simulation

问题 I am restarting some code for a covid simulation as I cant use the collide function in my current one. I have been able to draw the basic background, and draw one cell. However, when i try create the cell in a different place on my screen it does not appear for some reason. My code is as seen below: import random import pygame # import numpy import time pygame.init() GREEN1 = (0, 255, 0) # Healthy cells RED = (255, 0, 0) # Infected cells GREEN2 = (0, 100, 0) # Healthy cells not susecptible

问题 Rather than statically defining the resources (or resource pools) to be seized within the definition of a seize block, I would like the agent entering the seize block to be able to specify the resources that it requires. For example, I may have say 100 resource pools each one representing a different type of resource (like tools in a tool room). Each agent in my model needs a different combination and quantity of the resources (in my example this would be tools). When my agent enters the

问题 (Yes I know there's an easier way, yes my professor is asking for the long way.) The following is the code for my 1 bit adder/subtractor. library ieee; use ieee.std_logic_1164.all; entity FA1Bit is port(x,y,Cin: in std_logic; op: in std_logic; S, Cout: out std_logic); end FA1Bit; architecture FA1Bit_arch of FA1Bit is begin behavior : PROCESS(op,x,y,Cin) begin if op = '0' then --if we're adding the bits; if Cin = '0' then if x = y then S <= '0'; if (x= '1' and y = '1') then Cout <= '1'; else -

问题 I am trying to simulate 10 submodules. But omnet++ gives an error when the number of submodules are greater than five. here is the error: (omnetpp::cMessage)sampleEvent: par(int): Has no parameter #4 -- in module (Sam1) Net.sampler1[4] (id=6), during network initialization My .ned file simple Sam1 { parameters: @display("i=block/routing"); gates: inout gate[]; // declare two way connections } simple Svr1 { parameters: @display("i=block/process"); gates: inout gate[]; // declare two way

问题 Here is a short example code, which confused me. What is the rule to use values from the current or when from the previous simulation time-slot in verilog processes? module test(); reg clk, rst, r1, r2, r3; initial begin clk = 0; rst = 0; r1 = 0; r2 = 0; r3 = 0; @(posedge clk) rst = 1; end // initial always #5 begin : clkgen clk = ~clk; end /** TESTS **/ // PREVIOUS always @(posedge clk) begin : proc_non_block r1 = rst; end // CURRENT always @(posedge clk or posedge rst) begin : proc_async r2

问题 I have a simple game which is based on probabilities, every day we toss a coin and if we get heads then we win and we get $20 and if we toss the coin and we get tails then we lose $19, at the end of the month (28 days) we see how much we have lost or made. def coin_tossing_game(): random_numbers = [random.randint(0, 1) for x in range(500)] #generate 500 random numbers for x in random_numbers: if x == 0: #if we get heads return 20 #we win $20 elif x == 1: #if we get tails return -19 #we lose

问题 I've managed to create a number of routing nodes as described in this tutorial: https://inet.omnetpp.org/docs/tutorials/wireless/doc/step3.html They work as expected (forward packets in between nodes) but there's a problem in that these packets don't make it past the transport layer. Looking at Packet.h (inet): // // Implements the IPv4 protocol. The protocol header is represented // by the ~Ipv4Header message class. // // <b>Interfacing with higher layer protocols</b> // // To send a packet

问题 I am currently trying to replicate in python/pygame (from java, p5 from the coding train video: https://www.youtube.com/watch?v=BZUdGqeOD0w) the water ripple effect. I am unable to make it work, the screen stays blank (black: background color) or I gives me the error: Traceback (most recent call last): File "/Users/vicki/Documents/Atom Test/Water Ripple.py", line 39, in <module> screen.fill((current[i][j],current[i][j],current[i][j]),(i,j,1,1)) TypeError: invalid color argument which I

问题 i have about 20,000 rows of data like this,, Id | value 1 30 2 3 3 22 .. n 27 I did statistics to my data,, the average value 33.85, median 30.99, min 2.8, max 206, 95% confidence interval 0.21.. So most values around 33, and there are some outliers (a little).. So it seems like a distribution with long tail. I am new to both distribution and python,, i tried class fitter https://pypi.org/project/fitter/ to try many distribution from Scipy package,, and loglaplace distribution showed the

问题 i have about 20,000 rows of data like this,, Id | value 1 30 2 3 3 22 .. n 27 I did statistics to my data,, the average value 33.85, median 30.99, min 2.8, max 206, 95% confidence interval 0.21.. So most values around 33, and there are some outliers (a little).. So it seems like a distribution with long tail. I am new to both distribution and python,, i tried class fitter https://pypi.org/project/fitter/ to try many distribution from Scipy package,, and loglaplace distribution showed the