wickstjo

# Reference configuration for the DataStax Java driver for Apache Cassandra®.
#
# Unless you use a custom mechanism to load your configuration (see
# SessionBuilder.withConfigLoader), all the values declared here will be used as defaults. You can
# place your own `application.conf` in the classpath to override them.
#
# Options are classified into two categories:
# - basic: what is most likely to be customized first when kickstarting a new application.
# - advanced: more elaborate tuning options, or "expert"-level customizations.
#

wickstjo

# Cassandra storage config YAML

# NOTE:
#   See https://cassandra.apache.org/doc/latest/configuration/ for
#   full explanations of configuration directives
# /NOTE

# The name of the cluster. This is mainly used to prevent machines in
# one logical cluster from joining another.
cluster_name: DATACENTER1

wickstjo

package com.example.myproject

import org.apache.flink.streaming.api.scala._
import scala.io.Source

import org.apache.flink.connector.kafka.source.{KafkaSource}
import org.apache.flink.connector.kafka.sink.{KafkaSink, KafkaRecordSerializationSchema}

// import org.apache.flink.formats.avro.{AvroSerializationSchema}
import org.apache.flink.formats.avro.registry.confluent.{ConfluentRegistryAvroDeserializationSchema, ConfluentRegistryAvroSerializationSchema}

wickstjo

import org.apache.flink.streaming.api.scala._
import scala.io.Source
import org.apache.avro.Schema
import org.apache.avro.generic.{GenericRecord, GenericData}

import org.apache.flink.connector.kafka.source.{KafkaSource}
import org.apache.flink.connector.kafka.sink.{KafkaSink, KafkaRecordSerializationSchema}
import org.apache.flink.formats.avro.{AvroSerializationSchema}

// import org.apache.flink.formats.avro.typeutils.{GenericRecordAvroTypeInfo}

wickstjo

import org.apache.flink.streaming.api.scala._
import org.apache.avro.Schema
import org.apache.avro.generic.GenericData
import org.apache.avro.generic.GenericRecord

import org.apache.flink.connector.kafka.source.{KafkaSource}
import org.apache.flink.connector.kafka.sink.{KafkaSink, KafkaRecordSerializationSchema}
import org.apache.flink.formats.avro.{AvroSerializationSchema}

object Main extends App {

wickstjo

import 'package:flutter/material.dart';
import 'package:flutter_riverpod/flutter_riverpod.dart';
import 'package:shared_preferences/shared_preferences.dart';

main() async {
    runApp(const MaterialApp(
        home: Scaffold(body: Component())
    ));
}

wickstjo

import 'package:flutter/material.dart';
import 'package:go_router/go_router.dart';
import 'package:flutter_riverpod/flutter_riverpod.dart';

final score_state = StateProvider<int>((ref) => 0);

main() {
    runApp(
        ProviderScope(child: MaterialApp.router(
            debugShowCheckedModeBanner: false,

wickstjo

import { gql, useMutation } from '@apollo/client'

const QUERY = gql`
    mutation AddBook($title: String!, $published: Int!, $author: String!, $genres: [String!]!) {
        addBook(title: $title, published: $published, author: $author, genres: $genres) {
            title
            published
            author
            genres
        }

wickstjo

import React, { useState } from 'react';
import { render } from 'ink';
import Input from './components/input';

function Container() {

   // LOCAL STATE
   const [local, set_local] = useState({
      name: 'testing'
   })

wickstjo

import React, { Component } from 'react';
import { createStackNavigator, createAppContainer } from 'react-navigation';

import Home from './pages/home/home';
import Profile from './pages/profile/profile';
import Create from './pages/create/create';

class App extends Component {
   render() { return (
      <AppContainer />