Source: python-argon2 Maintainer: Debian Python Modules Team Uploaders: Nicolas Dandrimont Section: python Priority: optional Build-Depends: debhelper (>= 11~), dh-python (>= 3.20180927~), libargon2-0-dev, pypy, pypy-dev, pypy-enum34, pypy-hypothesis, pypy-lib, pypy-pytest, pypy-setuptools, pypy-six, python-all-dev, python-cffi, python-enum34, python-hypothesis, python-pytest, python-setuptools, python-six, python3-all-dev, python3-cffi, python3-hypothesis, python3-pytest, python3-setuptools, python3-six, python3-sphinx Standards-Version: 4.2.1 Rules-Requires-Root: no Homepage: https://argon2-cffi.readthedocs.io/ Vcs-Git: https://salsa.debian.org/python-team/modules/python-argon2.git Vcs-Browser: https://salsa.debian.org/python-team/modules/python-argon2 Package: python-argon2 Architecture: any Depends: ${misc:Depends}, ${python:Depends}, ${shlibs:Depends} Suggests: python-argon2-doc (= ${source:Version}) Description: Argon2 password hashing library - Python 2.x Module Argon2 is a password-hashing function that can be used to hash passwords for credential storage, key derivation, or other applications. . There are two main versions of Argon2: Argon2i and Argon2d. Argon2i is the safest against side-channel attacks, while Argon2d provides the highest resistance against GPU cracking attacks. . Argon2i and Argon2d are parametrized by: * A time cost, which defines the amount of computation realized and therefore the execution time, given in number of iterations * A memory cost, which defines the memory usage, given in kibibytes * A parallelism degree, which defines the number of parallel threads . This module provides argon2 hashing primitives for the Python programming language. Package: python3-argon2 Architecture: any Depends: ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends} Suggests: python-argon2-doc (= ${source:Version}) Description: Argon2 password hashing library - Python 3.x Module Argon2 is a password-hashing function that can be used to hash passwords for credential storage, key derivation, or other applications. . There are two main versions of Argon2: Argon2i and Argon2d. Argon2i is the safest against side-channel attacks, while Argon2d provides the highest resistance against GPU cracking attacks. . Argon2i and Argon2d are parametrized by: * A time cost, which defines the amount of computation realized and therefore the execution time, given in number of iterations * A memory cost, which defines the memory usage, given in kibibytes * A parallelism degree, which defines the number of parallel threads . This module provides argon2 hashing primitives for the Python 3 programming language. Package: pypy-argon2 Architecture: any Depends: ${misc:Depends}, ${pypy:Depends}, ${shlibs:Depends} Suggests: python-argon2-doc (= ${source:Version}) Description: Argon2 password hashing library - PyPy Module Argon2 is a password-hashing function that can be used to hash passwords for credential storage, key derivation, or other applications. . There are two main versions of Argon2: Argon2i and Argon2d. Argon2i is the safest against side-channel attacks, while Argon2d provides the highest resistance against GPU cracking attacks. . Argon2i and Argon2d are parametrized by: * A time cost, which defines the amount of computation realized and therefore the execution time, given in number of iterations * A memory cost, which defines the memory usage, given in kibibytes * A parallelism degree, which defines the number of parallel threads . This module provides argon2 hashing primitives for the PyPy programming language. Package: python-argon2-doc Architecture: all Section: doc Depends: ${misc:Depends}, ${sphinxdoc:Depends} Description: Argon2 password hashing library - Python Module Documentation Argon2 is a password-hashing function that can be used to hash passwords for credential storage, key derivation, or other applications. . There are two main versions of Argon2: Argon2i and Argon2d. Argon2i is the safest against side-channel attacks, while Argon2d provides the highest resistance against GPU cracking attacks. . Argon2i and Argon2d are parametrized by: * A time cost, which defines the amount of computation realized and therefore the execution time, given in number of iterations * A memory cost, which defines the memory usage, given in kibibytes * A parallelism degree, which defines the number of parallel threads . This module provides the documentation for the argon2 Python modules.