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const isPristine = (
  fieldName: string | string[],
  touched: FormikTouched<FormikValues>
) =>
  [fieldName]
    .flatMap((fieldName) => fieldName)
    .every((fieldName) => !touched[fieldName]);

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git branch | grep -v "master" | xargs git branch -D 

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const is = (it, n = Symbol()) => (it ?? n) !== n;
const is = it => (it ?? null) !== null;

kino6052

import React from "react";
import { Subject } from "rxjs";

export type EventType = "click" | "change" | "focus";
export type Id = string;
export type IEvent = [EventType, Id, string | undefined];

export const EventSubject = new Subject<IEvent>();

export const EventWrapper: React.FC<{ id: string }> = (props) => {

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const initialState: IState = {
  input: "",
  isInStockOnly: false,
  products: [
    {
      id: "0",
      category: "Sporting Goods",
      price: "$49.99",
      stocked: true,
      name: "Football"

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expect(reduce(['change', 'input-01', 'ball'], initialState)).toEqual({
  input: "ball",
  isInStockOnly: false,
  products: [
    {
      id: "0",
      category: "Sporting Goods",
      price: "$49.99",
      stocked: true,
      name: "Football",

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const reduce = (
  event: IEvent,
  state: typeof initialState
): typeof initialState => {
  if (event[0] === "change" && event[1] === "input-01") {
    const value = event[2];
    const filteredProducts = state.products
      .filter(({ name }) => name.toLowerCase().includes(value.toLowerCase()))
      .map(({ id }) => id);
    return {

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const filterProducts = (event: IEvent, state: IState) => {
  const value = event[2] || "";
  const filteredProducts = state.products
    .filter(({ name }) => name.toLowerCase().includes(value.toLowerCase()))
    .map(({ id }) => id);
  return {
    ...state,
    input: value,
    productsToDisplay: filteredProducts
  };

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StateSubject.subscribe((state) => render(<App state={state} />, rootElement));

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x = np.array([[1, 1],[1, 2],[1, 3]]) ## must contain first column with one for theta bias
y = np.array([[4.5], [5.5], [8.5]])
_x = np.dot(x.T, x)
xI = np.linalg.inv(_x)
n = np.dot(xI,x.T)
theta = np.dot(n, y)
print(theta)
print(theta[0], theta[0][0])
print(x[0], x[0][0])
y1_hat = theta[0][0] + theta[1][0]*x[0][1]