我有一个后卫，我在哪里呼叫NGRX选择来设置后卫
pipe of undefined下面是我在没有使用JEST的情况下编写的测试案例 ，并且在fdescribe('AppGuard', () => {
let service: AppGuard;
beforeEach(() => {
const storeStub = {
pipe: () => ({ pipe: () => ({}) }),
dispatch: () => ({})
};
TestBed.configureTestingModule({
providers: [AppGuard, { provide: Store, useValue: storeStub }]
});
service = TestBed.get(AppGuard);
});
it('can load instance', () => {
expect(service).toBeTruthy();
});
describe('canActivate', () => {
it('makes expected calls', () => {
spyOn(service, 'checkAppStore');
service.canActivate();
expect(service.checkAppStore).toHaveBeenCalled();
});
});
describe('checkAppStore', () => {
it('makes expected calls', () => {
const storeStub: Store<any> = TestBed.get(Store);
spyOn(storeStub, 'pipe');
spyOn(storeStub, 'dispatch');
service.checkAppStore();
expect(storeStub.pipe).toHaveBeenCalled();
expect(storeStub.dispatch).toHaveBeenCalled();
});
});
});
上出现了错误
TypeError: Cannot read property 'pipe' of undefined我得到的错误是
library(dplyr)
library(tidyr)
library(tibble)
library(parallel)
#You seem to have rows of data that should be columns,
# this puts things in a form more suitable for work in R
df_new <- df %>%
mutate(row = 1:n()) %>%
gather(key = sample,value = val,sample1:sample4) %>%
arrange(row,sample)
#Data in rownames is not terribly useful
traits_new <- rownames_to_column(traits,"sample")
#Now we can put it all in *one* data frame
df_new <- left_join(df_new,
traits_new,
by = "sample")
#...and split it into a list representing each of the df's you
# want a lm() fit on
df_new_split <- split(df_new,df_new$row)
#Wrapper for lm with the only formula we need
fit_lm <- function(x){
lm(val ~ var1,data = x)
}
num_cores <- detectCores() - 1
cl <- makeCluster(num_cores)
results <- parLapply(cl = cl,df_new_split,fit_lm)
（甚至可以在没有JEST或模拟存储的情况下对NGRX选择命令进行单元测试吗？）