"""Global constants for all subpackages."""
# standard library packages
from os import environ, listdir
from os.path import isdir, join
from typing import Dict
# third party packages
from torch import float32
[docs]def find_datasets(path: str) -> Dict[str, str]:
"""Find all available datasets/folders in a given location.
If the path does not exist, an empty dictionary is return.
:param path: path to the folder containing the datasets
:type path: str
:return: dictionary with the keys being the folder names holding
the data and the values being the full paths to the datasets
:rtype: Dict[str, str]
"""
if not isinstance(path, str):
return dict()
if isdir(path):
datasets = listdir(path)
dataset_paths = [join(path, folder) for folder in datasets]
return dict(zip(datasets, dataset_paths))
else:
return dict()
# default data type for all PyTorch tensors
DEFAULT_DTYPE = float32
# default tolerance for comparison of floating point numbers
FLOAT_TOLERANCE = 1.0e-7
# path to flowTorch datasets
DATASET_PATH = environ.get("FLOWTORCH_DATASETS", "")
# available datasets
DATASETS = find_datasets(DATASET_PATH)