Noyes on trying to get NanoSim installed.

NanoSim is available through Github
  https://github.com/bcgsc/NanoSim
  
I am using anaconda3.
I report here on trying to follow the 4-step procedure outlined for installation (previous 
attempts with the single step   conda install -c bioconda nanosim  have also failed.) 

(nanosim) vc7-shared 644 % conda install --file requirements.txt -c conda-forge -c bioconda
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.

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

  - scikit-learn==0.22.1=pypi_0
  - numpy==1.21.5=pypi_0

Current channels:

  - https://conda.anaconda.org/conda-forge/linux-64
  - https://conda.anaconda.org/conda-forge/noarch
  - https://conda.anaconda.org/bioconda/linux-64
  - https://conda.anaconda.org/bioconda/noarch
  - https://repo.anaconda.com/pkgs/main/linux-64
  - https://repo.anaconda.com/pkgs/main/noarch
  - https://repo.anaconda.com/pkgs/r/linux-64
  - https://repo.anaconda.com/pkgs/r/noarch

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.


Because scikit-learn and numpy versions were not found I modified the requirement.txt file
to call 

numpy=1.21.2=py310h20f2e39_0
numpy-base=1.21.2=py37h79a1101_0
scikit-learn=0.22.1=py37hd81dba3_0

The numpy and numpy-base were listed on the anaconda.org database and created on the same
day, so I thought they might be compatible.  No luck.  I have tried various other changes
but run into a problem where an unpickling process fails because of a reported 
incompatibility between versions of scikit-learn and numpy.

The following is one of the modified  requirements.txt files I have tried.

(nanosim) vc7-shared 648 % less requirements_modified_cjw_090422.txt
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_anaconda_depends=2019.03=py37_0
_ipyw_jlab_nb_ext_conf=0.1.0=py37_0
_libgcc_mutex=0.1=main
genometools-genometools
htseq=0.11.3=py37hb3f55d8_0
joblib=1.1.0=pyhd3eb1b0_0
last=874=h8b12597_3
minimap2=2.17=h8b12597_1
numpy=1.21.2=py310h20f2e39_0
numpy-base=1.21.2=py37h79a1101_0
pybedtools=0.8.1=py37he513fc3_0
pysam=0.15.3=py37hda2845c_1
samtools
scikit-learn=0.22.1=py37hd81dba3_0
scipy=1.7.3=py37hc147768_0
six=1.16.0=pyhd3eb1b0_1


Chris Woodruff