63 lines
2.2 KiB
Plaintext
63 lines
2.2 KiB
Plaintext
init python:
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class Weather():
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weather_types = ("clear", "cloudy", "overcast", "blizzard", "snow", "storm", "rain")
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weather_weights = {
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"Janemar": (8, 9, 10, 3, 4, 7, 7),
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"Aprimju": (9, 10, 9, 2, 3, 8, 8),
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"Juliasep": (10, 10, 8, 1, 2, 6, 9),
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"Octobrinde": (6, 7, 9, 9, 10, 6, 6),
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}
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@staticmethod
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def _interpolate_weights(day, period):
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current_weights = Weather.weather_weights[period]
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current_index = Calendar.periods.index(period)
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next_index = (current_index + 1) % len(Calendar.periods)
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next_weights = Weather.weather_weights[Calendar.periods[next_index]]
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interpolation_factor = (day / 30) * 0.25
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# Interpolate between current season and next season
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adjusted_weights = tuple(
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max(0.01, (1 - interpolation_factor) * current_weight + interpolation_factor * next_weights[i])
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for i, current_weight in enumerate(current_weights)
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)
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return adjusted_weights
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@staticmethod
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def get_weather():
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# Proxy
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return states.env.weather
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@staticmethod
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def set_weather(value=None):
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if value is None or value == "random":
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period = Calendar.get_period()
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weights = Weather._interpolate_weights(states.env.day, period)
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value = states.env.random.choices(Weather.weather_types, weights=weights)[0]
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elif value not in Weather.weather_types:
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raise ValueError(f"Unsupported weather type: {value!r}")
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Weather._weather = value
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return value
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@staticmethod
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def forecast(span=35):
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forecast = {}
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start_day = states.env.day - (states.env.day % 30)
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period = Calendar.get_period()
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for i in range(span):
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day = start_day + i
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weights = Weather._interpolate_weights(day, period)
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rand = states.env._random(day)
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value = rand.choices(Weather.weather_types, weights=weights)[0]
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forecast[i] = value
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return forecast
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