Nyaundi Brian danleyb2

## semantic-commit-messages.md

      
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                danleyb2
                / semantic-commit-messages.md
            
            
              Created
              September 7, 2022 20:33
                — forked from joshbuchea/semantic-commit-messages.md
            
              
                Semantic Commit Messages
              
          
    Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.
Format: <type>(<scope>): <subject>
<scope> is optional
Example


## Program.cs
using System;
using System.IO;
using System.Net;
using System.Text;
using System.Threading.Tasks;
using HttpMultipartParser;

namespace WebhookReceiver
{
    internal class HttpServer

## main.py
import requests
import json
import base64
import os

config = {
    "40.png": {"black", "white", "blue", "yellow"},
    "38.png": {"blue", "white"},
    "20.png": {"black","white", "yellow", "blue"},
    "30.png": {"yellow", "blue", "white"},

## regex-compile-perf.js
const RUNS = 100000;

// PRE-COMPILE REGEX

console.time('processRequest1')
const regex = RegExp(/^camera-([0-9]+)/)
function processRequest1(){
    let camId = regex.exec('camera-1')
    return camId
}

## detection_mode_vehicle.py
import requests
import json

API_TOKEN = '4805bee1222ce85e0bf####################'

regions = ['us-ca', ]

config = dict(
    detection_mode='vehicle'
)

## platerecognizer-upload-base64.py
import base64
import requests

API_TOKEN = '3234232ad2################'

def upload_base64(image_path):
    with open(image_path, 'rb') as image_file:
        img_base64 = base64.b64encode(image_file.read())

        url = 'http://api.platerecognizer.com/v1/plate-reader'

## parkpow-container-api.py
def run_rec(i):
    print(f'run_rec({i})')

    with open(i, 'rb') as fp:
        response = requests.post(
            'https://container-api.parkpow.com/api/v1/predict/',
            data= dict(
                # config=c,
            ),
            files=dict(image=fp),

## platerecognizer-alpr-scan.txt
danleyb2@ubuntu-ws:~$
danleyb2@ubuntu-ws:~$ docker scan platerecognizer/alpr

Testing platerecognizer/alpr...

✗ Low severity vulnerability found in xdg-user-dirs
  Description: Improper Access Control
  Info: https://snyk.io/vuln/SNYK-UBUNTU1804-XDGUSERDIRS-347423
  Introduced through: xdg-user-dirs@0.17-1ubuntu1
  From: xdg-user-dirs@0.17-1ubuntu1

## docker-compose.yml
version: "3.6"

services:
  db:
    image: platerecognizer/parkpow-postgres
    # restart: unless-stopped
    volumes:
      - /tmp/parkpow-volumes/postgres:/var/lib/postgresql/data/
    environment:
      - POSTGRES_DB=parkpow

## snapshot-sdk-sample-response.json
{
  "filename": "car.jpg",
  "timestamp": "2021-10-11 05:43:58.514896",
  "camera_id": null,
  "results": [
    {
      "box": {
        "xmin": 146,
        "ymin": 481,
        "xmax": 276,
	using System;
	using System.IO;
	using System.Net;
	using System.Text;
	using System.Threading.Tasks;
	using HttpMultipartParser;

	namespace WebhookReceiver
	{
	internal class HttpServer
	import requests
	import json
	import base64
	import os

	config = {
	"40.png": {"black", "white", "blue", "yellow"},
	"38.png": {"blue", "white"},
	"20.png": {"black","white", "yellow", "blue"},
	"30.png": {"yellow", "blue", "white"},
	const RUNS = 100000;

	// PRE-COMPILE REGEX

	console.time('processRequest1')
	const regex = RegExp(/^camera-([0-9]+)/)
	function processRequest1(){
	let camId = regex.exec('camera-1')
	return camId
	}
	import requests
	import json

	API_TOKEN = '4805bee1222ce85e0bf####################'

	regions = ['us-ca', ]

	config = dict(
	detection_mode='vehicle'
	)
	import base64
	import requests

	API_TOKEN = '3234232ad2################'

	def upload_base64(image_path):
	with open(image_path, 'rb') as image_file:
	img_base64 = base64.b64encode(image_file.read())

	url = 'http://api.platerecognizer.com/v1/plate-reader'
	def run_rec(i):
	print(f'run_rec({i})')

	with open(i, 'rb') as fp:
	response = requests.post(
	'https://container-api.parkpow.com/api/v1/predict/',
	data= dict(
	# config=c,
	),
	files=dict(image=fp),
	danleyb2@ubuntu-ws:~$
	danleyb2@ubuntu-ws:~$ docker scan platerecognizer/alpr

	Testing platerecognizer/alpr...

	✗ Low severity vulnerability found in xdg-user-dirs
	Description: Improper Access Control
	Info: https://snyk.io/vuln/SNYK-UBUNTU1804-XDGUSERDIRS-347423
	Introduced through: xdg-user-dirs@0.17-1ubuntu1
	From: xdg-user-dirs@0.17-1ubuntu1
	version: "3.6"

	services:
	db:
	image: platerecognizer/parkpow-postgres
	# restart: unless-stopped
	volumes:
	- /tmp/parkpow-volumes/postgres:/var/lib/postgresql/data/
	environment:
	- POSTGRES_DB=parkpow
	{
	"filename": "car.jpg",
	"timestamp": "2021-10-11 05:43:58.514896",
	"camera_id": null,
	"results": [
	{
	"box": {
	"xmin": 146,
	"ymin": 481,
	"xmax": 276,