ai-content-maker/.venv/Lib/site-packages/imageio/plugins/npz.py

86 lines
2.6 KiB
Python

# -*- coding: utf-8 -*-
# imageio is distributed under the terms of the (new) BSD License.
"""Read/Write NPZ files.
Backend: `Numpy <https://numpy.org/doc/stable/reference/generated/numpy.savez.html>`_
NPZ is a file format by numpy that provides storage of array data using gzip
compression. This imageio plugin supports data of any shape, and also supports
multiple images per file. However, the npz format does not provide streaming;
all data is read/written at once. Further, there is no support for meta data.
See the BSDF format for a similar (but more fully featured) format.
Parameters
----------
None
Notes
-----
This format is not available on Pypy.
"""
import numpy as np
from ..core import Format
class NpzFormat(Format):
"""See :mod:`imageio.plugins.npz`"""
def _can_read(self, request):
# We support any kind of image data
return request.extension in self.extensions
def _can_write(self, request):
# We support any kind of image data
return request.extension in self.extensions
# -- reader
class Reader(Format.Reader):
def _open(self):
# Load npz file, which provides another file like object
self._npz = np.load(self.request.get_file())
assert isinstance(self._npz, np.lib.npyio.NpzFile)
# Get list of names, ordered by name, but smarter
self._names = sorted(self._npz.files, key=lambda x: x.split("_")[-1])
def _close(self):
self._npz.close()
def _get_length(self):
return len(self._names)
def _get_data(self, index):
# Get data
if index < 0 or index >= len(self._names):
raise IndexError("Index out of range while reading from nzp")
im = self._npz[self._names[index]]
# Return array and empty meta data
return im, {}
def _get_meta_data(self, index):
# Get the meta data for the given index
raise RuntimeError("The npz format does not support meta data.")
# -- writer
class Writer(Format.Writer):
def _open(self):
# Npz is not such a great format. We cannot stream to the file.
# So we remember all images and write them to file at the end.
self._images = []
def _close(self):
# Write everything
np.savez_compressed(self.request.get_file(), *self._images)
def _append_data(self, im, meta):
self._images.append(im) # discart meta data
def set_meta_data(self, meta):
raise RuntimeError("The npz format does not support meta data.")