Lines Matching full:exp

44     for (int exp : exp_array) {
45       ASSERT_FP_EQ(zero, func(zero, exp));
46       ASSERT_FP_EQ(neg_zero, func(neg_zero, exp));
47       ASSERT_FP_EQ(inf, func(inf, exp));
48       ASSERT_FP_EQ(neg_inf, func(neg_inf, exp));
49       ASSERT_FP_EQ(nan, func(nan, exp));
56     for (int32_t exp : exp_array) {
58         ASSERT_FP_EQ(T(val << exp), func(T(val), exp));
59         ASSERT_FP_EQ(T(-1 * (val << exp)), func(T(-val), exp));
67     for (int32_t exp = 10; exp < 100; ++exp) {
68       ASSERT_FP_EQ(inf, func(T(x), exp));
69       ASSERT_FP_EQ(neg_inf, func(-T(x), exp));
81     for (int32_t exp : exp_array) {
82       ASSERT_FP_EQ(func(x, -exp), x > 0 ? zero : neg_zero);
94     for (int32_t exp : exp_array) {
95       ASSERT_FP_EQ(func(x, -exp), x > 0 ? zero : neg_zero);
108     for (int32_t exp = 0; exp <= FPBits::FRACTION_LEN; ++exp) {
113         // We need to use a NormalFloat here (instead of 1 << exp), because
118         two_to_exp = two_to_exp.mul2(exp);
120         ASSERT_FP_EQ(func(x, exp), x * two_to_exp);
121         ASSERT_FP_EQ(func(x, -exp), x / two_to_exp);
132     // exp. The result should be a subnormal number.
134     int exp = -FPBits::MAX_BIASED_EXPONENT - 5;
135     T result = func(x, exp);
140     // But if the exp is so less that normalization leads to zero, then
148     exp = FPBits::MAX_BIASED_EXPONENT + 5;
149     ASSERT_FALSE(FPBits(func(x, exp)).is_inf());
150     // But if the exp is large enough to oversome than the normalization shift,
152     exp = FPBits::MAX_BIASED_EXPONENT + 15;
153     ASSERT_FP_EQ(func(x, exp), inf);