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HTML5 Custom Properties Data-* and Jquery.data detailed description

and genre information directly into the span tag for this song.One more example, such as embedding a localized translation: Data-en= "Peking Duck"Data-availableData-ja= "Beijing ダック"Data-fr= "Canard Laquéde Pékin"Data-de= "Pekingente" >Beijing Roast Duck In this way, without changing the appearance of the page, we can set the machine translation while detecting data-xx, to manually provide more accurate and precise translation.Where data-available has no value and allows null valu

HTML5 Custom Properties Data-* and Jquery.data detailed description

, so there is no need to have a value.access datasets using GetAttribute, SetAttributeAs a label for HTML elements, the dataset's access is also subject to getattribute, SetAttribute, and the two methods are the most compatible.For example, for the above two examples, we can run a Getvar album = document.getElementById ("Music-latch"). GetAttribute ("Data-album");Console.log (album); Setdocument.getElementById ("FOOD-PKD"). SetAttribute ("Data-en", "Beijing

How to draw a hamburger icon in Illustrator

I will give you a detailed explanation of the examples of creating a hamburger icon.Tutorial sharing:Step 2Create a new file in Illustrator and select the elliptic tool (L ). Draw an ellipse and fill it with CMYK = 15, 40Step 2Select the rounded rectangle and set the radius to 50 Gb/s to draw an elliptical bottom like a steamed stuffed bun. Fill in the same color as above.Step 2Now draw two rounded rectangles to make them thinner and fill them with CM

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

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

"C # my sister and Aunt Objective-C" (03) NSString -- meet dog again

C # sister: Wow, the path is narrow. Isn't this an Objective-C aunt's dog?Dog: Who is it ..C # sister: Not convinced ~ Let's get you another toast ..View sourceprint? 01 # import 02 # import "Dog. h" 03 04 int main (int argc, const char * argv []) 05 { 06 07 NSAID utoreleasepool * pool = [[NSAID utoreleasepool alloc] init]; 08 Dog * d = [Dog new]; 09 [d Eat: @ "poop" EatQty: 1]; 10 [d release]; 11 [pool drain]; 12 return 0; 13} Dog:C # sister: Fuck, upgrade it. Let's look at your skin and destr

Weekend Miscellaneous (9)

analyze the intent of the leadership, how to adjust the relationship between members in the group or between groups, the rational assignment of tasks also requires the rational allocation of technical talents. To sum up, a manager-type talent is exaggerated. It is the rich-country talent that the customer talked about yesterday. It requires not only technical skills, good technical skills throughout the entire work process, understanding of the industry, understanding of the customer's busine

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

Chinese name Stroke calculation (VBS script version) _vbs

leelawadee 糇 paste 糈 糌 valine Rice enjoyed Capricorn Jian Jian Jian Jian Zeng Columbine Cong-loaded knee 膣 bow vegetable Mushroom Core wai 蕞 limmeridge fern Qi Yun ji guo tadpole scorpion slugs locust bat 蝣 蝤 mitten deinagkistrodon Viperidae butterfly nargles being caged counter bug salamanders earwigs 褫 rags kun qu 觯 谳 the delirium 豌 the the fun tread 踔 ankle hesitant kick 踣 trample stumble Stand 踯 hamstrings lying reel lin compliance grains alcohol drunk vinegar quinone 鋈 hi town cadmium twee

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

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

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