openprotein.predictor.PredictionResultFuture#

class openprotein.predictor.PredictionResultFuture(session, job, sequences=None)[source]#

Prediction results represented as a future.

Parameters:
  • session (APISession)

  • job (PredictJob | PredictSingleSiteJob | PredictMultiJob | PredictMultiSingleSiteJob)

  • sequences (list[bytes] | None)

__init__(session, job, sequences=None)[source]#
Parameters:
  • session (APISession)

  • job (PredictJob | PredictSingleSiteJob | PredictMultiJob | PredictMultiSingleSiteJob)

  • sequences (list[bytes] | None)

Methods

__init__(session, job[, sequences])

cancelled()

Check if the job has been cancelled.

create(session[, job_id, job, response])

Create an instance of the appropriate Future class based on the job type.

done()

Check if the job has completed.

get([verbose])

Get embedding results for specified sequence.

get_item(sequence)

Get embedding results for specified sequence.

refresh()

Refresh the job status and internal job object.

wait([interval, timeout, verbose])

Wait for the job to complete, then fetch results.

wait_until_done([interval, timeout, verbose])

Wait for the job to complete.

Attributes

created_date

The creation timestamp of the job.

end_date

The end timestamp of the job.

id

The unique identifier of the job.

job_id

The unique identifier of the job.

job_type

The type of the job.

progress_counter

The progress counter of the job.

sequences

start_date

The start timestamp of the job.

status

The current status of the job.

job

session