]> crepu.dev Git - config.git/blame_incremental - djavu-asus/elpy/rpc-venv/lib/python3.11/site-packages/tomli-2.0.1.dist-info/METADATA
Actualizado el Readme
[config.git] / djavu-asus / elpy / rpc-venv / lib / python3.11 / site-packages / tomli-2.0.1.dist-info / METADATA
... / ...
CommitLineData
1Metadata-Version: 2.1
2Name: tomli
3Version: 2.0.1
4Summary: A lil' TOML parser
5Keywords: toml
6Author-email: Taneli Hukkinen <hukkin@users.noreply.github.com>
7Requires-Python: >=3.7
8Description-Content-Type: text/markdown
9Classifier: License :: OSI Approved :: MIT License
10Classifier: Operating System :: MacOS
11Classifier: Operating System :: Microsoft :: Windows
12Classifier: Operating System :: POSIX :: Linux
13Classifier: Programming Language :: Python :: 3 :: Only
14Classifier: Programming Language :: Python :: 3.7
15Classifier: Programming Language :: Python :: 3.8
16Classifier: Programming Language :: Python :: 3.9
17Classifier: Programming Language :: Python :: 3.10
18Classifier: Programming Language :: Python :: Implementation :: CPython
19Classifier: Programming Language :: Python :: Implementation :: PyPy
20Classifier: Topic :: Software Development :: Libraries :: Python Modules
21Classifier: Typing :: Typed
22Project-URL: Changelog, https://github.com/hukkin/tomli/blob/master/CHANGELOG.md
23Project-URL: Homepage, https://github.com/hukkin/tomli
24
25[![Build Status](https://github.com/hukkin/tomli/workflows/Tests/badge.svg?branch=master)](https://github.com/hukkin/tomli/actions?query=workflow%3ATests+branch%3Amaster+event%3Apush)
26[![codecov.io](https://codecov.io/gh/hukkin/tomli/branch/master/graph/badge.svg)](https://codecov.io/gh/hukkin/tomli)
27[![PyPI version](https://img.shields.io/pypi/v/tomli)](https://pypi.org/project/tomli)
28
29# Tomli
30
31> A lil' TOML parser
32
33**Table of Contents** *generated with [mdformat-toc](https://github.com/hukkin/mdformat-toc)*
34
35<!-- mdformat-toc start --slug=github --maxlevel=6 --minlevel=2 -->
36
37- [Intro](#intro)
38- [Installation](#installation)
39- [Usage](#usage)
40 - [Parse a TOML string](#parse-a-toml-string)
41 - [Parse a TOML file](#parse-a-toml-file)
42 - [Handle invalid TOML](#handle-invalid-toml)
43 - [Construct `decimal.Decimal`s from TOML floats](#construct-decimaldecimals-from-toml-floats)
44- [FAQ](#faq)
45 - [Why this parser?](#why-this-parser)
46 - [Is comment preserving round-trip parsing supported?](#is-comment-preserving-round-trip-parsing-supported)
47 - [Is there a `dumps`, `write` or `encode` function?](#is-there-a-dumps-write-or-encode-function)
48 - [How do TOML types map into Python types?](#how-do-toml-types-map-into-python-types)
49- [Performance](#performance)
50
51<!-- mdformat-toc end -->
52
53## Intro<a name="intro"></a>
54
55Tomli is a Python library for parsing [TOML](https://toml.io).
56Tomli is fully compatible with [TOML v1.0.0](https://toml.io/en/v1.0.0).
57
58## Installation<a name="installation"></a>
59
60```bash
61pip install tomli
62```
63
64## Usage<a name="usage"></a>
65
66### Parse a TOML string<a name="parse-a-toml-string"></a>
67
68```python
69import tomli
70
71toml_str = """
72 gretzky = 99
73
74 [kurri]
75 jari = 17
76 """
77
78toml_dict = tomli.loads(toml_str)
79assert toml_dict == {"gretzky": 99, "kurri": {"jari": 17}}
80```
81
82### Parse a TOML file<a name="parse-a-toml-file"></a>
83
84```python
85import tomli
86
87with open("path_to_file/conf.toml", "rb") as f:
88 toml_dict = tomli.load(f)
89```
90
91The file must be opened in binary mode (with the `"rb"` flag).
92Binary mode will enforce decoding the file as UTF-8 with universal newlines disabled,
93both of which are required to correctly parse TOML.
94
95### Handle invalid TOML<a name="handle-invalid-toml"></a>
96
97```python
98import tomli
99
100try:
101 toml_dict = tomli.loads("]] this is invalid TOML [[")
102except tomli.TOMLDecodeError:
103 print("Yep, definitely not valid.")
104```
105
106Note that error messages are considered informational only.
107They should not be assumed to stay constant across Tomli versions.
108
109### Construct `decimal.Decimal`s from TOML floats<a name="construct-decimaldecimals-from-toml-floats"></a>
110
111```python
112from decimal import Decimal
113import tomli
114
115toml_dict = tomli.loads("precision-matters = 0.982492", parse_float=Decimal)
116assert toml_dict["precision-matters"] == Decimal("0.982492")
117```
118
119Note that `decimal.Decimal` can be replaced with another callable that converts a TOML float from string to a Python type.
120The `decimal.Decimal` is, however, a practical choice for use cases where float inaccuracies can not be tolerated.
121
122Illegal types are `dict` and `list`, and their subtypes.
123A `ValueError` will be raised if `parse_float` produces illegal types.
124
125## FAQ<a name="faq"></a>
126
127### Why this parser?<a name="why-this-parser"></a>
128
129- it's lil'
130- pure Python with zero dependencies
131- the fastest pure Python parser [\*](#performance):
132 15x as fast as [tomlkit](https://pypi.org/project/tomlkit/),
133 2.4x as fast as [toml](https://pypi.org/project/toml/)
134- outputs [basic data types](#how-do-toml-types-map-into-python-types) only
135- 100% spec compliant: passes all tests in
136 [a test set](https://github.com/toml-lang/compliance/pull/8)
137 soon to be merged to the official
138 [compliance tests for TOML](https://github.com/toml-lang/compliance)
139 repository
140- thoroughly tested: 100% branch coverage
141
142### Is comment preserving round-trip parsing supported?<a name="is-comment-preserving-round-trip-parsing-supported"></a>
143
144No.
145
146The `tomli.loads` function returns a plain `dict` that is populated with builtin types and types from the standard library only.
147Preserving comments requires a custom type to be returned so will not be supported,
148at least not by the `tomli.loads` and `tomli.load` functions.
149
150Look into [TOML Kit](https://github.com/sdispater/tomlkit) if preservation of style is what you need.
151
152### Is there a `dumps`, `write` or `encode` function?<a name="is-there-a-dumps-write-or-encode-function"></a>
153
154[Tomli-W](https://github.com/hukkin/tomli-w) is the write-only counterpart of Tomli, providing `dump` and `dumps` functions.
155
156The core library does not include write capability, as most TOML use cases are read-only, and Tomli intends to be minimal.
157
158### How do TOML types map into Python types?<a name="how-do-toml-types-map-into-python-types"></a>
159
160| TOML type | Python type | Details |
161| ---------------- | ------------------- | ------------------------------------------------------------ |
162| Document Root | `dict` | |
163| Key | `str` | |
164| String | `str` | |
165| Integer | `int` | |
166| Float | `float` | |
167| Boolean | `bool` | |
168| Offset Date-Time | `datetime.datetime` | `tzinfo` attribute set to an instance of `datetime.timezone` |
169| Local Date-Time | `datetime.datetime` | `tzinfo` attribute set to `None` |
170| Local Date | `datetime.date` | |
171| Local Time | `datetime.time` | |
172| Array | `list` | |
173| Table | `dict` | |
174| Inline Table | `dict` | |
175
176## Performance<a name="performance"></a>
177
178The `benchmark/` folder in this repository contains a performance benchmark for comparing the various Python TOML parsers.
179The benchmark can be run with `tox -e benchmark-pypi`.
180Running the benchmark on my personal computer output the following:
181
182```console
183foo@bar:~/dev/tomli$ tox -e benchmark-pypi
184benchmark-pypi installed: attrs==19.3.0,click==7.1.2,pytomlpp==1.0.2,qtoml==0.3.0,rtoml==0.7.0,toml==0.10.2,tomli==1.1.0,tomlkit==0.7.2
185benchmark-pypi run-test-pre: PYTHONHASHSEED='2658546909'
186benchmark-pypi run-test: commands[0] | python -c 'import datetime; print(datetime.date.today())'
1872021-07-23
188benchmark-pypi run-test: commands[1] | python --version
189Python 3.8.10
190benchmark-pypi run-test: commands[2] | python benchmark/run.py
191Parsing data.toml 5000 times:
192------------------------------------------------------
193 parser | exec time | performance (more is better)
194-----------+------------+-----------------------------
195 rtoml | 0.901 s | baseline (100%)
196 pytomlpp | 1.08 s | 83.15%
197 tomli | 3.89 s | 23.15%
198 toml | 9.36 s | 9.63%
199 qtoml | 11.5 s | 7.82%
200 tomlkit | 56.8 s | 1.59%
201```
202
203The parsers are ordered from fastest to slowest, using the fastest parser as baseline.
204Tomli performed the best out of all pure Python TOML parsers,
205losing only to pytomlpp (wraps C++) and rtoml (wraps Rust).
206