mrakitin

# -*-ruby-*-
Vagrant.configure("2") do |config|
    # From https://app.vagrantup.com/metaswitch-its/boxes/centos7-min-xfce
    config.vm.box = "metaswitch-its/centos7-min-xfce"
    config.vm.hostname = "um2020"
    config.vm.network "private_network", ip: "10.10.10.10"
    config.vm.provider "virtualbox" do |v|
        v.memory = 8192
        v.cpus = 2
        # Display the VirtualBox GUI when booting the machine

mrakitin

#!/bin/bash

set -e

bib_src="$HOME/Brookhaven National Laboratory/NSLS-II SUF AI-ML - Beamline Optimization/LAB-20-2261_BL-opt.bib"
xml_src="$HOME/Brookhaven National Laboratory/NSLS-II SUF AI-ML - Beamline Optimization/LAB-20-2261_BL-opt.xml"
xml_dest="$HOME/Library/Containers/com.microsoft.Word/Data/Library/Application Support/Microsoft/Office/Sources.xml"
binary="/Applications/JabRef.localized/JabRef.app/Contents/MacOS/JabRef"

# Convert .bib file to .xml:

mrakitin

"""
This was developed on 03/12/2020 during the ALS hackathon for the COSMIC beamline.
"""
from ophyd import PVPositioner, EpicsSignal, EpicsSignalRO, Component as Cpt


class ALSMotor(PVPositioner):
    setpoint = Cpt(EpicsSignal, 'ao-MO:DVAL')
    readback = Cpt(EpicsSignalRO, 'ai-MO:DRBV')
    stop_signal = Cpt(EpicsSignal, 'bo-MO:STOP')

mrakitin

import bluesky.plan_stubs as bps
import bluesky.plans as bp
from bluesky.callbacks.best_effort import BestEffortCallback
from bluesky.run_engine import RunEngine
from bluesky.utils import install_kicker
from databroker import Broker
from ophyd.sim import det, motor
import matplotlib.pyplot as plt

plt.ion()

mrakitin

import bluesky.plan_stubs as bps
import bluesky.plans as bp
from bluesky.callbacks.best_effort import BestEffortCallback
from bluesky.run_engine import RunEngine
from bluesky.utils import install_kicker
from databroker import Broker
from ophyd.sim import det, motor
import matplotlib.pyplot as plt

plt.ion()

mrakitin

import datetime
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt


d = pd.read_html('http://www.espn.com/nfl/superbowl/history/winners', header=1)
scores = []
for s in d[0]['RESULT']:
    parts = s.split(',')

mrakitin

mrakitin

Keybase proof

I hereby claim:

• I am mrakitin on github.
• I am mrakitin (https://keybase.io/mrakitin) on keybase.
• I have a public key ASCq44aRJAKRAJmSxGRHz8-wYzIs3bcOQK6hTENXKPXR8Ao

To claim this, I am signing this object:

mrakitin

import random
import time

from collections import deque
from threading import Thread

import zmq

import numpy as np
import pandas as pd

mrakitin

import cv2
import matplotlib.pyplot as plt


class LaptopCamera:
    def __init__(self, cam_id=0):
        self.cam_id = cam_id
        # There must be some "lazy" way to initialize it
        self.cap = cv2.VideoCapture(cam_id)
        self.cap.release()