Source: apache-arrow
Section: devel
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@alioth-lists.debian.net>
Uploaders:
  Steffen Moeller <moeller@debian.org>,
  Sascha Steinbiss <satta@debian.org>,
  Diane Trout <diane@ghic.org>
Build-Depends:
  clang,
  clang-tidy,
  cmake,
  cython3,
  debhelper-compat (= 13),
  dh-python,
  dh-r,
  dh-sequence-numpy3,
  git,
  gir1.2-glib-2.0-dev,
  gobject-introspection (>= 1.80),
  golang-gir-gobject-2.0-dev,
#  gir1.2-*-dev,
  gtk-doc-tools,
  libgirepository-1.0-dev,
  libboost-filesystem-dev,
  libbrotli-dev,
  libbz2-dev,
  libcurl4-openssl-dev,
  libgoogle-glog-dev,
  libgrpc++-dev,
  libgtest-dev,
  libjemalloc-dev,
  libmimalloc-dev,
  liblz4-dev,
  libre2-dev,
  libprotobuf-dev,
  libprotoc-dev,
  libs3-dev,
  libsnappy-dev,
  libssl-dev,
  libthrift-dev,
  libutf8proc-dev,
  libxsimd-dev,
  libzstd-dev,
  llvm,
  llvm-dev,
  meson,
  ninja-build,
#  nvidia-cuda-toolkit [!arm64],
  pkgconf,
  protobuf-compiler-grpc,
  python3-thrift,
  python3-all-dev,
  python3-cffi <!nocheck>,
  python3-dotenv <!nocheck>,
  python3-git <!nocheck>,
  python3-github <!nocheck>,
  python3-hypothesis <!nocheck>,
  python3-memory-profiler <!nocheck>,
  python3-numpy-dev,
  python3-pandas <!nocheck>,
  python3-pytest <!nocheck>,
  python3-pytest-arraydiff <!nocheck>,
  python3-pytest-cov <!nocheck>,
  python3-responses <!nocheck>,
  python3-semver <!nocheck>,
  python3-setuptools-scm,
  python3-typeguard <!nocheck>,
  python3-pytz <!nocheck>,
  python3-wheel <!nocheck>,
  r-base-dev,
  r-cran-assertthat,
  r-cran-bit64,
  r-cran-cpp11,
  r-cran-glue,
  r-cran-purrr,
  r-cran-r6,
  r-cran-rlang,
  r-cran-tidyselect,
  r-cran-vctrs,
  rapidjson-dev,
  tzdata,
  tzdata-legacy,
  zlib1g-dev
#Build-Depends-Indep: libglib2.0-doc
Standards-Version: 4.7.2
Homepage: https://arrow.apache.org/
# To be synced with dev/tasks/linux-packages/apache-arrow/debian/control.in

Package: libarrow2300
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends:
  ${misc:Depends},
  ${shlibs:Depends}
Description: Apache Arrow data processing library
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ library files.

#Package: libarrow-cuda2300
#Section: libs
#Architecture: i386 amd64
#Multi-Arch: same
#Pre-Depends: ${misc:Pre-Depends}
#Depends:
# ${misc:Depends},
# ${shlibs:Depends}
# libarrow2300 (= ${binary:Version})
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides C++ library files for CUDA support.

Package: libarrow-acero2300
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends:
  ${misc:Depends},
  ${shlibs:Depends},
  libarrow2300 (= ${binary:Version}),
Description: Apache library for processing large streams of data
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ library files for the Apache Acero module.

Package: libarrow-dataset2300
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends:
  ${misc:Depends},
  ${shlibs:Depends},
  libarrow2300 (= ${binary:Version}),
  libparquet2300 (= ${binary:Version})
Description: Apache Arrow is a data processing library for analysis
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ library files for Dataset module.

Package: libarrow-flight2300
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends:
  ${misc:Depends},
  ${shlibs:Depends},
  libarrow2300 (= ${binary:Version})
Description: Apache Arrow is a data processing library for analysis
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ library files for Flight RPC system.

# This package is now empty
Package: libarrow-python2300
Conflicts: libarrow-python2200
Section: libs
Architecture: any
Multi-Arch: no
Pre-Depends: ${misc:Pre-Depends}
Depends:
  ${misc:Depends},
  ${shlibs:Depends},
  libarrow2300 (= ${binary:Version})
Description: Apache Arrow is a data processing library for analysis
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ library files for Python support.

Package: libarrow-python-flight2300
Conflicts: libarrow-python-flight2200
Section: libs
Architecture: any
Multi-Arch: no
Pre-Depends: ${misc:Pre-Depends}
Depends:
  ${misc:Depends},
  ${shlibs:Depends},
  libarrow-flight2300 (= ${binary:Version}),
  libarrow-python2300 (= ${binary:Version})
Description: Apache Arrow is a data processing library for analysis
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ library files for Flight and Python support.

Package: libarrow-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends:
  ${misc:Depends},
  libarrow2300 (= ${binary:Version}),
  libbrotli-dev,
  libbz2-dev,
  libgrpc++-dev,
  liblz4-dev,
  libre2-dev,
  libsnappy-dev,
  libssl-dev,
  libutf8proc-dev,
  libzstd-dev,
  protobuf-compiler-grpc,
  libprotobuf-dev,
  libprotoc-dev,
  libthrift-dev,
  zlib1g-dev
Description: Apache Arrow data processing library - header files
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ header files.

Package: libarrow-acero-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends:
  ${misc:Depends},
  libarrow-dev (= ${binary:Version}),
  libarrow-acero2300 (= ${binary:Version}),
Description: Apache Acero is a tool for processing large streams of data
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ header files for dataset module.

#Package: libarrow-cuda-dev
#Section: libdevel
#Architecture: i386 amd64
#Multi-Arch: same
#Depends:
# ${misc:Depends},
# libarrow-dev (= ${binary:Version}),
# libarrow-cuda2300 (= ${binary:Version})
#Description: Apache Arrow data processing library - CUDA headers
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides C++ header files for CUDA support.

Package: libarrow-dataset-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends:
  ${misc:Depends},
  libarrow-dev (= ${binary:Version}),
  libarrow-dataset2300 (= ${binary:Version}),
  libparquet-dev (= ${binary:Version})
Description: Apache Arrow is a data processing library for analysis
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ header files for dataset module.

Package: libarrow-flight-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends:
  ${misc:Depends},
  libarrow-dev (= ${binary:Version}),
  libarrow-flight2300 (= ${binary:Version})
Description: Apache Arrow is a data processing library for analysis
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ header files for Flight RPC system.

#Package: libplasma2300
#Section: libs
#Architecture: i386 amd64
#Multi-Arch: same
#Pre-Depends: ${misc:Pre-Depends}
#Depends:
#  ${misc:Depends},
#  ${shlibs:Depends},
#  libarrow-cuda2300 (= ${binary:Version})
#Description: Plasma is an in-memory object store and cache for big data.
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides C++ library files to connect plasma-store-server.

#Package: plasma-store-server
#Section: utils
#Architecture: i386 amd64
#Pre-Depends: ${misc:Pre-Depends}
#Depends:
#  ${misc:Depends},
#  ${shlibs:Depends},
#  libplasma2300 (= ${binary:Version})
#Description: Plasma is an in-memory object store and cache for big data.
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides plasma-store-server.

#Package: libplasma-dev
#Section: libdevel
#Architecture: i386 amd64
#Multi-Arch: same
#Depends:
#  ${misc:Depends},
#  libarrow-cuda-dev (= ${binary:Version}),
#  libplasma2300 (= ${binary:Version})
#Description: Plasma is an in-memory object store and cache for big data.
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides C++ header files.

Package: libgandiva2300
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends:
  ${misc:Pre-Depends}
Depends:
  ${misc:Depends},
  ${shlibs:Depends}
Description: Runtime expression compiler for Apache Arrow records
 Gandiva is a runtime expression compiler that uses LLVM to generate
 efficient native code for compute on Arrow record batches. Among the
 transformations of Arrow data files, Gandiva only handles projections
 and filters.
 .
 Gandiva was designed to take advantage of the Arrow memory format and
 modern hardware. From the Arrow memory model, since Arrow arrays have
 separate buffers for values and validity bitmaps, values and their
 null status can often be processed independently, allowing for better
 instruction pipelining. On modern hardware, compiling expressions
 using LLVM allows the execution to be optimized to the local runtime
 environment and hardware, including available SIMD instructions. To
 reduce optimization overhead, many Gandiva functions are pre-compiled
 into LLVM IR (intermediate representation).

Package: libgandiva-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends:
  ${misc:Depends},
  libarrow-dev (= ${binary:Version}),
  libgandiva2300 (= ${binary:Version})
Description: header files for Apache Arrow Gandiva library
 Gandiva is a runtime expression compiler that uses LLVM to generate
 efficient native code for compute on Arrow record batches. Among the
 transformations of Arrow data files, Gandiva only handles projections
 and filters.
 .
 This package provides C++ header files.

Package: libparquet2300
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends:
  ${misc:Depends},
  ${shlibs:Depends}
Description: Apache Parquet is a columnar storage format
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ library files to process the Apache Parquet
 format.

Package: libparquet-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends:
  ${misc:Depends},
  libarrow-dev (= ${binary:Version}),
  libparquet2300 (= ${binary:Version})
Description: Apache Parquet is a columnar storage format
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides C++ header files.

#Package: libarrow-glib2300
#Section: libs
#Architecture: any
#Multi-Arch: same
#Pre-Depends: ${misc:Pre-Depends}
#Depends:
#  ${misc:Depends},
#  ${shlibs:Depends},
#  libarrow2300 (= ${binary:Version})
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based library files.

#Package: gir1.2-arrow-1.0
#Section: introspection
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${gir:Depends},
#  ${misc:Depends}
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GObject Introspection typelib files.

#Package: libarrow-glib-dev
#Section: libdevel
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${misc:Depends},
#  libglib2.0-dev,
#  libarrow-dev (= ${binary:Version}),
#  libarrow-glib2300 (= ${binary:Version}),
#  gir1.2-arrow-1.0 (= ${binary:Version})
#Suggests: libarrow-glib-doc
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based header files.

#Package: libarrow-glib-doc
#Section: doc
#Architecture: all
#Multi-Arch: foreign
#Depends:
#  ${misc:Depends}
#Recommends: libglib2.0-doc
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides documentations.

# Package: libarrow-cuda-glib2300
# Section: libs
# Architecture: i386 amd64
# Multi-Arch: same
# Pre-Depends: ${misc:Pre-Depends}
# Depends:
#   ${misc:Depends},
#   ${shlibs:Depends},
#   libarrow-glib2300 (= ${binary:Version}),
#   libarrow-cuda2300 (= ${binary:Version})
# Description: Apache Arrow is a data processing library for analysis
#  .
#  This package provides GLib based library files for CUDA support.

# Package: gir1.2-arrow-cuda-1.0
# Section: introspection
# Architecture: i386 amd64
# Multi-Arch: same
# Depends:
#   ${gir:Depends},
#   ${misc:Depends}
# Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
#  .
#  This package provides GObject Introspection typelib files for CUDA support.

# Package: libarrow-cuda-glib-dev
# Section: libdevel
# Architecture: i386 amd64
# Multi-Arch: same
# Depends:
#   ${misc:Depends},
#   libarrow-cuda-dev (= ${binary:Version}),
#   libarrow-glib-dev (= ${binary:Version}),
#   libarrow-cuda-glib2300 (= ${binary:Version}),
#   gir1.2-arrow-cuda-1.0 (= ${binary:Version})
# Description: Apache Arrow is a data processing library for analysis
#  .
#  This package provides GLib based header files for CUDA support.

#Package: libarrow-dataset-glib2300
#Section: libs
#Architecture: any
#Multi-Arch: same
#Pre-Depends: ${misc:Pre-Depends}
#Depends:
#  ${misc:Depends},
#  ${shlibs:Depends},
#  libarrow-glib2300 (= ${binary:Version}),
#  libarrow-dataset2300 (= ${binary:Version})
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based library files for dataset module.

#Package: gir1.2-arrow-dataset-1.0
#Section: introspection
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${gir:Depends},
#  ${misc:Depends}
#Description: GObject Introspection for Apache Arrow dataset module
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GObject Introspection typelib files for dataset
# module.

#Package: libarrow-dataset-glib-dev
#Section: libdevel
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${misc:Depends},
#  libarrow-dataset-dev (= ${binary:Version}),
#  libarrow-glib-dev (= ${binary:Version}),
#  libarrow-dataset-glib2300 (= ${binary:Version}),
#  gir1.2-arrow-dataset-1.0 (= ${binary:Version})
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based header files for dataset module.

#Package: libarrow-dataset-glib-doc
#Section: doc
#Architecture: any
#Multi-Arch: foreign
#Depends:
#  ${misc:Depends}
#Recommends: libarrow-glib-doc
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides documentations for dataset module.

#Package: libgandiva-glib2300
#Section: libs
#Architecture: any
#Multi-Arch: same
#Pre-Depends: ${misc:Pre-Depends}
#Depends:
#  ${misc:Depends},
#  ${shlibs:Depends},
#  libarrow-glib2300 (= ${bi nary:Version}),
#  libgandiva2300 (= ${binary:Version})
#Description: Gandiva toolset for expressions on Arrow Data
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based library files.

#Package: gir1.2-gandiva-1.0
#Section: introspection
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${gir:Depends},
#  ${misc:Depends}
#Description: GObject Introspection for Gandiva toolset on Arrow Data
#Apache Arrow defines a language-independent columnar memory format
#for flat and nested data, organized for efficient analytic operations
#on modern hardware like CPUs and GPUs. The Arrow memory format also
#supports zero-copy reads for lightning-fast data access without
#serialization overhead.
#.
#Arrow's libraries implement the format and provide building blocks
#for a range of use cases, including high performance analytics. Many
#popular projects use Arrow to ship columnar data efficiently or as the
#basis for analytic engines.
# .
# This package provides GObject Introspection typelib files.

#Package: libgandiva-glib-dev
#Section: libdevel
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${misc:Depends},
#  libgandiva-dev (= ${binary:Version}),
#  libarrow-glib-dev (= ${binary:Version}),
#  libgandiva-glib2300 (= ${binary:Version}),
#  gir1.2-gandiva-1.0 (= ${binary:Version})
#Description: Gandiva expressions on Arrow Data - headers files
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based header files.

#Package: libgandiva-glib-doc
#Section: doc
#Architecture: any
#Multi-Arch: foreign
#Depends:
#  ${misc:Depends}
#Recommends: libglib2.0-doc
#Description: Gandiva toolset documentation on expressions on Arrow Data
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides documentations.

#Package: libplasma-glib2300
#Section: libs
#Architecture: i386 amd64
#Multi-Arch: same
#Pre-Depends: ${misc:Pre-Depends}
#Depends:
#  ${misc:Depends},
#  ${shlibs:Depends},
#  libarrow-cuda-glib2300 (= ${binary:Version}),
#  libplasma2300 (= ${binary:Version})
#Description: Plasma is an in-memory object store and cache for big data.
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based library files to connect
# plasma-store-server.

#Package: gir1.2-plasma-1.0
#Section: introspection
#Architecture: i386 amd64
#Multi-Arch: same
#Depends:
#  ${gir:Depends},
#  ${misc:Depends}
#Description: Plasma is an in-memory object store and cache for big data.
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GObject Introspection typelib files.

#Package: libplasma-glib-dev
#Section: libdevel
#Architecture: i386 amd64
#Multi-Arch: same
#Depends:
#  ${misc:Depends},
#  libplasma-dev (= ${binary:Version}),
#  libarrow-cuda-glib-dev (= ${binary:Version}),
#  libplasma-glib2300 (= ${binary:Version}),
#  gir1.2-plasma-1.0 (= ${binary:Version})
#Description: Plasma is an in-memory object store and cache for big data.
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based header files.

#Package: libplasma-glib-doc
#Section: doc
#Architecture: i386 amd64
#Multi-Arch: foreign
#Depends:
#  ${misc:Depends}
#Recommends: libglib2.0-doc
#Description: Plasma in-memory object store and cache for big data
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides documentation for the plasma object store.

#Package: libparquet-glib2300
#Section: libs
#Architecture: any
#Multi-Arch: same
#Pre-Depends: ${misc:Pre-Depends}
#Depends:
#  ${misc:Depends},
#  ${shlibs:Depends},
#  libarrow-glib2300 (= ${binary:Version}),
#  libparquet2300 (= ${binary:Version})
#Description: Apache Parquet libraries for glib
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based library files.

#Package: gir1.2-parquet-1.0
#Section: introspection
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${gir:Depends},
#  ${misc:Depends}
#Description: GObject Introspection for Parquet columnar storage format
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GObject Introspection typelib files.

#Package: libparquet-glib-dev
#Section: libdevel
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${misc:Depends},
#  libarrow-glib-dev (= ${binary:Version}),
#  libparquet-dev (= ${binary:Version}),
#  libparquet-glib2300 (= ${binary:Version}),
#  gir1.2-parquet-1.0 (= ${binary:Version})
#Suggests: libparquet-glib-doc
#Description: Apache Parquet columnar storage format
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides GLib based header files.

#Package: libparquet-glib-doc
#Section: doc
#Architecture: all
#Multi-Arch: foreign
#Depends:
#  ${misc:Depends}
#Recommends: libglib2.0-doc
#Description: Documentation for Apache Parquet columnar storage format
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides documentation.

Package: python3-pyarrow
Section: python
Architecture: any
Multi-Arch: no
Breaks:
  libarrow-python2300 (<< 23.0.1-2),
  libarrow-python-flight2300 (<< 23.0.1-2)
Replaces:
  libarrow-python2300 (<< 23.0.1-2),
  libarrow-python-flight2300 (<< 23.0.1-2)
Depends:
  ${misc:Depends},
  ${shlibs:Depends},
  ${python3:Depends},
  libarrow2300 (= ${binary:Version})
Description: Python interface to the Arrow C++ libraries
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 This library provides a Python API for functionality provided by the
 Arrow C++ libraries, along with tools for Arrow integration and
 interoperability with pandas, NumPy, and other software in the Python
 ecosystem.

Package: pyarrow-dev
Section: python
Architecture: any
Multi-Arch: no
Breaks: python3-pyarrow (<< 23.0.1-2)
Replaces: python3-pyarrow (<< 23.0.1-2)
Depends:
  ${misc:Depends},
  ${shlibs:Depends},
  python3,
  libarrow-dev (= ${binary:Version}),
  python3-pyarrow (= ${binary:Version})
Description: Python interface to the Apache Arrow C++ libraries
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This provides C headers for interacting with the pyarrow interface to
 the Arrow C++ libraries.

Package: r-cran-arrow
Section: gnu-r
Architecture: any
Multi-Arch: no
Depends:
  ${misc:Depends},
  ${shlibs:Depends},
  ${R:Depends},
  r-api-4.0,
  r-cran-assertthat,
  r-cran-bit64,
  r-cran-cpp11,
  r-cran-glue,
  r-cran-purrr,
  r-cran-r6,
  r-cran-rlang,
  r-cran-tidyselect,
  r-cran-vctrs
Description: R package for Apache Arrow data storage management
 Apache Arrow defines a language-independent columnar memory format
 for flat and nested data, organized for efficient analytic operations
 on modern hardware like CPUs and GPUs. The Arrow memory format also
 supports zero-copy reads for lightning-fast data access without
 serialization overhead.
 .
 Arrow's libraries implement the format and provide building blocks
 for a range of use cases, including high performance analytics. Many
 popular projects use Arrow to ship columnar data efficiently or as the
 basis for analytic engines.
 .
 This package provides the R interface to arrow. It is the same as
 published independently on CRAN.

# NO LONGER NEEDED AS IT SEEMS

# Seems to have been removed by building the python package?
#Package: libarrow-python-dev
#Section: libdevel
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${misc:Depends},
#  libarrow-dev (= ${binary:Version}),
#  libarrow-python2300 (= ${binary:Version})
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides C++ header files for Python support.

#Package: libarrow-python-flight-dev
#Section: libdevel
#Architecture: any
#Multi-Arch: same
#Depends:
#  ${misc:Depends},
#  libarrow-flight-dev (= ${binary:Version}),
#  libarrow-python-dev (= ${binary:Version}),
#  libarrow-python-flight2300 (= ${binary:Version})
#Description: Apache Arrow is a data processing library for analysis
# Apache Arrow defines a language-independent columnar memory format
# for flat and nested data, organized for efficient analytic operations
# on modern hardware like CPUs and GPUs. The Arrow memory format also
# supports zero-copy reads for lightning-fast data access without
# serialization overhead.
# .
# Arrow's libraries implement the format and provide building blocks
# for a range of use cases, including high performance analytics. Many
# popular projects use Arrow to ship columnar data efficiently or as the
# basis for analytic engines.
# .
# This package provides C++ header files for Flight and Python support.

