Please reconfirm the python version in requriments.txt

[Li-chunming]

According to my test, you have a high probability of marking the wrong python version in the requriments.txt(3.7.9), the correct configuration should be >=3.8.0.
Firstly, the Numpy==1.22.0 doesn't matching the python version.

ERROR: Ignored the following versions that require a different python version: 1.22.0 Requires-Python >=3.8; 1.22.1 Requires-Python >=3.8; 1.22.2 Requires-Python >=3.8; 1.22.3 Requires-Python >=3.8; 1.22.4 Requires-Python >=3.8; 1.23.0 Requires-Python >=3.8; 1.23.0rc1 Requires-Python >=3.8; 1.23.0rc2 Requires-Python >=3.8; 1.23.0rc3 Requires-Python >=3.8; 1.23.1 Requires-Python >=3.8; 1.23.2 Requires-Python >=3.8; 1.23.3 Requires-Python >=3.8; 1.23.4 Requires-Python >=3.8; 1.23.5 Requires-Python >=3.8; 1.24.0 Requires-Python >=3.8; 1.24.0rc1 Requires-Python >=3.8; 1.24.0rc2 Requires-Python >=3.8; 1.24.1 Requires-Python >=3.8; 1.24.2 Requires-Python >=3.8

And then, the minimum requirements of the libcpab need to be met Python >=3.8.0, or you will meet unsupported pickle protocol: 5error cause the pkl is generated in 3.8.

ERROR: Ignored the following versions that require a different python version: 1.10.0 Requires-Python <3.12,>=3.8; 1.10.0rc1 Requires-Python <3.12,>=3.8; 1.10.0rc2 Requires-Python <3.12,>=3.8; 1.10.1 Requires-Python <3.12,>=3.8; 1.8.0 Requires-Python >=3.8,<3.11; 1.8.0rc1 Requires-Python >=3.8,<3.11; 1.8.0rc2 Requires-Python >=3.8,<3.11; 1.8.0rc3 Requires-Python >=3.8,<3.11; 1.8.0rc4 Requires-Python >=3.8,<3.11; 1.8.1 Requires-Python >=3.8,<3.11; 1.9.0 Requires-Python >=3.8,<3.12; 1.9.0rc1 Requires-Python >=3.8,<3.12; 1.9.0rc2 Requires-Python >=3.8,<3.12; 1.9.0rc3 Requires-Python >=3.8,<3.12; 1.9.1 Requires-Python >=3.8,<3.12; 1.9.2 Requires-Python >=3.8; 1.9.3 Requires-Python >=3.8

Traceback (most recent call last):
File "UCR_alignment.py", line 121, in
run_UCR_alignment(args, dataset_name=args.dataset)
File "UCR_alignment.py", line 110, in run_UCR_alignment
model = train(train_loader, validation_loader, DTANargs, Experiment, print_model=True)
File "D:\Github\dtan\models\train_model.py", line 29, in train
zero_boundary=DTANargs.zero_boundary, device='gpu').to(device)
File "D:\Github\dtan\DTAN\DTAN_layer.py", line 53, in init
self.T = Cpab(tess, backend='pytorch', device=device, zero_boundary=zero_boundary, volume_perservation=False)
File "D:\Github\dtan\DTAN\libcpab\cpab.py", line 103, in init
self._dir, override)
File "D:\Github\dtan\DTAN\libcpab\core\tesselation.py", line 176, in init
zero_boundary, volume_perservation, direc, override)
File "D:\Github\dtan\DTAN\libcpab\core\tesselation.py", line 98, in init
self.dict = load_obj(self._basis_file)
File "D:\Github\dtan\DTAN\libcpab\core\utility.py", line 55, in load_obj
return pkl.load(f)
ValueError: unsupported pickle protocol: 5

And here are my successful packages-version lists:

• python 3.8.0
• matplotlib 3.3.2
• numpy 1.23.5
• pandas 1.5.3
• Pillow 9.4.0
• scikit-learn 1.2.2
• scipy 1.5.2
• seaborn 0.11.1
• torch 1.5.0
• torchvision 0.6.0
• tqdm 4.56.0
• tslearn 0.5.3.2