torchsig.utils.file_handlers

TorchSig File Handlers

base_handler	File Handler Base and Utility Classes for reading and writing datasets to/from disk.
hdf5	HDF5 File Handler for TorchSig datasets.
npy	torchsig.utils.file_handlers.npy File-handler that exposes a directory of standard NumPy .npy files as a TorchSig Signal dataset. A TorchSig dataset is described by three co-located artefacts: * One or more ``.npy`` files - each file stores a 1-D NumPy array of :7: (ERROR/3) Unexpected indentation. complex samples. :8: (WARNING/2) Block quote ends without a blank line; unexpected unindent. A metadata.csv file - one row per global waveform index, containing index,label,modcod,sample_rate. An info.json file - a tiny JSON document that must contain at least {"size": <int>} and defines the advertised length of the dataset. :12: (WARNING/2) Bullet list ends without a blank line; unexpected unindent. The heavy binary payload lives in the *.npy files; the human-readable description lives in the CSV. This separation keeps loading fast (memory-mapped NumPy) while allowing easy inspection and editing of labels, modulation codes, etc.