view Lib/test/test_numeric_tower.py @ 87690:66c1c9f32567 default tip

Add use_weakref option to functools.lru_cache The use_weakref option makes lru_cache create weak references to the function arguments when creating the cache key, which prevents them from staying in the memory forever even after all other references to them are gone. This is a proof of concept for http://bugs.python.org/issue19859
author Radomir Dopieralski <devel@sheep.art.pl>
date Tue, 03 Dec 2013 16:02:48 +0100
parents 7355550d5357
children
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# test interactions between int, float, Decimal and Fraction

import unittest
import random
import math
import sys
import operator
from test.support import run_unittest

from decimal import Decimal as D
from fractions import Fraction as F

# Constants related to the hash implementation;  hash(x) is based
# on the reduction of x modulo the prime _PyHASH_MODULUS.
_PyHASH_MODULUS = sys.hash_info.modulus
_PyHASH_INF = sys.hash_info.inf

class HashTest(unittest.TestCase):
    def check_equal_hash(self, x, y):
        # check both that x and y are equal and that their hashes are equal
        self.assertEqual(hash(x), hash(y),
                         "got different hashes for {!r} and {!r}".format(x, y))
        self.assertEqual(x, y)

    def test_bools(self):
        self.check_equal_hash(False, 0)
        self.check_equal_hash(True, 1)

    def test_integers(self):
        # check that equal values hash equal

        # exact integers
        for i in range(-1000, 1000):
            self.check_equal_hash(i, float(i))
            self.check_equal_hash(i, D(i))
            self.check_equal_hash(i, F(i))

        # the current hash is based on reduction modulo 2**n-1 for some
        # n, so pay special attention to numbers of the form 2**n and 2**n-1.
        for i in range(100):
            n = 2**i - 1
            if n == int(float(n)):
                self.check_equal_hash(n, float(n))
                self.check_equal_hash(-n, -float(n))
            self.check_equal_hash(n, D(n))
            self.check_equal_hash(n, F(n))
            self.check_equal_hash(-n, D(-n))
            self.check_equal_hash(-n, F(-n))

            n = 2**i
            self.check_equal_hash(n, float(n))
            self.check_equal_hash(-n, -float(n))
            self.check_equal_hash(n, D(n))
            self.check_equal_hash(n, F(n))
            self.check_equal_hash(-n, D(-n))
            self.check_equal_hash(-n, F(-n))

        # random values of various sizes
        for _ in range(1000):
            e = random.randrange(300)
            n = random.randrange(-10**e, 10**e)
            self.check_equal_hash(n, D(n))
            self.check_equal_hash(n, F(n))
            if n == int(float(n)):
                self.check_equal_hash(n, float(n))

    def test_binary_floats(self):
        # check that floats hash equal to corresponding Fractions and Decimals

        # floats that are distinct but numerically equal should hash the same
        self.check_equal_hash(0.0, -0.0)

        # zeros
        self.check_equal_hash(0.0, D(0))
        self.check_equal_hash(-0.0, D(0))
        self.check_equal_hash(-0.0, D('-0.0'))
        self.check_equal_hash(0.0, F(0))

        # infinities and nans
        self.check_equal_hash(float('inf'), D('inf'))
        self.check_equal_hash(float('-inf'), D('-inf'))

        for _ in range(1000):
            x = random.random() * math.exp(random.random()*200.0 - 100.0)
            self.check_equal_hash(x, D.from_float(x))
            self.check_equal_hash(x, F.from_float(x))

    def test_complex(self):
        # complex numbers with zero imaginary part should hash equal to
        # the corresponding float

        test_values = [0.0, -0.0, 1.0, -1.0, 0.40625, -5136.5,
                       float('inf'), float('-inf')]

        for zero in -0.0, 0.0:
            for value in test_values:
                self.check_equal_hash(value, complex(value, zero))

    def test_decimals(self):
        # check that Decimal instances that have different representations
        # but equal values give the same hash
        zeros = ['0', '-0', '0.0', '-0.0e10', '000e-10']
        for zero in zeros:
            self.check_equal_hash(D(zero), D(0))

        self.check_equal_hash(D('1.00'), D(1))
        self.check_equal_hash(D('1.00000'), D(1))
        self.check_equal_hash(D('-1.00'), D(-1))
        self.check_equal_hash(D('-1.00000'), D(-1))
        self.check_equal_hash(D('123e2'), D(12300))
        self.check_equal_hash(D('1230e1'), D(12300))
        self.check_equal_hash(D('12300'), D(12300))
        self.check_equal_hash(D('12300.0'), D(12300))
        self.check_equal_hash(D('12300.00'), D(12300))
        self.check_equal_hash(D('12300.000'), D(12300))

    def test_fractions(self):
        # check special case for fractions where either the numerator
        # or the denominator is a multiple of _PyHASH_MODULUS
        self.assertEqual(hash(F(1, _PyHASH_MODULUS)), _PyHASH_INF)
        self.assertEqual(hash(F(-1, 3*_PyHASH_MODULUS)), -_PyHASH_INF)
        self.assertEqual(hash(F(7*_PyHASH_MODULUS, 1)), 0)
        self.assertEqual(hash(F(-_PyHASH_MODULUS, 1)), 0)

    def test_hash_normalization(self):
        # Test for a bug encountered while changing long_hash.
        #
        # Given objects x and y, it should be possible for y's
        # __hash__ method to return hash(x) in order to ensure that
        # hash(x) == hash(y).  But hash(x) is not exactly equal to the
        # result of x.__hash__(): there's some internal normalization
        # to make sure that the result fits in a C long, and is not
        # equal to the invalid hash value -1.  This internal
        # normalization must therefore not change the result of
        # hash(x) for any x.

        class HalibutProxy:
            def __hash__(self):
                return hash('halibut')
            def __eq__(self, other):
                return other == 'halibut'

        x = {'halibut', HalibutProxy()}
        self.assertEqual(len(x), 1)

class ComparisonTest(unittest.TestCase):
    def test_mixed_comparisons(self):

        # ordered list of distinct test values of various types:
        # int, float, Fraction, Decimal
        test_values = [
            float('-inf'),
            D('-1e425000000'),
            -1e308,
            F(-22, 7),
            -3.14,
            -2,
            0.0,
            1e-320,
            True,
            F('1.2'),
            D('1.3'),
            float('1.4'),
            F(275807, 195025),
            D('1.414213562373095048801688724'),
            F(114243, 80782),
            F(473596569, 84615),
            7e200,
            D('infinity'),
            ]
        for i, first in enumerate(test_values):
            for second in test_values[i+1:]:
                self.assertLess(first, second)
                self.assertLessEqual(first, second)
                self.assertGreater(second, first)
                self.assertGreaterEqual(second, first)

    def test_complex(self):
        # comparisons with complex are special:  equality and inequality
        # comparisons should always succeed, but order comparisons should
        # raise TypeError.
        z = 1.0 + 0j
        w = -3.14 + 2.7j

        for v in 1, 1.0, F(1), D(1), complex(1):
            self.assertEqual(z, v)
            self.assertEqual(v, z)

        for v in 2, 2.0, F(2), D(2), complex(2):
            self.assertNotEqual(z, v)
            self.assertNotEqual(v, z)
            self.assertNotEqual(w, v)
            self.assertNotEqual(v, w)

        for v in (1, 1.0, F(1), D(1), complex(1),
                  2, 2.0, F(2), D(2), complex(2), w):
            for op in operator.le, operator.lt, operator.ge, operator.gt:
                self.assertRaises(TypeError, op, z, v)
                self.assertRaises(TypeError, op, v, z)


def test_main():
    run_unittest(HashTest, ComparisonTest)

if __name__ == '__main__':
    test_main()