complex data structure造句
例句與造句
- You can navigate the contents of complex data structures right in the source editor
您可以在源代碼編輯器中直接定位復(fù)雜數(shù)據(jù)結(jié)構(gòu)的內(nèi)容。 - As a general rule , avoid using a more complex data structure where a simpler one will suffice
作為一條通用規(guī)則，在更簡單的數(shù)據(jù)結(jié)構(gòu)能滿足需要的地方，應(yīng)該避免使用更復(fù)雜的數(shù)據(jù)結(jié)構(gòu)。 - However , soap allows for a richer use of xml to encode and serialize complex data structures such as classes
但是， soap允許更豐富地使用xml ，以對復(fù)雜數(shù)據(jù)結(jié)構(gòu)（例如類）進(jìn)行編碼和序列化。 - Xml - rpc is designed to be as simple as possible , while allowing complex data structures to be transmitted , processed , and returned
Xml - rpc的定義盡可能簡單，但能夠傳送、處理和返回復(fù)雜的數(shù)據(jù)結(jié)構(gòu)。 - Moreover , more than most types of text files or streams , xml documents typically encode rich and complex data structures
而且，除了對多數(shù)類型的文本文件（或流文件）編碼外， xml文檔還編碼大量復(fù)雜的數(shù)據(jù)結(jié)構(gòu)。 - It's difficult to find complex data structure in a sentence. 用complex data structure造句挺難的
- However , it does not help any if you need the complex data structure marshalling that python soap implementations seemingly have not caught up to yet
然而，如果您需要復(fù)雜的數(shù)據(jù)結(jié)構(gòu)編組，而python soap實(shí)現(xiàn)好像還沒有跟上的時(shí)候，它并沒有任何幫助。 - 3 . the lod model is a complex data structure , therefore how to transmit model data efficiently between the client and the server is an important work
3 )細(xì)節(jié)層次模型是一個(gè)復(fù)雜的數(shù)據(jù)結(jié)構(gòu),如何在服務(wù)器和客戶端之間高效傳輸模型數(shù)據(jù)是一個(gè)重要的任務(wù),本文有效的解決了這個(gè)問題。 - This means the complex data structures can be represented as classes and the web services stack will automatically map the class attributes to the data types defined in the wsdl file
這意味著復(fù)雜的數(shù)據(jù)結(jié)構(gòu)可以表示成類， web服務(wù)棧能夠自動(dòng)將類屬性映射到wsdl文件中定義的數(shù)據(jù)類型。 - The two - tier data warehouse design in this solution assumes that end users will only access more user - friendly data in data marts , not the complex data structure in a data warehouse
該解決方案中兩層的數(shù)據(jù)倉庫設(shè)計(jì)假設(shè)終端用戶將僅僅訪問數(shù)據(jù)集市中更加用戶友好的數(shù)據(jù)，而非數(shù)據(jù)倉庫中復(fù)雜的數(shù)據(jù)結(jié)構(gòu)。 - Loosely typed services are more flexible with respect to message format changes , message formats that vary depending on the service context , and the handling of advanced and complex data structures that cannot be handled by common tools
當(dāng)消息格式發(fā)生更改，消息格式會(huì)隨服務(wù)內(nèi)容不同而變化，以及處理普通工具不能處理的高級(jí)復(fù)雜數(shù)據(jù)結(jié)構(gòu)時(shí)，松散類型服務(wù)更加靈活。 - Python , fortunately and more so than most other languages , has both straightforward ways of dealing with complex data structures usually with classes and attributes , and a range of xml - related modules to aid in parsing , processing , and generating xml
幸好， python （與大多數(shù)其它語言相比）不僅有直接處理復(fù)雜數(shù)據(jù)結(jié)構(gòu)的方法（通常使用類和屬性） ，還有許多xml相關(guān)的模塊可以幫助語法分析、處理和生成xml 。 - Python , fortunately and more so than most other languages , has both straightforward ways of dealing with complex data structures usually with classes and attributes and a range of xml - related modules to aid in parsing , processing , and generating xml
幸好， python （與大多數(shù)其它語言相比）不僅有處理復(fù)雜數(shù)據(jù)結(jié)構(gòu)的直接方法（通常使用類和屬性） ，還有一系列xml相關(guān)的模塊可以幫助語法分析、處理和生成xml 。 - In this thesis , data was managed by conunon database management system and a database was designed based on a relation database : sqlserver , which design by microsoft corporation . it is a very popular and best way to manage cad system ' s data in curreflt time . ms method can also solve such questions as data redundancy , complex data structure and data share in naval architecture
本文采用基于通用數(shù)據(jù)庫系統(tǒng)的數(shù)據(jù)管理方法，進(jìn)行了基于關(guān)系型數(shù)據(jù)庫sqlserver的數(shù)據(jù)庫設(shè)計(jì)，一方面是因?yàn)椴捎脭?shù)據(jù)庫系統(tǒng)對數(shù)據(jù)進(jìn)行管理是當(dāng)今開發(fā)數(shù)據(jù)管理的主流方式，另一方面是因?yàn)榇霸O(shè)計(jì)中涉及的數(shù)據(jù)量非常大，數(shù)據(jù)間的關(guān)系結(jié)構(gòu)復(fù)雜，對數(shù)據(jù)的共享性要求較高，而數(shù)據(jù)庫是解決該問題的最好辦法。 - The history of the development of database technology can be divided into three phases : the first generation is the reticulation / hierarchical data model based on database ; the second generation is the relational data model based database ; the third generation database which has the object oriented character breakthroughs the localization of the traditional database model which is unable to build model based on complex data structure . the third generation has led the database system to a new time
數(shù)據(jù)庫技術(shù)的發(fā)展經(jīng)歷了三個(gè)階段：第一代數(shù)據(jù)庫系統(tǒng)是基于網(wǎng)狀、層狀數(shù)據(jù)模型的網(wǎng)狀、層狀數(shù)據(jù)庫管理系統(tǒng)；第二代數(shù)據(jù)庫是基于平面關(guān)系模型的關(guān)系數(shù)據(jù)庫系統(tǒng)；以面向?qū)ο竽Ｐ蜑榇淼牡谌鷶?shù)據(jù)庫系統(tǒng)突破了傳統(tǒng)數(shù)據(jù)模型在復(fù)雜數(shù)據(jù)建模和管理方面存在的局限性，使數(shù)據(jù)庫系統(tǒng)進(jìn)入了新的時(shí)代。