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zwave-js-ui_ynh/venv/lib/python3.10/site-packages/toml-0.10.2.dist-info/METADATA
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Metadata-Version: 2.1
Name: toml
Version: 0.10.2
Summary: Python Library for Tom's Obvious, Minimal Language
Home-page: https://github.com/uiri/toml
Author: William Pearson
Author-email: uiri@xqz.ca
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=2.6, !=3.0.*, !=3.1.*, !=3.2.*
****
TOML
****
.. image:: https://img.shields.io/pypi/v/toml
:target: https://pypi.org/project/toml/
.. image:: https://travis-ci.org/uiri/toml.svg?branch=master
:target: https://travis-ci.org/uiri/toml
.. image:: https://img.shields.io/pypi/pyversions/toml.svg
:target: https://pypi.org/project/toml/
A Python library for parsing and creating `TOML <https://en.wikipedia.org/wiki/TOML>`_.
The module passes `the TOML test suite <https://github.com/BurntSushi/toml-test>`_.
See also:
* `The TOML Standard <https://github.com/toml-lang/toml>`_
* `The currently supported TOML specification <https://github.com/toml-lang/toml/blob/v0.5.0/README.md>`_
Installation
============
To install the latest release on `PyPI <https://pypi.org/project/toml/>`_,
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.
.. code:: pycon
>>> 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.
.. code:: pycon
>>> 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.
.. code:: pycon
>>> 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.
.. code:: pycon
>>> 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.