TypeError                                 Traceback (most recent call last)
/usr/lib/python2.7/dist-packages/IPython/utils/py3compat.pyc in execfile(fname, *where)
    176             else:
    177                 filename = fname
--> 178             __builtin__.execfile(filename, *where)

/home/ted/quality-provision.py in <module>()
     83
     84 x0=[.1,.1]
---> 85 result=fmin_l_bfgs_b(W,x0,bounds=[(.1,1),(.1,1)])

/usr/lib/python2.7/site-packages/scipy/optimize/lbfgsb.pyc in fmin_l_bfgs_b(func, x0, fprime, args, approx_grad, bounds, m, factr, pgtol, epsilon, iprint, maxfun, disp)
    172
    173     res = _minimize_lbfgsb(fun, x0, args=args, jac=jac, bounds=bounds,
--> 174                            **opts)
    175     d = {'grad': res['jac'],
    176          'task': res['message'],

/usr/lib/python2.7/site-packages/scipy/optimize/lbfgsb.pyc in _minimize_lbfgsb(fun, x0, args, jac, bounds, disp, maxcor, ftol, gtol, eps, maxiter, iprint, **unknown_options)
    292             n_function_evals += 1
    293             # Overwrite f and g:
--> 294             f, g = func_and_grad(x)
    295         elif task_str.startswith(asbytes('NEW_X')):
    296             # new iteration

/usr/lib/python2.7/site-packages/scipy/optimize/lbfgsb.pyc in func_and_grad(x)
    247     else:
    248         def func_and_grad(x):
--> 249             f = fun(x, *args)
    250             g = jac(x, *args)
    251             return f, g

/usr/lib/python2.7/site-packages/scipy/optimize/optimize.pyc in __call__(self, x, *args)
     53         self.x = numpy.asarray(x).copy()
     54         fg = self.fun(x, *args)
---> 55         self.jac = fg[1]
     56         return fg[0]
     57

TypeError: 'float' object has no attribute '__getitem__'