[pre-commit.ci] auto fixes from pre-commit.com hooks

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src/dials/algorithms/scaling/scaleit.py

@@ -1,29 +1,32 @@
+from __future__ import annotations
+
 mtz1 = "merged_3.mtz"
 mtz2 = "merged_1.mtz"
 expts = "scaled.expt"
 
 anomalous = False
 
-from dials.array_family import flex
 from dxtbx.model import Experiment, ExperimentList
-from dials.util.reference import intensities_from_reference_data_file
-from iotbx.mtz.crystal_symmetry_from_mtz import extract_from
-from dxtbx.model import Crystal
-from iotbx import mtz
 from dxtbx.serialize import load
+
+from dials.array_family import flex
+from dials.util.reference import intensities_from_reference_data_file
+
 elist = load.experiment_list(expts)
+import logging
 from copy import deepcopy
-from unittest.mock import Mock
-from dials.algorithms.scaling.model.model import KBScalingModel
+
 from dxtbx.util import ersatz_uuid4
+from libtbx import phil
 
-from dials.util.options import ArgumentParser
-from libtbx import Auto, phil
-import logging
+from dials.algorithms.scaling.model.model import KBScalingModel
 from dials.util import log
+from dials.util.options import ArgumentParser
+
 log.config()
 logger = logging.getLogger("dials")
 
+
 def datafiles_from_mtz(mtzfile, id_=0):
     intensities = intensities_from_reference_data_file(mtzfile)
     if anomalous:
@@ -52,24 +55,25 @@ def datafiles_from_mtz(mtzfile, id_=0):
     params.model = "KB"
     params.KB.decay_correction = False
     expt.scaling_model = KBScalingModel.from_data(params, [], [])
-    #expt.scaling_model.set_scaling_model_as_scaled()  # Set as scaled to fix scale.
+    # expt.scaling_model.set_scaling_model_as_scaled()  # Set as scaled to fix scale.
     expt.identifier = ersatz_uuid4()
     table.experiment_identifiers()[id_] = expt.identifier
     return table, expt
 
-t1,e1 = datafiles_from_mtz(mtz1, 0)
+
+t1, e1 = datafiles_from_mtz(mtz1, 0)
 e1 = ExperimentList([e1])
-t2,e2 = datafiles_from_mtz(mtz2, 1)
+t2, e2 = datafiles_from_mtz(mtz2, 1)
 e2 = ExperimentList([e2])
 t1["intensity.sum.value"] = t1["intensity"]
 t1["intensity.sum.variance"] = t1["variance"]
 t2["intensity.sum.value"] = t2["intensity"]
 t2["intensity.sum.variance"] = t2["variance"]
 from dials.algorithms.scaling.scaling_library import scale_against_target
 
-result = scale_against_target(t1,e1,t2,e2)
+result = scale_against_target(t1, e1, t2, e2)
 print(e1.scaling_models()[0].to_dict())
 print(e1.scaling_models()[1].to_dict())
 
 
-print("done")
+print("done")