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import os
import time
from numpy import *
from numpy.testing import *
set_package_path()
from weave import blitz_tools
from weave.ast_tools import harvest_variables
restore_path()
set_local_path()
from weave_test_utils import *
restore_path()
class test_ast_to_blitz_expr(NumpyTestCase):
def generic_test(self,expr,desired):
import parser
ast = parser.suite(expr)
ast_list = ast.tolist()
actual = blitz_tools.ast_to_blitz_expr(ast_list)
actual = remove_whitespace(actual)
desired = remove_whitespace(desired)
print_assert_equal(expr,actual,desired)
def check_simple_expr(self):
"""convert simple expr to blitz
a[:1:2] = b[:1+i+2:]
"""
expr = "a[:1:2] = b[:1+i+2:]"
desired = "a(blitz::Range(_beg,1-1,2))="\
"b(blitz::Range(_beg,1+i+2-1));"
self.generic_test(expr,desired)
def check_fdtd_expr(self):
""" convert fdtd equation to blitz.
ex[:,1:,1:] = ca_x[:,1:,1:] * ex[:,1:,1:]
+ cb_y_x[:,1:,1:] * (hz[:,1:,1:] - hz[:,:-1,:])
- cb_z_x[:,1:,1:] * (hy[:,1:,1:] - hy[:,1:,:-1]);
Note: This really should have "\" at the end of each line
to indicate continuation.
"""
expr = "ex[:,1:,1:] = ca_x[:,1:,1:] * ex[:,1:,1:]" \
"+ cb_y_x[:,1:,1:] * (hz[:,1:,1:] - hz[:,:-1,:])"\
"- cb_z_x[:,1:,1:] * (hy[:,1:,1:] - hy[:,1:,:-1])"
desired = 'ex(_all,blitz::Range(1,_end),blitz::Range(1,_end))='\
' ca_x(_all,blitz::Range(1,_end),blitz::Range(1,_end))'\
' *ex(_all,blitz::Range(1,_end),blitz::Range(1,_end))'\
'+cb_y_x(_all,blitz::Range(1,_end),blitz::Range(1,_end))'\
'*(hz(_all,blitz::Range(1,_end),blitz::Range(1,_end))'\
' -hz(_all,blitz::Range(_beg,Nhz(1)-1-1),_all))'\
' -cb_z_x(_all,blitz::Range(1,_end),blitz::Range(1,_end))'\
'*(hy(_all,blitz::Range(1,_end),blitz::Range(1,_end))'\
'-hy(_all,blitz::Range(1,_end),blitz::Range(_beg,Nhy(2)-1-1)));'
self.generic_test(expr,desired)
class test_blitz(NumpyTestCase):
"""* These are long running tests...
I'd like to benchmark these things somehow.
*"""
def generic_test(self,expr,arg_dict,type,size,mod_location):
clean_result = array(arg_dict['result'],copy=1)
t1 = time.time()
exec expr in globals(),arg_dict
t2 = time.time()
standard = t2 - t1
desired = arg_dict['result']
arg_dict['result'] = clean_result
t1 = time.time()
old_env = os.environ.get('PYTHONCOMPILED','')
os.environ['PYTHONCOMPILED'] = mod_location
blitz_tools.blitz(expr,arg_dict,{},verbose=0) #,
#extra_compile_args = ['-O3','-malign-double','-funroll-loops'])
os.environ['PYTHONCOMPILED'] = old_env
t2 = time.time()
compiled = t2 - t1
actual = arg_dict['result']
# this really should give more info...
try:
# this isn't very stringent. Need to tighten this up and
# learn where failures are occuring.
assert(allclose(abs(actual.ravel()),abs(desired.ravel()),1e-4,1e-6))
except:
diff = actual-desired
print diff[:4,:4]
print diff[:4,-4:]
print diff[-4:,:4]
print diff[-4:,-4:]
print sum(abs(diff.ravel()),axis=0)
raise AssertionError
return standard,compiled
def generic_2d(self,expr,typ):
""" The complex testing is pretty lame...
"""
mod_location = empty_temp_dir()
import parser
ast = parser.suite(expr)
arg_list = harvest_variables(ast.tolist())
#print arg_list
all_sizes = [(10,10), (50,50), (100,100), (500,500), (1000,1000)]
print '\nExpression:', expr
for size in all_sizes:
result = zeros(size,typ)
arg_dict = {}
for arg in arg_list:
arg_dict[arg] = random.normal(0,1,size).astype(typ)
# set imag part of complex values to non-zero value
try: arg_dict[arg].imag = arg_dict[arg].real
except: pass
print 'Run:', size,typ
standard,compiled = self.generic_test(expr,arg_dict,type,size,
mod_location)
try:
speed_up = standard/compiled
except:
speed_up = -1.
print "1st run(numpy.numerix,compiled,speed up): %3.4f, %3.4f, " \
"%3.4f" % (standard,compiled,speed_up)
standard,compiled = self.generic_test(expr,arg_dict,type,size,
mod_location)
try:
speed_up = standard/compiled
except:
speed_up = -1.
print "2nd run(numpy.numerix,compiled,speed up): %3.4f, %3.4f, " \
"%3.4f" % (standard,compiled,speed_up)
cleanup_temp_dir(mod_location)
#def check_simple_2d(self):
# """ result = a + b"""
# expr = "result = a + b"
# self.generic_2d(expr)
def check_5point_avg_2d_float(self,level=10):
""" result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]
+ b[1:-1,2:] + b[1:-1,:-2]) / 5.
"""
expr = "result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]" \
"+ b[1:-1,2:] + b[1:-1,:-2]) / 5."
self.generic_2d(expr,float32)
def check_5point_avg_2d_double(self,level=10):
""" result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]
+ b[1:-1,2:] + b[1:-1,:-2]) / 5.
"""
expr = "result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]" \
"+ b[1:-1,2:] + b[1:-1,:-2]) / 5."
self.generic_2d(expr,float64)
def _check_5point_avg_2d_complex_float(self,level=10):
""" Note: THIS TEST is KNOWN TO FAIL ON GCC 3.x. It will not adversely affect 99.99 percent of weave
result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]
+ b[1:-1,2:] + b[1:-1,:-2]) / 5.
Note: THIS TEST is KNOWN TO FAIL ON GCC 3.x. The reason is that
5. is a double and b is a complex32. blitz doesn't know
how to handle complex32/double. See:
http://www.oonumerics.org/MailArchives/blitz-support/msg00541.php
Unfortunately, the fix isn't trivial. Instead of fixing it, I
prefer to wait until we replace blitz++ with Pat Miller's code
that doesn't rely on blitz..
"""
expr = "result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]" \
"+ b[1:-1,2:] + b[1:-1,:-2]) / 5."
self.generic_2d(expr,complex64)
def check_5point_avg_2d_complex_double(self,level=10):
""" result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]
+ b[1:-1,2:] + b[1:-1,:-2]) / 5.
"""
expr = "result[1:-1,1:-1] = (b[1:-1,1:-1] + b[2:,1:-1] + b[:-2,1:-1]" \
"+ b[1:-1,2:] + b[1:-1,:-2]) / 5."
self.generic_2d(expr,complex128)
if __name__ == "__main__":
NumpyTest().run()
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