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MemMAPR-MKR/Error_folder/get_average.py

60 lines
2.2 KiB
Python

import math
def read_points(filename):
points = []
with open(filename, 'r') as f:
for line in f:
parts = line.strip().split()
if len(parts) == 4:
try:
x = float(parts[1])
y = float(parts[2])
temp = float(parts[3])
points.append((x, y, temp))
except ValueError:
print(f"Warning: Skipping invalid line in {filename}: {line.strip()}")
return points
def euclidean_distance(p1, p2):
return math.sqrt((p2[0] - p1[0])**2 + (p2[1] - p1[1])**2)
def find_closest_points(myprog_points, ansys_points):
differences = []
for myprog_point in myprog_points:
myprog_x, myprog_y, myprog_temp = myprog_point
min_distance = float('inf')
temp_diff = None
closest_point = None
# Find closest point in ansys.txt
for ansys_point in ansys_points:
ansys_x, ansys_y, ansys_temp = ansys_point
distance = euclidean_distance((myprog_x, myprog_y), (ansys_x, ansys_y))
if distance < min_distance:
min_distance = distance
temp_diff = abs(myprog_temp - ansys_temp)
closest_point = ansys_point
if temp_diff is not None:
differences.append(temp_diff)
print(f"Myprog point ({myprog_x}, {myprog_y}, {myprog_temp}) -> Closest Ansys point ({closest_point[0]}, {closest_point[1]}, {closest_point[2]}) -> Temp diff: {temp_diff}")
return differences
def process_files(myprog_file, ansys_file):
myprog_points = read_points(myprog_file)
ansys_points = read_points(ansys_file)
if not myprog_points or not ansys_points:
print("Error: One or both files are empty or contain no valid data.")
return
differences = find_closest_points(myprog_points, ansys_points)
if differences:
avg_difference = sum(differences) / len(differences)
print(f"\nAverage temperature difference: {avg_difference}")
else:
print("No valid matches found between the files.")
myprog_file = "myprog.txt"
ansys_file = "ansys.txt"
process_files(myprog_file, ansys_file)