Skip to main content

Amazon S3 wheelhouse generator

Project description

https://travis-ci.org/WhoopInc/mkwheelhouse.svg?branch=master

Amazon S3 wheelhouse generator.

Wheels are the latest standard in distributing binary for Python. Wheels cut down scipy’s installation time from 15 minutes to 15 seconds. Learn more about wheels.

Usage

Generate wheels for all listed PACKAGEs and their dependencies, then upload them to Amazon S3 BUCKET:

$ mkwheelhouse BUCKET [PACKAGE...]

Then install with pip like usual, but preferring generated wheels:

$ pip install --find-links BUCKET/index.html PACKAGE

You can also build a wheelhouse in an S3 subdirectory by specifying the full S3 path:

$ mkwheelhouse s3://BUCKET/SUB/DIRECTORY PACKAGE

Additional options

  • -h, --help

    Print usage information and exit.

  • -r, --requirement REQUIREMENTS_FILE

    Also include packages (and their dependencies) from the pip requirements file REQUIREMENTS_FILE. Can be specified multiple times and combined with positional PACKAGE arguments.

  • -e, --exclude WHEEL_FILENAME:

    Don’t upload built wheel with filename WHEEL_FILENAME. Note this is the final wheel filename, like argparse-1.3.0-py2.py3-none-any.whl, not the bare package name.

    Specifying an exclusion will not remove pre-existing built wheels from S3; you’ll have to remove those wheels from the bucket manually.

Notes

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mkwheelhouse-1.1.0.tar.gz (5.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mkwheelhouse-1.1.0-py2.py3-none-any.whl (4.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file mkwheelhouse-1.1.0.tar.gz.

File metadata

  • Download URL: mkwheelhouse-1.1.0.tar.gz
  • Upload date:
  • Size: 5.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for mkwheelhouse-1.1.0.tar.gz
Algorithm Hash digest
SHA256 a9327937b7cbca1e1a9e63b3a70284ddd497f32acb36fd85905ea1db3998d9c1
MD5 7f29423d0d7008e8c534ef4b6c2c6e2a
BLAKE2b-256 b027452f5682a562db74cc3d7e45a99d0c80fe70ee1b2ffc6a79b9efe1e1bb14

See more details on using hashes here.

File details

Details for the file mkwheelhouse-1.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for mkwheelhouse-1.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f2f80ea626e9ab031ce81a6de2cb31ef6aa55df8e2b647ab5af1f6b06cc95576
MD5 f880d3c9e77937fb65e580fefa47061c
BLAKE2b-256 818cd12eb07840955828e685af20d747d84920809186ad222d146c655b68604e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page