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Format: 3.0 (quilt)
Source: kerchunk
Binary: python3-kerchunk, python-kerchunk-doc
Architecture: all
Version: 0.2.10-2
Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Uploaders: Antonio Valentino <antonio.valentino@tiscali.it>
Homepage: https://github.com/fsspec/kerchunk
Description: Cloud-friendly access to archival data
 Kerchunk is a library that provides a unified way to represent a
 variety of chunked, compressed data formats (e.g. NetCDF, HDF5, GRIB),
 allowing efficient access to the data from traditional file systems or
 cloud object storage.  It also provides a flexible way to create
 virtual datasets from multiple files.  It does this by extracting the
 byte ranges, compression information and other information about the
 data and storing this metadata in a new, separate object.
 This means that you can create a virtual aggregate dataset over
 potentially many source files, for efficient, parallel and
 cloud-friendly *in-situ* access without having to copy or translate
 the originals. It is a gateway to in-the-cloud massive data processing
 while the data providers still insist on using legacy formats for
 archival storage.
 .
 Features:
 .
  * completely serverless architecture
  * metadata consolidation, so you can understand a many-file dataset
    (metadata plus physical storage) in a single read
  * read from all of the storage backends supported by fsspec,
    including object storage (s3, gcs, abfs, alibaba), http, cloud user
    storage (dropbox, gdrive) and network protocols (ftp, ssh, hdfs,
    smb...)
  * loading of various file types (currently netcdf4/HDF, grib2, tiff,
    fits, zarr), potentially heterogeneous within a single dataset,
    without a need to go via the specific driver (e.g., no need for
    h5py)
  * asynchronous concurrent fetch of many data chunks in one go,
    amortizing the cost of latency
  * parallel access with a library like zarr without any locks
  * logical datasets viewing many (>~millions) data files, and direct
    access/subselection to them via coordinate indexing across an
    arbitrary number of dimensions
Standards-Version: 4.7.4
Vcs-Browser: https://salsa.debian.org/debian-gis-team/kerchunk
Vcs-Git: https://salsa.debian.org/debian-gis-team/kerchunk.git
Testsuite: autopkgtest-pkg-pybuild
Build-Depends: bitshuffle, debhelper-compat (= 13), dh-sequence-python3, dh-sequence-sphinxdoc <!nodoc>, hdf5-filter-plugin, pybuild-plugin-pyproject, python3-aiohttp <!nocheck>, python3-all, python3-astropy <!nodoc>, python3-dask <!nocheck>, python3-cfgrib, python3-cftime, python3-eccodes <!nodoc>, python3-fsspec, python3-h5netcdf <!nocheck>, python3-h5py, python3-hdf5plugin, python3-netcdf4 <!nocheck>, python3-numcodecs, python3-numpy, python3-numpydoc <!nodoc>, python3-pytest <!nocheck>, python3-s3fs <!nocheck>, python3-scipy, python3-setuptools, python3-setuptools-scm, python3-sphinx <!nodoc>, python3-sphinx-rtd-theme <!nodoc>, python3-tifffile <!nodoc>, python3-ujson, python3-xarray, python3-zarr
Package-List:
 python-kerchunk-doc deb doc optional arch=all
 python3-kerchunk deb python optional arch=all
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