标签: runtime-error

该项目昨天很好,但是当我今天更新Sdk工具和ADT(REV 22)时,在我运行项目时出现了"无法解析L的超类......"的错误.

我的项目使用ActionbarSherlock和SlidingMenu.

我已经尝试过了:

1. 将外部jar复制到我项目的"libs"文件夹中.(我之前已经这样做了)
2. Properties-> Java Build Path-> Projects并在那里添加库项目.
3. 清洁和重建
4. 重置计算机或IDE
5. 尝试其他包含项目lib的项目
6. 将ADT和Android sdk工具更新到最新版本22后,请遵循Class not found错误

但他们都失败了.

整个Logcat如下:

05-17 06:53:50.087: E/Trace(949): error opening trace file: No such file or directory (2)
05-17 06:53:50.188: W/dalvikvm(949): Unable to resolve superclass of Lcom/qdnews/utils/AsyncImageLoaderX$1; (50)
05-17 06:53:50.197: W/dalvikvm(949): Link of class 'Lcom/qdnews/utils/AsyncImageLoaderX$1;' failed
05-17 06:53:50.197: E/dalvikvm(949): Could not find class 'com.qdnews.utils.AsyncImageLoaderX$1', referenced from method com.qdnews.utils.AsyncImageLoaderX.<init>
05-17 06:53:50.207: W/dalvikvm(949): VFY: unable to resolve new-instance 177 (Lcom/qdnews/utils/AsyncImageLoaderX$1;) in Lcom/qdnews/utils/AsyncImageLoaderX;
05-17 06:53:50.207: D/dalvikvm(949): VFY: …

我正尝试使用此链接使用新的Google Play服务进行Google Plus集成:http://ankitthakkar90.blogspot.sg/2013/05/google-plus-integration-in-android.html

我能够把一切都搞定,除非我试图运行它,它给我提供了这个错误

Android Launch!
adb is running normally.
Performing com.anky.googleplus.MainActivity activity launch
Automatic Target Mode: using device 'CB5A1MQW4P'
Uploading GooglePlusDemo.apk onto device 'CB5A1MQW4P'
Installing GooglePlusDemo.apk...
Success!
Could not find google-play-services_lib.apk!
Starting activity com.anky.googleplus.MainActivity on device CB5A1MQW4P
ActivityManager: Starting: Intent { act=android.intent.action.MAIN cat=[android.intent.category.LAUNCHER] cmp=com.anky.googleplus/.MainActivity }

我确实通过eclipse属性> Android>添加库来引用库,就像这里所做的那样:使用新的Google Play服务 这个错误仍然存​​在.任何建议和反馈都是受欢迎的.

我在没有找到解决方案的情况下进行了广泛的研究.我已经清理了我的数据集如下:

library("raster")
impute.mean <- function(x) replace(x, is.na(x) | is.nan(x) | is.infinite(x) , 
mean(x, na.rm = TRUE))
losses <- apply(losses, 2, impute.mean)
colSums(is.na(losses))
isinf <- function(x) (NA <- is.infinite(x))
infout <- apply(losses, 2, is.infinite)
colSums(infout)
isnan <- function(x) (NA <- is.nan(x))
nanout <- apply(losses, 2, is.nan)
colSums(nanout)

问题出现了运行预测算法:

options(warn=2)
p  <-   predict(default.rf, losses, type="prob", inf.rm = TRUE, na.rm=TRUE, nan.rm=TRUE)

所有的研究都表明它应该是数据中的NA或Inf或NaN,但我没有发现任何数据.我正在制作数据和randomForest摘要可用于[删除] Traceback的调查并没有显示太多(对我来说):

4: .C("classForest", mdim = as.integer(mdim), ntest = as.integer(ntest), 
       nclass = as.integer(object$forest$nclass), maxcat = as.integer(maxcat), 
       nrnodes = as.integer(nrnodes), jbt = as.integer(ntree), …

我正在开发一个简单的游戏,当加载一个特定的UIViewController(称为SPSwipes.swift)时我遇到了麻烦.在屏幕上,有三个按钮:5,10和25.当一个被拾取,一个变量被设置在场景和玩家上移动到主游戏:GameScene.swift.

据我所知,变量在GameScene中被识别,但是当我在模拟器中打开SPSwipes视图时,会出现"NSUnknownKeyException"错误.这是通过segue完成的.这是更详细的错误:

2014-11-09 15:32:43.718 Swipe Racer[2644:1620056] *** Terminating app due to uncaught exception 'NSUnknownKeyException', reason: '[<Swipe_Racer.SPSwipes 0x7fbf52d461b0> setValue:forUndefinedKey:]: this class is not key value coding-compliant for the key fiveSwipes.'
*** First throw call stack:
(
0   CoreFoundation                      0x000000010c021f35 __exceptionPreprocess + 165
1   libobjc.A.dylib                     0x000000010dd1bbb7 objc_exception_throw + 45
2   CoreFoundation                      0x000000010c021b79 -[NSException raise] + 9
3 …

我有一组表示多边形顶点(x,y)的点.

points= [(421640.3639270504, 4596366.353552659), (421635.79361391126, 4596369.054192241), (421632.6774913164, 4596371.131607305), (421629.14588570886, 4596374.870954419), (421625.6142801013, 4596377.779335507), (421624.99105558236, 4596382.14190714), (421630.1845932406, 4596388.062540068), (421633.3007158355, 4596388.270281575), (421637.87102897465, 4596391.8018871825), (421642.4413421138, 4596394.918009778), (421646.5961722403, 4596399.903805929), (421649.71229483513, 4596403.850894549), (421653.8940752105, 4596409.600842565), (421654.69809098693, 4596410.706364258), (421657.60647207545, 4596411.329588776), (421660.514853164, 4596409.875398233), (421661.3458191893, 4596406.136051118), (421661.5535606956, 4596403.22767003), (421658.85292111343, 4596400.94251346), (421656.5677645438, 4596399.696064423), (421655.52905701223, 4596396.164458815), (421652.82841743, 4596394.502526765), (421648.46584579715, 4596391.8018871825), (421646.38843073393, 4596388.270281575), (421645.55746470863, 4596386.400608018), (421647.21939675923, 4596384.115451449), (421649.5045533288, 4596382.661260904), (421650.7510023668, 4596378.714172284), (421647.8426212782, 4596375.8057911955), (421644.9342401897, 4596372.897410107), (421643.6877911517, 4596370.404512031), (421640.3639270504, 4596366.353552659)]

我需要找到最小的封闭圆(区域,中心的x和y,以及半径)

我正在使用从此页面派生的python代码:Nayuki的最小封闭圈

当我运行代码时,结果每次都会改变,例如:

>>> make_circle(points)
(421643.0645666326, 4596393.82736687, 23.70763190712525)
>>> make_circle(points)
(421647.8426212782, 4596375.8057911955, 0.0) …

我正在尝试使用liac-arff库将.arff文件加载到numpy数组中.(https://github.com/renatopp/liac-arff)

这是我的代码.

import arff, numpy as np
dataset = arff.load(open('mydataset.arff', 'rb'))
data = np.array(dataset.data)

执行时,我收到错误.

ArffLoader.py", line 8, in <module>
data = np.array(dataset.data)
AttributeError: 'dict' object has no attribute 'data'

我见过类似的线程,Smartsheet Data Tracker:AttributeError:'dict'对象没有属性'append'.我是Python新手,无法解决此问题.我怎样才能解决这个问题？

对于之前完成Google Foobar挑战的任何人,您是否遇到过这样的错误？

Verifying solution...
{
"bytes" : "CAAaIgogQ291bGQgbm90IGZpbmQgJ2Fuc3dlcicgZnVuY3Rpb24"
}

我已经在Visual Studio中测试了我的解决方案,它工作正常,并提供准确的输出.我只有36个小时的时间来提交我的解决方案,这是最后的挑战,所以我真的很想获得完成它.这是我要验证的代码:

from fractions import *
from math import factorial as fac

def cycle_index(n):
    return [(coeff(term), term) for term in foo(n, n)]

def foo(n, lim):
    soln_set = []
    if n > 0:
        for x in range(lim, 0, -1):
            if x == 1:
                soln_set.append([(1, n)])
            else:
                for y in range(int(n / x), 0, -1):
                    recurse = foo(n - x * y, x - 1)
                    if len(recurse) == 0:
                        soln_set.append([(x, y)])
                    for soln …

我一直试图这样做一个星期,无论如何都没有好处.我正在构建一个依赖于Assimp加载模型的.dll(UNDONE引擎.dll)..dll编译和链接完全没有问题,但是当我尝试在某些应用程序中使用它时,我收到以下错误:

'Test_Game.exe'是我创建的应用程序,它使用的是使用assimp的.dll库.

我从sourceforge存储库下载了assimp.我得到了适用于Windows的3.0版SDK,安装了它,我确实做了一些非常有必要将项目链接起来.

以下是.exe目录的样子:

我已经包含了lib的正确位,即32位版本.

为什么不起作用？Assimp中是否有一些内部错误阻止我使用它？还是有什么我想念的？它是否会导致问题,因为我从dll使用它？你能指导我完成正确安装和使用的步骤吗？我使用visual studio 13.

编辑

在我的exe上运行Dependency walker之后,我得到了这个:

而且我对这意味着什么不太了解,但是,只是猜测,这是否意味着assimp.exe有一些未定义的功能？

我正在尝试使用该yarn self-update命令来查看它是如何工作的,但它不会更新Yarn版本,而是抛出OAuth错误,如此

yarn self-update
yarn self-update v0.15.1
error OAuth2 authentication requires a token or key & secret to be set
    at __dirname.authenticate (/Users/nikjohn/.nvm/versions/node/v6.4.0/lib/node_modules/yarn/node_modules/github/lib/index.js:334:23)
    at Object.<anonymous> (/Users/nikjohn/.nvm/versions/node/v6.4.0/lib/node_modules/yarn/lib/cli/commands/self-update.js:30:12)
    at next (native)
    at step (/Users/nikjohn/.nvm/versions/node/v6.4.0/lib/node_modules/yarn/node_modules/babel-runtime/helpers/asyncToGenerator.js:17:30)
    at /Users/nikjohn/.nvm/versions/node/v6.4.0/lib/node_modules/yarn/node_modules/babel-runtime/helpers/asyncToGenerator.js:35:14
    at new Promise (/Users/nikjohn/.nvm/versions/node/v6.4.0/lib/node_modules/yarn/node_modules/core-js/library/modules/es6.promise.js:191:7)
    at Object.<anonymous> (/Users/nikjohn/.nvm/versions/node/v6.4.0/lib/node_modules/yarn/node_modules/babel-runtime/helpers/asyncToGenerator.js:14:12)
    at Object.run (/Users/nikjohn/.nvm/versions/node/v6.4.0/lib/node_modules/yarn/lib/cli/commands/self-update.js:99:17)
    at run (/Users/nikjohn/.nvm/versions/node/v6.4.0/lib/node_modules/yarn/lib/cli/index.js:237:18)
    at config.init.then (/Users/nikjohn/.nvm/versions/node/v6.4.0/lib/node_modules/yarn/lib/cli/index.js:345:12)
info Visit http://yarnpkg.com/en/docs/cli/self-update for documentation about this command.

有谁知道为什么会这样做以及需要做些什么才能解决这个问题？根据这里的文档,这个命令没有任何这样的OAuth依赖和恕我直言,它也不应该.

看起来这里已有PR了

编辑:进一步的研究表明,这是纱线的一个已知错误.但仍无法解决问题.如果修复程序作为新版本推出,那将是一个奇怪的catch22,但是由于命令失败,用户无法更新.一种可能的解决方案是yarn self-update [tag]代替yarn self-update,但这仍然是一个错误.*

编辑: …

我使用tf.data.datsetAPI 并使用残差网络。当我为 TensorBoard 运行代码以可视化我的嵌入时，我遇到了这个错误，但是当我使用两层网络时，我没有这个问题。

def load_and_preprocess_from_path_label(path, label):
    return load_and_preprocess_image(path), label

ds = tf.data.Dataset.from_tensor_slices((all_image_paths, all_image_labels))
with tf.Session() as sess:
    # TODO (@omoindrot): remove the hard-coded 10000
    # Obtain the test labels
    image_label_ds = ds.map(load_and_preprocess_from_path_label)
    ds = image_label_ds.shuffle(image_count)

RuntimeError                              Traceback (most recent call last)
<ipython-input-41-ead5d6a54baa> in <module>()
     92         # TODO (@omoindrot): remove the hard-coded 10000
     93         # Obtain the test labels
---> 94         image_label_ds = ds.map(load_and_preprocess_from_path_label)
     95         ds = image_label_ds.shuffle(image_count)
     96 
RuntimeError: Attempting to capture an EagerTensor without building a …