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pip

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The MIT License
Copyright 2013-2019 William Pearson
Copyright 2015-2016 Julien Enselme
Copyright 2016 Google Inc.
Copyright 2017 Samuel Vasko
Copyright 2017 Nate Prewitt
Copyright 2017 Jack Evans
Copyright 2019 Filippo Broggini
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

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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.

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Generator: bdist_wheel (0.35.1)
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Tag: py3-none-any

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toml