leonarski_fandClaude Opus 5
7c00731992
docs/python_client is tracked and is what readthedocs publishes, but it is generated - update_version.sh copies it out of python-client after regenerating the client - so adding schemas to the spec left it four files behind. The README's model list did not name them and their pages did not exist. Copied the way update_version.sh copies them. The four new pages and four lines in the README, nothing else: the generator's README is built from the spec, so the stale Calibration* pages it had left on disk under the old names are absent from it and were removed before copying rather than published alongside their replacements. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NfuDvf5ipV3Hi8TiCUKD27
1.8 KiB
1.8 KiB
PowderCalibrationOutput
The result of a powder-ring detector calibration - what rugnux --mode calibration writes as .json, and what a calibration run over the image buffer would return. dataset_settings holds the geometry and nothing else, under the property names this API gives them, so it can be POSTed or merged without translating a field. Its beam_x_pxl/beam_y_pxl is the PONI, the foot of the perpendicular from the sample; where the beam actually lands is calibration.direct_beam_x_pxl. The poni_rot*_rad are present whenever any of them is non-zero and absent when all are zero, since a body omitting them states a FLAT detector rather than an unstated one.
Properties
| Name | Type | Description | Notes |
|---|---|---|---|
| dataset_settings | DatasetSettings | ||
| calibration | PowderCalibrationQuality | [optional] | |
| jfjoch_version | str | Version of the program that produced this | [optional] |
Example
from jfjoch_client.models.powder_calibration_output import PowderCalibrationOutput
# TODO update the JSON string below
json = "{}"
# create an instance of PowderCalibrationOutput from a JSON string
powder_calibration_output_instance = PowderCalibrationOutput.from_json(json)
# print the JSON string representation of the object
print(PowderCalibrationOutput.to_json())
# convert the object into a dict
powder_calibration_output_dict = powder_calibration_output_instance.to_dict()
# create an instance of PowderCalibrationOutput from a dict
powder_calibration_output_from_dict = PowderCalibrationOutput.from_dict(powder_calibration_output_dict)