maskaravivek

import java.util.Random;

public class RandomExample {
    public static void main(String[] args) {
        Random rand = new Random();
        int randomNumber = rand.nextInt(100) + 1; // 1 to 100
        System.out.println("Random number: " + randomNumber);
    }
}

maskaravivek

const benchmarkData = require('/home/circleci/benchmarks/com.circleci.samples.todoapp.macrobenchmark-benchmarkData.json')

const COLD_STARTUP_MEDIAN_THRESHOLD_MILIS = YOUR_COLD_THRESHOLD
const WARM_STARTUP_MEDIAN_THRESHOLD_MILIS = YOUR_WARM_THRESHOLD
const HOT_STARTUP_MEDIAN_THRESHOLD_MILIS = YOUR_HOT_THRESHOLD

const coldMetrics = benchmarkData.benchmarks.find(element => element.params.mode === "COLD").metrics.startupMs
const warmMetrics = benchmarkData.benchmarks.find(element => element.params.mode === "WARM").metrics.startupMs
const hotMetrics = benchmarkData.benchmarks.find(element => element.params.mode === "HOT").metrics.startupMs

maskaravivek

- run:
    name: Evaluate benchmark results
    command: node scripts/eval_startup_benchmark_output.js

maskaravivek

- run:
    name: Download benchmark data
    command: |
      mkdir ~/benchmarks
      gsutil cp -r 'gs://android-sample-benchmarks/macrobenchmark/**/artifacts/sdcard/Download/*'  ~/benchmarks
      gsutil rm -r gs://android-sample-benchmarks/macrobenchmark
- store_artifacts:
    path: ~/benchmarks

maskaravivek

- run:
    name: run on FTL
    command: |
      gcloud firebase test android run \
        --type instrumentation \
        --app app/build/outputs/apk/release/app-release.apk \
        --test macrobenchmark/build/outputs/apk/release/macrobenchmark-release.apk \
        --device model=flame,version=30,locale=en,orientation=portrait \
        --directories-to-pull /sdcard/Download \
        --results-bucket gs://android-sample-benchmarks \

maskaravivek

orbs:
  android: circleci/android@1.0.3
  gcp-cli: circleci/gcp-cli@2.2.0

...

jobs:
  ...
    benchmarks-ftl:
    executor:

maskaravivek

const val TARGET_PACKAGE = "com.circleci.samples.todoapp"

fun MacrobenchmarkRule.measureStartup(
    profileCompiled: Boolean,
    startupMode: StartupMode,
    iterations: Int = 3,
    setupIntent: Intent.() -> Unit = {}
) = measureRepeated(
    packageName = TARGET_PACKAGE,
    metrics = listOf(StartupTimingMetric()),

maskaravivek

@app.route('/ingest', methods=['POST'])
def ingest():
    files = request.files.getlist('file')
    results = []
    for f in files:
        filename = f.filename
        # Read the file content as bytes for Ragie
        file_content = f.read()
        
        response = ragie.documents.create(request={

maskaravivek

| Column | Column | Column |
| ------ | ------ | ------ |
|        |        |        |
|        |        |        |
|        |        |        |

maskaravivek

function generateFibonacciSeries(n) {
  let series = [0, 1];

  for (let i = 2; i < n; i++) {
    series[i] = series[i - 1] + series[i - 2];
  }

  return series;
}