In order to organize complex data structures, nginx also provides a red-black tree implementation.
它具有复杂的数据结构(包括列表、多项式、有理函数和线性系统)、一名翻译和一种高级编程语言。
It has sophisticated data structures(including lists, polynomials, rational functions, linear systems), an interpreter and a high level programming language.
它能存储和检索复杂的数据结构-序列化成为JSON文档-以实时的方式。
It can store and retrieve complex data structures- serialized as JSON documents- in real time.
为了组织复杂的数据结构,Nginx还提供了一个红黑树的实现。
In order to organize complex data structures, nginx also provides a red-black tree implementation.
使用更复杂的数据结构,这个问题也可以基本上得到解决。
With more sophisticated data structures this problem can also be largely solved.
可扩展数组非常适合组成其他更复杂的数据结构并使其可扩展。
Extensible arrays are excellent for composing other, more complex data structures and making them extensible.
例如,有的DLL会返回指针或者其它复杂的数据结构,而这在LabVIEW中却无法很容易的实现。
Such a DLL may, for example,return pointers or complex data structures which LabVIEW cannot easily handle.
Ai能够快速调整训练和输入数据集,同时支持复杂的数据结构至关重要。
Ai to rapidly adapt its training and input data sets,while supporting complex data structures.
XML-RPC的定义尽可能的保持了简单,但同时能够传送、处理、返回复杂的数据结构。
The XML-RPC technique is designed to be as straightforward as possible,but with the possibility to transmit and process complex data structures.
Ai迅速适应于训练集和输入数据集的关键,同时也支持复杂的数据结构。
Ai to rapidly adapt its training and input data sets,while supporting complex data structures.
而且,除了对多数类型的文本文件(或流文件)编码外,XML文档还编码大量复杂的数据结构。
Moreover, more than most types of text files(or streams),XML documents typically encode rich and complex data structures.
XML-RPC的定义尽可能的保持了简单,但同时能够传送、处理、返回复杂的数据结构。
XML-RPC is designed to be as simple as possible, while allowing complex data structures to be transmitted, processed and returned.
发送方不进行基本类型的转换,但通常要压缩和展开较复杂的数据结构。
The sender does not convert the base types,but usually has to pack and flatten more complex data structures.
Niklaus Wirth reports that a first attempt to implement it in Fortran in 1969 wasunsuccessful due to Fortran's inadequacy to express complex data structures.
创建和使用最复杂的数据结构--图,以及DFS和BFS算法;.
Create and use the most complex data structure, graphs, along with DFS and BFS algorithms.
另外,由于有一个非常复杂的数据结构,对于任何潜在的偏见来说,对经过训练的模型进行审查是非常困难的。
Also, by having a very complex data structure, it might be very difficult to audit the trained models for any potential bias.
在继续介绍复杂的数据结构之前,我们需要讨论另外一个与值类型无关的特性,它叫做Redis的过期。
Before continuing with more complex data structures, we need to discuss another feature which works regardless of the value type, and is called Redis expires.
一个原因是,很容易迷失在复杂的数据结构和控制流程的细节上;.
One reason is that itis easy to get lost in details of complicated data structures and control flow;
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