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Spring. Net study Note 6-dependency injection (Application)

Speaking of advanced {Tagshow (Event)} "> Language programming, we will think {Tagshow (Event)} "> Design Pattern. When it comes to design patterns, we will talk about how to solve coupling. And spring. one of the IOC containers of net is decoupling. Its most typical application is dependency injection (DI), which is one of the best decoupling methods. Next I will talk about the application scenarios of dependency injection. I have simulated three different scenarios and can learn the importance

Food Phase Chart (mandatory) page 1/2

1. Pork + edges have a stomachache; 2 pig + lotus seeds (burned with white eggplant branches) will die of poisoning; 3. vomiting caused by beef + chestnuts 4. Beef + brown sugar bloomed into the dead; 5. Beef + pickles may be poisoned; 6 beef + catfish will be poisoned 7. Beef and snails will be poisoned 8. mutton and watermelon hurt the vitality; 9. bloating of mutton + snail bait; 10 dogs and green beans will be poisoned; 11 dog meat + eel will be poisoned 12 dog meat +

Post basic knowledge-differences between abstract classes and interfaces in. net

them or the common connections between them. Here is an example of life.If three objects are people, fish, and frogs, you can design a base class for them to summarize the relationships between them, first, you must feel that the differences between individuals are large, and it is difficult to abstract the commonalities. However, if you want to summarize the commonalities between their behaviors, you may think about it and realize that they can all swim, but they have different ways of swimmin

The same points and differences between abstract and interface (interface) in C #

difference between the personality has some of the same behavior. 3, the same behavior of the implementation of a larger difference. At this time give you three objects, respectively, carp, carp, goldfish, still let you design the base class to summarize the relationship between them, then you first realize that they are all belong to fish, followed by their way of swimming may be slightly differe

Five weird creatures with human faces in nature

1. Samurai Beetle There is such a strange beetle in Japan. His back pattern is very interesting, from the front looks like a bearded old man, from the other looks like a beetle with a helmet. This seems to be a feature of the evolution of insects. Most insects will have beautiful patterns, which are colorful. It is not surprising to see the pattern of huge eyes clearly, this samurai beetle is just an extreme example. 2. moth of death What does it look like? Is it a bit of silence? Yes. Th

CentOS 7.0 Installation Vim

.x86_64 need-to process dependency Perl (CWD), which is required by package 4:perl-5.16.3-283.el7.x86_64 and is processing dependencies Perl (Carp ), it is required by package 4:perl-5.16.3-283.el7.x86_64---> Package perl-libs.x86_64.4.5.16.3-283.el7 will be installed---> Package vim-common.x86_ 64.2.7.4.160-1.EL7 will be installed--processing dependency vim-filesystem, which is required by package 2:vim-common-7.4.160-1.el7.x86_64 and checking transa

"python38--Object-oriented inheritance"

First, inheritance1. Syntax: Class Derivedclassname (Baseclassname): Subclass Inherits Parent class >>> class Parent: def Hello (self): Print ( " Calling the method of the parent class ... " ) >>> class Child (Parent): pass >>> P = Parent () >>> P.hello () is calling the method of the parent class ... >>> C = child () >>> C.hello () is calling the method of the parent class ... >>> # Subclass Child inherits the parent class, So subclasses can call methods of the parent clas

Silence 2-from oppressor James

accepting oppression to realizing the existence of oppression and then trying to resist oppression, we can see that Mary, the heroine, is also the inevitable Journey for most women. However, the resistance here is meaningless. At this time, neither Mary nor James's self can compete with the overwhelming force of the triangle head that exists as the oppression. In most cases, the weapons used by the triangle head to attack James and Maria are a spear

Talk about conflicts

When I was a child, I had a story: I sold a weapon with a spear and a shield. When I sold a spear, I said that my spear was the sharpest ,; at the same time, when he sold the shield, he said that this shield is the strongest shield, and there is no thing to be able to penetrate, without any congratulations. At this time, a bystander said: attack the son with a

Recommended system metrics-accuracy (Precision), Recall (Recall), F value (f-measure) _dm

correct message bar/sample extracted The value is between 0 and 1, the closer the value is to 1, the higher the precision or recall. 3. F = Correct rate * Recall rate * 2/(correct rate + recall rate) (f value is the correct rate and recall rate of the harmonic mean) Take this example: there are 1400 carp, 300 shrimp and 300 turtles in a pond. It is now for the purpose of catching carp. 700

Chapter One (1.2) machine learning concept Map _ machine learning

(such as documents, Web pages, etc.) is accurate, recall is the number of all accurate entries have been retrieved. The correct rate, recall rate and F value are the important evaluation indexes to select the target in the mixed environment. Take a look at the definition of these indicators first: Correct rate = number of correct message strips/extracted information strips Recall rate = Number of information in the correct Information Bar/sample extracted The value is between 0 and 1, the close

Consistent hashing algorithm and its implementation (consistent Hashing)

Consistent hashing algorithm and its implementation (consistent Hashing) One, the principle of a consistent hashing algorithm 1, the background of the emergence of a consistent hashing algorithm Technology and business are mutually reinforcing and advancing together. The generation of consistent hashing algorithms also stems from business requirements. As the business grows, a single machine has been unable to meet the needs of the business, distributed architecture emerged. In a distributed

Simple examples of C # abstract classes and interfaces

1. Personality is more than common. 2. Different personalities have some of the same behavior.3. There is a greater difference in the way the same behavior is implemented.Give you three objects, carp, carp, goldfish, and still let you design the base class to summarize the relationship between them, then you first realize that they are all fish, followed by their way of swimming may be slightly different, t

The same points and differences between abstract and interface (interface) in C #

frogs, so that you can design a base class for them to summarize the connection between them, then the first thing you must feel is that their individual differences are large, it is difficult to abstract the common denominator, but if you generalize the commonality of their behavior, you may think that you will realize that they can swim. It's just a different way of swimming. Then you should consider using interfaces instead of abstract base classes for three reasons:InterfaceIswim {voidSwim

Interfaces and abstract classes

individuals are large, and it is difficult to abstract the commonalities. However, if you want to summarize the commonalities between their behaviors, you may think about it and realize that they can all swim, but they have different ways of swimming. In this case, you should consider using interfaces instead of abstract base classes for three reasons: Personality is greater than commonality. Different personalities share the same behavior. The implementation of the same behavior is quite diffe

Selection of abstract classes and interfaces

behaviors, you may think about it and realize that they can all swim, but they have different ways of swimming. In this case, you should consider using interfaces instead of abstract base classes for three reasons: Personality is greater than commonality. Different personalities share the same behavior. The implementation of the same behavior is quite different. The design is as follows: Well, now we will give you three objects, namely, carp,

How to Select abstract base classes and interfaces

their behaviors, you may think about it and realize that they can all swim, but they have different ways of swimming. In this case, you should consider using interfaces instead of abstract base classes for three reasons: Personality is greater than commonality. Different personalities share the same behavior. The implementation of the same behavior is quite different. The design is as follows: Well, now we will give you three objects, namely, carp

A memorable story in the country

their own money to buy, under the tree there is not a big chicken outhouse, outhouse in front of the two black dogs, there are strangers passing, will call up, feel afraid to close to it.The front of the village is a very big two acres of pond, heard that the pond is his home before a family neighbor Weifang uncle contracted, Weifang Uncle has two sons, the big son has been out of social work for two years, the youngest Argentine, still reading second day grade, Weifang de Zhi a back to the cou

Evaluation indicators: accuracy (Precision), Recall (Recall), and F-value (f-measure)

system is measured; recall is the ratio of the number of related documents retrieved and the number of related documents in the document library, which is measured by the recall of the retrieval system. In general, precision is the number of items retrieved (such as documents, Web pages, etc.) that are accurate, and recall is how much of the exact entries have been retrieved. The correct rate, recall rate and F value are the important evaluation indexes of the target in the mixed environ

Correct rate, recall rate, and F value

The accuracy rate, recall rate, and F value are important evaluation indicators of the target in a mixed environment. In this paper, these three indicators are favored. Let's take a look at the definition of these indicators first: Accuracy Rate = Total number of correctly recognized individuals/total number of identified individuals Recall rate = Total number of correctly recognized individuals/total number of individuals in the test set F value = accuracy * recall rate * 2/(accuracy rate +

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