按照相photo同得逻辑，在您攻击主基地得时候，如果可以正确使用得话，那么带着“工程师”在身边意味着巨大得优势。
Following the same logic, bringing "Engies" with you may mean a great advantage if used right when attacking a main Base.
我得承认这件事情有它的逻辑。
书中的解释说明讲得相当到位，问题分析步骤和解决方案其过程和逻辑关系分析得清清楚楚。 在你遇到其他问题的时候，可以循着类似的步骤加以思考解决。
The explanations are done insuch a way that the process and logic behind the steps and solutions areclearly laid out, allowing similar steps to be developed for other problems youmay encounter.
如果说给孩子起名往往得遵循一些保守的规则，那么一个成功的新产品(或服务项目)的命名可就得遵循完全不同的逻辑了。
If the naming of babies usually follows conservative rules, that of successful new products or services requires a completely different logic.
然而，让我们把目光从单一的理论叙述移到理论论证上(像“所有男人都很高，佛瑞得是个男人，因此佛瑞得很高”)时，这种逻辑的作用就显而易见了。
However, when we look not just at single rational statements, but at rational arguments (such as' all men are tall, Fred is a man, therefore Fred is tall ') we can see that the logic is useful.
在创建MQTT应用程序时，必须认真将主题空间设计得符合逻辑，并且支持灵活订阅。
When you create your MQTT application, you must carefully plan the topic space to be logical and to enable flexible subscriptions.
现在如果所有的业务逻辑都在应用中，那得是多么简单？
Now, if all that logic were held inside the application, how much simpler would it be?
但是，如果前提(“所有男人都很高，佛瑞得是个男人”)不成立，那么即使论证合情合理而富有逻辑，结论依然是谬误。
Yet, if the premises (' all men are tall, Fred is a man ') are not true then although the argument is rational and logical, it remains false.
当需要处理非二进制逻辑的时候，比方说模态逻辑或者机率逻辑，人会表现得更好。
When it comes to non binary logic, for example modal logic or probabilistic logic, humans often perform better.
逻辑卷表现得就像一般的硬盘分区，由LV1-LV6 表示。
The logical volumes act like a normal disk partition, and are depicted by LV1 - LV6.
它们同时也被设计得尽量使键位减少，这样可以使键位分布比较符合逻辑，也更容易被人记住。
They've also been designed with least amount of buttons in order to make them logical and easy to remember.
如果你打算把游戏逻辑的任何一部分嵌入引擎，那么在以后计划对它进行重用时，你得准备着去面对无数的问题和修改。
If you embed any of your game logic in the engine itself, don't plan on reusing it later without lots of problems and modifications.
美国需要的是一个保护生态环境的，逻辑上可行的，经济上可负担得起的替代能源的资源。
VO: What America needs is an environmentally friendly, logistically feasible and economically responsible alternative fuel source.
这个迷题设计得非常精妙，因为许多伟大的巫师都不精于逻辑，只能永远被关在这里，再不能前进也不能回头了。
This puzzle is particularly ingenious because many very clever wizards have no sense of logic at all, which would mean that they would be stuck in that chamber, unable to go forward or back.
你得开始使用这些灵性逻辑并观察真相。
You've got to start using spiritual logic for these things and see the truth.
时序线路的设计方法迄今仍不很完善，而随机型逻辑线路的设计就研究得更少。
So far, there are no perfect methods for designing sequential circuit, while researches on designing stochastic circuit are even fewer.
二语习得的逻辑问题是由母语习得的逻辑问题引发的，在语言习得领域争议较大。
The logical problem in second language acquisition originates from that in first language acquisition and causes much disputation in the field of language acquisition.
要让这套逻辑设计可行，我们得找到一个可衔接分子自动机和生化环境的方法，自动机才能感应特定疾病的症状是否存在。
To make this logical scheme work, we had to find a way to connect the molecular automaton to its biochemical environment so that it could sense whether specific disease conditions were present.
但逻辑仍是他们的弱项，在学习这科时得更有耐心才行。
Logic is still not their strong point, so patience learning these kinds of tasks will have to be shown.
逻辑—语义关系在小句复合体中表现得较明显和典型，但嵌入结构在实际语篇中也起着重要作用。
The logical-semantic relationship is embodied typically in the clause complex, but the embedded structure also plays an important role in the real text.
哦，那你得记得做老师可要耐心哦。还有，你可不要给我什么考试。碰到菜谱我的逻辑思维能力就非常强。
Paolo: Well, just remember a teacher needs to be patient . I hope you won't give me any tests. I'm very logical when i have to follow a recipe.
倘若条件独立性假设确实满足，朴素贝叶斯分类器将会比判别模型，譬如逻辑回归收敛得更快，因此你只需要更少的训练数据。
If the NB conditional independence assumption actually holds, a Naive Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data.
倘若条件独立性假设确实满足，朴素贝叶斯分类器将会比判别模型，譬如逻辑回归收敛得更快，因此你只需要更少的训练数据。
If the NB conditional independence assumption actually holds, a Naive Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data.
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