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| import numpy as np
| from numpy.testing import (
| assert_raises,
| assert_raises_regex,
| )
|
|
| class TestIndexErrors:
| '''Tests to exercise indexerrors not covered by other tests.'''
|
| def test_arraytypes_fasttake(self):
| 'take from a 0-length dimension'
| x = np.empty((2, 3, 0, 4))
| assert_raises(IndexError, x.take, [0], axis=2)
| assert_raises(IndexError, x.take, [1], axis=2)
| assert_raises(IndexError, x.take, [0], axis=2, mode='wrap')
| assert_raises(IndexError, x.take, [0], axis=2, mode='clip')
|
| def test_take_from_object(self):
| # Check exception taking from object array
| d = np.zeros(5, dtype=object)
| assert_raises(IndexError, d.take, [6])
|
| # Check exception taking from 0-d array
| d = np.zeros((5, 0), dtype=object)
| assert_raises(IndexError, d.take, [1], axis=1)
| assert_raises(IndexError, d.take, [0], axis=1)
| assert_raises(IndexError, d.take, [0])
| assert_raises(IndexError, d.take, [0], mode='wrap')
| assert_raises(IndexError, d.take, [0], mode='clip')
|
| def test_multiindex_exceptions(self):
| a = np.empty(5, dtype=object)
| assert_raises(IndexError, a.item, 20)
| a = np.empty((5, 0), dtype=object)
| assert_raises(IndexError, a.item, (0, 0))
|
| def test_put_exceptions(self):
| a = np.zeros((5, 5))
| assert_raises(IndexError, a.put, 100, 0)
| a = np.zeros((5, 5), dtype=object)
| assert_raises(IndexError, a.put, 100, 0)
| a = np.zeros((5, 5, 0))
| assert_raises(IndexError, a.put, 100, 0)
| a = np.zeros((5, 5, 0), dtype=object)
| assert_raises(IndexError, a.put, 100, 0)
|
| def test_iterators_exceptions(self):
| "cases in iterators.c"
| def assign(obj, ind, val):
| obj[ind] = val
|
| a = np.zeros([1, 2, 3])
| assert_raises(IndexError, lambda: a[0, 5, None, 2])
| assert_raises(IndexError, lambda: a[0, 5, 0, 2])
| assert_raises(IndexError, lambda: assign(a, (0, 5, None, 2), 1))
| assert_raises(IndexError, lambda: assign(a, (0, 5, 0, 2), 1))
|
| a = np.zeros([1, 0, 3])
| assert_raises(IndexError, lambda: a[0, 0, None, 2])
| assert_raises(IndexError, lambda: assign(a, (0, 0, None, 2), 1))
|
| a = np.zeros([1, 2, 3])
| assert_raises(IndexError, lambda: a.flat[10])
| assert_raises(IndexError, lambda: assign(a.flat, 10, 5))
| a = np.zeros([1, 0, 3])
| assert_raises(IndexError, lambda: a.flat[10])
| assert_raises(IndexError, lambda: assign(a.flat, 10, 5))
|
| a = np.zeros([1, 2, 3])
| assert_raises(IndexError, lambda: a.flat[np.array(10)])
| assert_raises(IndexError, lambda: assign(a.flat, np.array(10), 5))
| a = np.zeros([1, 0, 3])
| assert_raises(IndexError, lambda: a.flat[np.array(10)])
| assert_raises(IndexError, lambda: assign(a.flat, np.array(10), 5))
|
| a = np.zeros([1, 2, 3])
| assert_raises(IndexError, lambda: a.flat[np.array([10])])
| assert_raises(IndexError, lambda: assign(a.flat, np.array([10]), 5))
| a = np.zeros([1, 0, 3])
| assert_raises(IndexError, lambda: a.flat[np.array([10])])
| assert_raises(IndexError, lambda: assign(a.flat, np.array([10]), 5))
|
| def test_mapping(self):
| "cases from mapping.c"
|
| def assign(obj, ind, val):
| obj[ind] = val
|
| a = np.zeros((0, 10))
| assert_raises(IndexError, lambda: a[12])
|
| a = np.zeros((3, 5))
| assert_raises(IndexError, lambda: a[(10, 20)])
| assert_raises(IndexError, lambda: assign(a, (10, 20), 1))
| a = np.zeros((3, 0))
| assert_raises(IndexError, lambda: a[(1, 0)])
| assert_raises(IndexError, lambda: assign(a, (1, 0), 1))
|
| a = np.zeros((10,))
| assert_raises(IndexError, lambda: assign(a, 10, 1))
| a = np.zeros((0,))
| assert_raises(IndexError, lambda: assign(a, 10, 1))
|
| a = np.zeros((3, 5))
| assert_raises(IndexError, lambda: a[(1, [1, 20])])
| assert_raises(IndexError, lambda: assign(a, (1, [1, 20]), 1))
| a = np.zeros((3, 0))
| assert_raises(IndexError, lambda: a[(1, [0, 1])])
| assert_raises(IndexError, lambda: assign(a, (1, [0, 1]), 1))
|
| def test_mapping_error_message(self):
| a = np.zeros((3, 5))
| index = (1, 2, 3, 4, 5)
| assert_raises_regex(
| IndexError,
| "too many indices for array: "
| "array is 2-dimensional, but 5 were indexed",
| lambda: a[index])
|
| def test_methods(self):
| "cases from methods.c"
|
| a = np.zeros((3, 3))
| assert_raises(IndexError, lambda: a.item(100))
|
|
