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"""
NumPy
==========
You can support the development of NumPy and SciPy by purchasing
the book "Guide to NumPy" at
http://www.trelgol.com
It is being distributed for a fee until Oct. 2010 to
cover some of the costs of development. After the restriction period
it will also be freely available.
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:
from numpy.__config__ import show as show_config
from version import version as __version__
from _import_tools import PackageLoader
def pkgload(*packages, **options):
loader = PackageLoader(infunc=True)
return loader(*packages, **options)
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
# 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__ = ['__version__', 'pkgload', 'PackageLoader',
'ScipyTest', 'NumpyTest', 'show_config']
__all__ += core.__all__
__all__ += lib.__all__
__all__ += ['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__
import add_newdocs
__all__.extend(['add_newdocs'])
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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