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@@ -13,7 +13,7 @@ class StateSimple(StateBase):
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super(StateSimple, self).__init__()
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if time < 0:
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raise AssertionError("time for state is negative!")
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self.time = time
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self.time = float(time)
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self.content = content
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def to_xml(self, indent: str = "") -> str:
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@@ -191,7 +191,7 @@ class Experiment:
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Typically only used in very special cases.
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"""
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self.state_list.append('<state time="%s">\n' % repr(time))
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self.state_list.append('<state time="%s">\n' % repr(float(time)))
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self.total_time[-1] += time
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## End of *state_start*
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@@ -404,10 +404,10 @@ class Experiment:
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The state length is 2 µs. Stabilisation time depends on RF source.
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:param float frequency: frequency to set in Hz
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:param float phase: phase to set
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:param float phase: phase to set, normalized to the range [0, 360)
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:param int ttls: default=0, additional ttl lines to set (integer)
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"""
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s_content = '<analogout id="0" f="%f" phase="%f"/>' % (frequency, phase)
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s_content = '<analogout id="0" f="%f" phase="%f"/>' % (frequency, phase % 360)
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if ttls != 0:
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s_content += '<ttlout value="0x%06x"/>' % ttls
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self.state_list.append(StateSimple(2e-6, s_content))
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@@ -582,8 +582,9 @@ class Experiment:
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- The state length for this command is 0.5 µs.
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- The stabilization time for the phase change is RF source dependent. A typical value for PTS310 is 2 µs.
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- The phase is relative to the initial phase set at start of the experiment.
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- Negative phases are normalized to the range [0, 360) before writing the job file.
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"""
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s_content = '<analogout phase="%f" />' % (phase)
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s_content = '<analogout phase="%f" />' % (phase % 360)
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if ttls!=0:
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s_content += '<ttlout value="%d"/>' % ttls
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self.state_list.append(StateSimple(0.5e-6, s_content))
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@@ -680,19 +681,19 @@ class Experiment:
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value=""
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elif type(value) is float or isinstance(value, numpy.floating):
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type_string="Float"
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value=repr(value)
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value=repr(float(value))
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elif type(value) is int or isinstance(value, numpy.integer):
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type_string="Int"
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value=repr(value)
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value=repr(int(value))
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elif type(value) is int:
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type_string="Long"
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value=repr(value)
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elif type(value) is complex or isinstance(value, numpy.complexfloating):
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type_string="Complex"
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value=repr(value)
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value=repr(complex(value))
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elif type(value) is bool or isinstance(value, numpy.bool_):
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type_string="Boolean"
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value=repr(value)
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value=repr(bool(value))
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elif type(value) in (str,):
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type_string="String"
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else:
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@@ -3945,7 +3945,7 @@ class MonitorWidgets:
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self.measurementresultline = None
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elif self.measurementresultline is not None:
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# clear line plot
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self.matplot_axes.lines.remove( self.measurementresultline[ 0 ] )
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self.measurementresultline[ 0 ].remove( )
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self.measurementresultline = None
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if hasattr(self, 'matplot_cursor') and self.matplot_cursor is not None:
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self.matplot_cursor.disconnect_events()
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@@ -4205,17 +4205,17 @@ class MonitorWidgets:
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# remove lines and error bars
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if self.measurementresultgraph is not None:
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self.matplot_axes.lines.remove( self.measurementresultgraph[ 0 ] )
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self.measurementresultgraph[ 0 ].remove( )
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# remove caps
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for l in self.measurementresultgraph[ 1 ]:
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self.matplot_axes.lines.remove( l )
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l.remove( )
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# and columns
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for l in self.measurementresultgraph[ 2 ]:
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self.matplot_axes.collections.remove( l )
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l.remove( )
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self.measurementresultgraph = None
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if self.measurementresultline is not None:
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self.matplot_axes.lines.remove( self.measurementresultline[ 0 ] )
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self.measurementresultline[ 0 ].remove( )
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self.measurementresultline = None
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# remove fit overlay lines
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@@ -4303,13 +4303,13 @@ class MonitorWidgets:
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# finally decide about x log plot
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if x_scale == "log10" and xmin > 0:
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self.matplot_axes.set_xscale( "log", basex=10.0 )
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self.matplot_axes.set_xscale( "log", base=10.0 )
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self.matplot_axes.fmt_xdata = lambda x: "%g" % x
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#elif x_scale=="log" and xmin>0:
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# e scaling implementation not really useful
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# self.matplot_axes.set_xscale("log", basex=numpy.e)
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if y_scale == "log10" and ymin > 0:
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self.matplot_axes.set_yscale( "log", basex=10.0 )
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self.matplot_axes.set_yscale( "log", base=10.0 )
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self.matplot_axes.fmt_ydata = lambda x: "%g" % x
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self.__rescale = False
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@@ -135,7 +135,8 @@ class ResultReader:
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elif t == "Complex":
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self.result_description[k]=complex(v)
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elif t == "Boolean":
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self.result_description[k]=bool(v)
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# bool("False") would be True, compare the text instead
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self.result_description[k]=(v == "True")
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elif t == "String":
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self.result_description[k]=v
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else:
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@@ -502,7 +503,8 @@ class ResultReader:
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elif t == "Complex":
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self.result_description[k]=complex(v)
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elif t == "Boolean":
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self.result_description[k]=bool(v)
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# bool("False") would be True, compare the text instead
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self.result_description[k]=(v == "True")
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elif t == "String":
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self.result_description[k]=v
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else:
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@@ -0,0 +1,75 @@
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import re
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import unittest
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from damaris.experiments.Experiment import Experiment
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def phase_of_state(state):
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"extracts the phase value from a state's XML content"
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match = re.search(r'phase="([-0-9.]+)"', state.content)
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assert match, "no phase in state: %s" % state.content
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return float(match.group(1))
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class TestExperimentPhase(unittest.TestCase):
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def test_set_phase_negative_normalized(self):
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"""Test that set_phase() normalizes negative phases to [0, 360)."""
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e = Experiment()
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for degrees, expected in ((-90, 270.0), (-45.5, 314.5),
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(-270, 90.0), (-360, 0.0)):
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e.set_phase(degrees)
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self.assertEqual(phase_of_state(e.state_list.list[-1]), expected)
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def test_set_phase_positive_unchanged(self):
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"""Test that set_phase() passes positive phases through unchanged."""
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e = Experiment()
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for degrees, expected in ((0, 0.0), (90, 90.0), (270, 270.0),
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(45.5, 45.5)):
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e.set_phase(degrees)
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self.assertEqual(phase_of_state(e.state_list.list[-1]), expected)
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def test_set_frequency_negative_phase_normalized(self):
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"""Test that set_frequency() normalizes a negative phase."""
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e = Experiment()
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e.set_frequency(85e6, -90)
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state = e.state_list.list[-1]
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self.assertEqual(phase_of_state(state), 270.0)
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self.assertIn('f="85000000.000000"', state.content)
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def test_rf_pulse_negative_phase_normalized(self):
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"""Test that rf_pulse() normalizes a negative pulse phase."""
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e = Experiment(gating=1e-6, rf_sources=[1], rf_gates=[2])
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e.rf_pulse(length=1e-6, phase=-90, source=0)
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self.assertEqual(phase_of_state(e.state_list.list[0]), 270.0)
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def test_numpy_scalars_in_description(self):
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"""Test that description items with numpy scalars (e.g. from lin_range)
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are written as plain numbers so the result script can parse them again."""
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import numpy as np
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from damaris.tools.ranges import lin_range
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e = Experiment()
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e.set_description("tau", lin_range(1e-6, 3e-6, 1e-6)[0])
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e.set_description("n", np.int64(42))
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xml = e.write_xml_string()
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items = {key: (typ, text)
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for key, typ, text in
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re.findall(r'<item key="([^"]+)" type="([^"]+)">([^<]*)</item>', xml)}
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self.assertEqual(items["tau"][0], "Float")
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self.assertEqual(items["n"][0], "Int")
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self.assertEqual(float(items["tau"][1]), 1e-6)
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self.assertEqual(int(items["n"][1]), 42)
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def test_numpy_scalar_state_times(self):
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"""Test that numpy scalar times do not end up as np.float64(...) in the XML."""
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import numpy as np
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e = Experiment()
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e.wait(np.float64(1e-6))
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e.state_start(np.float64(2e-6))
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xml = e.write_xml_string()
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self.assertNotIn("np.float64", xml)
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self.assertIn('<state time="1e-06"/>', xml)
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self.assertIn('<state time="2e-06">', xml)
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if __name__ == "__main__":
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unittest.main()
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Reference in new issue
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