TaylorMutch

package main

import (
	"crypto"
	_ "crypto/sha512"
	"fmt"
)

func main() {

TaylorMutch

Keybase proof

I hereby claim:

• I am taylormutch on github.
• I am taylorm (https://keybase.io/taylorm) on keybase.
• I have a public key ASAkprTThdWPtgBs-w2JCFq6dzV2KLZ0mfiXuFbs2SlyBQo

To claim this, I am signing this object:

TaylorMutch

// See line 300 for changes that differ from OrbitControls.js
// @author TaylorMutch / https://github.com/TaylorMutch

/**
 * @author qiao / https://github.com/qiao
 * @author mrdoob / http://mrdoob.com
 * @author alteredq / http://alteredqualia.com/
 * @author WestLangley / http://github.com/WestLangley
 * @author erich666 / http://erichaines.com
 */

TaylorMutch

float when_eq(float x, float y) {
	return 1.0 - abs(sign(x - y));
}

float when_neq(float x, float y) {
	return abs(sign(x - y));
}

float when_gt(float x, float y) {
	return max(sign(x - y), 0.0);

TaylorMutch

"""
Extracts JPGs from a PDF. Inspired by this StackOverflow post:
https://stackoverflow.com/questions/2693820/extract-images-from-pdf-without-resampling-in-python
"""

import sys

with open(sys.argv[1],"rb") as file:
    file.seek(0)
    pdf = file.read()

TaylorMutch

import os, sys

exts = ['.py', '.ini', '.c', '.h']
count_empty_line = True
here = os.path.abspath(os.path.dirname(sys.argv[0]))

def read_line_count(fname):
    count = 0
    for line in open(fname).readlines():
        if count_empty_line or len(line.strip()) > 0:

TaylorMutch

>>> from jerilyn import build_night_classification
>>> data = build_night_classification('path/to/sodar_data', 'path/to/classification.csv')

# Keys for accessing the top layer of data
>>> data[0].keys()
dict_keys(['mcrae_speeds', 'date', 'meta', 'primet_directions', 'mcrae_directions', 'primet_speeds'])

# Keys for accessing the criterion
>>> data[0]['meta'].keys()
dict_keys(['pulsing', 'mesoscale_forcing', 'date', 'direction', 'year', 'month', 'day', 'valley_jet', 'similar'])

TaylorMutch

'''
    Collect each of Jerilyn's nights into a dictionary structure, and packs and reloads it from a db if necessary for speed.
'''

import os
import sys
import csv
import sqlite3
import datetime
from sodar_utils import SodarCollection, register_adapters, datetime_to_name

TaylorMutch

# Compare two nights

from sodar_utils import SodarCollection
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors as col
import matplotlib as mpl

def cyclic_colormap():

TaylorMutch

from sodar_utils import SodarCollection
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors as col

sodars = SodarCollection('sodar_data/Primet')
data = sodars.night_array('direction')

def cyclic_colormap():