starmap

Multiprocessing for creating objects + calling functions using starmap() Python

由 情到浓时终转凉″ 提交于 2020-07-22 05:50:41
问题 I would like to create objects of class Training and create multiple processes which call the print() function. I have a class Training : class Training(): def __init__(self, param1, param2): self.param1 = param1 self.param2 = param2 def print(self): print(self.param1) print(self.param2) I have tried to use the starmap function to create 5 processes in the following way: import multiprocessing as mp num_devices = 5 func_args = [] for i in range (0, num_devices): func_args.append((i, i*10))

How to use boto3 client with Python multiprocessing?

由 主宰稳场 提交于 2019-12-22 09:44:55
问题 Code looks something like this: import multiprocessing as mp from functools import partial import boto3 import numpy as np s3 = boto3.client('s3') def _something(**kwargs): # Some mixed integer programming stuff related to the variable archive return np.array(some_variable_related_to_archive) def do(s3): archive = np.load(s3.get_object('some_key')) # Simplified -- details not relevant pool = mp.pool() sub_process = partial(_something, slack=0.1) parts = np.array_split(archive, some_int)

Terminate all processes when condition is met

由 佐手、 提交于 2019-12-10 17:53:12
问题 I am using starmap to run testing function. Whats the best/safest way to terminate all processes when a process first finds the permutation [5,2,4,3,1]? import multiprocessing as mp import time def testing(lts): # code .... start_time = time.time() for x in range(1,500000): gg = [1,2,3,4,5] random.shuffle(gg) ### if gg==[5,2,4,3,1] terminate all processes total_time = time.time() - start_time return total_time if __name__ == '__main__': with mp.Pool(processes=4) as pool: ret = pool.starmap

How to use boto3 client with Python multiprocessing?

由 五迷三道 提交于 2019-12-05 15:45:25
Code looks something like this: import multiprocessing as mp from functools import partial import boto3 import numpy as np s3 = boto3.client('s3') def _something(**kwargs): # Some mixed integer programming stuff related to the variable archive return np.array(some_variable_related_to_archive) def do(s3): archive = np.load(s3.get_object('some_key')) # Simplified -- details not relevant pool = mp.pool() sub_process = partial(_something, slack=0.1) parts = np.array_split(archive, some_int) target_parts = np.array(things) out = pool.starmap(sub_process, [x for x in zip(parts, target_parts)] #

python struct.error: 'i' format requires -2147483648 <= number <= 2147483647

由 只愿长相守 提交于 2019-11-28 11:59:56
Problem I'm willing to do a feature engineering using multiprocessing module (multiprocessing.Pool.starmap() . However, it gives an error message as follows. I guess this error message is about the size of inputs (2147483647 = 2^31 − 1?), since the same code worked smoothly for a fraction (frac=0.05) of input dataframes(train_scala, test, ts). I convert types of data frame as smallest as possible, however it does not get better. The anaconda version is 4.3.30 and the Python version is 3.6 (64 bit). And the memory size of the system is over 128GB with more than 20 cores. Would you like to

python struct.error: 'i' format requires -2147483648 <= number <= 2147483647

由 丶灬走出姿态 提交于 2019-11-27 05:57:37
问题 Problem I'm willing to do a feature engineering using multiprocessing module (multiprocessing.Pool.starmap() . However, it gives an error message as follows. I guess this error message is about the size of inputs (2147483647 = 2^31 − 1?), since the same code worked smoothly for a fraction (frac=0.05) of input dataframes(train_scala, test, ts). I convert types of data frame as smallest as possible, however it does not get better. The anaconda version is 4.3.30 and the Python version is 3.6 (64
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