The code is a simulation of genetic inheritance and population dynamics. It explores how allele and genotype frequencies change over multiple reproductive cycles. The code is divided into two sections: a static model and a dynamic model.

Static Model:

• In the static model, the starting allele frequencies are defined for two alleles (T and M) using the variables T_freq and M_freq.
• Genotype frequencies are calculated based on the starting allele frequencies.
• The simulate_offspring function simulates the production of offspring based on the genotype frequencies of the parents. Offspring genotypes are randomly assigned according to the genotype frequencies.
• The update_frequencies function updates the allele and genotype frequencies based on the offspring produced.
• The simulate_cycles function simulates a given number of breeding cycles. It initializes the starting population of parents, and then iteratively simulates offspring production and frequency updates.
• The resulting allele and genotype frequencies are plotted over time using matplotlib.

Dynamic Model:

• The dynamic model extends the static model by introducing outcrossing between progeny.
• In this model, the starting genotype frequencies are defined for two parents using the variables TT_freq, MM_freq, and MT_freq.
• The simulate_offspring and update_frequencies functions are similar to the static model.
• The simulate_cycles function is modified to account for changes in allele frequencies due to outcrossing between progeny.
• The resulting allele and genotype frequencies are plotted over time using matplotlib.

By calling the simulate_cycles function with appropriate parameters (e.g., the number of starting pairs and the number of cycles), you can observe how allele and genotype frequencies change over time in the population.