Hello,

I recently experimented with mdapy and have thoroughly enjoyed the experience. I was able to install it successfully via pip. However, I encountered an issue related to the glibc version dependency when trying to run some computations. It seems that both taichi and mdapy require a newer version of glibc, whereas my OS offers an older version that I can't upgrade immediately. Could you advise on any potential solutions or workarounds?

In addition, I have a multi-frame trajectory and am interested in performing thermodynamic time averaging over a specific frame range. While I am aware ovito provides such a functionality, I couldn't find a similar feature in the mdapy documentation (perhaps I might have overlooked it).

Below, I've included my installation details, the test script I used, and the associated error message for reference:

Installation:
Installing collected packages: pygments, pyarrow, mdurl, dill, markdown-it-py, rich, taichi, mdapy
Successfully installed dill-0.3.7 markdown-it-py-3.0.0 mdapy-0.8.9 mdurl-0.1.2 pyarrow-13.0.0 pygments-2.16.1 rich-13.5.2 taichi-1.6.0

Test Script:
import mdapy as mp
import numpy as np
import taichi as ti
import time

ti.init(arch=ti.cpu)

print(mp.version)

start_time = time.time()
system = mp.System('./mydump-nve.lammpstrj')
print("Time taken:", time.time() - start_time, "seconds.")
print(system.data)

start_time = time.time()
system.build_neighbor(rc=5., max_neigh=60)
print("Time taken:", time.time() - start_time, "seconds.")

start_time = time.time()
system.cal_centro_symmetry_parameter(N=12)
print("Time taken:", time.time() - start_time, "seconds.")

start_time = time.time()
system.cal_atomic_entropy()
print("Time taken:", time.time() - start_time, "seconds.")

#start_time = time.time()
#system.cal_atomic_temperature(amass=np.array([58.933, 58.693, 55.847, 26.982, 63.546]))
#print("Time taken:", time.time() - start_time, "seconds.")

print(system.data['atomic_temp'].mean()) # K

csp

error = abs(system.data['c_1'] - system.data['csp'])
print(error[error > 0.1], error.max())

error = abs(system.data['c_2'] - system.data['atomic_entropy'])
print(error[error > 0.1], error.max())

start_time = time.time()
system.write_dump()
print("Time taken:", time.time() - start_time, "seconds.")

Error: python test.py
[Taichi] version 1.6.0, llvm 16.0.0git, commit f1c6fbbd, linux, python 3.10.8
Traceback (most recent call last):
File "/data1/xitan/works/Interface_temp/EmimBF4/lmp/CPM_nemd_right/1.0V/case1/test.py", line 1, in
import mdapy as mp
File "/home/xitan/anaconda3/envs/xitan_conda/lib/python3.10/site-packages/mdapy/init.py", line 14, in
from .create_polycrystalline import CreatePolycrystalline
File "/home/xitan/anaconda3/envs/xitan_conda/lib/python3.10/site-packages/mdapy/create_polycrystalline.py", line 17, in
import _voronoi_analysis
ImportError: /lib64/libm.so.6: version `GLIBC_2.29' not found (required by /home/xitan/anaconda3/envs/xitan_conda/lib/python3.10/site-packages/_voronoi_analysis.cpython-310-x86_64-linux-gnu.so)