mraleph

Dart VM FFI Vision

Background

The aim of Dart FFI project (tracked as Issue #34452) is to provide a low boilerplate, low ceremony & low overhead way of interoperating with native C/C++ code.

The motivation behind this project is twofold:

slightfoot

import 'dart:math';

import 'package:flutter/material.dart';

void main() => runApp(ChartsDemoApp());

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

lightdiscord

#!/usr/bin/env bash

set -e

cweb_version=0.6.16
cweb=https://github.com/koute/cargo-web/releases/download/$cweb_version/cargo-web-x86_64-unknown-linux-gnu.gz
curl -Lo cargo-web.gz $cweb
gunzip cargo-web.gz
chmod u+x cargo-web

kinlane

{
  "swagger": "2.0",
  "info": {
    "version": "1.0",
    "title": "Cryptocompare",
    "description": "TODO: Add Description"
  },
  "host": "min-api.cryptocompare.com",
  "basePath": "/",
  "schemes": [

montanaflynn

package main

import (
	"context"
	"fmt"
	"log"
	"net/http"
	"sync"
	"time"
)

aloisdeniel

// Example of using parsed command to generate flutter code
var result = List<Code>();  
final SvgPathStringSource parser = new SvgPathStringSource(svg);
  final SvgPathNormalizer normalizer = new SvgPathNormalizer();
  var segments = parser.parseSegments();
  for (PathSegmentData seg in segments) {
     result.addAll(normalizer.emitSegment(seg).map((c) => Code(_generateCommand(c).toString() + ";")));
  }

slightfoot

import 'package:flutter/cupertino.dart';
import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';


void main() {
	//runApp(IOSApp());
	//runApp(AndroidApp());
	runApp(defaultTargetPlatform == TargetPlatform.iOS ? IOSApp() : AndroidApp());
}

dneprDroid

#include <GraphDefDecryptor.hpp>

    ........


    tensorflow::GraphDef graph;
    // Decryption: 
    const std::string key = "JHEW8F7FE6F8E76W8F687WE6F8W8EF5";
    auto status = tfsecured::GraphDefDecryptAES(path,         // path to *.pb file (encrypted graph)
                                                graph,

andrelsmoraes

// Copyright 2015 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.

import 'dart:async';

import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';
import 'package:flutter/widgets.dart';

vict0rsch

# From my blog post: http://vict0rsch.github.io/2018/06/06/tensorflow-streaming-multilabel-f1/
import tensorflow as tf
import numpy as np

from tensorflow.python.ops import variable_scope
from tensorflow.python.ops import array_ops
from tensorflow.python.framework import ops
from sklearn.metrics import f1_score