ProcessionTools

• You can install this package using pip.

pip install processingtools

ProgressBar

import processingtools as pt
import time


for i in pt.ProgressBar(range(50)):
    time.sleep(0.1)

or

import processingtools as pt
import time


for i in pt.ProgressBar(range(50), bar_length=40, start_mark=None, finish_mark='progress done!', total=False):
    time.sleep(0.1)

Then,

|████████████████████████████████████████| 100.0% | 50/50 | 0s |  
progress finished!(5311ms)

parameters

class　pt.ProgressBar(in_loop, bar_length: int = 40, start_mark: str = None, finish_mark='progress done!', total: int = None, detail_func: callable = None)

• in_loop: the input loop
• bar_length: bar length
• start_mark: print string when the progress start
• finish_mark: print string what you want when progress finish
• total: total value. If you do not fill this, it will calculate automatically, but it may be slow
• detail_func: write detail using detail_func
• remove_last: If True, remove last progressbar

EnvRecoder

import processingtools as pt
import argparse


parser = argparse.ArgumentParser()
parser.add_argument('--save_path', type=str)
args = parser.parse_args()

recoder = pt.EnvReco('/save/path')

args = recoder.arg2abs(args)
recoder.record_arg(args)
recoder.record_code()
recoder.record_os()
recoder.record_gpu()
recoder.put_space()
recoder.print('record logs')

Then, record information in the log file

Args: 
{
    save_path: None
}

OS Env: 
{
    ALLUSERSPROFILE: ...
    APPDATA: ...
    COMMONPROGRAMFILES: ...
    ⋮
}

GPU Info: 
{
    cuda: True
    num: 1
    names: ['...']
}

[2023-7-3 19:50:9.78]: record logs