lobrien

from sklearn.cluster import KMeans
import numpy as np

data = np.array([101, 107, 106, 199, 204, 205, 207, 306, 310, 312, 312, 314, 317, 318, 380, 377, 379, 382, 466, 469, 471, 472, 557, 559, 562, 566, 569])

kmeans = KMeans(n_clusters=5).fit(data.reshape(-1,1))
kmeans.predict(data.reshape(-1,1))

# array([4, 4, 4, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 3,
#       3, 3, 3, 3], dtype=int32)

lobrien

import numpy as np
import tensorflow as tf

def binary_encode(i, num_digits):
    return np.array([i >> d & 1 for d in range(num_digits)])

def fizz_buzz_encode(i):
    if   i % 15 == 0: return np.array([0, 0, 0, 1])
    elif i % 5  == 0: return np.array([0, 0, 1, 0])
    elif i % 3  == 0: return np.array([0, 1, 0, 0])

lobrien

open System.Text.RegularExpressions

// Seems to be a good capturing pattern, it's "Capture everything not in the list (that is ['?']) until the closing )
/* 

\(([^?]+)\)

*/

Regex.Matches (cref, "(([^?=&]+))") |> Seq.head |> fun mtch -> mtch.Value

lobrien

lobrien

If you're like me you have a dir like ~/Workspace/Github where all your git repos live. I often find myself making a change in a repo, getting side tracked and ending up in another repo, or off doing something else all together. After a while I end up with several repos with modifications. This script helps me pick up where I left off by checking the status of all my repos, instead of having to check each one individually.

Usage:

git-status [directory]

This will run git status on each repo under the directory specified. If called with no directory provided it will default to the current directory.

lobrien

const I = x => x;
const K = x => y => x;
const A = f => x => f(x);
const T = x => f => f(x);
const W = f => x => f(x)(x);
const C = f => y => x => f(x)(y);
const B = f => g => x => f(g(x));
const S = f => g => x => f(x)(g(x));
const P = f => g => x => y => f(g(x))(g(y));
const Y = f => (g => g(g))(g => f(x => g(g)(x)));

lobrien

I had breakfast recently with a friend who's a former Republican member of Congress. Here's what he said:

Him: Trump is no Republican. He’s just a big fat ego.

Me: Then why didn’t you speak out against him during the campaign?

Him: You kidding? I was surrounded by Trump voters. I’d have been shot.

Me: So what now? What are your former Republican colleagues going to do?

lobrien

import numpy as np
from keras.models import Sequential
from keras.layers.core import Activation, Dense
from keras.optimizers import SGD

# Allocate the input and output arrays
X = np.zeros((4, 2), dtype='uint8')
y = np.zeros(4, dtype='uint8')

# Training data X[i] -> Y[i]

lobrien

uti	id	title	platforms	packages
com.xamarin.workbook	7e650a9b-4216-4b28-945c-217cd85530b2	FlexLayout Options	Android	id version Xamarin.Forms 3.0.0.482510

lobrien

;FLAVOR:Marlin
;TIME:7421
;Filament used: 5.56723m
;Layer height: 0.2
;Generated with Cura_SteamEngine 3.3.1
M190 S60
M104 S200
M109 S200
M82 ;absolute extrusion mode
G28 ;Home