Why does the data type `intc` in numpy default to 32 bits? np intc is defined as an integer with the size of int in C in the compiler used to build the runtime In most modern compilers, even in 64-bit toolchains, int is defined to be 32 bits ( see here ) In your case you are using a 32-bit compilation of Python, the chances of a compiler producing 32-bit binaries having int defined as anything else
How to connect IRQ output of XPS INTC to Microblaze Interrupt input For interrupt control, I added XPS interrupt controller (v2 01a) to the system and connected my custom core's interrupt ports to INTC via master bus However, as I need to connect IRQ output of INTC to Interrupt input of Microblaze (v8 40), I cannot connect those two ports using Ports tab of System Assembly View, there is no connection option
Linux 4. 5 GPIO Interrupt Through Devicetree on Xilinx Zynq Platform I can use both intc and axi_gpio_0 as interrupt-parent and it maps to the same IRQ number (I see this from cat proc interrupts) So, ignoring the polarity of the signal, how do I make sure that my registered interrupt is triggered based on the toggling of axi_gpio_0 pin 2? EDIT 2:
. net - How to convert string to integer in C# - Stack Overflow bool result = Int32 TryParse(someString, out someNumeric) This method will try to convert someString into someNumeric, and return a result depending on whether or not the conversion is successful: true if conversion is successful and false if conversion failed
numpy - Python range with np. intc - Stack Overflow Background: The reason for using intc-datatype is that my program performs some other tasks like peakfinding etc and I use some list-comprehensions for generating a list out of the calculated peaks After some other steps, I use x1 and x2 out of this peak-list (which isn't a normal list of ints obviously)
getting an int object is not iterable error for a numpy The problem is in for m in clust_sum, clust_sum is an int and you can't iterate over an int object I don't know exactly what you want to do, but if you want to run your for loop the number of clust_sum times you can do like this: