问题:出现function(){return u(n),r.apply(this,arguments)} 1.打开宝塔面板,找到防火墙 3.全局设置里找到POST过滤,关掉即可 再保存就正常了 问题原理 宝塔面板防火墙拦截POST请求 注:apply作用自行百度 返回了一个改变自身方法this指向的一个方法。(多用于回调方法中改变this指向) 在一个封闭作用域中,既可以
apply :Apply Functions Over Array Margins by :ApplyaFunctiontoaData Frame Split by Factors eapply :ApplyaFunction Over Values in an Environment lapply :ApplyaFunction overaList or Vector mapply :ApplyaFunctiontoMultiple List or Vector Arguments rapply :Recursively ApplyaFunctiontoaList tapply :Apply...
convert_as_factor(), set_ref_level(), reorder_levels(): Provides pipe-friendly functions to convert simultaneously multiple variables into a factor variable. make_clean_names(): Pipe-friendly function to make syntactically valid column names (for input data frame) or names (for input vector)....
Error: attempt to apply non-function Error: Can’t rename columns that don’t exist. Error: cannot allocate vector of size X Gb Error: Continuous value supplied to discrete scale Error: Discrete value supplied to continuous scale Error: geom_point requires the following missing aesthetics: x, ...
Apply a Function Over Valuesinan Environment 对环境中的值使用函数 eapply(env, FUN, ..., all.names= FALSE, USE.NAMES =TRUE) mapply Apply a Function to Multiple List or Vector Arguments 对多个列表或者向量参数使用函数 mapply(FUN, ..., MoreArgs= NULL, SIMPLIFY = TRUE, USE.NAMES =TRUE) ...
上一节把握了一下Mask RCNN项目的整体逻辑,这一节主要从TensorFlow和Keras的交互以及Mask RCNN的网络结构入手来分析一下。 1. TensorFlow和Keras的交互说明 相信熟悉Keras的同学都经常看到这行代码: import keras.backend as K 如果Keras的后端是基于TensorFlow的,那么这个K就是Tensorflow了,那么自然会想一个问题,为什...
eapply Apply a Function Over Values in an Environment 对环境中的值使用函数 eapply(env, FUN, ..., all.names = FALSE, USE.NAMES = TRUE) mapply Apply a Function to Multiple List or Vector Arguments 对多个列表或者向量参数使用函数 mapply(FUN, ..., MoreArgs = NULL, SIMPLIFY = TRUE, USE...
log.transform", "ERROR: Arguments to function log.transform must be greate than zero", "ERROR: Aggurment multiplier to funcition log.transform must be a scaler", "ERROR: Invalid time seies value encountered in function log.transform" ) ## Check the input arguments if(!is.numeric(invec) ...
arguments.# If the input port is not connected, the corresponding# dataframe argument will be null.# Param<dataframe1>: a R DataFrame# Param<dataframe2>: a R DataFrameazureml_main <-function(dataframe1, dataframe2){ print("R script run.")if(!require(zoo)) install.packages("zoo",repos...
It is possible to use the dyn pattern on function arguments.inl add ~a ~b = a + b inl main () = inl x = 1i32 inl y = 2 add x y let v0 : int32 = 1 let v1 : int32 = 2 v0 + v1Here is an example that performs several additions.inl add ~a ~b : i32 = a + b...