aaronlelevier

alias gitlog='git log --pretty=format:"%h%x09%an%x09%ad%x09%s"'
alias gs='git status'
alias gd='git diff'
alias gds='git diff --staged'
alias gl='git log'
alias ga='git add'
alias gb='git branch'
alias gc='git commit'
alias gco='git checkout'
alias gpr='git pull --rebase'

aaronlelevier

testuntilfail () {
    if [ $# -eq 0 ]
    then
        echo "Django test path must be specified"
    else
        RUNS_BEFORE_FAILURE=0
        while [ $? = 0 ]; do
            let RUNS_BEFORE_FAILURE=RUNS_BEFORE_FAILURE+1
            echo "Beginning run number: $RUNS_BEFORE_FAILURE"
            ./manage.py test $1

aaronlelevier

pullandpush () {
    if [ $# -eq 0 ]
    then
        echo "branch name not specified"
    else
        branch=$1
        git checkout master
        git pull --rebase
        git checkout $branch
        git rebase origin/master

aaronlelevier

from nose.result import TextTestResult as NoseTextTestResult

class TextTestResult(NoseTextTestResult):

    def getDescription(self, test):
        """
        Overrides the default test header, so the failed test name
        can be copied as is and syntax works to be able to run the
        single test "as copied" from this output.

aaronlelevier

#!/usr/bin/env python
import argparse
import functools
import json
import os
import timeit
from queue import Queue
from threading import Thread

import requests

aaronlelevier

{
	"binary_file_patterns":
	[
		"*min.js",
		"*.debug.js",
		"*prod.js",
		"*.dex",
		"*.zip",
		"*.bin",
		".coverage",

aaronlelevier

[{
        "keys": ["alt+up"],
        "command": "scroll_lines",
        "args": {
            "amount": 30.0
        }
    }, {
        "keys": ["alt+down"],
        "command": "scroll_lines",
        "args": {

aaronlelevier

alias gitlog='git log --pretty=format:"%h%x09%an%x09%ad%x09%s"'
alias gs='git status'
alias gd='git diff'
alias gds='git diff --staged'
alias gl='git log'
alias ga='git add'
alias gb='git branch'
alias gc='git commit'
alias gco='git checkout'
alias gpr='git pull --rebase'

aaronlelevier

# A very simple perceptron for classifying american sign language letters
import signdata
import numpy as np
import keras
from keras.models import Sequential
from keras.layers import Dense, Flatten, Dropout, BatchNormalization, Conv2D, MaxPooling2D
from keras.utils import np_utils
import wandb
from wandb.keras import WandbCallback

aaronlelevier

# A very simple perceptron for classifying american sign language letters
import signdata
import numpy as np
import keras
from keras.models import Sequential
from keras.layers import Dense, Flatten, Dropout, BatchNormalization, Conv2D, MaxPooling2D
from keras.utils import np_utils
import wandb
from wandb.keras import WandbCallback
from keras.optimizers import RMSprop