我有一个现有的代码,通过使用私有构造函数和返回对象实例返回对象来实现单例模式 -
export class SingletonFactory {
private static factoryInstance = new SingletonFactory();
private constructor() {
}
public static getInstance() {
return SingletonFactory.factoryInstance;
}
}
我需要为这个工厂注入一个依赖项。我将代码更改为以下内容 -
@Inject('MyService')
export class SingletonFactory {
private static factoryInstance = new SingletonFactory();
private constructor(private myService : MyService) {
}
public static getInstance() {
return SingletonFactory.factoryInstance;
}
}
请建议我如何在构造函数中创建对象时注入依赖项?
答案 0 :(得分:0)
注入您的组件。
# library for plot
library(plot3D)
# setting seed and generating some data
set.seed(10)
#### storing data in matrix ####
datamatrix <- matrix(c(rnorm(500,-1,.4),rnorm(500,2,0.2),runif(500,-3,0),runif(500,0,3)),nrow=1000,ncol=2,byrow=F)
# locations of cuts
xcuts <- seq(min(datamatrix[,1]),max(datamatrix[,1]),length.out = 6)
ycuts <- seq(min(datamatrix[,2]),max(datamatrix[,2]),length.out = 6)
# calculating values for cutting
xvals <- cut(datamatrix[,1], xcuts)
yvals <- cut(datamatrix[,2], ycuts)
# initializing matrix to store count in each bin
z <- matrix(0,length(levels(yvals)),length(levels(xvals)))
for(i in 1:length(levels(xvals))){
for(j in 1:length(levels(yvals))){
z[j,i] <- length(intersect(which(xvals == levels(xvals)[i]),which(yvals == levels(yvals)[j])))
}
}
#### finding labels from factors cut ####
factsx <- levels(xvals) # factsx <- levels_pc2_cut # or something like that
xlabsFacts <- rep(NA,length(factsx))
for(i in 1:(length(factsx))){
comma_sep <- unlist(gregexpr(pattern =',',factsx[i])) # location of the comma in the factor
#taking section of text and converting to numbers
xlabsFacts[i] <- as.numeric(substr(factsx[i],2,comma_sep-1))
xlabsFacts[i+1] <- as.numeric(substr(factsx[i],comma_sep+1,nchar(factsx[i])-1))
}
factsy <- levels(yvals) # factsy <- levels_pc1_cut # or something like that
ylabsFacts <- rep(NA,length(factsy))
for(i in 1:(length(factsy))){
comma_sep <- unlist(gregexpr(pattern =',',factsy[i])) # location of the comma in the factor
#taking section of text and converting to numbers
ylabsFacts[i] <- as.numeric(substr(factsy[i],2,comma_sep-1))
ylabsFacts[i+1] <- as.numeric(substr(factsy[i],comma_sep+1,nchar(factsy[i])-1))
}
#### formatting plot ####
# contour plot without axes
contour2D(z
,yaxt='n' # no y axis ticks
,xaxt='n' # no x axis ticks
,ylab='y values' # y axis label
,xlab='x values' # x axis label
)
# adding x axis with tick marks
axis(side=1 # bottom
,at=seq(0,1,length.out = length(xlabsFacts)) # change 6 to number of tick marks you want
,labels=round(xlabsFacts,2) # change to labels for tick marks from your data
)
# adding x axis with tick marks
axis(side=2 # bottom
,at=seq(0,1,length.out = length(ylabsFacts)) # change 6 to number of tick marks you want
,labels=round(ylabsFacts,2) # change to labels for tick marks from your data
)