mirror of
https://github.com/nqrduck/nqrduck-spectrometer.git
synced 2024-09-19 14:00:35 +00:00
Implemented saving and loading of sequences.
This commit is contained in:
jupfi
parent
26a2a85828
commit
46c167841b
3 changed files with 154 additions and 59 deletions
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@ -43,17 +43,23 @@ class BaseSpectrometerModel(ModuleModel):
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"""
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def __init__(self, name):
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self.name = name
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self.options = OrderedDict()
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self.options = list()
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def get_pixmap(self):
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raise NotImplementedError
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def add_option(self, name, option):
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self.options[name] = option
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def add_option(self, option):
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self.options.append(option)
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def get_options(self):
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return self.options
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def get_option_by_name(self, name : str) -> "Option":
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for option in self.options:
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if option.name == name:
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return option
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raise ValueError("Option with name %s not found" % name)
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def __init__(self, module):
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super().__init__(module)
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@ -9,9 +9,10 @@ from .base_spectrometer_model import BaseSpectrometerModel
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logger = logging.getLogger(__name__)
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class Function():
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class Function:
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name: str
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parameters : list
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parameters: list
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expression: str | sympy.Expr
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resolution: float
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start_x: float
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@ -20,11 +21,11 @@ class Function():
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def __init__(self, expr) -> None:
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self.parameters = []
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self.expr = expr
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self.resolution = 22e-9 * 16# 1e-6
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self.resolution = 22e-9 * 16 # 1e-6
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self.start_x = -1
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self.end_x = 1
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def get_time_points(self, pulse_length : float) -> np.ndarray:
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def get_time_points(self, pulse_length: float) -> np.ndarray:
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"""Returns the time domain points for the function with the given pulse length."""
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# Get the time domain points
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n = int(pulse_length / self.resolution)
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@ -55,7 +56,7 @@ class Function():
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return f(t)
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def frequency_domain_plot(self, pulse_length : float) -> MplWidget:
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def frequency_domain_plot(self, pulse_length: float) -> MplWidget:
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mpl_widget = MplWidget()
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td = self.get_time_points(pulse_length)
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yd = self.evaluate(pulse_length)
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@ -65,7 +66,7 @@ class Function():
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mpl_widget.canvas.ax.set_ylabel("Magnitude")
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return mpl_widget
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def time_domain_plot(self, pulse_length : float) -> MplWidget:
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def time_domain_plot(self, pulse_length: float) -> MplWidget:
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mpl_widget = MplWidget()
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td = self.get_time_points(pulse_length)
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mpl_widget.canvas.ax.plot(td, self.evaluate(pulse_length))
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@ -73,29 +74,75 @@ class Function():
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mpl_widget.canvas.ax.set_ylabel("Magnitude")
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return mpl_widget
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def add_parameter(self, parameter : "Function.Parameter"):
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def add_parameter(self, parameter: "Function.Parameter"):
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self.parameters.append(parameter)
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def to_json(self):
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return {
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"name": self.name,
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"parameters": [parameter.to_json() for parameter in self.parameters],
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"expression": str(self.expr),
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"resolution": self.resolution,
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"start_x": self.start_x,
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"end_x": self.end_x,
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}
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@classmethod
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def from_json(cls, data):
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for subclass in cls.__subclasses__():
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if subclass.name == data["name"]:
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cls = subclass
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break
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obj = cls()
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obj.expr = data["expression"]
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obj.name = data["name"]
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obj.resolution = data["resolution"]
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obj.start_x = data["start_x"]
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obj.end_x = data["end_x"]
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obj.parameters = []
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for parameter in data["parameters"]:
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obj.add_parameter(Function.Parameter.from_json(parameter))
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return obj
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class Parameter:
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def __init__(self, name : str, symbol : str, value : float) -> None:
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def __init__(self, name: str, symbol: str, value: float) -> None:
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self.name = name
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self.symbol = symbol
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self.value = value
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self.default = value
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def set_value(self, value : float):
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def set_value(self, value: float):
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self.value = value
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logger.debug("Parameter %s set to %s", self.name, self.value)
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def to_json(self):
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return {
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"name": self.name,
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"symbol": self.symbol,
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"value": self.value,
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"default": self.default,
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}
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@classmethod
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def from_json(cls, data):
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obj = cls(data["name"], data["symbol"], data["value"])
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obj.default = data["default"]
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return obj
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class RectFunction(Function):
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name = "Rectangular"
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def __init__(self) -> None:
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expr = sympy.sympify("1")
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super().__init__(expr)
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class SincFunction(Function):
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name = "Sinc"
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def __init__(self) -> None:
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expr = sympy.sympify("sin(x * l)/ (x * l)")
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super().__init__(expr)
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@ -103,36 +150,64 @@ class SincFunction(Function):
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self.start_x = -np.pi
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self.end_x = np.pi
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class GaussianFunction(Function):
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name = "Gaussian"
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def __init__(self) -> None:
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expr = sympy.sympify("exp(-0.5 * ((x - mu) / sigma)**2)")
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super().__init__(expr)
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self.add_parameter(Function.Parameter("Mean", "mu", 0))
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self.add_parameter(Function.Parameter("Standard Deviation", "sigma", 1))
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self.start_x = -np.pi
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self.end_x = np.pi
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#class TriangleFunction(Function):
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# class TriangleFunction(Function):
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# def __init__(self) -> None:
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# expr = sympy.sympify("triang(x)")
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# super().__init__(lambda x: triang(x))
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class CustomFunction(Function):
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name = "Custom"
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def __init__(self) -> None:
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super().__init__()
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expr = sympy.sympify(" 2 * x**2 + 3 * x + 1")
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super().__init__(expr)
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class Option:
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"""Defines options for the pulse parameters which can then be set accordingly."""
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def __init__(self, name: str, value) -> None:
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self.name = name
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self.value = value
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def set_value(self):
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raise NotImplementedError
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def to_json(self):
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return {"name": self.name, "value": self.value, "type": self.TYPE}
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@classmethod
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def from_json(cls, data) -> "Option":
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for subclass in cls.__subclasses__():
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if subclass.TYPE == data["type"]:
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cls = subclass
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break
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# Check if from_json is implemented for the subclass
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if cls.from_json.__func__ == Option.from_json.__func__:
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obj = cls(data["name"], data["value"])
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else:
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obj = cls.from_json(data)
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return obj
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class BooleanOption(Option):
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"""Defines a boolean option for a pulse parameter option."""
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def __init__(self, value) -> None:
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super().__init__()
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self.value = value
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TYPE = "Boolean"
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def set_value(self, value):
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self.value = value
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@ -140,10 +215,7 @@ class BooleanOption(Option):
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class NumericOption(Option):
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"""Defines a numeric option for a pulse parameter option."""
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def __init__(self, value) -> None:
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super().__init__()
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self.value = value
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TYPE = "Numeric"
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def set_value(self, value):
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self.value = float(value)
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@ -152,63 +224,82 @@ class NumericOption(Option):
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class FunctionOption(Option):
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"""Defines a selection option for a pulse parameter option.
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It takes different function objects."""
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TYPE = "Function"
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def __init__(self, functions) -> None:
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super().__init__()
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def __init__(self, name, functions) -> None:
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super().__init__(name, functions[0])
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self.functions = functions
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self.value = functions[0]
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def set_value(self, value):
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self.value = value
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def get_function_by_name(self, name):
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for function in self.functions:
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if function.name == name:
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return function
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raise ValueError("Function with name %s not found" % name)
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def to_json(self):
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return {"name": self.name, "value": self.value.to_json(), "type": self.TYPE}
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@classmethod
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def from_json(cls, data):
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functions = [function() for function in Function.__subclasses__()]
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obj = cls(data["name"], functions)
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obj.value = Function.from_json(data["value"])
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return obj
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class TXPulse(BaseSpectrometerModel.PulseParameter):
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RELATIVE_AMPLITUDE = "Relative TX Amplitude"
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TX_PHASE = "TX Phase"
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TX_PULSE_SHAPE = "TX Pulse Shape"
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def __init__(self, name) -> None:
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super().__init__(name)
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self.add_option("TX Amplitude", NumericOption(0))
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self.add_option("TX Phase", NumericOption(0))
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self.add_option("TX Pulse Shape", FunctionOption([RectFunction(), SincFunction(), GaussianFunction()]))
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self.add_option(NumericOption(self.RELATIVE_AMPLITUDE, 0))
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self.add_option(NumericOption(self.TX_PHASE, 0))
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self.add_option(
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FunctionOption(self.TX_PULSE_SHAPE, [RectFunction(), SincFunction(), GaussianFunction()]),
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)
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def get_pixmap(self):
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self_path = Path(__file__).parent
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if self.options["TX Amplitude"].value > 0:
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if self.get_option_by_name(self.RELATIVE_AMPLITUDE).value > 0:
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image_path = self_path / "resources/pulseparameter/TXOn.png"
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else:
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image_path = self_path / "resources/pulseparameter/TXOff.png"
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pixmap = QPixmap(str(image_path))
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return pixmap
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class RXReadout(BaseSpectrometerModel.PulseParameter):
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RX = "RX"
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def __init__(self, name) -> None:
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super().__init__(name)
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self.add_option("RX", BooleanOption(False))
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self.add_option(BooleanOption(self.RX, False))
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def get_pixmap(self):
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self_path = Path(__file__).parent
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if self.options["RX"].value == False:
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if self.get_option_by_name(self.RX).value == False:
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image_path = self_path / "resources/pulseparameter/RXOff.png"
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else:
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image_path = self_path / "resources/pulseparameter/RXOn.png"
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pixmap = QPixmap(str(image_path))
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return pixmap
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def set_options(self, options):
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self.state = options
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class Gate(BaseSpectrometerModel.PulseParameter):
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GATE_STATE = "Gate State"
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def __init__(self, name) -> None:
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super().__init__(name)
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self.add_option("Gate State", BooleanOption(False))
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self.add_option(BooleanOption(self.GATE_STATE, False))
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def get_pixmap(self):
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self_path = Path(__file__).parent
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if self.options["Gate State"].state == False:
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if self.get_option_by_name(self.GATE_STATE).value == False:
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image_path = self_path / "resources/pulseparameter/GateOff.png"
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else:
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image_path = self_path / "resources/pulseparameter/GateOn.png"
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pixmap = QPixmap(str(image_path))
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return pixmap
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def set_options(self, options):
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self.state = options
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@ -1,5 +1,6 @@
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import logging
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from collections import OrderedDict
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from nqrduck_spectrometer.pulseparameters import Option
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logger = logging.getLogger(__name__)
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@ -47,20 +48,22 @@ class PulseSequence:
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for pulse_parameter_option in pulse_parameter_options.keys():
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# This checks if the pulse paramter options are the same as the ones in the pulse sequence
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if pulse_parameter_option == parameter["name"]:
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pulse_paramter_class = pulse_parameter_options[
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pulse_parameter_class = pulse_parameter_options[
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pulse_parameter_option
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]
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obj.parameters[pulse_parameter_option] = pulse_paramter_class(
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obj.parameters[pulse_parameter_option] = pulse_parameter_class(
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parameter["name"]
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)
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# Delete the default instances of the pulse parameter options
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obj.parameters[pulse_parameter_option].options = []
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for option in parameter["value"]:
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obj.parameters[pulse_parameter_option].options[
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option["name"]
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].value = option["value"]
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obj.parameters[pulse_parameter_option].options.append(
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Option.from_json(option)
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)
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return obj
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def dump_sequence_data(self):
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def to_json(self):
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"""Returns a dict with all the data in the pulse sequence
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Returns:
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@ -74,13 +77,8 @@ class PulseSequence:
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}
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for parameter in event.parameters.keys():
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event_data["parameters"].append({"name": parameter, "value": []})
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for option in event.parameters[parameter].options.keys():
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event_data["parameters"][-1]["value"].append(
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{
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"name": option,
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"value": event.parameters[parameter].options[option].value,
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}
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)
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for option in event.parameters[parameter].options:
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event_data["parameters"][-1]["value"].append(option.to_json())
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data["events"].append(event_data)
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return data
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