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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 the h5py.AttributeManager.create() method.
"""
import numpy as np
from .. import h5t, h5a
from .common import ut, TestCase
class TestArray(TestCase):
"""
Check that top-level array types can be created and read.
"""
def test_int(self):
# See issue 498
dt = np.dtype('(3,)i')
data = np.arange(3, dtype='i')
self.f.attrs.create('x', data=data, dtype=dt)
aid = h5a.open(self.f.id, b'x')
htype = aid.get_type()
self.assertEqual(htype.get_class(), h5t.ARRAY)
out = self.f.attrs['x']
self.assertArrayEqual(out, data)
def test_string_dtype(self):
# See issue 498 discussion
self.f.attrs.create('x', data=42, dtype='i8')
def test_str(self):
# See issue 1057
self.f.attrs.create('x', chr(0x03A9))
out = self.f.attrs['x']
self.assertEqual(out, chr(0x03A9))
self.assertIsInstance(out, str)
def test_tuple_of_unicode(self):
# Test that a tuple of unicode strings can be set as an attribute. It will
# be converted to a numpy array of vlen unicode type:
data = ('a', 'b')
self.f.attrs.create('x', data=data)
result = self.f.attrs['x']
self.assertTrue(all(result == data))
self.assertEqual(result.dtype, np.dtype('O'))
# However, a numpy array of type U being passed in will not be
# automatically converted, and should raise an error as it does
# not map to a h5py dtype
data_as_U_array = np.array(data)
self.assertEqual(data_as_U_array.dtype, np.dtype('U1'))
with self.assertRaises(TypeError):
self.f.attrs.create('y', data=data_as_U_array)
def test_shape(self):
self.f.attrs.create('x', data=42, shape=1)
result = self.f.attrs['x']
self.assertEqual(result.shape, (1,))
self.f.attrs.create('y', data=np.arange(3), shape=3)
result = self.f.attrs['y']
self.assertEqual(result.shape, (3,))
def test_dtype(self):
dt = np.dtype('(3,)i')
array = np.arange(3, dtype='i')
self.f.attrs.create('x', data=array, dtype=dt)
# Array dtype shape is incompatible with data shape
array = np.arange(4, dtype='i')
with self.assertRaises(ValueError):
self.f.attrs.create('x', data=array, dtype=dt)
# Shape of new attribute conflicts with shape of data
dt = np.dtype('()i')
with self.assertRaises(ValueError):
self.f.attrs.create('x', data=array, shape=(5,), dtype=dt)
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