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Description
This segfaults:
from diffeqpy import de
from sympy import Symbol
# Exponential decay
def f(u, p, t):
return [-u[0] * p]
u0 = Symbol('u0') # or 1.0
p = Symbol('p') # or 1.0
t = (0.0, 1.0)
problem = de.ODEProblem(f, [u0], t, p)
solution = de.solve(problem)
Changing p
and u0
to floats instead of symbolic variables fixes the problem:
u0 = 1.0 |
u0 = Symbol('u0') |
|
---|---|---|
p = 1.0 |
Correct answer | Segfault |
p = Symbol('p') |
Error | Segfault |
Versions
Python 3.11.6 (main, Oct 2 2023, 20:46:14) [Clang 14.0.3 (clang-1403.0.22.14.1)] on darwin
diffeqpy 2.2.0
sympy 1.12
DifferentialEquations 7.11.0
Julia Version 1.9.3
Platform Info:
OS: macOS (arm64-apple-darwin22.4.0)
CPU: 8 × Apple M2
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, apple-m1)
Threads: 1 on 4 virtual cores
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