当我运行react-native run-ios构建成功但我得到下面的错误.我已经检查了所有地方,但似乎没有任何工作.sudo在命令前面使用也无济于事.我使用的是Xcode 7.3,react-native-cli:0.2.0,react-native:0.24.1,node v5.11.0.
=== BUILD TARGET mobileTests OF PROJECT mobile WITH CONFIGURATION Release ===
Check dependencies
** BUILD SUCCEEDED **
Installing build/Build/Products/Debug-iphonesimulator/mobile.app
An error was encountered processing the command (domain=NSPOSIXErrorDomain, code=2):
Failed to install the requested application
An application bundle was not found at the provided path.
Provide a valid path to the desired application bundle.
Print: Entry, ":CFBundleIdentifier", Does Not Exist
/Users/astiefel/workspace/bosspayments/mobile/node_modules/promise/lib/done.js:10
throw err;
^
Error: Command failed: /usr/libexec/PlistBuddy -c Print:CFBundleIdentifier build/Build/Products/Debug-iphonesimulator/mobile.app/Info.plist
Print: Entry, …有没有办法将Firebase托管添加到利用webpack的React项目？具体来说,我正在尝试将其添加到https://github.com/mxstbr/react-boilerplate
这是我的firebase.json文件
{
"hosting": {
"firebase": "name",
"public": "app",
"ignore": [
"firebase.json",
"**/.*",
"**/node_modules/**"
],
"rewrites": [
{
"source": "**",
"destination": "/index.html"
}
]
}
}
我打电话时firebase serve页面是空的.但是,如果我这样做npm start的应用程序正常工作.因此,JS/React代码没有被注入index.html,即
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Welcome to Firebase Hosting</title>
</head>
<head>
<!-- The first thing in any HTML file should be the charset -->
<meta charset="utf-8">
<!-- Make the page mobile compatible -->
<meta name="viewport" content="width=device-width, initial-scale=1">
<!-- Allow installing the app to the homescreen …我试图在我创建的jar文件上运行spark-submit.当我在我的机器上本地运行它时它可以正常工作但是当部署到Amazon EC2上时它会返回以下错误.
root@ip-172-31-47-217 bin]$ ./spark-submit --master local[2] --class main.java.Streamer ~/streaming-project-1.0-jar-with-dependencies.jar
Exception in thread "main" java.lang.ExceptionInInitializerError
at org.apache.spark.streaming.StreamingContext$.<init>(StreamingContext.scala:728)
at org.apache.spark.streaming.StreamingContext$.<clinit>(StreamingContext.scala)
at org.apache.spark.streaming.StreamingContext.<init>(StreamingContext.scala:81)
at main.java.Streamer$.main(Streamer.scala:24)
at main.java.Streamer.main(Streamer.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NoSuchFieldException: SHUTDOWN_HOOK_PRIORITY
at java.lang.Class.getField(Class.java:1592)
at org.apache.spark.util.SparkShutdownHookManager.install(ShutdownHookManager.scala:220)
at org.apache.spark.util.ShutdownHookManager$.shutdownHooks$lzycompute(ShutdownHookManager.scala:50)
at org.apache.spark.util.ShutdownHookManager$.shutdownHooks(ShutdownHookManager.scala:48)
at org.apache.spark.util.ShutdownHookManager$.addShutdownHook(ShutdownHookManager.scala:189)
at org.apache.spark.util.ShutdownHookManager$.<init>(ShutdownHookManager.scala:58)
at org.apache.spark.util.ShutdownHookManager$.<clinit>(ShutdownHookManager.scala)
... 14 more
下面是我的pom.xml文件:
<?xml version="1.0" encoding="UTF-8"?>
<project>
<groupId>astiefel</groupId>
<artifactId>streaming-project</artifactId>
<modelVersion>4.0.0</modelVersion>
<name>Streamer Project</name>
<packaging>jar</packaging>
<version>1.0</version>
<properties>
<maven.compiler.source>1.6</maven.compiler.source>
<maven.compiler.target>1.6</maven.compiler.target> …我试图在一个大项目中对一些数据进行简单的Spark并行化,但即使是最简单的例子,我也会收到此错误
Exception in thread "main" java.lang.VerifyError: class com.fasterxml.jackson.module.scala.ser.ScalaIteratorSerializer overrides final method withResolved.(Lcom/fasterxml/jackson/databind/BeanProperty;Lcom/fasterxml/jackson/databind/jsontype/TypeSerializer;Lcom/fasterxml/jackson/databind/JsonSerializer;)Lcom/fasterxml/jackson/databind/ser/std/AsArraySerializerBase;
错误出现在任何简单的并行化,即使是这个简单的并行化.我不知道这个错误甚至来自哪里
val conf: SparkConf = new SparkConf().setAppName("IEEG Spark").setMaster("local")
val sc: SparkContext = new SparkContext(conf)
val data = Array(1, 2, 3, 4, 5)
val distVals = sc.parallelize(data)
distVals.foreach(println)
以下是我的maven pom.xml文件
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<groupId>astiefel</groupId>
<artifactId>ieeg-spark</artifactId>
<modelVersion>4.0.0</modelVersion>
<name>Spark IEEG</name>
<parent>
<groupId>edu.upenn.cis.ieeg</groupId>
<artifactId>ieeg</artifactId>
<version>1.15-SNAPSHOT</version>
</parent>
<properties>
<scala.version>2.10.4</scala.version>
</properties>
<dependencies>
<dependency>
<groupId>edu.upenn.cis.ieeg</groupId>
<artifactId>ieeg-client</artifactId>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.5.0</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-compiler</artifactId>
<version>${scala.version}</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.scalanlp</groupId>
<artifactId>breeze_2.10</artifactId>
<version>0.10</version>
</dependency> …我正在尝试为返回 IO monad 的 haskell 函数编写 HUnit 测试，因为它们执行文件 I/O。有什么办法可以做到这一点吗？现在我正在尝试编写一个仅返回 Bool 的方法，这可以作为我的测试
\n\ncombine :: FilePath -> FilePath -> Bool\ncombine fp1 fp2 = do\n cs <- readFile fp1\n let (_,y,z) = strToHuff cs\n let _ = writeToFile fp2 z y\n (a, b) <- readFromFile fp2\n z == a && b == y\n但这给了我以下错误：
\n\nFileWriter.hs:153:3: Couldn\'t match type \xe2\x80\x98IO b0\xe2\x80\x99 with \xe2\x80\x98Bool\xe2\x80\x99 \xe2\x80\xa6\n Expected type: IO String -> (String -> IO b0) -> Bool\n Actual type: IO String -> (String …尝试将位（0,1）的列表转换为Int8或类似内容，以便我不会仅从1位上浪费ByteString中的一个字节
例如，我可能有一个像[0,1,0,0,0,1,1,1,1,0]之类的列表，它作为ByteString表示每个列表为Byte而不是Bit。
我已经写了一个文件的地图,现在我正在尝试对它进行读取.那可能吗？其中一个问题就是使用ByteString和ByteString.Char8编写和读取代码.我一直收到以下错误
fromList *** Exception: Prelude.read: no parse
我的代码如下:
import qualified Data.ByteString.Char8 as BSC
import qualified Data.ByteString as BS
import qualified Data.Map as Map
type Code = Map.Map Char [Bit]
writeCode :: FilePath -> Code -> IO ()
writeCode fp tr = BS.writeFile ("code_" ++ fp)
(BSC.pack (show (tr :: M.Map Char [Bit])))
readCode :: FilePath -> IO Code
readCode f = do s <- BS.readFile ("code_" ++ f)
let s' = BSC.unpack s
return (read s' :: Code)