pickle.dumps() 是否有详细的日志记录模式?

Question

我试图使用以下代码将大约 25000 张图像编码到一个泡菜文件中

f = open("dataset_encoding.pickle", "wb")
f.write(pickle.dumps(sampleDataset))
f.close()

Python 在我的 PC 上执行此功能会消耗大量时间，是否有用于pickle.dumps()的详细日志记录选项，以便我可以知道它仍在运行？

我在这里找不到任何东西

Answer 1

正如评论中提到的，我试图腌制一个长度为 4 的列表。为了减少每个泡菜文件的内存使用量，我决定将我的列表保存为 4 个不同的泡菜。以下是我在酸洗完成时用于打印进度条的代码：

import pickle
def printProgressBar (iteration, total, prefix = '', suffix = '', decimals = 1, length = 100, fill = '█', printEnd = "r"):
"""
Call in a loop to create terminal progress bar
@params:
iteration   - Required  : current iteration (Int)
total      - Required  : total iterations (Int)
prefix    - Optional  : prefix string (Str)
suffix    - Optional  : suffix string (Str)
decimals    - Optional  : positive number of decimals in percent complete (Int)
length    - Optional  : character length of bar (Int)
fill        - Optional  : bar fill character (Str)
printEnd    - Optional  : end character (e.g. "r", "rn") (Str)
"""
percent = ("{0:." + str(decimals) + "f}").format(100 * (iteration / float(total)))
filledLength = int(length * iteration // total)
bar = fill * filledLength + '-' * (length - filledLength)
print('r%s |%s| %s%% %s' % (prefix, bar, percent, suffix), end = printEnd)
if iteration == total: 
print() 
def verbosePickle(data_list, filename, prefix_text):
print("sampleDataset["+str(index)+"] Length :"+str(len(sample)))
with open(filename, "wb") as f:
pickle.dump(len(data_list), f)
printProgressBar(0, len(data_list)-1, prefix = prefix_text, suffix = "Complete", length = 50)
for data_index, data in enumerate(data_list):
printProgressBar(data_index, len(data_list)-1, prefix = prefix_text, suffix = "Complete", length = 50)
pickle.dump(data, f)
for index, sample in enumerate(sampleDataset):
print("Saving Pickle Files")
verbosePickle(sample, "sampleDataset"+index+".pickle", "Saving pickle "+index+" :")

标准输出 ：

节省泡菜 0 ： |█████████████████████-----------------------------|44.0% 完成