completed help and group entries for command line options
This commit is contained in:
@@ -178,15 +178,15 @@ class ReaderConfig(ArgParsable):
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metadata={
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'short': 'rp',
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'group': 'input data',
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'help': 'Search paths for hdf files',
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'help': 'search paths for hdf files',
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},
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)
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startTime: Optional[float] = field(
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default = None,
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metadata={
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'short': '?',
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'group': '?',
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'help': '?',
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'short': 'st',
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'group': 'data manicure',
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'help': 'set time zero other than the start of the data aquisition',
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},
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)
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@@ -204,7 +204,6 @@ class MonitorType(StrEnum):
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@dataclass
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class ExperimentConfig(ArgParsable):
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#chopperPhase: float
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chopperPhase: float = field(
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default=0,
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metadata={
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@@ -221,7 +220,6 @@ class ExperimentConfig(ArgParsable):
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'help': 'phase between chopper 1 index pulse and closing edge',
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},
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)
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#chopperSpeed: float
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chopperSpeed: float = field(
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default=500,
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metadata={
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@@ -230,26 +228,22 @@ class ExperimentConfig(ArgParsable):
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'help': 'rotation speed of the chopper disks in rpm',
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},
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)
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#yRange: Tuple[float, float]
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yRange: Tuple[float, float] = field(
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default_factory=lambda: [18, 48],
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#default=[18, 48],
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metadata={
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'short': 'y',
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'group': 'instrument settings',
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'group': 'region of interest',
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'help': 'horizontal pixel range on the detector to be used',
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},
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)
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#lambdaRange: Tuple[float, float]
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lambdaRange: Tuple[float, float] = field(
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default_factory=lambda: [3, 12.5],
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metadata={
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'short': 'l',
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'group': 'instrument settings',
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'group': 'region of interest',
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'help': 'wavelength range to be used (in angstrom)',
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},
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)
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#lowCurrentThreshold: float
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lowCurrentThreshold: float = field(
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default=50,
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metadata={
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@@ -259,13 +253,22 @@ class ExperimentConfig(ArgParsable):
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},
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)
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incidentAngle: IncidentAngle = IncidentAngle.alphaF
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#sampleModel: Optional[str] = None
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incidentAngle: str = field(
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default=IncidentAngle.alphaF,
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metadata={
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'short': 'ai',
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'group': 'instrument settings',
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'help': 'calculate alphaI = [alphaF], [mu]+kappa+delta_kappa or ([nu]+kappa+delta_kappa)/2',
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},
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)
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alphaF = 'alphaF'
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mu = 'mu'
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nu = 'nu'
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sampleModel: Optional[str] = field(
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default=None,
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metadata={
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'short': 'sm',
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'group': '?',
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'group': 'sample',
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'help': 'orso type string to describe the sample in one line',
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},
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)
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@@ -273,7 +276,7 @@ class ExperimentConfig(ArgParsable):
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default=None,
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metadata={
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'short': 'mu',
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'group': '?',
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'group': 'sample',
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'help': 'inclination of the sample surface w.r.t. the instrument horizon',
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},
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)
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@@ -281,7 +284,7 @@ class ExperimentConfig(ArgParsable):
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default=None,
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metadata={
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'short': 'nu',
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'group': '?',
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'group': 'sample',
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'help': 'inclination of the detector w.r.t. the instrument horizon',
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},
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)
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@@ -289,7 +292,7 @@ class ExperimentConfig(ArgParsable):
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default=0,
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metadata={
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'short': 'm',
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'group': '?',
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'group': 'sample',
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'help': 'correction offset for mu misalignment (mu_real = mu_file + mu_offset)',
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},
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)
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@@ -313,15 +316,15 @@ class ReductionConfig(ArgParsable):
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default=0.01,
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metadata={
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'short': 'r',
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'group': '?',
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'help': '?',
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'group': 'data manicure',
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'help': 'output resolution of q-scale Delta q / q',
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},
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)
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qzRange: Tuple[float, float] = field(
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default_factory=lambda: [0.005, 0.51],
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metadata={
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'short': 'q',
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'group': '?',
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'group': 'region of interest',
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'help': '?',
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},
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)
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@@ -329,8 +332,8 @@ class ReductionConfig(ArgParsable):
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default_factory=lambda: [-12., 12.],
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metadata={
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'short': 't',
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'group': '?',
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'help': '?',
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'group': 'region of interest',
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'help': 'absolute theta region of interest',
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},
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)
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#thetaRangeR: Tuple[float, float]
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@@ -338,8 +341,8 @@ class ReductionConfig(ArgParsable):
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default_factory=lambda: [-0.75, 0.75],
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metadata={
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'short': 'T',
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'group': '?',
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'help': '?',
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'group': 'region of interest',
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'help': 'theta region of interest w.r.t. beam center',
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},
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)
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fileIdentifier: List[str] = field(
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@@ -360,10 +363,22 @@ class ReductionConfig(ArgParsable):
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'group': 'input data',
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'help': 'normalisation method: [o]verillumination, [u]nderillumination, [d]irect_beam'})
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scale: List[float] = field(
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default_factory=lambda: [1.]
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) #per file scaling; if less elements than files use the last one
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autoscale: bool = False # TODO: This made no sense, it is used as single bool.
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default_factory=lambda: [1.],
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metadata={
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'short': 's',
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'group': 'data manicure',
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'help': '(list of) scaling factors, if less elements than files use the last one',
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},
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)
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# TODO: This made no sense, it is used as single bool.
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autoscale: Tuple[float, float] = field(
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default_factory=lambda: [None, None],
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metadata={
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'short': 'S',
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'group': 'data manicure',
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'help': '',
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},
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)
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subtract: Optional[str] = field(
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default=None,
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metadata={
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@@ -381,7 +396,7 @@ class ReductionConfig(ArgParsable):
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default_factory=lambda: [None],
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metadata={
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'short': 'ts',
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'group': '?',
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'group': 'region of interest',
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'help': 'time slizing <interval> ,[<start> [,stop]]',
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},
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)
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@@ -392,15 +407,15 @@ class OutputConfig(ArgParsable):
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default_factory=lambda: ['Rqz.ort'],
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metadata={
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'short': 'of',
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'group': '?',
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'help': '?',
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'group': 'output',
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'help': 'one of "Rqz[.ort]", "Rlt[.ort]" or both with "ort"',
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},
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)
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outputName: str = field(
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default='fromEOS',
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metadata={
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'short': 'o',
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'group': '?',
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'group': 'output',
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'help': '?',
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},
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)
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@@ -408,7 +423,7 @@ class OutputConfig(ArgParsable):
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default='.',
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metadata={
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'short': 'op',
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'group': '?',
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'group': 'output',
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'help': '?',
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},
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)
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@@ -465,7 +465,8 @@ class AmorReduction:
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if self.monitor > 1e-6 :
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ref_lz *= self.normMonitor / self.monitor
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else:
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logging.info(' low monitor -> zero output')
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logging.info(' low monitor -> nan output')
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ref_lz *= np.nan
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err_lz = ref_lz * np.sqrt( 1/(int_lz+.1) + 1/norm_lz )
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# TODO: allow for non-ideal Delta lambda / lambda (rather than 2.2%)
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