jkfurtney

(defvar upgoer-five-keywords (split-string "a able about above accept across
act actually add admit afraid after afternoon again against age
ago agree ah ahead air all allow almost alone along already
alright also although always am amaze an and anger angry animal
annoy another answer any anymore anyone anything anyway apartment
apparently appear approach are area aren't arm around arrive as
ask asleep ass at attack attempt attention aunt avoid away baby
back bad bag ball band bar barely bathroom be beat beautiful
became because become bed bedroom been before began begin behind

jkfurtney

import fipy.tools.numerix as np
from fipy.terms import VanLeerConvectionTerm
import fipy as fp
import pylab as plt

# monkey patch VanLeerConvectionTerm so we can override
# __getGradient in the derived class
VanLeerConvectionTerm._getGradient = VanLeerConvectionTerm._VanLeerConvectionTerm__getGradient
VanLeerConvectionTerm._VanLeerConvectionTerm__getGradient = \
    lambda self, a, b: self._getGradient(a, b)

jkfurtney

; call trello2org interactively
; or pragmatically like this: (trello2org "c:/Users/jfurtney/blo-up-2-7.json")

(require 'json)

(defun convert-trello-json-file-to-org (trello-json-file)

  (let* ((board (json-read-file trello-json-file))
	 (board-name (cdr (assoc 'name (cdr board))))
	 (lists (cdr (assoc 'lists (cdr board))))

jkfurtney

import numpy as np
import pylab as plt
from skfmm import travel_time, distance
from scipy.interpolate import RectBivariateSpline
from scipy.optimize import fminbound
from math import sin

# Brachistochrone curve
# see: http://mathworld.wolfram.com/BrachistochroneProblem.html
b=1/np.pi

jkfurtney

import numpy as np
import pylab as plt
from sys import float_info
from math import sqrt
from skfmm import distance

N=11
phi = np.ones((N,N))
phi[5,5] = -1

jkfurtney

import numpy as np
import pandas as pd
import matplotlib; matplotlib.rcParams["savefig.directory"] = "."
from matplotlib import pyplot as plt
from scipy.spatial import cKDTree
from numpy.linalg import lstsq

data0 = np.loadtxt("S1-1_0m.log")
data1 = np.loadtxt("S1-1_3000m.log")
assert (data0[:,0] == data1[:,0]).all()

jkfurtney

import itasca as it
from itasca import gpa
import numpy as np
from scipy.constants import foot
from collections import defaultdict
import os
from scipy.spatial import cKDTree
import scipy

if os.path.exists("data.npy"):

jkfurtney

# This file was written by Jason Furtney and Wei Fu

# This file is an example of how to generate a surface mesh from lines
# in a DXF file. A vtk file is created of the mesh.

# you may have to install some Python packages to get this to work

import numpy as np
import ezdxf
import time

jkfurtney

import itasca as it
it.command("python-reset-state false")
import numpy as np
from itasca import zonearray as za

zid = za.ids()
zz_faces = set()

for i, neighbors in enumerate(za.neighbors()):
    this_zone_id = zid[i]

jkfurtney

import numpy as np
import scipy.spatial
import networkx as nx
import itasca as it
from itasca import ballarray as ba
from collections import defaultdict
import itertools

def draw_fragment(points,faces,i):
    gname = "tmp{}.geom".format(i)