Inserts or removes a single gene from the genome. This is used only when the simulator is configured to allow genomes of unequal lengths during a simu

Read the biosim4 log file and return the last line. return a dictionary of results

Read a biosim4 style INI file and cast as a dictionary.

During the culling process, we will remove any neuron that has no outputs, and all the connections that feed the useless neuron.

This takes a probability from 0.0..1.0 and adjusts it according to an exponential curve. The steepness of the curve is determined by the K factor whic

ToDo: put save_video() in its own thread

Synchronous version, always returns true

This converts sensor numbers to mnemonic strings. Useful for later processing by graph-nnet.py.

can be called after getResultParams() to see the result params in resultdict returned by getResultParams() returns True after displaying dict it

Execute one simStep for one individual. This executes in its own thread, invoked from the main simulator thread. First we execute indiv.feedForward()

Start of simulator All the agents are randomly placed with random genomes at the start. The outer loop is generation, the inner loop is simStep. Ther

At this point, the deferred death queue and move queue have been processed and we are left with zero or more individuals who will repopulate the world

Starts the image writer asynchronous thread.

create a new timer, interval is in seconds

fire the signal and restart it

cancel the timer

connect a slot to this signal. The parameter slot can be a funtion that takes exactly 2 arguments or a method that takes self plus 2

Print stats about pheromone usage.

Returned sensor values range SENSOR_MIN..SENSOR_MAX

get boolean value from config

get int value from config

get int value from config

If parameter p.deterministic is true, we'll initialize the RNG with the seed specified in parameter p.RNGSeed, otherwise we'll initialize the RNG with

Load biosim4 parameters from an INI file and load them into the testing environment in test config format. e.g. MaxGeneratio

This returns a random 32-bit integer. Neither the Marsaglia nor the Jenkins algorithms are of cryptographic quality, but we don't need that. We just n

(Re)read the test config INI file.

result-generations = int result-survivors-min = int result-survivors-max = int result-diversity-min = float result-di

Execute the biosim4 binary using the 'subprocess' module

Runs in a thread; wakes up when there's a video frame to generate. When this wakes up, local copies of Params and Peeps will have been cached for us t

This is a synchronous gate for giving a job to saveFrameThread(). Called from the same thread as the main simulator loop thread during single-thread m

display all test sections in app config file

start a new thread to execute the supplied function

stop thread execution

toggle a setting in the ini file

Re-read the test config INI file. Load into the test environment config object.

Write a biosim4 style INI file prior to running a sim test. Test-style params are converted to biosim4-style params before being writ

Save the test config object to test config INI file.

write a setting in the ini file