forked from M-Labs/artiq
parameters: Allow forcing a NumberValue to return a float
Signed-off-by: Charles Baynham <charles.baynham@npl.co.uk>
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@ -23,6 +23,7 @@ Highlights:
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* Experiment results are now always saved to HDF5, even if run() fails.
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* Core device: ``panic_reset 1`` now correctly resets the kernel CPU as well if
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communication CPU panic occurs.
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* NumberValue accepts a ``type`` parameter specifying the output as ``int`` or ``float``
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Breaking changes:
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@ -100,10 +100,9 @@ class EnumerationValue(_SimpleArgProcessor):
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class NumberValue(_SimpleArgProcessor):
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"""An argument that can take a numerical value.
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If ndecimals = 0, scale = 1 and step is integer, then it returns
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an integer value. Otherwise, it returns a floating point value.
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The simplest way to represent an integer argument is
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``NumberValue(step=1, ndecimals=0)``.
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If ``type=="auto"``, the result will be a ``float`` unless
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ndecimals = 0, scale = 1 and step is an integer. Setting ``type`` to
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``int`` will also result in an error unless these conditions are met.
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When ``scale`` is not specified, and the unit is a common one (i.e.
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defined in ``artiq.language.units``), then the scale is obtained from
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@ -126,9 +125,13 @@ class NumberValue(_SimpleArgProcessor):
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:param min: The minimum value of the argument.
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:param max: The maximum value of the argument.
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:param ndecimals: The number of decimals a UI should use.
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:param type: Type of this number. Accepts ``"float"``, ``"int"`` or
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``"auto"``. Defaults to ``"auto"``.
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"""
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valid_types = ["auto", "float", "int"]
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def __init__(self, default=NoDefault, unit="", scale=None,
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step=None, min=None, max=None, ndecimals=2):
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step=None, min=None, max=None, ndecimals=2, type="auto"):
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if scale is None:
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if unit == "":
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scale = 1.0
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@ -146,14 +149,34 @@ class NumberValue(_SimpleArgProcessor):
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self.min = min
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self.max = max
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self.ndecimals = ndecimals
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self.type = type
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if self.type not in NumberValue.valid_types:
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raise TypeError("type must be 'float', 'int' or 'auto'")
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if self.type == "int" and not self._is_int_compatible():
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raise ValueError(("Value marked as integer but settings are "
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"not compatible. Please set ndecimals = 0, "
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"scale = 1 and step to an integer"))
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super().__init__(default)
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def _is_int(self):
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def _is_int_compatible(self):
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'''
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Are the settings other than `type` compatible with this being
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an integer?
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'''
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return (self.ndecimals == 0
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and int(self.step) == self.step
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and self.scale == 1)
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def _is_int(self):
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'''
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Will this argument return an integer?
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'''
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return (self.type == "int"
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or (self.type == "auto" and self._is_int_compatible()))
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def process(self, x):
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if self._is_int():
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return int(x)
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@ -170,6 +193,7 @@ class NumberValue(_SimpleArgProcessor):
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d["min"] = self.min
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d["max"] = self.max
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d["ndecimals"] = self.ndecimals
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d["type"] = self.type
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return d
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