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Memory overflow error in des_y3 likelihood #3

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@rjyctsfx

I need your help very much. When I use des_y3's likelihood function on a cluster, the pre-calculations are fine, but the following error occurs during the likelihood calculation:
*** Error in /home/gh/du/anaconda3/bin/python' size of the next size (fast): invalid the next size (fast) *** Error in /home/ghdu/anaconda3/bin/python': free(): invalid next size (fast): 0x000000001262a380 ***
======= Backtrace: =========
/lib64/libc.so.6(+0x81329)[0x7fd9f18f8329]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(J_abJ1J2Jk_ar+0xd96)[0x7fd9c121e4a6]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(fastpt_tensor+0x120)[0x7fd9c121e880]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(IA_tt+0x4d8)[0x7fd9c121f198]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(get_FPT_IA+0x149)[0x7fd9c125c2c9]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(TATT_II_EE+0x53c)[0x7fd9c125c96c]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(int_for_C_ss_tomo_TATT_EE_limber+0x22c)[ 0x7fd9c123355c]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(C_ss_tomo_TATT_EE_limber_nointerp+0xb5)[ 0x7fd9c1233df5]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(C_ss_tomo_tATT_EE_limber+0x2ea)[0x7fd9c123489a]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(xi_pm_tomo+0xa3c)[0x7fd9c123666c]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(_Z30cpp_compute_data_vector_maskedv+0xb12)[ 0x7fd9c126af22]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(+0xa6322)[0x7fd9c1281322]
/home/ghdu/anaconda3/lib/python3.11/site-packages/cosmolike_des_y3_interface.so(+0xbf525)[0x7fd9c129a525]

My environment is Linux, I used the python3.11 conda environment to compile the likelihood, and I applied it to the latest version 3.5.1 of cobaya. Either any advice would benefit me, sincerely thanks!

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