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from __future__ import absolute_import, print_function
import time
import parser
import warnings
from numpy import (float32, float64, complex64, complex128,
zeros, random, array)
from numpy.testing import (TestCase, assert_equal,
assert_allclose, run_module_suite)
from scipy.weave import blitz_tools, blitz, BlitzWarning
from scipy.weave.ast_tools import harvest_variables
from weave_test_utils import remove_whitespace, debug_print, TempdirBlitz, dec
class TestAstToBlitzExpr(TestCase):
def generic_check(self,expr,desired):
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)
assert_equal(actual,desired,expr)
def test_simple_expr(self):
# convert simple expr to blitz
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_check(expr,desired)
def test_fdtd_expr(self):
# Convert fdtd equation to blitz.
# 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_check(expr,desired)
class TestBlitz(TestCase):
"""These are long running tests...
Would be useful to benchmark these things somehow.
"""
def generic_check(self, expr, arg_dict, type, size):
clean_result = array(arg_dict['result'],copy=1)
t1 = time.time()
exec(expr, globals(),arg_dict)
t2 = time.time()
standard = t2 - t1
desired = arg_dict['result']
arg_dict['result'] = clean_result
t1 = time.time()
blitz_tools.blitz(expr,arg_dict,{},verbose=0)
t2 = time.time()
compiled = t2 - t1
actual = arg_dict['result']
# TODO: this isn't very stringent. Need to tighten this up and
# learn where failures are occurring.
assert_allclose(abs(actual.ravel()), abs(desired.ravel()),
rtol=1e-4, atol=1e-6)
return standard, compiled
def generic_2d(self,expr,typ):
# The complex testing is pretty lame...
ast = parser.suite(expr)
arg_list = harvest_variables(ast.tolist())
all_sizes = [(10,10), (50,50), (100,100), (500,500), (1000,1000)]
debug_print('\nExpression:', expr)
with TempdirBlitz():
for size in all_sizes:
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
debug_print('Run:', size,typ)
standard,compiled = self.generic_check(expr,arg_dict,type,size)
try:
speed_up = standard/compiled
except:
speed_up = -1.
debug_print("1st run(numpy,compiled,speed up): %3.4f, %3.4f, "
"%3.4f" % (standard,compiled,speed_up))
standard,compiled = self.generic_check(expr,arg_dict,type,size)
try:
speed_up = standard/compiled
except:
speed_up = -1.
debug_print("2nd run(numpy,compiled,speed up): %3.4f, %3.4f, "
"%3.4f" % (standard,compiled,speed_up))
@dec.slow
def test_5point_avg_2d_float(self):
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)
@dec.slow
def test_5point_avg_2d_double(self):
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=BlitzWarning)
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)
@dec.slow
def _check_5point_avg_2d_complex_float(self):
""" 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)
@dec.slow
def test_5point_avg_2d_complex_double(self):
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)
@dec.slow
def test_blitz_bug():
# Assignment to arr[i:] used to fail inside blitz expressions.
with TempdirBlitz():
N = 4
expr_buggy = 'arr_blitz_buggy[{0}:] = arr[{0}:]'
expr_not_buggy = 'arr_blitz_not_buggy[{0}:{1}] = arr[{0}:]'
random.seed(7)
arr = random.randn(N)
sh = arr.shape[0]
for lim in [0, 1, 2]:
arr_blitz_buggy = zeros(N)
arr_blitz_not_buggy = zeros(N)
arr_np = zeros(N)
blitz(expr_buggy.format(lim))
blitz(expr_not_buggy.format(lim, 'sh'))
arr_np[lim:] = arr[lim:]
assert_allclose(arr_blitz_buggy, arr_np)
assert_allclose(arr_blitz_not_buggy, arr_np)
if __name__ == "__main__":
run_module_suite()
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