overvenus

# Documentation: https://docs.brew.sh/Formula-Cookbook
#                https://rubydoc.brew.sh/Formula
# PLEASE REMOVE ALL GENERATED COMMENTS BEFORE SUBMITTING YOUR PULL REQUEST!
class CorplinkRs < Formula
  desc "使用 rust 实现的飞连客户端"
  homepage "https://github.com/overvenus/corplink-rs"
  url "https://github.com/overvenus/corplink-rs/releases/download/4.3/corplink-rs-4.3-macos-arm64.tar.gz"
  sha256 "e8c3be3fae1a04c80348ad415af53b19b039896b6248c1ab9cc8b57f557b1b6d"
  license "GPL-2.0"

overvenus

#! /usr/bin/env perl

# Copyright (c) 1998-2007, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
#     * Redistributions of source code must retain the above copyright

overvenus

/*
 *
 * Copyright 2017 gRPC authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *

overvenus

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

overvenus

#![feature(test)]

extern crate test;
extern crate fnv;
extern crate rand;

use std::collections::{BTreeMap, HashMap};
use std::cell::RefCell;

use test::Bencher;

overvenus

[package]
name = "bench_metric"
version = "0.1.0"
authors = ["overvenus <overvenus@gmail.com>"]

[dependencies]
cadence = "0.5.0"
log = "0.3"
quick-error = "0.2"

overvenus

// ==UserScript==
// @name         Erya100 No Pause
// @author       neilsh.me
// @namespace    http://neilsh.me/userjs
// @description  Erya100 No Pause
// @version      0.1
// @include      http://*.tsk.erya100.com/*
// @run-at       document-end
// @license      MIT
// ==/UserScript==

overvenus

package main

import "fmt"
import "log"
import "unsafe"
import "runtime"

func main() {
	log.SetFlags(0)
	log.Println("GOOS", runtime.GOOS)

overvenus

package org.overvenus.android;

import android.content.Context;
import android.support.v4.view.MotionEventCompat;
import android.support.v4.widget.SwipeRefreshLayout;
import android.util.AttributeSet;
import android.util.Log;
import android.view.MotionEvent;

/**

overvenus

/**
 * Creates a 'ghost' bitmap version of the given source drawable (ideally a BitmapDrawable).
 * In the ghost bitmap, the RGB values take on the values from the 'color' argument, while
 * the alpha values are derived from the source's grayscaled RGB values. The effect is that
 * you can see through darker parts of the source bitmap, while lighter parts show up as
 * the given color. The 'invert' argument inverts the computation of alpha values, and looks
 * best when the given color is a dark.
 */
private Bitmap createGhostIcon(Drawable src, int color, boolean invert) {
    int width = src.getIntrinsicWidth();