According to Assimp's documentation (see anim.h, line 269). The description of aiNodeAnim says the following:

The transformation matrix computed from these values replaces the node's original transformation matrix at a specific time. This means all keys are absolute and not relative to the bone default pose.

From my understanding, I believe the original transformation refers to aiNode's

This issue will be used to track common interface option handling. This is a constant time factor so it's not the biggest deal, but I feel that we can improve some applications by reducing common latency here.

Hello, it would be great if you could add some 3d text models. Thanks in advance :-)

It would be helpful to have some text on how contributions should be made.
This includes how to setup the development environment and how to run the tests.

I'm attempting to run the example posted on the GitHub page for diffeqpy. I've installed diffeqpy successfully on a Mac Pro (2019) running Mac OS X 10.15.4 (Catalina). I'm running the Anaconda distribution for Python ver. 3.7.6.

The code I'm running is the following:

#!/Users/user/opt/anaconda3/bin/python
from diffeqpy import de

def f(u,p,t):
    return -u

u0 = 0.5
tspan = (0.,

What I've noticed is that most (I didn't check all of them) PDE notebooks need to be rerun: all cells just display error messages.

E.g.:

http://benchmarks.juliadiffeq.org/html/MOLPDE/allen_cahn_spectral_wpd.html

http://benchmarks.juliadiffeq.org/html/MOLPDE/kdv_spectral_wpd.html

When following the monte carlo parameter estimation example (https://docs.juliadiffeq.org/stable/analysis/parameter_estimation/index.html) a deprecation message is received
parallel_type has been deprecated. Please refer to the docs for the new dispatch-based system.

When modifying the code to use the new dispatch system as the deprecation message suggests,

ensemble_prob = EnsembleProb

Public function in Solver class.
User may define a separator (comma for csv format or tab to copy/paste directly to Excel for example).