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用react-query解决你一半的状态管理问题

失效后自动请求数据）对失效数据垃圾清理数据的CRUD由2个hook处理： useQuery处理数据的查 useMutation处理数据的增/删/改在下面的例子中，点击「创建用户」按钮会发起创建用户的post...(data => axios.post('/api/user', data)); return ( {data.map(user => {user.name})} <button onClick={() => { mutate({name: 'kasong', age:...const {mutate} = useMutation(userData => axios.post('/api/user', userData), { onSuccess: () => {...queryCache.invalidateQueries('userData') } }) // ... } 通过调用mutate方法，会触发请求。

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Spring Cloud Gateway 读取、修改请求体（解决request body内容被截断）

; import org.springframework.web.reactive.function.BodyInserters; import org.springframework.web.reactive.function.server.ServerRequest...= HttpMethod.POST) { return chain.filter(exchange); } return operationExchange...; } }; return chain.filter(exchange.mutate...GatewayFilterChain chain) { ServerHttpRequest request = exchange.getRequest(); // 只拦截POST...serverHttpRequestDecorator = requestDecorator(exchange); return chain.filter(exchange.mutate

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React Query 指南，目前火热的状态管理库！

(text: Todo['text']): Promise => { const response = await fetch('api/tasks', { method: 'POST...结果有三个主要的对象： mutate：这是在你的代码中运行突变的操作 isLoading：这个标志表示突变是否正在进行 error：这表示如果请求出现错误，则显示错误在 React 应用程序中使用突变...= await fetch('/api/auth/signup', { method: 'POST', headers: { 'Content-Type': 'application...= await fetch('/api/auth/signin', { method: 'POST', headers: { 'Content-Type': 'application...(); const navigate = useNavigate(); const { enqueueSnackbar } = useSnackbar(); const { mutate:

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每天20分钟之spring-cloud-gateway基础四自定义过滤工厂

us check login:"+ loginCfg.isCheckLogin()); ServerHttpRequest request = exchange.getRequest().mutate...()) { log.info("do login checking......."); } return chain.filter(exchange.mutate...exchange ).then( Mono.fromRunnable(()->{ log.info("filter1 post...).then( Mono.fromRunnable(()->{ log.info("filter2 post...;import org.springframework.web.reactive.function.server.RouterFunction;import org.springframework.web.reactive.function.server.RouterFunctions

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评估细胞因子活性、免疫细胞极化和细胞间通讯的利器：IREA 分析（二）

rownames(expsubdat) <- toupper(rownames(expsubdat)) polarization_profiles % mutate...的结构 str(polarization_profiles_list) 计算极化分数接下来是score的计算，我们首先需要一个余弦函数 calculate_cosine_similarity function...(scores, group_labels) { p_values function(i) { post_treated post_treated)) < 2 || sum(!...= TRUE), FDR = fdr_p_values ) # 标准化得分并处理 NA polarization_df % mutate

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GraphQL 实战篇之前端Vue+后端Nest

template> import gql from 'graphql-tag' export default { name: 'HelloGraphQL', data: function...$apollo.mutate({ // 查询语句 mutation: gql`mutation changeAuthor {...$apollo.mutate({ // 查询语句 mutation: gql`mutation addPost {.../models/author.model'; import { Post } from './models/post.model'; import { AuthorService } from '....addPost: Post! } type Subscription { postAdded: Post! } 执行查询这时我们的服务已经运行起来，可以执行查询了。 ?

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脚本优化--visium的细胞niche与共定位(R版本)

graphk_vect function...values_from = cluster)k_vect function...(data = map(data, ~ .x[[1]])) %>% mutate(selected_cells = map2(data, ncells, function(dat,n) {...(override.aes = list(size=4)))plot(plt)cts function...prop_data_group % unique() %>% set_names() map(prop_data_group, function

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文献组图

$subgroup))) %>% mutate(layers = factor(....$ystart))) %>% mutate(Q1 = ifelse(.$Q1 == min(.$Q1), 0,.$Q1)) %>% mutate(Q3 = ifelse(....mutate(hnudge = rnorm(nrow(.),-.01,0.5)) %>% {if(nudge) mutate(!!...#mutate(!!(red_1) := !!(red_1)+hnudge) %>% #mutate(!!(red_2) := !!...(lab = obj@active.ident) %>% mutate(., FetchData(., vars = c(as_label(gene))) ) %>% mutate(feat

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R语言包_dplyr_1

有5个基础的函数： - filter - select - arrange - mutate - summarise - group_by (plus) 可以和databases...desc` for descending flights %>% select(UniqueCarrier, DepDelay) %>% arrange(desc(DepDelay)) mutate...(Speed = Distance/AirTime*60) # store the new variable flights % mutate(Speed = Distance...from the previous month flights %>% group_by(Month) %>% summarise(flight_count = n()) %>% mutate...%>% group_by(Month) %>% tally() %>% mutate(change = n - lag(n)) Other functions # randomly

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精读《Tasks, microtasks, queues and schedules》

promise 与 setTimeout 看下面代码的输出顺序： console.log("script start"); setTimeout(function () { console.log...… function onClick() { console.log("click"); setTimeout(function () { console.log("timeout")...click promise mutate timeout timeout 逻辑如下：点击触发 onClick 函数入栈。...打印 promise，打印 mutate，此时 microtasks 已空。执行冒泡机制，outer div 也触发 onClick 函数，同理，打印 promise，打印 mutate。...js 调用栈执行完毕，开始执行 microtasks，按照入栈顺序，打印 promise，mutate，promise。

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【从零开始学深度学习编译器】七，万字长文入门TVM Pass

* \brief Mutate is alias for VisitExpr * \return expr. */ Expr Mutate(const Expr& expr) { return...auto true_b = this->Mutate(op->true_branch); auto false_b = this->Mutate(op->false_branch); if...(expr); } 可以看到常量折叠主要调用了ConstantFolder这个类的Mutate函数。...* \param post 具有重写输入的表达式。...* pre, const Expr& post) { return post; } protected: bool pre_; /*!

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R代码|dplyr包的使用示例

df %>% mutate(area = height * width) cm_per_inch <- 2.54 df %>% mutate( height_cm = cm_per_inch...-------------------------------------- df <- tibble( x = rnorm(3, mean = 12, sd = 5), ) my_abs function...(x) if (x < 0) -x else x df %>% mutate(my_abs(x)) ## ----------------------------------------------...------------------------- ifelse_abs function(x) ifelse(x < 0, -x, x) df %>% mutate(ifelse_abs(x))...mean(y)) ## ------------------------------------------------------------------------ classify function

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【译】如何大大简化你的Vuex Store

async getLineWorkOrders({ rootState, commit }, payload) { try { let response = await axios.post...async getLineWorkOrders({ rootState, commit }, payload) { try { let response = await axios.post...body = Object.assign({}, payload.body, body); } let response = await axios.post...使用统一的mutation 之前，对于需要改变状态mutate state的每个action，我们创建了一个新的mutation来处理这个问题。我们使用单一的mutation来处理这个问题。...下面是我们的单一mutation： const mutations = { mutate(state, payload) { state\[payload.property\] =

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Pinia党福音，Pinia伴侣：pinia-colada

{ data, isLoading } = fetchTodoById(todoId.value); useMutation 基本用法 useMutation 用于请求副作用，管理数据修改操作（如 POST...以下是 useMutation 的基本用法： import { useMutation } from'@pinia/colada'; const { mutate, // 触发修改操作的函数...isPending, // 是否处于等待状态 } = useMutation({ mutation: (newTodo) => fetch('/api/todos', { method: 'POST...', body: JSON.stringify(newTodo), }).then((res) => res.json()), }); // 触发修改操作 mutate({ title:...{ const addTodo = defineMutation({ mutation: (newTodo) => fetch('/api/todos', { method: 'POST

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原来R还可以这么玩！

library("dplyr") library("ggplot2") library("sp") library("rgeos") # Funs -- coord_circle function...0 - r, to = 0 + r, length.out = n %/% 2), y = sqrt(r^2 - x^2) ) %>% bind_rows(., -.) %>% mutate...(x = x + centre[1], y = y + centre[2]) } create_poly function(...) { args <- list(...)...SpatialPolygons( lapply( X = seq_along(args), FUN = function(x) { Polygons(list...(Polygon(as.data.frame(args[[x]]))), names(args)[x]) } ) ) } echancrure function(to_var

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【译】如何大大简化你的Vuex Store

async getLineWorkOrders({ rootState, commit }, payload) { try { let response = await axios.post...body = Object.assign({}, payload.body, body); } let response = await axios.post...payload.url}\`, body, rootState.config.serviceHeaders ); if (payload.commit) { commit('mutate...使用统一的mutation 之前，对于需要改变状态mutate state的每个action，我们创建了一个新的mutation来处理这个问题。我们使用单一的mutation来处理这个问题。...下面是我们的单一mutation： const mutations = { mutate(state, payload) { state\[payload.property\] =

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GateWay 修改请求内容(post)

ServerWebExchange exchange, GatewayFilterChain chain) { // 对阿里网关添加参数统一处理 if (HttpMethod.POST.matches...DataBufferUtils.release(dataBuffer); //进行想要的处理即可 return chain.filter(exchange.mutate...else if (HttpMethod.GET.matches(method)) { // 重写参数 return chain.filter(exchange.mutate...().request(request.mutate().uri(queryParam.getUri()).build()).build()); } return chain.filter

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Python高级算法——遗传算法（Genetic Algorithm）

使用代码演示下面是一个使用遗传算法解决简单优化问题的示例，目标是找到函数 import numpy as np def fitness_function(x): return x**2 -...initialize_population(population_size) for generation in range(generations): fitness = [fitness_function...([mutate(parent1, mutation_rate), mutate(parent2, mutation_rate)]) population = np.array(offspring...) return population[np.argmin([fitness_function(x) for x in population])] # 示例 result = genetic_algorithm...=100, crossover_rate=0.8, mutation_rate=0.1) print("找到的最优解:", result) print("最优解对应的目标函数值:", fitness_function

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PD-L1抑制剂-TNBC-续集

(sum(Freq)) %>% mutate(percent = Freq / `sum(Freq)`) head(bar_per) col =c("#3176B7","#F78000","#3FA116...reduction = "umap", group.by = "Cluster",label = F,raster=FALSE,cols = mycolors,split.by = 'Group') g = function...(sum(Freq)) %>% mutate(percent = Freq / `sum(Freq)`) head(bar_per) library(ggthemes) g1 =...Pre-treatment" & Efficacy_PR == "non-PR", "pre_NR", ifelse(Group == "Post-treatment..." & Efficacy_PR == "non-PR", "post_NR","post_R")))) table(phe_T_com$outcom) table(phe_T_com$Cluster)

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Nature图表复现｜双轴柱状与折线图

<- read_tsv("data.tsv") 数据清洗 df % filter(continent=="Africa") %>% select(1,3,4,6) %>% mutate...= "errorbar", width = .2, color="#00A08A") + # 添加人均GDP（gdpPercap）的误差条 stat_summary(data=df %>% mutate...year, gdpPercap), fun = mean, geom = "errorbar", width=.2, color="#F98400", fun.max = function...(x) mean(x) + sd(x) / sqrt(length(x)), fun.min = function(x) mean(x) - sd(x) / sqrt(length...(x))) + # 添加人均GDP（gdpPercap）的平均值点 stat_summary(data=df %>% mutate(gdpPercap=gdpPercap/20), aes(year

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点击加载更多

用react-query解决你一半的状态管理问题

Spring Cloud Gateway 读取、修改请求体（解决request body内容被截断）

React Query 指南，目前火热的状态管理库！

每天20分钟之spring-cloud-gateway基础四自定义过滤工厂

评估细胞因子活性、免疫细胞极化和细胞间通讯的利器：IREA 分析（二）

GraphQL 实战篇之前端Vue+后端Nest

脚本优化--visium的细胞niche与共定位(R版本)

文献组图

R语言包_dplyr_1

精读《Tasks, microtasks, queues and schedules》

【从零开始学深度学习编译器】七，万字长文入门TVM Pass

R代码|dplyr包的使用示例

【译】如何大大简化你的Vuex Store

Pinia党福音，Pinia伴侣：pinia-colada

原来R还可以这么玩！

【译】如何大大简化你的Vuex Store

GateWay 修改请求内容(post)

Python高级算法——遗传算法（Genetic Algorithm）

PD-L1抑制剂-TNBC-续集

Nature图表复现｜双轴柱状与折线图

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