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,
Related
Issue
I get the following error whenever I run
all_companies <- jsonlite::fromJSON("https://www.sec.gov/files/company_tickers_exchange.json")
Warning: URL 'https://www.sec.gov/files/company_tickers_exchange.json': status was 'SSL connect error'Error in open.connection(con, "rb") :
cannot open the connection to 'https://www.sec.gov/files/company_tickers_exchange.json'
Thank you in advance for any help!
What I've tried
I am trying to run this on a new work computer, it runs fine on my old work computer but the new one gives me this error.
It seems the difference causing this issue is that I am using {jsonlite} 1.8.2 on my new computer and 1.8.0 on my old computer. Deep in the definition of the fromJSON() function, the working version seems to use curl::curl() to establish a connection whereas the not-working version uses base::url().
The following example line from the help documentation runs fine on the new computer with version 1.8.2
data1 <- fromJSON("https://api.github.com/users/hadley/orgs")
I can access the JSON file I am trying to read on an internet browser.
I do not have permission to install Rtools on my computer to be able to compile an older version of {jsonlite}.
I'm trying to use microk8s for my KubernetesPodOperator in my dag. Unfortunately I can't seem get it to install consistently.
I'm using homebrew to install (or reinstall) microk8s and multipass. When I execute
microk8s install --cpu=4 --mem=10000
I get the errors:
launch failed: The following errors occurred:
qemu-system-aarch64: Error: HV_BAD_ARGUMENT
launch failed: instance "microk8s-vm" already exists
An error occurred with the instance when trying to launch with 'multipass': returned exit code 2.
Ensure that 'multipass' is setup correctly and try again.
(where launch failed: instance "microk8s-vm" already exists appears several times.)
I've tried reinstalling both several times and that doesn't appear to help. Any advice?
Turns out I need to be using microk8s install --cpu=4 --mem=10 not 10000. It wants GB, not MB. My bad. I wish the error message was a little clearer though.
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 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
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/