The Fast Cross-Platform Package Manager

Last update: Dec 30, 2022

Related tags

Overview

The Fast Cross-Platform Package Manager

part of mamba-org
Package Manager mamba	Package Server quetz	Package Builder boa

mamba

Mamba is a reimplementation of the conda package manager in C++.

parallel downloading of repository data and package files using multi-threading
libsolv for much faster dependency solving, a state of the art library used in the RPM package manager of Red Hat, Fedora and OpenSUSE
core parts of mamba are implemented in C++ for maximum efficiency

At the same time, mamba utilize the same command line parser, package installation and deinstallation code and transaction verification routines as conda to stay as compatible as possible.

Mamba is part of a bigger ecosystem to make scientific packaging more sustainable. You can read our announcement blog post. The ecosystem also consists of quetz, an open source conda package server and boa, a fast conda package builder.

Installation

It's advised to install mamba from conda-forge. If you already have conda:

conda install mamba -c conda-forge

otherwise it's best to start with Miniconda. If you want to experiment with the latest software, you can also try micromamba (more below).

Installing conda packages with `mamba`

Now you are ready to install packages with

mamba install xtensor-r -c conda-forge

for example.

Additional features

Mamba comes with features on top of stock conda. To efficiently query repositories and query package dependencies you can use mamba repoquery.

Here are some examples:

mamba repoquery search xtensor will show you all available xtensor packages. You can also specify more constraints on this search query, for example mamba repoquery search "xtensor>=0.18"

mamba repoquery depends xtensor will show you a tree view of the dependencies of xtensor.

$ mamba repoquery depends xtensor

xtensor == 0.21.5
  ├─ libgcc-ng [>=7.3.0]
  │ ├─ _libgcc_mutex [0.1 conda_forge]
  │ └─ _openmp_mutex [>=4.5]
  │   ├─ _libgcc_mutex already visited
  │   └─ libgomp [>=7.3.0]
  │     └─ _libgcc_mutex already visited
  ├─ libstdcxx-ng [>=7.3.0]
  └─ xtl [>=0.6.9,<0.7]
    ├─ libgcc-ng already visited
    └─ libstdcxx-ng already visited

And you can ask for the inverse, which packages depend on some other package (e.g. ipython) using whoneeds.

$ mamba repoquery whoneeds ipython

 Name            Version Build          Channel
──────────────────────────────────────────────────
 ipykernel       5.2.1   py37h43977f1_0 installed
 ipywidgets      7.5.1   py_0           installed
 jupyter_console 6.1.0   py_1           installed

With the --tree (or -t) flag, you can get the same information in a tree.

micromamba

micromamba is a tiny version of the mamba package manager. It is a pure C++ package with a separate command line interface. It can be used to bootstrap environments (as an alternative to miniconda), but it's currently experimental. The benefit is that it's very tiny and does not come with a default version of Python.

micromamba works in the bash & zsh shell on Linux & OS X. It's completely statically linked, which allows you to drop it in some place and just execute it.

Note: it's advised to use micromamba in containers & CI only.

Download and unzip the executable (from the official conda-forge package):

wget -qO- https://micromamba.snakepit.net/api/micromamba/linux-64/latest | tar -xvj bin/micromamba

We can use ./micromamba shell init ... to initialize a shell (.bashrc) and a new root environment in ~/micromamba:

./bin/micromamba shell init -s bash -p ~/micromamba
source ~/.bashrc

Now you can activate the base environment and install new packages, or create other environments.

Note: currently the -c arguments have to come at the end of the command line.

micromamba activate
micromamba install python=3.6 jupyter -c conda-forge
# or
micromamba create -p /some/new/prefix xtensor -c conda-forge
micromamba activate /some/new/prefix

For more instructions (including OS X) check out https://gist.github.com/wolfv/fe1ea521979973ab1d016d95a589dcde

Development installation

Make sure to have the following requirements in your conda environment:

mamba install cmake compilers pybind11 libsolv libarchive libcurl nlohmann_json pip cpp-filesystem yaml-cpp -c conda-forge

If you build mamba in a different environment than base, you must also install conda in that environment:

mamba install conda -c conda-forge

For a local (dev) build, run pip install -e .. This will build and install mamba in the conda environment.

cmake based build

You will additionally need to install cmake and cli11 for micromamba:

mamba install -c conda-forge cli11 cmake

For the C++ tests, you need Google Tests installed (e.g. mamba install gtest). To build the program using CMake, the following lines need to be used:

mkdir -p build
cd build
cmake .. \
    -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX \
    -DPYTHON_EXECUTABLE=$CONDA_PREFIX/bin/python3 \
    -DPYTHON_LIBRARIES=$CONDA_PREFIX/lib/libpython3.7m.so \
    -DENABLE_TESTS=ON
cmake --build . -j

This would generate the test program ./test/test_mamba under the build directory which you can execute with make test. To generate the executable micromamba also include the CMake option -DBUILD_EXE=ON in the above step.

Support us

For questions, you can also join us on the QuantStack Chat or on the conda channel (note that this project is not officially affiliated with conda or Anaconda Inc.).

License

We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.

This software is licensed under the BSD-3-Clause license. See the LICENSE file for details.

Comments

Micromamba sporadically hangs (QEMU + ARM)
Edit: Summary

Initial report

Over at Jupyter Docker Stacks, we have been trying create the initial Conda environment for our base-notebook by using Micromamba instead of Miniforge. We have been plagued by sporadic hangs in our multi-arch Docker build process on GH Actions at a rate of ~20% of all runs when for aarch64 we RUN the command

./micromamba install --root-prefix=/opt/conda --prefix=/opt/conda -vv --yes python=3.9 mamba notebook jupyterhub jupyterlab

The hang occurs sometime between the end of extraction and the beginning of linking. The last message printed during an unsuccessful run is something like

#29 188.0 debug libmamba Extracted to '/opt/conda/pkgs/mistune-0.8.4-py39h14843e3_1005'

without proceeding to a line like

#29 178.0 Linking pandoc-2.17.1.1-h8af1aa0_0

Execution hangs without any further output until the 6h limit is reached.

References

(in chronological order)

Mamba sporadically hangs when building jupyter/docker-stacks arm64 image

Original PR in jupyter/docker-stacks to replace MiniForge with Micromamba.

Partially understood/isolated the problem

This bug report

@jonashaag patches my jupyter/docker-stacks PR to disable concurrency, and I confirm that it appears to work

@jonashaag patches libmamba to disable subprocesses when extract_threads=1

Discussion returns to this thread
opened by maresb 60
Reproducible micromamba segfault when installing from lockfile after previous install
I can reproduce in a Dockerfile built on GitHub Actions.

Repo

Failed run

I put some effort into making this more minimal, but didn't get very far. I hope this makes it possible for someone to easily do a trace. :)

High-level overview:

Select some particular dependencies

Do micromamba install, with or without lockfile. (I used a lockfile for the first install command to guarantee reproducibility.)

Do micromamba install from a new-style lockfile produced by conda-lock
opened by maresb 57
SHA256 mismatch on homebrew micromamba installation

SHA256 mismatch when installing micromamba 0.27.0-2 on a fresh installation of Monterey via homebrew. Everything else brew related seems to be working correctly. Successfully installed a few days ago so not sure what's changed.

opened by b4rlw 37

DLL load error

With the latest mamba=0.2.7 I'm seeing DLL load errors:

(dev) C:\>mamba install diagrams
Traceback (most recent call last):
  File "C:\Miniconda3\Scripts\mamba-script.py", line 6, in <module>
    from mamba.mamba import main
  File "C:\Miniconda3\lib\site-packages\mamba\mamba.py", line 52, in <module>
    import mamba.mamba_api as api
ImportError: DLL load failed: %1 is not a valid Win32 application.

I saw this with 0.2.6 but I'm not sure if it's specifically related to updating mamba or I also did a conda update --all in my base (mamba) env around the same time.

opened by dhirschfeld 33

Extract packages in subproc

Based on the work in https://github.com/mamba-org/mamba/pull/1187. Refs https://github.com/mamba-org/mamba/pull/1174.

For some reason, on my machine reproc always reports an exit code of 32 (Broken pipe), but the child processes run just fine, which is why the code currently skips error checking. I have spent quite some time debugging this but have not succeeded in identifying the root cause. Things I've tried: Replacing mamba with echo; putting a mutex around extract_subproc; removing any output from the extract subcommand; others.

opened by jonashaag 31
Parse and use explicit platform specifications.

Rather than trying to figure out whether a channel string/url contains a platform, we instead make platform specification explicit with CHANNEL[PLATFORM1,PLATFORM2,...].

There is a refactor of the channel class here to hide implementation details/functions which are only relevant for testing.

This is a rework related to discussion at #934, and will close #794.

Note that this introduces breaking CLI changes as well as breaking Python API changes (the Channel class is improved), so these should be noted in the changelog.

opened by afranchuk 30

micromamba resolves differently (and wrong) in ci environment while resolving locally correctly

Both have micromamba 0.27 We do

micromamba create -f conda.yaml -y -n env-name
# And then
micromamba install -c conda-forge -n env-name pytest=7.1.3 pyspark=3.2.1 openjdk=8
# as those are dev dependencies we don't want in our final conda file which later is used in mlflow

Locally this works, and upgrades two packages but in CI in upgrades (consistently) a third package - tokenizers

 Upgrade:
───────────────────────────────────────────────────────────────────────────────────────────
  - libprotobuf               3.20.0  h6239696_0          conda-forge              Cached
  + libprotobuf               3.21.9  h6239696_0          conda-forge/linux-64        3MB
  - protobuf                  3.20.0  py38hfa26641_5      conda-forge              Cached
  + protobuf                  4.21.9  py38hfa26641_0      conda-forge/linux-64      348kB
  - tokenizers                0.12.1  py38h8bed557_1      conda-forge              Cached
  + tokenizers                0.13.1  py38hb35c9e2_2      conda-forge/linux-64        5MB

The problem is it's a version we don't support and is specified in the conda.yaml

name: survey-answers-clustering-mlflow-env
channels:
  - conda-forge

dependencies:
      - python=3.8
      - hdbscan=0.8.28
      - joblib=1.1.0 #because of problematic hdbscan dependency
      - bertopic=0.9.4
      - python-flair>=0.11.3,<0.12 #it was open, and to avoid future problems I am locking
      - spacy>=2.0.0,<3.0.0
      - numpy=1.21.0
      - pandas=1.3.5
      - spacy-model-en_core_web_sm=2.2.0
      - inflection=0.5.1
      - protobuf>=3.12.0,3.20
      - transformers=4.19.4
      - tokenizers>=0.11.1,!=0.11.3,<0.13 #other dependency require this limitation
      - pip
      - pip:
        - mlflow==1.29.0
        - cloudpickle==1.6.0

How should I debug this? what should I do differently? Trying to install both in the same command fails with another error

 micromamba create -f conda.yaml -y -n survey-answers-clustering-mlflow-env-4 pytest=7.1.3 pyspark=3.2.1 openjdk=8

Thanks for this tool!

opened by alonisser 29

Micromamba download performance is slow compared to just parallel curl

I've been testing some things on large ec2 machines and found micromamba seems to max out around 400Mbps sustained download.

Comparatively using parallel and curl I was able to hit 7Gbps (over 10x speedup!). I played with micromamba config set download_threads but nothing really got me past the 400Mbps wall.

This is surprising and maybe points to something wrong considering micromamba uses libcurl. Very few people will be hitting 4Gbps, but in CI/Cloud systems where 1Gbps is the norm and 100Gbps is possible, fixing this could have a nice beneficial effect.

Here's a sample command and environment I was using

parallel -j 64 --verbose curl -O < testfile.txt

testfile.txt

https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2022.6.15-ha878542_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.36.1-hea4e1c9_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-12.1.0-hdcd56e2_16.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-12.1.0-ha89aaad_16.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/pandoc-2.18-ha770c72_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libgcc-devel_linux-64-12.1.0-h1ec3361_16.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libgomp-12.1.0-h8d9b700_16.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-12.1.0-h69a702a_16.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-12.1.0-h8d9b700_16.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-12.1.0-ha89aaad_16.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.5-h516909a_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.3-h7f98852_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.9-h7f98852_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/snappy-1.1.9-hbd366e4_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/re2-2022.06.01-h27087fc_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-h36c2ea0_1001.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/pcre-8.45-h9c3ff4c_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/openssl-1.1.1q-h166bdaf_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/nspr-4.32-h9c3ff4c_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.3-h27087fc_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.3-h9c3ff4c_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.12-h166bdaf_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.2.3-h166bdaf_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.32.1-h7f98852_1000.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libutf8proc-2.7.0-h7f98852_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libudev1-249-h166bdaf_4.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libtool-2.4.6-h9c3ff4c_1008.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libopus-1.3.1-h7f98852_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.20-pthreads_h78a6416_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libogg-1.3.4-h7f98852_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.0-h7f98852_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.16-h516909a_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-h516909a_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.12-h166bdaf_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libdb-6.2.32-h9c3ff4c_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.0.9-h166bdaf_7.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/lerc-3.0-h9c3ff4c_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/jpeg-9e-h166bdaf_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/icu-70.1-h27087fc_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.1-h36c2ea0_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-he1b5a44_1004.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/fftw-3.3.10-nompi_h77c792f_102.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/expat-2.4.8-h27087fc_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.18.1-h7f98852_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h7f98852_4.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.6.2-h7f98852_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.6.1-h7f98852_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/abseil-cpp-20210324.2-h9c3ff4c_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.13-h7f98852_1004.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/s2n-1.0.10-h9b69904_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/mysql-common-8.0.29-haf5c9bc_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.10-h9b69904_4.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/readline-8.1.2-h0f457ee_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.2-h8a70e8d_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.12-h166bdaf_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.12-h27826a3_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libllvm14-14.0.6-he0ac6c6_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libllvm11-11.1.0-hf817b99_3.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.4-h9c3ff4c_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-15_linux64_openblas.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libvorbis-1.3.7-h9c3ff4c_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/gettext-0.19.8.1-h73d1719_1008.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.0.9-h166bdaf_7.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.0.9-h166bdaf_7.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/glog-0.6.0-h6f12383_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.11-ha31a3da_7.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.5.11-h95a6274_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libcap-2.64-ha37c62d_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/portaudio-19.6.0-h57a0ea0_5.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/xcb-util-wm-0.4.1-h166bdaf_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/xcb-util-renderutil-0.3.9-h166bdaf_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/xcb-util-keysyms-0.4.0-h166bdaf_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.0-h166bdaf_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libthrift-0.16.0-h519c5ea_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/krb5-1.19.3-h3790be6_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-8.0.29-h28c427c_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.4.0-hc85c160_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.1-h83bc5f7_3.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.39.2-h4ff8645_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.9.14-h22db469_3.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.10.0-ha56f1ee_2.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-3.20.1-h6239696_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.37-h753d276_3.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.47.0-h727a467_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libclang13-14.0.6-default_h3a83d3e_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-15_linux64_openblas.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-15_linux64_openblas.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libglib-2.72.1-h2d90d5f_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/libflac-1.3.4-h27087fc_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.0.9-h166bdaf_7.tar.bz2
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https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.5.2-py39hf3d152e_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/dask-core-2022.7.1-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.2.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/markdown-3.4.1-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/mako-1.2.1-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.7.2-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-4.11.4-hd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/jupyter_client-7.3.4-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/patsy-0.5.2-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/imagehash-4.2.1-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/visions-0.7.4-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/parquet-cpp-1.5.1-2.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.0.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/oauthlib-3.2.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.11.2-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/flask-2.1.3-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/alembic-1.8.1-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/nbformat-5.4.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.15.1-pyh210e3f2_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.10-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/prometheus_flask_exporter-0.20.2-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/nbclient-0.6.6-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_1.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/distributed-2022.7.1-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/botocore-1.24.21-pyhd8ed1ab_1.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-6.5.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/querystring_parser-1.2.4-py_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/databricks-cli-0.17.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-6.5.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.18.1-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/nbconvert-6.5.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.1.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.15.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/notebook-6.4.12-pyha770c72_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/nbclassic-0.4.3-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/jupyterlab-3.4.4-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/bokeh-2.4.3-py39hf3d152e_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.8.1-py39hb9d737c_1.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/statsmodels-0.13.2-py39hd257fcd_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/pyarrow-8.0.0-py39h42d110c_4_cpu.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/docker-py-5.0.3-py39hf3d152e_2.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/dask-2022.7.1-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/aiobotocore-2.3.4-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/seaborn-0.11.2-hd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/s3fs-2022.5.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/missingno-0.4.2-py_1.tar.bz2
https://conda.anaconda.org/conda-forge/noarch/pandas-profiling-3.2.0-pyhd8ed1ab_0.tar.bz2
https://conda.anaconda.org/conda-forge/linux-64/mlflow-1.27.0-py39ha39b057_0.tar.bz2

opened by shughes-uk 28

Faster pyc compilation
This PR included all but one of the changes I've mentioned on gitter. My C++ knowlege is lacking so I'm not sure how idiomatic this PR is, feel free to sugest major changes. I'm also happy for someone else to take over this PR if it's easier.

Fixes #1413

Performance comparision

I picked a few packages I'm familiar with to use for benchmarking here:

micromamba create --prefix /tmp/test-env --yes celery pandas tqdm sqlalchemy uproot scikit-hep jupyterlab

I've ran the command several times to make sure the caches were populated.

I've also tried various other sets of packages, installers generated using conda-constructor and running on slower filesystems (NFS, Ceph volumes, ...). All of my test cases have been significantly faster.

Lastest micromamba release from inside an exisiting environment

Slowed by calling deactivate (see #1413)

________________________________________________________ Executed in 45.73 secs fish external usr time 41.04 secs 610.00 micros 41.04 secs sys time 8.31 secs 193.00 micros 8.31 secs

Lastest micromamba release outside an exisiting environment

________________________________________________________ Executed in 19.87 secs fish external usr time 16.14 secs 1.67 millis 16.13 secs sys time 3.48 secs 0.00 millis 3.48 secs

This PR

________________________________________________________ Executed in 9.57 secs fish external usr time 11.92 secs 800.00 micros 11.92 secs sys time 1.81 secs 0.00 micros 1.81 secs
opened by chrisburr 27

filesystem error: cannot make absolute path with 0.26

Hello;

Our package doesn't build anymore using Mamba, although it has always been in the past. It might be related to the new 0.26 version.

Details https://app.travis-ci.com/github/radis/radis/jobs/584458524#L310

info     libmamba ****************** Backtrace Start ******************
debug    libmamba Loading configuration
trace    libmamba Compute configurable 'create_base'
trace    libmamba Compute configurable 'no_env'
trace    libmamba Compute configurable 'no_rc'
trace    libmamba Compute configurable 'rc_files'
trace    libmamba Compute configurable 'root_prefix'
trace    libmamba Get RC files configuration from locations up to HomeDir
trace    libmamba Configuration not found at '/home/travis/.mambarc'
trace    libmamba Configuration not found at '/home/travis/.condarc'
trace    libmamba Configuration not found at '/home/travis/.conda/condarc.d'
trace    libmamba Configuration not found at '/home/travis/.conda/condarc'
trace    libmamba Configuration not found at '/home/travis/.conda/.condarc'
trace    libmamba Configuration not found at '/home/travis/micromamba/.mambarc'
trace    libmamba Configuration not found at '/home/travis/micromamba/condarc.d'
trace    libmamba Configuration not found at '/home/travis/micromamba/condarc'
trace    libmamba Configuration not found at '/home/travis/micromamba/.condarc'
trace    libmamba Configuration not found at '/var/lib/conda/.mambarc'
trace    libmamba Configuration not found at '/var/lib/conda/condarc.d/'
trace    libmamba Configuration not found at '/var/lib/conda/condarc'
trace    libmamba Configuration not found at '/var/lib/conda/.condarc'
trace    libmamba Configuration not found at '/etc/conda/.mambarc'
trace    libmamba Configuration not found at '/etc/conda/condarc.d/'
trace    libmamba Configuration not found at '/etc/conda/condarc'
trace    libmamba Configuration not found at '/etc/conda/.condarc'
trace    libmamba Update configurable 'no_env'
trace    libmamba Compute configurable 'file_specs'
critical libmamba filesystem error: cannot make absolute path: Invalid argument []

I do not understand what's wrong from the error message. What informations do you need to debug ?

opened by erwanp 26

ImportError: cannot import name 'init_std_stream_encoding' from 'conda.common.compat'

My mamba install was working fine till now when I suddenly get this today on any mamba command.

❯ mamba
Traceback (most recent call last):
  File "/home/user/miniconda3/bin/mamba", line 11, in <module>
    sys.exit(main())
  File "/home/user/miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 892, in main
    from conda.common.compat import ensure_text_type, init_std_stream_encoding
ImportError: cannot import name 'init_std_stream_encoding' from 'conda.common.compat' (/home/user/miniconda3/lib/python3.9/site-packages/conda/common/compat.py)

opened by Syzygianinfern0 26

No other packages should be installed to base
Troubleshooting docs

[X] My problem is not solved in the Troubleshooting docs

Search tried in issue tracker

only in base environment

Latest version of Mamba

[X] My problem is not solved with the latest version

Tried in Conda?

Not applicable

Describe your issue

Cross-posted here: https://superuser.com/questions/1761379/mamba-no-other-packages-should-be-installed-to-base?noredirect=1#comment2738704_1761379

The mamba documentation says:

No other packages should be installed to base

Installing packages other than Conda and Mamba into the base environment is not supported. Mamba must live in the same environment as Conda, and Conda does not support having packages other than Conda itself and its dependencies in base.

I want to make sure I'm understanding this correctly, as this is different from how I've always set up conda.

Does this mean that from the time I initially install mamba I should only use the base environment for creating other environments? Would I then want to designate some other environment, maybe call it "default," as the one that loads through my linux profile?

Note

Tags for "conda" and "mamba" don't exist yet. Although this is a sysadmin type question, not programming, I'm wondering if I should post instead to stackoverflow?

mamba info / micromamba info

N/A

Logs

N/A

environment.yml

N/A

~/.condarc

N/A
opened by abalter 4

Fix `custom_channels` parsing

Fixes #2204

#2204

In conda, custom_channels:

# condarc

custom_channels:
  name1: https://domain1.com/long/suffix
  name2: https://domain2.com

are resolved as:

Channel.make_simple_channel(Channel(""), "https://domain1.com/long/suffix", "name1")
Channel.make_simple_channel(Channel(""), "https://domain2.com", "name2")

https://github.com/conda/conda/blob/f474462658ef6e3763c1193db0f8edbea01fa5fe/conda/base/context.py#L756-L769

    @memoizedproperty
    def custom_channels(self):
        from ..models.channel import Channel


        return odict(
            (channel.name, channel)
            for channel in (
                *chain.from_iterable(channel for channel in self.custom_multichannels.values()),
                *(
                    Channel.make_simple_channel(self.channel_alias, url, name)
                    for name, url in self._custom_channels.items()
                ),
            )
        )

While mamba resolves them as:

ChannelBuilder::make_simple_channel(Channel(""), join_url("https://domain1.com/long/suffix", "name1"), "", "name1");
ChannelBuilder::make_simple_channel(Channel(""), join_url("https://domain2.com", "name2"), "", "name2");

It set joined URL as the channel_url, set channel_name as an empty string, and set the true name as multi_name.

In make_simple_channel (line 366), the empty channel_name will be set as URLs without the top-domain component:

channel_name = "long/suffix/name1"
channel_name = "name2"

https://github.com/mamba-org/mamba/blob/10a63f125a67b948b4d8fe7f65cd23818cc0a561/libmamba/src/core/channel.cpp#L337-L377

https://github.com/mamba-org/mamba/blob/10a63f125a67b948b4d8fe7f65cd23818cc0a561/libmamba/src/core/channel.cpp#L847-L848

In this PR, the join_url is removed, and set the channel_name directly:

- auto channel = ChannelBuilder::make_simple_channel(m_channel_alias, join_url(url, n), "", n);
+ auto channel = ChannelBuilder::make_simple_channel(m_channel_alias, url, n, "");

opened by XuehaiPan 0

[Bug] `mamba` resolves wrong channels when users set `custom_channels` in `condarc`

Troubleshooting docs

[X] My problem is not solved in the Troubleshooting docs

Search tried in issue tracker

#2179

Latest version of Mamba

[X] My problem is not solved with the latest version

Tried in Conda?

Not reproducible with Conda

Describe your issue

I set custom channel URLs in my condarc with geolocalized mirrors to speed up downloading. I also set force_reinstall: true in my condarc to always make a new installation.

channels:
  - pytorch
  - defaults
  - conda-forge
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
channel_priority: flexible

ssl_verify: true
show_channel_urls: false
report_errors: false

force_reinstall: true

While running:

mamba create -n test pytorch::pytorch -y

it fails to create the environment. I got:

Output of `mamba create -n test pytorch::pytorch -y`


                  __    __    __    __
                 /  \  /  \  /  \  /  \
                /    \/    \/    \/    \
███████████████/  /██/  /██/  /██/  /████████████████████████
              /  / \   / \   / \   / \  \____
             /  /   \_/   \_/   \_/   \    o \__,
            / _/                       \_____/  `
            |/
        ███╗   ███╗ █████╗ ███╗   ███╗██████╗  █████╗
        ████╗ ████║██╔══██╗████╗ ████║██╔══██╗██╔══██╗
        ██╔████╔██║███████║██╔████╔██║██████╔╝███████║
        ██║╚██╔╝██║██╔══██║██║╚██╔╝██║██╔══██╗██╔══██║
        ██║ ╚═╝ ██║██║  ██║██║ ╚═╝ ██║██████╔╝██║  ██║
        ╚═╝     ╚═╝╚═╝  ╚═╝╚═╝     ╚═╝╚═════╝ ╚═╝  ╚═╝

        mamba (1.1.0) supported by @QuantStack

        GitHub:  https://github.com/mamba-org/mamba
        Twitter: https://twitter.com/QuantStack

█████████████████████████████████████████████████████████████


Looking for: ['pytorch::pytorch']

pytorch/linux-64                                              No change
pytorch/noarch                                                No change
anaconda/pkgs/main/noarch                                     No change
anaconda/pkgs/r/linux-64                                      No change
anaconda/pkgs/main/linux-64                                   No change
anaconda/pkgs/msys2/noarch                                    No change
conda-forge/linux-64                                          No change
conda-forge/noarch                                            No change
anaconda/pkgs/r/noarch                                        No change
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cl..            No change
anaconda/pkgs/msys2/linux-64                                  No change
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cl..            No change
Transaction

  Prefix: /home/PanXuehai/Miniconda3/envs/test

  Updating specs:

   - pytorch::pytorch


  Package                 Version  Build            Channel                                                            Size
─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
  Install:
─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

  + _libgcc_mutex             0.1  main             mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + _openmp_mutex             5.1  1_gnu            mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + blas                      1.0  mkl              mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + bzip2                   1.0.8  h7b6447c_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + ca-certificates    2022.10.11  h06a4308_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + certifi             2022.12.7  py310h06a4308_0  mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + flit-core               3.6.0  pyhd3eb1b0_0     mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch           Cached
  + intel-openmp         2022.1.0  h9e868ea_3769    mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64            5MB
  + ld_impl_linux-64         2.38  h1181459_1       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + libffi                  3.4.2  h6a678d5_6       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + libgcc-ng              11.2.0  h1234567_1       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + libgomp                11.2.0  h1234567_1       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + libstdcxx-ng           11.2.0  h1234567_1       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + libuuid                1.41.5  h5eee18b_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + mkl                  2022.1.0  hc2b9512_224     mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64          136MB
  + ncurses                   6.3  h5eee18b_3       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + openssl                1.1.1s  h7f8727e_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + pip                    22.3.1  py310h06a4308_0  mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + python                 3.10.8  h7a1cb2a_1       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + pytorch                1.13.1  py3.10_cpu_0     mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64     Cached
  + pytorch-mutex             1.0  cpu              mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch       Cached
  + readline                  8.2  h5eee18b_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + setuptools             65.5.0  py310h06a4308_0  mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + sqlite                 3.40.0  h5082296_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + tk                     8.6.12  h1ccaba5_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + typing_extensions       4.4.0  py310h06a4308_0  mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + tzdata                  2022g  h04d1e81_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch           Cached
  + wheel                  0.37.1  pyhd3eb1b0_0     mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch           Cached
  + xz                      5.2.8  h5eee18b_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached
  + zlib                   1.2.13  h5eee18b_0       mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64         Cached

  Summary:

  Install: 30 packages

  Total download: 141MB

─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────


intel-openmp                                         4.7MB @   1.9MB/s  2.5s
mkl                                                136.0MB @   3.6MB/s 37.7s


# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<

    Traceback (most recent call last):
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/conda/exceptions.py", line 1118, in __call__
        return func(*args, **kwargs)
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 936, in exception_converter
        raise e
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 929, in exception_converter
        exit_code = _wrapped_main(*args, **kwargs)
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 887, in _wrapped_main
        result = do_call(parsed_args, p)
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 754, in do_call
        exit_code = create(args, parser)
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 630, in create
        return install(args, parser, "create")
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 588, in install
        conda_transaction = to_txn(
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/utils.py", line 443, in to_txn
        return to_txn_precs(
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/utils.py", line 406, in to_txn_precs
        unlink_precs, link_precs = diff_for_unlink_link_precs(
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/conda/core/solve.py", line 1172, in diff_for_unlink_link_precs
        assert prec
    AssertionError

`$ /home/PanXuehai/Miniconda3/bin/mamba create -n test pytorch::pytorch -y`

  environment variables:
                ALL_PROXY=<set>
                 CIO_TEST=<not set>
                CONDA_EXE=/home/PanXuehai/Miniconda3/bin/conda
   CONDA_PYTHONBREAKPOINT=
         CONDA_PYTHON_EXE=/home/PanXuehai/Miniconda3/bin/python
               CONDA_ROOT=/home/PanXuehai/Miniconda3
              CONDA_SHLVL=0
       CPLUS_INCLUDE_PATH=/usr/local/cuda-11.7/include:/usr/local/cuda-11.7/extras/CUPTI/include
           CURL_CA_BUNDLE=<not set>
           C_INCLUDE_PATH=/usr/local/cuda-11.7/include:/usr/local/cuda-11.7/extras/CUPTI/include
                    FPATH=...
                FTP_PROXY=<set>
                   GOPATH=/home/linuxbrew/.linuxbrew/opt/go
              HTTPS_PROXY=<set>
               HTTP_PROXY=<set>
                 INFOPATH=/home/linuxbrew/.linuxbrew/share/info:/home/linuxbrew/.linuxbrew/share
                          /info:
          LD_LIBRARY_PATH=/usr/local/cuda-11.7/lib64:/usr/local/cuda-11.7/extras/CUPTI/lib64:/ho
                          me/PanXuehai/.local/lib
               LD_PRELOAD=<not set>
             LIBRARY_PATH=/usr/local/cuda-11.7/lib64:/usr/local/cuda-11.7/extras/CUPTI/lib64:/ho
                          me/PanXuehai/.local/lib
                  MANPATH=/home/linuxbrew/.linuxbrew/share/man:/home/linuxbrew/.linuxbrew/share/
                          man:::
                     PATH=...
       REQUESTS_CA_BUNDLE=<not set>
            SSL_CERT_FILE=<not set>
                all_proxy=<set>
                ftp_proxy=<set>
               http_proxy=<set>
              https_proxy=<set>

     active environment : None
            shell level : 0
       user config file : /home/PanXuehai/.condarc
 populated config files : /home/PanXuehai/.condarc
          conda version : 22.11.1
    conda-build version : 3.22.0
         python version : 3.9.15.final.0
       virtual packages : __archspec=1=x86_64
                          __glibc=2.31=0
                          __linux=5.15.79.1=0
                          __unix=0=0
       base environment : /home/PanXuehai/Miniconda3  (writable)
      conda av data dir : /home/PanXuehai/Miniconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch
          package cache : /home/PanXuehai/Miniconda3/pkgs
                          /home/PanXuehai/.conda/pkgs
       envs directories : /home/PanXuehai/Miniconda3/envs
                          /home/PanXuehai/.conda/envs
               platform : linux-64
             user-agent : conda/22.11.1 requests/2.28.1 CPython/3.9.15 Linux/5.15.79.1-microsoft-standard-WSL2 ubuntu/20.04.3 glibc/2.31
                UID:GID : 1000:1000
             netrc file : None
           offline mode : False


An unexpected error has occurred. Conda has prepared the above report.

conda works fine with the same arguments:

Output of `conda create -n test pytorch::pytorch -y`

Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

environment location: /home/PanXuehai/Miniconda3/envs/test

added / updated specs:
- pytorch::pytorch


The following NEW packages will be INSTALLED:

_libgcc_mutex      anaconda/pkgs/main/linux-64::_libgcc_mutex-0.1-main
_openmp_mutex      anaconda/pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu
blas               anaconda/pkgs/main/linux-64::blas-1.0-mkl
bzip2              anaconda/pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
ca-certificates    anaconda/pkgs/main/linux-64::ca-certificates-2022.10.11-h06a4308_0
certifi            anaconda/pkgs/main/linux-64::certifi-2022.12.7-py310h06a4308_0
flit-core          anaconda/pkgs/main/noarch::flit-core-3.6.0-pyhd3eb1b0_0
intel-openmp       anaconda/pkgs/main/linux-64::intel-openmp-2022.1.0-h9e868ea_3769
ld_impl_linux-64   anaconda/pkgs/main/linux-64::ld_impl_linux-64-2.38-h1181459_1
libffi             anaconda/pkgs/main/linux-64::libffi-3.4.2-h6a678d5_6
libgcc-ng          anaconda/pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1
libgomp            anaconda/pkgs/main/linux-64::libgomp-11.2.0-h1234567_1
libstdcxx-ng       anaconda/pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1
libuuid            anaconda/pkgs/main/linux-64::libuuid-1.41.5-h5eee18b_0
mkl                anaconda/pkgs/main/linux-64::mkl-2022.1.0-hc2b9512_224
ncurses            anaconda/pkgs/main/linux-64::ncurses-6.3-h5eee18b_3
openssl            anaconda/pkgs/main/linux-64::openssl-1.1.1s-h7f8727e_0
pip                anaconda/pkgs/main/linux-64::pip-22.3.1-py310h06a4308_0
python             anaconda/pkgs/main/linux-64::python-3.10.8-h7a1cb2a_1
pytorch            pytorch/linux-64::pytorch-1.13.1-py3.10_cpu_0
pytorch-mutex      pytorch/noarch::pytorch-mutex-1.0-cpu
readline           anaconda/pkgs/main/linux-64::readline-8.2-h5eee18b_0
setuptools         anaconda/pkgs/main/linux-64::setuptools-65.5.0-py310h06a4308_0
sqlite             anaconda/pkgs/main/linux-64::sqlite-3.40.0-h5082296_0
tk                 anaconda/pkgs/main/linux-64::tk-8.6.12-h1ccaba5_0
typing_extensions  anaconda/pkgs/main/linux-64::typing_extensions-4.4.0-py310h06a4308_0
tzdata             anaconda/pkgs/main/noarch::tzdata-2022g-h04d1e81_0
wheel              anaconda/pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
xz                 anaconda/pkgs/main/linux-64::xz-5.2.8-h5eee18b_0
zlib               anaconda/pkgs/main/linux-64::zlib-1.2.13-h5eee18b_0



Downloading and Extracting Packages

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate test
#
# To deactivate an active environment, use
#
#     $ conda deactivate

In conda/core/solve.py, it does an extra check when force_reinstall is true:

https://github.com/conda/conda/blob/f474462658ef6e3763c1193db0f8edbea01fa5fe/conda/core/solve.py#L1163-L1169

    # If force_reinstall is enabled, make sure any package in specs_to_add is unlinked then
    # re-linked
    if force_reinstall:
        for spec in specs_to_add:
            prec = next((rec for rec in final_precs if spec.match(rec)), None)
            assert prec
            _add_to_unlink_and_link(prec)

The program fails at assert prec.

After removing some irrelevant content, the value of specs_to_add and final_precs are different solved by conda (green) and mamba (red):

-specs_to_add: [MatchSpec("pytorch::pytorch")]
+specs_to_add: frozenset({MatchSpec("pytorch::pytorch")})
 final_precs: IndexedSet([
     PackageRecord(name='pytorch-mutex',
         version='1.0',
         build='cpu',
         build_number=0,
-        channel=Channel("anaconda/cloud/pytorch/noarch"),
+        channel=Channel("pytorch/noarch"),
         subdir='noarch',
         fn='pytorch-mutex-1.0-cpu.tar.bz2',
         md5='49565ed726991fd28d08a39885caa88d',
         url='https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch/pytorch-mutex-1.0-cpu.tar.bz2',
         sha256='d48c964188ca49660d750cffd73698d217cf94e694cd51987f9f186425435e76',
+        arch=None,
+        platform=None,
         depends=(),
-        constrains=(),
         track_features=('pytorch-mutex',),
-        license='',
+        noarch='generic',
         size=2897
     ),
     PackageRecord(name='pytorch',
         version='1.13.1',
         build='py3.10_cpu_0',
         build_number=0,
-        channel=Channel("anaconda/cloud/pytorch/linux-64"),
+        channel=Channel("pytorch/linux-64"),
         subdir='linux-64',
         fn='pytorch-1.13.1-py3.10_cpu_0.tar.bz2',
         md5='61a620aec1253656c1e8eaaf5e842f0f',
         url='https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64/pytorch-1.13.1-py3.10_cpu_0.tar.bz2',
         sha256='7e78247a77c24409553ec11dff114049019631d6f25c4bc9f6a41c983cb80275',
+        arch=None,
+        platform=None,
         depends=(
             'blas * mkl',
             'mkl >=2018',
             'python >=3.10,<3.11.0a0',
             'pytorch-mutex 1.0 cpu',
             'typing_extensions'
         ),
         constrains=('cpuonly',),
-        track_features=(),
         license='BSD 3-Clause',
+        license_family='BSD',
         size=85592222
     ),
     ...
 ])

mamba solves the channel as Channel("anaconda/cloud/pytorch/noarch") while conda outputs Channel("pytorch/noarch").

mamba info / micromamba info

                  __    __    __    __
                 /  \  /  \  /  \  /  \
                /    \/    \/    \/    \
███████████████/  /██/  /██/  /██/  /████████████████████████
              /  / \   / \   / \   / \  \____
             /  /   \_/   \_/   \_/   \    o \__,
            / _/                       \_____/  `
            |/
        ███╗   ███╗ █████╗ ███╗   ███╗██████╗  █████╗
        ████╗ ████║██╔══██╗████╗ ████║██╔══██╗██╔══██╗
        ██╔████╔██║███████║██╔████╔██║██████╔╝███████║
        ██║╚██╔╝██║██╔══██║██║╚██╔╝██║██╔══██╗██╔══██║
        ██║ ╚═╝ ██║██║  ██║██║ ╚═╝ ██║██████╔╝██║  ██║
        ╚═╝     ╚═╝╚═╝  ╚═╝╚═╝     ╚═╝╚═════╝ ╚═╝  ╚═╝

        mamba (1.1.0) supported by @QuantStack

        GitHub:  https://github.com/mamba-org/mamba
        Twitter: https://twitter.com/QuantStack

█████████████████████████████████████████████████████████████


     active environment : None
            shell level : 0
       user config file : /home/PanXuehai/.condarc
 populated config files : /home/PanXuehai/.condarc
          conda version : 22.11.1
    conda-build version : not installed
         python version : 3.9.15.final.0
       virtual packages : __archspec=1=x86_64
                          __cuda=12.0=0
                          __glibc=2.31=0
                          __linux=5.15.0=0
                          __unix=0=0
       base environment : /home/PanXuehai/Miniconda3  (writable)
      conda av data dir : /home/PanXuehai/Miniconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch
          package cache : /home/PanXuehai/Miniconda3/pkgs
                          /home/PanXuehai/.conda/pkgs
       envs directories : /home/PanXuehai/Miniconda3/envs
                          /home/PanXuehai/.conda/envs
               platform : linux-64
             user-agent : conda/22.11.1 requests/2.28.1 CPython/3.9.15 Linux/5.15.0-56-generic ubuntu/20.04.5 glibc/2.31
                UID:GID : 1000:1000
             netrc file : /home/PanXuehai/.netrc
           offline mode : False

Logs

# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<

    Traceback (most recent call last):
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/conda/exceptions.py", line 1118, in __call__
        return func(*args, **kwargs)
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 936, in exception_converter
        raise e
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 929, in exception_converter
        exit_code = _wrapped_main(*args, **kwargs)
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 887, in _wrapped_main
        result = do_call(parsed_args, p)
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 754, in do_call
        exit_code = create(args, parser)
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 630, in create
        return install(args, parser, "create")
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/mamba.py", line 588, in install
        conda_transaction = to_txn(
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/utils.py", line 443, in to_txn
        return to_txn_precs(
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/mamba/utils.py", line 406, in to_txn_precs
        unlink_precs, link_precs = diff_for_unlink_link_precs(
      File "/home/PanXuehai/Miniconda3/lib/python3.9/site-packages/conda/core/solve.py", line 1172, in diff_for_unlink_link_precs
        assert prec
    AssertionError

`$ /home/PanXuehai/Miniconda3/bin/mamba create -n test pytorch::pytorch -y`

  environment variables:
                ALL_PROXY=<set>
                 CIO_TEST=<not set>
                CONDA_EXE=/home/PanXuehai/Miniconda3/bin/conda
   CONDA_PYTHONBREAKPOINT=
         CONDA_PYTHON_EXE=/home/PanXuehai/Miniconda3/bin/python
               CONDA_ROOT=/home/PanXuehai/Miniconda3
              CONDA_SHLVL=0
       CPLUS_INCLUDE_PATH=/usr/local/cuda-11.7/include:/usr/local/cuda-11.7/extras/CUPTI/include
           CURL_CA_BUNDLE=<not set>
           C_INCLUDE_PATH=/usr/local/cuda-11.7/include:/usr/local/cuda-11.7/extras/CUPTI/include
                    FPATH=...
                FTP_PROXY=<set>
                   GOPATH=/home/linuxbrew/.linuxbrew/opt/go
              HTTPS_PROXY=<set>
               HTTP_PROXY=<set>
                 INFOPATH=/home/linuxbrew/.linuxbrew/share/info:/home/linuxbrew/.linuxbrew/share
                          /info:
          LD_LIBRARY_PATH=/usr/local/cuda-11.7/lib64:/usr/local/cuda-11.7/extras/CUPTI/lib64:/ho
                          me/PanXuehai/.local/lib
               LD_PRELOAD=<not set>
             LIBRARY_PATH=/usr/local/cuda-11.7/lib64:/usr/local/cuda-11.7/extras/CUPTI/lib64:/ho
                          me/PanXuehai/.local/lib
                  MANPATH=/home/linuxbrew/.linuxbrew/share/man:/home/linuxbrew/.linuxbrew/share/
                          man:::
                     PATH=...
       REQUESTS_CA_BUNDLE=<not set>
            SSL_CERT_FILE=<not set>
                all_proxy=<set>
                ftp_proxy=<set>
               http_proxy=<set>
              https_proxy=<set>

     active environment : None
            shell level : 0
       user config file : /home/PanXuehai/.condarc
 populated config files : /home/PanXuehai/.condarc
          conda version : 22.11.1
    conda-build version : 3.22.0
         python version : 3.9.15.final.0
       virtual packages : __archspec=1=x86_64
                          __glibc=2.31=0
                          __linux=5.15.79.1=0
                          __unix=0=0
       base environment : /home/PanXuehai/Miniconda3  (writable)
      conda av data dir : /home/PanXuehai/Miniconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch
          package cache : /home/PanXuehai/Miniconda3/pkgs
                          /home/PanXuehai/.conda/pkgs
       envs directories : /home/PanXuehai/Miniconda3/envs
                          /home/PanXuehai/.conda/envs
               platform : linux-64
             user-agent : conda/22.11.1 requests/2.28.1 CPython/3.9.15 Linux/5.15.79.1-microsoft-standard-WSL2 ubuntu/20.04.3 glibc/2.31
                UID:GID : 1000:1000
             netrc file : None
           offline mode : False


An unexpected error has occurred. Conda has prepared the above report.

environment.yml

No response

~/.condarc

channels:
  - pytorch
  - defaults
  - conda-forge
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
channel_priority: flexible

ssl_verify: true
show_channel_urls: false
report_errors: false

force_reinstall: true

bug

opened by XuehaiPan 1

Micromamba unable to install from url

Troubleshooting docs

[X] My problem is not solved in the Troubleshooting docs

Search tried in issue tracker

micromamba install url

Latest version of Mamba

[X] My problem is not solved with the latest version

Tried in Conda?

Not reproducible with Conda

Describe your issue

I'm unable to install a package using the URL, the same URL works with Conda

Not working:

micromamba install https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/linux-64/faiss-gpu-1.7.3-py3.9_h28a55e0_0_cuda11.3.tar.bz2

                                       __
      __  ______ ___  ____ _____ ___  / /_  ____ _
     / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
    / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
   / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
  /_/

https://anaconda.org/pytorch/faiss-gpu/1.7.3/dow.. 3.3kB @ 4.8kB/s 404 failed 0.7s critical libmamba Multiple errors occured: Multi-download failed. Reason: Transfer finalized, status: 404 [https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/noarch/repodata.json] 3283 bytes Subdir https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/noarch not loaded!

Working:

conda install https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/linux-64/faiss-gpu-1.7.3-py3.9_h28a55e0_0_cuda11.3.tar.bz2

Downloading and Extracting Packages faiss-gpu-1.7.3 | ############################################################################################################################################### | 100% Preparing transaction: done Verifying transaction: done Executing transaction: done

mamba info / micromamba info

__
          __  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/


            environment : test (active)
           env location : /opt/micromamba/envs/test
      user config files : /root/.mambarc
 populated config files : 
       libmamba version : 1.1.0
     micromamba version : 1.1.0
           curl version : libcurl/7.86.0 OpenSSL/1.1.1s zlib/1.2.13 libssh2/1.10.0 nghttp2/1.47.0
     libarchive version : libarchive 3.6.1 zlib/1.2.13 bz2lib/1.0.8 libzstd/1.5.2
       virtual packages : __unix=0=0
                          __linux=5.15.0=0
                          __glibc=2.35=0
                          __archspec=1=x86_64
               channels : 
       base environment : /opt/micromamba
               platform : linux-64

Logs

__  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/

info     libmamba Parsing MatchSpec https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/linux-64/faiss-gpu-1.7.3-py3.9_h28a55e0_0_cuda11.3.tar.bz2
info     libmamba Searching index cache file for repo 'https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/linux-64/repodata.json'
info     libmamba No valid cache found
info     libmamba Using OpenSSL backend
info     libmamba Searching index cache file for repo 'https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/noarch/repodata.json'
info     libmamba No valid cache found
info     libmamba Starting to download targets
[+] 0.4s
https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/linux-64 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━╸━━━━━━━━━   0.0 B /  ??.?MB @  ??.?MB/s  0.4s
https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/noarch   ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━   0.0 B /  ??.?MB @  ??.?MB/s  0.4sinfo     libmamba Transfer done for 'https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/linux-64'
https://anaconda.org/pytorch/faiss-gpu/1.7.3/dow..   3.3kB @   7.0kB/s 404 failed  0.5s
[+] 0.5s
https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/noarch ━━━━━╸━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━   0.0 B /  ??.?MB @  ??.?MB/s  0.5sinfo     libmamba Transfer done for 'https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/noarch'
info     libmamba Transfer finalized, status: 404 [https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/noarch/repodata.json] 3284 bytes
https://anaconda.org/pytorch/faiss-gpu/1.7.3/dow..   3.3kB @   5.7kB/s 404 failed  0.6s
info     libmamba Freeing pool.
critical libmamba Multiple errors occured:
    Multi-download failed. Reason: Transfer finalized, status: 404 [https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/noarch/repodata.json] 3284 bytes
    Subdir https://anaconda.org/pytorch/faiss-gpu/1.7.3/download/noarch not loaded!

environment.yml

No response

~/.condarc

cat: /root/.condarc: No such file or directory

bug

opened by urucoder 3

Micromamba install ignoring --no-deps parameter

Troubleshooting docs

[X] My problem is not solved in the Troubleshooting docs

Search tried in issue tracker

micromamba --no-deps

Latest version of Mamba

[X] My problem is not solved with the latest version

Tried in Conda?

Not reproducible with Conda

Describe your issue

Micromamba install is ignoring --no-deps parameter. The same package installation is working using conda

Not working:

micromamba install --no-deps libfaiss=1.7.3=hfc2d529_0_cuda11.3 faiss-gpu=1.7.3=py3.9_h28a55e0_0_cuda11.3 -c pytorch

                                       __
      __  ______ ___  ____ _____ ___  / /_  ____ _
     / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
    / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
   / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
  /_/

pytorch/linux-64 Using cache pytorch/noarch Using cache

Pinned packages:

python 3.9.*

error libmamba Could not solve for environment specs Encountered problems while solving: - nothing provides cudatoolkit >=11.3.1,<11.4.0a0 needed by libfaiss-1.7.3-hfc2d529_0_cuda11.3 - nothing provides cudatoolkit >=11.3.1,<11.4.0a0 needed by libfaiss-1.7.3-hfc2d529_0_cuda11.3

The environment can't be solved, aborting the operation

critical libmamba Could not solve for environment specs

Working:

conda install --no-deps libfaiss=1.7.3=hfc2d529_0_cuda11.3 faiss-gpu=1.7.3=py3.9_h28a55e0_0_cuda11.3 -c pytorch

mamba info / micromamba info

__
          __  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/


            environment : test (active)
           env location : /opt/micromamba/envs/test
      user config files : /root/.mambarc
 populated config files : 
       libmamba version : 1.1.0
     micromamba version : 1.1.0
           curl version : libcurl/7.86.0 OpenSSL/1.1.1s zlib/1.2.13 libssh2/1.10.0 nghttp2/1.47.0
     libarchive version : libarchive 3.6.1 zlib/1.2.13 bz2lib/1.0.8 libzstd/1.5.2
       virtual packages : __unix=0=0
                          __linux=5.15.0=0
                          __glibc=2.35=0
                          __archspec=1=x86_64
               channels : 
       base environment : /opt/micromamba
               platform : linux-64

Logs

__
          __  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/

info     libmamba Parsing MatchSpec libfaiss=1.7.3=hfc2d529_0_cuda11.3
info     libmamba Parsing MatchSpec faiss-gpu=1.7.3=py3.9_h28a55e0_0_cuda11.3
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/pytorch/linux-64/repodata.json'
info     libmamba Found cache at '/opt/micromamba/pkgs/cache/ee0ed9e9.json'
pytorch/linux-64                                            Using cache
info     libmamba Searching index cache file for repo 'https://conda.anaconda.org/pytorch/noarch/repodata.json'
info     libmamba Found cache at '/opt/micromamba/pkgs/cache/edb1952f.json'
pytorch/noarch                                              Using cache
info     libmamba All targets to download are cached
info     libmamba Reading cache files '/opt/micromamba/pkgs/cache/ee0ed9e9.*' for repo index 'https://conda.anaconda.org/pytorch/linux-64'
info     libmamba Reading cache files '/opt/micromamba/pkgs/cache/edb1952f.*' for repo index 'https://conda.anaconda.org/pytorch/noarch'
info     libmamba Adding package record to repo __archspec
info     libmamba Adding package record to repo __glibc
info     libmamba Adding package record to repo __linux
info     libmamba Adding package record to repo __unix
info     libmamba Parsing MatchSpec libfaiss=1.7.3=hfc2d529_0_cuda11.3
info     libmamba Parsing MatchSpec libfaiss=1.7.3=hfc2d529_0_cuda11.3
info     libmamba Adding job: libfaiss 1.7.3 hfc2d529_0_cuda11.3
info     libmamba Parsing MatchSpec faiss-gpu=1.7.3=py3.9_h28a55e0_0_cuda11.3
info     libmamba Parsing MatchSpec faiss-gpu=1.7.3=py3.9_h28a55e0_0_cuda11.3
info     libmamba Adding job: faiss-gpu 1.7.3 py3.9_h28a55e0_0_cuda11.3
info     libmamba Problem count: 2
error    libmamba Could not solve for environment specs
    Encountered problems while solving:
      - nothing provides mkl >=2018 needed by libfaiss-1.7.3-hfc2d529_0_cuda11.3
      - nothing provides python >=3.9,<3.10.0a0 needed by faiss-gpu-1.7.3-py3.9_h28a55e0_0_cuda11.3
    
    The environment can't be solved, aborting the operation
    
info     libmamba Freeing solver.
info     libmamba Freeing pool.
critical libmamba Could not solve for environment specs

environment.yml

No response

~/.condarc

cat: /root/.condarc: No such file or directory

bug

opened by urucoder 5

Mamba CI should definitely not be based on the feedstock

The static builds of micromamba should be based on the sources of this repo only, not on the micromamba feedstock (and even worse, on a psersonal fork of the micromamba feedstock). This is a circular dependency between those two repos that complicates things, especially dependencies update and release process (you need to patch the feedstock in the CI until the feedstock is up to date and then remove the patch).

opened by JohanMabille 2

Releases(2022.11.01)

2022.11.01(Nov 1, 2022)
Date: 2022.11.01 Releases: libmamba 1.0.0, libmambapy 1.0.0, mamba 1.0.0, micromamba 1.0.0

Our biggest version number yet! Finally a 1.0 release :)

New notable micromamba features include:

improved shell scripts with autocompletion available in PowerShell, xonsh, fish, bash and zsh

micromamba shell -n someenv: enter a sub-shell without modifying the system

micromamba self-update: micromamba searches for updates and installs them if available (you can also downgrade using --version 0.26.0 for example)

Bug fixes:

[micromamba, libmamba] ignore "Permission denied" in env::which (thanks @Rafflesiaceae) #2067

[micromamba] Link micromamba with static libc++.a and system libc++abi (thanks @isuruf) #2069

[libmamba, micromamba] Fix an infinite loop in replace_all() when the search string is empty (thanks @tsibley)

[mamba, libmambapy] Ensure package record always has subdir (thanks @jaimergp) #2016

[libmamba, micromamba] Do not crash when permissions cannot be changed, instead log warning (thanks @hwalinga)

Enhancements:

[libmamba] Rewrite LockFile interface (thanks @Klaim) #2014

[micromamba] Add micromamba env remove (thanks @Hind-M) #2002

[micromamba] add self-update functionality (#2023)

[micromamba] order dependencies alphabetically from micromamba env export (thanks @torfinnberset) #2063

[libmambapy] add stubs with pybind11-stubgen (thanks @dholth) #1983

[mamba] Support for mamba init fish (thanks @dlukes) #2006

[mamba] Fix Repoquery help text (thanks @BastianZim) #1998

[all] Fix ci deprecation warnings, upload conda-bld artifacts for failed builds #2058, #2062 (thanks @pavelzw)

[all] Explicitly define SPDLOG_FMT_EXTERNAL and use spdlog header only use external fmt (thanks @AntoinePrv) #2060, #2048

[all] Fix CI by pointing to updated feedstock and fixing update tests (thanks @AntoinePrv) #2055

[all] Add authentication with urlencoded @ to proxy test (#2024) @AdrianFreundQC

[all] better test isolation (thanks @AntoinePrv) #1903

[all] Test special characters in basic auth (thanks @jonashaag) #2012

[libmamba] ProblemsGraph compression (thanks @AntoinePrv) #2019

[libmamba] vector_set compare function (thanks @AntoinePrv) #2051

[libmamba] Clean up util_graph header and tests (thanks @AntoinePrv) #2039

[libmamba] Add string utilities (thanks @AntoinePrv) #

[libmamba] Dynamic tree walk of the Compressed problem graph

[libmamba] Creating the initial problems graph (thanks @syslaila) #1891

Source code(tar.gz)
Source code(zip)
2022.10.04(Oct 5, 2022)

Date: 2022.10.04

Releases: libmamba 0.27.0, libmambapy 0.27.0, mamba 0.27.0, micromamba 0.27.0

Bug fixes:

[libmamba, micromamba] fix lockfiles relying on PID (thanks @Klaim) #1915 [micromamba] fix error condition in micromamba run to not print warning every time #1985 [micromamba] fix error when getting size of directories (thanks @Klaim) #1982 [micromamba] fix crash when installing pip packages from env files (thanks @Klaim) #1978 [libmambapy] make compilation with external fmt library work #1987 Enhancements:

[micromamba] add cross-compiled builds to CI (thanks @pavelzw) #1976, #1989
Source code(tar.gz)
Source code(zip)
2022.09.30(Sep 30, 2022)
Date: 2022.09.29

Releases: libmamba 0.26.0, libmambapy 0.26.0, mamba 0.26.0, micromamba 0.26.0

Bug fixes:

[micromamba] fix fish scripts (thanks @jonashaag) #1975

[micromamba] fix issues with micromamba ps #1953

[libmamba, micromamba] add symlinks and empty directories to archive for micromamba package compress #1955

[mamba] fix mamba.sh and mamba.bat shell scripts to work with conda 22.09 #1952

[libmamba] increase curl buffer size for faster max download speeds (thanks @jonashaag) #1949

[micromamba] add micromamba info --licenses to print licenses of used OSS (thanks @jonashaag) #1933

[micromamba] proper quoting in micromamba run (thanks @jonashaag) #1936

[micromamba] install pip dependencies and by category for YAML lockfiles (thanks @jvansanten) #1908 #1917

[libmamba] fix crash when installing from environment lockfile (thanks @Klaim) #1893

[micromamba] fix update for packages with explicit channels (thanks @AntoinePrv) #1864

[libmamba] fix linux version regex (thanks @kelszo) #1852

[libmamba] remove duplicate console output (thanks @pavelzw) #1845

[mamba] remove usage of non-existing function (thanks @AntoinePrv) #1835

Enhancements:

[libmamba] add option to disable file locks globally (thanks @danpf @JohanMabille) #1830

[libmamba] extend graph class for better solver messaging work (thanks @syslaila @AntoinePrv) #1880

[micromamba] only call compinit once to fix oh-my-zsh (thanks @AntoinePrv) #1911

[libmamba] use std::filesystem instead of ghc::filesystem (thanks @Klaim) #1665

[libmamba] add missing SolverRuleInfo enum entries (thanks @AntoinePrv) #1833

[micromamba] CI: add fully static micromamba build (thanks @jonashaag) #1821

[mamba, micromamba] allow configuring proxies (thanks @AdrianFreundQC) #1841

Source code(tar.gz)
Source code(zip)
2022.07.26(Jul 26, 2022)
2022.07.26

Releases: libmamba 0.25.0, libmambapy 0.25.0, mamba 0.25.0, micromamba 0.25.0

Bug fixes:

[micromamba] fix pip execution in environments with spaces (thanks @chaubold) #1815

[mamba] keep Pool alive for the lifetime of the solver (thanks @AntoinePrv) #1804

[micromamba] Fix shell init --dry-run (thanks @jonashaag) #1767

[mamba] print banner to stderr and do not print banner with mamba run (thanks @jonashaag) #1810

[micromamba] Change exit(1) to throw exceptions instead (thanks @jonashaag) #1792

[libmamba] Make lockfiles less noisy (thanks @Klaim) #1750

[libmamba] Make clobber warnings less noisy #1764

[libmamba] Do not ever log password in plain text (thanks @AntoinePrv) #1776

Enhancements:

[libmambapy] Add missing SOLVER_RULE_PKG_CONSTRAINS ruleinfo in libmambapy bindings (thanks @syslaila) #1823

[libmamba, libmambapy] Add safe id2pkginfo (thanks @AntoinePrv) #1822

[libmambapy] Change PackageInfo value mutability and add named arguments (thanks @AntoinePrv) #1822

[libmamba, micromamba] add handling of different tokens for channels on same host (thanks @AntoinePrv) #1784

[all] better test isolation (thanks @AntoinePrv) #1791

[micromamba] Add deinit shell command (thanks @pavelzw) #1781

[all] Add nodefaults handling to libmamba (thanks @AdrianFreundQC) #1773

[micromamba] Fix micromamba Windows download instructions (thanks @jonashaag) #1793

[libmamba, libmambapy] Add utilities for better error reporting and refactor Queue #1789

[micromamba] Better error message if root prefix is not a directory #1792

[libmamba] Do not modify string during sregex iteration (thanks @jonashaag) #1768

[libmamba] Better error message for invalid .condarc file (thanks @jonashaag) #1765

[libmamba] Tweak is_writable() (thanks @Klaim) #1750

[libmamba] Allow for external fmt library (thanks @gdolle) #1732

[libmamba] Remove error message when touch fails #1747

[libmamba] Log the exception that caused configuration parsing failure (thanks @johnhany97) #1755

[mamba, micromamba] Make --use-index-cache option work (thanks @AdrianFreundQC) #1762

[micromaba] Do not truncate channel url in micromamba env export (thanks @nstinus) #1733

[libmamba] Fix MSVC warnings (thanks @Klaim) #1721

[all] Test improvements (thanks @AntoinePrv) #1777, #1778

Source code(tar.gz)
Source code(zip)
2022.05.31(Jun 1, 2022)
Date: 2022.05.31

Releases: libmamba 0.24.0, libmambapy 0.24.0, mamba 0.24.0, micromamba 0.24.0

Bug fixes:

[micromamba] constructor now uses proper (patched) repodata to create repodata_record.json files #1698

[libmamba, micromamba] use fmt::format for pretty printing in micromamba search --pretty #1710

[mamba] remove flag from clean subcommand that conflicts with conda (mamba clean -l, use --lock instead) #1709

[libmamba] commit fix for compiling with ppc64le on conda-forge #1695

Source code(tar.gz)
Source code(zip)
2022.05.20(May 20, 2022)

Date: 2022.05.20

Releases: libmamba 0.23.3, libmambapy 0.23.3, mamba 0.23.3, micromamba 0.23.3

Bug fixes

[micromamba] Fix summing behavior of -v flags #1690 [all] fix curl callback to not exit anymore but report a proper error #1684 [micromamba] fix up explicit installation by using proper variables #1677 [libmamba] fix channel prefix test (thanks @jonashaag) #1674 [mamba] fix strict priority for mamba create env ... #1688 Improvements

[micromamba] make clean_force_pkgs respect -y flag (thanks @Patricol) #1686 [libmamba] various Windows / CMake improvements #1683 [libmamba] various warnings fixed on Windows and Unix #1683, 1691 [libmamba] fix yaml-cpp linkage #1678
Source code(tar.gz)
Source code(zip)
2022.05.12(May 20, 2022)

Date: 2022.05.12

Releases: micromamba 0.23.2

Bug fixes

[micromamba] Fix a bug with platform replacement in URLs #1670
Source code(tar.gz)
Source code(zip)
2022.05.11(May 20, 2022)

Date: 2022.05.11

Releases: libmamba 0.23.1, libmambapy 0.23.1, mamba 0.23.1, micromamba 0.23.1

Bug fixes

[micromamba] Fix powershell unset of env vars (thanks @chawyeshu) #1668 [all] Fix thread clean up and singleton destruction order (thanks @Klaim) #1666, #1620 [all] Show reason for multi-download failure (thanks @syslaila) #1652 [libmamba] Fix platform splitting to work with unknown platforms #1662 [libmamba] Create prefix before writing the config file #1662 [libmamba] Retry HTTP request on 413 & 429, respect Retry-After header (thanks @kenodegard) #1661 [mamba] Add high-level Python API (thanks @martinRenou) #1656 [libmamba] Initialize curl (thanks @Klaim) #1648 [libmamba] Replace thread detaching by thread joining before main's end (thanks @Klaim) #1637
Source code(tar.gz)
Source code(zip)
2022.04.21(Apr 26, 2022)
Date: 2022.04.21

Releases: libmamba 0.23.0, libmambapy 0.23.0, mamba 0.23.0, micromamba 0.23.0

This release uses tl::expected for some improvements in the error handling. We also cleaned the API a bit and did some refactorings to make the code compile faster and clean up headers.

Bug fixes

[micromamba] Do not clean env when running post-link scripts (fixes Qt install on Windows) #1630

[micromamba] Fix powershell activation in strict mode (thanks @mkessler) #1633

Enhancements

[micromamba] Add micromamba auth login / logout commands

[micromamba] Add support for new conda-lock yml file format (thanks @Klaim) #1577

[libmamba, libmambapy] Make user agent configurable through Context

[micromamba] Use cli11 2.2.0 #1626

[libmamba] Correct header casing for macOS (thanks @l2dy) #1613

[libmamba] Log the thrown error when validating cache (thanks @johnhany97) #1608

[all] Use sscache to speed up builds (thanks @jonashaag) #1606

[all] Upgrade black

[micromamba, libmamba] Use bin2header to inline the various scripts (thanks @jonashaag) #1601

[micromamba] Fix JSON output issues (thanks @Klaim) #1600

[all] Refactor the include chain, headers cleanup (thanks @JohanMabille) #1588, #1592, #1590

[mamba] Remove import of init_std_stream_encoding (thanks @jezdez) #1589

[all] Refactor error handling (thanks @JohanMabille) #1579

[libmamba] Do not store multi pkgs cache in subdir anymore #1572

[libmambapy] Add structured problem extraction #1570, #1566

[micromamba] Add tests for micromamba run (thanks @Klaim) #1564

[libmamba, libmambapy] Add API to remove repo from pool

[libmamba] Store channel in subdirdata and libsolv repo appdata

[libmamba] Remove prefixdata.load() #1555

[libmamba] Remove prefixdata from solver interface #1550

[micromamba] Also complete for micromamba deactivate #1577

Source code(tar.gz)
Source code(zip)
2022.02.28(Apr 26, 2022)
2022.02.28

Releases: libmamba 0.22.1, libmambapy 0.22.1, mamba 0.22.1

Bug fixes

[mamba] Properly add noarch to package record to force recompilation #1545

Source code(tar.gz)
Source code(zip)
2022.02.25(Apr 26, 2022)
Date: 2022.02.25

Releases: libmamba 0.22.0, libmambapy 0.22.0, mamba 0.22.0, micromamba 0.22.0

Bug fixes

[libmamba, mamba, micromamba] Add noarch recompilation step for mamba and micromamba #1511

[micromamba] Add --force-reinstall, --only-deps and --no-deps to micromamba #1531

[micromamba] Tolerate PATH being unset better (thanks @chrisburr) #1532

Improvements

[micromamba] Add --label option to micromamba run and automatically generate process names otherwise (thanks @Klaim) #1491, #1530, #1529

[libmamba] Remove compile time warnings by updating deprecated openssl functions #1509

[micromamba] Add search as an alias for repoquery search (thanks @JohanMabille) #1510

[micromamba] Fix repoquery search not working outside activated environment (thanks @JohanMabille) #1510

[micromamba] Refactor configuration system (thanks @JohanMabille) #1500

[libmamba] Use custom debug callback from libcurl and libsolv (routed through spdlog) #1507

[libmamba] Refactor Channel implementation (thanks @JohanMabille) #1537

[libmamba] Hide tokens in libcurl and libsolv as well (and remove need for --experimental flag to load tokens) #1538

[libmamba] Pass through QEMU_LD_PREFIX to subprocesses (thanks @chrisburr) #1533

[micromamba] Fix segfault on Linux with "fake" micromamba activate command #1496

Source code(tar.gz)
Source code(zip)
2022.02.11(Feb 11, 2022)
Date: 2022.02.11

Releases: libmamba 0.21.1, libmambapy 0.21.1, mamba 0.21.1, micromamba 0.21.1

Bug fixes

[libmamba] Adjust cache url hashing and header data parsing #1482

[libmamba] Properly strip header of \r\n before adding to repodata.json cache #1482

[micromamba] Revert removal of environment variables when running pip (thanks @austin1howard) #1477

[mamba] Fix undefined transaction when creating env with no specs #1460

Improvements

[micromamba] Add micromamba config --json (thanks @JohanMabille) #1484

[mamba,micromamba,libmamba] Adjustments for the progress bars, make better visible on light backgrounds #1458

[mamba] Refer to mamba activate for activation hint #1462

[micromamba] Micromamba run add --clean-env and -e,--env handling to pass in environment variables #1464

[mamba] Mention in help message that mamba activate and deactivate are supported (thanks @traversaro) #1476

[micromamba] Disable banner with micromamba run #1474

Source code(tar.gz)
Source code(zip)
2022.02.07(Feb 7, 2022)
Date 2022.02.07

Releases: libmamba 0.21.0, libmambapy 0.21.0, mamba 0.21.0, micromamba 0.21.0

Bug fixes

[libmamba] generate PkgMgr role file from its file definition #1408

[micromamba] fix crash with missing CONDARC file (thanks @jonashaag) #1417

[micromamba] fix micromamba --log-level (thanks @jonashaag) #1417

[micromamba] Fix erroneous error print when computing SHA256 of missing symlink #1412

[micromamba] Add -n flag handling to micromamba activate #1411

[micromamba] Refactor configuration loading and create file if it doesn't exist when setting values #1420

[libmamba] Fix a regex segfault in history parsing #1441

[libmamba] Add test for segfault history parsing #1444 (thanks @jonashaag)

[micromamba] Improve shell scripts when ZSH_VERSION is unbound #1440

[micromamba] Return error code when pip install fails from environment.yml #1442

Improvements

[all] Update pre-commit versions (thanks @jonashaag) #1417

[all] Use clang-format from pypi (thanks @chrisburr) #1430

[all] Incremental ccache updates (thanks @jonashaag) #1445

[micromamba] Substitute environment vars in .condarc files (thanks @jonashaag) #1423

[micromamba, libmamba] Speed up noarch compilation (thanks @chrisburr) #1422

[mamba] Include credentials for defaults channel URLs (thanks @wulmer) #1421

[micromamba, libmamba] New fancy progress bars! (thanks @adriendelsalle) #1426, #1350

[libmamba] Refactor how we set env vars in the Context #1426

[micromamba] Add micromamba run command (thanks @JohanMabille) #1380, #1395, #1406, #1438, #1434

[micromamba] Add -f for micromamba clean command (thanks @JohanMabille) #1449

[micromamba] Add improved micromamba update --all #1318

[micromamba] Add micromamba repoquery command #1318

Source code(tar.gz)
Source code(zip)
2022.01.25(Jan 25, 2022)
Date: 2021.01.25

Releases: libmamba 0.20.0, libmambapy 0.20.0, mamba 0.20.0, micromamba 0.20.0

Bug fixes

[libmamba] Close file before retry & deletion when downloading subdir (thanks @xhochy) #1373

[micromamba] Fix micromamba init & conda init clobber (thanks @maresb) #1357

[micromamba] Rename mamba.sh to micromamba.sh for better compatibility between mamba & micromamba (thanks @maresb) #1355

[micromamba] Print activate error to stderr (thanks @maresb) #1351

Improvements

[micromamba, libmamba] Store platform when creating env with --platform=... (thanks @adriendelsalle) #1381

[libmamba] Add environment variable to disable low speed limit (thanks @xhochy) #1380

[libmamba] Make max download threads configurable (thanks @adriendelsalle) #1377

[micromamba] Only print micromamba version and add library versions to info command #1372

[micromamba] Implement activate as a micromamba subcommand for better error messages (thanks @maresb) #1360

[micromamba] Experimental wass logged twice (thanks @baszalmstra) #1360

[mamba] Update to Python 3.10 in the example snippet (thanks @jtpio) #1371

Source code(tar.gz)
Source code(zip)
2021.11.19(Nov 22, 2021)
libmamba

0.18.1

Improvements

Set default spdlog log level in the Context constructor (@adriendelsalle) #1279

Add Context::set_log_level method to define context value and set logger (@adriendelsalle) #1279

Set max extraction threads count when starting transaction (@adriendelsalle) #1281

Changes

Make Context::set_verbosity change both verbosity and log level (@adriendelsalle) #1279

libmambapy

0.18.1

Bug fixes

export extract_threads (@adriendelsalle) #1279

export Context::set_log_level and spdlog::level::level_enum (@adriendelsalle) #1279

mamba

0.18.1

Bug fixes

fix default log level to info (@adriendelsalle) #1279

fix json output of info subcommand when verbose mode is active (@adriendelsalle) #1280

allow mamba to set max extraction threads using MAMBA_EXTRACT_THREADS env var (@adriendelsalle) #1279

Source code(tar.gz)
Source code(zip)
2021.11.17(Nov 18, 2021)
Matches all outputs 0.18.0

libmamba

0.18.0

New features

Implement parallel packages extraction using subprocesses (@jonashaag @adriendelsalle) #1195

Add channel URLs to info (@jonashaag) #1235

Read custom_multichannels from .condarc (@jonashaag) #1240

Improve pyc compilation, make it configurable (@adriendelsalle) #1249

Use spdlog for nicer and configurable logs (@adriendelsalle) #1255

Make show_banner rc and env_var configurable (@adriendelsalle) #1257

Add info JSON output (@adriendelsalle) #1271

Bug fixes

Fix failing package cache checks (@wolfv) #1237

Improve catching of reproc errors (such as OOM-killed) (@adriendelsalle) #1250

Fix shell init with relative paths (@adriendelsalle) #1252

Fix not thrown error in multiple caches logic (@adriendelsalle) #1253

General improvements

Split projects, improve CMake options (@adriendelsalle) #1219 #1243

Test that a missing file doesn't cause an unlink error (@adriendelsalle) #1251

Improve logging on YAML errors (@adriendelsalle) #1254

libmambapy

0.18.0

New features

Create a separate target for Python bindings, split projects, improve CMake options (@adriendelsalle) #1219 #1243

mamba

0.18.0

New features

Make mamba env download and extract using libmamba (@adriendelsalle) #1270

Bug fixes

Use libmamba LockFile, add clean --lock flag (@adriendelsalle) #1238

General improvements

Make dependency on libmambapy Python bindings, split projects, improve CMake options (@adriendelsalle) #1219 #1243

Conditionally import bindings for cross-compiling (@adriendelsalle) #1263

micromamba

0.18.0

New features

Add packages extraction sub-command (@jonashaag @adriendelsalle) #1195

Improve bash completion (activate sub-command, directories completion) (@adriendelsalle) #1234

Add channel URLs to info (@jonashaag) #1235

Make pyc compilation configurable using --pyc,--no-pyc flags (@adriendelsalle) #1249

Add --log-level option to control log level independently of verbosity (@adriendelsalle) #1255

Add zsh completion (@adriendelsalle) #1269

Add info JSON output and --json CLI flag (@adriendelsalle) #1271

Bug fixes

Init all powershell profiles (@adriendelsalle) #1226

Fix multiple activations in Windows bash (@adriendelsalle) #1228

Docs

Document fish support (@izahn) #1216

General improvements

Split projects, improve CMake options (@adriendelsalle) #1219 #1243

Source code(tar.gz)
Source code(zip)

The Fast Cross-Platform Package Manager

Related tags

Overview

The Fast Cross-Platform Package Manager

mamba

Installation

Installing conda packages with mamba

Additional features

micromamba

Development installation

cmake based build

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Edit: Summary

Initial report

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Performance comparision

Lastest micromamba release from inside an exisiting environment

Lastest micromamba release outside an exisiting environment

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environment.yml

~/.condarc

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~/.condarc

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~/.condarc

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~/.condarc

Releases(2022.11.01)

2022.11.01(Nov 1, 2022)

Bug fixes:

Enhancements:

2022.10.04(Oct 5, 2022)

2022.09.30(Sep 30, 2022)

2022.07.26(Jul 26, 2022)

2022.07.26

2022.05.31(Jun 1, 2022)

2022.05.20(May 20, 2022)

2022.05.12(May 20, 2022)

2022.05.11(May 20, 2022)

2022.04.21(Apr 26, 2022)

2022.02.28(Apr 26, 2022)

2022.02.28

2022.02.25(Apr 26, 2022)

2022.02.11(Feb 11, 2022)

Date: 2022.02.11

Releases: libmamba 0.21.1, libmambapy 0.21.1, mamba 0.21.1, micromamba 0.21.1

Bug fixes

Improvements

Installing conda packages with `mamba`