pyhOn/pyhon/parameter/range.py

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from typing import Dict, Any, List
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from pyhon.parameter.base import HonParameter
def str_to_float(string: str | float) -> float:
try:
return int(string)
except ValueError:
return float(str(string).replace(",", "."))
class HonParameterRange(HonParameter):
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def __init__(self, key: str, attributes: Dict[str, Any], group: str) -> None:
super().__init__(key, attributes, group)
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self._min: float = str_to_float(attributes["minimumValue"])
self._max: float = str_to_float(attributes["maximumValue"])
self._step: float = str_to_float(attributes["incrementValue"])
self._default: float = str_to_float(attributes.get("defaultValue", self._min))
self._value: float = self._default
def __repr__(self):
return f"{self.__class__} (<{self.key}> [{self._min} - {self._max}])"
@property
def min(self) -> float:
return self._min
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@min.setter
def min(self, min: float) -> None:
self._min = min
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@property
def max(self) -> float:
return self._max
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@max.setter
def max(self, max: float) -> None:
self._max = max
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@property
def step(self) -> float:
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if not self._step:
return 1
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return self._step
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@step.setter
def step(self, step: float) -> None:
self._step = step
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@property
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def value(self) -> str | float:
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return self._value if self._value is not None else self._min
@value.setter
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def value(self, value: str | float) -> None:
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value = str_to_float(value)
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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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self.check_trigger(value)
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else:
raise ValueError(
f"Allowed: min {self._min} max {self._max} step {self._step}"
)
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@property
def values(self) -> List[str]:
return [str(i) for i in range(int(self.min), int(self.max) + 1, int(self.step))]