The command sdef /Applications/Music.app | sdp -fh --basename Music
returns
couldn't get sdef for /Applications/Music.app (error -43) in macOS Catalina but using it in High Sierra works as expected (changing Music.app to iTunes.app)
If you open the contents of Music.app you'll find the dictionary inside Resources.
Has there been any changes in Catalina about retrieving the dictionary definition?
In Catalina, all built-in system applications are under /System/Applications (a new read-only directory), not /Applications like they were previously. The /Applications folder now houses third party and user installed applications.
macOS Catalina uses firmlinks1 to include applications from the /System/Applications, inside the /Applications folder.
It's a little confusing, but the end-result is that—you need to call sdef on /System/Applications/Music.app, not /Applications/Music.app, as /Applications/Music.app is only a firmlink. sdef, however, doesn't seem to follow the firmlink, for reasons I haven't been able to figure out at this time.
Related
I'm having issues with Azure Machine Learning SDK for R: "module 'azureml' has no attribute 'core'"...
For reasons that aren't my own, I have to use azureml to apply machine learning (my own stuff, written in R) to data from our data warehouse that is put in the blob storage. The modelled output should be put back into the blob storage so it can be accessed from the data warehouse.
I've written the code in R on my local machine (stored in a git repo). Preferably, I'd find some method to pull my code from git into a pipeline in the azureml environment so that it can be directly run whenever new data is available in the blob storage.
I've embarked on a tutorial-spree and found this seemingly relevant walkthrough: Train and deploy your first model with Azure ML (and this one).
But... after trying all I could think of, I'm stuck on the first steps. After installing all (or at least.. that's what I think) packages, modules, apps etc, and running the following code in RStudio:
library(azuremlsdk)
existing_ws <- get_workspace(name = name,
subscription_id = subscription_id,
resource_group)
I run into an error that I haven't been able to fix:
AttributeError: module 'azureml' has no attribute 'core'
It seems that the azuerml is supposed to have an attribute "core", but when looking at it more closely, there is indeed no such attribute.
The function "get_workspace()" is trying to access: "azureml$core$Workspace$get".
I found that "azuerML$Workspace" does exist, but then I can't figure out how to make that work.
Can anyone explain to me why I'm encountering this error?
Does anyone know of a better tutorial on how to connect my R code the azureml's cloud service?
Any pointers in the right direction are much appreciated!
EDITS - still not solved:
After advice from others, I double, triple and quadruple checked the installation.
I updated R and I'm now running:
R.version
platform x86_64-w64-mingw32
arch x86_64
os mingw32
system x86_64, mingw32
status
major 3
minor 6.2
year 2019
month 12
day 12
svn rev 77560
language R
version.string R version 3.6.2 (2019-12-12)
nickname Dark and Stormy Night
I installed Conda with Python 3.6.10.
I installed the azuremlsdk R package (I tried both provided options).
I then realized that there are some inconsistencies with the versions of the azure-modules, so I also tried installing it with the keyword 'multi-arch':
remotes::install_cran('azuremlsdk', repos = 'http://cran.us.r-project.org', INSTALL_opts=c("--no-multiarch"))
Then, I installed the azureml python sdk.
I had a look at all the versions again (using python -m pip freeze):
azure-common==1.1.24
azure-graphrbac==0.61.1
azure-mgmt-authorization==0.60.0
azure-mgmt-containerregistry==2.8.0
azure-mgmt-keyvault==2.0.0
azure-mgmt-resource==7.0.0
azure-mgmt-storage==7.1.0
azureml==0.2.7
azureml-automl-core==1.0.83.1
azureml-core==1.0.69
azureml-dataprep==1.1.36
azureml-dataprep-native==13.2.0
azureml-pipeline==1.0.69
azureml-pipeline-core==1.0.69
azureml-pipeline-steps==1.0.69
azureml-sdk==1.0.69
azureml-telemetry==1.0.69
azureml-train==1.0.69
azureml-train-automl-client==1.0.83
azureml-train-core==1.0.69
azureml-train-restclients-hyperdrive==1.0.69
As I was surprised to see all the 1.0.69 versions, instead of the 1.0.83 versions, I re-installed the azureml python sdk using:
azuremlsdk::install_azureml(version = "1.0.83")
This worked, in the sense that indeed all versions are now 1.0.83:
azure-common==1.1.24
azure-graphrbac==0.61.1
azure-mgmt-authorization==0.60.0
azure-mgmt-containerregistry==2.8.0
azure-mgmt-keyvault==2.0.0
azure-mgmt-resource==7.0.0
azure-mgmt-storage==7.1.0
azureml==0.2.7
azureml-automl-core==1.0.83.1
azureml-core==1.0.83
azureml-dataprep==1.1.36
azureml-dataprep-native==13.2.0
azureml-pipeline==1.0.83
azureml-pipeline-core==1.0.83
azureml-pipeline-steps==1.0.83
azureml-sdk==1.0.83
azureml-telemetry==1.0.83
azureml-train==1.0.83
azureml-train-automl-client==1.0.83
azureml-train-core==1.0.83
azureml-train-restclients-hyperdrive==1.0.83
But still... I get the error with the missing core. I get it both when running:
library(azuremlsdk)
get_current_run()
and also when running:
library(azuremlsdk)
existing_ws <- get_workspace(name = name,
subscription_id = subscription_id,
resource_group)
Note that the first time running this code after starting up RStudio, I get the error:
Error in py_get_attr_impl(x, name, silent) :
AttributeError: module 'azureml' has no attribute '_base_sdk_common'
And every time after that I get this error:
Error in py_get_attr_impl(x, name, silent) :
AttributeError: module 'azureml' has no attribute 'core'
Any help would be much appreciated!
This issue was introduced by the latest reticulate 1.14 release, in which reticulate would create a default r-reticulate conda environment. Since Azure ML was installing the python SDK in an environment named r-azureml, the r-reticulate environment used by reticulate was missing the python SDK. A fix for this issue was addressed in a PR and has been merged into master. Please install from GitHub for now if you have reticulate version 1.14 and are running into this issue. We will be releasing an update to CRAN shortly.
I seemed to have fixed the issue by specifically installing the python package azureml AND azureml.core:
python -m pip install azureml
and then...
python -m pip install azureml.core
I did this for the Conda version that was called by R (r-reticulate). It's a bit odd to not be able to use the Conda environment 'r-azureml' without R switching back to 'r-reticulate', but ah well... at least I don't get my 'azureml' has no attribute 'core' anymore.
I use R to work with my google drive on 2 windows machines as well as my macbookpro. Depending on which machine I am on, I end up un-commenting and commenting out the lines of code that start a script as shown here:
#setwd("C:/Users/sweetusername/Google Drive/projectX") # win10 work
#setwd("~/Google Drive/projectX") # macbookpro
setwd("C:/Users/sweetusername_butslightlydifferent/Google Drive/projectX") # win10 home
I'd like to be able to check as such:
ifelse(operating system == mac, setwd("~/Google Drive/projectX"),
ifelse(find C:/Users/sweetusername,
setwd("C:/Users/sweetusername/Google Drive/projectX"),
ifelse(find C:/Users/sweetusername_butslightlydifferent,
setwd("C:/Users/sweetusername_butslightlydifferent/Google Drive/projectX"),
print("Location Not Found: Check Directory Structure"))))
I know this is pretty cludgy thinking, and someone has elegantly thought of how to do this. I have found where people scan a directory for files, so i can get the syntax for the last two parts. But checking if OS is mac or even linux would be very useful for me and I've not found how to do that.
I am aware that using a project in rstudio would be ideal, but I have issues with Google Drive trying to sync that file and locking it every single time any change is made to it. It is very irritating, so I have not been using Rstudio projects.
The data about your machine should be available in Sys.info().
Mac OS will typically have a "Darwin" as it's name so you could use it to check if you are on a mac machine:
sysname <- Sys.info()["sysname"]
if(sysname == "Darwin") {
setwd("~/Google Drive/projectX") # example on mac machine
} else if(sysname == "Linux") {
setwd("~/GoogleDrive/projextX") # example on linux machine
} else if(sysname == "Windows") {
setwd("C:/Users/sweetusername/Google Drive/projectX") # example on win machine
}
Thanks to #RLave for providing the sysname value for Windows.
Alternative way is to only check based on file-paths and set the working directory to the first available directory in your list:
locations <- c("~/Google Drive/projectX",
"C:/Users/sweetusername/Google Drive/projectX",
"C:/Users/sweetusername_butslightlydifferent/Google Drive/projectX",
)
setwd(Find(dir.exists, locations))
Paths starting with tilde ~ will not be available on Windows machines - so this will also differentiate between macos and windows.
I am having problems opening RStudio, it worked fine before I got my mouse pad reconfigured. Here goes... When I open the program, it loads but appears blank. The menu tabs appear but do not populate when clicked. I've read a few answers to this one of which involved deleting the 'RStudio-Desktop' within the local files but did not solve the issue. I managed to run the RStudio diagnostic and below is the error message. OS is Windows 7.
I would be grateful if anyone can provide some insight regarding this.
Attempting to launch R session...
R_HOME=C:\PROGRA~1\R\R-33~1.1
PATH=C:\Program Files\R\R-3.3.1\bin\x64;C:\WINDOWS\Orant\product\11.2.0\client
_1\bin;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\Syste>m
32\WindowsPowerShell\v1.0\;C:\Program Files (x86)\Intel\OpenCL SDK\3.0\bin\x86;C
:\Program Files (x86)\Intel\OpenCL SDK\3.0\bin\x64;C:\Program Files\Intel\WiFi\b
in\;C:\Program Files\Common Files\Intel\WirelessCommon\;C:\Program Files (x86)\M
icrosoft Application Virtualization Client;C:\Program Files (x86)\QuickTime\QTSy
stem\
R session launched, attempting to connect on port 44157...
Connected to R session, attempting to initialize...
13 Oct 2016 16:04:22 [rsession-B859XXXX] ERROR system error 5 (Access is denied)
[path=//mshsrmsapppXXXX/B859XXXX$]; OCCURRED AT: rstudio::core::Error rstudio::
core::FilePath::makeCurrentPath(bool) const C:\Users\Administrator\rstudio\src\c
pp\core\FilePath.cpp:978; LOGGED FROM: int main(int, char* const*) C:\Users\Admi
nistrator\rstudio\src\cpp\session\SessionMain.cpp:3202
QApplication::qAppName: Please instantiate the QApplication object first
C:\Program Files\RStudio>
Thanks,
Mits
Error 5 would suggest that the application is being written to those directories which does not have write privileges.
Make sure those folders have write privileges.
You can also try running RStudio application as Administrator.
To do so, Click on Start -> RStudio ( right click) -> Run as administrator.
I had similar problems installing R and RStudio on Windows 8.1 in C:\Program Files. From Vista, Windows places multiple restrictions on systems folders such as %windir% and %ProgramFiles%.
Uninstall and re-install in a folder where you are not restricted, such as C:\Apps or similar. You should hopefully have no further issues.
I already installed OpenCPU on a Ubuntu Server - Ubuntu 14.04.1 LTS (GNU/Linux 3.13.0-32-generic x86_64) - and everything worked perfectly without any problems.
Here I want to say that I really like this API and I am very thankful for all the effort from the people (I think mostly Jeroen Ooms) working on it.
Now I installed it again, but on another Server hosted at another provider. It is also a Ubuntu Server - Ubuntu 14.04.1 LTS (GNU/Linux 3.13.0-042stab093.4 x86_64) - and therefore I expected it to work as smoothly as before.
But now I have a problem. After the installation and starting the service, I wanted to check through my browser if everything is OK.
So I just opened http://xxx.xxx.xxx.xxx/ocpu like it worked on my other server. This time my browser doesn't show the OpenCPU API Explorer, but the following message:
Failed to set rlimit. ENOSYS
In call:
rlimit_wrapper("rlimit_as", hardlim, softlim, pid, verbose)
The server only has 1GB of physical memory, so I thought changing the "rlimit.as" to 1e9 instead of the standrd 2e9 would fix the problem (I also tried 750000000 and 500000000), but nothing helped (of course I restarted the service opencpu again after each change).
I also think that this is not the problem, because I guess the server would use virtual memory when an operation uses more than one GB.
I think the problem has to do with RAppArmor. So I tried to disable it and restart opencpu, but the problem didn't vanish:
$ sudo aa-disable usr.bin.r
Disabling /etc/apparmor.d/usr.bin.r.
Traceback (most recent call last):
File "/usr/sbin/aa-disable", line 30, in
tool.cmd_disable()
File "/usr/lib/python3/dist-packages/apparmor/tools.py", line 148, in cmd_disable
raise apparmor.AppArmorException(cmd_info[1])
apparmor.common.AppArmorException: 'Warning: unable to find a suitable fs in /proc/mounts, is it mounted?\nUse --subdomainfs to override.\n'
So does anyone know what the problem here could be or has any suggestions where to look for a solution (I tried to google already, but didn't find anything helpful)?
I don't think anything of the following is the cause of the problem, but since I'm not sure, I add these warnings anyways:
The only strange thing I encountered during the OpenCPU installation was this message (which appeared 4 times):
iptables v1.4.21: can't initialize iptables table `nat': Table does not exist (do you need to insmod?)
Perhaps iptables or your kernel needs to be upgraded.
But afterwards it said:
* Reloading nginx configuration nginx [ OK ]
OK
Setting up opencpu (1.4.4-trusty15) ...
Also when I tried to install RAppArmor separately, I got the following warning:
perl: warning: Please check that your locale settings:
LANGUAGE = (unset),
LC_ALL = (unset),
LC_CTYPE = "UTF-8",
LANG = (unset)
are supported and installed on your system.
perl: warning: Falling back to the standard locale ("C").
locale: Cannot set LC_CTYPE to default locale: No such file or directory
locale: Cannot set LC_ALL to default locale: No such file or directory
Selecting previously unselected package r-cran-rapparmor.
And also this one:
Warning: unable to find a suitable fs in /proc/mounts, is it mounted?\nUse --subdomainfs to override.\n
Thanks in advance!
It looks like your new hosting provider uses some sort of virtualization system that has a shared kernel which limits all kind of linux functionality, including rlimit, iptables and probably apparmor. Is an actual cloud host, or something you setup yourself?
It would be helpful to debug this in R (outside of opencpu). On your server, start R in the console and type:
library(RAppArmor, lib="/usr/lib/opencpu/library")
rlimit_as(1e9)
rlimit_fsize(1e9)
rlimit_cpu(1e5)
After going through a lot of sites about best terminal for system admins I was trying to install on Cygwin. Unfortunately, I did not find any good site with instruction about how to do it.
Is anyone done this before? Please help me with steps and packages that I need to install.
Also is there any terminals I can try (like Cygwin)?
I don't know since what version, but now you can install terminator just from the Cygwin installer. And runs great
Regards
If you don't want to use cygwinports, you can actually install all of terminator's dependencies from the cygwin installer, except for terminator itself.
In the cygwin installer select and install:
python-dbus
python-gobject
python-gtk2.0
python-vte (under GNOME tab for some reason)
GConf2
Then, pull down the latest terminator tarball from https://launchpad.net/terminator/+download and extract it somewhere. In a administrator terminal just run python setup.py install and as long as you have a running X server just running terminator will work perfectly.
The sources about how to install terminator are a bit obscures. What I did, and may help you, was this: (although I'm still having segmentation faults errors)
Update your Cygwin to the latest
Open a Cygwin terminal and run: (if you have the x86 version use that. The idea of this step is to use Cygwin Ports)
cygstart -- /your/cygwin/path/setup-x86_64.exe -K http://cygwinports.org/ports.gpg
In the section Choose A Download Site:
Add "http://downloads.sourceforge.net/cygwin-ports"
Add " ftp://ftp.cygwinports.org/pub/cygwinports"
Select another mirror close to you
Check that you have a total of three URLs selected
It may show you warning about not loading the .ini configuration but ignore them (Note: I looked for different port URLs but the official ones threw me errors and I could not pass this step, that's why I used alternatives URLs)
First, you need to install the packages for the X Window:
http://x.cygwin.com/docs/ug/setup.html
Basically they are:
xorg-server (required, the Cygwin/X X Server)
xinit (required, scripts for starting the X server: xinit, startx, startwin (and a shortcut on the Start Menu to run it), startxdmcp.bat )
xorg-docs (optional, man pages)
Also search and select the terminator package
It takes quite a while before it finishes.
Go to Start->All Programs->Cygwin-X->X Win Server (windows tool bar)
A xterm window should open. Type:
terminator
You should know have terminator with Cygwin.
Note: After I run terminator I get this error:
/usr/lib/python2.7/site-packages/terminatorlib/terminator.py:87: Warning: Attempt to add property GnomeProgram::sm-connect after class was initialised
self.gnome_program = gnome.init(APP_NAME, APP_VERSION)
/usr/lib/python2.7/site-packages/terminatorlib/terminator.py:87: Warning: Attempt to add property GnomeProgram::show-crash-dialog after class was initialised
self.gnome_program = gnome.init(APP_NAME, APP_VERSION)
/usr/lib/python2.7/site-packages/terminatorlib/terminator.py:87: Warning: Attempt to add property GnomeProgram::display after class was initialised
self.gnome_program = gnome.init(APP_NAME, APP_VERSION)
/usr/lib/python2.7/site-packages/terminatorlib/terminator.py:87: Warning: Attempt to add property GnomeProgram::default-icon after class was initialised
self.gnome_program = gnome.init(APP_NAME, APP_VERSION)
Warning: python-keybinder is not installed. This means the hide_window shortcut will be unavailable
Unable to bind hide_window key, another instance/window has it.
Segmentation fault (core dumped)
I've looking to fix this issue but sadly I couldn't find anything. If you use Cygwin x86 your outcome can be different.
Hope this can help you.