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请问dataset.py文件的refresh方法的作用是什么？
https://github.com/Ringbo/Cache/blob/master/source/model/dataset.py
refresh方法
该方法会把三维矩阵的第二维（长度是360）顺序打乱，第二维不是buggy_res + fixed_res + tree_context的长度吗？另外请问为什么要前后半分别打乱呢？maxPathLength//2
谢谢
def refresh(self):
randnum = random.randint(1, 1e8)
maxPathLength = self.starts.size(1)
np.random.seed(randnum)
list(map(np.random.shuffle, self.starts.numpy()[:, : maxPathLength//2]))
np.random.seed(randnum)
list(map(np.random.shuffle, self.starts.numpy()[:, maxPathLength//2:]))
np.random.seed(randnum)
list(map(np.random.shuffle, self.paths.numpy()[:, : maxPathLength//2]))
np.random.seed(randnum)
list(map(np.random.shuffle, self.paths.numpy()[:, maxPathLength//2:]))
np.random.seed(randnum)
list(map(np.random.shuffle, self.ends.numpy()[:, : maxPathLength//2]))
np.random.seed(randnum)
list(map(np.random.shuffle, self.ends.numpy()[:, maxPathLength//2:]))
np.random.seed(randnum)
list(map(np.random.shuffle, self.paths_length.numpy()[:, : maxPathLength//2]))
np.random.seed(randnum)
list(map(np.random.shuffle, self.paths_length.numpy()[:, maxPathLength//2:]))
np.random.seed(randnum)
list(map(np.random.shuffle, self.raw_paths.numpy()[:, : maxPathLength//2]))
np.random.seed(randnum)
list(map(np.random.shuffle, self.raw_paths.numpy()[:, maxPathLength//2:]))
# np.random.seed(randnum)
# list(map(np.random.shuffle, self.labels_indicator))
# self.labels = torch.from_numpy(np.where(self.labels_indicator == True)[1])
How to process the ./patches with the ./Preprocessing/genOverfittingPatches.py ?
How to process the ./patches with the ./Preprocessing/genOverfittingPatches.py?
I think some important preprocessing scripts are missing here.
Error: AttributeError: 'NoneType' object has no attribute 'location'
Hi. When I'm trying to run main.py, the following error occurs:
Traceback (most recent call last):
File "/home/Cache/source/main.py", line 286, in <module>
main(args)
File "/home/Cache/source/main.py", line 282, in main
train()
File "/home/Cache/source/main.py", line 98, in train
reader = DatasetReader(args.dataset_path + "path_contexts.csv", args.dataset_path + "paths.csv",
File "/home/Cache/source/model/dataset_reader_binary.py", line 76, in __init__
self.load(corpus_path, testFlag)
File "/home/Cache/source/model/dataset_reader_binary.py", line 104, in load
if self.last_item.location == "/".join(fileInfo[:-1]):
AttributeError: 'NoneType' object has no attribute 'location'
I would appreciate your help.
关于genOverfittingPatches.py无法处理patches/Large/correct/Many下补丁的问题
您好，我在运行genOverfittingPatches.py时，发现该代码无法处理patches/Large/correct/Many下的补丁。请问应该如何解决？谢谢
Reproduce dataset
Hi authors, your work is interesting. I am newbie in this field and I am recreating the method dataset.
Could you please guide me how to generate the correct part of the large dataset? Can your provided script generate the correct samples?
Thank you.
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