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Direktori : /opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/core/tests/ |
Current File : //opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/core/tests/test_indexerrors.py |
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)) a = np.empty(5, dtype=object) assert_raises(IndexError, a.itemset, 20, 0) a = np.empty((5, 0), dtype=object) assert_raises(IndexError, a.itemset, (0, 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)) assert_raises(IndexError, lambda: a.itemset(100, 1)) a = np.zeros((0, 3)) assert_raises(IndexError, lambda: a.item(100)) assert_raises(IndexError, lambda: a.itemset(100, 1))