nambrot

CELO_VALIDATOR_GROUP_ADDRESS=0456e7b4b6a7e25f167f4ebeb17b7268e36af4f8 CELO_VALIDATOR_ADDRESS=7059f5038a97cb70f37c73fadae11b83dca982a8

nambrot

require 'json'

class Minesweeper
  
  def initialize(n, m, number_of_mines)
    @n = n
    @m = m
    @number_of_mines = number_of_mines
    @user_board = []
    @visible = []

nambrot

import java.io.*;
import java.util.*;

/*
 * To execute Java, please define "static void main" on a class
 * named Solution.
 *
 * If you need more classes, simply define them inline.
 */

nambrot

nambrot

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Approximate q-learning\n",
    "\n",
    "In this notebook you will teach a __tensorflow__ neural network to do Q-learning."
   ]

nambrot

Keybase proof

I hereby claim:

• I am nambrot on github.
• I am nambrot (https://keybase.io/nambrot) on keybase.
• I have a public key ASDfEQ9ohfu9htqGyMQjafRCaqXKvag1AeWymD3d81dOMwo

To claim this, I am signing this object:

nambrot

This is a list of links for my kindle

nambrot

test

nambrot

PCollection<KV<Integer, Iterable<Alert>>> sessionedAlerts = alerts
        .apply(Window.remerge())
        .apply(Window.into(Sessions.withGapDuration(Duration.standardHours(1))))
        .apply(MapElements.via((Alert event) -> KV.of(event.userId, event)).withOutputType(new TypeDescriptor<KV<Integer, Alert>>() {}))
        .apply(GroupByKey.create());

PCollection<Alert> throttledAlerts = sessionedAlerts
        .apply(FlatMapElements.via((KV<Integer, Iterable<Alert>> pair) -> {
            ArrayList<Alert> acc = new ArrayList<>();
            FluentIterable

nambrot

final TupleTag<BloodPressureEvent> bpTag = new TupleTag<>();
final TupleTag<HeartRateEvent> hrTag = new TupleTag<>();
PCollection<KV<Integer, CoGbkResult>> joined =
        KeyedPCollectionTuple.of(bpTag, bpEvents)
                .and(hrTag, hrEvents)
                .apply(CoGroupByKey.create());

PCollection<Alert> alerts = joined.apply(FlatMapElements.via((KV<Integer, CoGbkResult> pair) -> {
CoGbkResult result = pair.getValue();
Boolean hasLowSystolic = FluentIterable.from(result.getAll(bpTag)).anyMatch((BloodPressureEvent event) -> event.systolic < 100);