Python常用函数及常用库整理笔记

class X(object):
    def __init__(self, a, b, range):
        self.a = a
        self.b = b
        self.range = range
    def __del__(self, a, b, range):
        del self.a
        del self.b
        del self.range
    def __call__(self, a, b):
        self.a = a
        self.b = b
        print('__call__ with （{}, {}）'.format(self.a, self.b))
 
 
>>> xInstance = X(1, 2, 3)
>>> xInstance(1,2)
__call__ with (1, 2)
>>> del X

elements = ('foo', 'bar', 'baz')
>>> for elem in elements:
...     print elem
... 
foo
bar
baz
>>> for count, elem in enumerate(elements):
...     print count, elem
... 
0 foo
1 bar
2 baz
>>> for count, elem in enumerate(elements, 42):
...     print count, elem
... 
42 foo
43 bar
44 baz

#对序列进行操作（分别使用' '与':'作为分隔符）
>>> seq1 = ['hello','good','boy','doiido']
>>> print(' '.join(seq1))
hello good boy doiido
>>> print(':'.join(seq1))
hello:good:boy:doiido
 
 
#对字符串进行操作
>>> seq2 = "hello good boy doiido"
>>> print(':'.join(seq2))
h:e:l:l:o: :g:o:o:d: :b:o:y: :d:o:i:i:d:o
 
#对元组进行操作
>>> seq3 = ('hello','good','boy','doiido')
>>> print(':'.join(seq3))
hello:good:boy:doiido
 
#对字典进行操作
>>> seq4 = {'hello':1,'good':2,'boy':3,'doiido':4}
>>> print(':'.join(seq4))
boy:good:doiido:hello

class tqdm(object):
  """
  Decorate an iterable object, returning an iterator which acts exactly
  like the original iterable, but prints a dynamically updating
  progressbar every time a value is requested.
  """
 
  def __init__(self, iterable=None, desc=None, total=None, leave=False,
               file=sys.stderr, ncols=None, mininterval=0.1,
               maxinterval=10.0, miniters=None, ascii=None,
               disable=False, unit='it', unit_scale=False,
               dynamic_ncols=False, smoothing=0.3, nested=False,
               bar_format=None, initial=0, gui=False):

import time
from tqdm import tqdm, trange
 
#trange(i)是tqdm(range(i))的一种简单写法
for i in trange(100):
    time.sleep(0.05)
 
for i in tqdm(range(100), desc='Processing'):
    time.sleep(0.05)
 
dic = ['a', 'b', 'c', 'd', 'e']
pbar = tqdm(dic)
for i in pbar:
    pbar.set_description('Processing '+i)
    time.sleep(0.2)
100%|██████████| 100/100 [00:06<00:00, 16.04it/s]
Processing: 100%|██████████| 100/100 [00:06<00:00, 16.05it/s]
Processing e: 100%|██████████| 5/5 [00:01<00:00,  4.69it/s]

import time
from tqdm import tqdm
 
with tqdm(total=200) as pbar:
    pbar.set_description('Processing:')
    # total表示总的项目, 循环的次数20*10(每次更新数目) = 200(total)
    for i in range(20):
        # 进行动作, 这里是过0.1s
        time.sleep(0.1)
        # 进行进度更新, 这里设置10个
        pbar.update(10)
Processing:: 100%|██████████| 200/200 [00:02<00:00, 91.94it/s]

# my_project/config.py
from yacs.config import CfgNode as CN
 
 
_C = CN()
 
_C.SYSTEM = CN()
# Number of GPUS to use in the experiment
_C.SYSTEM.NUM_GPUS = 8
# Number of workers for doing things
_C.SYSTEM.NUM_WORKERS = 4
 
_C.TRAIN = CN()
# A very important hyperparameter
_C.TRAIN.HYPERPARAMETER_1 = 0.1
# The all important scales for the stuff
_C.TRAIN.SCALES = (2, 4, 8, 16)
 
 
def get_cfg_defaults():
  """Get a yacs CfgNode object with default values for my_project."""
  # Return a clone so that the defaults will not be altered
  # This is for the "local variable" use pattern
  return _C.clone()
 
# Alternatively, provide a way to import the defaults as
# a global singleton:
# cfg = _C  # users can `from config import cfg`

GPUS: (0,1,2,3)
OUTPUT_DIR: 'output'
CUDNN:
  ENABLED: true
 
MODEL:
  NAME: 'yolo'
  PRETRAINED: 'xx.pth'
  EXTRA:
    FINAL_CONV_KERNEL: 1
    STAGE2:
      NUM_MODULES: 1

import os
 
from yacs.config import CfgNode as CN
 
class config():
 
    def __init__(self):
        self.cfg = CN()
     
        self.cfg.GPUS= (0,1,2,3)
        self.cfg.OUTPUT_DIR= 'output'
        self.cfg.CUDNN=CN()
        self.cfg.CUDNN.ENABLED=True
        self.cfg.MODEL=CN()
        self.cfg.MODEL.NAME=''
        self.cfg.MODEL.PRETRAINED=''
        self.cfg.MODEL.EXTRA=CN()
        self.cfg.MODEL.EXTRA.FINAL_CONV_KERNEL=0
        
        self.cfg.MODEL.EXTRA.STAGE2=CN()
        self.cfg.MODEL.EXTRA.STAGE2.NUM_MODULES=0
    
    def get_cfg(self):
        return  self.cfg.clone()
    
    def load(self,config_file):
         self.cfg.OUTPUT_DIR = ''
         self.cfg.defrost()
         self.cfg.merge_from_file(config_file)
         self.cfg.freeze()
if __name__ == '__main__':
    cc=config()
    cc.load("test.yaml")
    print(cc.cfg)
    print(cc.get_defalut_cfg())

import logging
def setLog():
	log_file = 'L:/log/console.log'
	head = '%(asctime)-15s %(message)s'
	logging.basicConfig(filename=str(log_file), format=head)
 
	logger = logging.getLogger()
	logger.setLevel(logging.INFO)
 
	console = logging.StreamHandler()
	logging.getLogger('').addHandler(console)
    
    return logger
if __name__ == '__main__':
	logger = setLog()
 
    logger.info('input message')