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- #!/usr/bin/env python3
- # -*- coding: utf-8 -*-
- """
- Created on Tue Dec 11 11:39:46 2018
- Parallel aid functions.
- @author: ljia
- """
- import multiprocessing
- from multiprocessing import Pool
- from tqdm import tqdm
- import sys
-
- def parallel_me(func, func_assign, var_to_assign, itr, len_itr=None, init_worker=None,
- glbv=None, method=None, n_jobs=None, chunksize=None, itr_desc=''):
- '''
- '''
- if method == 'imap_unordered':
- if glbv: # global varibles required.
- # def init_worker(v_share):
- # global G_var
- # G_var = v_share
-
- with Pool(processes=n_jobs, initializer=init_worker,
- initargs=glbv) as pool:
- if n_jobs == None:
- n_jobs = multiprocessing.cpu_count()
- if chunksize == None:
- if len_itr < 100 * n_jobs:
- chunksize = int(len_itr / n_jobs) + 1
- else:
- chunksize = 100
- for result in tqdm(pool.imap_unordered(func, itr, chunksize),
- desc=itr_desc, file=sys.stdout):
- func_assign(result, var_to_assign)
- else:
- with Pool(processes=n_jobs) as pool:
- if n_jobs == None:
- n_jobs = multiprocessing.cpu_count()
- if chunksize == None:
- if len_itr < 100 * n_jobs:
- chunksize = int(len_itr / n_jobs) + 1
- else:
- chunksize = 100
- for result in tqdm(pool.imap_unordered(func, itr, chunksize),
- desc=itr_desc, file=sys.stdout):
- func_assign(result, var_to_assign)
-
-
-
- def parallel_gm(func, Kmatrix, Gn, init_worker=None, glbv=None,
- method='imap_unordered', n_jobs=None, chunksize=None):
- from itertools import combinations_with_replacement
- def func_assign(result, var_to_assign):
- var_to_assign[result[0]][result[1]] = result[2]
- var_to_assign[result[1]][result[0]] = result[2]
- itr = combinations_with_replacement(range(0, len(Gn)), 2)
- len_itr = int(len(Gn) * (len(Gn) + 1) / 2)
- parallel_me(func, func_assign, Kmatrix, itr, len_itr=len_itr,
- init_worker=init_worker, glbv=glbv, method=method, n_jobs=n_jobs,
- chunksize=chunksize, itr_desc='calculating kernels')
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