/usr/lib/python2.7/dist-packages/numpy/core/tests/test_numerictypes.py is in python-numpy 1:1.12.1-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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import sys
import numpy as np
from numpy.compat import asbytes, asunicode
from numpy.testing import (
TestCase, run_module_suite, assert_, assert_equal
)
# This is the structure of the table used for plain objects:
#
# +-+-+-+
# |x|y|z|
# +-+-+-+
# Structure of a plain array description:
Pdescr = [
('x', 'i4', (2,)),
('y', 'f8', (2, 2)),
('z', 'u1')]
# A plain list of tuples with values for testing:
PbufferT = [
# x y z
([3, 2], [[6., 4.], [6., 4.]], 8),
([4, 3], [[7., 5.], [7., 5.]], 9),
]
# This is the structure of the table used for nested objects (DON'T PANIC!):
#
# +-+---------------------------------+-----+----------+-+-+
# |x|Info |color|info |y|z|
# | +-----+--+----------------+----+--+ +----+-----+ | |
# | |value|y2|Info2 |name|z2| |Name|Value| | |
# | | | +----+-----+--+--+ | | | | | | |
# | | | |name|value|y3|z3| | | | | | | |
# +-+-----+--+----+-----+--+--+----+--+-----+----+-----+-+-+
#
# The corresponding nested array description:
Ndescr = [
('x', 'i4', (2,)),
('Info', [
('value', 'c16'),
('y2', 'f8'),
('Info2', [
('name', 'S2'),
('value', 'c16', (2,)),
('y3', 'f8', (2,)),
('z3', 'u4', (2,))]),
('name', 'S2'),
('z2', 'b1')]),
('color', 'S2'),
('info', [
('Name', 'U8'),
('Value', 'c16')]),
('y', 'f8', (2, 2)),
('z', 'u1')]
NbufferT = [
# x Info color info y z
# value y2 Info2 name z2 Name Value
# name value y3 z3
([3, 2], (6j, 6., (asbytes('nn'), [6j, 4j], [6., 4.], [1, 2]), asbytes('NN'), True), asbytes('cc'), (asunicode('NN'), 6j), [[6., 4.], [6., 4.]], 8),
([4, 3], (7j, 7., (asbytes('oo'), [7j, 5j], [7., 5.], [2, 1]), asbytes('OO'), False), asbytes('dd'), (asunicode('OO'), 7j), [[7., 5.], [7., 5.]], 9),
]
byteorder = {'little':'<', 'big':'>'}[sys.byteorder]
def normalize_descr(descr):
"Normalize a description adding the platform byteorder."
out = []
for item in descr:
dtype = item[1]
if isinstance(dtype, str):
if dtype[0] not in ['|', '<', '>']:
onebyte = dtype[1:] == "1"
if onebyte or dtype[0] in ['S', 'V', 'b']:
dtype = "|" + dtype
else:
dtype = byteorder + dtype
if len(item) > 2 and np.prod(item[2]) > 1:
nitem = (item[0], dtype, item[2])
else:
nitem = (item[0], dtype)
out.append(nitem)
elif isinstance(item[1], list):
l = []
for j in normalize_descr(item[1]):
l.append(j)
out.append((item[0], l))
else:
raise ValueError("Expected a str or list and got %s" %
(type(item)))
return out
############################################################
# Creation tests
############################################################
class create_zeros(object):
"""Check the creation of heterogeneous arrays zero-valued"""
def test_zeros0D(self):
"""Check creation of 0-dimensional objects"""
h = np.zeros((), dtype=self._descr)
self.assertTrue(normalize_descr(self._descr) == h.dtype.descr)
self.assertTrue(h.dtype.fields['x'][0].name[:4] == 'void')
self.assertTrue(h.dtype.fields['x'][0].char == 'V')
self.assertTrue(h.dtype.fields['x'][0].type == np.void)
# A small check that data is ok
assert_equal(h['z'], np.zeros((), dtype='u1'))
def test_zerosSD(self):
"""Check creation of single-dimensional objects"""
h = np.zeros((2,), dtype=self._descr)
self.assertTrue(normalize_descr(self._descr) == h.dtype.descr)
self.assertTrue(h.dtype['y'].name[:4] == 'void')
self.assertTrue(h.dtype['y'].char == 'V')
self.assertTrue(h.dtype['y'].type == np.void)
# A small check that data is ok
assert_equal(h['z'], np.zeros((2,), dtype='u1'))
def test_zerosMD(self):
"""Check creation of multi-dimensional objects"""
h = np.zeros((2, 3), dtype=self._descr)
self.assertTrue(normalize_descr(self._descr) == h.dtype.descr)
self.assertTrue(h.dtype['z'].name == 'uint8')
self.assertTrue(h.dtype['z'].char == 'B')
self.assertTrue(h.dtype['z'].type == np.uint8)
# A small check that data is ok
assert_equal(h['z'], np.zeros((2, 3), dtype='u1'))
class test_create_zeros_plain(create_zeros, TestCase):
"""Check the creation of heterogeneous arrays zero-valued (plain)"""
_descr = Pdescr
class test_create_zeros_nested(create_zeros, TestCase):
"""Check the creation of heterogeneous arrays zero-valued (nested)"""
_descr = Ndescr
class create_values(object):
"""Check the creation of heterogeneous arrays with values"""
def test_tuple(self):
"""Check creation from tuples"""
h = np.array(self._buffer, dtype=self._descr)
self.assertTrue(normalize_descr(self._descr) == h.dtype.descr)
if self.multiple_rows:
self.assertTrue(h.shape == (2,))
else:
self.assertTrue(h.shape == ())
def test_list_of_tuple(self):
"""Check creation from list of tuples"""
h = np.array([self._buffer], dtype=self._descr)
self.assertTrue(normalize_descr(self._descr) == h.dtype.descr)
if self.multiple_rows:
self.assertTrue(h.shape == (1, 2))
else:
self.assertTrue(h.shape == (1,))
def test_list_of_list_of_tuple(self):
"""Check creation from list of list of tuples"""
h = np.array([[self._buffer]], dtype=self._descr)
self.assertTrue(normalize_descr(self._descr) == h.dtype.descr)
if self.multiple_rows:
self.assertTrue(h.shape == (1, 1, 2))
else:
self.assertTrue(h.shape == (1, 1))
class test_create_values_plain_single(create_values, TestCase):
"""Check the creation of heterogeneous arrays (plain, single row)"""
_descr = Pdescr
multiple_rows = 0
_buffer = PbufferT[0]
class test_create_values_plain_multiple(create_values, TestCase):
"""Check the creation of heterogeneous arrays (plain, multiple rows)"""
_descr = Pdescr
multiple_rows = 1
_buffer = PbufferT
class test_create_values_nested_single(create_values, TestCase):
"""Check the creation of heterogeneous arrays (nested, single row)"""
_descr = Ndescr
multiple_rows = 0
_buffer = NbufferT[0]
class test_create_values_nested_multiple(create_values, TestCase):
"""Check the creation of heterogeneous arrays (nested, multiple rows)"""
_descr = Ndescr
multiple_rows = 1
_buffer = NbufferT
############################################################
# Reading tests
############################################################
class read_values_plain(object):
"""Check the reading of values in heterogeneous arrays (plain)"""
def test_access_fields(self):
h = np.array(self._buffer, dtype=self._descr)
if not self.multiple_rows:
self.assertTrue(h.shape == ())
assert_equal(h['x'], np.array(self._buffer[0], dtype='i4'))
assert_equal(h['y'], np.array(self._buffer[1], dtype='f8'))
assert_equal(h['z'], np.array(self._buffer[2], dtype='u1'))
else:
self.assertTrue(len(h) == 2)
assert_equal(h['x'], np.array([self._buffer[0][0],
self._buffer[1][0]], dtype='i4'))
assert_equal(h['y'], np.array([self._buffer[0][1],
self._buffer[1][1]], dtype='f8'))
assert_equal(h['z'], np.array([self._buffer[0][2],
self._buffer[1][2]], dtype='u1'))
class test_read_values_plain_single(read_values_plain, TestCase):
"""Check the creation of heterogeneous arrays (plain, single row)"""
_descr = Pdescr
multiple_rows = 0
_buffer = PbufferT[0]
class test_read_values_plain_multiple(read_values_plain, TestCase):
"""Check the values of heterogeneous arrays (plain, multiple rows)"""
_descr = Pdescr
multiple_rows = 1
_buffer = PbufferT
class read_values_nested(object):
"""Check the reading of values in heterogeneous arrays (nested)"""
def test_access_top_fields(self):
"""Check reading the top fields of a nested array"""
h = np.array(self._buffer, dtype=self._descr)
if not self.multiple_rows:
self.assertTrue(h.shape == ())
assert_equal(h['x'], np.array(self._buffer[0], dtype='i4'))
assert_equal(h['y'], np.array(self._buffer[4], dtype='f8'))
assert_equal(h['z'], np.array(self._buffer[5], dtype='u1'))
else:
self.assertTrue(len(h) == 2)
assert_equal(h['x'], np.array([self._buffer[0][0],
self._buffer[1][0]], dtype='i4'))
assert_equal(h['y'], np.array([self._buffer[0][4],
self._buffer[1][4]], dtype='f8'))
assert_equal(h['z'], np.array([self._buffer[0][5],
self._buffer[1][5]], dtype='u1'))
def test_nested1_acessors(self):
"""Check reading the nested fields of a nested array (1st level)"""
h = np.array(self._buffer, dtype=self._descr)
if not self.multiple_rows:
assert_equal(h['Info']['value'],
np.array(self._buffer[1][0], dtype='c16'))
assert_equal(h['Info']['y2'],
np.array(self._buffer[1][1], dtype='f8'))
assert_equal(h['info']['Name'],
np.array(self._buffer[3][0], dtype='U2'))
assert_equal(h['info']['Value'],
np.array(self._buffer[3][1], dtype='c16'))
else:
assert_equal(h['Info']['value'],
np.array([self._buffer[0][1][0],
self._buffer[1][1][0]],
dtype='c16'))
assert_equal(h['Info']['y2'],
np.array([self._buffer[0][1][1],
self._buffer[1][1][1]],
dtype='f8'))
assert_equal(h['info']['Name'],
np.array([self._buffer[0][3][0],
self._buffer[1][3][0]],
dtype='U2'))
assert_equal(h['info']['Value'],
np.array([self._buffer[0][3][1],
self._buffer[1][3][1]],
dtype='c16'))
def test_nested2_acessors(self):
"""Check reading the nested fields of a nested array (2nd level)"""
h = np.array(self._buffer, dtype=self._descr)
if not self.multiple_rows:
assert_equal(h['Info']['Info2']['value'],
np.array(self._buffer[1][2][1], dtype='c16'))
assert_equal(h['Info']['Info2']['z3'],
np.array(self._buffer[1][2][3], dtype='u4'))
else:
assert_equal(h['Info']['Info2']['value'],
np.array([self._buffer[0][1][2][1],
self._buffer[1][1][2][1]],
dtype='c16'))
assert_equal(h['Info']['Info2']['z3'],
np.array([self._buffer[0][1][2][3],
self._buffer[1][1][2][3]],
dtype='u4'))
def test_nested1_descriptor(self):
"""Check access nested descriptors of a nested array (1st level)"""
h = np.array(self._buffer, dtype=self._descr)
self.assertTrue(h.dtype['Info']['value'].name == 'complex128')
self.assertTrue(h.dtype['Info']['y2'].name == 'float64')
if sys.version_info[0] >= 3:
self.assertTrue(h.dtype['info']['Name'].name == 'str256')
else:
self.assertTrue(h.dtype['info']['Name'].name == 'unicode256')
self.assertTrue(h.dtype['info']['Value'].name == 'complex128')
def test_nested2_descriptor(self):
"""Check access nested descriptors of a nested array (2nd level)"""
h = np.array(self._buffer, dtype=self._descr)
self.assertTrue(h.dtype['Info']['Info2']['value'].name == 'void256')
self.assertTrue(h.dtype['Info']['Info2']['z3'].name == 'void64')
class test_read_values_nested_single(read_values_nested, TestCase):
"""Check the values of heterogeneous arrays (nested, single row)"""
_descr = Ndescr
multiple_rows = False
_buffer = NbufferT[0]
class test_read_values_nested_multiple(read_values_nested, TestCase):
"""Check the values of heterogeneous arrays (nested, multiple rows)"""
_descr = Ndescr
multiple_rows = True
_buffer = NbufferT
class TestEmptyField(TestCase):
def test_assign(self):
a = np.arange(10, dtype=np.float32)
a.dtype = [("int", "<0i4"), ("float", "<2f4")]
assert_(a['int'].shape == (5, 0))
assert_(a['float'].shape == (5, 2))
class TestCommonType(TestCase):
def test_scalar_loses1(self):
res = np.find_common_type(['f4', 'f4', 'i2'], ['f8'])
assert_(res == 'f4')
def test_scalar_loses2(self):
res = np.find_common_type(['f4', 'f4'], ['i8'])
assert_(res == 'f4')
def test_scalar_wins(self):
res = np.find_common_type(['f4', 'f4', 'i2'], ['c8'])
assert_(res == 'c8')
def test_scalar_wins2(self):
res = np.find_common_type(['u4', 'i4', 'i4'], ['f4'])
assert_(res == 'f8')
def test_scalar_wins3(self): # doesn't go up to 'f16' on purpose
res = np.find_common_type(['u8', 'i8', 'i8'], ['f8'])
assert_(res == 'f8')
class TestMultipleFields(TestCase):
def setUp(self):
self.ary = np.array([(1, 2, 3, 4), (5, 6, 7, 8)], dtype='i4,f4,i2,c8')
def _bad_call(self):
return self.ary['f0', 'f1']
def test_no_tuple(self):
self.assertRaises(IndexError, self._bad_call)
def test_return(self):
res = self.ary[['f0', 'f2']].tolist()
assert_(res == [(1, 3), (5, 7)])
if __name__ == "__main__":
run_module_suite()
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