2023-04-23 02:38:44 +05:30
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from typing import Dict, Any, List
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2023-04-16 05:13:37 +05:30
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from pyhon.parameter.base import HonParameter
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def str_to_float(string: str | float) -> float:
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try:
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return int(string)
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except ValueError:
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return float(str(string).replace(",", "."))
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class HonParameterRange(HonParameter):
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2023-05-06 19:37:28 +05:30
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def __init__(self, key: str, attributes: Dict[str, Any], group: str) -> None:
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super().__init__(key, attributes, group)
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2023-04-16 05:13:37 +05:30
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self._min: float = str_to_float(attributes["minimumValue"])
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self._max: float = str_to_float(attributes["maximumValue"])
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self._step: float = str_to_float(attributes["incrementValue"])
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self._default: float = str_to_float(attributes.get("defaultValue", self._min))
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self._value: float = self._default
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def __repr__(self):
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return f"{self.__class__} (<{self.key}> [{self._min} - {self._max}])"
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@property
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def min(self) -> float:
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return self._min
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@property
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def max(self) -> float:
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return self._max
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@property
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def step(self) -> float:
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if not self._step:
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return 1
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2023-04-16 05:13:37 +05:30
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return self._step
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@property
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2023-05-28 09:47:43 +05:30
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def value(self) -> str | float:
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2023-04-16 05:13:37 +05:30
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return self._value if self._value is not None else self._min
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@value.setter
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2023-05-28 09:47:43 +05:30
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def value(self, value: str | float) -> None:
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value = str_to_float(value)
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2023-05-15 02:33:46 +05:30
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if self._min <= value <= self._max and not (value - self._min) % self._step:
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self._value = value
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2023-05-21 05:55:43 +05:30
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self.check_trigger(value)
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2023-04-16 05:13:37 +05:30
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else:
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raise ValueError(
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f"Allowed: min {self._min} max {self._max} step {self._step}"
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)
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2023-04-23 02:38:44 +05:30
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@property
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def values(self) -> List[str]:
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return [str(i) for i in range(int(self.min), int(self.max) + 1, int(self.step))]
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