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# coding: utf-8
# /*##########################################################################
# Copyright (C) 2016-2017 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ############################################################################*/
"""
This module contains wrapper from file format to h5py. The exposed layout is
as close as possible to the original file format.
"""
import numpy
from . import commonh5
import logging
__authors__ = ["V. Valls"]
__license__ = "MIT"
__date__ = "21/09/2017"
_logger = logging.getLogger(__name__)
class _FreeDataset(commonh5.Dataset):
def _check_data(self, data):
"""Release the constriants checked on types cause we can reach more
types than the one available on h5py, and it is not supposed to be
converted into h5py."""
chartype = data.dtype.char
if chartype in ["U", "O"]:
msg = "Dataset '%s' uses an unsupported type '%s'."
msg = msg % (self.name, data.dtype)
_logger.warning(msg)
class NumpyFile(commonh5.File):
"""
Expose a numpy file `npy`, or `npz` as an h5py.File-like.
:param str name: Filename to load
"""
def __init__(self, name=None):
commonh5.File.__init__(self, name=name, mode="w")
np_file = numpy.load(name)
if hasattr(np_file, "close"):
# For npz (created using by numpy.savez, numpy.savez_compressed)
for key, value in np_file.items():
self[key] = _FreeDataset(None, data=value)
np_file.close()
else:
# For npy (created using numpy.save)
value = np_file
dataset = _FreeDataset("data", data=value)
self.add_node(dataset)
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