Расчёт абсолютных погрешностей вычислений темератур

Error_folder/get_average.py

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+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)