Merge pull request #229 from dolfin-adjoint/dokken/import-metadata

Use importlib metadata for version control

Author: jorgensd

pyadjoint/__init__.py

@@ -1,27 +1,76 @@
 # flake8: noqa
+from .optimization.moola_problem import MoolaOptimizationProblem
+from .optimization.constraints import InequalityConstraint, EqualityConstraint
+from .optimization.tao_solver import TAOSolver
+from .optimization.rol_solver import ROLSolver
+from .optimization.ipopt_solver import IPOPTSolver
+from .optimization.optimization_problem import MinimizationProblem
+from .optimization.optimization import (
+    SciPyConvergenceError,
+    minimize,
+    maximize,
+    print_optimization_methods,
+)
+from .control import Control
+from .overloaded_type import OverloadedType, create_overloaded_object
+from .verification import taylor_test, taylor_to_dict
+from .drivers import compute_gradient, compute_hessian, solve_adjoint
+from .checkpointing import disk_checkpointing_callback
+from .reduced_functional import ReducedFunctional
+from .adjfloat import AdjFloat, exp, log
+from .tape import (
+    Tape,
+    set_working_tape,
+    get_working_tape,
+    no_annotations,
+    annotate_tape,
+    stop_annotating,
+    pause_annotation,
+    continue_annotation,
+)
+from .block import Block
+from importlib.metadata import metadata
 
-__version__ = '2019.1.2'
-__author__  = 'Sebastian Kenji Mitusch'
-__credits__ = []
-__license__ = 'LGPL-3'
-__maintainer__ = 'Sebastian Kenji Mitusch'
-__email__ = 'sebastkm@math.uio.no'
+meta = metadata("pyadjoint-ad")
+__version__ = meta["Version"]
+__author__ = meta.get("Author", "")
+__license__ = meta["License"]
+__email__ = meta["Author-email"]
+__program_name__ = meta["Name"]
 
-from .block import Block
-from .tape import (Tape,
-                   set_working_tape, get_working_tape, no_annotations,
-                   annotate_tape, stop_annotating, pause_annotation, continue_annotation)
-from .adjfloat import AdjFloat, exp, log
-from .reduced_functional import ReducedFunctional
-from .checkpointing import disk_checkpointing_callback
-from .drivers import compute_gradient, compute_hessian, solve_adjoint
-from .verification import taylor_test, taylor_to_dict
-from .overloaded_type import OverloadedType, create_overloaded_object
-from .control import Control
-from .optimization.optimization import SciPyConvergenceError, minimize, maximize, print_optimization_methods
-from .optimization.optimization_problem import MinimizationProblem
-from .optimization.ipopt_solver import IPOPTSolver
-from .optimization.rol_solver import ROLSolver
-from .optimization.tao_solver import TAOSolver
-from .optimization.constraints import InequalityConstraint, EqualityConstraint
-from .optimization.moola_problem import MoolaOptimizationProblem
+
+__all__ = [
+    "Block",
+    "Tape",
+    "set_working_tape",
+    "get_working_tape",
+    "no_annotations",
+    "annotate_tape",
+    "stop_annotating",
+    "pause_annotation",
+    "continue_annotation",
+    "AdjFloat",
+    "exp",
+    "log",
+    "Control",
+    "ReducedFunctional",
+    "create_overloaded_object",
+    "OverloadedType",
+    "compute_gradient",
+    "compute_hessian",
+    "solve_adjoint",
+    "taylor_test",
+    "taylor_to_dict",
+    "disk_checkpointing_callback",
+    "MoolaOptimizationProblem",
+    "InequalityConstraint",
+    "EqualityConstraint",
+    "TAOSolver",
+    "ROLSolver",
+    "IPOPTSolver",
+    "MinimizationProblem",
+    "SciPyConvergenceError",
+    "minimize",
+    "maximize",
+    "print_optimization_methods",
+]