t0 definition leads to unexpected behaviour with trajectory()

[Patrick Leibersperger]

Evolving a dynamical system with trajectory() and defining a t0 other than 0 the length of the time series stays the same, which is the length of the time series from 0 to T with dt.
However, I would expect the length to change, e.g. with t0=T/2 the resulting time series should be half as long if dt stays the same.
I couldn't find anything on this, and at what timepoints the series is actually saved.

Minimal Working Example

using DynamicalSystems

T = 100
p = [10.0, 28.0, 8 / 3]
u0 = [0.5, 0.5, 0.5]

function lorenz_rule!(du, u, p, t)
    σ, ρ, β = p
    du[1] = σ * (u[2] - u[1])
    du[2] = u[1] * (ρ - u[3]) - u[2]
    du[3] = u[1] * u[2] - β * u[3]
end

ds = ContinuousDynamicalSystem(lorenz_rule!,u0, p, t0=0.0)
ds2 = ContinuousDynamicalSystem(lorenz_rule!, u0, p, t0=50.0)

ts = trajectory(ds, T, Δt=0.01)
ts2 = trajectory(ds2, T, Δt=0.01)

size(ts,1) == size(ts2,1)
>>>true

Package versions

ChaosTools v2.9.0
DelayEmbeddings v2.4.1
DynamicalSystems v2.3.1
DynamicalSystemsBase v2.8.0
Entropies v1.1.2
RecurrenceAnalysis v1.8.1

[Patrick Leibersperger]

Just now realized T is not the final time, but the time for which the system is evolved, soryr

[George Datseris]

no worries!