(x, y, pts)
| 65 | |
| 66 | # Define a nice function of distance from individual pts |
| 67 | def f(x, y, pts): |
| 68 | z = np.zeros_like(x) |
| 69 | for p in pts: |
| 70 | z = z + 1/(np.sqrt((x - p[0])**2 + (y - p[1])**2)) |
| 71 | return 1/z |
| 72 | |
| 73 | |
| 74 | X, Y = np.meshgrid(np.linspace(-1, 1, 51), np.linspace(-1, 1, 51)) |
no test coverage detected