numpy.distutils)¶NumPy provides enhanced distutils functionality to make it easier tobuild and install sub-packages, auto-generate code, and extensionmodules that use Fortran-compiled libraries. To use features of NumPydistutils, use thesetup command fromnumpy.distutils.core. A usefulConfiguration class is also provided innumpy.distutils.misc_util that can make it easier to constructkeyword arguments to pass to the setup function (by passing thedictionary obtained from the todict() method of the class). Moreinformation is available in the NumPy Distutils Users Guide in<site-packages>/numpy/doc/DISTUTILS.txt.
numpy.distutils¶get_numpy_include_dirs() | |
dict_append(d, **kws) | |
appendpath(prefix, path) | |
allpath(name) | Convert a /-separated pathname to one using the OS’s path separator. |
dot_join(*args) | |
generate_config_py(target) | Generate config.py file containing system_info information used during building the package. |
get_cmd(cmdname[, _cache]) | |
terminal_has_colors() | |
red_text(s) | |
green_text(s) | |
yellow_text(s) | |
blue_text(s) | |
cyan_text(s) | |
cyg2win32(path) | |
all_strings(lst) | Return True if all items in lst are string objects. |
has_f_sources(sources) | Return True if sources contains Fortran files |
has_cxx_sources(sources) | Return True if sources contains C++ files |
filter_sources(sources) | Return four lists of filenames containing C, C++, Fortran, and Fortran 90 module sources, respectively. |
get_dependencies(sources) | |
is_local_src_dir(directory) | Return true if directory is local directory. |
get_ext_source_files(ext) | |
get_script_files(scripts) |
numpy.distutils.misc_util.Configuration(package_name=None,parent_name=None,top_path=None,package_path=None,**attrs)[source]¶Construct a configuration instance for the given package name. Ifparent_name is not None, then construct the package as asub-package of theparent_name package. Iftop_path andpackage_path are None then they are assumed equal tothe path of the file this instance was created in. The setup.pyfiles in the numpy distribution are good examples of how to usetheConfiguration instance.
todict()[source]¶Return a dictionary compatible with the keyword arguments of distutilssetup function.
Examples
>>>setup(**config.todict())
get_subpackage(subpackage_name,subpackage_path=None,parent_name=None,caller_level=1)[source]¶Return list of subpackage configurations.
| Parameters: |
|
|---|
add_subpackage(subpackage_name,subpackage_path=None,standalone=False)[source]¶Add a sub-package to the current Configuration instance.
This is useful in a setup.py script for adding sub-packages to apackage.
| Parameters: |
|
|---|
add_data_files(*files)[source]¶Add data files to configuration data_files.
| Parameters: |
|
|---|
Notes
The form of each element of the files sequence is very flexibleallowing many combinations of where to get the files from the packageand where they should ultimately be installed on the system. The mostbasic usage is for an element of the files argument sequence to be asimple filename. This will cause that file from the local path to beinstalled to the installation path of the self.name package (packagepath). The file argument can also be a relative path in which case theentire relative path will be installed into the package directory.Finally, the file can be an absolute path name in which case the filewill be found at the absolute path name but installed to the packagepath.
This basic behavior can be augmented by passing a 2-tuple in as thefile argument. The first element of the tuple should specify therelative path (under the package install directory) where theremaining sequence of files should be installed to (it has nothing todo with the file-names in the source distribution). The second elementof the tuple is the sequence of files that should be installed. Thefiles in this sequence can be filenames, relative paths, or absolutepaths. For absolute paths the file will be installed in the top-levelpackage installation directory (regardless of the first argument).Filenames and relative path names will be installed in the packageinstall directory under the path name given as the first element ofthe tuple.
Rules for installation paths:
- file.txt -> (., file.txt)-> parent/file.txt
- foo/file.txt -> (foo, foo/file.txt) -> parent/foo/file.txt
- /foo/bar/file.txt -> (., /foo/bar/file.txt) -> parent/file.txt
*.txt -> parent/a.txt, parent/b.txt- foo/
*.txt`` -> parent/foo/a.txt, parent/foo/b.txt*/*.txt-> (*,*/*.txt) -> parent/c/a.txt, parent/d/b.txt- (sun, file.txt) -> parent/sun/file.txt
- (sun, bar/file.txt) -> parent/sun/file.txt
- (sun, /foo/bar/file.txt) -> parent/sun/file.txt
- (sun,
*.txt) -> parent/sun/a.txt, parent/sun/b.txt- (sun, bar/
*.txt) -> parent/sun/a.txt, parent/sun/b.txt- (sun/
*,*/*.txt) -> parent/sun/c/a.txt, parent/d/b.txt
An additional feature is that the path to a data-file can actually bea function that takes no arguments and returns the actual path(s) tothe data-files. This is useful when the data files are generated whilebuilding the package.
Examples
Add files to the list of data_files to be included with the package.
>>>self.add_data_files('foo.dat',...('fun',['gun.dat','nun/pun.dat','/tmp/sun.dat']),...'bar/cat.dat',...'/full/path/to/can.dat')
will install these data files to:
<packageinstalldirectory>/foo.datfun/gun.datnun/pun.datsun.datbar/car.datcan.dat
where <package install directory> is the package (or sub-package)directory such as ‘/usr/lib/python2.4/site-packages/mypackage’ (‘C:Python2.4 Lib site-packages mypackage’) or‘/usr/lib/python2.4/site- packages/mypackage/mysubpackage’ (‘C:Python2.4 Lib site-packages mypackage mysubpackage’).
add_data_dir(data_path)[source]¶Recursively add files under data_path to data_files list.
Recursively add files under data_path to the list of data_files to beinstalled (and distributed). The data_path can be either a relativepath-name, or an absolute path-name, or a 2-tuple where the firstargument shows where in the install directory the data directoryshould be installed to.
| Parameters: |
|
|---|
Notes
Rules for installation paths:
foo/bar->(foo/bar,foo/bar)->parent/foo/bar(gun,foo/bar)->parent/gunfoo/*->(foo/a,foo/a),(foo/b,foo/b)->parent/foo/a,parent/foo/b(gun,foo/*)->(gun,foo/a),(gun,foo/b)->gun(gun/*,foo/*)->parent/gun/a,parent/gun/b/foo/bar->(bar,/foo/bar)->parent/bar(gun,/foo/bar)->parent/gun(fun/*/gun/*,sun/foo/bar)->parent/fun/foo/gun/bar
Examples
For example suppose the source directory contains fun/foo.dat andfun/bar/car.dat:
>>>self.add_data_dir('fun')>>>self.add_data_dir(('sun','fun'))>>>self.add_data_dir(('gun','/full/path/to/fun'))
Will install data-files to the locations:
<packageinstalldirectory>/fun/foo.datbar/car.datsun/foo.datbar/car.datgun/foo.datcar.dat
add_include_dirs(*paths)[source]¶Add paths to configuration include directories.
Add the given sequence of paths to the beginning of the include_dirslist. This list will be visible to all extension modules of thecurrent package.
add_headers(*files)[source]¶Add installable headers to configuration.
Add the given sequence of files to the beginning of the headers list.By default, headers will be installed under <python-include>/<self.name.replace(‘.’,’/’)>/ directory. If an item of filesis a tuple, then its first argument specifies the actual installationlocation relative to the <python-include> path.
| Parameters: |
|
|---|
add_extension(name,sources,**kw)[source]¶Add extension to configuration.
Create and add an Extension instance to the ext_modules list. Thismethod also takes the following optional keyword arguments that arepassed on to the Extension constructor.
| Parameters: |
|
|---|
Notes
The self.paths(…) method is applied to all lists that may containpaths.
add_library(name,sources,**build_info)[source]¶Add library to configuration.
| Parameters: |
|
|---|
add_scripts(*files)[source]¶Add scripts to configuration.
Add the sequence of files to the beginning of the scripts list.Scripts will be installed under the <prefix>/bin/ directory.
add_installed_library(name,sources,install_dir,build_info=None)[source]¶Similar to add_library, but the specified library is installed.
Most C libraries used withdistutils are only used to build pythonextensions, but libraries built through this method will be installedso that they can be reused by third-party packages.
| Parameters: |
|
|---|---|
| Returns: |
|
See also
Notes
The best way to encode the options required to link against the specifiedC libraries is to use a “libname.ini” file, and useget_info toretrieve the required options (seeadd_npy_pkg_config for moreinformation).
add_npy_pkg_config(template,install_dir,subst_dict=None)[source]¶Generate and install a npy-pkg config file from a template.
The config file generated fromtemplate is installed in thegiven install directory, usingsubst_dict for variable substitution.
| Parameters: |
|
|---|
See also
Notes
This works for both standard installs and in-place builds, i.e. the@prefix@ refer to the source directory for in-place builds.
Examples
config.add_npy_pkg_config('foo.ini.in','lib',{'foo':bar})
Assuming the foo.ini.in file has the following content:
[meta]Name=@foo@Version=1.0Description=dummydescription[default]Cflags=-I@prefix@/includeLibs=
The generated file will have the following content:
[meta]Name=barVersion=1.0Description=dummydescription[default]Cflags=-Iprefix_dir/includeLibs=
and will be installed as foo.ini in the ‘lib’ subpath.
paths(*paths,**kws)[source]¶Apply glob to paths and prepend local_path if needed.
Applies glob.glob(…) to each path in the sequence (if needed) andpre-pends the local_path if needed. Because this is called on allsource lists, this allows wildcard characters to be specified in listsof sources for extension modules and libraries and scripts and allowspath-names be relative to the source directory.
get_build_temp_dir()[source]¶Return a path to a temporary directory where temporary files should beplaced.
have_f77c()[source]¶Check for availability of Fortran 77 compiler.
Use it inside source generating function to ensure thatsetup distribution instance has been initialized.
Notes
True if a Fortran 77 compiler is available (because a simple Fortran 77code was able to be compiled successfully).
have_f90c()[source]¶Check for availability of Fortran 90 compiler.
Use it inside source generating function to ensure thatsetup distribution instance has been initialized.
Notes
True if a Fortran 90 compiler is available (because a simple Fortran90 code was able to be compiled successfully)
get_version(version_file=None,version_variable=None)[source]¶Try to get version string of a package.
Return a version string of the current package or None if the versioninformation could not be detected.
Notes
This method scans files named__version__.py, <packagename>_version.py, version.py, and__svn_version__.py for string variables version, __version__, and<packagename>_version, until a version number is found.
make_svn_version_py(delete=True)[source]¶Appends a data function to the data_files list that will generate__svn_version__.py file to the current package directory.
Generate package __svn_version__.py file from SVN revision number,it will be removed after python exits but will be availablewhen sdist, etc commands are executed.
Notes
If __svn_version__.py existed before, nothing is done.
This isintended for working with source directories that are in an SVNrepository.
system_info.get_info(name[, notfound_action]) | notfound_action: |
system_info.get_standard_file(fname) | Returns a list of files named ‘fname’ from |
cpuinfo.cpu | |
log.set_verbosity(v[, force]) | |
exec_command | exec_command |
Conventional C libraries (installed throughadd_library) are not installed, andare just used during the build (they are statically linked). An installable Clibrary is a pure C library, which does not depend on the python C runtime, andis installed such that it may be used by third-party packages. To build andinstall the C library, you just use the methodadd_installed_library instead ofadd_library, which takes the same arguments except for an additionalinstall_dir argument:
>>>config.add_installed_library('foo',sources=['foo.c'],install_dir='lib')
To make the necessary build options available to third parties, you could usethenpy-pkg-config mechanism implemented innumpy.distutils. This mechanism isbased on a .ini file which contains all the options. A .ini file is verysimilar to .pc files as used by the pkg-config unix utility:
[meta]Name: fooVersion: 1.0Description: foo library[variables]prefix = /home/user/locallibdir = ${prefix}/libincludedir = ${prefix}/include[default]cflags = -I${includedir}libs = -L${libdir} -lfooGenerally, the file needs to be generated during the build, since it needs someinformation known at build time only (e.g. prefix). This is mostly automatic ifone uses theConfiguration methodadd_npy_pkg_config. Assuming we have atemplate file foo.ini.in as follows:
[meta]Name: fooVersion: @version@Description: foo library[variables]prefix = @prefix@libdir = ${prefix}/libincludedir = ${prefix}/include[default]cflags = -I${includedir}libs = -L${libdir} -lfooand the following code in setup.py:
>>>config.add_installed_library('foo',sources=['foo.c'],install_dir='lib')>>>subst={'version':'1.0'}>>>config.add_npy_pkg_config('foo.ini.in','lib',subst_dict=subst)
This will install the file foo.ini into the directory package_dir/lib, and thefoo.ini file will be generated from foo.ini.in, where each@version@ will bereplaced bysubst_dict['version']. The dictionary has an additional prefixsubstitution rule automatically added, which contains the install prefix (sincethis is not easy to get from setup.py). npy-pkg-config files can also beinstalled at the same location as used for numpy, using the path returned fromget_npy_pkg_dir function.
Info are easily retrieved from theget_info function innumpy.distutils.misc_util:
>>>info=get_info('npymath')>>>config.add_extension('foo',sources=['foo.c'],extra_info=**info)
An additional list of paths to look for .ini files can be given toget_info.
.src files¶NumPy distutils supports automatic conversion of source files named<somefile>.src. This facility can be used to maintain very similarcode blocks requiring only simple changes between blocks. During thebuild phase of setup, if a template file named <somefile>.src isencountered, a new file named <somefile> is constructed from thetemplate and placed in the build directory to be used instead. Twoforms of template conversion are supported. The first form occurs forfiles named <file>.ext.src where ext is a recognized Fortranextension (f, f90, f95, f77, for, ftn, pyf). The second form is usedfor all other cases.
This template converter will replicate allfunction andsubroutine blocks in the file with names that contain ‘<…>’according to the rules in ‘<…>’. The number of comma-separated wordsin ‘<…>’ determines the number of times the block is repeated. Whatthese words are indicates what that repeat rule, ‘<…>’, should bereplaced with in each block. All of the repeat rules in a block mustcontain the same number of comma-separated words indicating the numberof times that block should be repeated. If the word in the repeat ruleneeds a comma, leftarrow, or rightarrow, then prepend it with abackslash ‘ ‘. If a word in the repeat rule matches ‘ \<index>’ thenit will be replaced with the <index>-th word in the same repeatspecification. There are two forms for the repeat rule: named andshort.
A named repeat rule is useful when the same set of repeats must beused several times in a block. It is specified using <rule1=item1,item2, item3,…, itemN>, where N is the number of times the blockshould be repeated. On each repeat of the block, the entireexpression, ‘<…>’ will be replaced first with item1, and then withitem2, and so forth until N repeats are accomplished. Once a namedrepeat specification has been introduced, the same repeat rule may beusedin the current block by referring only to the name(i.e. <rule1>.
A short repeat rule looks like <item1, item2, item3, …, itemN>. Therule specifies that the entire expression, ‘<…>’ should be replacedfirst with item1, and then with item2, and so forth until N repeatsare accomplished.
The following predefined named repeat rules are available:
Non-Fortran files use a separate syntax for defining template blocksthat should be repeated using a variable expansion similar to thenamed repeat rules of the Fortran-specific repeats. The template rulesfor these files are:
numpy.distutils.misc_util.get_numpy_include_dirs