clarle

Keybase proof

I hereby claim:

• I am clarle on github.
• I am clarle (https://keybase.io/clarle) on keybase.
• I have a public key ASAh6aiLWK3_56wuoAALnjzZykl57rHw4osXrK4yYTmG4wo

To claim this, I am signing this object:

clarle

clarle

import argparse
import cv2
import dlib
import json
import numpy
import skimage
from pathlib import Path
from tqdm import tqdm
from umeyama import umeyama

clarle

%matplotlib inline
import numpy as np
import cv2
import imutils

from matplotlib import pyplot as plt
from imutils.object_detection import non_max_suppression

hog = cv2.HOGDescriptor()
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())

clarle

- (void)signUpUser:(NSString *)username password:(NSString *)password email:(NSString *)email completion:(void (^)(FIRUser *user,  NSError *error))completion {
    [[FIRAuth auth]
     createUserWithEmail:email
     password:password
     completion:^(FIRUser *user, NSError *error) {
         FIRDatabaseReference *ref = [[FIRDatabase database] reference];
         FIRDatabaseReference *userRef = [[ref child:@"users"] child:username];
         [userRef observeSingleEventOfType:FIRDataEventTypeValue withBlock:^(FIRDataSnapshot *snapshot) {
             if (snapshot && snapshot.value[@"uid"] == nil) {
                 [userRef setValue:user.uid forKey:@"uid"];

clarle

import dendropy
from dendropy.simulate import treesim
from dendropy.model.discrete import Hky85, simulate_discrete_char_dataset

# Generate a simulated tree
taxa = dendropy.TaxonNamespace(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'])
tree_model = treesim.birth_death_tree(birth_rate=1.0, death_rate=0.5, taxon_namespace=taxa)

# Use the HKY85 model for character mutation
seq_model = Hky85()

clarle

library(dplyr)
library(tidyr)
library(lubridate)

# Parse data from HH:MM:SS format into something that can be used by `lubridate`
hours %>% 
  separate(Duration, into = c("hours", "minutes", "seconds"), sep = ":", convert = TRUE) %>% 
  summarize(total_time = duration(hour = sum(hours), minute = sum(minutes), second = sum(seconds)))

clarle

from math import log

def round_base_2(n):
    return 2**round(log(n)/log(2))

def closest_mersenne(n):
    rb2 = round_base_2(n)
    # We got the closest power of 2, so you can just drop the first digit and replace all others with 1
    result = bin(rb2)[3:].replace('0', '1')
    return int(result, 2)

clarle

var _       = require('lodash'),
    express = require('express'),
    request = require('request'),
    app = express();

var API_KEY = '1Kfdqvy6wHmvJ4LDyAVOl7saCBoKHcSb';

app.get('/products/:id', function(req, res) {
    var ourData = {
        age_group: '0-1 years old',

clarle

import random
import csv

DAYS = 7
HOURS = 24

data = []

for day in range(DAYS):
    for hour in range(HOURS):