| FLOAT_MAX = 1000000.0 | |
| FLOAT_MIN = -float('inf') | |
| class MinMaxStats: | |
| def __init__(self) -> None: | |
| self.clear() | |
| self.value_delta_max = 0 | |
| def set_delta(self, value_delta_max: float) -> None: | |
| self.value_delta_max = value_delta_max | |
| def update(self, value: float) -> None: | |
| if value > self.maximum: | |
| self.maximum = value | |
| if value < self.minimum: | |
| self.minimum = value | |
| def clear(self) -> None: | |
| self.minimum = FLOAT_MAX | |
| self.maximum = FLOAT_MIN | |
| def normalize(self, value: float) -> float: | |
| norm_value = value | |
| delta = self.maximum - self.minimum | |
| if delta > 0: | |
| if delta < self.value_delta_max: | |
| norm_value = (norm_value - self.minimum) / self.value_delta_max | |
| else: | |
| norm_value = (norm_value - self.minimum) / delta | |
| return norm_value | |
| class MinMaxStatsList: | |
| def __init__(self, num: int) -> None: | |
| self.num = num | |
| self.stats_lst = [MinMaxStats() for _ in range(self.num)] | |
| def set_delta(self, value_delta_max: float) -> None: | |
| for i in range(self.num): | |
| self.stats_lst[i].set_delta(value_delta_max) | |