Python get_distribution_choice Examples

Example #1

 def get_rps_choice(self, rps_distribution):
     """Return a random choice given a probability distribution between the
     available actions."""
     # This has been left in simply because it hardly needs to be changed. Modify
     # the variable names to fit your game.
     random_choice = random()
     index_choice = utility.get_distribution_choice(rps_distribution)
     return self.actions[index_choice]

Example #2

File: game_template.py Project: danielmoniz/genetic_algorithms

    def get_rps_choice(self, rps_distribution):
        """Return a random choice given a probability distribution between the
        available actions."""
# This has been left in simply because it hardly needs to be changed. Modify
# the variable names to fit your game.
        random_choice = random()
        index_choice = utility.get_distribution_choice(rps_distribution)
        return self.actions[index_choice]

Example #3

File: run.py Project: jattoabdul/genetic_algorithms

chromosones = game.generate_initial_population()
# used for debugging. And watching organism changes over generations.
"""for chrom in chromosones:
    print chrom
    print chrom.rps
    """

organisms = []
user_rps = (1, 0, 0)
#user_rps = utility.normalize_tuple((0.2, 0.5, 0.3))
print "User distribution:", user_rps

# Loop through each game turn. Select a random user choice out of the provided
# distribution each time.
for i in range(NUM_GAME_TURNS):
    user_index_selection = utility.get_distribution_choice(user_rps)
    user_action = game.actions[user_index_selection]
    organisms = game.run_game_turn(chromosones, user_action)

#print get_organism_stats(organisms)
organism_list = []
for chrom in organisms:
    organism_list.append([
        chrom.hit_points, [round(rps_element, 2) for rps_element in chrom.rps]
    ])

organism_list = sorted(organism_list)
print "Top 5 (or less) organisms, sorted by hit points:"
for org in reversed(organism_list[-5:]):
    print org

Example #4

File: run.py Project: danielmoniz/genetic_algorithms

chromosones = game.generate_initial_population()
# used for debugging. And watching organism changes over generations.
"""for chrom in chromosones:
    print chrom
    print chrom.rps
    """

organisms = []
user_rps = (1, 0, 0)
#user_rps = utility.normalize_tuple((0.2, 0.5, 0.3))
print "User distribution:", user_rps

# Loop through each game turn. Select a random user choice out of the provided
# distribution each time.
for i in range(NUM_GAME_TURNS):
    user_index_selection = utility.get_distribution_choice(user_rps)
    user_action = game.actions[user_index_selection]
    organisms = game.run_game_turn(chromosones, user_action)

#print get_organism_stats(organisms)
organism_list = []
for chrom in organisms:
    organism_list.append([chrom.hit_points, [round(rps_element, 2) for rps_element in chrom.rps]])

organism_list = sorted(organism_list)
print "Top 5 (or less) organisms, sorted by hit points:"
for org in reversed(organism_list[-5:]):
    print org

strongest_organisms = game.get_strongest_organisms(organisms)

Example #5

File: rock_paper_scissors.py Project: danielmoniz/genetic_algorithms

 def get_rps_choice(self, rps_distribution):
     """Return a random choice given a probability distribution between R, P,
     and S."""
     random_choice = random()
     index_choice = utility.get_distribution_choice(rps_distribution)
     return self.actions[index_choice]

Example #6

File: rock_paper_scissors.py Project: jattoabdul/genetic_algorithms

 def get_rps_choice(self, rps_distribution):
     """Return a random choice given a probability distribution between R, P,
     and S."""
     random_choice = random()
     index_choice = utility.get_distribution_choice(rps_distribution)
     return self.actions[index_choice]