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"""
NumPy
==========
Provides
1) An array object of arbitrary homogeneous items
2) Fast mathematical operations over arrays
3) Linear Algebra, Fourier Transforms, Random Number Generation
Documentation is available in the docstrings and at
http://www.scipy.org
"""
# We first need to detect if we're being called as part of the numpy setup
# procedure itself in a reliable manner.
try:
__NUMPY_SETUP__
except NameError:
__NUMPY_SETUP__ = False
if __NUMPY_SETUP__:
import sys as _sys
print >> _sys.stderr, 'Running from numpy source directory.'
del _sys
else:
try:
from numpy.__config__ import show as show_config
except ImportError, e:
msg = """Error importing numpy: you should not try to import numpy from
its source directory; please exit the numpy source tree, and relaunch
your python intepreter from there."""
raise ImportError(msg)
from version import version as __version__
from _import_tools import PackageLoader
def pkgload(*packages, **options):
loader = PackageLoader(infunc=True)
return loader(*packages, **options)
import add_newdocs
__all__ = ['add_newdocs']
pkgload.__doc__ = PackageLoader.__call__.__doc__
import testing
from testing import ScipyTest, NumpyTest
import core
from core import *
import lib
from lib import *
import linalg
import fft
import random
import ctypeslib
import ma
# Make these accessible from numpy name-space
# but not imported in from numpy import *
from __builtin__ import bool, int, long, float, complex, \
object, unicode, str
from core import round, abs, max, min
__all__.extend(['__version__', 'pkgload', 'PackageLoader',
'ScipyTest', 'NumpyTest', 'show_config'])
__all__.extend(core.__all__)
__all__.extend(lib.__all__)
__all__.extend(['linalg', 'fft', 'random', 'ctypeslib'])
if __doc__ is not None:
__doc__ += """
Available subpackages
---------------------
core --- Defines a multi-dimensional array and useful procedures
for Numerical computation.
lib --- Basic functions used by several sub-packages and useful
to have in the main name-space.
random --- Core Random Tools
linalg --- Core Linear Algebra Tools
fft --- Core FFT routines
testing --- Numpy testing tools
These packages require explicit import
f2py --- Fortran to Python Interface Generator.
distutils --- Enhancements to distutils with support for
Fortran compilers support and more.
Global symbols from subpackages
-------------------------------
core --> * (use numpy.* not numpy.core.*)
lib --> * (use numpy.* not numpy.lib.*)
testing --> NumpyTest
"""
def test(*args, **kw):
import os, sys
print 'Numpy is installed in %s' % (os.path.split(__file__)[0],)
print 'Numpy version %s' % (__version__,)
print 'Python version %s' % (sys.version.replace('\n', '',),)
return NumpyTest().test(*args, **kw)
test.__doc__ = NumpyTest.test.__doc__
if __doc__ is not None:
__doc__ += """
Utility tools
-------------
test --- Run numpy unittests
pkgload --- Load numpy packages
show_config --- Show numpy build configuration
dual --- Overwrite certain functions with high-performance Scipy tools
matlib --- Make everything matrices.
__version__ --- Numpy version string
"""
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