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For 2023 (and 2024 ...) - we are now fully retired from IT training.
We have made many, many friends over 25 years of teaching about Python, Tcl, Perl, PHP, Lua, Java, C and C++ - and MySQL, Linux and Solaris/SunOS too. Our training notes are now very much out of date, but due to upward compatability most of our examples remain operational and even relevant ad you are welcome to make us if them "as seen" and at your own risk.

Lisa and I (Graham) now live in what was our training centre in Melksham - happy to meet with former delegates here - but do check ahead before coming round. We are far from inactive - rather, enjoying the times that we are retired but still healthy enough in mind and body to be active!

I am also active in many other area and still look after a lot of web sites - you can find an index ((here))
Main program - town simulation exercise
this example from a Well House Consultants training course
More on this [link]

This example is described in the following article(s):
   • New Lua Examples - for last weeks delegates - [link]
   • For Lua Programmers AND for Town Planners - [link]

Source code: town_simulation Module: U050
--[[

This program was set as an exersize by Graham Ellis on
a Lua training course in Mexico (I run them worldwide -
contact graham@wellho.net for details)

Principles shown include the reading in of simulation /
game elements from a data file (and cleaning that data)
into several different types of 'object' (table in lua)
so that the simulation can be run with different towns
acting in a different manner, and yet with no horrid
series of if ... elseif ... elseif ... else blocks - i.e.
we're using polymorphism well.

Error checking, version control, better comments, variable
naming conventions all need further consideration, but
this is just a demonstration!

Sample data line from data file:
Chippenham 28000 growth 4 150000
]]


-- town.lua contains the definition of all types of town
-- (not like Java where it must be one class per file)

require ("towns")

fh,err = io.open("town_sim.txt")
towns = {}

-- Read the starting data into a table of towns

while true do
        line = fh:read()
        if not line then break end

        -- Strip comments off the end of each line
        line = string.gsub(line,"#.*","")

        -- If there's anything left in the line ...
        if string.match(line,"%S") then

                -- this could usefully be a separate function.
                -- that function should probably be in a separate
                -- file for re-use later
                line = string.gsub(line,"^%s*","")
                place, pop, rss_type, tph, houseprice =
                        string.match(line ,"(.-)\t+(.-)\t+(.-)\t+(.-)\t+(.*)")
                if rss_type == "growth" then
                        current = growth.new(place,pop,tph, houseprice)
                elseif rss_type == "stable" then
                        current = stable.new(place,pop,tph, houseprice)
                else
                        -- DON'T throw away error lines - flag them!
                        io.write ("Data error")
                        current = nil
                end
                if current then
                        towns[#towns+1] = current
                end
        end
end

--------- Data has been read in

--------- Initialise tables for simulation results and
--------- display initial data

changes = {}
prices = {}
for _,v in pairs(towns) do
        print (" ",v)
        -- Save initial values as start or result sets
        changes[v.place] = {v.pop}
        prices[v.place] = {v.houseprice}
        end

---------- Run simulation

-- 20 steps of 1 year

for k = 1, 20 do
        -- print ("Running forward ".. k .. " years")
        totfact = 0

        -- get factor total (for distribution of newcomers)

        for _,v in pairs(towns) do
                fftt = v:getfact()
                totfact = totfact + fftt
                end

        for _,v in pairs(towns) do
                fftt = v:getfact()
                incoming = v.pop

                -- Add newcomers in proportion to factor
                v:addpeeps(6000 * fftt / totfact)

                -- A certain percentage will move away
                v:wastage()
                outgoing = v.pop

                -- House prices change based on supply and demand
                v:change_house_prices(incoming, outgoing)

                -- Save the new values every fourth year
                if k % 4 == 0 then
                        changes[v.place][#changes[v.place]+1] = v.pop
                        prices[v.place][#prices[v.place]+1] = v.houseprice
                end
        end

        --[[ Commented out - dump the data annually
        for _,v in pairs(towns) do
                print (" ",v)
                end
        ]]

end

----------- Display result tables

io.write("\nProgression of population every 4 years\n")
for k,v in pairs(changes) do
        io.write(string.format("%-15s",k))
        for k9,v9 in pairs(v) do
                io.write(string.format("%6d",v9))
        end
        io.write("\n")
end

io.write("\nProgression of house prices every 4 years\n")

for k,v in pairs(prices) do
        io.write(string.format("%-15s",k))
        for k9,v9 in pairs(v) do
                io.write(string.format("%7d",v9))
        end
        io.write("\n")
end
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