annotations

问题 I have a simple TYPE_USE annotation: @Retention(RetentionPolicy.RUNTIME) @Target({ElementType.TYPE_USE, ElementType.TYPE_PARAMETER}) public @interface Cool { } And the following sample Kotlin class: class Item( id: Long? = null, var names: List<@Cool String> = emptyList()) Is there any way to extract the annotation using Java reflection? Item.class.getMethod("getName").getAnnotatedReturnType() loses the annotations, same with getting the field. Can I even get the annotation from Kotlin? Item:

问题 I am using Firestore's Java-based annotation for marking fields and methods for mapping document fields to Java class elements: @Retention(RetentionPolicy.RUNTIME) @Target({ElementType.METHOD, ElementType.FIELD}) public @interface PropertyName { String value(); } I am using it on a field in a Kotlin data class, which compiles fine: data class MyDataClass( @PropertyName("z") val x: Int ) In IntelliJ and Android Studio, I can see it show up in the decompiled class dump: public final data class

问题 I have a bunch of videos and depthmaps showing human poses from the Microsoft Kinect. I can get a skeleton of the human in the video but what I want to do is recognize a certain pose from this skeleton data. To do that I need to annotate each frame in the videos with a 0 or 1, corresponding to "bad pose" and "good pose", i.e. the frame has a binary state variable. I want to be able to playback the avi file in matlab and then press space to switch between these two states and simultaneously

问题 I have a bunch of videos and depthmaps showing human poses from the Microsoft Kinect. I can get a skeleton of the human in the video but what I want to do is recognize a certain pose from this skeleton data. To do that I need to annotate each frame in the videos with a 0 or 1, corresponding to "bad pose" and "good pose", i.e. the frame has a binary state variable. I want to be able to playback the avi file in matlab and then press space to switch between these two states and simultaneously

问题 I have a problem where the smartfield (build in xml view using WebIDE) does not show the description of the key field instead just shows the key field in both the dropdown list columns. example : 1(1) and the expectation is 1( local tax ) . My service is built using tcode : SEGW and using WebIDE to develop the ui and annotation for the dropdown as a fixed list. I see a solution smartfield annotation - valuehelp dropdown , but I am unable to add the sap:text to my service in SEGW. Problem :

问题 I have a problem where the smartfield (build in xml view using WebIDE) does not show the description of the key field instead just shows the key field in both the dropdown list columns. example : 1(1) and the expectation is 1( local tax ) . My service is built using tcode : SEGW and using WebIDE to develop the ui and annotation for the dropdown as a fixed list. I see a solution smartfield annotation - valuehelp dropdown , but I am unable to add the sap:text to my service in SEGW. Problem :

问题 I have a problem where the smartfield (build in xml view using WebIDE) does not show the description of the key field instead just shows the key field in both the dropdown list columns. example : 1(1) and the expectation is 1( local tax ) . My service is built using tcode : SEGW and using WebIDE to develop the ui and annotation for the dropdown as a fixed list. I see a solution smartfield annotation - valuehelp dropdown , but I am unable to add the sap:text to my service in SEGW. Problem :

问题 I am having trouble adding R2 annotations to a faceted plot, where my R2 values are sometimes <0.01 (yes, it's not a good regression). I would like the 2 of R2 to be superscript. I have tried several options but seem to be stymied by the < symbol in my values eg, using the iris data set, I first set up a new data frame with my R2 values previously calculated. The x & y positions are also set up as these are different for every facet (not essential for the iris dataset, but it is for mine)

问题 I am having trouble adding R2 annotations to a faceted plot, where my R2 values are sometimes <0.01 (yes, it's not a good regression). I would like the 2 of R2 to be superscript. I have tried several options but seem to be stymied by the < symbol in my values eg, using the iris data set, I first set up a new data frame with my R2 values previously calculated. The x & y positions are also set up as these are different for every facet (not essential for the iris dataset, but it is for mine)

问题 Python doc __future__ In python doc about __future__ there is a table below where it shows that annotations "optional in" 3.7.0b1 and "mandatory in" 4.0 but i am still able to use annotations in 3.8.2 without importing annotations then what is the use of it. >>> def add_int(a:int, b:int) -> int: ... return a + b >>> add_int.__annotations__ {'a': <class 'int'>, 'b': <class 'int'>, 'return': <class 'int'>} I doubt I don't clearly understand the meaning of "optional in" and "mandatory in" here