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A library implementing the 'SemVer' scheme.
This small python library provides a few tools to handle SemVer
_ in Python.
It follows strictly the 2.0.0 version of the SemVer scheme.
.. image:: https://github.com/rbarrois/python-semanticversion/actions/workflows/test.yml/badge.svg :target: https://github.com/rbarrois/python-semanticversion/actions/workflows/test.yml
.. image:: https://img.shields.io/pypi/v/semantic_version.svg :target: https://python-semanticversion.readthedocs.io/en/latest/changelog.html :alt: Latest Version
.. image:: https://img.shields.io/pypi/pyversions/semanticversion.svg :target: https://pypi.python.org/pypi/semanticversion/ :alt: Supported Python versions
.. image:: https://img.shields.io/pypi/wheel/semanticversion.svg :target: https://pypi.python.org/pypi/semanticversion/ :alt: Wheel status
.. image:: https://img.shields.io/pypi/l/semanticversion.svg :target: https://pypi.python.org/pypi/semanticversion/ :alt: License
PyPI
: http://pypi.python.org/pypi/semanticversion/ReadTheDocs <http://readthedocs.org/>
_: https://python-semanticversion.readthedocs.io/GitHub <http://github.com/>
_: http://github.com/rbarrois/python-semanticversion/SemVer
_Install the package from PyPI
_, using pip:
.. code-block:: sh
pip install semantic_version
Or from GitHub:
.. code-block:: sh
$ git clone git://github.com/rbarrois/python-semanticversion.git
Import it in your code:
.. code-block:: python
import semantic_version
This module provides classes to handle semantic versions:
Version
represents a version number (0.1.1-alpha+build.2012-05-15
)BaseSpec
-derived classes represent requirement specifications (>=0.1.1,<0.3.0
):
SimpleSpec
describes a natural description syntaxNpmSpec
is used for NPM-style range descriptions.Defining a Version
is quite simple:
.. code-block:: pycon
>>> import semantic_version
>>> v = semantic_version.Version('0.1.1')
>>> v.major
0
>>> v.minor
1
>>> v.patch
1
>>> v.prerelease
[]
>>> v.build
[]
>>> list(v)
[0, 1, 1, [], []]
If the provided version string is invalid, a ValueError
will be raised:
.. code-block:: pycon
>>> semantic_version.Version('0.1')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/rbarrois/dev/semantic_version/src/semantic_version/base.py", line 64, in __init__
major, minor, patch, prerelease, build = self.parse(version_string, partial)
File "/Users/rbarrois/dev/semantic_version/src/semantic_version/base.py", line 86, in parse
raise ValueError('Invalid version string: %r' % version_string)
ValueError: Invalid version string: '0.1'
One may also create a Version
with named components:
.. code-block:: pycon
>>> semantic_version.Version(major=0, minor=1, patch=2)
Version('0.1.2')
In that case, major
, minor
and patch
are mandatory, and must be integers.
prerelease
and build
, if provided, must be tuples of strings:
.. code-block:: pycon
>>> semantic_version.Version(major=0, minor=1, patch=2, prerelease=('alpha', '2'))
Version('0.1.2-alpha.2')
Some user-supplied input might not match the semantic version scheme.
For such cases, the Version.coerce
method will try to convert any
version-like string into a valid semver version:
.. code-block:: pycon
>>> Version.coerce('0')
Version('0.0.0')
>>> Version.coerce('0.1.2.3.4')
Version('0.1.2+3.4')
>>> Version.coerce('0.1.2a3')
Version('0.1.2-a3')
Working with versions """""""""""""""""""""
Obviously, versions can be compared:
.. code-block:: pycon
>>> semantic_version.Version('0.1.1') < semantic_version.Version('0.1.2')
True
>>> semantic_version.Version('0.1.1') > semantic_version.Version('0.1.1-alpha')
True
>>> semantic_version.Version('0.1.1') <= semantic_version.Version('0.1.1-alpha')
False
You can also get a new version that represents a bump in one of the version levels:
.. code-block:: pycon
>>> v = semantic_version.Version('0.1.1+build')
>>> new_v = v.next_major()
>>> str(new_v)
'1.0.0'
>>> v = semantic_version.Version('1.1.1+build')
>>> new_v = v.next_minor()
>>> str(new_v)
'1.2.0'
>>> v = semantic_version.Version('1.1.1+build')
>>> new_v = v.next_patch()
>>> str(new_v)
'1.1.2'
python-semanticversion provides a couple of ways to describe a range of accepted versions:
SimpleSpec
class provides a simple, easily understood scheme --
somewhat inspired from PyPI range notations;NpmSpec
class supports the whole NPM range specification scheme:.. code-block:: pycon
>>> Version('0.1.2') in NpmSpec('0.1.0-alpha.2 .. 0.2.4')
True
>>> Version('0.1.2') in NpmSpec('>=0.1.1 <0.1.3 || 2.x')
True
>>> Version('2.3.4') in NpmSpec('>=0.1.1 <0.1.3 || 2.x')
True
The SimpleSpec
scheme
"""""""""""""""""""""""""
Basic usage is simply a comparator and a base version:
.. code-block:: pycon
>>> s = SimpleSpec('>=0.1.1') # At least 0.1.1
>>> s.match(Version('0.1.1'))
True
>>> s.match(Version('0.1.1-alpha1')) # pre-release doesn't satisfy version spec
False
>>> s.match(Version('0.1.0'))
False
Combining specifications can be expressed as follows:
.. code-block:: pycon
>>> SimpleSpec('>=0.1.1,<0.3.0')
Simpler test syntax is also available using the in
keyword:
.. code-block:: pycon
>>> s = SimpleSpec('==0.1.1')
>>> Version('0.1.1+git7ccc72') in s # build variants are equivalent to full versions
True
>>> Version('0.1.1-alpha1') in s # pre-release variants don't match the full version.
False
>>> Version('0.1.2') in s
False
Refer to the full documentation at
https://python-semanticversion.readthedocs.io/en/latest/ for more details on the
SimpleSpec
scheme.
Using a specification """""""""""""""""""""
The SimpleSpec.filter
method filters an iterable of Version
:
.. code-block:: pycon
>>> s = SimpleSpec('>=0.1.0,<0.4.0')
>>> versions = (Version('0.%d.0' % i) for i in range(6))
>>> for v in s.filter(versions):
... print v
0.1.0
0.2.0
0.3.0
It is also possible to select the 'best' version from such iterables:
.. code-block:: pycon
>>> s = SimpleSpec('>=0.1.0,<0.4.0')
>>> versions = (Version('0.%d.0' % i) for i in range(6))
>>> s.select(versions)
Version('0.3.0')
In order to contribute to the source code:
GitHub
_: https://github.com/rbarrois/python-semanticversion/issuesrepository <https://github.com/rbarrois/python-semanticversion>
_
and submit a pull request on GitHub
_When submitting patches or pull requests, you should respect the following rules:
8
reference
section
and included in the changelog
contributors
section.. note:: All files should contain the following header::
# -*- encoding: utf-8 -*-
# Copyright (c) The python-semanticversion project
.. _SemVer: http://semver.org/ .. _PyPI: http://pypi.python.org/
This section shows a list of objects the current object is dependent upon in order to be used.
For dependencies that are only relevant as part of the build or runtime of the object, it is best to describe those local to those sections.
This section tracks information useful to describing how to build this object.
semantic_version-2.9.0-py2.py3-none-any.whl
application/zip
Python Source for semantic-version 2.9.0
https://files.pythonhosted.org/packages/64/ac/df31047966c4d0293e7bd16276ebc9f6654de36ad8e19061a09369380c0a/semantic_version-2.9.0-py2.py3-none-any.whl
QmQcVMYKi87DbJjBEsa7AsPi9aVthr2Af49HAnznhUS3d1
QmRQwboWNfvqxLPvTdD7HDy61p8ba3YJdgm3ijuLaZLfdm
Qmd66jYzV8i4V6PmgkvTBQEfEudy4tPsGEfLxPxkHgwVd6
downloadargparse-1.4.0.tar.gz
application/gzip
Python Source for argparse 1.4.0
https://files.pythonhosted.org/packages/18/dd/e617cfc3f6210ae183374cd9f6a26b20514bbb5a792af97949c5aacddf0f/argparse-1.4.0.tar.gz
QmVMjtpCHUfoKdHkNdqDCry1Ck6P8Tk9bJaHmrH7a35oXr
QmYhLtiLR6hamZiy5TL3vf5d6fA1z2eq4iGn4EmeJywkFs
QmUyto3kPC3XY43kf9bh6VoSJnEVvUCX32XX5EPXZCFCNw
download/bin/bash
{{ paths.mount }}/build.sh
semantic_version-2.9.0-py2.py3-none-any.whl
3
semantic-version
argparse-1.4.0.tar.gz
linux
x86-64
Objects have a set of files that comprise that object, as seen in the Files tab. When an object is built, they have a set of files that are the result of that build. In each case, these sets of files are the ones that are accessible within a virtual machine when running the object.
This section describes how those files are accessible and visible to that machine. When a virtual machine is created, the data is always accessible read-only within a particular mounted directory. However, applications may expect to be located at particular directories. This section allows one to place files in different directories when the virtual machine is launched.
There are two types of access. One is a link where the file is not copied from its original location. Instead, it creates what is called a symbolic link which is a "shortcut" that acts like a normal file but allows the actual data to be in a different directory. The other type is a traditional copy which copies the data explicitly to the provided destination. This takes more time, but the copy can be modified, unlike the read-only link type.
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