numpy
diff --git a/‎numpy/core/tests/test_scalar_methods.py
Copy file name to clipboardExpand all lines: numpy/core/tests/test_scalar_methods.py
+76-46Lines changed: 76 additions & 46 deletions b/‎numpy/core/tests/test_scalar_methods.py
Copy file name to clipboardExpand all lines: numpy/core/tests/test_scalar_methods.py
+76-46Lines changed: 76 additions & 46 deletions
@@ -3,7 +3,11 @@
 """
 from __future__ import division, absolute_import, print_function
 
+import os
 import fractions
+import platform
+
+import pytest
 import numpy as np
 
 from numpy.testing import (
@@ -12,39 +16,23 @@
     dec
 )
 
-float_types = [np.half, np.single, np.double, np.longdouble]
-
-def test_float_as_integer_ratio():
-    # derived from the cpython test "test_floatasratio"
-    for ftype in float_types:
-        for f, ratio in [
-                (0.875, (7, 8)),
-                (-0.875, (-7, 8)),
-                (0.0, (0, 1)),
-                (11.5, (23, 2)),
-            ]:
-            assert_equal(ftype(f).as_integer_ratio(), ratio)
-
-        rstate = np.random.RandomState(0)
-        fi = np.finfo(ftype)
-        for i in range(1000):
-            exp = rstate.randint(fi.minexp, fi.maxexp - 1)
-            frac = rstate.rand()
-            f = np.ldexp(frac, exp, dtype=ftype)
-
-            n, d = f.as_integer_ratio()
-
-            try:
-                dn = np.longdouble(str(n))
-                df = np.longdouble(str(d))
-            except (OverflowError, RuntimeWarning):
-                # the values may not fit in any float type
-                continue
+class TestAsIntegerRatio(object):
+    # derived in part from the cpython test "test_floatasratio"
 
-            assert_equal(
-                dn / df, f,
-                "{}/{} (dtype={})".format(n, d, ftype.__name__))
+    @pytest.mark.parametrize("ftype", [
+        np.half, np.single, np.double, np.longdouble])
+    @pytest.mark.parametrize("f, ratio", [
+        (0.875, (7, 8)),
+        (-0.875, (-7, 8)),
+        (0.0, (0, 1)),
+        (11.5, (23, 2)),
+        ])
+    def test_small(self, ftype, f, ratio):
+        assert_equal(ftype(f).as_integer_ratio(), ratio)
 
+    @pytest.mark.parametrize("ftype", [
+        np.half, np.single, np.double, np.longdouble])
+    def test_simple_fractions(self, ftype):
         R = fractions.Fraction
         assert_equal(R(0, 1),
                      R(*ftype(0.0).as_integer_ratio()))
@@ -55,25 +43,67 @@ def test_float_as_integer_ratio():
         assert_equal(R(-2100, 1),
                      R(*ftype(-2100.0).as_integer_ratio()))
 
+    @pytest.mark.parametrize("ftype", [
+        np.half, np.single, np.double, np.longdouble])
+    def test_errors(self, ftype):
         assert_raises(OverflowError, ftype('inf').as_integer_ratio)
         assert_raises(OverflowError, ftype('-inf').as_integer_ratio)
         assert_raises(ValueError, ftype('nan').as_integer_ratio)
 
+    def test_against_known_values(self):
+        R = fractions.Fraction
+        assert_equal(R(1075, 512),
+                     R(*np.half(2.1).as_integer_ratio()))
+        assert_equal(R(-1075, 512),
+                     R(*np.half(-2.1).as_integer_ratio()))
+        assert_equal(R(4404019, 2097152),
+                     R(*np.single(2.1).as_integer_ratio()))
+        assert_equal(R(-4404019, 2097152),
+                     R(*np.single(-2.1).as_integer_ratio()))
+        assert_equal(R(4728779608739021, 2251799813685248),
+                     R(*np.double(2.1).as_integer_ratio()))
+        assert_equal(R(-4728779608739021, 2251799813685248),
+                     R(*np.double(-2.1).as_integer_ratio()))
+        # longdouble is platform depedent
 
-    assert_equal(R(1075, 512),
-                 R(*np.half(2.1).as_integer_ratio()))
-    assert_equal(R(-1075, 512),
-                 R(*np.half(-2.1).as_integer_ratio()))
-    assert_equal(R(4404019, 2097152),
-                 R(*np.single(2.1).as_integer_ratio()))
-    assert_equal(R(-4404019, 2097152),
-                 R(*np.single(-2.1).as_integer_ratio()))
-    assert_equal(R(4728779608739021, 2251799813685248),
-                 R(*np.double(2.1).as_integer_ratio()))
-    assert_equal(R(-4728779608739021, 2251799813685248),
-                 R(*np.double(-2.1).as_integer_ratio()))
-    # longdouble is platform depedent
+    @pytest.mark.parametrize("ftype, frac_vals, exp_vals", [
+        # dtype test cases generated using hypothesis
+        # first five generated cases per dtype
+        (np.half, [0.0, 0.01154830649280303, 0.31082276347447274,
+                   0.527350517124794, 0.8308562335072596],
+                  [0, 1, 0, -8, 12]),
+        (np.single, [0.0, 0.09248576989263226, 0.8160498218131407,
+                     0.17389442853722373, 0.7956044195067877],
+                    [0, 12, 10, 17, -26]),
+        (np.double, [0.0, 0.031066908499895136, 0.5214135908877832,
+                     0.45780736035689296, 0.5906586745934036],
+                    [0, -801, 51, 194, -653]),
+        pytest.param(
+            np.longdouble,
+            [0.0, 0.20492557202724854, 0.4277180662199366, 0.9888085019891495,
+             0.9620175814461964],
+            [0, -7400, 14266, -7822, -8721],
+            marks=[
+                pytest.mark.skipif(
+                    np.finfo(np.double) == np.finfo(np.longdouble),
+                    reason="long double is same as double"),
+                pytest.mark.skipif(
+                    platform.machine().startswith("ppc"),
+                    reason="IBM double double"),
+            ]
+        )
+    ])
+    def test_roundtrip(self, ftype, frac_vals, exp_vals):
+        for frac, exp in zip(frac_vals, exp_vals):
+            f = np.ldexp(frac, exp, dtype=ftype)
+            n, d = f.as_integer_ratio()
 
+            try:
+                # workaround for gh-9968
+                nf = np.longdouble(str(n))
+                df = np.longdouble(str(d))
+            except (OverflowError, RuntimeWarning):
+                # the values may not fit in any float type
+                pytest.skip("longdouble too small on this platform")
 
-if __name__ == "__main__":
-    run_module_suite()
+            assert_equal(nf / df, f, "{}/{}".format(n, d))