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from datetime import datetime
import numpy as np
from orsopy import fileio
def main():
info = fileio.Orso.empty()
info2 = fileio.Orso.empty()
data = np.zeros((100, 3))
data[:] = np.arange(100.0)[:, None]
info.columns = [
fileio.Column("Qz", "1/angstrom"),
fileio.Column("R"),
fileio.ErrorColumn("R"),
]
info2.columns = info.columns
info.data_source.measurement.instrument_settings.polarization = "po"
info2.data_source.measurement.instrument_settings.polarization = "mo"
info.data_set = "up polarization"
info2.data_set = "down polarization"
info2.data_source.sample.comment = "this is a comment"
ds = fileio.OrsoDataset(info, data)
ds2 = fileio.OrsoDataset(info2, data)
info3 = fileio.Orso(
creator=fileio.Creator(
name="Artur Glavic", affiliation="Paul Scherrer Institut", time=datetime.now(), computer="localhost"
),
data_source=fileio.DataSource(
sample=fileio.Sample(name="My Sample", type="solid", description="Something descriptive",),
experiment=fileio.Experiment(
title="Main experiment", instrument="Reflectometer", date=datetime.now(), probe="x-ray",
),
owner=fileio.Person("someone", "important"),
measurement=fileio.Measurement(
instrument_settings=fileio.InstrumentSettings(
incident_angle=fileio.Value(13.4, "deg"), wavelength=fileio.Value(5.34, "A")
),
data_files=["abc", "def", "ghi"],
references=["more", "files"],
scheme="angle-dispersive",
),
),
reduction=fileio.Reduction(software="awesome orso"),
data_set="Filled header",
columns=info.columns,
)
ds3 = fileio.OrsoDataset(info3, data)
fileio.save_orso([ds, ds2, ds3], "test.ort")
ls1, ls2, ls3 = fileio.load_orso("test.ort")
print(ls1 == ds, ls2 == ds2, ls3 == ds3)
if __name__ == "__main__":
main()
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