I am trying to work on a smart contract in TRON and started with tronbox init following https://developers.tron.network/docs/tron-box-user-guide#initialize-a-tron-box-project
After installing tronbox cli using npm on my Ubuntu I tried to initialize the project but it is throwing the error.
I attached a screenshot.
Tried to find the solutions but didn't find the right one.
Please kindly let me know the reason why this is happening if anybody faced this one before.
Thanks.
If you use nvm for Node, please install Node 8:
nvm install v8.16.0
nvm use v8.16.0
Related
I've just set up an Ubuntu Deep Learning AMI EC2 instance. I'm a total beginner on AWS/package handling stuff.
My aim is to use the instance to execute a Python deep learning script. This script uses a variety of packages.
When installing some of these packages with conda, I got an error stating environment inconsistencies for 100+ packages. After many attempts to solve this, I thought removing Anaconda and reinstalling may do the trick. After doing this, I've realised I may have messed up my instance even more. I can now no longer use the preset deep learning environments the AMI has been configured for, as these were accessed using conda commands, which (IMO) I seem to have removed.
I've tried repeating the commands, but I am getting an error stating these environments no longer exist. A tutorial using these commands is mentioned here:
https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-conda.html
source activate tensorflow_p36
I expected the above to enter me into the tensorflow_p36 environment. As in:
(tensorflow_p36) ubuntu#ip-XXX-XX-XX-XX:~/scripts
However it gives an error message:
could not find environment: tensorflow_p36
I realise uninstalling conda was a major rookie error which seems to have totally disabled my instance. If anyone has any ideas to salvage it that would be much appreciated!
Thanks very much
Not exactly your question, but if anybody else is thinking about uninstalling conda from the deep learning AMI because it seems insane, this might help.
The AWS Deep Learning AMIs is configured in a way that makes it refuse to install conda environments that work reliably on other machines. This seems to fix the problem for me:
conda config --set channel_priority false
(This is maybe obvious to conda-heads, but confounded me for a while, so hopefully this helps somebody else.)
I installed h2o using the AMI on the marketplace. It installed 3.14, and I am trying to update the version to the latest stable one of h2o.ai so my co-workers can use flow. How can I best do this?
I have tried uninstalling using
pip install http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/4/Python/h2o-3.18.0.4-py2.py3-none-any.whl
And directly by SSH-ing into my instance via terminal. However, even if it says "successfully uninstalled", it seems to keep reverting to the version 3.14.
I suspect there is a script at startup that is reinstalling and loading 3.14, but I can't figure it out. Any help is appreciated.
I am new to zurb.
i am trying to install foundation using CLI
I used npm install --global foundation-cli
it installed foundation cli.
then i used
foundation new
But it says no arguments are called.
I think it should siplay a menu as written in a book
But mine is like this
Please tell me where am i doing it wrong. thanks
You should simply type the name of your project after 'new'.
I have been trying to install devstack on digitalocean's droplet with ubuntu 14.04 cloud edition. after several times i get this error. is someone familiar with it?
You probably run out of RAM. Try adding swap.
https://www.digitalocean.com/community/tutorials/how-to-add-swap-on-ubuntu-14-04
I'm trying to install otrs-3.2.10-02 on centos 6 using rpm package. But it shows following error.
error: failed dependencies :
perl-core module is required by otrs-3.2.10-02.noarch
cronie module is required by otrs-3.2.10-02.noarch
I tried to get these missing modules but couldn't get them installed.
Can anybody help me to get this working ?
Thanks in advance.
What command did you use to install OTRS? If you use yum the dependencies should be taken care of automatically.
Please check
the chapter about installing on CentOS in the OTRS manual