Spaces:
Running
Running
File size: 5,290 Bytes
122d3ff |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 |
# This file is part of h5py, a Python interface to the HDF5 library.
#
# http://www.h5py.org
#
# Copyright 2008-2013 Andrew Collette and contributors
#
# License: Standard 3-clause BSD; see "license.txt" for full license terms
# and contributor agreement.
"""
Implements support for HDF5 dimension scales.
"""
import warnings
from .. import h5ds
from ..h5py_warnings import H5pyDeprecationWarning
from . import base
from .base import phil, with_phil
from .dataset import Dataset
class DimensionProxy(base.CommonStateObject):
"""
Represents an HDF5 "dimension".
"""
@property
@with_phil
def label(self):
""" Get or set the dimension scale label """
return self._d(h5ds.get_label(self._id, self._dimension))
@label.setter
@with_phil
def label(self, val):
# pylint: disable=missing-docstring
h5ds.set_label(self._id, self._dimension, self._e(val))
@with_phil
def __init__(self, id_, dimension):
self._id = id_
self._dimension = dimension
@with_phil
def __hash__(self):
return hash((type(self), self._id, self._dimension))
@with_phil
def __eq__(self, other):
return hash(self) == hash(other)
@with_phil
def __iter__(self):
yield from self.keys()
@with_phil
def __len__(self):
return h5ds.get_num_scales(self._id, self._dimension)
@with_phil
def __getitem__(self, item):
if isinstance(item, int):
scales = []
h5ds.iterate(self._id, self._dimension, scales.append, 0)
return Dataset(scales[item])
else:
def f(dsid):
""" Iterate over scales to find a matching name """
if h5ds.get_scale_name(dsid) == self._e(item):
return dsid
res = h5ds.iterate(self._id, self._dimension, f, 0)
if res is None:
raise KeyError(item)
return Dataset(res)
def attach_scale(self, dset):
""" Attach a scale to this dimension.
Provide the Dataset of the scale you would like to attach.
"""
with phil:
h5ds.attach_scale(self._id, dset.id, self._dimension)
def detach_scale(self, dset):
""" Remove a scale from this dimension.
Provide the Dataset of the scale you would like to remove.
"""
with phil:
h5ds.detach_scale(self._id, dset.id, self._dimension)
def items(self):
""" Get a list of (name, Dataset) pairs with all scales on this
dimension.
"""
with phil:
scales = []
# H5DSiterate raises an error if there are no dimension scales,
# rather than iterating 0 times. See #483.
if len(self) > 0:
h5ds.iterate(self._id, self._dimension, scales.append, 0)
return [
(self._d(h5ds.get_scale_name(x)), Dataset(x))
for x in scales
]
def keys(self):
""" Get a list of names for the scales on this dimension. """
with phil:
return [key for (key, _) in self.items()]
def values(self):
""" Get a list of Dataset for scales on this dimension. """
with phil:
return [val for (_, val) in self.items()]
@with_phil
def __repr__(self):
if not self._id:
return "<Dimension of closed HDF5 dataset>"
return ('<"%s" dimension %d of HDF5 dataset at %s>'
% (self.label, self._dimension, id(self._id)))
class DimensionManager(base.CommonStateObject):
"""
Represents a collection of dimension associated with a dataset.
Like AttributeManager, an instance of this class is returned when
accessing the ".dims" property on a Dataset.
"""
@with_phil
def __init__(self, parent):
""" Private constructor.
"""
self._id = parent.id
@with_phil
def __getitem__(self, index):
""" Return a Dimension object
"""
if index > len(self) - 1:
raise IndexError('Index out of range')
return DimensionProxy(self._id, index)
@with_phil
def __len__(self):
""" Number of dimensions associated with the dataset. """
return self._id.rank
@with_phil
def __iter__(self):
""" Iterate over the dimensions. """
for i in range(len(self)):
yield self[i]
@with_phil
def __repr__(self):
if not self._id:
return "<Dimensions of closed HDF5 dataset>"
return "<Dimensions of HDF5 object at %s>" % id(self._id)
def create_scale(self, dset, name=''):
""" Create a new dimension, from an initial scale.
Provide the dataset and a name for the scale.
"""
warnings.warn("other_ds.dims.create_scale(ds, name) is deprecated. "
"Use ds.make_scale(name) instead.",
H5pyDeprecationWarning, stacklevel=2,
)
dset.make_scale(name)
|