working example
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Didictateur
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2 changed files with 153 additions and 10 deletions
52
example.py
52
example.py
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@ -1,21 +1,59 @@
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import legrandchien as lgc
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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if __name__ == "__main__":
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g = lgc.Const(-10)
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g = lgc.Const(10)
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m = lgc.Const(1)
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x = lgc.Var("x")
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y = lgc.Var("y")
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T = 0.5 * m * x.diff() * x.diff()
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V = m * g * x
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T = 0.5 * m * (x.diff() * x.diff() + y.diff() * y.diff())
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V = m * g * y
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L = T - V
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dL = L.diff()
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dico = {
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"x" : 0,
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"d_x" : 1,
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"d_d_x" : 1,
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"y" : 0,
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"d_y" : 1
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}
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print(dL.evaluate(dico))
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values = L.solve(dico, 10, 0.1)
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# Extraire les données pour x et y
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times = sorted(values.keys())
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positions_x = [values[t]["x"] for t in times]
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positions_y = [values[t]["y"] for t in times]
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# Créer la figure
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fig, ax = plt.subplots(figsize=(8, 8))
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ax.set_xlim(min(positions_x) - 5, max(positions_x) + 5)
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ax.set_ylim(min(positions_y) - 5, max(positions_y) + 5)
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ax.set_xlabel("X (m)")
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ax.set_ylabel("Y (m)")
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ax.grid(True)
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# Point animé
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point, = ax.plot([], [], 'ro', markersize=15, label="Particule")
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# Trajectoire
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line, = ax.plot([], [], 'b-', alpha=0.3, linewidth=2, label="Trajectoire")
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# Texte temps
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time_text = ax.text(0.02, 0.95, '', transform=ax.transAxes, fontsize=12)
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ax.legend()
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def animate(frame):
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# Point courant
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point.set_data([positions_x[frame]], [positions_y[frame]])
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# Trajectoire jusqu'au point courant
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line.set_data(positions_x[:frame + 1], positions_y[:frame + 1])
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# Texte
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time_text.set_text(f"t = {times[frame]:.2f}s\nx = {positions_x[frame]:.2f}m, y = {positions_y[frame]:.2f}m")
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return point, line, time_text
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ani = animation.FuncAnimation(fig, animate, frames=len(times),
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interval=50, blit=True, repeat=True)
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plt.show()
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111
legrandchien.py
111
legrandchien.py
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@ -186,10 +186,20 @@ class Var:
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return Var(self.name, self.degree)
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def diff(self, n=1):
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return Var("d_"+self.name, self.degree+n)
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return Var("d_"*n+self.name, self.degree+n)
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def evaluate(self, dico):
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return dico[self.name]
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def __eq__(self, other):
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if isinstance(other, str):
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return False
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if not (self.type == "Var" and other.type == "Var"):
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return False
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return self.name == other.name and self.degree == other.degree
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def __hash__(self):
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return hash((self.name, self.degree))
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def __add__(self, other):
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if other.type == "Const":
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@ -350,9 +360,9 @@ class Equation:
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def copy(self):
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if self.op == Operation.CONST:
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return Const(self.value.value)
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return Equation(Operation.CONST, None, None, Const(self.value.value))
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if self.op == Operation.VAR:
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return Var(self.value.name, self.value.degree)
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return Equation(Operation.VAR, None, None, Var(self.value.name, self.value.degree))
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return Equation(self.op, self.left.copy(), self.right.copy(), None)
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def diff(self):
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@ -402,6 +412,101 @@ class Equation:
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if self.op == Operation.DIV:
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return self.left.evaluate(dico) / self.right.evaluate(dico)
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def solve(self, dico, tmax=10, dt=0.01):
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variables = self.getAllVar()
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equations = []
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print([v.name for v in variables])
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for var in variables:
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equations.append(self.partial(var.diff().name).diff() - self.partial(var.name))
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unknown = self.getUnknown(dico)
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for eq in equations:
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unknown = unknown.union(eq.getUnknown(dico))
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t = 0
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values = {t : {var.name : dico[var.name] for var in variables}}
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for var in unknown:
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dico[var.name] = 0.
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assert(len(unknown) == len(equations))
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n = len(unknown)
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variables = list(variables)
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unknown = list(unknown)
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equations = list(equations)
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while t <= tmax:
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err = 1
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while err > 10**-6:
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# jacobian
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J = np.zeros((n, n))
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F = np.zeros(n)
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for i in range(n):
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F[i] = equations[i].evaluate(dico)
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for j in range(n):
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# print(equations[0])
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J[i][j] = equations[i].partial(unknown[j].name).evaluate(dico)
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# print(J, F)
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err = np.linalg.norm(F)
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dX = -np.linalg.inv(J).dot(F)
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for i in range(n):
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dico[unknown[i].name] += dX[i]
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values[t] = {var.name : dico[var.name] for var in variables}
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t += dt
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# update all values
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for i in range(n):
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var = unknown[i]
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d = var.degree
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name = var.name
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while d > 0:
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ivar_name = name[2:]
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dico[ivar_name] += dt * dico[name]
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d -= 1
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name = ivar_name
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return values
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def getAllVar(self):
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if self.op == Operation.CONST:
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return set()
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if self.op == Operation.VAR:
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if self.value.degree == 0:
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return {self.value.copy()}
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else:
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return {Var(self.value.name[2*self.value.degree:], 0)}
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return self.left.getAllVar().union(self.right.getAllVar())
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def getUnknown(self, dico):
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if self.op == Operation.CONST:
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return set()
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if self.op == Operation.VAR:
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if self.value.name not in dico:
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return {self.value}
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return set()
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return self.left.getUnknown(dico).union(self.right.getUnknown(dico))
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def __str__(self):
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if self.op == Operation.CONST:
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return str(self.value.value)
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if self.op == Operation.VAR:
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return self.value.name
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if self.op == Operation.ADD:
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return f"{str(self.left)} + {str(self.right)}"
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if self.op == Operation.SUB:
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return f"{str(self.left)} - {str(self.right)}"
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if self.op == Operation.MULT:
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return f"({str(self.left)})*({str(self.right)})"
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if self.op == Operation.DIV:
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return f"({str(self.left)})/({str(self.right)})"
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def __add__(self, other):
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if other.type == "Const":
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