Cannot Create Conda Env Following the Instructions

[ajpowelsnl]

Hello -

I'm following your instructions (conda env create --file=environment.yml) on creating the environment to use your code. I am using a recent conda installation (Python 3.11.7).

The error (below) says that already-installed packages are not available.

Many thanks for any guidance you can offer!

Error

(base) s1104991:aegnn ajpowel$ conda env create --file=environment.yml
Channels:
 - pyg
 - pytorch
 - defaults
 - conda-forge
 - anaconda
 - bioconda
Platform: osx-arm64
Collecting package metadata (repodata.json): done
Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  - zstd==1.4.9=haebb681_0
  - zlib==1.2.12=h7f8727e_2
  - yaml==0.2.5=h7b6447c_0
  - xz==5.2.5=h7f8727e_1
  - urllib3==1.26.9=py38h06a4308_0
  - tqdm==4.64.0=py38h06a4308_0
  - tornado==6.1=py38h27cfd23_0
  - torchvision==0.12.0=py38_cu113
  - torchaudio==0.11.0=py38_cu113
  - tk==8.6.11=h1ccaba5_1
  - sqlite==3.38.3=hc218d9a_0
  - sip==4.19.13=py38h295c915_0
  - shortuuid==1.0.8=py38h578d9bd_0
  - setuptools==61.2.0=py38h06a4308_0
  - setproctitle==1.2.2=py38h27cfd23_1004
  - scipy==1.7.3=py38hc147768_0
  - scikit-learn==1.0.2=py38h51133e4_1
  - readline==8.1.2=h7f8727e_1
  - qt==5.9.7=h5867ecd_1
  - pyyaml==6.0=py38h7f8727e_1
  - pytorch-spline-conv==1.2.1=py38_torch_1.11.0_cu113
  - pytorch-sparse==0.6.13=py38_torch_1.11.0_cu113
  - pytorch-scatter==2.0.9=py38_torch_1.11.0_cu113
  - pytorch-cluster==1.6.0=py38_torch_1.11.0_cu113
  - pytorch==1.11.0=py3.8_cuda11.3_cudnn8.2.0_0
  - python==3.8.13=h12debd9_0
  - pysocks==1.7.1=py38h06a4308_0
  - pyqt==5.9.2=py38h05f1152_4
  - pyg==2.0.4=py38_torch_1.11.0_cu113
  - psutil==5.8.0=py38h27cfd23_1
  - protobuf==3.19.1=py38h295c915_0
  - promise==2.3=py38h06a4308_0
  - pip==21.2.4=py38h06a4308_0
  - pillow==9.0.1=py38h22f2fdc_0
  - pcre==8.45=h295c915_0
  - pandas==1.4.2=py38h295c915_0
  - openssl==1.1.1o=h7f8727e_0
  - openh264==2.1.1=h4ff587b_0
  - numpy-base==1.21.5=py38hf524024_2
  - numpy==1.21.5=py38he7a7128_2
  - numexpr==2.8.1=py38h6abb31d_0
  - nettle==3.7.3=hbbd107a_1
  - ncurses==6.3=h7f8727e_2
  - mkl_random==1.2.2=py38h51133e4_0
  - mkl_fft==1.3.1=py38hd3c417c_0
  - mkl-service==2.4.0=py38h7f8727e_0
  - mkl==2021.4.0=h06a4308_640
  - matplotlib-base==3.5.1=py38ha18d171_1
  - matplotlib==3.5.1=py38h06a4308_1
  - markupsafe==2.0.1=py38h27cfd23_0
  - lz4-c==1.9.3=h295c915_1
  - libxml2==2.9.12=h74e7548_1
  - libxcb==1.14=h7b6447c_0
  - libwebp-base==1.2.2=h7f8727e_0
  - libwebp==1.2.2=h55f646e_0
  - libuv==1.40.0=h7b6447c_0
  - libuuid==1.0.3=h7f8727e_2
  - libunistring==0.9.10=h27cfd23_0
  - libtiff==4.2.0=h85742a9_0
  - libtasn1==4.16.0=h27cfd23_0
  - libstdcxx-ng==9.3.0=hd4cf53a_17
  - libprotobuf==3.19.1=h4ff587b_0
  - libpng==1.6.37=hbc83047_0
  - libidn2==2.3.2=h7f8727e_0
  - libiconv==1.16=h7f8727e_2
  - libgomp==9.3.0=h5101ec6_17
  - libgfortran4==7.5.0=ha8ba4b0_17
  - libgfortran-ng==7.5.0=ha8ba4b0_17
  - libgcc-ng==9.3.0=h5101ec6_17
  - libffi==3.3=he6710b0_2
  - ld_impl_linux-64==2.35.1=h7274673_9
  - lcms2==2.12=h3be6417_0
  - lame==3.100=h7b6447c_0
  - kiwisolver==1.3.2=py38h295c915_0
  - jpeg==9e=h7f8727e_0
  - intel-openmp==2021.4.0=h06a4308_3561
  - icu==58.2=he6710b0_3
  - gstreamer==1.14.0=h28cd5cc_2
  - gst-plugins-base==1.14.0=h8213a91_2
  - gnutls==3.6.15=he1e5248_0
  - gmp==6.2.1=h2531618_2
  - glib==2.69.1=h4ff587b_1
  - giflib==5.2.1=h7b6447c_0
  - freetype==2.11.0=h70c0345_0
  - fontconfig==2.13.1=h6c09931_0
  - ffmpeg==4.3=hf484d3e_0
  - expat==2.4.4=h295c915_0
  - dbus==1.13.18=hb2f20db_0
  - cudatoolkit==11.3.1=h2bc3f7f_2
  - cryptography==36.0.0=py38h9ce1e76_0
  - click==8.0.4=py38h06a4308_0
  - cffi==1.15.0=py38hd667e15_1
  - certifi==2021.10.8=py38h06a4308_2
  - ca-certificates==2022.4.26=h06a4308_0
  - bzip2==1.0.8=h7b6447c_0
  - brotlipy==0.7.0=py38h27cfd23_1003
  - brotli==1.0.9=he6710b0_2
  - bottleneck==1.3.4=py38hce1f21e_0
  - blas==1.0=mkl
  - _openmp_mutex==4.5=1_gnu
  - _libgcc_mutex==0.1=main

Current channels:

  - https://conda.anaconda.org/pyg/osx-arm64
  - https://conda.anaconda.org/pytorch/osx-arm64
  - https://repo.anaconda.com/pkgs/main/osx-arm64
  - https://repo.anaconda.com/pkgs/r/osx-arm64
  - https://conda.anaconda.org/conda-forge/osx-arm64
  - https://conda.anaconda.org/anaconda/osx-arm64
  - https://conda.anaconda.org/bioconda/osx-arm64

To search for alternate channels that may provide the conda package you're
looking for, navigate to

    https://anaconda.org

and use the search bar at the top of the page.