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author | Matti Picus <matti.picus@gmail.com> | 2020-05-06 09:10:49 +0300 |
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committer | GitHub <noreply@github.com> | 2020-05-06 09:10:49 +0300 |
commit | 9babf6596876be7be02e823688a2b359756e27f3 (patch) | |
tree | 42265d5c714c42ef4a507f91fd0b67a3c7115417 /numpy/lib/tests/test_function_base.py | |
parent | 13080b05787e1379cc30e18840ce704475b56179 (diff) | |
parent | c888073415d60e47a36cb87d72488e12107b34be (diff) | |
download | numpy-9babf6596876be7be02e823688a2b359756e27f3.tar.gz |
Merge pull request #16125 from WarrenWeckesser/vectorize-bug
BUG: lib: Fix a problem with vectorize with default parameters.
Diffstat (limited to 'numpy/lib/tests/test_function_base.py')
-rw-r--r-- | numpy/lib/tests/test_function_base.py | 69 |
1 files changed, 68 insertions, 1 deletions
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py index 23bf3296d..b4e928273 100644 --- a/numpy/lib/tests/test_function_base.py +++ b/numpy/lib/tests/test_function_base.py @@ -3,6 +3,7 @@ import warnings import sys import decimal from fractions import Fraction +import math import pytest import numpy as np @@ -1221,6 +1222,16 @@ class TestExtins: assert_array_equal(a, ac) +# _foo1 and _foo2 are used in some tests in TestVectorize. + +def _foo1(x, y=1.0): + return y*math.floor(x) + + +def _foo2(x, y=1.0, z=0.0): + return y*math.floor(x) + z + + class TestVectorize: def test_simple(self): @@ -1252,7 +1263,6 @@ class TestVectorize: assert_array_equal(y, x) def test_ufunc(self): - import math f = vectorize(math.cos) args = np.array([0, 0.5 * np.pi, np.pi, 1.5 * np.pi, 2 * np.pi]) r1 = f(args) @@ -1273,6 +1283,63 @@ class TestVectorize: r2 = np.array([3, 4, 5]) assert_array_equal(r1, r2) + def test_keywords_with_otypes_order1(self): + # gh-1620: The second call of f would crash with + # `ValueError: invalid number of arguments`. + f = vectorize(_foo1, otypes=[float]) + # We're testing the caching of ufuncs by vectorize, so the order + # of these function calls is an important part of the test. + r1 = f(np.arange(3.0), 1.0) + r2 = f(np.arange(3.0)) + assert_array_equal(r1, r2) + + def test_keywords_with_otypes_order2(self): + # gh-1620: The second call of f would crash with + # `ValueError: non-broadcastable output operand with shape () + # doesn't match the broadcast shape (3,)`. + f = vectorize(_foo1, otypes=[float]) + # We're testing the caching of ufuncs by vectorize, so the order + # of these function calls is an important part of the test. + r1 = f(np.arange(3.0)) + r2 = f(np.arange(3.0), 1.0) + assert_array_equal(r1, r2) + + def test_keywords_with_otypes_order3(self): + # gh-1620: The third call of f would crash with + # `ValueError: invalid number of arguments`. + f = vectorize(_foo1, otypes=[float]) + # We're testing the caching of ufuncs by vectorize, so the order + # of these function calls is an important part of the test. + r1 = f(np.arange(3.0)) + r2 = f(np.arange(3.0), y=1.0) + r3 = f(np.arange(3.0)) + assert_array_equal(r1, r2) + assert_array_equal(r1, r3) + + def test_keywords_with_otypes_several_kwd_args1(self): + # gh-1620 Make sure different uses of keyword arguments + # don't break the vectorized function. + f = vectorize(_foo2, otypes=[float]) + # We're testing the caching of ufuncs by vectorize, so the order + # of these function calls is an important part of the test. + r1 = f(10.4, z=100) + r2 = f(10.4, y=-1) + r3 = f(10.4) + assert_equal(r1, _foo2(10.4, z=100)) + assert_equal(r2, _foo2(10.4, y=-1)) + assert_equal(r3, _foo2(10.4)) + + def test_keywords_with_otypes_several_kwd_args2(self): + # gh-1620 Make sure different uses of keyword arguments + # don't break the vectorized function. + f = vectorize(_foo2, otypes=[float]) + # We're testing the caching of ufuncs by vectorize, so the order + # of these function calls is an important part of the test. + r1 = f(z=100, x=10.4, y=-1) + r2 = f(1, 2, 3) + assert_equal(r1, _foo2(z=100, x=10.4, y=-1)) + assert_equal(r2, _foo2(1, 2, 3)) + def test_keywords_no_func_code(self): # This needs to test a function that has keywords but # no func_code attribute, since otherwise vectorize will |