assert

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 get an error implementing a DNNClassifier in Tensorflow 1.3.0 with Python 2.7. I got the sample code from the Tensorflow tf.estimator Quickstart Tutorial and I want to run it with my own dataset: 3D coordinates and 10 different classes (int labels). Here is my implementation: #!/usr/bin/env python # -*- coding: utf-8 -*- def ReadLabels(file): #load the labels from test file here labelFile = open(file, "r") Label = labelFile.readlines(); returnL = [[Label[i][j+1] for j in range(len(Label[0])-3)] for i in range(len(Label))] returnLint = list

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): 由 翻译 强力驱动 问题: This is the error I get after logging into Stack with my LightOpenID provider script. The OpenID Provider issued an assertion for an Identifier whose discovery information did not match. Assertion endpoint info : ClaimedIdentifier : http : //sub.mydomain.net/?cgillis ProviderLocalIdentifier : http : //sub.mydomain.net/?cgillis ProviderEndpoint : http : //sub.mydomain.net/ OpenID version : 2.0 Service Type URIs : Discovered endpoint info : [{ ClaimedIdentifier : http : //specs.openid.net/auth/2.0/identifier_select

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: As a test engineer, I often have some spaghetti code like below: int *const cpe = &n; assert(42 == *cpe); int *const cpf = &cn; assert(42 == *cpf); int *const cpg = pcn; assert(42 == *cpg); int *const cph = cpcn; assert(42 == *cph); For aesthetics, I would like to align them in columns defined by " ; ", like below: int *const cpe = &n; assert(42 == *cpe); int *const cpf = &cn; assert(42 == *cpf); int *const cpg = pcn; assert(42 == *cpg); int *const cph = cpcn; assert(42 == *cph); Is there a way in emacs to do this? (I know M-x align but it

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 created an RSA key pair using the EVP_aes_256_cbc() cipher. The private key is PEM encoded and has a passphrase. This requires a passphrase to be entered by the user. Here's the create private key call: //Save private key bio_priv = BIO_new_file(full_asymKeyFilePath.c_str(), "a+"); if (PEM_write_bio_RSAPrivateKey( bio_priv, //BIO handle rsa, //Key handle EVP_aes_256_cbc(), //Cipher encoding format pwd, //Password pwd_len, //Password length NULL, //Callback NULL //Not sure ) != 1) { //report err } Then I generated a certificate and signed

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 want to use the tf.with_dependencies function to save the state of my RNNs. For some reason I get the following error. Traceback (most recent call last): File "/home/chase/workspace/AudioRNN/audiornn.py", line 56, in <module> tf.with_dependencies([expected_output], input_tensor) AttributeError: module 'tensorflow' has no attribute 'with_dependencies' The rest of my tensorflow code runs fine. I am in eclipse and with I Ctrl+Click on tf.with_dependencies it takes me to the source code. I noticed that the tf.group function is also in this

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 create some unit testing for a void method. Basically the method is intended to show the role of a system user and implement it within the software. This is the method: public void setPersonObj(Person typeObj) { this.typeObj = typeObj; createMain(); } How would I create an assert case in a separate class that uses unit testing to check this method? Many thanks 回答1: If the method is void it clearly has some side-effects. Otherwise it would be a no-op. So you have no choice and need to validate these side-effects. How to test

Common practice might be to put asserts in code to check input parameters, data integrity, and such, during app development. I test my apps, BUT, given that I'm not Knuth (and he writes $1 checks), and I can't afford to employ a large team of full-time QA people as do some medical and space systems software companies, I assume that all apps will always have plenty of bugs that have never yet been seen during testing or QA. Assuming otherwise seems quite intellectually dishonest. So after testing an app (and obviously removing all bugs causing any previously seen ASSERT failures) and getting