I have the latest anaconda version from linux 32. I'm trying to install qutip with the command
conda install qutip
but the package is missing. I already tried adding conda-forge channel.
Any idea of why the package is missing? According to the Qutip documentacion this should be a possible way to install the package.
Error message:
Fetching package metadata ...........
PackageNotFoundError: Packages missing in current channels:
- qutip
We have searched for the packages in the following channels:
- https://conda.anaconda.org/conda-forge/linux-32
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.continuum.io/pkgs/free/linux-32
- https://repo.continuum.io/pkgs/free/noarch
- https://repo.continuum.io/pkgs/r/linux-32
- https://repo.continuum.io/pkgs/r/noarch
- https://repo.continuum.io/pkgs/pro/linux-32
- https://repo.continuum.io/pkgs/pro/noarch
Indeed, we do not have linux32 builds on conda. You can install via pip though, or build from source.
You need to add a channel to install from that includes your build architecture. The conda-forge channel only has linux-64 builds: https://anaconda.org/search?q=qutip It doesn't look like there are any channels that support linux-32, but you can find the recipe for conda build here: https://github.com/conda-forge/qutip-feedstock, so you might be able to build your own package.
Related
I'm trying out OpenCV with Python bindings for which I'm using the following YML file:
name: opencv-python-sandbox
channels:
- menpo
- conda-forge
- defaults
dependencies:
- jupyter=1.0.0
- jupyterlab=0.34.9
- keras=2.9.0
- matplotlib=3.5.2
- numpy=1.23.1
- opencv-python==4.6.0.66
- pandas=1.4.3
- python=3.8.0
- scikit-learn=1.1.1
- scipy=1.8.1
- tensorboard=2.9.1
- tensorflow=2.9.1
When I rain it threw some errors and says that it is not able to resolve OpenCV and Tensorflow:
(ml-sandbox) joesan#joesan-InfinityBook-S-14-v5:~/Projects/Private/ml-projects/ml-sandbox/opencv-python-sandbox$ conda env create -f environment.yml
Collecting package metadata (repodata.json): done
Solving environment: failed
ResolvePackageNotFound:
- tensorflow=2.9.1
- opencv-python==4.6.0.66
How to get this fixed? Do I need to add pip to my environment.yml and then manually install opencv via pip after activating the conda environment?
Not sure why this was not answered by anyone else as this seems to be a very common problem. Nevertheless, I was able to solve this by adding pip as a dependency in my environment.yml and use pip to install OpenCV and any other libraries that won't resolve with Conda.
My environment.yml looks like this:
name: ml-sandbox
channels:
- menpo
- conda-forge
- defaults
dependencies:
- jupyter=1.0.0
- jupyterlab=0.34.9
- keras=2.9.0
- matplotlib=3.5.2
- pandas=1.4.3
- python=3.8.0
- pip=22.1.2
- scikit-learn=1.1.1
- scipy=1.8.1
- tensorboard=2.9.1
- pip:
- numpy==1.23.1
- opencv-contrib-python==4.6.0.66
You have fixed it yourself by moving the requirements to the pip section, which results in an installation from Pypi. I just wanted to add explanation why your original attempt did not work and suggestions in case you want to strictly stick to using conda. Note that for both tensorflow and opencv, the packages provided on conda-forge are not maintained by the respective developers, often resulting in them lacking behind in versions.
The python bindings for openCV are called py-opencv on conda forge and have different version strings, so you would need to put py-opencv==4.6.0 in your yml
tensorflow on conda-forge goes only up to 2.8.1. So when strictly sticking to conda, you would need to downgrade the version
You can always check available versions for packages by using conda search -c <channel> <package-name> from your terminal
I am attempting to install CERNS ROOT in anaconda, for use of pyRoot. (I am using conda 4.10.3)
I have set up a new environment with python 2.7, because I believe I read somewhere that ROOT does not work well with python 3. After installing python to the new environment and activating it, I have added conda-forge to the current channels and attempted to install the following:
https://anaconda.org/conda-forge/root-dependencies
Using:
conda install -c conda-forge root-dependencies
This however returned the following:
(pyRoot) C:\Users\George>conda install -c conda-forge root-dependencies
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:
- root-dependencies
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/free/win-64
- https://repo.anaconda.com/pkgs/free/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.
I am not sure why this is not working, as I am fairly sure the root-dependencies are available on the conda-forge channel as per the link.
I have tried the following:
SET CONDA_RESTORE_FREE_CHANNEL=1
Just in case it was part of the free channel that may have been dropped, but I still get the same error.
Any ideas are appreciated :)
The package is not built for win-64 platform, which is what OP channel configuration indicates is being used. Consider WSL2 or Docker (ROOT Project provides pre-built images).
If you would like Conda Forge to build a Windows version, submit an Issue on the feedstock. Just be aware that ROOT Project itself only has beta support for Windows natively, so it's likely not a trivial task.
I am trying to install fiona=1.6 but I get the following error
conda install fiona=1.6
WARNING: The conda.compat module is deprecated and will be removed in a future release.
Collecting package metadata: done
Solving environment: -
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- conda-forge/noarch::flask-cors==3.0.7=py_0
- conda-forge/osx-64::blaze==0.11.3=py36_0
- conda-forge/noarch::flask==1.0.2=py_2
failed
PackagesNotFoundError: The following packages are not available from current channels:
- fiona=1.6 -> gdal==1.11.4
Current channels:
- https://conda.anaconda.org/conda-forge/osx-64
- https://conda.anaconda.org/conda-forge/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
If I try to install gdal==1.11.4, I get the following
conda install -c conda-forge gdal=1.11.4
WARNING: The conda.compat module is deprecated and will be removed in a future release.
Collecting package metadata: done
Solving environment: |
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- conda-forge/noarch::flask-cors==3.0.7=py_0
- conda-forge/osx-64::blaze==0.11.3=py36_0
- conda-forge/noarch::flask==1.0.2=py_2
failed
PackagesNotFoundError: The following packages are not available from current channels:
- gdal=1.11.4
Current channels:
- https://conda.anaconda.org/conda-forge/osx-64
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.anaconda.com/pkgs/main/osx-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/free/osx-64
- https://repo.anaconda.com/pkgs/free/noarch
- https://repo.anaconda.com/pkgs/r/osx-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.
This is the result of conda info
conda info
active environment : base
active env location : /anaconda3
shell level : 1
user config file : /Users/massaro/.condarc
populated config files : /Users/massaro/.condarc
conda version : 4.6.11
conda-build version : 3.17.8
python version : 3.6.8.final.0
base environment : /anaconda3 (writable)
channel URLs : https://conda.anaconda.org/conda-forge/osx-64
https://conda.anaconda.org/conda-forge/noarch
package cache : /anaconda3/pkgs
/Users/massaro/.conda/pkgs
envs directories : /anaconda3/envs
/Users/massaro/.conda/envs
platform : osx-64
user-agent : conda/4.6.11 requests/2.21.0 CPython/3.6.8 Darwin/17.5.0 OSX/10.13.4
UID:GID : 502:20
netrc file : None
Python Versions
The Conda Forge channel only has gdal v1.11.4 for Python 2.7, 3.4, and 3.5. You either need to use a newer version of Fiona (current is 1.8) or make a new env that includes one of those older Python versions.
For example,
conda create -n fiona_1_6 fiona=1.6 python=3.5
Channel defaults is Required
Another issue you face is that you have removed the defaults channel from your configuration (as per your conda info). It is impossible to install fiona=1.6 with only the conda-forge channel. My recommendation would be to have both conda-forge and defaults in your configuration, but just set conda-forge to have higher priority (if that's what you want). You can do this like so,
conda config --append channels defaults
If you really don't want to include defaults, but just want a temporary workaround, then you can simply run the first command with a --channels | -c flag
conda create -n fiona_1_6 -c conda-forge -c defaults fiona=1.6 python=3.5
This will still give conda-forge precedence, but allow missing dependencies to be sourced from defaults.
Environment File
If you have more than just Fiona that you require, it may be cleaner to put together a requirements file, like so
fiona_1_6.yaml
name: fiona_1_6
channels:
- conda-forge
- defaults
dependencies:
- python=3.5
- fiona=1.6
- osmnx
Then create the new environment with this:
conda env create -f fiona_1_6.yaml
Doing what the error message told me to,
To search for alternate channels that may provide the conda package you're
looking for, navigate to https://anaconda.org
and typing in gdal in the search box led me to https://anaconda.org/conda-forge/gdal which has this installation instruction:
conda install -c conda-forge gdal=1.11.4
Try that to install the gdal dependency, maybe?
I have a problem with installing packages via conda. It can not find any package in channel https://pypi.org simple.
conda install logbook
returns:
PS C:\WINDOWS\system32> conda config --add channels
https://pypi.org/simple
Warning: 'https://pypi.org/simple' already in 'channels' list, moving to the top
PS C:\WINDOWS\system32> conda install Logbook
Fetching package metadata ....
WARNING: The remote server could not find the noarch directory for the
requested channel with url: https://pypi.org/simple
It is possible you have given conda an invalid channel. Please double-check
your conda configuration using `conda config --show`.
If the requested url is in fact a valid conda channel, please request that the
channel administrator create `noarch/repodata.json` and associated
`noarch/repodata.json.bz2` files, even if `noarch/repodata.json` is empty.
$ mkdir noarch
$ echo '{}' > noarch/repodata.json
$ bzip2 -k noarch/repodata.json
...........
PackageNotFoundError: Packages missing in current channels:
- logbook
We have searched for the packages in the following channels:
- https://pypi.org/simple/win-64
- https://pypi.org/simple/noarch
- https://repo.continuum.io/pkgs/main/win-64
- https://repo.continuum.io/pkgs/main/noarch
- https://repo.continuum.io/pkgs/free/win-64
- https://repo.continuum.io/pkgs/free/noarch
- https://repo.continuum.io/pkgs/r/win-64
- https://repo.continuum.io/pkgs/r/noarch
- https://repo.continuum.io/pkgs/pro/win-64
- https://repo.continuum.io/pkgs/pro/noarch
- https://repo.continuum.io/pkgs/msys2/win-64
- https://repo.continuum.io/pkgs/msys2/noarch
I have checked manually in browser, that the logbook module is in the list on page https://pypi.org/simple.
hoever, it seems that conda seeks packages in https://pypi.org/simple/win-64, but the win-64 directory does not exist there.
conda config --show says, that configured channel is https://pypi.org/simple
add_anaconda_token: True
add_pip_as_python_dependency: True
allow_non_channel_urls: True
allow_softlinks: False
always_copy: False
always_softlink: False
always_yes: False
anaconda_upload: None
auto_update_conda: True
changeps1: True
channel_alias: https://conda.anaconda.org
channel_priority: True
channels:
- https://pypi.org/simple
- https://pypi.org/simple/
- defaults
client_ssl_cert: None
client_ssl_cert_key: None
clobber: False
create_default_packages: []
custom_channels:
pkgs/main: https://repo.continuum.io/
pkgs/free: https://repo.continuum.io/
pkgs/r: https://repo.continuum.io/
pkgs/pro: https://repo.continuum.io/
pkgs/msys2: https://repo.continuum.io/
C:/Program%20Files/Anaconda3/conda-bld: file:///
Any advice?
A conda channel has to have a specific layout (win-64, win-32, ...) and the package has to be built in a conda-specific way (see Building conda packages with conda skeleton). The packages are generally build against specific Python versions (although there should also be noarch packages) and/or numpy versions and for different platforms (windows, linux, mac 32bit or 64bit).
You cannot directly install packages from PyPI using conda because PyPI doesn't qualify as conda-channel and even if it were the packages there aren't build like conda-packages. But you can install them using pip (within conda).
But: You could check if the packages you want are distributed in a conda-conforming channel (a very popular channel currently is conda-forge). At a first glance several channels contain a package named logbook in the anaconda cloud (search results for logbook).
If you find a channel that distributes the desired version of your package (and against the desired Python version and platform) then just use:
conda install -c channel_name logbook
Many Python products are available for Windows on the Gohlke page.
Assuming you have 64-bit Py3.6 installed in its own environment, called Py36, you can do this.
Download Logbook-1.1.0-cp36-cp36m-win_amd64.whl from Gohlke (or whatever version it is that you need).
Then within a command prompt:
activate the conda environment where you want to install Logbook.
Use pip to install the whl that you have downloaded within that environment.
Verify success, if you wish.
C:\scratch>activate Py36
(Py36) C:\scratch>pip install Logbook-1.1.0-cp36-cp36m-win_amd64.whl
Processing c:\scratch\logbook-1.1.0-cp36-cp36m-win_amd64.whl
Installing collected packages: Logbook
Successfully installed Logbook-1.1.0
(Py36) C:\scratch>conda list
# packages in environment at C:\ProgramData\Miniconda3\envs\Py36:
#
beautifulsoup4 4.6.0 <pip>
certifi 2017.11.5 py36hb8ac631_0
chardet 3.0.4 <pip>
idna 2.6 <pip>
Logbook 1.1.0 <pip>
opencv-python 3.4.0+contrib <pip>
pip 9.0.1 py36h226ae91_4
python 3.6.3 h3b118a2_4
requests 2.18.4 <pip>
setuptools 36.5.0 py36h65f9e6e_0
urllib3 1.22 <pip>
vc 14 h2379b0c_2
vs2015_runtime 14.0.25123 hd4c4e62_2
wheel 0.30.0 py36h6c3ec14_1
wikipedia 1.4.0 <pip>
wincertstore 0.2 py36h7fe50ca_0
Edit: Answer to query in comment.
I entered this:
conda env export -n Py36 -f Py36.yml
Content of yaml file.
name: Py36
channels:
- defaults
dependencies:
- certifi=2017.11.5=py36hb8ac631_0
- pip=9.0.1=py36h226ae91_4
- python=3.6.3=h3b118a2_4
- setuptools=36.5.0=py36h65f9e6e_0
- vc=14=h2379b0c_2
- vs2015_runtime=14.0.25123=hd4c4e62_2
- wheel=0.30.0=py36h6c3ec14_1
- wincertstore=0.2=py36h7fe50ca_0
- pip:
- beautifulsoup4==4.6.0
- chardet==3.0.4
- idna==2.6
- logbook==1.1.0
- opencv-python==3.4.0+contrib
- requests==2.18.4
- urllib3==1.22
- wikipedia==1.4.0
prefix: C:\ProgramData\Miniconda3\envs\Py36
I am trying to build a conda package of the open energy modelling framework (oemof) PyPi package as described in the respective manual. The oemof package has the Pyomo package as a requirement which I had installed in advance using a suitable recipe.
My problem is that I now get an error during the build process:
Package missing in current linux-64 channels:
- pyomo >=4.2.0
wheras my installed Pyomo version seems to be above 4.2:
cord#crd-Laptop:~/.anaconda3/bin$ ./conda update pyomo
pyomo 4.2.10784 py35_10 cachemeorg
What's my mistake here and how can I build my package as described in the conda manual?
Thanks in advance!
Below you can see the steps I went through so far:
cord#crd-Laptop:~/.anaconda3/bin$ ./conda skeleton pypi oemof
Warning, the following versions were found for oemof
0.0.6
0.0.5
0.0.4
0.0.3
Using 0.0.6
Use --version to specify a different version.
Using url https://pypi.python.org/packages/3b/1f/5a82acf8cbcb3d0adb537346b2939cb6fa415e9c347f734af19c8a1b50d1/oemof-0.0.6.tar.gz (52 KB) for oemof.
Downloading oemof
Using cached download
Unpacking oemof...
done
working in /tmp/tmpd67mbpi2conda_skeleton_oemof-0.0.6.tar.gz
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata: ......
Solving package specifications: .........
The following NEW packages will be INSTALLED:
mkl: 11.3.1-0
numpy: 1.11.0-py35_0
openssl: 1.0.2g-0
pip: 8.1.1-py35_1
python: 3.5.1-0
pyyaml: 3.11-py35_1
readline: 6.2-2
setuptools: 20.7.0-py35_0
sqlite: 3.9.2-0
tk: 8.5.18-0
wheel: 0.29.0-py35_0
xz: 5.0.5-1
yaml: 0.1.6-0
zlib: 1.2.8-0
Linking packages ...
[ COMPLETE ]|###########################################################################################| 100%
Applying patch: '/tmp/tmpd67mbpi2conda_skeleton_oemof-0.0.6.tar.gz/pypi-distutils.patch'
patching file core.py
Hunk #1 succeeded at 167 with fuzz 2 (offset 1 line).
Using "UNKNOWN" for the license
Writing recipe for oemof
Done
cord#crd-Laptop:~/.anaconda3/bin$ ./conda build oemof
Removing old build environment
Removing old work directory
BUILD START: oemof-0.0.6-py35_0
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata: ......
Solving package specifications: .
Package missing in current linux-64 channels:
- pyomo >=4.2.0
Missing dependency pyomo, but found recipe directory, so building pyomo first
Ignoring non-recipe: pyomo
Removing old build environment
Removing old work directory
BUILD START: oemof-0.0.6-py35_0
Fetching package metadata: ......
Solving package specifications: .
Package missing in current linux-64 channels:
- pyomo >=4.2.0
cord#crd-Laptop:~/.anaconda3/bin$ ./conda update pyomo
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata: ....
# All requested packages already installed.
# packages in environment at /home/cord/.anaconda3:
#
pyomo 4.2.10784 py35_10 cachemeorg
cord#crd-Laptop:~/.anaconda3/bin$
For your build step please try conda build -c cachemeorg oemof.
I believe the problem here is that conda build creates a whole new conda environment when it is building and it will install all the package dependencies, including pyomo, in that environment. It installs them by looking for them in the channels and not via your currently installed packages in your root. In this example you have pyomo installed as a package but that didn't come from a channel in your channels list as you installed it yourself. Therefore it fails to find the pyomo package when searching your conda channels. But if we add a channel to the list that conda build is looking at (via the -c flag) which has pyomo then it should work. It looks like cachemeorg has this package and therefore the above command should work.