Skip to main content

Python Library for Tom's Obvious, Minimal Language

Project description

https://img.shields.io/pypi/v/toml https://travis-ci.org/uiri/toml.svg?branch=master https://img.shields.io/pypi/pyversions/toml.svg

A Python library for parsing and creating TOML.

The module passes the TOML test suite.

See also:

Installation

To install the latest release on PyPI, simply run:

pip install toml

Or to install the latest development version, run:

git clone https://github.com/uiri/toml.git
cd toml
python setup.py install

Quick Tutorial

toml.loads takes in a string containing standard TOML-formatted data and returns a dictionary containing the parsed data.

>>> import toml
>>> toml_string = """
... # This is a TOML document.
...
... title = "TOML Example"
...
... [owner]
... name = "Tom Preston-Werner"
... dob = 1979-05-27T07:32:00-08:00 # First class dates
...
... [database]
... server = "192.168.1.1"
... ports = [ 8001, 8001, 8002 ]
... connection_max = 5000
... enabled = true
...
... [servers]
...
...   # Indentation (tabs and/or spaces) is allowed but not required
...   [servers.alpha]
...   ip = "10.0.0.1"
...   dc = "eqdc10"
...
...   [servers.beta]
...   ip = "10.0.0.2"
...   dc = "eqdc10"
...
... [clients]
... data = [ ["gamma", "delta"], [1, 2] ]
...
... # Line breaks are OK when inside arrays
... hosts = [
...   "alpha",
...   "omega"
... ]
... """
>>> parsed_toml = toml.loads(toml_string)

toml.dumps takes a dictionary and returns a string containing the corresponding TOML-formatted data.

>>> new_toml_string = toml.dumps(parsed_toml)
>>> print(new_toml_string)
title = "TOML Example"
[owner]
name = "Tom Preston-Werner"
dob = 1979-05-27T07:32:00Z
[database]
server = "192.168.1.1"
ports = [ 8001, 8001, 8002,]
connection_max = 5000
enabled = true
[clients]
data = [ [ "gamma", "delta",], [ 1, 2,],]
hosts = [ "alpha", "omega",]
[servers.alpha]
ip = "10.0.0.1"
dc = "eqdc10"
[servers.beta]
ip = "10.0.0.2"
dc = "eqdc10"

toml.dump takes a dictionary and a file descriptor and returns a string containing the corresponding TOML-formatted data.

>>> with open('new_toml_file.toml', 'w') as f:
...     new_toml_string = toml.dump(parsed_toml, f)
>>> print(new_toml_string)
title = "TOML Example"
[owner]
name = "Tom Preston-Werner"
dob = 1979-05-27T07:32:00Z
[database]
server = "192.168.1.1"
ports = [ 8001, 8001, 8002,]
connection_max = 5000
enabled = true
[clients]
data = [ [ "gamma", "delta",], [ 1, 2,],]
hosts = [ "alpha", "omega",]
[servers.alpha]
ip = "10.0.0.1"
dc = "eqdc10"
[servers.beta]
ip = "10.0.0.2"
dc = "eqdc10"

For more functions, view the API Reference below.

Note

For Numpy users, by default the data types np.floatX will not be translated to floats by toml, but will instead be encoded as strings. To get around this, specify the TomlNumpyEncoder when saving your data.

>>> import toml
>>> import numpy as np
>>> a = np.arange(0, 10, dtype=np.double)
>>> output = {'a': a}
>>> toml.dumps(output)
'a = [ "0.0", "1.0", "2.0", "3.0", "4.0", "5.0", "6.0", "7.0", "8.0", "9.0",]\n'
>>> toml.dumps(output, encoder=toml.TomlNumpyEncoder())
'a = [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0,]\n'

API Reference

toml.load(f, _dict=dict)

Parse a file or a list of files as TOML and return a dictionary.

Args:
  • f: A path to a file, list of filepaths (to be read into single object) or a file descriptor

  • _dict: The class of the dictionary object to be returned

Returns:

A dictionary (or object _dict) containing parsed TOML data

Raises:
  • TypeError: When f is an invalid type or is a list containing invalid types

  • TomlDecodeError: When an error occurs while decoding the file(s)

toml.loads(s, _dict=dict)

Parse a TOML-formatted string to a dictionary.

Args:
  • s: The TOML-formatted string to be parsed

  • _dict: Specifies the class of the returned toml dictionary

Returns:

A dictionary (or object _dict) containing parsed TOML data

Raises:
  • TypeError: When a non-string object is passed

  • TomlDecodeError: When an error occurs while decoding the TOML-formatted string

toml.dump(o, f, encoder=None)

Write a dictionary to a file containing TOML-formatted data

Args:
  • o: An object to be converted into TOML

  • f: A File descriptor where the TOML-formatted output should be stored

  • encoder: An instance of TomlEncoder (or subclass) for encoding the object. If None, will default to TomlEncoder

Returns:

A string containing the TOML-formatted data corresponding to object o

Raises:
  • TypeError: When anything other than file descriptor is passed

toml.dumps(o, encoder=None)

Create a TOML-formatted string from an input object

Args:
  • o: An object to be converted into TOML

  • encoder: An instance of TomlEncoder (or subclass) for encoding the object. If None, will default to TomlEncoder

Returns:

A string containing the TOML-formatted data corresponding to object o

Licensing

This project is released under the terms of the MIT Open Source License. View LICENSE.txt for more information.

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

toml-0.10.2.tar.gz (22.3 kB view details)

Uploaded Source

Built Distribution

toml-0.10.2-py2.py3-none-any.whl (16.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file toml-0.10.2.tar.gz.

File metadata

  • Download URL: toml-0.10.2.tar.gz
  • Upload date:
  • Size: 22.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.3

File hashes

Hashes for toml-0.10.2.tar.gz
Algorithm Hash digest
SHA256 b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f
MD5 59bce5d8d67e858735ec3f399ec90253
BLAKE2b-256 beba1f744cdc819428fc6b5084ec34d9b30660f6f9daaf70eead706e3203ec3c

See more details on using hashes here.

File details

Details for the file toml-0.10.2-py2.py3-none-any.whl.

File metadata

  • Download URL: toml-0.10.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 16.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.3

File hashes

Hashes for toml-0.10.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b
MD5 dc26cd71b80d6757139f38156a43c545
BLAKE2b-256 446f7120676b6d73228c96e17f1f794d8ab046fc910d781c8d151120c3f1569e

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 Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page