Felix F Zimmermann fzimmermann89

## run_batch2.py
from __future__ import print_function
import threading
from joblib import Parallel, delayed
import Queue
import os

# Fix print
_print = print
_rlock = threading.RLock()
def print(*args, **kwargs):

## mattermost2html.py
###### SETTINGS ######
url= '"
username = ""
password = ""
team_name = ""
channel_name = ""
#######################

import os
import requests

## radial_profile.py
def radial_profile(data, center=None, calcStd=False, os=1):
    '''
    calculates a radial profile of ND data around center. will ignore nans
    calStd: calculate standard deviation, return tuple of (profile, std)
    os: oversample by a factor. With default 1 the stepsize will be 1 pixel, with 2 it will be .5 pixels etc.
    '''
    if center is None:
        center = np.array(data.shape)//2
    if len(center) != data.ndim:
        raise TypeError('center should be of length data.ndim')

## ifi.py
import numpy as np

#this accum class is ripped out of some of my other code, I think it should work standalone now
#or we just do it another way, we just need a mean^^
class accumulator:
    '''
    simple accumulator for large number of data points. allows retrieval of mean and stdev
    '''
    def __init__(self, like=None):
        self._n = 0

## leaflet slider
<!DOCTYPE html>
<html>
<head>
	<title>Leaflet debug page</title>

	<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.0.0-beta.2/leaflet.css" />
	<script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.0.0-beta.2/leaflet.js"></script>
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<link rel="stylesheet" href="screen.css" />
	from __future__ import print_function
	import threading
	from joblib import Parallel, delayed
	import Queue
	import os

	# Fix print
	_print = print
	_rlock = threading.RLock()
	def print(args, *kwargs):
	###### SETTINGS ######
	url= '"
	username = ""
	password = ""
	team_name = ""
	channel_name = ""
	#######################

	import os
	import requests
	def radial_profile(data, center=None, calcStd=False, os=1):
	'''
	calculates a radial profile of ND data around center. will ignore nans
	calStd: calculate standard deviation, return tuple of (profile, std)
	os: oversample by a factor. With default 1 the stepsize will be 1 pixel, with 2 it will be .5 pixels etc.
	'''
	if center is None:
	center = np.array(data.shape)//2
	if len(center) != data.ndim:
	raise TypeError('center should be of length data.ndim')
	import numpy as np

	#this accum class is ripped out of some of my other code, I think it should work standalone now
	#or we just do it another way, we just need a mean^^
	class accumulator:
	'''
	simple accumulator for large number of data points. allows retrieval of mean and stdev
	'''
	def __init__(self, like=None):
	self._n = 0
	<!DOCTYPE html>
	<html>
	<head>
	<title>Leaflet debug page</title>

	<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.0.0-beta.2/leaflet.css" />
	<script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.0.0-beta.2/leaflet.js"></script>
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<link rel="stylesheet" href="screen.css" />