def simroll(attacks, at, pow, defense, arm, dice_hit, dice_dmg):
landing_results = [] # Create an array for results to land in before sorting
roll_counter = 0 # Run a roll set for each attack
while roll_counter < attacks:
roll_counter += 1
result = rolls.roll_full(at, pow, defense, arm, dice_hit, dice_dmg) # Calls rolls.roll_full
if attacks > 1:
if result == -1:
result = 0
landing_results.append(result)
# landing_results.sort() # Order the landing_results for later use
damage_total = sum(landing_results) # Calculate total damage
return(damage_total)
# for i in landing_results:
# results[i] += 1 # Populate the results array
#
# result_counter = 0
# average = 0
# while result_counter < max_result:
# if results[result_counter] != 0:
# print(result_counter, "damage: ", round(results[result_counter] / attacks * 100, 2), "%")
# result_counter += 1
#
# print("Total Damage:", damage_total)
# print("Average Damage:", round(damage_total / attacks, 2))
#
# print("25th Percentile:", percentile.percentile(landing_results, 0.25))
# print("50th Percentile:", percentile.percentile(landing_results, 0.50))
# print("75th Percentile:", percentile.percentile(landing_results, 0.75))
# print("90th Percentile:", percentile.percentile(landing_results, 0.90))
def calculate(cycles, attacks, at, pow, defense, arm, dice_hit, dice_dmg, foc, boostflag):
results = [0] * max_result # Create an array to handle up to 'max_result' dmg
ordered_results = [] # Create an array for results to land in before sorting
input_foc = foc # Grab the foc now before we manipulate it
out = 0
counter_cycle = 0
while counter_cycle < cycles:
result = 0
counter_cycle += 1
# if full == 1:
# process = counter_cycle / cycles * 10
# if process == int(process):
# print(int(process * 10), "% Complete",round(time.time() - start_time,2), "seconds")
if input_foc == 0: # If we are not in focus mode...
cycle_attacks = attacks
while cycle_attacks > 0:
out = rolls.roll_full(at, pow, defense, arm, dice_hit, dice_dmg) # Do initial attacks
if out == -1:
out = 0
result = result + out
cycle_attacks -= 1
elif boostflag == 0:
cycle_attacks = attacks + foc
while cycle_attacks > 0:
out = rolls.roll_full(at, pow, defense, arm, dice_hit, dice_dmg) # Do initial attacks
if out == -1:
out = 0
result = result + out
cycle_attacks -= 1
elif boostflag == 1:
cycle_attacks = attacks + foc
while cycle_attacks > 0:
if cycle_attacks >= 2:
out = rolls.roll_full(at, pow, defense, arm, dice_hit + 1, dice_dmg) # Do initial attacks
if out == -1:
out = 0
cycle_attacks -= 2
else:
out = rolls.roll_full(at, pow, defense, arm, dice_hit, dice_dmg)
if out == -1:
out = 0
cycle_attacks -= 1
result = result + out
elif boostflag == 2:
cycle_attacks = attacks + foc
while cycle_attacks > 0:
if cycle_attacks >= 2:
out = rolls.roll_full(at, pow, defense, arm, dice_hit, dice_dmg + 1) # Do initial attacks
if out == -1:
out = 0
cycle_attacks += 1
cycle_attacks -= 2
else:
out = rolls.roll_full(at, pow, defense, arm, dice_hit, dice_dmg)
if out == -1:
out = 0
cycle_attacks -= 1
result = result + out
elif boostflag == 3:
cycle_attacks = attacks + foc
while cycle_attacks > 0:
if cycle_attacks >= 3:
out = rolls.roll_full(at, pow, defense, arm, dice_hit + 1, dice_dmg + 1) # Do initial attacks
if out == -1:
out = 0
cycle_attacks += 1
cycle_attacks -= 3
elif cycle_attacks == 2:
out = rolls.roll_full(at, pow, defense, arm, dice_hit, dice_dmg + 1) # Do initial attacks
if out == -1:
out = 0
cycle_attacks += 1
cycle_attacks -= 2
else:
out = rolls.roll_full(at, pow, defense, arm, dice_hit, dice_dmg)
if out == -1:
out = 0
cycle_attacks -= 1
result = result + out
# if input_foc == 1: # If one foc is left, buy an attack
# out = sim.simroll(1, at, pow, defense, arm, dice_hit, dice_dmg)
# if out == -1:
# out = 0
# result = result + out
ordered_results.append(result)
ordered_results.sort() # Order the ordered_results for later use
for index, i in enumerate(ordered_results):
results[i] += 1 # Populate the results array
damage_total = sum(ordered_results)
# print("Total Damage:", damage_total)
if full == 1:
print("*** Full results for", attacks, "attacks ***")
print("Average Damage:", "\t", round(damage_total / cycles, 2))
print("25th Percentile:", "\t", percentile.percentile(ordered_results, 0.25))
print("50th Percentile:", "\t", percentile.percentile(ordered_results, 0.50))
print("75th Percentile:", "\t", percentile.percentile(ordered_results, 0.75))
print("90th Percentile:", "\t", percentile.percentile(ordered_results, 0.90))
if full == 1:
print("DAMAGE\t", "CONFIDENCE\t", "SPECIFIC")
result_counter = 0
while result_counter < max_result:
if results[result_counter] != 0:
ordered_index = ordered_results.index(result_counter)
confidence = cycles - ordered_index
print(result_counter, "\t", round(confidence / cycles * 100, 2), "%", "\t", round(results[result_counter] / cycles * 100, 2), "%")
result_counter += 1