raise TypeError("Crinacle\"s Gras measurements are not supported yet!")
else:
// Read text file for IEM and Ears-711 headphone measurements
with open(fp, "r", encoding="utf-8") as fh:
s = fh.read()
freq = []
raw = []
for line in s.split("\n"):
if len(line) == 0 or line[0] == "*":
After Change
return file_paths
def process(self, item, file_paths, target_dir=None):
if target_dir is None:
raise TypeError(""target_dir" must be given")
avg_fr = FrequencyResponse(name=item.true_name)
avg_fr.raw = np.zeros(avg_fr.frequency.shape)
for fp in file_paths:
with open(fp, "r", encoding="utf-8") as fh:
s = fh.read()
freq = []
raw = []
for line in s.split("\n"):
if len(line) == 0 or line[0] == "*":
// Skip empty lines and comments
if "C-weighting compensation: On" in line:
print(f"C-weighted measurement: {item.false_name}")
continue
frp = line.split(", ")
if len(frp) == 1:
frp = line.split("\t")
if len(frp) == 1:
frp = line.split(" ")
if len(frp) == 2:
f, r = frp
elif len(frp) == 3:
f, r, p = frp
