xyzpy.gen.cropping

Functions

calc_clean_up_default_res(crop, clean_up, ...)	Logic for choosing whether to automatically clean up a crop, and what, if any, the default all-nan result should be.
check_ready_to_reap(crop, allow_incomplete, wait)
clean_slurm_outputs(job[, directory, ...])
from_pickle(s[, picklelib])
gen_cluster_script(crop, scheduler[, ...])	Generate a cluster script to grow a Crop.
gen_qsub_script(crop[, batch_ids, scheduler])	Generate a qsub script to grow a Crop.
get_picklelib([picklelib])
grow(batch_number[, crop, fn, num_workers, ...])	Automatically process a batch of cases into results.
grow_cluster(crop, scheduler[, batch_ids, ...])	Automagically submit SGE, PBS, or slurm jobs to grow all missing results.
load_crops([directory])	Automatically load all the crops found in the current directory.
manage_slurm_outputs(crop, job[, wait_time])
parse_crop_details(fn, crop_name, crop_parent)	Work out how to structure the sowed data.
parse_fn_farmer(fn, farmer)
qsub_grow(crop[, batch_ids, scheduler])	Automagically submit SGE or PBS jobs to grow all missing results.
read_from_disk(fname)
to_pickle(obj[, picklelib])
write_to_disk(obj, fname)

Classes

Crop(*[, fn, name, parent_dir, save_fn, ...])	Encapsulates all the details describing a single 'crop', that is, its location, name, and batch size/number.
Reaper(crop, num_batches[, wait, default_result])	Class that acts as a stateful function to retrieve already sown and grow results.
Sower(crop)	Class for sowing a 'crop' of batched combos to then 'grow' (on any number of workers sharing the filesystem) and then reap.