I can't install any package in my atom. it displays one "show output" message, when I click on this, it shows the following error message.
Error Message "Fetching featured packages failed.Hide output… write EPROTO 101057795:error:140943F2:SSL routines:ssl3_read_bytes:sslv3 alert unexpected message:openssl\ssl\s3_pkt.c:1493:SSL alert number 10 101057795:error:1409E0E5:SSL routines:ssl3_write_bytes:ssl handshake failure:openssl\ssl\s3_pkt.c:659:"
Finally, I got a solution to this problem after stuck for long time. Actually I was before I was installing 64-bit of Atom setup, but now installed 32-bit setup of atom.
turn off windows defender and firewall then you can install packages after these works you can turn on firewall
Related
I want to set up rstudio-server on an iMac with support for multiple users and remote login. I followed the steps in the INSTALL tutorial: I built the source, set up the configuration files and the launchd daemon. At first, it works fine, but after some time, I get these warnings/errors when I plot:
2022-06-09 08:02:29.438 rsession[3050:139329] XType: failed to connect - Error Domain=NSCocoaErrorDomain Code=4099 "The connection to service named com.apple.fonts was invalidated: failed at lookup with error 3 - No such process." UserInfo={NSDebugDescription=The connection to service named com.apple.fonts was invalidated: failed at lookup with error 3 - No such process.}
2022-06-09 08:02:29.438 rsession[3050:139329] Font server protocol version mismatch (expected:5 got:0), falling back to local fonts
2022-06-09 08:02:29.438 rsession[3050:139329] XType: unable to make a connection to the font daemon!
2022-06-09 08:02:29.438 rsession[3050:139329] XType: XTFontStaticRegistry is enabled as fontd is not available.
Then I can't plot any more unless I restart R and re-run my code. Do you know what could be the issue? I could not get any help when opening an issue on the rstudio-server github since MacOS is not officially supported.
I was also looking at running rstudio-server via docker, but I couldn't find a good way to map the user namespace from macOS to the container.
Any help or suggestion would be greatly appreciated!
EDIT: It seems I was able to solve the issue by launching the fontd daemon with:
sudo launchctl load -w /System/Library/LaunchAgents/com.apple.fontd.useragent.plist
This seems like an issue with the MacOS font daemon, not with RStudio itself.
Someone reported a similar issue on PhantomJS. Rebooting resolved it for them.
This answer reported the same error for a different build, and they were able to resolve it by installing the correct "Apple Worldwide Developer Relations Certification Authority" in Keychain:
The one I had had an expiration date of February 2023. I deleted that one and went here, downloaded the one called "Worldwide Developer Relations - G3 (Expiring 02/20/2030 00:00:00 UTC)", then retried the build and it worked.
I am trying to run the Julia template in Google Colab, but the first code block throws the following warning:
Unrecognized runtime "julia"; defaulting to "python3"
Google search didn't help. Any ideas?
Ignore the popup Unrecognized runtime "julia"; defaulting to "python3".
When you start, it opens a connection to a machine. julia is not installed on the machine. The first cell starts with '%%shell' to tell jupyter to feed the rest of the cell to the command 'shell'. The rest of the first cell are a series of shell commands that install julia.
This script that installs julia can take a while. When I just tried it, it ran for over 4 minutes. It has several "Installing ..." progress messages, but 3:30 of the wait was after it said "Installing Julia package Plots...". Eventually the output (white area below the gray cell that starts with '%%shell') should say something like the text that was there before it started:
Installing Julia 1.7.1 on the current Colab Runtime...
2022-05-12 01:19:55 URL:https://julialang-s3.julialang.org/bin/linux/x64/1.7/julia-1.7.1-linux-x86_64.tar.gz [123374573/123374573] -> "/tmp/julia.tar.gz" [1]
Installing Julia package IJulia...
Installing Julia package BenchmarkTools...
Installing Julia package Plots...
(long delay here)
Installing IJulia kernel...
[ Info: Installing julia kernelspec in /root/.local/share/jupyter/kernels/julia-1.7
Successfully installed julia version 1.7.1!
Please reload this page (press Ctrl+R, ⌘+R, or the F5 key) then
jump to the 'Checking the Installation' section.
If you've waited much longer than 5 minutes and it hasn't completed, maybe try disconnecting (menu "Runtime" > "Disconnect and delete runtime"), refresh, and start the first cell again.
Ran into the same issue. Found this on Julia's discourse forum (https://discourse.julialang.org/t/how-to-run-julia-in-google-colab/43169)
I am using JupyterLab as my IDE and I have a couple of packages installed. Namely, the 'jupyterlab-dash' and 'juptyerlab-plotly' packages. My issue is when I go to launch 'juptyer lab' from terminal, I notice the following error:
Failed to fetch package metadata for 'jupyterlab-dash': URLError(gaierror(8, 'nodename nor servname provided, or not known'))
I'm not sure why this error is popping up but I've noticed this error only pops up when I have no internet connection (working on a train etc.). Could it be because these packages are trying to call something as I launch and because I don't have an internet connection it raises the error?
In the end I am able to use JupyterLab and the packages as intended (at-least it seems), but I'm curious why this error to 'fetch metadata' appears?
Thanks,
I am using a Mac (OS 10.13.6) and am trying to learn how to use RSelenium.
I have installed RSelenium but am having trouble with the rsDriver command:
rD <- rsDriver(browser="chrome",chromever="80.0.3987.106")
I get this error:
Could not open chrome browser.
Client error message:
Undefined error in httr call. httr output: Failed to connect to localhost port 4567: Connection refused
Check server log for further details.
Warning message:
In rsDriver(browser = "chrome", chromever = "80.0.3987.106") :
Could not determine server status.
I've been poking around for help for a couple of days now but am not clear on the appropriate solution here. I've tried the command with chromever="latest" and following the suggested workaround found here: stackoverflow.com/questions/55201226/. Furthermore, I don't know where to find the "server log" mentioned in the error.
Having never used this package before, or done this type of thing, I can't tell if I just don't have things set up on my machine correctly (non-R requirements of RSelenium that I need to install and where), or whether this is strictly a chrome browser setting/verison issue, or generally mac compatibility issue.
Does anyone an updated (i.e. not involving the defunct checkForServer() command) set of steps (for absolute Selenium beginners) for getting RSelenium set up and rsDriver working on a mac?
After a lot of trials and errors, I managed to solve the same issue by installing
Java SE Development Kit 14 on my Mac.
I hope this solves your issue.
I've been trying to install and run keras in RStudio (Windows) in vain.
i installed keras package using normal package "keras"
(didn't use github)
I've installed latest python (3.6) and Anaconda.
then i use
> library(keras)
> install.keras()
and i get this error:
Creating r-tensorflow conda environment for TensorFlow installation...
Fetching package metadata ... CondaHTTPError: HTTP 000 CONNECTION
FAILED for url
https://repo.continuum.io/pkgs/main/win-64/repodata.json.bz2
Elapsed: -
An HTTP error occurred when trying to retrieve this URL. HTTP errors
are often intermittent, and a simple retry will get you on your way.
ConnectTimeout(MaxRetryError("HTTPSConnectionPool(host='repo.continuum.io',
port=443): Max retries exceeded with url:
/pkgs/main/win-64/repodata.json.bz2 (Caused by
ConnectTimeoutError(, 'Connection to repo.continuum.io timed out.
(connect timeout=9.15)'))",),)
Error: Error 1 occurred creating conda environment r-tensorflow In
addition: Warning message: running command
'"C:\PROGRA~3\ANACON~1\Scripts\conda.exe" "create" "--yes" "--name"
"r-tensorflow" "python=3.6"' had status 1
I've looked up everywhere on the web and can't figure out how to install keras and tensorflow properly. Using latest version of R (3.4.2)
Every method fails somewhere.
just to add to misery, i've also tried:
> devtools::install_github("rstudio/keras")
and i get this error:
Installation failed: Timeout was reached: Connection timed out after
10015 milliseconds
I am not behind any authenticated proxies. So, after multiple failure, i just downloaded the zip file from github and manually installed it using the zip file.
i also tried install.packages("keras") and that didn't give me any error either.
when i call the library i don't get any errors (as shown above)
UPDATE: I was able to install and use the package very easily on another computer that doesn't have python/anaconda installed on it already.
UPDATE 2: my proxy does not need authentication and there is no https_proxy either.
OK,, FINALLY found a solution.
Turns out RStudio uses a lot of default proxy settings, so i needed to change all that and set up my own proxy settings.
First step:
Rstudio --> Tools --> Global Options --> packages --> uncheck both "Use secure download method for HTTP" and "Use Internet Explorer librayr/proxy for HTTP"
Second step, in RStudio type:
> file.edit('./.Renviron')
Either an empty file or some file with already existing proxy settings will open. (Mine was empty). Then I included the following two:
http_proxy=http://myusename:password#proxy.server.com:port/
https_proxy=http://myusename:password#proxy.server.com:port/
(a few notes: I didn't have a https_proxy setting but I still needed to use the http_proxy details for my https_proxy setting. This was one of the culprits for my issue. Also, I needed to include the username:password even though my proxy doesn't need secure authentication. Same thing goes with the port. Port number had to be included, otherwise it wouldn't work.
Step 3:
Saved the new changes in .Renviron file and restarted RStudio.
I checked my proxy settings in RStudio after restart by typing:
> Sys.getenv("http_proxy")
> Sys.getenv("https_proxy")
The first few times i did this i realised that the proxy settings were not being changed in RStudio because i was editing the wrong .Renviron file. So, it's best to use file.edit('~/.Renviron') in step 2 to make sure it's the right file.
After all this, when i ran install.keras(), it installed successfully, including installing Tensorflow. Again, initially i had skipped step 1 so keras started being installed but it failed at installing tensorflow.
It was only going through all the steps that i was able to install both keras and tensorflow successfully over a proxy. Hope this helps.
Uninstalling Anaconda3 and installing Anaconda2 (i.e. Python 2.7) did the trick for me: https://www.anaconda.com/download/