Source: python-memray
Standards-Version: 4.7.4
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders:
 Yogeswaran Umasankar <yogu@debian.org>,
Section: python
Build-Depends:
 black,
 check-manifest,
 cython3,
 debhelper-compat (= 13),
 dh-sequence-python3,
 furo <!nodoc>,
 libdebuginfod-dev,
 libjs-bootstrap5 <!nodoc>,
 libjs-d3 <!nodoc>,
 libjs-jquery <!nodoc>,
 libjs-jquery-datatables <!nodoc>,
 libjs-lodash <!nodoc>,
 libjs-popper.js <!nodoc>,
 liblz4-dev,
 libunwind-dev,
 pybuild-plugin-pyproject,
 python3-all,
 python3-all-dev,
 python3-flake8,
 python3-greenlet <!nocheck>,
 python3-ipython,
 python3-isort,
 python3-jinja2,
 python3-pkgconfig,
 python3-pytest <!nocheck>,
 python3-pytest-cov <!nocheck>,
 python3-rich,
 python3-setuptools,
 python3-sphinx <!nodoc>,
 python3-sphinx-argparse <!nodoc>,
 python3-textual,
 python3-typing-extensions,
 towncrier <!nodoc>,
Vcs-Browser: https://salsa.debian.org/python-team/packages/python-memray
Vcs-Git: https://salsa.debian.org/python-team/packages/python-memray.git
Homepage: https://github.com/bloomberg/memray

Package: python3-memray
Architecture: any
Depends:
 libjs-bootstrap5,
 libjs-d3,
 libjs-jquery,
 libjs-jquery-datatables,
 libjs-lodash,
 libjs-popper.js,
 ${misc:Depends},
 ${python3:Depends},
 ${shlibs:Depends},
Pre-Depends:
 ${misc:Pre-Depends},
Description: Memory profiler for Python applications
 Memray is a memory profiler for Python. It can track memory
 allocations in Python code, in native extension modules,
 and in the Python interpreter itself. It can generate several
 different types of reports to help you analyze the captured
 memory usage data. While commonly used as a CLI tool, it
 can also be used as a library to perform more fine-grained
 profiling tasks.

Package: python-memray-doc
Architecture: all
Multi-Arch: foreign
Section: doc
Depends:
 libjs-bootstrap5,
 libjs-jquery,
 ${misc:Depends},
 ${sphinxdoc:Depends},
Description: Documentation for python-memray
 Memray is a memory profiler for Python. It can track memory
 allocations in Python code, in native extension modules,
 and in the Python interpreter itself. It can generate several
 different types of reports to help you analyze the captured
 memory usage data. While commonly used as a CLI tool, it
 can also be used as a library to perform more fine-grained
 profiling tasks.
 .
 This package contains documentation for memray.