tke | Native Kubernetes container management platform | Continuous Deployment library

I am trying to run this sql statement in access and found Syntax error

i'm new on a kotlin developpment, i'm working on a mobile App on android studio and i use kotlin as language. so i wanted to know what's the importence of gradle by using tke kotlin and android?

I tried to setup the Hyper Protect Crypto Services in IBM Cloud. After I provisioned an instance, setup the IBM CLI, I attempted to run some of the TKE commands from the getting started page. But when I run this command, it fails with: ibmcloud tke domains FAILED API endpoint not recognized when determining target URLs.

I have a larger piece of code that fits functions to data at its core. The data and the functions to be fitted are dynamic. Recently I appended an additional data point to the whole system and now curve_fit always returns the initial guess (or something too close to it), no matter how I chose it. This happens for very different y-values and x-values (ten sets of the former, two sets of the latter).

I know that choosing the starting values is important, but I never had trouble with using the default before (my functions are generally simple) and can revert to the state where it just works by uncommenting the new code that adds the additional data point. Now one would think that obviously the new code is the problem, but there are quite some steps between the new addition and actually feeding the data to curve_fit. I have already checked that the type of the input to curve_fit is the same: np.ndarray, just one element longer in the problematic case.

However, while creating a MWE, I noticed that it is only the exact x-array that leads to the problem. It goes away entirely when I copy the printed x-vector of the main program in my MWE instead of the internal representation. Hence I can only show the problem with an external file: local_z.npy [150kB]

The MWE:

I have a log file from a mathematical simulation. I tried to parse it in Python, but I am not quite satisfied with the result. Is there any "elegant" way to loop each line and sort it in order to keep only lines with physical values and ditch the rest?

The goal is to perform various analyses using numpy. Knowing that the lines I need only contain numerical values, is there a way to "tell" python to keep only rows / lines with numerical values and ditch all the rows containing string? Thank your for your help. A sample of the log file is attached.

I am trying to compile an .f95 fortran script so it can run on Ubuntu. The script is available here -> Link to zip file containing .f95 script

It compiles and runs fine when I switch over to Windows and compile using g95 compiler. The .exe file produced also runs fine in Ubuntu through wine.

However if I try to compile to make an Ubuntu file, it does not work properly. I don't get a compile error, but if I run the resultant file, either the program gets stuck in an infinite loop, or the output is all wrong. It's difficult for me to see where it is going wrong because I did not write the original code and only have a shaky understanding of Fortran, but it seems to be something to do with the numbers being calculated wrong leading to very large/small/inappropriately negative output (sorry to be so vague).

I am running 16.04 xenial ubuntu and gfortran 5.4.0.

Any help/thoughts appreciated this is driving me up the wall! Thanks

Code below for quick reference:

I have done a custom camera application in Xamarin Visual Studio, it takes the pictures with a very low resolution, so I added this piece of code.