diff --git a/neat-mario/DP1.State b/neat-mario/DP1.State
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diff --git a/neat-mario/DP1.state.pool b/neat-mario/DP1.state.pool
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diff --git a/neat-mario/backup.0.DP1.state.pool b/neat-mario/backup.0.DP1.state.pool
new file mode 100644
index 0000000..0c0c4b2
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diff --git a/neat-mario/backup.3.DP1.state.pool b/neat-mario/backup.3.DP1.state.pool
new file mode 100644
index 0000000..b7faaf3
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diff --git a/neat-mario/backup.5.DP1.state.pool b/neat-mario/backup.5.DP1.state.pool
new file mode 100644
index 0000000..c7859b2
--- /dev/null
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new file mode 100644
index 0000000..d4230f5
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diff --git a/neat-mario/backup.8.DP1.state.pool b/neat-mario/backup.8.DP1.state.pool
new file mode 100644
index 0000000..fa73dff
--- /dev/null
+++ b/neat-mario/backup.8.DP1.state.pool
@@ -0,0 +1,10184 @@
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+125 1000002 -0.651367710275281 852 0
+114 1000008 1.56375596465718 853 1
+101 1000007 1.4281680041124 5342 1
+1000008 1000006 0.766962721369678 5343 1
diff --git a/neat-mario/config.lua b/neat-mario/config.lua
new file mode 100644
index 0000000..b3e926d
--- /dev/null
+++ b/neat-mario/config.lua
@@ -0,0 +1,39 @@
+local _M = {}
+
+_M.NeatConfig = {
+Filename = "DP1.state",
+Population = 300,
+DeltaDisjoint = 2.0,
+DeltaWeights = 0.4,
+DeltaThreshold = 1.0,
+StaleSpecies = 15,
+MutateConnectionsChance = 0.25,
+PerturbChance = 0.90,
+CrossoverChance = 0.75,
+LinkMutationChance = 2.0,
+NodeMutationChance = 0.50,
+BiasMutationChance = 0.40,
+StepSize = 0.1,
+DisableMutationChance = 0.4,
+EnableMutationChance = 0.2,
+TimeoutConstant = 20,
+MaxNodes = 1000000,
+}
+
+_M.ButtonNames = {
+		"A",
+		"B",
+		"X",
+		"Y",
+		"Up",
+		"Down",
+		"Left",
+		"Right",
+	}
+	
+_M.BoxRadius = 6
+_M.InputSize = (_M.BoxRadius*2+1)*(_M.BoxRadius*2+1)
+
+_M.Running = false
+
+return _M
\ No newline at end of file
diff --git a/neat-mario/game.lua b/neat-mario/game.lua
new file mode 100644
index 0000000..021ba79
--- /dev/null
+++ b/neat-mario/game.lua
@@ -0,0 +1,96 @@
+--Notes here
+config = require "config"
+local _M = {}
+function _M.getPositions()
+	marioX = memory.read_s16_le(0x94)
+	marioY = memory.read_s16_le(0x96)
+		
+	local layer1x = memory.read_s16_le(0x1A);
+	local layer1y = memory.read_s16_le(0x1C);
+		
+	screenX = marioX-layer1x
+	screenY = marioY-layer1y
+end
+
+function _M.getTile(dx, dy)
+	x = math.floor((marioX+dx+8)/16)
+	y = math.floor((marioY+dy)/16)
+		
+	return memory.readbyte(0x1C800 + math.floor(x/0x10)*0x1B0 + y*0x10 + x%0x10)
+end
+
+function _M.getSprites()
+	local sprites = {}
+	for slot=0,11 do
+		local status = memory.readbyte(0x14C8+slot)
+		if status ~= 0 then
+			spritex = memory.readbyte(0xE4+slot) + memory.readbyte(0x14E0+slot)*256
+			spritey = memory.readbyte(0xD8+slot) + memory.readbyte(0x14D4+slot)*256
+			sprites[#sprites+1] = {["x"]=spritex, ["y"]=spritey}
+		end
+	end		
+		
+	return sprites
+end
+
+function _M.getExtendedSprites()
+	local extended = {}
+	for slot=0,11 do
+		local number = memory.readbyte(0x170B+slot)
+		if number ~= 0 then
+			spritex = memory.readbyte(0x171F+slot) + memory.readbyte(0x1733+slot)*256
+			spritey = memory.readbyte(0x1715+slot) + memory.readbyte(0x1729+slot)*256
+			extended[#extended+1] = {["x"]=spritex, ["y"]=spritey}
+		end
+	end		
+		
+	return extended
+end
+
+function _M.getInputs()
+	_M.getPositions()
+	
+	sprites = _M.getSprites()
+	extended = _M.getExtendedSprites()
+	
+	local inputs = {}
+	
+	for dy=-config.BoxRadius*16,config.BoxRadius*16,16 do
+		for dx=-config.BoxRadius*16,config.BoxRadius*16,16 do
+			inputs[#inputs+1] = 0
+			
+			tile = _M.getTile(dx, dy)
+			if tile == 1 and marioY+dy < 0x1B0 then
+				inputs[#inputs] = 1
+			end
+			
+			for i = 1,#sprites do
+				distx = math.abs(sprites[i]["x"] - (marioX+dx))
+				disty = math.abs(sprites[i]["y"] - (marioY+dy))
+				if distx <= 8 and disty <= 8 then
+					inputs[#inputs] = -1
+				end
+			end
+
+			for i = 1,#extended do
+				distx = math.abs(extended[i]["x"] - (marioX+dx))
+				disty = math.abs(extended[i]["y"] - (marioY+dy))
+				if distx < 8 and disty < 8 then
+					inputs[#inputs] = -1
+				end
+			end
+		end
+	end
+	
+	return inputs
+end
+
+function _M.clearJoypad()
+	controller = {}
+	for b = 1,#config.ButtonNames do
+		controller["P1 " .. config.ButtonNames[b]] = false
+	end
+	joypad.set(controller)
+end
+
+return _M
\ No newline at end of file
diff --git a/neat-mario/mario-neat.lua b/neat-mario/mario-neat.lua
new file mode 100644
index 0000000..a93c0cd
--- /dev/null
+++ b/neat-mario/mario-neat.lua
@@ -0,0 +1,1101 @@
+--Update to Seth-Bling's MarI/O app
+
+config = require "config"
+game = require "game"
+mathFunctions = require "mathFunctions"
+
+Inputs = config.InputSize+1
+Outputs = #config.ButtonNames
+
+function newInnovation()
+	pool.innovation = pool.innovation + 1
+	return pool.innovation
+end
+
+function newPool()
+	local pool = {}
+	pool.species = {}
+	pool.generation = 0
+	pool.innovation = Outputs
+	pool.currentSpecies = 1
+	pool.currentGenome = 1
+	pool.currentFrame = 0
+	pool.maxFitness = 0
+	
+	return pool
+end
+
+function newSpecies()
+	local species = {}
+	species.topFitness = 0
+	species.staleness = 0
+	species.genomes = {}
+	species.averageFitness = 0
+	
+	return species
+end
+
+function newGenome()
+	local genome = {}
+	genome.genes = {}
+	genome.fitness = 0
+	genome.adjustedFitness = 0
+	genome.network = {}
+	genome.maxneuron = 0
+	genome.globalRank = 0
+	genome.mutationRates = {}
+	genome.mutationRates["connections"] = config.NeatConfig.MutateConnectionsChance
+	genome.mutationRates["link"] = config.NeatConfig.LinkMutationChance
+	genome.mutationRates["bias"] = config.NeatConfig.BiasMutationChance
+	genome.mutationRates["node"] = config.NeatConfig.NodeMutationChance
+	genome.mutationRates["enable"] = config.NeatConfig.EnableMutationChance
+	genome.mutationRates["disable"] = config.NeatConfig.DisableMutationChance
+	genome.mutationRates["step"] = config.NeatConfig.StepSize
+	
+	return genome
+end
+
+function copyGenome(genome)
+	local genome2 = newGenome()
+	for g=1,#genome.genes do
+		table.insert(genome2.genes, copyGene(genome.genes[g]))
+	end
+	genome2.maxneuron = genome.maxneuron
+	genome2.mutationRates["connections"] = genome.mutationRates["connections"]
+	genome2.mutationRates["link"] = genome.mutationRates["link"]
+	genome2.mutationRates["bias"] = genome.mutationRates["bias"]
+	genome2.mutationRates["node"] = genome.mutationRates["node"]
+	genome2.mutationRates["enable"] = genome.mutationRates["enable"]
+	genome2.mutationRates["disable"] = genome.mutationRates["disable"]
+	
+	return genome2
+end
+
+function basicGenome()
+	local genome = newGenome()
+	local innovation = 1
+
+	genome.maxneuron = Inputs
+	mutate(genome)
+	
+	return genome
+end
+
+function newGene()
+	local gene = {}
+	gene.into = 0
+	gene.out = 0
+	gene.weight = 0.0
+	gene.enabled = true
+	gene.innovation = 0
+	
+	return gene
+end
+
+function copyGene(gene)
+	local gene2 = newGene()
+	gene2.into = gene.into
+	gene2.out = gene.out
+	gene2.weight = gene.weight
+	gene2.enabled = gene.enabled
+	gene2.innovation = gene.innovation
+	
+	return gene2
+end
+
+function newNeuron()
+	local neuron = {}
+	neuron.incoming = {}
+	neuron.value = 0.0
+	
+	return neuron
+end
+
+function generateNetwork(genome)
+	local network = {}
+	network.neurons = {}
+	
+	for i=1,Inputs do
+		network.neurons[i] = newNeuron()
+	end
+	
+	for o=1,Outputs do
+		network.neurons[config.NeatConfig.MaxNodes+o] = newNeuron()
+	end
+	
+	table.sort(genome.genes, function (a,b)
+		return (a.out < b.out)
+	end)
+	for i=1,#genome.genes do
+		local gene = genome.genes[i]
+		if gene.enabled then
+			if network.neurons[gene.out] == nil then
+				network.neurons[gene.out] = newNeuron()
+			end
+			local neuron = network.neurons[gene.out]
+			table.insert(neuron.incoming, gene)
+			if network.neurons[gene.into] == nil then
+				network.neurons[gene.into] = newNeuron()
+			end
+		end
+	end
+	
+	genome.network = network
+end
+
+function evaluateNetwork(network, inputs)
+	table.insert(inputs, 1)
+	if #inputs ~= Inputs then
+		console.writeline("Incorrect number of neural network inputs.")
+		return {}
+	end
+	
+	for i=1,Inputs do
+		network.neurons[i].value = inputs[i]
+	end
+	
+	for _,neuron in pairs(network.neurons) do
+		local sum = 0
+		for j = 1,#neuron.incoming do
+			local incoming = neuron.incoming[j]
+			local other = network.neurons[incoming.into]
+			sum = sum + incoming.weight * other.value
+		end
+		
+		if #neuron.incoming > 0 then
+			neuron.value = mathFunctions.sigmoid(sum)
+		end
+	end
+	
+	local outputs = {}
+	for o=1,Outputs do
+		local button = "P1 " .. config.ButtonNames[o]
+		if network.neurons[config.NeatConfig.MaxNodes+o].value > 0 then
+			outputs[button] = true
+		else
+			outputs[button] = false
+		end
+	end
+	
+	return outputs
+end
+
+function crossover(g1, g2)
+	-- Make sure g1 is the higher fitness genome
+	if g2.fitness > g1.fitness then
+		tempg = g1
+		g1 = g2
+		g2 = tempg
+	end
+
+	local child = newGenome()
+	
+	local innovations2 = {}
+	for i=1,#g2.genes do
+		local gene = g2.genes[i]
+		innovations2[gene.innovation] = gene
+	end
+	
+	for i=1,#g1.genes do
+		local gene1 = g1.genes[i]
+		local gene2 = innovations2[gene1.innovation]
+		if gene2 ~= nil and math.random(2) == 1 and gene2.enabled then
+			table.insert(child.genes, copyGene(gene2))
+		else
+			table.insert(child.genes, copyGene(gene1))
+		end
+	end
+	
+	child.maxneuron = math.max(g1.maxneuron,g2.maxneuron)
+	
+	for mutation,rate in pairs(g1.mutationRates) do
+		child.mutationRates[mutation] = rate
+	end
+	
+	return child
+end
+
+function randomNeuron(genes, nonInput)
+	local neurons = {}
+	if not nonInput then
+		for i=1,Inputs do
+			neurons[i] = true
+		end
+	end
+	for o=1,Outputs do
+		neurons[config.NeatConfig.MaxNodes+o] = true
+	end
+	for i=1,#genes do
+		if (not nonInput) or genes[i].into > Inputs then
+			neurons[genes[i].into] = true
+		end
+		if (not nonInput) or genes[i].out > Inputs then
+			neurons[genes[i].out] = true
+		end
+	end
+
+	local count = 0
+	for _,_ in pairs(neurons) do
+		count = count + 1
+	end
+	local n = math.random(1, count)
+	
+	for k,v in pairs(neurons) do
+		n = n-1
+		if n == 0 then
+			return k
+		end
+	end
+	
+	return 0
+end
+
+function containsLink(genes, link)
+	for i=1,#genes do
+		local gene = genes[i]
+		if gene.into == link.into and gene.out == link.out then
+			return true
+		end
+	end
+end
+
+function pointMutate(genome)
+	local step = genome.mutationRates["step"]
+	
+	for i=1,#genome.genes do
+		local gene = genome.genes[i]
+		if math.random() < config.NeatConfig.PerturbChance then
+			gene.weight = gene.weight + math.random() * step*2 - step
+		else
+			gene.weight = math.random()*4-2
+		end
+	end
+end
+
+function linkMutate(genome, forceBias)
+	local neuron1 = randomNeuron(genome.genes, false)
+	local neuron2 = randomNeuron(genome.genes, true)
+	 
+	local newLink = newGene()
+	if neuron1 <= Inputs and neuron2 <= Inputs then
+		--Both input nodes
+		return
+	end
+	if neuron2 <= Inputs then
+		-- Swap output and input
+		local temp = neuron1
+		neuron1 = neuron2
+		neuron2 = temp
+	end
+
+	newLink.into = neuron1
+	newLink.out = neuron2
+	if forceBias then
+		newLink.into = Inputs
+	end
+	
+	if containsLink(genome.genes, newLink) then
+		return
+	end
+	newLink.innovation = newInnovation()
+	newLink.weight = math.random()*4-2
+	
+	table.insert(genome.genes, newLink)
+end
+
+function nodeMutate(genome)
+	if #genome.genes == 0 then
+		return
+	end
+
+	genome.maxneuron = genome.maxneuron + 1
+
+	local gene = genome.genes[math.random(1,#genome.genes)]
+	if not gene.enabled then
+		return
+	end
+	gene.enabled = false
+	
+	local gene1 = copyGene(gene)
+	gene1.out = genome.maxneuron
+	gene1.weight = 1.0
+	gene1.innovation = newInnovation()
+	gene1.enabled = true
+	table.insert(genome.genes, gene1)
+	
+	local gene2 = copyGene(gene)
+	gene2.into = genome.maxneuron
+	gene2.innovation = newInnovation()
+	gene2.enabled = true
+	table.insert(genome.genes, gene2)
+end
+
+function enableDisableMutate(genome, enable)
+	local candidates = {}
+	for _,gene in pairs(genome.genes) do
+		if gene.enabled == not enable then
+			table.insert(candidates, gene)
+		end
+	end
+	
+	if #candidates == 0 then
+		return
+	end
+	
+	local gene = candidates[math.random(1,#candidates)]
+	gene.enabled = not gene.enabled
+end
+
+function mutate(genome)
+	for mutation,rate in pairs(genome.mutationRates) do
+		if math.random(1,2) == 1 then
+			genome.mutationRates[mutation] = 0.95*rate
+		else
+			genome.mutationRates[mutation] = 1.05263*rate
+		end
+	end
+
+	if math.random() < genome.mutationRates["connections"] then
+		pointMutate(genome)
+	end
+	
+	local p = genome.mutationRates["link"]
+	while p > 0 do
+		if math.random() < p then
+			linkMutate(genome, false)
+		end
+		p = p - 1
+	end
+
+	p = genome.mutationRates["bias"]
+	while p > 0 do
+		if math.random() < p then
+			linkMutate(genome, true)
+		end
+		p = p - 1
+	end
+	
+	p = genome.mutationRates["node"]
+	while p > 0 do
+		if math.random() < p then
+			nodeMutate(genome)
+		end
+		p = p - 1
+	end
+	
+	p = genome.mutationRates["enable"]
+	while p > 0 do
+		if math.random() < p then
+			enableDisableMutate(genome, true)
+		end
+		p = p - 1
+	end
+
+	p = genome.mutationRates["disable"]
+	while p > 0 do
+		if math.random() < p then
+			enableDisableMutate(genome, false)
+		end
+		p = p - 1
+	end
+end
+
+function disjoint(genes1, genes2)
+	local i1 = {}
+	for i = 1,#genes1 do
+		local gene = genes1[i]
+		i1[gene.innovation] = true
+	end
+
+	local i2 = {}
+	for i = 1,#genes2 do
+		local gene = genes2[i]
+		i2[gene.innovation] = true
+	end
+	
+	local disjointGenes = 0
+	for i = 1,#genes1 do
+		local gene = genes1[i]
+		if not i2[gene.innovation] then
+			disjointGenes = disjointGenes+1
+		end
+	end
+	
+	for i = 1,#genes2 do
+		local gene = genes2[i]
+		if not i1[gene.innovation] then
+			disjointGenes = disjointGenes+1
+		end
+	end
+	
+	local n = math.max(#genes1, #genes2)
+	
+	return disjointGenes / n
+end
+
+function weights(genes1, genes2)
+	local i2 = {}
+	for i = 1,#genes2 do
+		local gene = genes2[i]
+		i2[gene.innovation] = gene
+	end
+
+	local sum = 0
+	local coincident = 0
+	for i = 1,#genes1 do
+		local gene = genes1[i]
+		if i2[gene.innovation] ~= nil then
+			local gene2 = i2[gene.innovation]
+			sum = sum + math.abs(gene.weight - gene2.weight)
+			coincident = coincident + 1
+		end
+	end
+	
+	return sum / coincident
+end
+	
+function sameSpecies(genome1, genome2)
+	local dd = config.NeatConfig.DeltaDisjoint*disjoint(genome1.genes, genome2.genes)
+	local dw = config.NeatConfig.DeltaWeights*weights(genome1.genes, genome2.genes) 
+	return dd + dw < config.NeatConfig.DeltaThreshold
+end
+
+function rankGlobally()
+	local global = {}
+	for s = 1,#pool.species do
+		local species = pool.species[s]
+		for g = 1,#species.genomes do
+			table.insert(global, species.genomes[g])
+		end
+	end
+	table.sort(global, function (a,b)
+		return (a.fitness < b.fitness)
+	end)
+	
+	for g=1,#global do
+		global[g].globalRank = g
+	end
+end
+
+function calculateAverageFitness(species)
+	local total = 0
+	
+	for g=1,#species.genomes do
+		local genome = species.genomes[g]
+		total = total + genome.globalRank
+	end
+	
+	species.averageFitness = total / #species.genomes
+end
+
+function totalAverageFitness()
+	local total = 0
+	for s = 1,#pool.species do
+		local species = pool.species[s]
+		total = total + species.averageFitness
+	end
+
+	return total
+end
+
+function cullSpecies(cutToOne)
+	for s = 1,#pool.species do
+		local species = pool.species[s]
+		
+		table.sort(species.genomes, function (a,b)
+			return (a.fitness > b.fitness)
+		end)
+		
+		local remaining = math.ceil(#species.genomes/2)
+		if cutToOne then
+			remaining = 1
+		end
+		while #species.genomes > remaining do
+			table.remove(species.genomes)
+		end
+	end
+end
+
+function breedChild(species)
+	local child = {}
+	if math.random() < config.NeatConfig.CrossoverChance then
+		g1 = species.genomes[math.random(1, #species.genomes)]
+		g2 = species.genomes[math.random(1, #species.genomes)]
+		child = crossover(g1, g2)
+	else
+		g = species.genomes[math.random(1, #species.genomes)]
+		child = copyGenome(g)
+	end
+	
+	mutate(child)
+	
+	return child
+end
+
+function removeStaleSpecies()
+	local survived = {}
+
+	for s = 1,#pool.species do
+		local species = pool.species[s]
+		
+		table.sort(species.genomes, function (a,b)
+			return (a.fitness > b.fitness)
+		end)
+		
+		if species.genomes[1].fitness > species.topFitness then
+			species.topFitness = species.genomes[1].fitness
+			species.staleness = 0
+		else
+			species.staleness = species.staleness + 1
+		end
+		if species.staleness < config.NeatConfig.StaleSpecies or species.topFitness >= pool.maxFitness then
+			table.insert(survived, species)
+		end
+	end
+
+	pool.species = survived
+end
+
+function removeWeakSpecies()
+	local survived = {}
+
+	local sum = totalAverageFitness()
+	for s = 1,#pool.species do
+		local species = pool.species[s]
+		breed = math.floor(species.averageFitness / sum * config.NeatConfig.Population)
+		if breed >= 1 then
+			table.insert(survived, species)
+		end
+	end
+
+	pool.species = survived
+end
+
+
+function addToSpecies(child)
+	local foundSpecies = false
+	for s=1,#pool.species do
+		local species = pool.species[s]
+		if not foundSpecies and sameSpecies(child, species.genomes[1]) then
+			table.insert(species.genomes, child)
+			foundSpecies = true
+		end
+	end
+	
+	if not foundSpecies then
+		local childSpecies = newSpecies()
+		table.insert(childSpecies.genomes, child)
+		table.insert(pool.species, childSpecies)
+	end
+end
+
+function newGeneration()
+	cullSpecies(false) -- Cull the bottom half of each species
+	rankGlobally()
+	removeStaleSpecies()
+	rankGlobally()
+	for s = 1,#pool.species do
+		local species = pool.species[s]
+		calculateAverageFitness(species)
+	end
+	removeWeakSpecies()
+	local sum = totalAverageFitness()
+	local children = {}
+	for s = 1,#pool.species do
+		local species = pool.species[s]
+		breed = math.floor(species.averageFitness / sum * config.NeatConfig.Population) - 1
+		for i=1,breed do
+			table.insert(children, breedChild(species))
+		end
+	end
+	cullSpecies(true) -- Cull all but the top member of each species
+	while #children + #pool.species < config.NeatConfig.Population do
+		local species = pool.species[math.random(1, #pool.species)]
+		table.insert(children, breedChild(species))
+	end
+	for c=1,#children do
+		local child = children[c]
+		addToSpecies(child)
+	end
+	
+	pool.generation = pool.generation + 1
+	
+	writeFile("backup." .. pool.generation .. "." .. forms.gettext(saveLoadFile))
+end
+	
+function initializePool()
+	pool = newPool()
+
+	for i=1,config.NeatConfig.Population do
+		basic = basicGenome()
+		addToSpecies(basic)
+	end
+
+	initializeRun()
+end
+
+function initializeRun()
+	savestate.load(config.NeatConfig.Filename);
+	rightmost = 0
+	pool.currentFrame = 0
+	timeout = config.NeatConfig.TimeoutConstant
+	game.clearJoypad()
+	
+	local species = pool.species[pool.currentSpecies]
+	local genome = species.genomes[pool.currentGenome]
+	generateNetwork(genome)
+	evaluateCurrent()
+end
+
+function evaluateCurrent()
+	local species = pool.species[pool.currentSpecies]
+	local genome = species.genomes[pool.currentGenome]
+
+	inputs = game.getInputs()
+	controller = evaluateNetwork(genome.network, inputs)
+	
+	if controller["P1 Left"] and controller["P1 Right"] then
+		controller["P1 Left"] = false
+		controller["P1 Right"] = false
+	end
+	if controller["P1 Up"] and controller["P1 Down"] then
+		controller["P1 Up"] = false
+		controller["P1 Down"] = false
+	end
+
+	joypad.set(controller)
+end
+
+if pool == nil then
+	initializePool()
+end
+
+
+function nextGenome()
+	pool.currentGenome = pool.currentGenome + 1
+	if pool.currentGenome > #pool.species[pool.currentSpecies].genomes then
+		pool.currentGenome = 1
+		pool.currentSpecies = pool.currentSpecies+1
+		if pool.currentSpecies > #pool.species then
+			newGeneration()
+			pool.currentSpecies = 1
+		end
+	end
+end
+
+function fitnessAlreadyMeasured()
+	local species = pool.species[pool.currentSpecies]
+	local genome = species.genomes[pool.currentGenome]
+	
+	return genome.fitness ~= 0
+end
+
+form = forms.newform(500, 500, "Mario-Neat")
+netPicture = forms.pictureBox(form, 5, 250,470, 200)
+
+
+--int forms.pictureBox(int formhandle, [int? x = null], [int? y = null], [int? width = null], [int? height = null]) 
+
+function displayGenome(genome)
+	forms.clear(netPicture,0x80808080)
+	local network = genome.network
+	local cells = {}
+	local i = 1
+	local cell = {}
+	for dy=-config.BoxRadius,config.BoxRadius do
+		for dx=-config.BoxRadius,config.BoxRadius do
+			cell = {}
+			cell.x = 50+5*dx
+			cell.y = 70+5*dy
+			cell.value = network.neurons[i].value
+			cells[i] = cell
+			i = i + 1
+		end
+	end
+	local biasCell = {}
+	biasCell.x = 80
+	biasCell.y = 110
+	biasCell.value = network.neurons[Inputs].value
+	cells[Inputs] = biasCell
+	
+	for o = 1,Outputs do
+		cell = {}
+		cell.x = 220
+		cell.y = 30 + 8 * o
+		cell.value = network.neurons[config.NeatConfig.MaxNodes + o].value
+		cells[config.NeatConfig.MaxNodes+o] = cell
+		local color
+		if cell.value > 0 then
+			color = 0xFF0000FF
+		else
+			color = 0xFF000000
+		end
+		--gui.drawText(223, 24+8*o, config.ButtonNames[o], color, 9)
+		forms.drawText(netPicture,223, 24+8*o, config.ButtonNames[o], color, 9)
+	end
+	
+	for n,neuron in pairs(network.neurons) do
+		cell = {}
+		if n > Inputs and n <= config.NeatConfig.MaxNodes then
+			cell.x = 140
+			cell.y = 40
+			cell.value = neuron.value
+			cells[n] = cell
+		end
+	end
+	
+	for n=1,4 do
+		for _,gene in pairs(genome.genes) do
+			if gene.enabled then
+				local c1 = cells[gene.into]
+				local c2 = cells[gene.out]
+				if gene.into > Inputs and gene.into <= config.NeatConfig.MaxNodes then
+					c1.x = 0.75*c1.x + 0.25*c2.x
+					if c1.x >= c2.x then
+						c1.x = c1.x - 40
+					end
+					if c1.x < 90 then
+						c1.x = 90
+					end
+					
+					if c1.x > 220 then
+						c1.x = 220
+					end
+					c1.y = 0.75*c1.y + 0.25*c2.y
+					
+				end
+				if gene.out > Inputs and gene.out <= config.NeatConfig.MaxNodes then
+					c2.x = 0.25*c1.x + 0.75*c2.x
+					if c1.x >= c2.x then
+						c2.x = c2.x + 40
+					end
+					if c2.x < 90 then
+						c2.x = 90
+					end
+					if c2.x > 220 then
+						c2.x = 220
+					end
+					c2.y = 0.25*c1.y + 0.75*c2.y
+				end
+			end
+		end
+	end
+	
+	--gui.drawBox(50-config.BoxRadius*5-3,70-config.BoxRadius*5-3,50+config.BoxRadius*5+2,70+config.BoxRadius*5+2,0xFF000000, 0x80808080)
+	forms.drawBox(netPicture, 50-config.BoxRadius*5-3,70-config.BoxRadius*5-3,50+config.BoxRadius*5+2,70+config.BoxRadius*5+2,0xFF000000, 0x80808080)
+	--oid forms.drawBox(int componenthandle, int x, int y, int x2, int y2, [color? line = null], [color? background = null]) 
+	for n,cell in pairs(cells) do
+		if n > Inputs or cell.value ~= 0 then
+			local color = math.floor((cell.value+1)/2*256)
+			if color > 255 then color = 255 end
+			if color < 0 then color = 0 end
+			local opacity = 0xFF000000
+			if cell.value == 0 then
+				opacity = 0x50000000
+			end
+			color = opacity + color*0x10000 + color*0x100 + color
+			forms.drawBox(netPicture,cell.x-2,cell.y-2,cell.x+2,cell.y+2,opacity,color)
+			--gui.drawBox(cell.x-2,cell.y-2,cell.x+2,cell.y+2,opacity,color)
+		end
+	end
+	for _,gene in pairs(genome.genes) do
+		if gene.enabled then
+			local c1 = cells[gene.into]
+			local c2 = cells[gene.out]
+			local opacity = 0xA0000000
+			if c1.value == 0 then
+				opacity = 0x20000000
+			end
+			
+			local color = 0x80-math.floor(math.abs(mathFunctions.sigmoid(gene.weight))*0x80)
+			if gene.weight > 0 then 
+				color = opacity + 0x8000 + 0x10000*color
+			else
+				color = opacity + 0x800000 + 0x100*color
+			end
+			--gui.drawLine(c1.x+1, c1.y, c2.x-3, c2.y, color)
+			forms.drawLine(netPicture,c1.x+1, c1.y, c2.x-3, c2.y, color)
+		end
+	end
+	
+	--gui.drawBox(49,71,51,78,0x00000000,0x80FF0000)
+	forms.drawBox(netPicture, 49,71,51,78,0x00000000,0x80FF0000)
+	--if forms.ischecked(showMutationRates) then
+		local pos = 100
+		for mutation,rate in pairs(genome.mutationRates) do
+			--gui.drawText(100, pos, mutation .. ": " .. rate, 0xFF000000, 10)
+			forms.drawText(netPicture,100, pos, mutation .. ": " .. rate, 0xFF000000, 10)
+			--forms.drawText(pictureBox,400,pos, mutation .. ": " .. rate)
+			
+			--void forms.drawText(int componenthandle, int x, int y, string message, [color? forecolor = null], [color? backcolor = null], [int? fontsize = null], [string fontfamily = null], [string fontstyle = null], [string horizalign = null], [string vertalign = null]) 
+
+			pos = pos + 8
+		end
+	--end
+	forms.refresh(netPicture)
+end
+
+function writeFile(filename)
+        local file = io.open(filename, "w")
+        file:write(pool.generation .. "\n")
+        file:write(pool.maxFitness .. "\n")
+        file:write(#pool.species .. "\n")
+        for n,species in pairs(pool.species) do
+                file:write(species.topFitness .. "\n")
+                file:write(species.staleness .. "\n")
+                file:write(#species.genomes .. "\n")
+                for m,genome in pairs(species.genomes) do
+                        file:write(genome.fitness .. "\n")
+                        file:write(genome.maxneuron .. "\n")
+                        for mutation,rate in pairs(genome.mutationRates) do
+                                file:write(mutation .. "\n")
+                                file:write(rate .. "\n")
+                        end
+                        file:write("done\n")
+                        
+                        file:write(#genome.genes .. "\n")
+                        for l,gene in pairs(genome.genes) do
+                                file:write(gene.into .. " ")
+                                file:write(gene.out .. " ")
+                                file:write(gene.weight .. " ")
+                                file:write(gene.innovation .. " ")
+                                if(gene.enabled) then
+                                        file:write("1\n")
+                                else
+                                        file:write("0\n")
+                                end
+                        end
+                end
+        end
+        file:close()
+end
+
+function savePool()
+	local filename = forms.gettext(saveLoadFile)
+	print(filename)
+	writeFile(filename)
+end
+
+function mysplit(inputstr, sep)
+        if sep == nil then
+                sep = "%s"
+        end
+        local t={} ; i=1
+        for str in string.gmatch(inputstr, "([^"..sep.."]+)") do
+                t[i] = str
+                i = i + 1
+        end
+        return t
+end
+
+function loadFile(filename)
+		print("Loading pool from " .. filename)
+        local file = io.open(filename, "r")
+        pool = newPool()
+        pool.generation = file:read("*number")
+        pool.maxFitness = file:read("*number")
+        forms.settext(maxFitnessLabel, "Max Fitness: " .. math.floor(pool.maxFitness))
+        local numSpecies = file:read("*number")
+        for s=1,numSpecies do
+                local species = newSpecies()
+                table.insert(pool.species, species)
+                species.topFitness = file:read("*number")
+                species.staleness = file:read("*number")
+                local numGenomes = file:read("*number")
+                for g=1,numGenomes do
+                        local genome = newGenome()
+                        table.insert(species.genomes, genome)
+                        genome.fitness = file:read("*number")
+                        genome.maxneuron = file:read("*number")
+                        local line = file:read("*line")
+                        while line ~= "done" do
+
+                                genome.mutationRates[line] = file:read("*number")
+                                line = file:read("*line")
+                        end
+                        local numGenes = file:read("*number")
+                        for n=1,numGenes do
+
+                                local gene = newGene()
+                                local enabled
+								
+								local geneStr = file:read("*line")
+								local geneArr = mysplit(geneStr)
+								gene.into = tonumber(geneArr[1])
+								gene.out = tonumber(geneArr[2])
+								gene.weight = tonumber(geneArr[3])
+								gene.innovation = tonumber(geneArr[4])
+								enabled = tonumber(geneArr[5])
+
+
+                                if enabled == 0 then
+                                        gene.enabled = false
+                                else
+                                        gene.enabled = true
+                                end
+                                
+								table.insert(genome.genes, gene)
+                        end
+                end
+        end
+        file:close()
+        
+        while fitnessAlreadyMeasured() do
+                nextGenome()
+        end
+        initializeRun()
+        pool.currentFrame = pool.currentFrame + 1
+		print("Pool loaded.")
+end
+
+function flipState()
+	if config.Running == true then
+		config.Running = false
+		forms.settext(startButton, "Start")
+	else
+		config.Running = true
+		forms.settext(startButton, "Stop")
+	end
+end
+ 
+function loadPool()
+	--filename = forms.openfile("DP1.state.pool","C:\Users\mmill\Downloads\BizHawk-2.2\Lua\SNES\neat-mario") 
+	local filename = forms.gettext(saveLoadFile)
+	loadFile(filename)
+end
+
+function playTop()
+	local maxfitness = 0
+	local maxs, maxg
+	for s,species in pairs(pool.species) do
+		for g,genome in pairs(species.genomes) do
+			if genome.fitness > maxfitness then
+				maxfitness = genome.fitness
+				maxs = s
+				maxg = g
+			end
+		end
+	end
+	
+	pool.currentSpecies = maxs
+	pool.currentGenome = maxg
+	pool.maxFitness = maxfitness
+	forms.settext(maxFitnessLabel, "Max Fitness: " .. math.floor(pool.maxFitness))
+	initializeRun()
+	pool.currentFrame = pool.currentFrame + 1
+	return
+end
+
+function onExit()
+	forms.destroy(form)
+end
+
+writeFile("temp.pool")
+
+event.onexit(onExit)
+
+GenerationLabel = forms.label(form, "Generation: " .. pool.generation, 5, 5)
+SpeciesLabel = forms.label(form, "Species: " .. pool.currentSpecies, 130, 5)
+GenomeLabel = forms.label(form, "Genome: " .. pool.currentGenome, 230, 5)
+
+FitnessLabel = forms.label(form, "Fitness: " .. "", 5, 30)
+maxFitnessLabel = forms.label(form, "Max Fitness: " , 130, 30)
+
+startButton = forms.button(form, "Start", flipState, 155, 102)
+
+restartButton = forms.button(form, "Restart", initializePool, 155, 102)
+saveButton = forms.button(form, "Save", savePool, 5, 102)
+loadButton = forms.button(form, "Load", loadPool, 80, 102)
+playTopButton = forms.button(form, "Play Top", playTop, 230, 102)
+
+saveLoadFile = forms.textbox(form, config.NeatConfig.Filename .. ".pool", 170, 25, nil, 5, 148)
+saveLoadLabel = forms.label(form, "Save/Load:", 5, 129)
+
+hideBanner = forms.checkbox(form, "Hide Banner", 5, 190)
+
+
+while true do
+	local backgroundColor = 0xD0FFFFFF
+	if not forms.ischecked(hideBanner) then
+		gui.drawBox(0, 0, 300, 26, backgroundColor, backgroundColor)
+	end
+	
+	if config.Running == true then
+
+	local species = pool.species[pool.currentSpecies]
+	local genome = species.genomes[pool.currentGenome]
+	
+	--if forms.ischecked(showNetwork) then
+		displayGenome(genome)
+	--end
+	
+	if pool.currentFrame%5 == 0 then
+		evaluateCurrent()
+	end
+
+	joypad.set(controller)
+
+	game.getPositions()
+	if marioX > rightmost then
+		rightmost = marioX
+		timeout = config.NeatConfig.TimeoutConstant
+	end
+	
+	timeout = timeout - 1
+	
+	
+	local timeoutBonus = pool.currentFrame / 4
+	if timeout + timeoutBonus <= 0 then
+		local fitness = rightmost - pool.currentFrame / 2
+		if rightmost > 4816 then
+			fitness = fitness + 1000
+		end
+		if fitness == 0 then
+			fitness = -1
+		end
+		genome.fitness = fitness
+		
+		if fitness > pool.maxFitness then
+			pool.maxFitness = fitness
+			writeFile("backup." .. pool.generation .. "." .. forms.gettext(saveLoadFile))
+		end
+		
+		console.writeline("Gen " .. pool.generation .. " species " .. pool.currentSpecies .. " genome " .. pool.currentGenome .. " fitness: " .. fitness)
+		
+		pool.currentSpecies = 1
+		pool.currentGenome = 1
+		while fitnessAlreadyMeasured() do
+			nextGenome()
+		end
+		initializeRun()
+	end
+
+	local measured = 0
+	local total = 0
+	for _,species in pairs(pool.species) do
+		for _,genome in pairs(species.genomes) do
+			total = total + 1
+			if genome.fitness ~= 0 then
+				measured = measured + 1
+			end
+		end
+	end
+	if not forms.ischecked(hideBanner) then
+		gui.drawText(0, 0, "Gen " .. pool.generation .. " species " .. pool.currentSpecies .. " genome " .. pool.currentGenome .. " (" .. math.floor(measured/total*100) .. "%)", 0xFF000000, 11)
+		gui.drawText(0, 12, "Fitness: " .. math.floor(rightmost - (pool.currentFrame) / 2 - (timeout + timeoutBonus)*2/3), 0xFF000000, 11)
+		gui.drawText(100, 12, "Max Fitness: " .. math.floor(pool.maxFitness), 0xFF000000, 11)
+		forms.settext(maxFitnessLabel, "Max Fitness: " .. math.floor(pool.maxFitness))
+	end
+	
+	forms.settext(FitnessLabel, "Fitness: " .. math.floor(rightmost - (pool.currentFrame) / 2 - (timeout + timeoutBonus)*2/3))
+	forms.settext(maxFitnessLabel, "Max Fitness: " .. math.floor(pool.maxFitness))
+	forms.settext(GenerationLabel, "Generation: " .. pool.generation)
+	forms.settext(SpeciesLabel, "Species: " .. pool.currentSpecies)
+	forms.settext(GenomeLabel, "Genome: " .. pool.currentGenome)
+		
+	pool.currentFrame = pool.currentFrame + 1
+	
+	end
+	emu.frameadvance();
+	
+end
\ No newline at end of file
diff --git a/neat-mario/mathFunctions.lua b/neat-mario/mathFunctions.lua
new file mode 100644
index 0000000..554cc4e
--- /dev/null
+++ b/neat-mario/mathFunctions.lua
@@ -0,0 +1,9 @@
+--Notes here
+
+local _M = {}
+
+function _M.sigmoid(x)
+	return 2/(1+math.exp(-4.9*x))-1
+end
+
+return _M
\ No newline at end of file
diff --git a/neat-mario/temp.pool b/neat-mario/temp.pool
new file mode 100644
index 0000000..006ee55
--- /dev/null
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