eval

HyperLink with NavigateUrl with Eval(). Where is the mistake?

匿名 (未验证) 提交于 2019-12-03 01:57:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: First I was changing HyperLink.NavigateUrl in code-behind on Page_Load() . But after I decided to do it in design using Eval() method. or where id and type - are variables from Request . But it doesn't work. Only raw text 'Refuse' is shown. Where is my mistake? Thanks in advance. 回答1: this is working great NavigateUrl='' 回答2: This worked for me NavigateUrl='' 回答3: Try and ViewSource in your browser, what's being rendered to the client in your href? Is it what you expected?. If you are trying to use variables from the request collection you

Dynamically evaluating simple boolean logic in Python

匿名 (未验证) 提交于 2019-12-03 01:56:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I've got some dynamically-generated boolean logic expressions, like: (A or B) and (C or D) A or (A and B) A empty - evaluates to True The placeholders get replaced with booleans. Should I, Convert this information to a Python expression like True or (True or False) and eval it? Create a binary tree where a node is either a bool or Conjunction / Disjunction object and recursively evaluate it? Convert it into nested S-expressions and use a Lisp parser? Something else? Suggestions welcome. 回答1: It shouldn't be difficult at all to write a

Python: How can I run eval() in the local scope of a function

匿名 (未验证) 提交于 2019-12-03 01:54:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I try to use eval() in a local scope of a function. However it always evaluate in the global scope. Self contained examples: 1- This code works: var1 = 1 var2 = 2 var3 = 3 myDict = dict((name, eval(name)) for name in ["var1", "var2", "var3"]) print(myDict["var1"]) 2- Throws NameError for lvar1 def test1(): lvar1 = 1 lvar2 = 2 lvar3 = 3 myDict = dict((name, eval(name)) for name in ["lvar1", "lvar2", "lvar3"]) print(myDict["lvar1"]) 3- Same outcome as 2. def test2(): lvar1 = 1 lvar2 = 2 lvar3 = 3 myDict = dict((name, eval(name), locals()) for

Python: make eval safe [duplicate]

匿名 (未验证) 提交于 2019-12-03 01:47:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: This question already has an answer here: Python eval: is it still dangerous if I disable builtins and attribute access? 6 answers I want an easy way to do a "calculator API" in Python. Right now I don't care much about the exact set of features the calculator is going to support. I want it to receive a string, say "1+1" and return a string with the result, in our case "2" . Is there a way to make eval safe for such a thing? For a start I would do env = {} env["locals"] = None env["globals"] = None env["__name__"] = None env["__file__"] =

Chrome extension \"Refused to evaluate a string as JavaScript because 'unsafe-eval'

匿名 (未验证) 提交于 2019-12-03 01:47:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I have an error: Refused to execute inline script because it violates the following Content Security Policy directive: "script-src 'self' chrome-extension-resource:" . Either the 'unsafe-inline' keyword, a hash ( 'sha256-...' ), or a nonce ( 'nonce-...' ) is required to enable inline execution. chrome-extension://ldbpohccneabbobcklhiakmbhoblcpof/popup.html:1 Refused to evaluate a string as JavaScript because 'unsafe-eval' is not an allowed source of script in the following Content Security Policy directive: "script-src 'self' chrome

eval()方法与str()方法

风流意气都作罢 提交于 2019-12-03 01:46:53
eval()方法与str()方法 #_author:Administrator#date:2019/10/31a={ 'q':{'xxx':3456}}#将一个字典转换成一个字符串a=str(a)print(type(a))#<class 'str'>print(a)# ‘{'q': {'xxx': 3456}}’#将一个字符串转换成一个字典a=eval(a)print(type(a))#<class 'dict'>print(a)#{'q': {'xxx': 3456}} 来源: https://www.cnblogs.com/startl/p/11769927.html

standard eval with ggplot2 without `aes_string()`

匿名 (未验证) 提交于 2019-12-03 01:38:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I'd like to pass a quoted string to a function that calls ggplot2. library(magrittr); library(ggplot2) g1 <- function( variable ) { ggplot(mtcars, aes_string("wt", variable, size="carb")) + geom_point() } g1("mpg") This works well, but the v3.1.0 documentation advocates quasiquotation and the NSE aes() . All these functions are soft-deprecated. Please use tidy evaluation idioms instead (see the quasiquotation section in aes() documentation). But the aes() examples use NSE ( ie , g1(mpg) instead of g1("mpg") ). Likewise, these SO solutions

Writing an interpreter with OCaml GADTs

匿名 (未验证) 提交于 2019-12-03 01:38:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am writing a small interpreter in OCaml and am using GADTs to type my expressions: type _ value = | Bool : bool -> bool value | Int : int -> int value | Symbol : string -> string value | Nil : unit value | Pair : 'a value * 'b value -> ('a * 'b) value and _ exp = | Literal : 'a value -> 'a exp | Var : name -> 'a exp | If : bool exp * 'a exp * 'a exp -> 'a exp and name = string exception NotFound of string type 'a env = (name * 'a) list let bind (n, v, e) = (n, v)::e let rec lookup = function | (n, []) -> raise (NotFound n) | (n, (n', v)::e

How to eliminate error: “Implied eval is evil”

匿名 (未验证) 提交于 2019-12-03 01:38:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I'm trying to make my code JavaScript "strict", so I'm running it through JSLint to ensure my code is compliant. However, on the following code: setTimeout("getExtJs()", 2000); I receive the following error: Implied eval is evil. Pass a function instead of a string. How do I make my code JavaScript "strict"? 回答1: setTimeout(getExtJs, 2000); Note that there are no quotes around getExtJs, I am passing the function not a String. EDIT: As noted in the comments the reason why JSLint is upset is that when the first argument is a String it is

Tensorflow - eval() error: You must feed a value for placeholder tensor

匿名 (未验证) 提交于 2019-12-03 01:35:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I'm trying to use eval() to understand what is happening in each learning step. However, if I use eval() on an tf.matmul operation, then I would get an error You must feed a value for placeholder tensor . If I removed the eval(), then everything would work properly as expected. num_steps = 3001 with tf.Session(graph=graph) as session: tf.global_variables_initializer().run() writer = tf.summary.FileWriter("/home/ubuntu/tensorboard", graph=tf.get_default_graph()) for step in range(num_steps): offset = (step * batch_size) % (train_labels.shape