_jitcdde.py 文件源码

python
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项目:jitcdde 作者: neurophysik 项目源码 文件源码
def tangent_vector_f(f, helpers, n, n_lyap, delays, zero_padding=0, simplify=True):
    if f:
        def f_lyap():
            yield from f()

            for i in range(n_lyap):
                jacs = [_jac(f, helpers, delay, n) for delay in delays]

                for _ in range(n):
                    expression = 0
                    for delay,jac in zip(delays,jacs):
                        for k,entry in enumerate(next(jac)):
                            expression += entry * y(k+(i+1)*n,t-delay)

                    if simplify:
                        expression = expression.simplify(ratio=1.0)
                    yield expression

            for _ in range(zero_padding):
                yield symengine.sympify(0)

    else:
        return []

    return f_lyap
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