A close up of a camera lens with a circular design
![import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# 参数设置
n = 1
pi = np.pi
# 时空坐标计算
def spacetime_coordinates(t):
r = n / pi * t
x = r * np.cos(t) * np.cos(t)
y = r * np.sin(t) * np.cos(t)
z = r * np.sin(t)
w = r
return x, y, z, w
# 量子场与概率
def quantum_field(t, m):
u_n_minus_1 = 0
# 假设u_n-1为0，可根据实际情况修改
u = u_n_minus_1 + np.sin(t + m)
return u
# 概率分布
def probability_distribution():
m_values = [0, 1 / 2 * pi, pi, 3 / 2 * pi]
probabilities = [0.125, 0.125, 0.125, 0.125, 0.5]
m = np.random.choice(m_values + [0], p=probabilities)
return m
# 计算时空坐标和量子场值
t_values = np.linspace(0, 2 * pi, 100)
coordinates = [spacetime_coordinates(t) for t in t_values]
quantum_fields = [quantum_field(t, probability_distribution()) for t in t_values]
# 绘制3D曲面 def plot_3d_surface(w_value):
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x_values = []
y_values = []
z_values = []
u_values = []
for coord, field in zip(coordinates, quantum_fields):
x, y, z, w = coord
if w == w_value:
x_values.append(x)
y_values.append(y)
z_values.append(z)
u_values.append(field)
ax.scatter(x_values, y_values, z_values, c=u_values, cmap='viridis')
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
ax.set_title(f'3D Surface for w = {w_value}')
plt.show()
plot_3d_surface(1)
plot_3d_surface(100)
input("Press any key to exit") --auto](https://image.cdn2.seaart.me/2023-07-05/41638556045381/92f2778af8fa86d785790e87ec21a9652e8f52e6_high.webp)
ข้อมูลการสร้างสรรค์
คำพรอมต์
import numpy as np
import matplotlib
.
pyplot as plt
from mpl_toolkits
.
mplot3d import Axes3D
# 参数设置
n = 1
pi = np
.
pi
# 时空坐标计算
def spacetime_coordinates(t):
r = n / pi * t
x = r * np
.
cos(t) * np
.
cos(t)
y = r * np
.
sin(t) * np
.
cos(t)
z = r * np
.
sin(t)
w = r
return x
,
y
,
z
,
w
# 量子场与概率
def quantum_field(t
,
m):
u_n_minus_1 = 0
# 假设u_n-1为0
，
可根据实际情况修改
u = u_n_minus_1 + np
.
sin(t + m)
return u
# 概率分布
def probability_distribution():
m_values = [0
,
1 / 2 * pi
,
pi
,
3 / 2 * pi]
probabilities = [0
.
125
,
0
.
125
,
0
.
125
,
0
.
125
,
0
.
5]
m = np
.
random
.
choice(m_values + [0]
,
p=probabilities)
return m
# 计算时空坐标和量子场值
t_values = np
.
linspace(0
,
2 * pi
,
100)
coordinates = [spacetime_coordinates(t) for t in t_values]
quantum_fields = [quantum_field(t
,
probability_distribution()) for t in t_values]
# 绘制3D曲面 def plot_3d_surface(w_value):
fig = plt
.
figure()
ax = fig
.
add_subplot(111
,
projection='3d')
x_values = []
y_values = []
z_values = []
u_values = []
for coord
,
field in zip(coordinates
,
quantum_fields):
x
,
y
,
z
,
w = coord
if w == w_value:
x_values
.
append(x)
y_values
.
append(y)
z_values
.
append(z)
u_values
.
append(field)
ax
.
scatter(x_values
,
y_values
,
z_values
,
c=u_values
,
cmap='viridis')
ax
.
set_xlabel('X')
ax
.
set_ylabel('Y')
ax
.
set_zlabel('Z')
ax
.
set_title(f'3D Surface for w = {w_value}')
plt
.
show()
plot_3d_surface(1)
plot_3d_surface(100)
input("Press any key to exit") --auto
Checkpoint & LoRA
Checkpoint
ReV Animated
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