mxkaske

"use client";

import type { ColumnDef } from "@tanstack/react-table";
import type { ColumnSchema } from "./schema";
import { format } from "date-fns";

export const columns: ColumnDef<ColumnSchema>[] = [
  {
    accessorKey: "date",
    header: "Date",

tsemachh

import path from 'path'
import { fileURLToPath } from 'url'
import { type CollectionConfig } from 'payload'
import { videoCoverImage } from './hooks/videoCoverImage'

/* eslint-enable */

const __filename = fileURLToPath(import.meta.url)
const __dirname = path.dirname(__filename)
// eslint-disable-next-line @typescript-eslint/ban-ts-comment

tyteen4a03

import JobStopsListenerFieldEffect from "@/modules/transport/components/JobStopsListenerField/JobStopsListenerFieldEffect";
import type { UIFieldServerComponent } from "payload";

const JobStopsListenerField: UIFieldServerComponent = async ({ payload }) => {
    const warehouse =
        (
            await payload.find({
                collection: "addresses",
                where: {
                    type: {

ctrlaltdylan

import nc from "next-connect";
const { setQueues, BullAdapter, router } = require("bull-board");
import emailQueue from 'queues/emailQueue'; // or wherever your queues lie


setQueues([
  new BullAdapter(emailQueue),
]);

const handler = nc().use(

apisandipas

codesign --sign - --force --deep /Applications/VSCodium.app
xattr -d com.apple.quarantine /Applications/VSCodium.app

darconeous

Tesla Key Card Protocol

Researched by Robert Quattlebaum [email protected].

Last updated 2020-02-03.

zweite

adb shell

//电源键
adb shell input keyevent 26
//菜单键
adb shell input keyevent 82
//home键
adb shell input keyevent 3
//返回键
adb shell input keyevent 4

bxcodec

/*
This function will help you to convert your object from struct to map[string]interface{} based on your JSON tag in your structs.
Example how to use posted in sample_test.go file.
*/
func structToMap(item interface{}) map[string]interface{} {

	res := map[string]interface{}{}
	if item == nil {
		return res
	}

Willian-Zhang

Tensorflow 1.8 with CUDA on macOS High Sierra 10.13.4

Largely based on the Tensorflow 1.6 gist, and Tensorflow 1.7 gist for xcode and Tensorflow 1.7 gist for eGPU, this should hopefully simplify things a bit.

Requirements

• NVIDIA Web-Drivers 387.10.10.10.30.106 for 10.13.4 (17E199) (w/o Security Update)
• CUDA-Drivers 387.128

branflake2267

import 'dart:async';

import 'package:flutter/material.dart';

void main() => runApp(new MyApp());

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return new MaterialApp(