succeeded = 0
for size, file in files:
if file.endswith('.scm'):
base, ext = os.path.splitext(file)
path = os.path.join('tests', file)
print 'compiling', path
fail = file.startswith('f')
c = context.context()
c.verbose = False
c.typetype = True
if base in optimize:
c.optimize = True
try:
compile.compile_file(open(path, 'rb'), path, c)
except:
if not fail:
#raise
failed.append((base, "compile failed"))
else:
succeeded += 1
else:
if fail:
failed.append((base, 'compile did not fail like expected'))
#raise ValueError ("oops - expected compilation to fail")
if base not in special:
out = run_test(base)
exp_path = PJ('tests', base + '.exp')
if os.path.isfile(exp_path):
exp = open(exp_path).read()
succeeded = 0
for size, file in files:
if file.endswith ('.scm'):
base, ext = os.path.splitext (file)
path = os.path.join ('tests', file)
print 'compiling', path
fail = file.startswith ('f')
c = context.context()
c.verbose = False
c.typetype = True
if base in optimize:
c.optimize = True
try:
compile.compile_file (open (path, 'rb'), path, c)
except:
if not fail:
#raise
failed.append ((base, "compile failed"))
else:
succeeded += 1
else:
if fail:
failed.append ((base, 'compile did not fail like expected'))
#raise ValueError ("oops - expected compilation to fail")
if base not in special:
out = run_test (base)
exp_path = PJ ('tests', base + '.exp')
if os.path.isfile (exp_path):
exp = open (exp_path).read()
data_l = []
for i in range(8,24+1):
size = 2**i
iters = (2**28)//size
if iters > 0:
out_info = subprocess.check_output(arg_l+[str(size),str(iters)])
value = float(out_info.decode(encoding='UTF-8').strip())
else:
value = 1.0
data_l.append(value)
return data_l
def data_to_str(data):
return ','.join([str(d) for d in data])
compile_file("up_locs.cpp")
compile_file("asm_up_locs.cpp")
compile_file("vecasm_up_locs.cpp")
data = [
file_data(["python3","update_locations.py"])
file_data(["./up_locs"]),
file_data(["./asm_up_locs"]),
file_data(["./vecasm_up_locs"]),
file_data(["python3","npup_locs.py"])
]
for n in range(len(data)):
gname = "graphdata"+str(n) + ".csv"
with open(gname,"wb") as gfile:
for i in range(n+1):
gfile.write((data_to_str(data[i])+"\n").encode(encoding='UTF-8'))
