pls
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@ -19,9 +19,9 @@ def is_tide(context: Context) -> Prediction:
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month, cur_year_total_cars, last_year_total_cars = determine_month()
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month = int(month)
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p.reasons.append(f"The month is {calendar.month_name[month]}")
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p.reasons.append(f"The number of cars having driven on the Storbæltsbro is {cur_year_total_cars}, in the current year")
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p.reasons.append(f"The number of cars having driven over it in the last year is {last_year_total_cars}, thus the frequency is: {last_year_total_cars / cur_year_total_cars}")
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p.reasons.append(f"The number of cars having driven over it in the last year is {last_year_total_cars}, thus the frequency is: {last_year_total_cars / cur_year_total_cars:.2f}")
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p.reasons.append(f"The month is therefore {calendar.month_name[month]}")
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tide_data = requests.get('https://www.dmi.dk/fileadmin/user_upload/Bruger_upload/Tidevand/2019/Aarhus.t.txt')
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@ -77,7 +77,7 @@ def is_tide(context: Context) -> Prediction:
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moments.append(time[0])
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night = sum([1 for x in moments if 6 >= x.hour or x.hour >= 22])
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p.reasons.append(f"The water level is currently at {current_water_level}")
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p.reasons.append(f"The water level is currently at {current_water_level} in the Aarhus Bay")
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p.reasons.append(f"The number of times the water is at the current level at nighttime is: {night}, compared to the total amount of times in {calendar.month_name[month]}, being {len(moments)}")
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p.probability = 1 - (night / len(moments))
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