swy | educational research programming language | Natural Language Processing library
kandi X-RAY | swy Summary
kandi X-RAY | swy Summary
A compiler for my educational research programming language that supports homogeneous metaprogramming
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QUESTION
My aim is to download stock prices using the quantmod library for a large number of ticker symbols (~700) and merge the results in a single dataframe which I will save as a csv file. I have a list of ticker symbols but not all of them are downloadable by quantmod.
So when I pass the list with the ticker symbols to the getSymbols() method, once it encounters a problem with a particular ticker symbol it stops and returns an exception. I am trying to circumvent this behavior with a for loop and the try method, but I fail.
Let's look at some code:
When I try to download two ticker symbols that are downloadable and then merge them into one xts object I succeed:
...ANSWER
Answered 2019-Apr-18 at 08:59Here is a code I tried. It seems working (although I tried only a subset of the vector):
QUESTION
I am having a problem with the following code. In the global kernel, loop_d, M has an integer value of 84. When I try to create a shared array, temp, and use M as the size of the array, I get the following error:
error: expression must have a constant value
I am not sure why that is. I know that if I declare M as a global variable, then it works, but the problem is that I get the value of M by calling the function d_two in a different Fortran program, so I am not sure how to get around that. I know that if I replace temp[M] with temp[84], then my program runs perfectly, but that is not very practical, since different problems might have different values of M. Thank you for your help!
The program
...ANSWER
Answered 2017-Jun-29 at 19:19The compiler needs M
to be a compile-time constant. At compile time it cannot determine what M
is actually going to be (it doesn't know you will just pass it 84 eventually).
When you want to use shared memory of size you only know at runtime, you use dynamic shared memory.
See this example here on the site or Using Shared Memory in CUDA on the Parallel4All blog.
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