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[PATCH 4/4] Add passing test for now --- shellz/main.py | 56 +++------------------------------------------- tests/test_unit.py | 2 ++ 2 files changed, 5 insertions(+), 53 deletions(-) create mode 100644 tests/test_unit.py diff --git a/shellz/main.py b/shellz/main.py index 602261c..2539cc7 100644 --- a/shellz/main.py +++ b/shellz/main.py @@ -1,8 +1,6 @@ import bpy - -import numpy as np -import PIL.Image from mathutils import Vector +import numpy as np bl_info = { "name": "Shellz", @@ -208,16 +206,12 @@ def normalize_object_size(blender_object): v.co -= vMin -class GeneratingCurve(object): - pass - def cot(alpha): return 1 / np.tan(alpha) -class Ellipse(GeneratingCurve): - +class Ellipse: def __init__(self, a=1, b=1, A=1, alpha=30, beta=30, omega=0, phi=0, mu=0, L=0, N=0, W_1=0, W_2=0, P=0): """ Initializes an elliptical generating curve with semi-axes a and b. @@ -291,7 +285,7 @@ def _nodules(self, s, theta): class Shell(object): - def __init__(self, helico_spiral, generating_curve): + def __init__(self, helico_spiral: "HelicoSpiral", generating_curve: Ellipse): """ Initialize a shell by specifying the generating curve and the helico spiral. @@ -340,47 +334,3 @@ def __call__(self, theta): h[2] = -np.cos(beta) * np.exp(theta * cot) return A * h - - -def generate_texture(rho, kappa, mu, rho_0, sigma, nu, D_a, D_s, N, M): - t_values, dt = np.linspace(0, 1, N, retstep=True) - x_values, dx = np.linspace(0, 1, M, retstep=True) - - s = np.zeros((N, M)) - a = np.zeros((N, M)) - - rho_array = np.random.normal(rho, scale=0.025, size=(N, M)) - s[0] = np.zeros(M) - a[0] = np.zeros(M) - - def rhs(a_prev, s_prev): - da_ddx = np.gradient(np.gradient(a_prev)) - ds_ddx = np.gradient(np.gradient(s_prev)) - - da_dt = rho * s_prev * (a_prev ** 2 / (1 + kappa * a_prev ** 2) + rho_0) - mu * a_prev + D_a * da_ddx - ds_dt = sigma - rho * s_prev * (a_prev ** 2 / (1 + kappa * a_prev ** 2) + rho_0) - nu * s_prev + D_s * ds_ddx - - return da_dt, ds_dt - - for i in range(0, N - 1): - rho = rho_array[i] - da_dt, ds_dt = rhs(a[i], s[i]) - - a[i + 1] = a[i] + dt * da_dt - s[i + 1] = s[i] + dt * ds_dt - - return a / np.max(a, axis=(0, 1)) - - -if __name__ == '__main__': - register() - - texture_map = generate_texture(rho=0.1, rho_0=0.005, mu=0.1, D_a=0.004, sigma=0.012, nu=0, D_s=0.0, kappa=1, - N=100, - M=100) - import matplotlib.pyplot as plt - - plt.imshow(texture_map) - map = np.uint8(texture_map * 255) - img = PIL.Image.fromarray(map) - img.save('test.png') diff --git a/tests/test_unit.py b/tests/test_unit.py new file mode 100644 index 0000000..b95aaad --- /dev/null +++ b/tests/test_unit.py @@ -0,0 +1,2 @@ +def test_true(): + assert True \ No newline at end of file