Functions — github.com/MichaelJWelsh/bot-evolution

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Functions26 in github.com/MichaelJWelsh/bot-evolution

⨍ Functions 26 ◇ Types & classes 6

↓ 4 callersMethodupdate

Updates the bot's internals. "Hunger" can be thought of as a score between '-1' and '1' where a greater value means less hungry.

src/population.py:168

↓ 3 callersMethodeliminate

(self, bot, replace = False)

src/population.py:37

↓ 3 callersFunctionseq_is_equal

Helper function that checks if two sequences are equal (assuming they have the same length).

src/utility.py:7

↓ 1 callersMethod_move_forward

src/population.py:151

↓ 1 callersMethod_turn_left

src/population.py:158

↓ 1 callersMethod_turn_right

src/population.py:163

↓ 1 callersMethodactivate

Calls activation function on layer's data.

src/neural_network.py:99

↓ 1 callersFunctionangle_is_between

Takes in 3 angles (in radians) and returns 'a' <= 'angle' <= 'b'.

src/utility.py:17

↓ 1 callersFunctiondistance_between

Calculates the distance between 2 points.

src/utility.py:40

↓ 1 callersMethodfeed

(self, bot, food)

src/population.py:44

↓ 1 callersMethodfeed_forward

Feeds given data through neural network and stores output in output layer's data field. Output can optionally be one-hot encoded.

src/neural_network.py:47

↓ 1 callersFunctionfind_angle

Finds the angle between two points (in radians).

src/utility.py:33

↓ 1 callersFunctionmain

↓ 1 callersMethodoutput

Retrieves data in output layer.

src/neural_network.py:71

↓ 1 callersFunctionrender

(window, FONT, pop)

src/main.py:160

↓ 1 callersFunctionupdate

(dt, pop, key_pressed)

src/main.py:133

Creates a 'NNetwork'. 'layer_sizes' provides information about the number of neurons in each layer, as well as the total number of la

src/neural_network.py:15

Creates a 'Layer' with 'num_neurons' and an additional (optional) bias neuron (which always has a value of '1'). The layer will utili

src/neural_network.py:83

Creates a 'Connection' between 'layer_from' and 'layer_to' that contains all required weights, which are randomly initialized with ra

src/neural_network.py:111

(self, size, mutation_rate)

src/population.py:16

(self, nnet, rgb, population)

src/population.py:142

(self, population)

src/population.py:194

Functionsigmoid

Uses sigmoid transformation on given data. This is an activation function.

src/neural_network.py:124

Functionsoftmax

Uses softmax transformation on given data. This is an activation function.

src/neural_network.py:131

Updates the population's internals. The bulk of event handling for all bots and food starts here.

src/population.py:80

Updates the food's internals and handles bot<->food collision.

src/population.py:205