@feature('cprogram', 'cshlib', 'cstaticlib')
@after('apply_lib_vars')
def apply_obj_vars(self):
	v = self.env
	lib_st           = v['LIB_ST']
	staticlib_st     = v['STATICLIB_ST']
	libpath_st       = v['LIBPATH_ST']
	staticlibpath_st = v['STATICLIBPATH_ST']
	rpath_st         = v['RPATH_ST']

	app = v.append_unique

	if v['FULLSTATIC']:
		v.append_value('LINKFLAGS', v['FULLSTATIC_MARKER'])

	for i in v['RPATH']:
		if i and rpath_st:
			app('LINKFLAGS', rpath_st % i)

	for i in v['LIBPATH']:
		app('LINKFLAGS', libpath_st % i)
		app('LINKFLAGS', staticlibpath_st % i)

	if v['STATICLIB']:
		v.append_value('LINKFLAGS', v['STATICLIB_MARKER'])
		k = [(staticlib_st % i) for i in v['STATICLIB']]
		app('LINKFLAGS', k)

	# fully static binaries ?
	if not v['FULLSTATIC']:
		if v['STATICLIB'] or v['LIB']:
			v.append_value('LINKFLAGS', v['SHLIB_MARKER'])

	app('LINKFLAGS', [lib_st % i for i in v['LIB']])
Returns the cross validation maximum likelihood bandwidth parameter.
dataset/ETHPy150Open appcelerator-archive/poc-nodejs-desktop/Resources/nodejs/builds/linux/node/lib/node/wafadmin/Tools/ccroot.py/apply_obj_vars--crossover with--dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/nonparametric/_kernel_base.py/GenericKDE._cv_ml