In [1]:

    

# !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on 20180410

@author: zhangji
"""

%pylab inline
pylab.rcParams['figure.figsize'] = (18.5, 10.5)
fontsize = 40

import os
import importlib
import numpy as np
import scipy as sp
import pandas as pd
import re
from scanf import scanf
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import axes3d, Axes3D
from scipy.interpolate import interp1d
from IPython.display import display, HTML
from scipy import interpolate, integrate, optimize
from codeStore import support_fun as spf
from src import slenderBodyTheory as slb
from src import stokesletsInPipe as stlpp
from tqdm.notebook import tqdm as tqdm_notebook

PWD = os.getcwd()
np.set_printoptions(linewidth=130, precision=5)


    

    




Populating the interactive namespace from numpy and matplotlib

In [2]:

    

greenFun = stlpp.detail_light(threshold=100)
greenFun.solve_prepare_light()


    

    
Out[2]:





True

In [4]:

    

greenFun.set_b(b=0.1)
greenFun.solve_prepare_b()
mij = greenFun.solve_u_light(0.2, 0.2, 0.2)


    

In [7]:

    

t1 = np.random.sample(3)
%timeit greenFun.solve_u_light(*t1)


    

    




387 ms ± 2.05 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)