Utility cleanup
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4b9f0a8c36
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@ -38,7 +38,6 @@ from bokeh.models import (
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Spinner,
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TableColumn,
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TextAreaInput,
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TextInput,
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WheelZoomTool,
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Whisker,
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)
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@ -202,7 +201,7 @@ def create():
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def monitor_spinner_callback(_attr, old, new):
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if det_data:
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pyzebra.normalize_dataset(det_data, new)
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_update_plot(_get_selected_scan())
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_update_plot()
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monitor_spinner = Spinner(title="Monitor:", mode="int", value=100_000, low=1, width=145)
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monitor_spinner.on_change("value", monitor_spinner_callback)
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@ -212,7 +211,8 @@ def create():
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export = [scan.get("active", True) for scan in det_data]
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scan_table_source.data.update(fit=fit_ok, export=export)
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def _update_plot(scan):
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def _update_plot():
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scan = _get_selected_scan()
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scan_motor = scan["scan_motor"]
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y = scan["counts"]
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@ -322,13 +322,14 @@ def create():
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# skip unnecessary update caused by selection drop
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return
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_update_plot(det_data[new[0]])
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_update_plot()
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def scan_table_source_callback(_attr, _old, _new):
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_update_preview()
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scan_table_source = ColumnDataSource(dict(scan=[], hkl=[], fit=[], export=[]))
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scan_table_source.on_change("data", scan_table_source_callback)
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scan_table_source.selected.on_change("indices", scan_table_select_callback)
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scan_table = DataTable(
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source=scan_table_source,
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@ -344,8 +345,6 @@ def create():
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editable=True,
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)
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scan_table_source.selected.on_change("indices", scan_table_select_callback)
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def _get_selected_scan():
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return det_data[scan_table_source.selected.indices[0]]
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@ -361,7 +360,7 @@ def create():
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pyzebra.merge_scans(scan_into, scan_from)
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_update_datatable()
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_update_plot(_get_selected_scan())
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_update_plot()
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merge_button = Button(label="Merge into current", width=145)
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merge_button.on_click(merge_button_callback)
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@ -369,7 +368,7 @@ def create():
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def restore_button_callback():
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pyzebra.restore_scan(_get_selected_scan())
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_update_datatable()
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_update_plot(_get_selected_scan())
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_update_plot()
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restore_button = Button(label="Restore scan", width=145)
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restore_button.on_click(restore_button_callback)
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@ -505,7 +504,7 @@ def create():
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lorentz=lorentz_checkbox.active,
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)
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_update_plot(_get_selected_scan())
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_update_plot()
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_update_datatable()
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proc_all_button = Button(label="Process All", button_type="primary", width=145)
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@ -522,7 +521,7 @@ def create():
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lorentz=lorentz_checkbox.active,
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)
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_update_plot(scan)
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_update_plot()
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_update_datatable()
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proc_button = Button(label="Process Current", width=145)
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@ -33,7 +33,6 @@ from bokeh.models import (
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Spinner,
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TableColumn,
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Tabs,
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TextInput,
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Title,
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WheelZoomTool,
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)
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@ -198,7 +197,16 @@ def create():
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else: # zebra_mode == "bi"
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metadata_table_source.data.update(geom=["bisecting"])
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update_image(0)
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if "mf" in det_data:
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metadata_table_source.data.update(mf=[det_data["mf"][0]])
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else:
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metadata_table_source.data.update(mf=[None])
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if "temp" in det_data:
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metadata_table_source.data.update(temp=[det_data["temp"][0]])
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else:
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metadata_table_source.data.update(temp=[None])
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update_overview_plot()
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def scan_table_source_callback(_attr, _old, _new):
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@ -247,17 +255,6 @@ def create():
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)
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param_select.on_change("value", param_select_callback)
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def update_image(index=None):
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if "mf" in det_data:
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metadata_table_source.data.update(mf=[det_data["mf"][index]])
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else:
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metadata_table_source.data.update(mf=[None])
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if "temp" in det_data:
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metadata_table_source.data.update(temp=[det_data["temp"][index]])
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else:
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metadata_table_source.data.update(temp=[None])
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def update_overview_plot():
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h5_data = det_data["data"]
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n_im, n_y, n_x = h5_data.shape
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@ -37,7 +37,6 @@ from bokeh.models import (
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Spacer,
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Spinner,
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TableColumn,
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TextInput,
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Title,
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WheelZoomTool,
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)
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@ -42,7 +42,6 @@ from bokeh.models import (
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TableColumn,
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Tabs,
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TextAreaInput,
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TextInput,
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WheelZoomTool,
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Whisker,
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)
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@ -237,10 +236,11 @@ def create():
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scan_table_source.data.update(fit=fit_ok)
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def _update_plot():
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_update_single_scan_plot(_get_selected_scan())
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_update_single_scan_plot()
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_update_overview()
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def _update_single_scan_plot(scan):
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def _update_single_scan_plot():
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scan = _get_selected_scan()
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scan_motor = scan["scan_motor"]
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y = scan["counts"]
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@ -488,6 +488,7 @@ def create():
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scan_table_source = ColumnDataSource(dict(file=[], scan=[], param=[], fit=[], export=[]))
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scan_table_source.on_change("data", scan_table_source_callback)
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scan_table_source.selected.on_change("indices", scan_table_select_callback)
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scan_table = DataTable(
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source=scan_table_source,
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@ -503,13 +504,6 @@ def create():
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autosize_mode="none",
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)
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def scan_table_source_callback(_attr, _old, _new):
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if scan_table_source.selected.indices:
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_update_plot()
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scan_table_source.selected.on_change("indices", scan_table_select_callback)
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scan_table_source.on_change("data", scan_table_source_callback)
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def _get_selected_scan():
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return det_data[scan_table_source.selected.indices[0]]
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@ -1,4 +1,3 @@
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import itertools
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import os
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import numpy as np
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