ChunkTiming¶
- class samplomatic.quantum_program.ChunkTiming(spans: Iterable[ChunkSpan])[source]¶
Bases:
objectA collection of chunk timing information for a
QuantumProgramResult.This class is a readonly list-like containing
ChunkSpanobjects, where each span represents a single execution chunk on the backend and contains timing information and a description of which parts of theQuantumProgramwere executed in that chunk.To iterate over chunks:
chunk_timings = job.result().timing for chunk in chunk_timings: print(chunk)
To draw the timings for a single result:
chunk_timings.draw()
To draw the timings for several results on one plot:
from samplomatic.visualization.draw_chunk_timings import draw_chunk_timings draw_chunk_timings( chunk_timings1, chunk_timings2, names=["job 1", "job 2"], common_start=True, )
Attributes Summary
The total duration from first start to last stop, in seconds.
The start time of the earliest chunk, in UTC.
The stop time of the latest chunk, in UTC.
Methods Summary
draw([name, normalize_y, line_width, tz])Draw timing information on a bar plot.
Attributes Documentation
- duration¶
The total duration from first start to last stop, in seconds.
- start¶
The start time of the earliest chunk, in UTC.
- stop¶
The stop time of the latest chunk, in UTC.
Methods Documentation
- draw(name: str | None = None, normalize_y: bool = False, line_width: int = 4, tz: timezone | None = None) PlotlyFigure[source]¶
Draw timing information on a bar plot.
To draw chunk timings with additional options like
common_start, or to draw timings of several jobs on the same axis, consider callingdraw_chunk_timings()directly.- Parameters:
name – A label for this set of chunks.
normalize_y – Whether to display the y-axis units as a percentage of work complete, rather than cumulative elements completed.
line_width – The thickness of line segments.
tz – The timezone to use for displaying times.
None(default) uses the local system timezone. Passdatetime.timezone.utcto display times in UTC.
- Returns:
A plotly figure.