packing-packages 0.1.1

This module provides functionality to pack conda environments and their dependencies into a specified directory.

PACKING-PACKAGES

This module provides functionality to pack conda environments and their dependencies into a specified directory.

You can use this package to migrate a conda environment to another offline machine with the same operating system.

Install

# Need python, setuptools, pip package
pip install packing-packages

How to use

see --help.

Pack

packing-packages pack -d .

Install

packing-packages install .

Example

Source device

conda activate <envname>
python -m pip install packing-packages
python -m packing_packages pack -d .

Destination device (offline)

conda create -yn <envname> --offline
conda activate <envname>
conda install --use-local --offline ./conda/*
python -m pip install --no-deps --no-build-isolation ./pypi/*

Notes

Installing PyTorch from a Non-PyPI Source

If you want to use pip to download packages from a source other than PyPI (e.g., the official PyTorch index), standard methods may not complete successfully. Some packages may fail to download and must be handled manually. This process is complex, and automated support is not currently provided.

# Installation command
pip install torch==2.5.1 --index-url https://download.pytorch.org/whl/cu124

# Download command (without dependencies)
# --no-deps: download only the specified package
# -d: set the destination directory
pip download torch==2.5.1 --index-url https://download.pytorch.org/whl/cu124 --no-deps -d .

Handling Installation Failures with --use-pep517

Some older packages may not install successfully using pip install. In such cases, you may be able to install them manually using the --use-pep517 option:

pip install <package-name> --use-pep517

Choosing Between Standard Install Commands and packing-packages install

There are two main methods for installing packages:

1. Using conda install or pip install
2. Using the packing-packages install command, which wraps these tools and provides error handling

Command	Advantages	Disadvantages
conda install / pip install	Fast execution	Stops immediately upon error
packing-packages install	Skips failed packages and reports them	Slower installation process

Packing an Environment Using a .yaml File

If you already have an environment file (.yaml), you can create and pack the environment on an online machine with the same OS:

# On an online machine with the same OS
conda env create -f=env_name.yml
conda activate <env_name>
python3 -m pip install packing-packages
packing-packages pack -d .

Using a Proxy (If Required)

If you are in an environment that requires a proxy, you may need to configure the proxy settings before downloading or installing packages:

export HTTP_PROXY="your proxy"
export HTTPS_PROXY="your proxy"