iOS 创建Label 提示“已成功下载”

本文介绍如何在iOS应用中实现一个成功的App下载提示动画。通过创建UILabel并设置其属性来显示定制化的消息,然后使用UIView动画实现淡入淡出效果。
<p class="p1"><span class="s1">    </span><span class="s2">//1.</span><span class="s3">添加</span><span class="s2">Label</span></p><p class="p2"><span class="s2">    </span><span class="s4">UILabel</span><span class="s2"> *label = [[</span><span class="s4">UILabel</span><span class="s2"> </span><span class="s5">alloc</span><span class="s2">]</span><span class="s5">init</span><span class="s2">];</span></p><p class="p2"><span class="s2">    label.</span><span class="s4">text</span><span class="s2"> = [</span><span class="s4">NSString</span><span class="s2"> </span><span class="s5">stringWithFormat</span><span class="s2">:</span><span class="s6">@"</span><span class="s7">成功下载</span><span class="s6">%@"</span><span class="s2">,cell.</span><span class="s8">app</span><span class="s2">.</span><span class="s8">name</span><span class="s2">];</span></p><p class="p3"><span class="s1">    label.</span><span class="s4">textAlignment</span><span class="s1"> = </span><span class="s2">NSTextAlignmentCenter</span><span class="s1">;</span></p><p class="p2"><span class="s2">    label.</span><span class="s4">font</span><span class="s2"> = [</span><span class="s4">UIFont</span><span class="s2"> </span><span class="s5">systemFontOfSize</span><span class="s2">:</span><span class="s9">12</span><span class="s2">];</span></p><p class="p2"><span class="s2">    label.</span><span class="s4">textColor</span><span class="s2"> = [</span><span class="s4">UIColor</span><span class="s2"> </span><span class="s5">whiteColor</span><span class="s2">];</span></p><p class="p4"><span class="s1">    label.</span><span class="s2">backgroundColor</span><span class="s1"> = [</span><span class="s2">UIColor</span><span class="s1"> </span><span class="s5">blackColor</span><span class="s1">];</span></p><p class="p2"><span class="s2">    label.</span><span class="s4">frame</span><span class="s2"> = </span><span class="s5">CGRectMake</span><span class="s2">(</span><span class="s9">0</span><span class="s2">, </span><span class="s9">0</span><span class="s2">, </span><span class="s9">150</span><span class="s2">, </span><span class="s9">25</span><span class="s2">);</span></p><p class="p4"><span class="s1">    label.</span><span class="s2">center</span><span class="s1"> = </span><span class="s5">CGPointMake</span><span class="s1">( </span><span class="s10">self</span><span class="s1">.</span><span class="s2">view</span><span class="s1">.</span><span class="s2">bounds</span><span class="s1">.</span><span class="s2">size</span><span class="s1">.</span><span class="s2">width</span><span class="s1">*</span><span class="s9">0.5</span><span class="s1">,  </span><span class="s10">self</span><span class="s1">.</span><span class="s2">view</span><span class="s1">.</span><span class="s2">bounds</span><span class="s1">.</span><span class="s2">size</span><span class="s1">.</span><span class="s2">height</span><span class="s1">*</span><span class="s9">0.5</span><span class="s1">);</span></p><p class="p2"><span class="s2">    label.</span><span class="s4">alpha</span><span class="s2"> = </span><span class="s9">0.0</span><span class="s2">;</span></p><p class="p4"><span class="s1">    label.</span><span class="s2">layer</span><span class="s1">.</span><span class="s2">cornerRadius</span><span class="s1"> = </span><span class="s9">5</span><span class="s1">;</span></p><p class="p2"><span class="s2">    label.</span><span class="s4">clipsToBounds</span><span class="s2"> = </span><span class="s10">YES</span><span class="s2">;</span></p><p class="p2"><span class="s2">    [</span><span class="s10">self</span><span class="s2">.</span><span class="s4">view</span><span class="s2"> </span><span class="s5">addSubview</span><span class="s2">:label];</span></p><p class="p5"><span class="s2">    </span></p><p class="p1"><span class="s1">    </span><span class="s2">//2.</span><span class="s3">动画</span></p><p class="p3"><span class="s1">    [</span><span class="s4">UIView</span><span class="s1"> </span><span class="s2">animateWithDuration</span><span class="s1">:</span><span class="s9">0.5</span><span class="s1"> </span><span class="s2">animations</span><span class="s1">:^{</span></p><p class="p2"><span class="s2">        label.</span><span class="s4">alpha</span><span class="s2"> = </span><span class="s9">0.5</span><span class="s2">;</span></p><p class="p2"><span class="s2">    } </span><span class="s5">completion</span><span class="s2">:^(</span><span class="s10">BOOL</span><span class="s2"> finished) {</span></p><p class="p3"><span class="s1">        [</span><span class="s4">UIView</span><span class="s1"> </span><span class="s2">animateWithDuration</span><span class="s1">:</span><span class="s9">0.5</span><span class="s1"> </span><span class="s2">delay</span><span class="s1">:</span><span class="s9">0.5</span><span class="s1"> </span><span class="s2">options</span><span class="s1">:</span><span class="s2">UIViewAnimationOptionCurveLinear</span><span class="s1"> </span><span class="s2">animations</span><span class="s1">:^{</span></p><p class="p2"><span class="s2">            label.</span><span class="s4">alpha</span><span class="s2"> = </span><span class="s9">0.0</span><span class="s2">;</span></p><p class="p2"><span class="s2">        } </span><span class="s5">completion</span><span class="s2">:^(</span><span class="s10">BOOL</span><span class="s2"> finished) {</span></p><p class="p2"><span class="s2">            [label </span><span class="s5">removeFromSuperview</span><span class="s2">];</span></p><p class="p2"><span class="s2">        }];</span></p><p class="p2"><span class="s2">    }];</span></p>
根据原作 https://pan.quark.cn/s/459657bcfd45 的源码改编 Classic-ML-Methods-Algo 引言 建立这个项目,是为了梳理和总结传统机器学习(Machine Learning)方法(methods)或者算法(algo),和各位同仁相互学习交流. 现在的深度学习本质上来自于传统的神经网络模型,很大程度上是传统机器学习的延续,同时也在不少时候需要结合传统方法来实现. 任何机器学习方法基本的流程结构都是通用的;使用的评价方法也基本通用;使用的一些数学知识也是通用的. 本文在梳理传统机器学习方法算法的同时也会顺便补充这些流程,数学上的知识以供参考. 机器学习 机器学习是人工智能(Artificial Intelligence)的一个分支,也是实现人工智能最重要的手段.区别于传统的基于规则(rule-based)的算法,机器学习可以从数据中获取知识,从而实现规定的任务[Ian Goodfellow and Yoshua Bengio and Aaron Courville的Deep Learning].这些知识可以分为四种: 总结(summarization) 预测(prediction) 估计(estimation) 假想验证(hypothesis testing) 机器学习主要关心的是预测[Varian在Big Data : New Tricks for Econometrics],预测的可以是连续性的输出变量,分类,聚类或者物品之间的有趣关联. 机器学习分类 根据数据配置(setting,是否有标签,可以是连续的也可以是离散的)和任务目标,我们可以将机器学习方法分为四种: 无监督(unsupervised) 训练数据没有给定...
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