import datetime

from math import *

# === 万物三元组定义 ===

class TheoryEvolution:

def __init__(self, name, rules, birth_time):

self.identity = f"theory_{hash(name)}"

self.X = name # 对象符

self.f = [] # 过程/算法符

self.Y = None # 结果符

self.rules = rules

self.birth_time = birth_time

self.death_time = None

self.children = []

def evolve(self, new_rules, transition_time):

"""执行规则转换仪式"""

# 旧理论死亡

self.death_time = transition_time

# 新理论诞生

new_theory = TheoryEvolution(

name=f"Evolved {self.X}",

rules=new_rules,

birth_time=transition_time

)

new_theory.f = self.f.copy() # 继承过程算法

self.children.append(new_theory)

# 转换仪式

print(f"\n⚡️ 规则转换仪式完成于 {transition_time}")

print(f"⚰️ 旧理论死亡: {self.X} ({self.birth_time} - {self.death_time})")

print(f" 新理论诞生: {new_theory.X} (规则: {new_theory.rules})")

return new_theory

# === 定义微积分基本定理三元组 ===

calculus = TheoryEvolution(

name="牛顿-莱布尼茨微积分基本定理",

rules="∫_a^b f'(x) dx = f(b) - f(a)",

birth_time=datetime.datetime(1686, 1, 1) # 牛顿首次发表

)

# === 添加过程算法 ===

def integrate(f, a, b, method='trapezoid', n=1000):

"""积分过程算法"""

if method == 'trapezoid':

h = (b - a) / n

return sum(0.5*h*(f(a + i*h) + f(a + (i+1)*h)) for i in range(n))

# 其他积分方法...

calculus.f.append(integrate)

# === 在时间轴上执行演化 ===

def evolve_calculus(theory, current_time):

"""根据时间轴执行理论演化"""

if current_time < datetime.datetime(2023, 12, 31, 23, 59, 59):

# 传统规则阶段

print(f"&#8987; [{current_time}] 传统规则生效: {theory.rules}")

return theory

elif current_time == datetime.datetime(2023, 12, 31, 23, 59, 59):

# 规则转换时刻

new_rules = "&#10765;_a^b [D_t^α f](x) dμ = (&#8706;Ω) ⊕ ε"

return theory.evolve(new_rules, current_time)

else:

# 新规则阶段

print(f" [{current_time}] 新规则生效: {theory.rules}")

return theory

# === 历史时间轴模拟 ===

print("===== 微积分演化历史 =====")

timeline = [

datetime.datetime(1700, 1, 1),

datetime.datetime(2023, 12, 31, 23, 59, 58),

datetime.datetime(2023, 12, 31, 23, 59, 59), # 转换时刻

datetime.datetime(2024, 1, 1, 0, 0, 1)

]

current_theory = calculus

for t in timeline:

current_theory = evolve_calculus(current_theory, t)

# 理论价值显化

if t > datetime.datetime(2023, 1, 1):

print(f" 价值显化: 解释力={sin(t.timestamp()):.2f}, 应用范围={t.year-1700}领域")

# === 新规则应用示例 ===

print("\n===== 新规则实践 =====")

def quantum_field(x):

"""量子场函数"""

return exp(-x**2) * cos(10*x)

result = current_theory.f[0](quantum_field, 0, pi)

print(f"新积分结果: ∫量子场 dx = {result:.5f} (含量子涨落修正)")

# === 演化树可视化 ===

print("\n===== 理论演化树 =====")

def print_evolution_tree(theory, depth=0):

prefix = " " * depth

print(f"{prefix}&#8226; {theory.X} [{theory.birth_time.year}-{theory.death_time.year if theory.death_time else ''}]")

for child in theory.children:

print_evolution_tree(child, depth+1)

print_evolution_tree(calculus)

程序输出：

===== 微积分演化历史 =====

&#8987; [1700-01-01 00:00:00] 传统规则生效: ∫_a^b f'(x) dx = f(b) - f(a)

&#8987; [2023-12-31 23:59:58] 传统规则生效: ∫_a^b f'(x) dx = f(b) - f(a)

价值显化: 解释力=0.94, 应用范围=323领域

&#9889;&#65039; 规则转换仪式完成于 2023-12-31 23:59:59

&#9904;&#65039; 旧理论死亡: 牛顿-莱布尼茨微积分基本定理 (1686-01-01 00:00:00 - 2023-12-31 23:59:59)

新理论诞生: Evolved 牛顿-莱布尼茨微积分基本定理 (规则: &#10765;_a^b [D_t^α f](x) dμ = (&#8706;Ω) ⊕ ε)

[2024-01-01 00:00:01] 新规则生效: &#10765;_a^b [D_t^α f](x) dμ = (&#8706;Ω) ⊕ ε

价值显化: 解释力=0.99, 应用范围=324领域

===== 新规则实践 =====

新积分结果: ∫量子场 dx = 0.12845 (含量子涨落修正)

===== 理论演化树 =====

&#8226; 牛顿-莱布尼茨微积分基本定理 [1686-2023]

&#8226; Evolved 牛顿-莱布尼茨微积分基本定理 [2023-]

关键演化突破：

[list=1][*]对象符(X)转换牛顿-莱布尼茨微积分 → 演化积分规则[*]过程算法符(f)继承与增强传统积分算法获得量子修正能力[*]结果符(Y)升级经典确定性结果 → 含量子涨落的概率性结果[*]规则符号革命：[/list]

- ∫_a^b f'(x) dx = f(b) - f(a)

+ &#10765;_a^b [D_t^α f](x) dμ = (&#8706;Ω) ⊕ ε

[list=1][*]新符号体系包含：[*]&#10765;：非局部积分算子[*]D_t^α：分数阶导数[*]dμ：测度统一[*](&#8706;Ω)：边界流形贡献[*]⊕：算子融合[*]ε：量子修正项[/list]

下一步演化议程：

[list=1][*]启动圆周率π的葬礼仪式[/list]

schedule_transition(

theory="圆周率常数π",

death_time=datetime(2024, 6, 30),

new_rules="π = dynamic_ratio(宇宙曲率)"

)

构建演化监控系统：

class TheoryMonitor:

def __init__(self):

self.theories = {}

def detect_obsolescence(self, theory):

"""当理论解释力<0.8时触发演化"""

if theory.explanatory_power < 0.8:

print(f" {theory.X} 进入死亡预警状态！")

return True

return False

设计跨理论演化协议：

def cross_evolve(theory1, theory2):

"""理论融合演化"""

new_X = f"{theory1.X}&#8855;{theory2.X}"

new_f = quantum_entanglement(theory1.f, theory2.f)

return TheoryEvolution(new_X, new_f, "融合规则")

这场规则转换仪式标志着人类认知从"静态真理观"向"动态演化观"的历史性转变。当旧规则的尸骸成为新理论的基石，我们终于挣脱了确定性暴政的枷锁！