Mamba in base-notebook

base-notebook/Dockerfile

@@ -26,24 +26,24 @@ USER root
 # Conda version
 ARG conda_version="4.9.2"
 # Miniforge installer patch version
-ARG miniforge_patch_number="5"
+ARG miniforge_patch_number="7"
 # Miniforge installer architecture
 ARG miniforge_arch="x86_64"
 # Python implementation to use 
 # can be either Miniforge3 to use Python or Miniforge-pypy3 to use PyPy
-ARG miniforge_python="Miniforge3"
+ARG miniforge_python="Mambaforge"
 
 # Miniforge archive to install
 ARG miniforge_version="${conda_version}-${miniforge_patch_number}"
 # Miniforge installer
 ARG miniforge_installer="${miniforge_python}-${miniforge_version}-Linux-${miniforge_arch}.sh"
 # Miniforge checksum
-ARG miniforge_checksum="49dddb3998550e40adc904dae55b0a2aeeb0bd9fc4306869cc4a600ec4b8b47c"
+ARG miniforge_checksum="5a827a62d98ba2217796a9dc7673380257ed7c161017565fba8ce785fb21a599"
 
 # Install all OS dependencies for notebook server that starts but lacks all
 # features (e.g., download as all possible file formats)
 ENV DEBIAN_FRONTEND noninteractive
-RUN apt-get update \
+RUN apt-get -q update \
  && apt-get install -yq --no-install-recommends \
     wget \
     ca-certificates \
@@ -102,7 +102,7 @@ RUN mkdir "/home/$NB_USER/work" && \
 # Install conda as jovyan and check the sha256 sum provided on the download site
 WORKDIR /tmp
 
-# Prerequisites installation: conda, pip, tini
+# Prerequisites installation: conda, mamba, pip, tini
 RUN wget --quiet "https://github.com/conda-forge/miniforge/releases/download/${miniforge_version}/${miniforge_installer}" && \
     echo "${miniforge_checksum} *${miniforge_installer}" | sha256sum --check && \
     /bin/bash "${miniforge_installer}" -f -b -p $CONDA_DIR && \

base-notebook/test/test_package_managers.py

@@ -0,0 +1,24 @@
+# Copyright (c) Jupyter Development Team.
+# Distributed under the terms of the Modified BSD License.
+
+import logging
+import pytest
+
+LOGGER = logging.getLogger(__name__)
+
+
+@pytest.mark.parametrize(
+    "package_manager, cmd", [("apt", "--version"), ("conda", "--version"), ("mamba", "--version"), ("npm", "--version")]
+)
+def test_package_manager(container, package_manager, cmd):
+    """Test the notebook start-notebook script"""
+    LOGGER.info(
+        f"Test that the package manager {package_manager} is working properly ..."
+    )
+    c = container.run(
+        tty=True, command=["start.sh", "bash", "-c", f"{package_manager} {cmd}"]
+    )
+    rv = c.wait(timeout=5)
+    logs = c.logs(stdout=True).decode("utf-8")
+    assert rv == 0 or rv["StatusCode"] == 0, f"Package manager {package_manager} not working"
+    LOGGER.debug(logs)

docs/using/common.md

@@ -105,12 +105,13 @@ You can bypass the provided scripts and specify an arbitrary start command. If y
 
 The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. The `/opt/conda/bin` directory is part of the default `jovyan` user's `$PATH`. That directory is also whitelisted for use in `sudo` commands by the `start.sh` script.
 
-The `jovyan` user has full read/write access to the `/opt/conda` directory. You can use either `conda` or `pip` to install new packages without any additional permissions.
+The `jovyan` user has full read/write access to the `/opt/conda` directory. You can use either `conda`, `mamba` or `pip` to install new packages without any additional permissions.
 
 ```bash
 # install a package into the default (python 3.x) environment
 pip install some-package
 conda install some-package
+mamba install some-package
 ```
 
 ### Using alternative channels

docs/using/selecting.md

@@ -28,7 +28,9 @@ and versioning strategy.
 [options common across all core stacks](common.md). It is the basis for all other stacks.
 
 - Minimally-functional Jupyter Notebook server (e.g., no LaTeX support for saving notebooks as PDFs)
-- [Miniforge](https://github.com/conda-forge/miniforge) Python 3.x in `/opt/conda`
+- [Miniforge](https://github.com/conda-forge/miniforge) Python 3.x in `/opt/conda` with two package managers
+  - [conda](https://github.com/conda/conda): "cross-platform, language-agnostic binary package manager".
+  - [mamba](https://github.com/mamba-org/mamba): "reimplementation of the conda package manager in C++".
 - No preinstalled scientific computing packages
 - Unprivileged user `jovyan` (`uid=1000`, configurable, see options) in group `users` (`gid=100`)
   with ownership over the `/home/jovyan` and `/opt/conda` paths