hmurraydavis

import json 
import typing
import sys

'''
What this does:
Take in a representative jsonb blob and generate hierarchical sql accessors for 
all its fields. You can use this with a querry like: 
  select twi.workflow_state, twi.workflow_type  from temporal_workflow_indicies twi where twi.workflow_type = 'siteVisitWorkflow' limit 5;
to grab some representative JSON and then put it into Sigma with something like: 

hmurraydavis

import json 
import typing
import sys

'''
What this does:
Take in a representative jsonb blob and generate hierarchical sql accessors for all its fields. 

Usage: 
  python3 jsonbSQLAccessorGenerator.py 'representative json blob'

hmurraydavis

from math import sin, atan, degrees

numberOfShelves = 13
shelfSpacing = 8.0 ##inches
shelfBaseOffsetFromFloor = 4.0 ##inches
l_s = 5.0 ## inches, length of the shelf before the pole to the books
poleHeight = 106.0 ## inches, 8' 8" in inches
sumM_b = 0

for shelfNumber in range(0,numberOfShelves):

hmurraydavis

import cv2
import numpy as np
import pyscreenshot as ss
import matplotlib.pyplot as plt

im=ss.grab()
im = np.array( im.convert('RGB') ) 

numPixels = 1.0 * im.shape[0] * im.shape[1]

hmurraydavis

def actualTime(a, m, b):
    te = (a + (4*m) + b )/6
    return te
    
def variance(a, b):
    var = ( (b-a)/6 )**2
    return var

hmurraydavis

message = raw_input('Message to code is: ')

shift_value = 1

newMessage = ''
for letter in message:
    letter = ord(letter) + shift_value
    newMessage = newMessage +  chr(letter)

print 'Message is: ', newMessage

hmurraydavis

import pylab as plt
plt.clf(); plt.close()

coNos = [1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0,9.0]
readingScores=[526,493,500,494,483,481,459,449,405]
mathScores =  [562,496,487,492,466,483,468,421,387]
scienceScores=[542,501,502,514,470,488,478,447,415]

countries = ["Singapore",
             "OECD\nAverage",

hmurraydavis

function calculateElasticModulusInstron(x,y)
    %%%% Compute the elastic modulus from experamental data.
    %%%% INPUT VARIABLE DEF: x=load of sample from experamental data, 
    %%%%                     y=elongation of sample from experamental data.

    %%prep matlab environment:
    clc; clf;

    %% Define length of the slope which you want to calculate Elastic Modulus for:
    lengths1 = 300:1800;

hmurraydavis

%% Prepare environment
clear all; clc; clear figure; 

%initialize vecctors for plotting:
Tgraph=[];
Wgraph=[];

%cycle through temperature range:
for T1=273.6:340.6
	Tgraph=[Tgraph,T1];

hmurraydavis

#! /usr/bin/python

"""Copyright 2011 Phidgets Inc.
This work is licensed under the Creative Commons Attribution 2.5 Canada License.
To view a copy of this license, visit http://creativecommons.org/licenses/by/2.5/ca/
"""

__author__="Adam Stelmack"
__version__="2.1.8"
__date__ ="14-Jan-2011 2:29:14 PM"