rich-hart

Folding@home Research Project: The CORONAVIRUS PROJECT

These projects are part of Folding@home’s efforts to assist researchers around the world taking up the global fight against COVID-19.

These projects are CPU projects to simulate COVID-19 proteins to learn about their dynamics and function. Learn more at https://foldingathome.org/

To participate. You need to install the Folding@home program on your PERSONAL computer. Then in your webbrowser, go to the link https://client.foldingathome.org/ . Before you begin, you will have to choose between three options. The first is your controbution preference. If you would like to contibute to the COVID-19 project, find the setting I support research fighting... and select COVID-19 (UPDATE: Due to the current emergency in 04/20, selecting Any disease will prioritize COVID-19 research by default). The second setting is Power and controls the average wattage the Folding@home program will draw from your co

rich-hart

test

rich-hart

from networkx.algorithms.components import connected_components
import networkx as nx
import random
from fuzzywuzzy import fuzz
import numpy as np
import csv

RANDOMIZE = False
#import ipdb; ipdb.set_trace()
with open('responces.csv', newline='\n') as csvfile:

rich-hart

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

while(1):

    # Take each frame
    _, frame = cap.read()

rich-hart

import cv2
image = cv2.imread('Tribble.JPG')
hsv_image = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)

BLUE_RANGE_MIN_HSV = (100, 80, 70)
BLUE_RANGE_MAX_HSV = (185, 255, 255)

mask = cv2.inRange(hsv_image, BLUE_RANGE_MIN_HSV, BLUE_RANGE_MAX_HSV)

result = cv2.bitwise_and(image, image, mask=mask)

rich-hart

import os
from os.path import dirname, realpath, join
import unittest
import argparse
import json
import numpy
import cv2
import cv
B_MEAN = 218
B_STDEV = 10.0

rich-hart

/users/:userId/recommendations/:model/:id
/resources/canonical/:url/blacklist
/popular/update
/users
/resources/count
/addontrain/signup/:configId.js
/users/:userId/recent
/url
/url/lookup/:url
/popular

rich-hart

app.post('/login', users.authenticate)
app.get('/apps', apps.read)
app.get('/apps/:appId', apps.readOne)
app.put('/apps/:appId', apps.update)

app.get('/dynimg/:appId/bsin/:userId/:model/:recNum/:notificationId.:ext', dynimg)
app.get('/dynimg/:appId/email/:userId/:model/:recNum/:notificationId.:ext', dynimg)
app.get('/dynimg/:appId/user_id/:userId/:model/:recNum/:notificationId.:ext', dynimg)
// dynlink and dynsubject can use :idType since there is no conflict in path arity
app.get('/dynlink/:appId/:idType/:userId/:model/:recNum/:notificationId', dynlink)

rich-hart

import unittest

def find_slope(x1,y1,x2,y2):
    slope = (y2 - y1) / (x2 - x1)
    return slope

def find_intercept(x,y,slope):
    intercept = y - slope * x
    return intercept

rich-hart

import unittest

def find_slope(x1,y1,x2,y2):
    slope = (y2 - y1) / (x2 - x1)
    return slope

def find_intercept(x,y,slope):
    intercept = y - slope * x
    return intercept