ianlini

In [1]: def a(keys):
   ...:     d = {}
   ...:     for key in keys:
   ...:         inner_d = d.setdefault(key, {})
   ...:     return d
   ...:

In [2]: def b(keys):
   ...:     d = {}
   ...:     for key in keys:

ianlini

#NoEnv  ; Recommended for performance and compatibility with future AutoHotkey releases.
; #Warn  ; Enable warnings to assist with detecting common errors.
SendMode Input  ; Recommended for new scripts due to its superior speed and reliability.
SetWorkingDir %A_ScriptDir%  ; Ensures a consistent starting directory.
SetBatchLines, -1
Process, Priority,, High

Opacity := 200  ; [0, 255] or off
Height := 0.4  ; [0., 1.]

ianlini

class WordReader(Iterator):
    def __init__(self, fp=sys.stdin):
        self.fp = fp

    def __next__(self):
        word = ''
        while True:
            c = self.fp.read(1)
            if c is None:
                if word:

ianlini

#!/bin/bash
set -e
LOG_FILE='/var/log/motion/motion.log'
WEBHOOK_URL='https://hooks.slack.com/services/...'
USERNAME='motion'
CHANNEL='camera'

function send_slack_message {
  DATA="payload={\"username\": \"${USERNAME}\", \"channel\": \"${CHANNEL}\", \"text\": \"$1\"}"
  echo "data: ${DATA}"

ianlini

# Rename this distribution example file to motion.conf
#
# This config file was generated by motion 4.1.1
# Documentation:  /usr/share/doc/motion/motion_guide.html

############################################################
# Daemon
############################################################

# Start in daemon (background) mode and release terminal (default: off)

ianlini

import tensorflow as tf
import scipy.sparse as ss
import numpy as np


def scipy_run(sess, result, X, tf_indices, tf_id_values, tf_weight_values,
              tf_dense_shape):
    row_nnz = np.diff(X.indptr)
    indices = np.asarray([[row_i, col_i]
                          for row_i, nnz in enumerate(row_nnz)