def main():
scripts = sys.argv[1:]
if not scripts:
print "Version: %s (Python %s)" % (version, ".".join([str(x) for x in sys.version_info]))
print "Usage: bbfreeze SCRIPT1 [SCRIPT2...]"
print " creates standalone executables from python scripts SCRIPT1,..."
print
sys.exit(0)
f = Freezer()
for x in scripts:
f.addScript(x)
f()
def main():
scripts = sys.argv[1:]
if not scripts:
print "Version: %s (Python %s)" % (version, ".".join([str(x) for x in sys.version_info]))
print "Usage: bbfreeze SCRIPT1 [SCRIPT2...]"
print " creates standalone executables from python scripts SCRIPT1,..."
print
sys.exit(0)
f = Freezer()
for x in scripts:
f.addScript(x)
f()
includes = [ 'neural.api', 'neural.runner.api',
'neural_experiments.digits.api' ]
excludes = [ 'apptools', 'ets', 'etsdevtools', 'pyface', 'PIL',
'PyQt4', 'PySide', 'sip', 'wx' ]
# Include MKL shared libraries that cannot be detected automatically.
try:
import mkl
except ImportError:
pass
else:
def add_shared_library(mf, m, filename):
n = mf.createNode(SharedLibrary, os.path.basename(filename))
n.filename = filename
mf.createReference(m, n)
def recipe_mkl(mf):
m = mf.findNode('mkl')
deps = getDependencies(m.filename)
mkl_libs = filter(lambda lib: 'libmkl' in lib, deps)
mkl_dir = os.path.split(mkl_libs[0])[0]
for lib in ['libmkl_def.so', 'libmkl_mc.so']:
add_shared_library(mf, m, os.path.join(mkl_dir, lib))
includes.append('mkl')
bbfreeze.recipes.recipe_mkl = recipe_mkl
freezer = Freezer('neural-0.1', includes=includes, excludes=excludes)
freezer.addScript('runner.py')
freezer()
