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David Rotermund 2024-02-23 14:37:09 +01:00 committed by GitHub
parent 621d188c87
commit 840bae8628
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3 changed files with 55 additions and 0 deletions

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import torch
import os
import glob
@torch.no_grad()
def get_experiments(path: str) -> torch.Tensor:
filename_np: str = os.path.join(
path,
"Exp*_Part001.npy",
)
list_str = glob.glob(filename_np)
list_int: list[int] = []
for i in range(0, len(list_str)):
list_int.append(int(list_str[i].split("Exp")[-1].split("_Trial")[0]))
list_int = sorted(list_int)
return torch.tensor(list_int).unique()

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import torch
import os
import glob
@torch.no_grad()
def get_parts(path: str, experiment_id: int, trial_id: int) -> torch.Tensor:
filename_np: str = os.path.join(
path,
f"Exp{experiment_id:03d}_Trial{trial_id:03d}_Part*.npy",
)
list_str = glob.glob(filename_np)
list_int: list[int] = []
for i in range(0, len(list_str)):
list_int.append(int(list_str[i].split("_Part")[-1].split(".npy")[0]))
list_int = sorted(list_int)
return torch.tensor(list_int).unique()

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import torch
import os
import glob
@torch.no_grad()
def get_trials(path: str, experiment_id: int) -> torch.Tensor:
filename_np: str = os.path.join(
path,
f"Exp{experiment_id:03d}_Trial*_Part001.npy",
)
list_str = glob.glob(filename_np)
list_int: list[int] = []
for i in range(0, len(list_str)):
list_int.append(int(list_str[i].split("_Trial")[-1].split("_Part")[0]))
list_int = sorted(list_int)
return torch.tensor(list_int).unique()