awreece

import subprocess

def shell(*args, **kwargs):
    """Execute a shell command and return the output as a string.
    Any additional kwargs are passed directly to subprocess.run.
    Examples:
        shell("date")
        shell("date", "-u")
        message = "hello, world"
        shell("echo", message)

awreece

# Comments in makefiles follow the same form as comments in bash.
# Makefiles need to be named "Makefile" or "makefile".

# In makefiles, variables are declared in the following manner (the entire
# string after the equals and up to but excluding the newline is the 
# content of the variable) 
# 
# Note: there are other ways to declare variables that are not explored in this 
# tutorial.
TARGET = my_cc

awreece

securityDefinitions:
  api_key:
    in: query
    name: key
    type: apiKey
  api_token:
    in: query
    name: token
    type: apiKey

awreece

void print_backtrace(int skip) {
	void *backtrace_array[MAX_STACK];
	int stack_size = backtrace(backtrace_array, MAX_STACK);
	backtrace_symbols_fd(&backtrace_array[skip+1], 
	    stack_size - skip - 1, STDERR_FILENO);
}

void signal_backtrace(int signum) {
	fprintf(stderr, "%s\n\n", strsignal(signum));
	print_backtrace(2);

awreece

#!/usr/bin/env ruby
require 'digest'

module VanitySha
  extend self

  COMMITTER_PATTERN = /^committer .* \<.*\> (?<timestamp>\d+)(?<timezone>.*$)/
  AUTHOR_PATTERN = /^author .* \<.*\> (?<timestamp>\d+)(?<timezone>.*$)/

  TIMESTAMP_DELTA_MAX = 10 * 24 * 60 * 60

awreece

#!/usr/bin/python
# -*- coding: utf-8 -*-

import argparse
import blessed
from collections import defaultdict
import csv
import jinja2
import logging
import numpy

awreece

CREATE TABLE metrics (
    id bytea NOT NULL primary key,
    description text,
    name text COLLATE pg_catalog."C"
);

CREATE TABLE contribution_metrics (
    last_update_on timestamp with time zone,
    metric bytea NOT NULL,
    projected double precision,

awreece

psql> explain analyze select investments.id 
                      from contributions
                      JOIN investments ON contributions.investment_id = investments.id
                      JOIN  contribution_investment_metrics cim on cim.investment_id = investments.id
                      WHERE contributions.id = '\x58c9c0d3ee944c48b32f814d';
                                                                                                                        QUERY PLAN                                                                                                          
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 Nested Loop  (cost=27098.32..27106.89 rows=1 width=13) (actual time=1322.324..1322.329 rows=1 loops=1)
   Join Filter: (contributions.investment_id = investments.id)
   ->  Merge Join  (cost=27098.

awreece

import gdb
from datetime import datetime
import sys

if sys.version_info > (3, 0):
    raw_input = input

#
# The gdb constant COMPLETE_EXPRESSION was added in gdb 7.7. For earlier
# version of gdb, we use COMPLETE_SYMBOL which is close enough.

awreece

areece@areece-laptop:~/coding/gomalloc$ ./malloccheck --checkcache=true --procs=1
Malloc check ran with 1 procs for 1000000 iters of size 16
	Cache line shared 0 (0.00%) times
	Cache was reused 993536 (99.35%) times
areece@areece-laptop:~/coding/gomalloc$ ./malloccheck --checkcache=true --procs=2
Malloc check ran with 2 procs for 1000000 iters of size 16
	Cache line shared 128186 (12.82%) times
	Cache was reused 859014 (85.90%) times
areece@areece-laptop:~/coding/gomalloc$ ./malloccheck --checkcache=true --procs=3
Malloc check ran with 3 procs for 1000000 iters of size 16