environment-variables

问题 I'm trying to parse environment variables from the JSON output of docker inspect . Annoyingly, those environment variables aren't returned as useful key-value pairs. They're just an array of x=y strings. Here's a relevant snippet of the output: [ { "Config": { "Env": [ "JENKINS_HOST=1.2.3.4", "JENKINS_INSTANCE=tea", "JENKINS_NAME=Enterprise Architecture Tools", "JENKINS_VERSION=2.46.2", "JENKINS_PROTOCOL=http" ] } } ] I would like to convert that array into something like this: { "Config": {

问题 I need a way to expand environment variable on a remote machine. Suppose I have a path to a folder %appdata%\MyApp\Plugins or %ProgramFiles%\MyCompany\MyApp\Plugins and I want to list files in that folder for audit purposes. The only problem is I want to do it on a remote machine, which however I have admin access to. An extra question (but not essential) is how to do that for given user on remote machine? 回答1: You would use GetFolderPath. There are a bunch of different SpecialFolder values

问题 I'm trying to follow docs on adding env variables from react-create-app without success: https://github.com/facebookincubator/create-react-app/blob/master/packages/react-scripts/template/README.md#adding-custom-environment-variables inside root of the document I have a ".env" file (default .env properties) .env file contains only one variable 'REACT_APP_API_HOST=http://localhost:8080' trying to access process.env inside my app (created with create react app) gives me undefined This is app.js

问题 I'm trying to follow docs on adding env variables from react-create-app without success: https://github.com/facebookincubator/create-react-app/blob/master/packages/react-scripts/template/README.md#adding-custom-environment-variables inside root of the document I have a ".env" file (default .env properties) .env file contains only one variable 'REACT_APP_API_HOST=http://localhost:8080' trying to access process.env inside my app (created with create react app) gives me undefined This is app.js

问题 I have just installed Java JDK 6u33 in Windows XP. Even though I didn't set the PATH environment variable, I am able to run java -version in command prompt. When I run this command for %i in (java.exe) do @echo. %~$PATH:i , I get this output: C:\WINDOWS\system32\java.exe When I check my PC, I found that there are 2 java.exe: 1. C:\Program Files\Java\jdk1.6.0_33\bin\java.exe 2. C:\WINDOWS\system32\java.exe May I know what is the difference between system32\java.exe and Program Files\Java\jdk1

问题 I am trying to clone a Git repo using a custom SSH command. I set the SSH command in the GIT_SSH environmental variably be running export GIT_SSH="/usr/bin/ssh -o StrictHostKeyChecking=no -i /home/me/my_private_key" . But when, after the previous command I run git clone git@bitbucket.org:uname/test-git-repo.git , I get the following weird error error: cannot run /usr/bin/ssh -o StrictHostKeyChecking=no -i /home/me/my_private_key fatal: unable to fork Can you please help me out solve this

问题 Is there a way to modify the PATH environment variable in a platform independent way using python? Something similar to os.path.join() ? 回答1: You should be able to modify os.environ . Since os.pathsep is the character to separate different paths, you should use this to append each new path: os.environ["PATH"] += os.pathsep + path or, if there are several paths to add in a list: os.environ["PATH"] += os.pathsep + os.pathsep.join(pathlist) As you mentioned, os.path.join can also be used for

问题 I have two GPUs and would like to run two different networks via ipynb simultaneously, however the first notebook always allocates both GPUs. Using CUDA_VISIBLE_DEVICES, I can hide devices for python files, however I am unsure of how to do so within a notebook. Is there anyway to hide different GPUs in to notebooks running on the same server? 回答1: You can set environment variables in the notebook using os.environ . Do the following before initializing TensorFlow to limit TensorFlow to first

问题 I have two GPUs and would like to run two different networks via ipynb simultaneously, however the first notebook always allocates both GPUs. Using CUDA_VISIBLE_DEVICES, I can hide devices for python files, however I am unsure of how to do so within a notebook. Is there anyway to hide different GPUs in to notebooks running on the same server? 回答1: You can set environment variables in the notebook using os.environ . Do the following before initializing TensorFlow to limit TensorFlow to first

问题 In order to get an environment variable in a C program, one could use the following: getenv() extern char **environ; But other than the above mentioned, is using char *envp[] as a third argument to main() to get the environment variables considered part of the standard? #include <stdio.h> int main(int argc, char *argv[], char *envp[]) { while(*envp) printf("%s\n",*envp++); } Is char *envp[] portable? 回答1: The function getenv is the only one specified by the C standard. The function putenv,