Brtdku

first of all, I had an old which worked great as it were, i call this for distributions_v1.py. This file is generating random distributions using probabilities.

What was the problem with this file? The problem was that this was a bad code, and it only generated distributions once! so when I am running simulations in main.py, the simulation
is using the same distributions everyday, instead of computing new ones for each day.

So what did I try to do, Well I tried the reloading module(recalling the file), but that doest not work because of this method:

def distribute_faster(cars, totals):

    counts = {total: 0 for total in range(totals)}

    while cars > 0:

        adjust = cars > 5000  # totally arbitrary

        change = 1

        if adjust:

            change = 5

        choice = randint(0, totals - 1)

        counts[choice] += change

        cars -= change

    return counts

So after this didnt work, I tried reformatting the code, this I named for distributions_v2.py. I have added functions etc, but the error I get in the main.py file because of the changes
are: for hotspot in hotspot_districts:
TypeError: 'int' object is not iterable

PS: here is the old code(distributions_v1.py):

from random import randint



total_amount_of_cars_that_are_driving_to_work_districts =  26904

total_amount_of_cars_that_are_driving_to_main_districts = 21528

total_amount_of_cars_that_are_driving_to_hotspot_districts = 5376





"----Work districts setup----"

distributed_cars_to_work = 

cars_per_hour_to_work_districts = 



total_work_districts = 

all_working_districts_used = 

for amount_of_working_districts in range(0,7):

    all_working_districts_used.append(amount_of_working_districts)



for work_districts in all_working_districts_used:

    total_work_districts.append(work_districts)



"----Main districts setup----"

distributed_cars_to_main = 

cars_per_hour_to_main_districts = 



total_main_districts = 

all_the_main_districts = 

for amount_of_main_districts in range (0,45):

    all_the_main_districts.append(amount_of_main_districts)

for main_districts in all_the_main_districts:

    total_main_districts.append(main_districts)



"----Hotspot district setup----"

distributed_cars_to_hotspot = 

cars_per_hour_to_hotspot_districts = 



total_hotspot_districts = 

all_the_hotspot_districts = 

for amount_of_hotspot_districts in range(0,4):

    all_the_hotspot_districts.append(amount_of_hotspot_districts)



for hotspot_districts in all_the_hotspot_districts:

    total_hotspot_districts.append(hotspot_districts)













class CarsDistribution:

    all_probabilities = {

        "work":

#Hour:0      1      2     3      4     5      6      7      8      9     10     11    12    13     14     15    16    17    18     19    20     21      22     23      24

    (0.0,   0.0,   0.0,  0.0,   0.01, 0.05,  0.11,  0.19,  0.23,  0.2,  0.14,  0.05, 0.0,  0.0,    0.0,  0.0,   0.0, 0.0,  0.0,   0.0,  0.0,   0.0,    0.0,   0.0,   0.0),

        "main":

#Hour:0      1      2     3      4     5      6      7      8      9     10     11    12    13     14     15    16    17    18     19    20     21      22     23      24

    (0.0,   0.0,   0.0,  0.0,   0.0,  0.0,   0.0,   0.01,  0.01,  0.02, 0.02,  0.03, 0.04, 0.05,  0.06,  0.07, 0.08, 0.08, 0.08,  0.08, 0.07,  0.06,   0.06,  0.05,  0.04),

        "hotspot":

#Hour:0      1      2     3      4     5      6      7      8      9     10     11    12    13     14     15    16    17    18     19    20     21      22     23      24

    (0.0,   0.0,   0.0,  0.0,   0.0,  0.0,   0.0,   0.0,   0.0,  0.01,  0.02,  0.03, 0.04, 0.08,   0.1,  0.12, 0.13, 0.13, 0.11,  0.07, 0.05,  0.04,   0.03,  0.02,   0.01)



    }



    def __init__(self, type, cars):

        total_length = len(cars)

        self.cars_per_hour = {}

        for hour, p in enumerate(self.all_probabilities[type]):

            try:

                self.cars_per_hour[hour] = [cars.pop() for i in range(int(p * total_length))]

            except IndexError:

                print('cars already exhausted at hour {}'.format(hour))

        if cars:

            print('{} left after distributing is finished'.format(len(cars)))



def distribute_faster(cars, totals):

    counts = {total: 0 for total in range(totals)}

    while cars > 0:

        adjust = cars > 5000  # totally arbitrary

        change = 1

        if adjust:

            change = 5

        choice = randint(0, totals - 1)

        counts[choice] += change

        cars -= change

    return counts









random_distribution_to_work = distribute_faster(total_amount_of_cars_that_are_driving_to_work_districts, 8)

print("Amount of cars distributed to work stations: {}".format(random_distribution_to_work))

print(".............................................................................................................")





for key, value in random_distribution_to_work.items():

    distributed_cars_to_work.append(value)





(work_districts) = (CarsDistribution('work', [distributed_cars_to_work for x in range(num_cars)]) for num_cars in distributed_cars_to_work)







for randomWork in work_districts:

    cars_per_hour_to_work_districts.append([len(c) for c in randomWork.cars_per_hour.values()])



for if_i_want_to_see_cars_per_hour_in_24_hours_to_work in cars_per_hour_to_work_districts:

    print(if_i_want_to_see_cars_per_hour_in_24_hours_to_work)



    print("Total amount of car that got distributed to this work station: {}".format(

        sum(if_i_want_to_see_cars_per_hour_in_24_hours_to_work)))

    print("--------------------------------------------------------------------------------------------------")



print("===============================WORK DISTRIBUTION FINISHED=========================================")











random_distribution_to_main = distribute_faster(total_amount_of_cars_that_are_driving_to_main_districts, 46) #46!!



print("Amount of cars distributed to main stations: {}".format(random_distribution_to_main))

print(".............................................................................................................")





for key, value in random_distribution_to_main.items():

    distributed_cars_to_main.append(value)





(main_districts) = (CarsDistribution('main', [distributed_cars_to_main for x in range(num_cars)]) for num_cars in

                    distributed_cars_to_main)



for randomMain in main_districts:

    cars_per_hour_to_main_districts.append([len(c) for c in randomMain.cars_per_hour.values()])



for if_i_want_to_see_cars_per_hour_in_24_hours_to_main in cars_per_hour_to_main_districts:

    print(if_i_want_to_see_cars_per_hour_in_24_hours_to_main)



    print("Total amount of car that got distributed to this main station: {}".format(

        sum(if_i_want_to_see_cars_per_hour_in_24_hours_to_main)))

    print("--------------------------------------------------------------------------------------------------")



print("===============================MAIN DISTRIBUTION FINISHED=========================================")









random_distribution_to_hotspot = distribute_faster(total_amount_of_cars_that_are_driving_to_hotspot_districts, 5)



print("Amount of cars distributed to hotspot stations: {}".format(random_distribution_to_hotspot))

print(".............................................................................................................")







for key, value in random_distribution_to_hotspot.items():

    distributed_cars_to_hotspot.append(value)





(hotspot_districts) = (CarsDistribution('hotspot', [distributed_cars_to_hotspot for x in range(num_cars)]) for num_cars in

                    distributed_cars_to_hotspot)



for randomHotspot in hotspot_districts:

    cars_per_hour_to_hotspot_districts.append([len(c) for c in randomHotspot.cars_per_hour.values()])



for if_i_want_to_see_cars_per_hour_in_24_hours_to_hotspot in cars_per_hour_to_hotspot_districts:

    print(if_i_want_to_see_cars_per_hour_in_24_hours_to_hotspot)



    print("Total amount of car that got distributed to this hotspot station: {}".format(

        sum(if_i_want_to_see_cars_per_hour_in_24_hours_to_hotspot)))

    print("--------------------------------------------------------------------------------------------------")



print("============================HOTSPOT DISTRIBUTION FINISHED=========================================")

and here is the reformatted code with functions(distributions_v2.py):

from random import randint



total_amount_of_cars_that_are_driving_to_work_districts =  26904

total_amount_of_cars_that_are_driving_to_main_districts = 21528

total_amount_of_cars_that_are_driving_to_hotspot_districts = 5376





"----Work districts setup----"

distributed_cars_to_work = 

cars_per_hour_to_work_districts = 



total_work_districts = 

all_working_districts_used = 

for amount_of_working_districts in range(0,7):

    all_working_districts_used.append(amount_of_working_districts)



for work_districts in all_working_districts_used:

    total_work_districts.append(work_districts)



"----Main districts setup----"

distributed_cars_to_main = 

cars_per_hour_to_main_districts = 



total_main_districts = 

all_the_main_districts = 

for amount_of_main_districts in range (0,45):

    all_the_main_districts.append(amount_of_main_districts)

for main_districts in all_the_main_districts:

    total_main_districts.append(main_districts)



"----Hotspot district setup----"

distributed_cars_to_hotspot = 

cars_per_hour_to_hotspot_districts = 



total_hotspot_districts = 

all_the_hotspot_districts = 

for amount_of_hotspot_districts in range(0,4):

    all_the_hotspot_districts.append(amount_of_hotspot_districts)



for hotspot_districts in all_the_hotspot_districts:

    total_hotspot_districts.append(hotspot_districts)







def distribute_faster(cars, totals):

    counts = {total: 0 for total in range(totals)}

    while cars > 0:

        adjust = cars > 5000  # totally arbitrary

        change = 1

        if adjust:

            change = 5

        choice = randint(0, totals - 1)

        counts[choice] += change

        cars -= change

    return counts











class CarsDistribution:

    all_probabilities = {

        "work":

#Hour:0      1      2     3      4     5      6      7      8      9     10     11    12    13     14     15    16    17    18     19    20     21      22     23      24

    (0.0,   0.0,   0.0,  0.0,   0.01, 0.05,  0.11,  0.19,  0.23,  0.2,  0.14,  0.05, 0.0,  0.0,    0.0,  0.0,   0.0, 0.0,  0.0,   0.0,  0.0,   0.0,    0.0,   0.0,   0.0),

        "main":

#Hour:0      1      2     3      4     5      6      7      8      9     10     11    12    13     14     15    16    17    18     19    20     21      22     23      24

    (0.0,   0.0,   0.0,  0.0,   0.0,  0.0,   0.0,   0.01,  0.01,  0.02, 0.02,  0.03, 0.04, 0.05,  0.06,  0.07, 0.08, 0.08, 0.08,  0.08, 0.07,  0.06,   0.06,  0.05,  0.04),

        "hotspot":

#Hour:0      1      2     3      4     5      6      7      8      9     10     11    12    13     14     15    16    17    18     19    20     21      22     23      24

    (0.0,   0.0,   0.0,  0.0,   0.0,  0.0,   0.0,   0.0,   0.0,  0.01,  0.02,  0.03, 0.04, 0.08,   0.1,  0.12, 0.13, 0.13, 0.11,  0.07, 0.05,  0.04,   0.03,  0.02,   0.01)



    }



    def __init__(self, type, cars):

        total_length = len(cars)

        self.cars_per_hour = {}

        for hour, p in enumerate(self.all_probabilities[type]):

            try:

                self.cars_per_hour[hour] = [cars.pop() for i in range(int(p * total_length))]

            except IndexError:

                print('cars already exhausted at hour {}'.format(hour))

        if cars:

            print('{} left after distributing is finished'.format(len(cars)))











def generate_work_districts_distribution():

    random_distribution_to_work = distribute_faster(total_amount_of_cars_that_are_driving_to_work_districts, 8)

    print("Amount of cars distributed to work stations: {}".format(random_distribution_to_work))

    print(

        ".............................................................................................................")



    for key, value in random_distribution_to_work.items():

        distributed_cars_to_work.append(value)



    (work_districts) = (CarsDistribution('work', [distributed_cars_to_work for x in range(num_cars)]) for num_cars in

                        distributed_cars_to_work)



    for randomWork in work_districts:

        cars_per_hour_to_work_districts.append([len(c) for c in randomWork.cars_per_hour.values()])



    for if_i_want_to_see_cars_per_hour_in_24_hours_to_work in cars_per_hour_to_work_districts:

        print(if_i_want_to_see_cars_per_hour_in_24_hours_to_work)



        print("Total amount of car that got distributed to this work station: {}".format(

            sum(if_i_want_to_see_cars_per_hour_in_24_hours_to_work)))

        print("--------------------------------------------------------------------------------------------------")



    print("===============================WORK DISTRIBUTION FINISHED=========================================")







def generate_distributions_to_main():

    random_distribution_to_main = distribute_faster(total_amount_of_cars_that_are_driving_to_main_districts, 46)  # 46!!



    print("Amount of cars distributed to main stations: {}".format(random_distribution_to_main))

    print(

        ".............................................................................................................")



    for key, value in random_distribution_to_main.items():

        distributed_cars_to_main.append(value)



    (main_districts) = (CarsDistribution('main', [distributed_cars_to_main for x in range(num_cars)]) for num_cars in

                        distributed_cars_to_main)



    for randomMain in main_districts:

        cars_per_hour_to_main_districts.append([len(c) for c in randomMain.cars_per_hour.values()])



    for if_i_want_to_see_cars_per_hour_in_24_hours_to_main in cars_per_hour_to_main_districts:

        print(if_i_want_to_see_cars_per_hour_in_24_hours_to_main)



        print("Total amount of car that got distributed to this main station: {}".format(

            sum(if_i_want_to_see_cars_per_hour_in_24_hours_to_main)))

        print("--------------------------------------------------------------------------------------------------")



    print("===============================MAIN DISTRIBUTION FINISHED=========================================")









def generate_hotspot_distributions():

    random_distribution_to_hotspot = distribute_faster(total_amount_of_cars_that_are_driving_to_hotspot_districts, 5)

    print("Amount of cars distributed to hotspot stations: {}".format(random_distribution_to_hotspot))

    print(

        ".............................................................................................................")



    for key, value in random_distribution_to_hotspot.items():

        distributed_cars_to_hotspot.append(value)



    (hotspot_districts) = (CarsDistribution('hotspot', [distributed_cars_to_hotspot for x in range(num_cars)]) for

                           num_cars in

                           distributed_cars_to_hotspot)



    for randomHotspot in hotspot_districts:

        cars_per_hour_to_hotspot_districts.append([len(c) for c in randomHotspot.cars_per_hour.values()])





for if_i_want_to_see_cars_per_hour_in_24_hours_to_hotspot in cars_per_hour_to_hotspot_districts:

    print(if_i_want_to_see_cars_per_hour_in_24_hours_to_hotspot)



    print("Total amount of car that got distributed to this hotspot station: {}".format(

        sum(if_i_want_to_see_cars_per_hour_in_24_hours_to_hotspot)))

    print("--------------------------------------------------------------------------------------------------")



    print("============================HOTSPOT DISTRIBUTION FINISHED=========================================")









"---Reset the lists after used ---"

distributed_cars_to_work = 

cars_per_hour_to_work_districts = 



total_work_districts = 

all_working_districts_used = 





distributed_cars_to_main = 

cars_per_hour_to_main_districts = 



total_main_districts = 

all_the_main_districts = 





distributed_cars_to_hotspot = 

cars_per_hour_to_hotspot_districts = 



total_hotspot_districts = 

all_the_hotspot_districts = 

Could someone help me please? the new code looks great, but now in the main.py file i get Typerror"int object is not iterable"

If I dont see any solution I may perhaps just move all into main.py, but as I wanna have good structure I want to keep the distributions.py file.

Thank you.

Solved, I have an function that calls all the other functions!

here is my code:

from random import randint



total_amount_of_cars_that_are_driving_to_work_districts = 26904

total_amount_of_cars_that_are_driving_to_main_districts = 21528

total_amount_of_cars_that_are_driving_to_hotspot_districts = 5376



cars_per_hour_to_hotspot_districts = None

cars_per_hour_to_work_districts = None

cars_per_hour_to_main_districts = None





def generate_new_data():

    create_days()

    generate_work_districts_distribution()

    generate_hotspot_distributions()

    generate_distributions_to_main()





def distribute_faster(cars, totals):

    counts = {total: 0 for total in range(totals)}

    while cars > 0:

        adjust = cars > 5000  # totally arbitrary

        change = 1

        if adjust:

            change = 5

        choice = randint(0, totals - 1)

        counts[choice] += change

        cars -= change

    return counts





def create_days():

    "----Work districts setup----"

    global distributed_cars_to_work

    distributed_cars_to_work = 

    global cars_per_hour_to_work_districts

    cars_per_hour_to_work_districts = 



    total_work_districts = 

    all_working_districts_used = 

    for amount_of_working_districts in range(0, 7):

        all_working_districts_used.append(amount_of_working_districts)



    for work_districts in all_working_districts_used:

        total_work_districts.append(work_districts)



    "----Main districts setup----"

    global distributed_cars_to_main

    distributed_cars_to_main = 

    global cars_per_hour_to_main_districts

    cars_per_hour_to_main_districts = 



    total_main_districts = 

    all_the_main_districts = 

    for amount_of_main_districts in range(0, 45):

        all_the_main_districts.append(amount_of_main_districts)

    for main_districts in all_the_main_districts:

        total_main_districts.append(main_districts)



    "----Hotspot district setup----"

    global distributed_cars_to_hotspot

    distributed_cars_to_hotspot = 

    global cars_per_hour_to_hotspot_districts

    cars_per_hour_to_hotspot_districts = 



    total_hotspot_districts = 

    all_the_hotspot_districts = 

    for amount_of_hotspot_districts in range(0, 4):

        all_the_hotspot_districts.append(amount_of_hotspot_districts)



    for hotspot_districts in all_the_hotspot_districts:

        total_hotspot_districts.append(hotspot_districts)





def generate_work_districts_distribution():

    random_distribution_to_work = distribute_faster(total_amount_of_cars_that_are_driving_to_work_districts, 8)

    print("Amount of cars distributed to work stations: {}".format(random_distribution_to_work))

    print(

        ".............................................................................................................")



    for key, value in random_distribution_to_work.items():

        distributed_cars_to_work.append(value)



    (work_districts) = (CarsDistribution('work', [distributed_cars_to_work for x in range(num_cars)]) for num_cars in

                        distributed_cars_to_work)



    for randomWork in work_districts:

        cars_per_hour_to_work_districts.append([len(c) for c in randomWork.cars_per_hour.values()])



    for if_i_want_to_see_cars_per_hour_in_24_hours_to_work in cars_per_hour_to_work_districts:

        print(if_i_want_to_see_cars_per_hour_in_24_hours_to_work)



        print("Total amount of car that got distributed to this work station: {}".format(

            sum(if_i_want_to_see_cars_per_hour_in_24_hours_to_work)))

        print("--------------------------------------------------------------------------------------------------")



    print("===============================WORK DISTRIBUTION FINISHED=========================================")





def generate_distributions_to_main():

    random_distribution_to_main = distribute_faster(total_amount_of_cars_that_are_driving_to_main_districts, 46)  # 46!!



    print("Amount of cars distributed to main stations: {}".format(random_distribution_to_main))

    print(

        ".............................................................................................................")



    for key, value in random_distribution_to_main.items():

        distributed_cars_to_main.append(value)



    (main_districts) = (CarsDistribution('main', [distributed_cars_to_main for x in range(num_cars)]) for num_cars in

                        distributed_cars_to_main)



    for randomMain in main_districts:

        cars_per_hour_to_main_districts.append([len(c) for c in randomMain.cars_per_hour.values()])



    for if_i_want_to_see_cars_per_hour_in_24_hours_to_main in cars_per_hour_to_main_districts:

        print(if_i_want_to_see_cars_per_hour_in_24_hours_to_main)



        print("Total amount of car that got distributed to this main station: {}".format(

            sum(if_i_want_to_see_cars_per_hour_in_24_hours_to_main)))

        print("--------------------------------------------------------------------------------------------------")



    print("===============================MAIN DISTRIBUTION FINISHED=========================================")





def generate_hotspot_distributions():

    random_distribution_to_hotspot = distribute_faster(total_amount_of_cars_that_are_driving_to_hotspot_districts, 5)

    print("Amount of cars distributed to hotspot stations: {}".format(random_distribution_to_hotspot))

    print(

        ".............................................................................................................")



    for key, value in random_distribution_to_hotspot.items():

        distributed_cars_to_hotspot.append(value)



    (hotspot_districts) = (CarsDistribution('hotspot', [distributed_cars_to_hotspot for x in range(num_cars)]) for

                           num_cars in distributed_cars_to_hotspot)



    for randomHotspot in hotspot_districts:

        cars_per_hour_to_hotspot_districts.append([len(c) for c in randomHotspot.cars_per_hour.values()])



    for if_i_want_to_see_cars_per_hour_in_24_hours_to_hotspot in cars_per_hour_to_hotspot_districts:

        print(if_i_want_to_see_cars_per_hour_in_24_hours_to_hotspot)



        print("Total amount of car that got distributed to this hotspot station: {}".format(

            sum(if_i_want_to_see_cars_per_hour_in_24_hours_to_hotspot)))

        print("--------------------------------------------------------------------------------------------------")



    print("============================HOTSPOT DISTRIBUTION FINISHED=========================================")





class CarsDistribution:

    all_probabilities = {

        "work":

        # Hour:0      1      2     3      4     5      6      7      8      9     10     11    12    13     14     15    16    17    18     19    20     21      22     23      24

            (0.0, 0.0, 0.0, 0.0, 0.01, 0.05, 0.11, 0.19, 0.23, 0.2, 0.14, 0.05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,

             0.0, 0.0, 0.0, 0.0, 0.0),

        "main":

        # Hour:0      1      2     3      4     5      6      7      8      9     10     11    12    13     14     15    16    17    18     19    20     21      22     23      24

            (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.01, 0.02, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.08, 0.08,

             0.08, 0.07, 0.06, 0.06, 0.05, 0.04),

        "hotspot":

        # Hour:0      1      2     3      4     5      6      7      8      9     10     11    12    13     14     15    16    17    18     19    20     21      22     23      24

            (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.02, 0.03, 0.04, 0.08, 0.1, 0.12, 0.13, 0.13, 0.11,

             0.07, 0.05, 0.04, 0.03, 0.02, 0.01)



    }



    def __init__(self, type, cars):

        total_length = len(cars)

        self.cars_per_hour = {}

        for hour, p in enumerate(self.all_probabilities[type]):

            try:

                self.cars_per_hour[hour] = [cars.pop() for i in range(int(p * total_length))]

            except IndexError:

                print('cars already exhausted at hour {}'.format(hour))

        if cars:

            print('{} left after distributing is finished'.format(len(cars)))