import matplotlib
import numpy
import pandas
import pysr
import torch
import torchviz
import tqdmDetected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython
print(f"Matplotlib version: {matplotlib.__version__}")Matplotlib version: 3.10.8
numpy.show_config()Build Dependencies:
blas:
detection method: pkgconfig
found: true
include directory: /opt/intel/oneapi/mkl/latest/include
lib directory: /opt/intel/oneapi/mkl/latest/lib
name: mkl-dynamic-lp64-seq
openblas configuration: unknown
pc file directory: /opt/intel/oneapi/mkl/2025.0/lib/pkgconfig
version: 2025.0.1
lapack:
detection method: pkgconfig
found: true
include directory: /opt/intel/oneapi/mkl/latest/include
lib directory: /opt/intel/oneapi/mkl/latest/lib
name: mkl-dynamic-lp64-seq
openblas configuration: unknown
pc file directory: /opt/intel/oneapi/mkl/2025.0/lib/pkgconfig
version: 2025.0.1
Compilers:
c:
args: -march=x86-64, -mtune=generic, -O2, -pipe, -fno-plt, -fexceptions, -Wp,-D_FORTIFY_SOURCE=3,
-Wformat, -Werror=format-security, -fstack-clash-protection, -fcf-protection,
-fno-omit-frame-pointer, -mno-omit-leaf-frame-pointer, -flto=auto
commands: cc
linker: ld.bfd
linker args: -Wl,-O1, -Wl,--sort-common, -Wl,--as-needed, -Wl,-z,relro, -Wl,-z,now,
-Wl,-z,pack-relative-relocs, -flto=auto, -march=x86-64, -mtune=generic, -O2,
-pipe, -fno-plt, -fexceptions, -Wp,-D_FORTIFY_SOURCE=3, -Wformat, -Werror=format-security,
-fstack-clash-protection, -fcf-protection, -fno-omit-frame-pointer, -mno-omit-leaf-frame-pointer,
-flto=auto
name: gcc
version: 15.2.1
c++:
args: -march=x86-64, -mtune=generic, -O2, -pipe, -fno-plt, -fexceptions, -Wp,-D_FORTIFY_SOURCE=3,
-Wformat, -Werror=format-security, -fstack-clash-protection, -fcf-protection,
-fno-omit-frame-pointer, -mno-omit-leaf-frame-pointer, -Wp,-D_GLIBCXX_ASSERTIONS,
-flto=auto
commands: c++
linker: ld.bfd
linker args: -Wl,-O1, -Wl,--sort-common, -Wl,--as-needed, -Wl,-z,relro, -Wl,-z,now,
-Wl,-z,pack-relative-relocs, -flto=auto, -march=x86-64, -mtune=generic, -O2,
-pipe, -fno-plt, -fexceptions, -Wp,-D_FORTIFY_SOURCE=3, -Wformat, -Werror=format-security,
-fstack-clash-protection, -fcf-protection, -fno-omit-frame-pointer, -mno-omit-leaf-frame-pointer,
-Wp,-D_GLIBCXX_ASSERTIONS, -flto=auto
name: gcc
version: 15.2.1
cython:
commands: cython
linker: cython
name: cython
version: 3.2.3
Machine Information:
build:
cpu: x86_64
endian: little
family: x86_64
system: linux
host:
cpu: x86_64
endian: little
family: x86_64
system: linux
Python Information:
path: /usr/bin/python
version: '3.13'
SIMD Extensions:
baseline:
- X86_V2
found:
- X86_V3
not found:
- X86_V4
- AVX512_ICL
- AVX512_SPR
print(f"Pandas version: {pandas.__version__}")Pandas version: 2.3.1
print(f"PySR version {pysr.__version__}")PySR version 1.5.9
print(torch.__config__.show())PyTorch built with:
- GCC 15.2
- C++ Version: 201703
- Intel(R) oneAPI Math Kernel Library Version 2025.0.1-Product Build 20241031 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX2
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=d38164a545b4a4e4e0cf73ce67173f70574890b6, CXX_COMPILER=/usr/bin/g++, CXX_FLAGS=-march=x86-64 -mtune=generic -O2 -pipe -fno-plt -fexceptions -Wp,-D_FORTIFY_SOURCE=3 -Wformat -Werror=format-security -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -Wp,-D_GLIBCXX_ASSERTIONS -Wno-error=maybe-uninitialized -Wno-error=maybe-uninitialized -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN -DUSE_VULKAN_API -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-dangling-reference -Wno-error=dangling-reference -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.1, USE_CUDA=0, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=ON, USE_GLOG=ON, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=0, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF,
print(torchviz.__name__) # https://stackoverflow.com/a/62458882torchviz
print(f"tqdm version: {tqdm.__version__}")tqdm version: 4.67.1