How do I install MultiNEAT using conda?

How do I install MultiNEAT using conda? - python

I'm trying to install MultiNEAT library with the following command:
conda install -c conda-forge multineat
The process hangs at "Solving environment" step:
conda install -c conda-forge multineat
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: \
Is it possible to fix this?
I tried the following commands before installing MultiNEAT again, but it didn't help:
conda config --set channel_priority false
conda update conda
conda update --all --yes

MultiNEAT has not been undergoing active development and so the last build of it on Conda Forge was with Python 3.6. Since this is an EOL version of Python one should not be installing this into an existing environment, but creating a dedicated environment for it. Furthermore, the package metadata provides only lower bounds, which one should expect to be problematic because of API changes. Try something like:
multineat.yaml
name: multineat
channels:
- conda-forge
dependencies:
- python=3.6
- multineat
- boost=1.67
- matplotlib=2.2
- numpy=1.11
- opencv=3.3
and create with
conda env create -n multineat -f multineat.yaml

Related

UnsatisfiableError while installing open3d with conda

I'm trying to install open3d into my conda environment. This is what I did:
conda create --name env python=3.9 -y
conda activate env
conda install -c open3d-admin open3d
But the last command fails with this output:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.35=0
- python=3.9 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']
Your installed version is: 2.35

Works with Conda Forge
Not documented, but seems like their packages are built with the conda-forge channel prioritized. So, instead try:
conda create -n env -c conda-forge -c open3d-admin python=3.9 open3d
or use YAML:
so-open3d.yaml
name: so-open3d
channels:
- conda-forge
- open3d-admin
- nodefaults
dependencies:
- python=3.9
- open3d
with
conda env create -n env -f so-open3d.yaml

conda: ResolvePackageNotFound python=3.1 [duplicate]

I'm trying to use python packages in R, but I keep getting the same error:
ImportError: cannot import name 'read_csv' from 'pandas' (unknown location)
I cant use "py_install" neither:
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- python=3.1
Current channels:
- https://conda.anaconda.org/conda-forge/win-64
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.anaconda.com/pkgs/main/win-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/win-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://repo.anaconda.com/pkgs/msys2/win-64
- https://repo.anaconda.com/pkgs/msys2/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.
Error: one or more Python packages failed to install [error code 1]
I have tried to specify my folder in which the packages are in, but it doesn't work.
Hope you guys can help.
My code:
library(reticulate)
use_condaenv("C:/Users/Bruger/AppData/Local/r-miniconda/envs/r-reticulate")
import("pandas")
py = py_run_string
py("import pandas as pd")
py("from pandas import read_csv")

Conda 4.10 is incompatible with python 3.10.
The issue is not related to R, and maybe there is nothing wrong with your code. The same type of problem occurred at the following SO issues:
PyTorch installation asks for python=3.1 . Python Version installed: 3.10.0
Trying to install Earth Engine on R; python=3.1 not available
Why can't I install matplotlib or pandas with pip OR miniconda?
Solutions
If you need python 3.10+
If you need python 3.10 or newer, you must have conda 4.11 or newer. Install the desired conda version, or switch to the base environment and update conda using conda update conda. Something like:
conda activate base
conda update conda
conda create --name r-reticulate python=3.10 pandas numpy scipy matplotlib scikit-learn
conda activate r-reticulate
You may need to add non-default channels to your conda, as I get an UnsatisfiableError using it. By using the conda-forge channel e.g., I got no error (but this may install newer than usual packages):
conda create --name r-reticulate -c conda-forge python=3.10 pandas numpy scipy matplotlib scikit-learn
If you want to keep the old conda
Install another environment from base with python 3.9 or older like
conda activate base
conda create --name r-reticulate python=3.9 pandas numpy scipy matplotlib sklearn
conda activate r-reticulate
Other symptoms
You basically cannot install anything after creating and activating your python 3.10 environment. You cannot even install conda-build:
conda install conda-build -y
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
ResolvePackageNotFound:
- python=3.1
Conda 4.10 contains python 3.9 and conda 4.11 contains python 3.10, so your base environment should be compatible with the python version therein.
duplicate?
If you believe that your question is a duplicate, please check how you can improve it.
This answer is in agreement with meta. I believe this is an example where exactly the same answer should be accepted, but I also customized the answer to the question.

This works for me
library(reticulate)
x = import('pandas')
x$read_excel()
You can install the package in this way
py_install("pandas")

UnsatisfiableError when installing cuml

I am installing cuml using conda
conda install -c rapidsai cuml=21.12
This is the trace I get:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.31=0
- cuml=21.12 -> cupy[version='>=7.8.0,<10.0.0a0'] -> __glibc[version='>=2.17|>=2.17,<3.0.a0']
- python=3.8 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']
Your installed version is: 2.31
My confusion is that it's saying I need a __glibc version of greater than 2.17 but I have an installed version of 2.31.

Ignoring Conda's poor conflict reporting, RAPIDS has very specific channel specification (rapidsai > nvidia > conda-forge), so that could be affecting the solving. It might be sufficient to include those channels:
conda install -c rapidsai -c nvidia -c conda-forge cuml=21.12
However, it could also be the case that something previously installed is preventing correct installation. Moreover, when packages require specialized channels it is generally better practice to create a dedicated environment:
conda create -n cuml -c rapidsai -c nvidia -c conda-forge cuml=21.12
This latter is similar to what the RAPIDS installation selector generates.

Besides trying, this
conda create -n cuml -c rapidsai -c nvidia -c conda-forge cuml=21.12
from the previous post of #merv, just try that:
conda create -n cuml -c rapidsai -c nvidia -c conda-forge cuml
should solve the problem.

Conda reports PackagesNotFoundError: python=3.1 for reticulate environment

I'm trying to use python packages in R, but I keep getting the same error:
ImportError: cannot import name 'read_csv' from 'pandas' (unknown location)
I cant use "py_install" neither:
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- python=3.1
Current channels:
- https://conda.anaconda.org/conda-forge/win-64
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.anaconda.com/pkgs/main/win-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/win-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://repo.anaconda.com/pkgs/msys2/win-64
- https://repo.anaconda.com/pkgs/msys2/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.
Error: one or more Python packages failed to install [error code 1]
I have tried to specify my folder in which the packages are in, but it doesn't work.
Hope you guys can help.
My code:
library(reticulate)
use_condaenv("C:/Users/Bruger/AppData/Local/r-miniconda/envs/r-reticulate")
import("pandas")
py = py_run_string
py("import pandas as pd")
py("from pandas import read_csv")

This works for me
library(reticulate)
x = import('pandas')
x$read_excel()
You can install the package in this way
py_install("pandas")

Installing multiqc on Conda produces "UnsatisfiableError:"

I have tried installing a program called multiqc and it throws this error when I try to install it in my conda environment, I have tried to install alternative version of python contained in the list but it doesn't appear to be working.
The command
conda install -c bioconda multiqc
The install
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed \
And finally the error
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- multiqc -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|3.4.*']
Your python: python=3.7
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.

The command to install MultiQC should not use -c bioconda. Instead, set up the conda channels as per the bioconda documentation and install without the -c flag:
# Only need to do this once
conda config --add channels defaults
conda config --add channels bioconda
conda config --add channels conda-forge
# Install MultiQC
conda install multiqc
If you prefer, you can also install from PyPI or multiple other sources: https://multiqc.info/docs/#installing-multiqc
MultiQC works and is tested on Python 3.6-3.9 at the time of writing. 3.7 should definitely work, so that's not the issue.

Develop Reference

Python is a programming language that lets you work quickly and integrate systems more effectively.