changes

test/model.py

@@ -40,6 +40,6 @@ while(t<tf):
     plt.scatter(xx, y, c=color)
     plt.draw()
     # plt.savefig(str(t)+'.png')
-    plt.pause(0.1)    
+    plt.pause(0.2)    
     t += dt
     xxold = xx.copy()

test/phi(ww).py

@@ -14,6 +14,6 @@ plt.figure(figsize=[16,9])
 plt.xlabel('distance w  en m')
 plt.ylabel('vitesse en m.s-¹')
 plt.plot(ww, phi(ww))
-plt.savefig('test/phi(www).png')
+plt.savefig('test/phi(ww).png')
 plt.draw()  
 plt.pause(10)

test/status.py

@@ -1,65 +0,0 @@
-from colour import Color
-import matplotlib.pyplot as plt
-
-def rainbow_gradient(distances):
-    num_colors = len(distances)
-    colors = []
-    base_color = Color("green")
-    target_color = Color("red")
-    
-    luminance_start = base_color.get_luminance()
-    luminance_end = target_color.get_luminance()
-    
-    for i in range(num_colors):
-        moydist = distances[i]
-        t = i / (num_colors - 1)  # Interpolation paramètre t
-        
-        adjusted_luminance = luminance_start + (luminance_end - luminance_start) * (1 - t) * (moydist - 1) / 18
-        color = Color(rgb=(base_color.rgb[0] * (1 - t) + target_color.rgb[0] * t,
-                           base_color.rgb[1] * (1 - t) + target_color.rgb[1] * t,
-                           base_color.rgb[2] * (1 - t) + target_color.rgb[2] * t))
-        color.set_luminance(adjusted_luminance)
-        
-        hex_code = color.hex_l
-        colors.append(hex_code)
-    
-    return colors
-
-distances = [0.05263158, 0.05263158, 0.05263158, 0.05263158, 0.05263158,
-             0.05263158, 0.05263158, 0.05263158, 0.05263158, 0.05263158,
-             0.05263158, 0.05263158, 0.05263158, 0.05263158, 0.05263158,
-             0.05263158, 0.05263158, 0.05263158, 19.0]
-
-gradient = rainbow_gradient(distances)
-
-# Create a figure and axis
-fig, ax = plt.subplots()
-
-# Set the background color of the plot
-fig.set_facecolor('white')
-
-# Hide the axis labels
-ax.set_axis_off()
-
-# Calculate the width and height of each color patch
-width = 1.0 / len(gradient)
-height = 1.0
-
-# Iterate through the colors and plot a rectangle for each
-for i, color in enumerate(gradient):
-    # Calculate the x-coordinate of the color patch
-    x = i * width
-    
-    # Plot the color patch
-    rect = plt.Rectangle((x, 0), width, height, facecolor=color)
-    ax.add_patch(rect)
-
-# Set the aspect ratio to 'auto' to ensure the patches are square
-ax.set_aspect('auto')
-
-# Set the limits of the x-axis
-ax.set_xlim(0, 1)
-
-# Display the plot
-plt.show()
-