensures non-singularity:
for i in range(size): a[i,i] = 10*(.1+a[i,i])
print '| %6.2f ' % measure('inv(a)',repeat),
sys.stdout.flush()
print '| %6.2f ' % measure('basic_inv(a)',repeat),
sys.stdout.flush()
a = a[-1::-1,-1::-1] # turn into a non-contiguous array
assert not a.flags['CONTIGUOUS']
print '| %6.2f ' % measure('inv(a)',repeat),
sys.stdout.flush()
print '| %6.2f ' % measure('basic_inv(a)',repeat),
sys.stdout.flush()
print ' (secs for %s calls)' % (repeat)
class TestDet(TestCase):
def bench_random(self):
basic_det = linalg.det
print
print ' Finding matrix determinant'
print ' =================================='
print ' | contiguous | non-contiguous '
print '----------------------------------------------'
print ' size | scipy | basic | scipy | basic '
for size,repeat in [(20,1000),(100,150),(500,2),(1000,1)][:-1]:
repeat *= 2
print '%5s' % size,
sys.stdout.flush()
a = random([size,size])
print '| %6.2f ' % measure('det(a)',repeat),
sys.stdout.flush()
print '| %6.2f ' % measure('basic_det(a)',repeat),
sys.stdout.flush()
a = a[-1::-1,-1::-1] # turn into a non-contiguous array
assert not a.flags['CONTIGUOUS']
print '| %6.2f ' % measure('det(a)',repeat),
sys.stdout.flush()
print '| %6.2f ' % measure('basic_det(a)',repeat),
sys.stdout.flush()
print ' (secs for %s calls)' % (repeat)
if __name__ == "__main__":
run_module_suite()
|
