cshenton

#include <assert.h>

#define COBJMACROS
#include <windows.h>
#include <d3d11_1.h>
#include <d3dcompiler.h>

//////////////////////////////////////////////////////////////////////////////////////////////////////////////

#define TITLE "D3D11 Triangle C"

cshenton

package block_allocator

// Allocator based on Sebastian Aaltonen's Offset Allocator: 
// https://github.com/sebbbi/OffsetAllocator/blob/main/offsetAllocator.cpp

import "core:fmt"
import "core:math/bits"
import "core:math/rand"

assert_allocator_layout_good :: proc(allocator: ^Block_Allocator) {

jdah

#pragma once

#include "util/types.hpp"
#include "util/std.hpp"
#include "util/ndarray.hpp"
#include "util/collections.hpp"
#include "util/rand.hpp"
#include "util/hash.hpp"
#include "util/assert.hpp"
#include "util/bitset.hpp"

nymous

Logging setup for FastAPI

This logging setup configures Structlog to output pretty logs in development, and JSON log lines in production.

Then, you can use Structlog loggers or standard logging loggers, and they both will be processed by the Structlog pipeline (see the hello() endpoint for reference). That way any log generated by your dependencies will also be processed and enriched, even if they know nothing about Structlog!

Requests are assigned a correlation ID with the asgi-correlation-id middleware (either captured from incoming request or generated on the fly). All logs are linked to the correlation ID, and to the Datadog trace/span if instrumented. This data "global to the request" is stored in context vars, and automatically added to all logs produced during the request thanks to Structlog. You can add to these "global local variables" at any point in an endpoint with `structlog.contextvars.bind_contextvars(custom

richiejarvis

#!/usr/bin/env python3
from __future__ import print_function
import sys
import os
import time
import asyncio
from ably import AblyRest
my_path = os.path.abspath(__file__)  # Find the full path of this python script
# get the path location only (excluding script name)
base_dir = my_path[0:my_path.rfind("/")+1]

Phate334

version: "3"

services:
  janusgraph:
    image: janusgraph/janusgraph:0.6.2
    container_name: jce-janusgraph
    env_file:
      - janusgraph.env
    ports:
      - "8182:8182"

nylonee

{
	"info": {
		"_postman_id": "07c117b0-7200-41b9-94fc-5836a6b08d7b",
		"name": "Kafka Rest Proxy API",
		"description": "Adapted from https://docs.confluent.io/current/kafka-rest/api.html",
		"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
	},
	"item": [
		{
			"name": "v2",

inlife

// Sample for reading a file asynchronously using libuv
// taken from https://www.snip2code.com/Snippet/247423/Sample-for-reading-a-file-asynchronously

#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <uv.h>

static uv_fs_t openReq;
static uv_fs_t readReq;

kbarbary

// Doing the operation:
//
//                         | a a a a |  | y |
// x * A * y = [ x x x x ] | a a a a |  | y |
//                         | a a a a |  | y |
//                         | a a a a |  | y |
//
// with SIMD intrinics (specifically AVX).
//
// adapted from https://gist.github.com/rygorous/4172889

drmalex07

README

Create a template service file at /etc/systemd/system/secure-tunnel@.service. The template parameter will correspond to the name of target host:

[Unit]
Description=Setup a secure tunnel to %I
After=network.target