H windhooked

USER

Tell me how to check for valid South african ID numbers. Are there checksums? It starts with yymmdd so at least you know that 009999 is an invalid start. Write a list of all things that can be considered

ASSISTANT

Valid South African ID numbers follow a specific format and contain a few checks that can be used to determine their validity. Here is a list of things you can consider when checking the validity of a South African ID number:

Length: A valid South African ID number should be 13 digits long.
Birthdate: The first six digits should represent the birthdate of the person in the format YYMMDD. This means that an ID number starting with "009999" would be invalid as you mentioned.
Gender: The 7th to 9th digits indicate the gender of the person. A value of 0000-4999 represents a female, while 5000-9999 represents a male.
Citizenship: The 10th digit represents citizenship. A value of 0 indicates a South African citizen, while 1 indicates a permanent resident.

Very simple linear regression

curl -s //www.lauradhamilton.com/data_files/cricket_chirps_versus_temperature.txt | go run main.go > output.svg
2018/06/13 19:57:59 3.3057614388773593*x+24.966014428303183

	package main

	import (
	"crypto/ecdh"
	"crypto/rand"
	"crypto/sha256"
	"fmt"
	"io"
	"os"

	package plugins

	import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"strconv"

	sqlite_vec "github.com/asg017/sqlite-vec-go-bindings/cgo"

	CREATE TABLE accounts(
	id serial PRIMARY KEY,
	name VARCHAR(256) NOT NULL
	);

	CREATE TABLE entries(
	id serial PRIMARY KEY,
	description VARCHAR(1024) NOT NULL,
	amount NUMERIC(20, 2) NOT NULL CHECK (amount > 0.0),
	-- Every entry is a credit to one account...

	CREATE TABLE account_groups
	(
	id bigint NOT NULL GENERATED BY DEFAULT AS IDENTITY ( INCREMENT 1 START 1 MINVALUE 1 MAXVALUE 9223372036854775807 CACHE 1 ),
	name text COLLATE pg_catalog."default" NOT NULL,
	account_group_id bigint,
	CONSTRAINT account_types_pkey PRIMARY KEY (id),
	CONSTRAINT account_groups_account_group_id_fkey FOREIGN KEY (account_group_id)
	REFERENCES public.account_groups (id) MATCH SIMPLE
	ON UPDATE NO ACTION
	ON DELETE NO ACTION,

	CREATE TABLE public.vouchers (
	id serial PRIMARY KEY,
	name text NOT NULL
	);

	INSERT INTO vouchers
	(name)
	VALUES
	('Sales'),
	('Purchase'),

	$docker-compose up

	[+] Running 1/0
	⠿ Container nat-js-nat-js-1 Created 0.0s
	Attaching to nat-js-nat-js-1
	nat-js-nat-js-1 \| [1] 2022/07/06 11:32:04.859286 [INF] Starting nats-server
	nat-js-nat-js-1 \| [1] 2022/07/06 11:32:04.859416 [INF] Version: 2.8.4
	nat-js-nat-js-1 \| [1] 2022/07/06 11:32:04.859428 [INF] Git: [66524ed]
	nat-js-nat-js-1 \| [1] 2022/07/06 11:32:04.859442 [INF] Name: NBYAJSZUVNQHW4VUQZC2JDJX4QPECWSQTNJSXZAYKLL3IGTOFXART7FG
	nat-js-nat-js-1 \| [1] 2022/07/06 11:32:04.859460 [INF] Node: a7Zbpbhh

	job "fail-service" {
	datacenters = ["public-services"]

	type = "service"

	group "fail-service" {
	count = 1

	task "fail-service" {
	driver = "docker"

	/*
	Note: I have db.MapperFunc(FromCamelCaseToUnderScore)

	This will make nested json like this

	{
	"likes": [
	{
	"chat_id": 155636374,
	"created": "2018-08-04T10:52:36.360217Z",