Gecko [ betsfootball.net ]

Name	Size	Permission	Date
__pycache__	[ DIR ]	drwxr-xr-x	2025-04-08 17:01
__init__.py	457 B	-rw-r--r--	2025-04-08 17:01
attrs.py	9.98 KB	-rw-r--r--	2025-04-08 17:01
base.py	15.26 KB	-rw-r--r--	2025-04-08 17:01
compat.py	1.57 KB	-rw-r--r--	2025-04-08 17:01
dataset.py	41.91 KB	-rw-r--r--	2025-04-08 17:01
datatype.py	1.51 KB	-rw-r--r--	2025-04-08 17:01
dims.py	4.99 KB	-rw-r--r--	2025-04-08 17:01
files.py	24.79 KB	-rw-r--r--	2025-04-08 17:01
filters.py	14.23 KB	-rw-r--r--	2025-04-08 17:01
group.py	29.89 KB	-rw-r--r--	2025-04-08 17:01
selections.py	14.14 KB	-rw-r--r--	2025-04-08 17:01
selections2.py	2.66 KB	-rw-r--r--	2025-04-08 17:01
vds.py	9.16 KB	-rw-r--r--	2025-04-08 17:01

Rename

# 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)