def main():
"""Main script.
"""
# Use Agg backend for matplotlib. Why?
matplotlib.use('Agg')
# Load in parameters
params = PARAMS.copy()
# Calculate dimension of the strategy arrays
params['DIMENSION'] = (100 / params['GRANULARITY'] + 1)
# Calculate the value of a single unit of a strategy based on uniform dist.
params['STARTING_PCT'] = 1.0 / (params['DIMENSION'] ** 2)
# Initialize teams
teams = initialize_starting_distribution(**params)
species_breakdown = [1.0 / 3.0] * 3
species_breakdown_history = [[], [], []]
# Initialize average deal data lists
avg_deal_data = [[], [], []]
data = teams
fig, axarr, img, cbar = initialize_figure(avg_deal_data, data, **params)
# MAIN LOOP
for round_number in range(params['ROUNDS']):
# Calculate fitness
game.calc_scores(**params)
# Update data
results = game.update_data()
teams = results[0]
avg_deal_data = results[1]
species_breakdown = results[2]
species_breakdown_history = results[3]
center_of_mass = results[4]
update_figures(fig, axarr, img, cbar, teams, avg_deal_data,
species_breakdown_history, center_of_mass, i, **params)
filename = params['SIM_NAME'] + "%04d.png" % i
fig.savefig(os.path.join("output", "tmp", filename), dpi=150)
remove_file(os.path.join("output", "videos", params["SIM_NAME"] + ".mp4"))
create_video_from_frames(params['SIM_NAME'])
clear_directory(os.path.join("output", "tmp"))
def main():
"""Main script.
"""
# Use Agg backend for matplotlib. Why?
matplotlib.use('Agg')
# Load in parameters
params = PARAMS.copy()
# Calculate dimension of the strategy arrays
params['DIMENSION'] = (100 / params['GRANULARITY'] + 1)
# Calculate the value of a single unit of a strategy based on uniform dist.
params['STARTING_PCT'] = 1.0 / (params['DIMENSION']**2)
# Initialize teams
teams = initialize_starting_distribution(**params)
species_breakdown = [1.0 / 3.0] * 3
species_breakdown_history = [[], [], []]
# Initialize average deal data lists
avg_deal_data = [[], [], []]
data = teams
fig, axarr, img, cbar = initialize_figure(avg_deal_data, data, **params)
# MAIN LOOP
for round_number in range(params['ROUNDS']):
# Calculate fitness
game.calc_scores(**params)
# Update data
results = game.update_data()
teams = results[0]
avg_deal_data = results[1]
species_breakdown = results[2]
species_breakdown_history = results[3]
center_of_mass = results[4]
update_figures(fig, axarr, img, cbar, teams, avg_deal_data,
species_breakdown_history, center_of_mass, i, **params)
filename = params['SIM_NAME'] + "%04d.png" % i
fig.savefig(os.path.join("output", "tmp", filename), dpi=150)
remove_file(os.path.join("output", "videos", params["SIM_NAME"] + ".mp4"))
create_video_from_frames(params['SIM_NAME'])
clear_directory(os.path.join("output", "tmp"))
def main():
"""Main script.
"""
# Use Agg backend for matplotlib. Why?
matplotlib.use('Agg')
# Load in parameters
params = PARAMS.copy()
# Calculate dimension of the strategy arrays
params['DIMENSION'] = (100 / params['GRANULARITY'] + 1)
# Calculate the value of a single unit of a strategy based on uniform dist.
params['UNIT_VALUE'] = 1.0 / (params['DIMENSION']**2)
params['NUMBER_OF_TEAMS'] = len(params['TEAM_SPEC'])
# Initialize game
game = Game(**params)
# Initialize plot
fig, axarr, img, cbar = initialize_figure(game, **params)
# MAIN LOOP
for round_number in range(params['ROUNDS']):
game.calc_scores(**params)
game.update_data(round_number, **params)
print "*******************************"
print "round_number:", round_number
for team in game.teams:
print team.stats.loc[round_number]
print "*******************************"
fig, axarr, img, cbar = update_figures(fig, axarr, img, cbar, game,
round_number, **params)
filename = params['SIM_NAME'] + "%04d.png" % round_number
fig.savefig(os.path.join("output", "tmp", filename), dpi=120)
remove_file(os.path.join("output", "videos", params["SIM_NAME"] + ".mp4"))
create_video_from_frames(params['SIM_NAME'])
clear_directory(os.path.join("output", "tmp"))
def main():
"""Main script.
"""
# Use Agg backend for matplotlib. Why?
matplotlib.use('Agg')
# Load in parameters
params = PARAMS.copy()
# Calculate dimension of the strategy arrays
params['DIMENSION'] = (100 / params['GRANULARITY'] + 1)
# Calculate the value of a single unit of a strategy based on uniform dist.
params['UNIT_VALUE'] = 1.0 / (params['DIMENSION'] ** 2)
params['NUMBER_OF_TEAMS'] = len(params['TEAM_SPEC'])
# Initialize game
game = Game(**params)
# Initialize plot
fig, axarr, img, cbar = initialize_figure(game, **params)
# MAIN LOOP
for round_number in range(params['ROUNDS']):
game.calc_scores(**params)
game.update_data(round_number, **params)
print "*******************************"
print "round_number:", round_number
for team in game.teams:
print team.stats.loc[round_number]
print "*******************************"
fig, axarr, img, cbar = update_figures(fig, axarr, img, cbar, game,
round_number, **params)
filename = params['SIM_NAME'] + "%04d.png" % round_number
fig.savefig(os.path.join("output", "tmp", filename), dpi=120)
remove_file(os.path.join("output", "videos", params["SIM_NAME"] + ".mp4"))
create_video_from_frames(params['SIM_NAME'])
clear_directory(os.path.join("output", "tmp"))