avatarify-python
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alievk
Cannot install - conda drops Python to 3.7, PyYaml 5.4 is not getting installed as it requires 3.8
Describe the bug While trying to install as per the installation instructions, after getting miniconda, the install stops around PyYaml with a requirement for Python 3.8. Yet, conda drops the version to 3.7 for unknown reason.
To Reproduce Install as per installation instructions.
Info:
- OS - Linux PopOS 22.04LTS
- NVIDIA GeForce RTX 4060 Laptop GPU
- Install log:
The following NEW packages will be INSTALLED:
_pytorch_select pkgs/main/linux-64::_pytorch_select-0.1-cpu_0
cudatoolkit pkgs/main/linux-64::cudatoolkit-11.0.221-h6bb024c_0
intel-openmp pkgs/main/linux-64::intel-openmp-2022.1.0-h9e868ea_3769
libuv pkgs/main/linux-64::libuv-1.48.0-h5eee18b_0
mkl pkgs/main/linux-64::mkl-2022.1.0-hc2b9512_224
ninja pkgs/main/linux-64::ninja-1.12.1-h06a4308_0
ninja-base pkgs/main/linux-64::ninja-base-1.12.1-hdb19cb5_0
pytorch pytorch/linux-64::pytorch-1.7.1-py3.7_cuda11.0.221_cudnn8.0.5_0
torchvision pkgs/main/linux-64::torchvision-0.8.2-cpu_py37ha229d99_0
The following packages will be SUPERSEDED by a higher-priority channel:
blas conda-forge::blas-1.1-openblas --> pkgs/main::blas-1.0-mkl
libopenblas conda-forge::libopenblas-0.3.28-pthre~ --> pkgs/main::libopenblas-0.3.21-h043d6bf_0
scipy pkgs/main::scipy-1.7.3-py37hf838250_2 --> conda-forge::scipy-1.7.3-py37hf2a6cf1_0
The following packages will be DOWNGRADED:
libblas 3.9.0-26_linux64_openblas --> 3.9.0-16_linux64_mkl
libcblas 3.9.0-26_linux64_openblas --> 3.9.0-16_linux64_mkl
liblapack 3.9.0-26_linux64_openblas --> 3.9.0-16_linux64_mkl
openblas 0.3.28-pthreads_h6ec200e_1 --> 0.3.4-ha44fe06_0
Downloading and Extracting Packages:
Preparing transaction: done
Verifying transaction: done
Executing transaction: - By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.html
done
Cloning into 'fomm'...
remote: Enumerating objects: 211, done.
remote: Total 211 (delta 0), reused 0 (delta 0), pack-reused 211 (from 1)
Receiving objects: 100% (211/211), 58.16 MiB | 36.60 MiB/s, done.
Resolving deltas: 100% (108/108), done.
Collecting opencv-python==4.2.0.34
Using cached opencv_python-4.2.0.34-cp37-cp37m-manylinux1_x86_64.whl (28.2 MB)
Collecting face-alignment==1.3.3
Using cached face_alignment-1.3.3.tar.gz (25 kB)
Preparing metadata (setup.py) ... done
Collecting pyzmq==20.0.0
Using cached pyzmq-20.0.0-cp37-cp37m-manylinux1_x86_64.whl (1.1 MB)
Collecting msgpack-numpy==0.4.7.1
Using cached msgpack_numpy-0.4.7.1-py2.py3-none-any.whl (6.7 kB)
Collecting pyyaml==5.4
Using cached PyYAML-5.4-cp37-cp37m-manylinux1_x86_64.whl (636 kB)
ERROR: Ignored the following versions that require a different python version: 2.32.0 Requires-Python >=3.8; 2.32.1 Requires-Python >=3.8; 2.32.2 Requires-Python >=3.8; 2.32.3 Requires-Python >=3.8; 6.0.2 Requires-Python >=3.8
ERROR: Could not find a version that satisfies the requirement requests==2.32.0 (from versions: 0.2.0, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.3.0, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.4.0, 0.4.1, 0.5.0, 0.5.1, 0.6.0, 0.6.1, 0.6.2, 0.6.3, 0.6.4, 0.6.5, 0.6.6, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.7.4, 0.7.5, 0.7.6, 0.8.0, 0.8.1, 0.8.2, 0.8.3, 0.8.4, 0.8.5, 0.8.6, 0.8.7, 0.8.8, 0.8.9, 0.9.0, 0.9.1, 0.9.2, 0.9.3, 0.10.0, 0.10.1, 0.10.2, 0.10.3, 0.10.4, 0.10.6, 0.10.7, 0.10.8, 0.11.1, 0.11.2, 0.12.0, 0.12.1, 0.13.0, 0.13.1, 0.13.2, 0.13.3, 0.13.4, 0.13.5, 0.13.6, 0.13.7, 0.13.8, 0.13.9, 0.14.0, 0.14.1, 0.14.2, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.1.0, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 2.0.0, 2.0.1, 2.1.0, 2.2.0, 2.2.1, 2.3.0, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0, 2.6.1, 2.6.2, 2.7.0, 2.8.0, 2.8.1, 2.9.0, 2.9.1, 2.9.2, 2.10.0, 2.11.0, 2.11.1, 2.12.0, 2.12.1, 2.12.2, 2.12.3, 2.12.4, 2.12.5, 2.13.0, 2.14.0, 2.14.1, 2.14.2, 2.15.1, 2.16.0, 2.16.1, 2.16.2, 2.16.3, 2.16.4, 2.16.5, 2.17.0, 2.17.1, 2.17.2, 2.17.3, 2.18.0, 2.18.1, 2.18.2, 2.18.3, 2.18.4, 2.19.0, 2.19.1, 2.20.0, 2.20.1, 2.21.0, 2.22.0, 2.23.0, 2.24.0, 2.25.0, 2.25.1, 2.26.0, 2.27.0, 2.27.1, 2.28.0, 2.28.1, 2.28.2, 2.29.0, 2.30.0, 2.31.0)
ERROR: No matching distribution found for requests==2.32.0
conda list:
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
_pytorch_select 0.1 cpu_0
blas 1.0 mkl
blosc 1.21.1 h83bc5f7_3 conda-forge
brotli 1.0.9 h166bdaf_9 conda-forge
brotli-bin 1.0.9 h166bdaf_9 conda-forge
brunsli 0.1 h9c3ff4c_0 conda-forge
bzip2 1.0.8 h4bc722e_7 conda-forge
c-ares 1.34.4 hb9d3cd8_0 conda-forge
c-blosc2 2.1.1 h7a311fb_2 conda-forge
ca-certificates 2024.12.14 hbcca054_0 conda-forge
certifi 2024.8.30 pyhd8ed1ab_0 conda-forge
cfitsio 4.0.0 h9a35b8e_0 conda-forge
charls 2.2.0 h9c3ff4c_0 conda-forge
cloudpickle 2.2.1 pyhd8ed1ab_0 conda-forge
cudatoolkit 11.0.221 h6bb024c_0
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
cytoolz 0.12.0 py37h540881e_0 conda-forge
dask-core 2022.2.0 pyhd8ed1ab_0 conda-forge
fftw 3.3.10 nompi_h77c792f_102 conda-forge
fonttools 4.38.0 py37h540881e_0 conda-forge
freetype 2.12.1 h267a509_2 conda-forge
fsspec 2023.1.0 pyhd8ed1ab_0 conda-forge
giflib 5.2.2 hd590300_0 conda-forge
imagecodecs 2021.11.20 py37h4167934_1 conda-forge
imageio 2.36.0 pyh12aca89_1 conda-forge
intel-openmp 2022.1.0 h9e868ea_3769
jpeg 9e h0b41bf4_3 conda-forge
jxrlib 1.1 hd590300_3 conda-forge
kiwisolver 1.4.2 py37h7cecad7_1 conda-forge
krb5 1.21.3 h143b758_0
lcms2 2.14 h6ed2654_0 conda-forge
ld_impl_linux-64 2.40 h12ee557_0
lerc 3.0 h9c3ff4c_0 conda-forge
libaec 1.0.6 h9c3ff4c_0 conda-forge
libblas 3.9.0 16_linux64_mkl conda-forge
libbrotlicommon 1.0.9 h166bdaf_9 conda-forge
libbrotlidec 1.0.9 h166bdaf_9 conda-forge
libbrotlienc 1.0.9 h166bdaf_9 conda-forge
libcblas 3.9.0 16_linux64_mkl conda-forge
libcurl 8.2.1 hca28451_0 conda-forge
libdeflate 1.8 h7f98852_0 conda-forge
libedit 3.1.20230828 h5eee18b_0
libev 4.33 hd590300_2 conda-forge
libffi 3.4.4 h6a678d5_1
libgcc 14.2.0 h77fa898_1 conda-forge
libgcc-ng 14.2.0 h69a702a_1 conda-forge
libgfortran 14.2.0 h69a702a_1 conda-forge
libgfortran-ng 14.2.0 h69a702a_1 conda-forge
libgfortran5 14.2.0 hd5240d6_1 conda-forge
libgomp 14.2.0 h77fa898_1 conda-forge
liblapack 3.9.0 16_linux64_mkl conda-forge
libnghttp2 1.57.0 h2d74bed_0
libnsl 2.0.1 hd590300_0 conda-forge
libopenblas 0.3.21 h043d6bf_0
libpng 1.6.43 h2797004_0 conda-forge
libssh2 1.11.0 h0841786_0 conda-forge
libstdcxx-ng 11.2.0 h1234567_1
libtiff 4.4.0 hecacb30_2
libuv 1.48.0 h5eee18b_0
libwebp-base 1.4.0 hd590300_0 conda-forge
libxcb 1.13 h7f98852_1004 conda-forge
libzlib 1.2.13 h4ab18f5_6 conda-forge
libzopfli 1.0.3 h9c3ff4c_0 conda-forge
locket 1.0.0 pyhd8ed1ab_0 conda-forge
lz4-c 1.9.3 h9c3ff4c_1 conda-forge
matplotlib-base 3.5.1 py37h1058ff1_0 conda-forge
mkl 2022.1.0 hc2b9512_224
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
ncurses 6.4 h6a678d5_0
networkx 2.7 pyhd8ed1ab_0 conda-forge
ninja 1.12.1 h06a4308_0
ninja-base 1.12.1 hdb19cb5_0
numpy 1.19.0 py37h8960a57_0 conda-forge
openblas 0.3.4 ha44fe06_0 conda-forge
openjpeg 2.5.0 h7d73246_0 conda-forge
openssl 3.4.0 hb9d3cd8_0 conda-forge
packaging 23.2 pyhd8ed1ab_0 conda-forge
pandas 1.2.4 py37ha9443f7_0
partd 1.4.1 pyhd8ed1ab_0 conda-forge
pillow 9.2.0 py37h850a105_2 conda-forge
pip 22.3.1 py37h06a4308_0
pthread-stubs 0.4 hb9d3cd8_1002 conda-forge
pyparsing 3.1.4 pyhd8ed1ab_0 conda-forge
python 3.7.12 hf930737_100_cpython conda-forge
python-blosc 1.7.0 py37hf484d3e_1001 conda-forge
python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge
python_abi 3.7 4_cp37m conda-forge
pytorch 1.7.1 py3.7_cuda11.0.221_cudnn8.0.5_0 pytorch
pytz 2024.2 pyhd8ed1ab_0 conda-forge
pywavelets 1.3.0 py37h6c7ee08_0 conda-forge
pyyaml 6.0 py37h540881e_4 conda-forge
readline 8.2 h5eee18b_0
scikit-image 0.19.2 py37he8f5f7f_0 conda-forge
scipy 1.7.3 py37hf2a6cf1_0 conda-forge
setuptools 65.6.3 py37h06a4308_0
six 1.16.0 pyh6c4a22f_0 conda-forge
snappy 1.1.9 hbd366e4_1 conda-forge
sqlite 3.45.3 h5eee18b_0
tifffile 2021.11.2 pyhd8ed1ab_0 conda-forge
tk 8.6.14 h39e8969_0
toolz 0.12.1 pyhd8ed1ab_0 conda-forge
torchvision 0.8.2 cpu_py37ha229d99_0
typing-extensions 4.7.1 hd8ed1ab_0 conda-forge
typing_extensions 4.7.1 pyha770c72_0 conda-forge
unicodedata2 14.0.0 py37h540881e_1 conda-forge
wheel 0.38.4 py37h06a4308_0
xorg-libxau 1.0.12 hb9d3cd8_0 conda-forge
xorg-libxdmcp 1.1.5 hb9d3cd8_0 conda-forge
xz 5.4.6 h5eee18b_1
yaml 0.2.5 h7f98852_2 conda-forge
zfp 0.5.5 h9c3ff4c_8 conda-forge
zlib 1.2.13 h4ab18f5_6 conda-forge
zlib-ng 2.0.7 h0b41bf4_0 conda-forge
zstd 1.5.2 h8a70e8d_1 conda-forge
