Source: opentimelineio
Section: libs
Priority: optional
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
XSBC-Original-Maintainer: Christian Marillat <marillat@deb-multimedia.org>
Homepage: http://opentimeline.io/
Standards-Version: 4.7.2
Build-Depends: debhelper-compat (= 13),
               dh-sequence-python3,
               cmake,
               libimath-dev,
               python3-dev,
               python3-setuptools,

Package: libopentimelineio-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends: libopentimelineio0 (= ${binary:Version}), ${misc:Depends},
Description: API for editorial cut information - development files
 An interchange format and API for editorial cut information.  OTIO contains
 information about the order and length of cuts and references to external
 media.  It is not however, a container format for media.
 .
 For integration with applications, the core OTIO library is implemented in
 C++ and provides an in-memory data model, as well as library functions for
 interpreting, manipulating, and serializing that data model.
 .
 The project also supports an official Python binding, which is intended to
 be an idiomatic and ergonomic binding for Python developers. The Python
 binding includes a plugin system which supports a number of different types
 of plugins, most notably adapters, which can be used to read and write
 legacy formats into the OTIO data model.
 .
 This package contains the development files for the library.

Package: libopentimelineio0
Architecture: any
Multi-Arch: same
Depends: ${misc:Depends}, ${shlibs:Depends},
Description: API for editorial cut information
 An interchange format and API for editorial cut information.  OTIO contains
 information about the order and length of cuts and references to external
 media.  It is not however, a container format for media.
 .
 For integration with applications, the core OTIO library is implemented in
 C++ and provides an in-memory data model, as well as library functions for
 interpreting, manipulating, and serializing that data model.
 .
 The project also supports an official Python binding, which is intended to
 be an idiomatic and ergonomic binding for Python developers. The Python
 binding includes a plugin system which supports a number of different types
 of plugins, most notably adapters, which can be used to read and write
 legacy formats into the OTIO data model.
