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tamaas/python/tamaas/dumpers/_helper.py
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_helper.py
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# -*- mode:python; coding: utf-8 -*-
#
# Copyright (©) 2016-2022 EPFL (École Polytechnique Fédérale de Lausanne),
# Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Helper functions for dumpers
"""
from os import PathLike
from functools import wraps
from pathlib import Path
import io
import numpy as np
from .. import model_type, type_traits, mpi
__all__ = ["step_dump", "directory_dump"]
_basic_types = [t for t, trait in type_traits.items() if trait.components == 1]
def _is_surface_field(field, model):
def _to_global(shape):
if len(shape) == len(model.boundary_shape) + 1:
return mpi.global_shape(model.boundary_shape) + [shape[-1]]
else:
return mpi.global_shape(shape)
b_shapes = [list(model[name].shape) for name in model.boundary_fields]
shape = list(field.shape)
return any(shape == s for s in b_shapes) \
or any(shape == _to_global(s) for s in b_shapes)
def local_slice(field, model):
n = model.shape
bn = model.boundary_shape
gshape = mpi.global_shape(bn)
offsets = np.zeros_like(gshape)
offsets[0] = mpi.local_offset(gshape)
if not _is_surface_field(field, model) and len(n) > len(bn):
gshape = [n[0]] + gshape
offsets = np.concatenate(([0], offsets))
shape = bn if _is_surface_field(field, model) else n
if len(field.shape) > len(shape):
shape += field.shape[len(shape):]
def sgen(offset, size):
return slice(offset, offset + size, None)
def sgen_basic(offset, size):
return slice(offset, offset + size)
slice_gen = sgen_basic if model_type in _basic_types else sgen
return tuple(map(slice_gen, offsets, shape))
def step_dump(cls):
"""
Decorator for dumper with counter for steps
"""
orig_init = cls.__init__
orig_dump = cls.dump
@wraps(cls.__init__)
def __init__(obj, *args, **kwargs):
orig_init(obj, *args, **kwargs)
obj.count = 0
def postfix(obj):
return "_{:04d}".format(obj.count)
@wraps(cls.dump)
def dump(obj, *args, **kwargs):
orig_dump(obj, *args, **kwargs)
obj.count += 1
cls.__init__ = __init__
cls.dump = dump
cls.postfix = property(postfix)
return cls
def directory_dump(directory=""):
"Decorator for dumper in a directory"
directory = Path(directory)
def actual_decorator(cls):
orig_dump = cls.dump
orig_filepath = cls.file_path.fget
@wraps(cls.dump)
def dump(obj, *args, **kwargs):
if mpi.rank() == 0:
directory.mkdir(parents=True, exist_ok=True)
orig_dump(obj, *args, **kwargs)
@wraps(cls.file_path.fget)
def file_path(obj):
return str(directory / orig_filepath(obj))
cls.dump = dump
cls.file_path = property(file_path)
return cls
return actual_decorator
def hdf5toVTK(inpath, outname):
"""Convert HDF5 dump of a model to VTK."""
from . import UVWDumper # noqa
from . import H5Dumper # noqa
UVWDumper(outname, all_fields=True) << H5Dumper("").read(inpath)
def file_handler(mode):
"""Decorate a function to accept path-like or file handles."""
def _handler(func):
@wraps(func)
def _wrapped(self, fd, *args, **kwargs):
if isinstance(fd, (str, PathLike)):
with open(fd, mode) as fd:
return _wrapped(self, fd, *args, **kwargs)
elif isinstance(fd, io.TextIOBase):
return func(self, fd, *args, **kwargs)
raise TypeError(
f"Expected a path-like or file handle, got {type(fd)}")
return _wrapped
return _handler
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