Deepak Mallubhotla
a731a81c6a
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78 lines
1.6 KiB
Python
78 lines
1.6 KiB
Python
import logging
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from tantri.dipoles.types import Orientation
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import kalpaa.config
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from pdme.model import (
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LogSpacedRandomCountMultipleDipoleFixedMagnitudeModel,
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LogSpacedRandomCountMultipleDipoleFixedMagnitudeXYModel,
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LogSpacedRandomCountMultipleDipoleFixedMagnitudeFixedOrientationModel,
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)
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_logger = logging.getLogger(__name__)
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def long_orientation_name(orientation: Orientation) -> str:
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return {
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Orientation.RANDOM: "free",
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Orientation.XY: "fixedxy",
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Orientation.Z: "fixedz",
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}[orientation]
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def _fixed_z_model_func(
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xmin,
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xmax,
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ymin,
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ymax,
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zmin,
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zmax,
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wexp_min,
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wexp_max,
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pfixed,
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n_max,
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prob_occupancy,
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):
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return LogSpacedRandomCountMultipleDipoleFixedMagnitudeFixedOrientationModel(
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xmin,
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xmax,
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ymin,
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ymax,
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zmin,
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zmax,
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wexp_min,
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wexp_max,
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pfixed,
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0,
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0,
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n_max,
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prob_occupancy,
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)
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def get_model(params: kalpaa.config.ReducedModelParams):
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model_funcs = {
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Orientation.Z: _fixed_z_model_func,
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Orientation.RANDOM: LogSpacedRandomCountMultipleDipoleFixedMagnitudeModel,
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Orientation.XY: LogSpacedRandomCountMultipleDipoleFixedMagnitudeXYModel,
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}
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_logger.info(f"Got params that look like {params=}")
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_logger.info(f"Got params that look like {params=}")
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model = model_funcs[params.orientation](
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params.x_min,
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params.x_max,
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params.y_min,
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params.y_max,
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params.z_min,
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params.z_max,
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params.w_log_min,
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params.w_log_max,
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10**params.log_magnitude,
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params.count,
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0.99999999,
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)
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return (
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f"geom_{model.xmin}_{model.xmax}_{model.ymin}_{model.ymax}_{model.zmin}_{model.zmax}-magnitude_{params.log_magnitude}-orientation_{long_orientation_name(params.orientation)}-dipole_count_{params.count}",
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model,
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)
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