Skip to main content

Dom's custom encoder for Tom's Obvious, Minimal Language.

Project description

Dom’s custom encoder for Tom’s Obvious, Minimal Language.

Docs

Documentation Build Status Docs Check Status

Tests

Linux Test Status Windows Test Status macOS Test Status Coverage

PyPI

PyPI - Package Version PyPI - Supported Python Versions PyPI - Supported Implementations PyPI - Wheel

Anaconda

Conda - Package Version Conda - Platform

Activity

GitHub last commit GitHub commits since tagged version Maintenance PyPI - Downloads

QA

CodeFactor Grade Flake8 Status mypy status pre-commit.ci status

Other

License GitHub top language Requirements Status

Installation

dom_toml can be installed from PyPI or Anaconda.

To install with pip:

$ python -m pip install dom_toml

To install with conda:

  • First add the required channels

$ conda config --add channels http://conda.anaconda.org/conda-forge
$ conda config --add channels http://conda.anaconda.org/domdfcoding
  • Then install

$ conda install dom_toml

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

dom_toml-0.1.0.tar.gz (7.3 kB view details)

Uploaded Source

Built Distribution

dom_toml-0.1.0-py3-none-any.whl (6.4 kB view details)

Uploaded Python 3

File details

Details for the file dom_toml-0.1.0.tar.gz.

File metadata

  • Download URL: dom_toml-0.1.0.tar.gz
  • Upload date:
  • Size: 7.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for dom_toml-0.1.0.tar.gz
Algorithm Hash digest
SHA256 c45e2d3079824a498ba13fd09b3149beb8e16a9765d19a1a5b31e4c0461c2c84
MD5 cd9a62e95e807aae3f65b5cb4a35f1ba
BLAKE2b-256 fc304b17f58c284eaffb982dcfa729a7fe8f642369a28b18ad33593d1e33f6b8

See more details on using hashes here.

File details

Details for the file dom_toml-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: dom_toml-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for dom_toml-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 cddaeeba19eb51df16b813f5c6d995c777fdadb0dd6a6a2b233445c6b11fc649
MD5 9c633cb6c6a1deb9ed8b2a4f7572f1c5
BLAKE2b-256 2ab54932c67598d7156fe582bb8ba6c9ed984a8cfb33f1507065b957a6092226

See more details on using hashes here.

Supported by

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