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-keep class com.google.unity.** {
   *;
}
-keep public class com.google.android.gms.ads.**{
   public *;
}
-keep public class com.google.ads.**{
   public *;
}
-keepattributes *Annotation*

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// TFjs and gcs are using a lot of memory, so increasing it will speed up the functions
exports.train = functions
  .runWith({ memory: "2GB" })
  .https.onRequest(async (request, response) => {
    const existJSON = await bucket.file("model.json").exists().then(ex => ex[0]);
    const existBIN = await bucket.file("weights.bin").exists().then(ex => ex[0]);

    if (!existJSON || !existBIN) {
      const model = tf.sequential();
      model.add(tf.layers.dense({ units: 2, inputShape: [vocabulary.length] }));

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const trainSave = async (model, querySnapshot) => {
  if (!querySnapshot.docs.length) return false;

  const xs_data = querySnapshot.docs.map(doc => fitData(doc.data().text));
  const ys_data = querySnapshot.docs.map(
    doc => (doc.data().y === "positive" ? [1] : [0])
  );

  const xs = tf.tensor2d(xs_data);
  const ys = tf.tensor2d(ys_data);

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exports.runLinearModel = functions.https.onRequest((request, response) => {
  // Get x_test value from the request body
  const x_test = Number(request.body.x);

  // Check if the x value is number. Otherwise request a valid one and terminate the function.
  if (typeof x_test !== "number" || isNaN(x_test))
    response.send("Error! Please format your request body.");

  // Define a model for linear regression.
  const linearModel = tf.sequential();

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// simple vocabulary with positive and negative terms
const vocabulary = ["bad", "slow", "ugly", "overrated", "expensive", "wrong", "good", "amazing", "fast", "kind", "cheap"];

const fitData = string => {
  const stringSplit = string.replace(/[^a-zA-Z ]+/g, "").split(" ");
  const words = {};

  stringSplit.forEach(ev => {
    words[ev] =
      typeof words[ev] === "number" ? (words[ev] += 1) : (words[ev] = 1);

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box-shadow: 45px 40px currentColor, 90px 40px currentColor,
    135px 40px currentColor, 180px 40px currentColor, 225px 40px currentColor,
    270px 40px currentColor, 315px 40px currentColor, 360px 40px currentColor,
    405px 40px currentColor, 450px 40px currentColor, 495px 40px currentColor,
    553px 40px currentColor, 573px 40px currentColor, 45px 80px currentColor,
    90px 80px currentColor, 135px 80px currentColor, 180px 80px currentColor,
    225px 80px currentColor, 270px 80px currentColor, 315px 80px currentColor,
    360px 80px currentColor, 405px 80px currentColor, 450px 80px currentColor,
    495px 80px currentColor, 540px 80px currentColor, 573px 80px currentColor,
    45px 120px currentColor, 78px 120px currentColor, 123px 120px currentColor,

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/*
  If we make it `display: none`, the shadows will disappear as well,
  and the easiest solution will be something like this:
*/

left: -30px;
top: -30px;

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.keyboard:before {
  /* Don't forget the content */
  content: "";
  position: absolute;
  width: 35px;
  height: 30px;
  border-radius: 3px;
  border: 1px solid transparent;
  color: lightgrey;
}

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.keyboard {
  position: absolute;
  width: 600px;
  height: 300px;
  color: darkslategray;
  border: 2px solid currentColor;
  border-radius: 12px;
  margin: 300px 10px 10px 65px;
  transform: rotateX(30deg) rotateZ(0deg);
  box-shadow: 2px 5px 12px currentColor;

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// Before
import { RSGButton } from 'rsg-components'
import { RSGBox } from 'rsg-components';
import { RSGCheckbox, RSGLabel } from 'rsg-components'
import { RSGProgressBar as PB } from 'rsg-components'

// After 3.0.0-beta.1
import { Button } from 'rsg-components'
import { Box } from 'rsg-components';
import { Checkbox, Label } from 'rsg-components'