def get_path(drunk, step_number):
locations = []
d = drunk()
f = Field()
f.add_drunk(d, Location(0, 0))
for step in range(step_number):
f.move_drunk(d)
locations.append(f.get_location(d))
return locations
def sim_walks(num_steps, num_trials, dClass):
drunkard = dClass()
origin = Location(0, 0)
distances = []
for t in range(num_trials):
f = Field()
f.add_drunk(drunkard, origin)
distances.append(round(walk(f, drunkard, num_steps), 1))
return distances
def get_final_locations(step_number, trial_number, drunk):
locations = []
d = drunk()
for t in range(trial_number):
f = Field()
f.add_drunk(d, Location(0, 0))
for s in range(step_number):
f.move_drunk(d)
locations.append(f.get_location(d))
return locations
def walk_simulation(steps, numbers_of_trys, type_of_drunk):
drunk_man = type_of_drunk(name='Oscarin')
origin = Coordinate(0, 0)
distances = []
for _ in range(numbers_of_trys):
field = Field()
field.add_drunk(drunk_man, origin)
walk_simulation = walk(field, drunk_man, steps)
distances.append(round(walk_simulation, 1))
return distances
def simulate_walk(steps: int, number_tries: int, drunk_type: Drunk) -> list:
drunk = drunk_type(name='Alex')
origin = Coordinate(0, 0)
distances_walked = []
for _ in range(number_tries):
field = Field()
field.add_drunk(drunk, origin)
walk_simulation = walked(field, drunk, steps)
distances_walked.append(round(walk_simulation, 1))
return distances_walked
def simulate_walks(step_number, trial_number, drunk):
"""step_number:0以上の整数
trial_number:正の整数
drunk:Drunkのサブクラスのインスタンス
step_number回移動するランダムウォークをtrial_number回シミュレートする。
各シミュレートの初期位置と終了位置をリストとして返す"""
homer = drunk()
origin = Location(0, 0)
distances = []
for trial in range(trial_number):
f = Field()
f.add_drunk(homer, origin)
distances.append(round(walk(f, homer, step_number), 1))
return distances
def simulate_walk(steps, times_attempts, traditional_drunk):
drunk = traditional_drunk(
name='Daniel'
) #inicializar variable/recibiendolo como parametro/agnostica
origin = Coordinate(0, 0)
distances = [] #variables/guardar distancias
for _ in range(times_attempts
): # _ <no se utiliza la variable/solo se da un rango
field = Field() #la simulacion
field.add_drunk(drunk, origin) #campo añadir borracho
simulate_walk = walk(field, drunk, steps) #funcion auxiliar
distances.append(round(simulate_walk,
1)) #añadir a las distancias, la simulacion
return distances
def sim_walks(num_steps, num_trials, dClass):
drunkard = dClass()
origin = Location(0, 0)
distances = []
end_locations = []
for t in range(num_trials):
f = Field()
f.add_drunk(drunkard, origin)
end_location, distance = walk(f, drunkard, num_steps)
distances.append(round(distance, 1))
end_locations.append([end_location.x, end_location.y])
return end_locations, distances
def main():
walk_steps = [10, 100, 1000]
cantidad = 100
myfield = Field()
myfield.add_drunk(Drunk('Martha Peña'))
# myfield.add_drunkman(Drunkman('Michael Reynosa'))
# myfield.add_drunkman(Drunkman('Katya Peña'))
# myfield.add_drunkman(Drunkman('Ronald Marroquin'))
# myfield.add_drunkman(Drunkman('Tatiana Peña'))
for drunk in myfield.get_drunks():
walking_media_distances = []
print(f'Prueba con borracho {drunk.name}')
print(f'{"*" * 75}')
for steps in walk_steps:
print(f'Prueba con {steps} paso/os')
walking_distances = []
for _ in range(cantidad):
origin = Position(drunk.position.x, drunk.position.y)
myfield.walk(drunk, steps)
distance = drunk.position.distance(origin)
walking_distances.append(distance)
drunk.reset()
walking_media_distance = round(sum(walking_distances) / len(walking_distances), 2)
walking_media_distances.append(walking_media_distance)
print(f'Media: {walking_media_distance}')
print(f'Cantidad de veces: {len(walking_distances)}')
print(f'Maximo: {max(walking_distances)}')
print(f'Minimo: {min(walking_distances)}')
print(f'{"=" * 65}')
drunk_history = myfield.get_history(drunk)
graph_path([p.x for p in drunk_history], [p.y for p in drunk_history])
for i, p in enumerate(drunk_history):
print(f'Paso {i} X={p.x} Y={p.y}')
# graph(walk_steps, walking_media_distances)
print('\n')
