Important
This documentation covers IPython versions 6.0 and higher. Beginning with version 6.0, IPython stopped supporting compatibility with Python versions lower than 3.3 including all versions of Python 2.7.
If you are looking for an IPython version compatible with Python 2.7, please use the IPython 5.x LTS release and refer to its documentation (LTS is the long term support release).
Module: utils.sysinfo
¶
Utilities for getting information about IPython and the system it’s running in.
5 Functions¶
- IPython.utils.sysinfo.pkg_commit_hash(pkg_path: str) tuple[str, str] ¶
Get short form of commit hash given directory
pkg_path
We get the commit hash from (in order of preference):
IPython.utils._sysinfo.commit
git output, if we are in a git repository
If these fail, we return a not-found placeholder tuple
- Parameters:
pkg_path (str) – directory containing package only used for getting commit from active repo
- Returns:
hash_from (str) – Where we got the hash from - description
hash_str (str) – short form of hash
- IPython.utils.sysinfo.pkg_info(pkg_path: str) dict ¶
Return dict describing the context of this package
- IPython.utils.sysinfo.get_sys_info() dict ¶
Return useful information about IPython and the system, as a dict.
- IPython.utils.sysinfo.sys_info()¶
Return useful information about IPython and the system, as a string.
Examples
In [2]: print(sys_info()) {'commit_hash': '144fdae', # random 'commit_source': 'repository', 'ipython_path': '/home/fperez/usr/lib/python2.6/site-packages/IPython', 'ipython_version': '0.11.dev', 'os_name': 'posix', 'platform': 'Linux-2.6.35-22-generic-i686-with-Ubuntu-10.10-maverick', 'sys_executable': '/usr/bin/python', 'sys_platform': 'linux2', 'sys_version': '2.6.6 (r266:84292, Sep 15 2010, 15:52:39) \n[GCC 4.4.5]'}
- IPython.utils.sysinfo.num_cpus()¶
DEPRECATED
Return the effective number of CPUs in the system as an integer.
This cross-platform function makes an attempt at finding the total number of available CPUs in the system, as returned by various underlying system and python calls.
If it can’t find a sensible answer, it returns 1 (though an error may make it return a large positive number that’s actually incorrect).