odc.stac.bench.BenchmarkContext

class odc.stac.bench.BenchmarkContext(cluster_info, npix, nbytes, dtype, shape, chunks, crs, transform, scenario='', temporal_id='', method='undefined', extras=<factory>)

Benchmark Context Metadata.

Normalized representation of the task being benchmarked and the environment it is benchmarked in.

__init__(cluster_info, npix, nbytes, dtype, shape, chunks, crs, transform, scenario='', temporal_id='', method='undefined', extras=<factory>)

Methods

__init__(cluster_info, npix, nbytes, dtype, ...)
render_timing_info(times[, col_width])	Render textual representation of timing result.
render_txt([col_width])	Render textual representation for human consumption.
to_pandas_dict()	Extract parts one would need for analysis of results.

Attributes

chunk_signature	Render textual representation of chunk shapes.
data_signature	Render textual representation of data shape and type.
method	Some human name for method, (stackstac, odc-stac, rio-xarray)
resolution	Extract resolution.
scenario	Some human name for this benchmark data
temporal_id	Time period covered by data in human readable form
cluster_info	client.scheduler_info().copy()
nworkers	Number of workers in the cluster
nthreads	Number of threads in the cluster across all workers
total_ram	Total RAM across all workers of the cluster
npix	Total number of output pixels across all bands/timeslices
nbytes	Total number of output bytes across bands/timeslices
dtype	Data type of a pixel, assumed to be the same across bands
shape	Normalized shape in time,band,y,x order
chunks	Normalized chunk size in time,band,y,x order
crs	Projection used for output
transform	Linear mapping from pixel coordinates to CRS coordinates
extras	Any other parameters to capture