Release v2022.8.8

README.rst

@@ -16,7 +16,7 @@ CMS (color space transformations), and Float24 (24-bit floating point).
 
 :Author: `Christoph Gohlke <https://www.cgohlke.com>`_
 :License: BSD 3-Clause
-:Version: 2022.7.31
+:Version: 2022.8.8
 :DOI: 10.5281/zenodo.6915978
 
 Installation
@@ -41,7 +41,7 @@ Requirements
 This release has been tested with the following requirements and dependencies
 (other versions may work):
 
-- `CPython 3.8.10, 3.9.13, 3.10.5, 3.11.0b5 <https://www.python.org>`_
+- `CPython 3.8.10, 3.9.13, 3.10.6, 3.11.0rc1 <https://www.python.org>`_
   (AMD64 platforms only, 32-bit versions are deprecated)
 - `Numpy 1.21.5 <https://pypi.org/project/numpy>`_
 
@@ -66,10 +66,9 @@ Build requirements:
   (`aom 3.4.0 <https://aomedia.googlesource.com/aom>`_,
   `dav1d 1.0.0 <https://github.com/videolan/dav1d>`_,
   `rav1e 0.5.1 <https://github.com/xiph/rav1e>`_)
-- `libdeflate 1.12 <https://github.com/ebiggers/libdeflate>`_
+- `libdeflate 1.13 <https://github.com/ebiggers/libdeflate>`_
 - `libheif 1.12.0 <https://github.com/strukturag/libheif>`_
   (`libde265 1.0.8 <https://github.com/strukturag/libde265>`_)
-- `libjpeg 9d <http://libjpeg.sourceforge.net/>`_
 - `libjpeg-turbo 2.1.3 <https://github.com/libjpeg-turbo/libjpeg-turbo>`_
 - `libjxl 0.6.1 <https://github.com/libjxl/libjxl>`_
 - `liblzf 3.6 <http://oldhome.schmorp.de/marc/liblzf.html>`_
@@ -84,34 +83,40 @@ Build requirements:
 - `openjpeg 2.5.0 <https://github.com/uclouvain/openjpeg>`_
 - `qoi 75e7f30 <https://github.com/phoboslab/qoi>`_
 - `snappy 1.1.9 <https://github.com/google/snappy>`_
-- `zfp 0.5.5 <https://github.com/LLNL/zfp>`_
+- `zfp 1.0.0 <https://github.com/LLNL/zfp>`_
 - `zlib 1.2.12 <https://github.com/madler/zlib>`_
 - `zlib-ng 2.0.6 <https://github.com/zlib-ng/zlib-ng>`_
 - `zopfli-1.0.3 <https://github.com/google/zopfli>`_
 - `zstd 1.5.2 <https://github.com/facebook/zstd>`_
 
 Test requirements:
 
-- `tifffile 2022.7.31 <https://pypi.org/project/tifffile>`_
+- `tifffile 2022.8.8 <https://pypi.org/project/tifffile>`_
 - `czifile 2019.7.2 <https://pypi.org/project/czifile>`_
 - `python-blosc 1.10.6 <https://github.com/Blosc/python-blosc>`_
-- `python-blosc2-0.2.0 <https://github.com/Blosc/python-blosc2>`_
+- `python-blosc2-0.3.0 <https://github.com/Blosc/python-blosc2>`_
 - `python-brotli 1.0.9 <https://github.com/google/brotli/tree/master/python>`_
 - `python-lz4 4.0.2 <https://github.com/python-lz4/python-lz4>`_
 - `python-lzf 0.2.4 <https://github.com/teepark/python-lzf>`_
 - `python-snappy 0.6.1 <https://github.com/andrix/python-snappy>`_
-- `python-zstd 1.5.2 <https://github.com/sergey-dryabzhinsky/python-zstd>`_
+- `python-zstd 1.5.3 <https://github.com/sergey-dryabzhinsky/python-zstd>`_
 - `bitshuffle 0.4.2 <https://github.com/kiyo-masui/bitshuffle>`_
-- `numcodecs 0.10.1 <https://github.com/zarr-developers/numcodecs>`_
+- `numcodecs 0.10.2 <https://github.com/zarr-developers/numcodecs>`_
 - `zarr 2.12.0 <https://github.com/zarr-developers/zarr-python>`_
 - `zopflipy 1.7 <https://github.com/hattya/zopflipy>`_
 
 Revisions
 ---------
 
+2022.8.8
+
+- Pass 6349 tests.
+- Drop support for libjpeg.
+- Fix encoding JPEG in RGB color space.
+- Require ZFP 1.0.
+
 2022.7.31
 
-- Pass 6348 tests.
 - Add option to decode WebP as RGBA.
 - Add option to specify WebP compression method.
 - Use exact lossless WebP encoding.
@@ -345,6 +350,31 @@ Read the image from the JP2 file as numpy array:
 >>> numpy.array_equal(image, array)
 True
 
+Create a JPEG 2000 compressed Zarr array:
+
+>>> import zarr
+>>> import numcodecs
+>>> from imagecodecs.numcodecs import Jpeg2k
+>>> numcodecs.register_codec(Jpeg2k)
+>>> zarr.zeros(
+...     (512, 512, 3), chunks=(256, 256, 3), dtype='u1', compressor=Jpeg2k()
+... )
+<zarr.core.Array (512, 512, 3) uint8>
+
+Access image data in a sequence of JP2 files via tifffile.FileSequence and
+dask.array:
+
+>>> import tifffile
+>>> import dask.array
+>>> def jp2_read(filename):
+...     with open(filename, 'rb') as fh:
+...         data = fh.read()
+...     return jpeg2k_decode(data)
+>>> with tifffile.FileSequence(jp2_read, '*.jp2') as ims:
+...     with ims.aszarr() as store:
+...         dask.array.from_zarr(store)
+dask.array<from-zarr, shape=(1, 256, 256, 3)...chunksize=(1, 256, 256, 3)...
+
 View the image in the JP2 file from the command line::
 
     $ python -m imagecodecs _test.jp2