openprotein.fold.FoldResultFuture

class openprotein.fold.FoldResultFuture(session, job=None, metadata=None, sequences=None, max_workers=10)

Fold results represented as a future.

Parameters:

• session (APISession)

• job (FoldJob)

• metadata (FoldMetadata | None)

• sequences (list[bytes] | None)

• max_workers (int)

job

The fold job associated with this future.

Type:

FoldJob

__init__(session, job=None, metadata=None, sequences=None, max_workers=10)

Initialize a FoldResultFuture instance.

Takes in either a fold job, or the fold job metadata.

Parameters:

• session (APISession)

• job (FoldJob | None)

• metadata (FoldMetadata | None)

• sequences (list[bytes] | None)

• max_workers (int)

Methods

__init__(session[, job, metadata, ...])	Initialize a FoldResultFuture instance.
cancelled()	Check if the job has been cancelled.
create(session[, job, metadata])	Factory method to create a FoldResultFuture or FoldComplexResultFuture.
done()	Check if the job has completed.
get([verbose])	Retrieve the fold results as a list of tuples mapping sequence to PDB-encoded string.
get_item(sequence)	Get fold results for a specified sequence.
refresh()	Refresh the job status and internal job object.
stream()	Retrieve results for this job as a stream.
stream_parallel()	Stream the results in parallel using a thread pool.
stream_sync()	Stream the results synchronously.
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	Get the ID of the fold request.
job_id	The unique identifier of the job.
job_type	The type of the job.
metadata	The fold metadata.
model_id	The fold model used.
progress_counter	The progress counter of the job.
sequences	Get the sequences submitted for the fold request.
start_date	The start timestamp of the job.
status	The current status of the job.
job
session