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# 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. | |
""" | |
Tests for the (internal) selections module | |
""" | |
import numpy as np | |
import h5py | |
import h5py._hl.selections as sel | |
import h5py._hl.selections2 as sel2 | |
from .common import TestCase, ut | |
class BaseSelection(TestCase): | |
def setUp(self): | |
self.f = h5py.File(self.mktemp(), 'w') | |
self.dsid = self.f.create_dataset('x', ()).id | |
def tearDown(self): | |
if self.f: | |
self.f.close() | |
class TestTypeGeneration(BaseSelection): | |
""" | |
Internal feature: Determine output types from dataset dtype and fields. | |
""" | |
def test_simple(self): | |
""" Non-compound types are handled appropriately """ | |
dt = np.dtype('i') | |
out, format = sel2.read_dtypes(dt, ()) | |
self.assertEqual(out, format) | |
self.assertEqual(out, np.dtype('i')) | |
def test_simple_fieldexc(self): | |
""" Field names for non-field types raises ValueError """ | |
dt = np.dtype('i') | |
with self.assertRaises(ValueError): | |
out, format = sel2.read_dtypes(dt, ('a',)) | |
def test_compound_simple(self): | |
""" Compound types with elemental subtypes """ | |
dt = np.dtype( [('a','i'), ('b','f'), ('c','|S10')] ) | |
# Implicit selection of all fields -> all fields | |
out, format = sel2.read_dtypes(dt, ()) | |
self.assertEqual(out, format) | |
self.assertEqual(out, dt) | |
# Explicit selection of fields -> requested fields | |
out, format = sel2.read_dtypes(dt, ('a','b')) | |
self.assertEqual(out, format) | |
self.assertEqual(out, np.dtype( [('a','i'), ('b','f')] )) | |
# Explicit selection of exactly one field -> no fields | |
out, format = sel2.read_dtypes(dt, ('a',)) | |
self.assertEqual(out, np.dtype('i')) | |
self.assertEqual(format, np.dtype( [('a','i')] )) | |
# Field does not appear in named typed | |
with self.assertRaises(ValueError): | |
out, format = sel2.read_dtypes(dt, ('j', 'k')) | |
class TestScalarSliceRules(BaseSelection): | |
""" | |
Internal feature: selections rules for scalar datasets | |
""" | |
def test_args(self): | |
""" Permissible arguments for scalar slicing """ | |
shape, selection = sel2.read_selections_scalar(self.dsid, ()) | |
self.assertEqual(shape, None) | |
self.assertEqual(selection.get_select_npoints(), 1) | |
shape, selection = sel2.read_selections_scalar(self.dsid, (Ellipsis,)) | |
self.assertEqual(shape, ()) | |
self.assertEqual(selection.get_select_npoints(), 1) | |
with self.assertRaises(ValueError): | |
shape, selection = sel2.read_selections_scalar(self.dsid, (1,)) | |
dsid = self.f.create_dataset('y', (1,)).id | |
with self.assertRaises(RuntimeError): | |
shape, selection = sel2.read_selections_scalar(dsid, (1,)) | |
class TestSelection(BaseSelection): | |
""" High-level routes to generate a selection | |
""" | |
def test_selection(self): | |
dset = self.f.create_dataset('dset', (100,100)) | |
regref = dset.regionref[0:100, 0:100] | |
# args is list, return a FancySelection | |
st = sel.select((10,), list([1,2,3]), dset) | |
self.assertIsInstance(st, sel.FancySelection) | |
# args[0] is tuple, return a FancySelection | |
st = sel.select((10,), ((1, 2, 3),), dset) | |
self.assertIsInstance(st, sel.FancySelection) | |
# args is a Boolean mask, return a PointSelection | |
st1 = sel.select((5,), np.array([True,False,False,False,True]), dset) | |
self.assertIsInstance(st1, sel.PointSelection) | |
# args is int, return a SimpleSelection | |
st2 = sel.select((10,), 1, dset) | |
self.assertIsInstance(st2, sel.SimpleSelection) | |
# args is str, should be rejected | |
with self.assertRaises(TypeError): | |
sel.select((100,), "foo", dset) | |
# args is RegionReference, return a Selection instance | |
st3 = sel.select((100,100), regref, dset) | |
self.assertIsInstance(st3, sel.Selection) | |
# args is RegionReference, but dataset is None | |
with self.assertRaises(TypeError): | |
sel.select((100,), regref, None) | |
# args is RegionReference, but its shape doesn't match dataset shape | |
with self.assertRaises(TypeError): | |
sel.select((100,), regref, dset) | |
# args is a single Selection instance, return the arg | |
st4 = sel.select((100,100), st3, dset) | |
self.assertEqual(st4,st3) | |
# args is a single Selection instance, but args shape doesn't match Shape | |
with self.assertRaises(TypeError): | |
sel.select((100,), st3, dset) | |