comparison DEPENDENCIES/mingw32/Python27/Lib/site-packages/numpy/ma/tests/test_subclassing.py @ 87:2a2c65a20a8b

Add Python libs and headers

+# pylint: disable-msg=W0611, W0612, W0511,R0201
+"""Tests suite for MaskedArray & subclassing.
+
+:author: Pierre Gerard-Marchant
+:contact: pierregm_at_uga_dot_edu
+:version: $Id: test_subclassing.py 3473 2007-10-29 15:18:13Z jarrod.millman $
+
+"""
+from __future__ import division, absolute_import, print_function
+
+__author__ = "Pierre GF Gerard-Marchant ($Author: jarrod.millman $)"
+__version__ = '1.0'
+__revision__ = "$Revision: 3473 $"
+__date__ = '$Date: 2007-10-29 17:18:13 +0200 (Mon, 29 Oct 2007) $'
+
+import numpy as np
+from numpy.testing import *
+from numpy.ma.testutils import *
+from numpy.ma.core import *
+
+
+class SubArray(np.ndarray):
+    # Defines a generic np.ndarray subclass, that stores some metadata
+    # in the  dictionary `info`.
+    def __new__(cls,arr,info={}):
+        x = np.asanyarray(arr).view(cls)
+        x.info = info
+        return x
+
+    def __array_finalize__(self, obj):
+        self.info = getattr(obj, 'info', {})
+        return
+
+    def __add__(self, other):
+        result = np.ndarray.__add__(self, other)
+        result.info.update({'added':result.info.pop('added', 0)+1})
+        return result
+
+subarray = SubArray
+
+
+class MSubArray(SubArray, MaskedArray):
+
+    def __new__(cls, data, info={}, mask=nomask):
+        subarr = SubArray(data, info)
+        _data = MaskedArray.__new__(cls, data=subarr, mask=mask)
+        _data.info = subarr.info
+        return _data
+
+    def __array_finalize__(self, obj):
+        MaskedArray.__array_finalize__(self, obj)
+        SubArray.__array_finalize__(self, obj)
+        return
+
+    def _get_series(self):
+        _view = self.view(MaskedArray)
+        _view._sharedmask = False
+        return _view
+    _series = property(fget=_get_series)
+
+msubarray = MSubArray
+
+
+class MMatrix(MaskedArray, np.matrix,):
+
+    def __new__(cls, data, mask=nomask):
+        mat = np.matrix(data)
+        _data = MaskedArray.__new__(cls, data=mat, mask=mask)
+        return _data
+
+    def __array_finalize__(self, obj):
+        np.matrix.__array_finalize__(self, obj)
+        MaskedArray.__array_finalize__(self, obj)
+        return
+
+    def _get_series(self):
+        _view = self.view(MaskedArray)
+        _view._sharedmask = False
+        return _view
+    _series = property(fget=_get_series)
+
+mmatrix = MMatrix
+
+
+# also a subclass that overrides __str__, __repr__ and __setitem__, disallowing
+# setting to non-class values (and thus np.ma.core.masked_print_option)
+class ComplicatedSubArray(SubArray):
+    def __str__(self):
+        return 'myprefix {0} mypostfix'.format(
+            super(ComplicatedSubArray, self).__str__())
+
+    def __repr__(self):
+        # Return a repr that does not start with 'name('
+        return '<{0} {1}>'.format(self.__class__.__name__, self)
+
+    def __setitem__(self, item, value):
+        # this ensures direct assignment to masked_print_option will fail
+        if not isinstance(value, ComplicatedSubArray):
+            raise ValueError("Can only set to MySubArray values")
+        super(ComplicatedSubArray, self).__setitem__(item, value)
+
+
+class TestSubclassing(TestCase):
+    # Test suite for masked subclasses of ndarray.
+
+    def setUp(self):
+        x = np.arange(5)
+        mx = mmatrix(x, mask=[0, 1, 0, 0, 0])
+        self.data = (x, mx)
+
+    def test_data_subclassing(self):
+        # Tests whether the subclass is kept.
+        x = np.arange(5)
+        m = [0, 0, 1, 0, 0]
+        xsub = SubArray(x)
+        xmsub = masked_array(xsub, mask=m)
+        self.assertTrue(isinstance(xmsub, MaskedArray))
+        assert_equal(xmsub._data, xsub)
+        self.assertTrue(isinstance(xmsub._data, SubArray))
+
+    def test_maskedarray_subclassing(self):
+        # Tests subclassing MaskedArray
+        (x, mx) = self.data
+        self.assertTrue(isinstance(mx._data, np.matrix))
+
+    def test_masked_unary_operations(self):
+        # Tests masked_unary_operation
+        (x, mx) = self.data
+        with np.errstate(divide='ignore'):
+            self.assertTrue(isinstance(log(mx), mmatrix))
+            assert_equal(log(x), np.log(x))
+
+    def test_masked_binary_operations(self):
+        # Tests masked_binary_operation
+        (x, mx) = self.data
+        # Result should be a mmatrix
+        self.assertTrue(isinstance(add(mx, mx), mmatrix))
+        self.assertTrue(isinstance(add(mx, x), mmatrix))
+        # Result should work
+        assert_equal(add(mx, x), mx+x)
+        self.assertTrue(isinstance(add(mx, mx)._data, np.matrix))
+        self.assertTrue(isinstance(add.outer(mx, mx), mmatrix))
+        self.assertTrue(isinstance(hypot(mx, mx), mmatrix))
+        self.assertTrue(isinstance(hypot(mx, x), mmatrix))
+
+    def test_masked_binary_operations2(self):
+        # Tests domained_masked_binary_operation
+        (x, mx) = self.data
+        xmx = masked_array(mx.data.__array__(), mask=mx.mask)
+        self.assertTrue(isinstance(divide(mx, mx), mmatrix))
+        self.assertTrue(isinstance(divide(mx, x), mmatrix))
+        assert_equal(divide(mx, mx), divide(xmx, xmx))
+
+    def test_attributepropagation(self):
+        x = array(arange(5), mask=[0]+[1]*4)
+        my = masked_array(subarray(x))
+        ym = msubarray(x)
+        #
+        z = (my+1)
+        self.assertTrue(isinstance(z, MaskedArray))
+        self.assertTrue(not isinstance(z, MSubArray))
+        self.assertTrue(isinstance(z._data, SubArray))
+        assert_equal(z._data.info, {})
+        #
+        z = (ym+1)
+        self.assertTrue(isinstance(z, MaskedArray))
+        self.assertTrue(isinstance(z, MSubArray))
+        self.assertTrue(isinstance(z._data, SubArray))
+        self.assertTrue(z._data.info['added'] > 0)
+        #
+        ym._set_mask([1, 0, 0, 0, 1])
+        assert_equal(ym._mask, [1, 0, 0, 0, 1])
+        ym._series._set_mask([0, 0, 0, 0, 1])
+        assert_equal(ym._mask, [0, 0, 0, 0, 1])
+        #
+        xsub = subarray(x, info={'name':'x'})
+        mxsub = masked_array(xsub)
+        self.assertTrue(hasattr(mxsub, 'info'))
+        assert_equal(mxsub.info, xsub.info)
+
+    def test_subclasspreservation(self):
+        # Checks that masked_array(...,subok=True) preserves the class.
+        x = np.arange(5)
+        m = [0, 0, 1, 0, 0]
+        xinfo = [(i, j) for (i, j) in zip(x, m)]
+        xsub = MSubArray(x, mask=m, info={'xsub':xinfo})
+        #
+        mxsub = masked_array(xsub, subok=False)
+        self.assertTrue(not isinstance(mxsub, MSubArray))
+        self.assertTrue(isinstance(mxsub, MaskedArray))
+        assert_equal(mxsub._mask, m)
+        #
+        mxsub = asarray(xsub)
+        self.assertTrue(not isinstance(mxsub, MSubArray))
+        self.assertTrue(isinstance(mxsub, MaskedArray))
+        assert_equal(mxsub._mask, m)
+        #
+        mxsub = masked_array(xsub, subok=True)
+        self.assertTrue(isinstance(mxsub, MSubArray))
+        assert_equal(mxsub.info, xsub.info)
+        assert_equal(mxsub._mask, xsub._mask)
+        #
+        mxsub = asanyarray(xsub)
+        self.assertTrue(isinstance(mxsub, MSubArray))
+        assert_equal(mxsub.info, xsub.info)
+        assert_equal(mxsub._mask, m)
+
+    def test_subclass_repr(self):
+        """test that repr uses the name of the subclass
+        and 'array' for np.ndarray"""
+        x = np.arange(5)
+        mx = masked_array(x, mask=[True, False, True, False, False])
+        self.assertTrue(repr(mx).startswith('masked_array'))
+        xsub = SubArray(x)
+        mxsub = masked_array(xsub, mask=[True, False, True, False, False])
+        self.assertTrue(repr(mxsub).startswith(
+            'masked_{0}(data = [-- 1 -- 3 4]'.format(SubArray.__name__)))
+
+    def test_subclass_str(self):
+        """test str with subclass that has overridden str, setitem"""
+        # first without override
+        x = np.arange(5)
+        xsub = SubArray(x)
+        mxsub = masked_array(xsub, mask=[True, False, True, False, False])
+        self.assertTrue(str(mxsub) == '[-- 1 -- 3 4]')
+
+        xcsub = ComplicatedSubArray(x)
+        assert_raises(ValueError, xcsub.__setitem__, 0,
+                      np.ma.core.masked_print_option)
+        mxcsub = masked_array(xcsub, mask=[True, False, True, False, False])
+        self.assertTrue(str(mxcsub) == 'myprefix [-- 1 -- 3 4] mypostfix')
+
+
+###############################################################################
+if __name__ == '__main__':
+    run_module_suite()