/usr/lib/python2.7/dist-packages/tables/tests/test_types.py is in python-tables 3.1.1-3.
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from __future__ import print_function
import sys
import unittest
import os
import numpy
from tables import *
from tables.tests import common
# To delete the internal attributes automagically
unittest.TestCase.tearDown = common.cleanup
# Test Record class
class Record(IsDescription):
var1 = StringCol(itemsize=4) # 4-character String
var2 = Col.from_kind('int') # integer
var3 = Col.from_kind('int', itemsize=2) # short integer
var4 = Col.from_kind('float') # double (double-precision)
var5 = Col.from_kind('float', itemsize=4) # float (single-precision)
var6 = Col.from_kind('complex') # double-precision
var7 = Col.from_kind('complex', itemsize=8) # single-precision
if "Float16Atom" in globals():
var8 = Col.from_kind('float', itemsize=2) # half-precision
if "Float96Atom" in globals():
var9 = Col.from_kind('float', itemsize=12) # extended-precision
if "Float128Atom" in globals():
var10 = Col.from_kind('float', itemsize=16) # extended-precision
if "Complex192Atom" in globals():
var11 = Col.from_kind('complex', itemsize=24) # extended-precision
if "Complex256Atom" in globals():
var12 = Col.from_kind('complex', itemsize=32) # extended-precision
class RangeTestCase(unittest.TestCase):
file = "test.h5"
title = "This is the table title"
expectedrows = 100
maxshort = 2 ** 15
maxint = 2147483648 # (2 ** 31)
compress = 0
def setUp(self):
# Create an instance of HDF5 Table
self.fileh = open_file(self.file, mode="w")
self.rootgroup = self.fileh.root
# Create a table
self.table = self.fileh.create_table(self.rootgroup, 'table',
Record, self.title)
def tearDown(self):
self.fileh.close()
os.remove(self.file)
common.cleanup(self)
#----------------------------------------
def test00_range(self):
"""Testing the range check."""
rec = self.table.row
# Save a record
i = self.maxshort
rec['var1'] = '%04d' % (i)
rec['var2'] = i
rec['var3'] = i
rec['var4'] = float(i)
rec['var5'] = float(i)
rec['var6'] = float(i)
rec['var7'] = complex(i, i)
if "Float16Atom" in globals():
rec['var8'] = float(i)
if "Float96Atom" in globals():
rec['var9'] = float(i)
if "Float128Atom" in globals():
rec['var10'] = float(i)
try:
rec.append()
except ValueError:
if common.verbose:
(type, value, traceback) = sys.exc_info()
print("\nGreat!, the next ValueError was catched!")
print(value)
pass
else:
if common.verbose:
print(
"\nNow, the range overflow no longer issues a ValueError")
def test01_type(self):
"""Testing the type check."""
rec = self.table.row
# Save a record
i = self.maxshort
rec['var1'] = '%04d' % (i)
rec['var2'] = i
rec['var3'] = i % self.maxshort
rec['var5'] = float(i)
try:
rec['var4'] = "124c"
except TypeError:
if common.verbose:
(type, value, traceback) = sys.exc_info()
print("\nGreat!, the next TypeError was catched!")
print(value)
pass
else:
print(rec)
self.fail("expected a TypeError")
rec['var6'] = float(i)
rec['var7'] = complex(i, i)
if "Float16Atom" in globals():
rec['var8'] = float(i)
if "Float96Atom" in globals():
rec['var9'] = float(i)
if "Float128Atom" in globals():
rec['var10'] = float(i)
# Check the dtype read-only attribute
class DtypeTestCase(common.TempFileMixin, common.PyTablesTestCase):
def test00a_table(self):
"""Check dtype accessor for Table objects."""
a = self.h5file.create_table('/', 'table', Record)
self.assertEqual(a.dtype, a.description._v_dtype)
def test00b_column(self):
"""Check dtype accessor for Column objects."""
a = self.h5file.create_table('/', 'table', Record)
c = a.cols.var3
self.assertEqual(c.dtype, a.description._v_dtype['var3'])
def test01_array(self):
"""Check dtype accessor for Array objects."""
a = self.h5file.create_array('/', 'array', [1, 2])
self.assertEqual(a.dtype, a.atom.dtype)
def test02_carray(self):
"""Check dtype accessor for CArray objects."""
a = self.h5file.create_carray(
'/', 'array', atom=FloatAtom(), shape=[1, 2])
self.assertEqual(a.dtype, a.atom.dtype)
def test03_carray(self):
"""Check dtype accessor for EArray objects."""
a = self.h5file.create_earray(
'/', 'array', atom=FloatAtom(), shape=[0, 2])
self.assertEqual(a.dtype, a.atom.dtype)
def test04_vlarray(self):
"""Check dtype accessor for VLArray objects."""
a = self.h5file.create_vlarray('/', 'array', FloatAtom())
self.assertEqual(a.dtype, a.atom.dtype)
class ReadFloatTestCase(common.PyTablesTestCase):
filename = "float.h5"
nrows = 5
ncols = 6
def setUp(self):
self.fileh = open_file(self._testFilename(self.filename), mode="r")
x = numpy.arange(self.ncols)
y = numpy.arange(self.nrows)
y.shape = (self.nrows, 1)
self.values = x + y
def tearDown(self):
self.fileh.close()
def test01_read_float16(self):
dtype = "float16"
if hasattr(numpy, dtype):
ds = getattr(self.fileh.root, dtype)
self.assertFalse(isinstance(ds, UnImplemented))
self.assertEqual(ds.shape, (self.nrows, self.ncols))
self.assertEqual(ds.dtype, dtype)
self.assertTrue(common.allequal(
ds.read(), self.values.astype(dtype)))
else:
ds = self.assertWarns(UserWarning, getattr, self.fileh.root, dtype)
self.assertTrue(isinstance(ds, UnImplemented))
def test02_read_float32(self):
dtype = "float32"
ds = getattr(self.fileh.root, dtype)
self.assertFalse(isinstance(ds, UnImplemented))
self.assertEqual(ds.shape, (self.nrows, self.ncols))
self.assertEqual(ds.dtype, dtype)
self.assertTrue(common.allequal(
ds.read(), self.values.astype(dtype)))
def test03_read_float64(self):
dtype = "float64"
ds = getattr(self.fileh.root, dtype)
self.assertFalse(isinstance(ds, UnImplemented))
self.assertEqual(ds.shape, (self.nrows, self.ncols))
self.assertEqual(ds.dtype, dtype)
self.assertTrue(common.allequal(
ds.read(), self.values.astype(dtype)))
def test04_read_longdouble(self):
dtype = "longdouble"
if "Float96Atom" in globals() or "Float128Atom" in globals():
ds = getattr(self.fileh.root, dtype)
self.assertFalse(isinstance(ds, UnImplemented))
self.assertEqual(ds.shape, (self.nrows, self.ncols))
self.assertEqual(ds.dtype, dtype)
self.assertTrue(common.allequal(
ds.read(), self.values.astype(dtype)))
if "Float96Atom" in globals():
self.assertEqual(ds.dtype, "float96")
elif "Float128Atom" in globals():
self.assertEqual(ds.dtype, "float128")
else:
# XXX: check
# the behavior depends on the HDF5 lib configuration
try:
ds = self.assertWarns(UserWarning,
getattr, self.fileh.root, dtype)
self.assertTrue(isinstance(ds, UnImplemented))
except AssertionError:
from tables.utilsextension import _broken_hdf5_long_double
if not _broken_hdf5_long_double():
ds = getattr(self.fileh.root, dtype)
self.assertEqual(ds.dtype, "float64")
def test05_read_quadprecision_float(self):
# XXX: check
try:
ds = self.assertWarns(UserWarning, getattr, self.fileh.root,
"quadprecision")
self.assertTrue(isinstance(ds, UnImplemented))
except AssertionError:
# NOTE: it would be nice to have some sort of message that warns
# against the potential precision loss: the quad-precision
# dataset actually uses 128 bits for each element, not just
# 80 bits (longdouble)
ds = self.fileh.root.quadprecision
self.assertEqual(ds.dtype, "longdouble")
class AtomTestCase(common.PyTablesTestCase):
def test_init_parameters_01(self):
atom1 = StringAtom(itemsize=12)
atom2 = atom1.copy()
self.assertEqual(atom1, atom2)
self.assertEqual(str(atom1), str(atom2))
self.assertFalse(atom1 is atom2)
def test_init_parameters_02(self):
atom1 = StringAtom(itemsize=12)
atom2 = atom1.copy(itemsize=100, shape=(2, 2))
self.assertEqual(atom2,
StringAtom(itemsize=100, shape=(2, 2), dflt=b''))
def test_init_parameters_03(self):
atom1 = StringAtom(itemsize=12)
self.assertRaises(TypeError, atom1.copy, foobar=42)
def test_from_dtype_01(self):
atom1 = Atom.from_dtype(numpy.dtype((numpy.int16, (2, 2))))
atom2 = Int16Atom(shape=(2, 2), dflt=0)
self.assertEqual(atom1, atom2)
self.assertEqual(str(atom1), str(atom2))
def test_from_dtype_02(self):
atom1 = Atom.from_dtype(numpy.dtype('S5'), dflt=b'hello')
atom2 = StringAtom(itemsize=5, shape=(), dflt=b'hello')
self.assertEqual(atom1, atom2)
self.assertEqual(str(atom1), str(atom2))
def test_from_dtype_03(self):
atom1 = Atom.from_dtype(numpy.dtype('Float64'))
atom2 = Float64Atom(shape=(), dflt=0.0)
self.assertEqual(atom1, atom2)
self.assertEqual(str(atom1), str(atom2))
def test_from_kind_01(self):
atom1 = Atom.from_kind('int', itemsize=2, shape=(2, 2))
atom2 = Int16Atom(shape=(2, 2), dflt=0)
self.assertEqual(atom1, atom2)
self.assertEqual(str(atom1), str(atom2))
def test_from_kind_02(self):
atom1 = Atom.from_kind('int', shape=(2, 2))
atom2 = Int32Atom(shape=(2, 2), dflt=0)
self.assertEqual(atom1, atom2)
self.assertEqual(str(atom1), str(atom2))
def test_from_kind_03(self):
atom1 = Atom.from_kind('int', shape=1)
atom2 = Int32Atom(shape=(1,), dflt=0)
self.assertEqual(atom1, atom2)
self.assertEqual(str(atom1), str(atom2))
def test_from_kind_04(self):
atom1 = Atom.from_kind('string', itemsize=5, dflt=b'hello')
atom2 = StringAtom(itemsize=5, shape=(), dflt=b'hello')
self.assertEqual(atom1, atom2)
self.assertEqual(str(atom1), str(atom2))
def test_from_kind_05(self):
# ValueError: no default item size for kind ``string``
self.assertRaises(ValueError, Atom.from_kind, 'string', dflt=b'hello')
def test_from_kind_06(self):
# ValueError: unknown kind: 'Float'
self.assertRaises(ValueError, Atom.from_kind, 'Float')
#----------------------------------------------------------------------
def suite():
import doctest
import tables.atom
theSuite = unittest.TestSuite()
for i in range(1):
theSuite.addTest(doctest.DocTestSuite(tables.atom))
theSuite.addTest(unittest.makeSuite(AtomTestCase))
theSuite.addTest(unittest.makeSuite(RangeTestCase))
theSuite.addTest(unittest.makeSuite(DtypeTestCase))
theSuite.addTest(unittest.makeSuite(ReadFloatTestCase))
return theSuite
if __name__ == '__main__':
unittest.main(defaultTest='suite')
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