/ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.poisson/ |
eval_param.pass.cpp | 68 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 69 assert(std::abs((var - x_var) / x_var) < 0.01); 70 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 71 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.03); 109 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 110 assert(std::abs((var - x_var) / x_var) < 0.01); 111 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 112 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.04); 150 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 151 assert(std::abs((var - x_var) / x_var) < 0.01) [all...] |
/external/marisa-trie/lib/marisa/ |
bitvector.cc | 176 ranks[rank_id].set_rel1(num_1s - ranks[rank_id].abs()); 180 ranks[rank_id].set_rel2(num_1s - ranks[rank_id].abs()); 184 ranks[rank_id].set_rel3(num_1s - ranks[rank_id].abs()); 188 ranks[rank_id].set_rel4(num_1s - ranks[rank_id].abs()); 192 ranks[rank_id].set_rel5(num_1s - ranks[rank_id].abs()); 196 ranks[rank_id].set_rel6(num_1s - ranks[rank_id].abs()); 200 ranks[rank_id].set_rel7(num_1s - ranks[rank_id].abs()); 221 ranks[rank_id].set_rel1(num_1s - ranks[rank_id].abs()); 224 ranks[rank_id].set_rel2(num_1s - ranks[rank_id].abs()); 227 ranks[rank_id].set_rel3(num_1s - ranks[rank_id].abs()); [all...] |
/external/marisa-trie/v0_1_5/lib/marisa_alpha/ |
bitvector.cc | 176 ranks[rank_id].set_rel1(num_1s - ranks[rank_id].abs()); 180 ranks[rank_id].set_rel2(num_1s - ranks[rank_id].abs()); 184 ranks[rank_id].set_rel3(num_1s - ranks[rank_id].abs()); 188 ranks[rank_id].set_rel4(num_1s - ranks[rank_id].abs()); 192 ranks[rank_id].set_rel5(num_1s - ranks[rank_id].abs()); 196 ranks[rank_id].set_rel6(num_1s - ranks[rank_id].abs()); 200 ranks[rank_id].set_rel7(num_1s - ranks[rank_id].abs()); 221 ranks[rank_id].set_rel1(num_1s - ranks[rank_id].abs()); 224 ranks[rank_id].set_rel2(num_1s - ranks[rank_id].abs()); 227 ranks[rank_id].set_rel3(num_1s - ranks[rank_id].abs()); [all...] |
/libcore/luni/src/main/java/java/lang/ |
StrictMath.java | 60 * <li>{@code abs(-0.0) = +0.0}</li> 61 * <li>{@code abs(+infinity) = +infinity}</li> 62 * <li>{@code abs(-infinity) = +infinity}</li> 63 * <li>{@code abs(NaN) = NaN}</li> 66 public static double abs(double d) { method in class:StrictMath 67 return Math.abs(d); 75 * <li>{@code abs(-0.0) = +0.0}</li> 76 * <li>{@code abs(+infinity) = +infinity}</li> 77 * <li>{@code abs(-infinity) = +infinity}</li> 78 * <li>{@code abs(NaN) = NaN}</li 81 public static float abs(float f) { method in class:StrictMath 91 public static int abs(int i) { method in class:StrictMath 101 public static long abs(long l) { method in class:StrictMath [all...] |
/external/dropbear/libtomcrypt/testprof/ |
pkcs_1_test.c | 31 lparamlen = abs(rand()) % 17; 34 saltlen = abs(rand()) % 17; 37 modlen = 800 + (abs(rand()) % 224); 66 buf[0][i1 = abs(rand()) % l3] ^= 1; 70 buf[1][i2 = abs(rand()) % (l1 - 1)] ^= 1;
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/ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.negbin/ |
eval.pass.cpp | 67 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 68 assert(std::abs((var - x_var) / x_var) < 0.01); 69 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 70 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.02); 107 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 108 assert(std::abs((var - x_var) / x_var) < 0.01); 109 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 110 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01); 147 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 148 assert(std::abs((var - x_var) / x_var) < 0.01) [all...] |
/ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.lognormal/ |
eval.pass.cpp | 69 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 70 assert(std::abs((var - x_var) / x_var) < 0.01); 71 assert(std::abs((skew - x_skew) / x_skew) < 0.05); 72 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.25); 111 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 112 assert(std::abs((var - x_var) / x_var) < 0.01); 113 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 114 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.03); 153 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 154 assert(std::abs((var - x_var) / x_var) < 0.01) [all...] |
eval_param.pass.cpp | 71 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 72 assert(std::abs((var - x_var) / x_var) < 0.01); 73 assert(std::abs((skew - x_skew) / x_skew) < 0.05); 74 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.25); 114 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 115 assert(std::abs((var - x_var) / x_var) < 0.01); 116 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 117 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.03); 157 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 158 assert(std::abs((var - x_var) / x_var) < 0.01) [all...] |
/ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/ |
eval_param.pass.cpp | 66 assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01); 88 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 89 assert(std::abs((var - x_var) / x_var) < 0.01); 90 assert(std::abs(skew - x_skew) < 0.01); 91 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01);
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eval.pass.cpp | 64 assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01); 86 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 87 assert(std::abs((var - x_var) / x_var) < 0.01); 88 assert(std::abs(skew - x_skew) < 0.01); 89 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01); 124 assert(std::abs((double)Ni/N - prob[i]) / prob[i] < .01); 146 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 147 assert(std::abs((var - x_var) / x_var) < 0.01); 148 assert(std::abs(skew - x_skew) < 0.01); 149 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01) [all...] |
/external/eigen/test/ |
stable_norm.cpp | 76 VERIFY(!isFinite(internal::sqrt(-internal::abs(big)))); 79 VERIFY(isFinite(internal::sqrt(size)*internal::abs(big))); 80 VERIFY_IS_NOT_APPROX(internal::sqrt(copy(vbig.squaredNorm())), internal::abs(internal::sqrt(size)*big)); // here the default norm must fail 81 VERIFY_IS_APPROX(vbig.stableNorm(), internal::sqrt(size)*internal::abs(big)); 82 VERIFY_IS_APPROX(vbig.blueNorm(), internal::sqrt(size)*internal::abs(big)); 83 VERIFY_IS_APPROX(vbig.hypotNorm(), internal::sqrt(size)*internal::abs(big)); 86 VERIFY(isFinite(internal::sqrt(size)*internal::abs(small))); 87 VERIFY_IS_NOT_APPROX(internal::sqrt(copy(vsmall.squaredNorm())), internal::abs(internal::sqrt(size)*small)); // here the default norm must fail 88 VERIFY_IS_APPROX(vsmall.stableNorm(), internal::sqrt(size)*internal::abs(small)); 89 VERIFY_IS_APPROX(vsmall.blueNorm(), internal::sqrt(size)*internal::abs(small)) [all...] |
/ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.uni/rand.dist.uni.real/ |
eval.pass.cpp | 67 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 68 assert(std::abs((var - x_var) / x_var) < 0.01); 69 assert(std::abs(skew - x_skew) < 0.01); 70 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01); 107 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 108 assert(std::abs((var - x_var) / x_var) < 0.01); 109 assert(std::abs(skew - x_skew) < 0.01); 110 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01); 147 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 148 assert(std::abs((var - x_var) / x_var) < 0.01) [all...] |
/external/eigen/blas/ |
level1_impl.h | 61 else vector(x,*n,std::abs(*incx)).cwiseAbs().maxCoeff(&ret); 72 else vector(x,*n,std::abs(*incx)).cwiseAbs().minCoeff(&ret); 85 Scalar aa = internal::abs(a); 86 Scalar ab = internal::abs(b); 111 if(internal::abs(a)==RealScalar(0)) 119 scale = internal::abs(a) + internal::abs(b); 121 alpha = a/internal::abs(a); 122 *c = internal::abs(a)/norm; 144 else vector(x,*n,std::abs(*incx)) *= alpha [all...] |
level1_real_impl.h | 23 else return vector(x,*n,std::abs(*incx)).cwiseAbs().sum(); 54 else return vector(x,*n,std::abs(*incx)).stableNorm(); 67 StridedVectorType vx(vector(x,*n,std::abs(*incx))); 68 StridedVectorType vy(vector(y,*n,std::abs(*incy)));
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/external/eigen/unsupported/test/ |
polynomialsolver.cpp | 45 evr[i] = std::abs( poly_eval( pols, roots[i] ) ); } 53 cerr << "Abs value of the polynomial at the roots: " << evr.transpose() << endl; 59 aux = roots.array().abs(); 132 VERIFY( internal::isApprox( roots.array().abs().maxCoeff(), 133 internal::abs( psolve.greatestRoot() ), psPrec ) ); 136 VERIFY( internal::isApprox( roots.array().abs().minCoeff(), 137 internal::abs( psolve.smallestRoot() ), psPrec ) ); 144 VERIFY( internal::isApprox( real_roots.array().abs().maxCoeff(), internal::abs(r), psPrec ) ); } 150 VERIFY( internal::isApprox( real_roots.array().abs().minCoeff(), internal::abs( r ), psPrec ) ); [all...] |
/ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.uni/rand.dist.uni.int/ |
eval.pass.cpp | 68 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 69 assert(std::abs((var - x_var) / x_var) < 0.01); 70 assert(std::abs(skew - x_skew) < 0.01); 71 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01); 109 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 110 assert(std::abs((var - x_var) / x_var) < 0.01); 111 assert(std::abs(skew - x_skew) < 0.01); 112 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01); 150 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 151 assert(std::abs((var - x_var) / x_var) < 0.01) [all...] |
/external/libvpx/libvpx/test/ |
set_roi.cc | 82 const int transq = internalq_trans[abs(delta_q[i])]; 83 if (abs(cpi.segment_feature_data[MB_LVL_ALT_Q][i]) != transq) { 129 deltas_valid = ((abs(rand_deltas[0]) <= 63) && 130 (abs(rand_deltas[1]) <= 63) && 131 (abs(rand_deltas[2]) <= 63) && 132 (abs(rand_deltas[3]) <= 63)) ? 0 : -1;
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/external/eigen/unsupported/doc/examples/ |
PolynomialSolver1.cpp | 35 for( int i=0; i<6; ++i ){ evals[i] = std::abs( poly_eval( hardCase_polynomial, psolvef.roots()[i] ) ); } 45 evals[i] = std::abs( poly_eval( hardCase_polynomial, castedRoot ) ); 52 cout << "Norm of the difference: " << internal::abs( psolvef.roots()[5] - castedRoot ) << endl;
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/external/webkit/Source/JavaScriptCore/tests/mozilla/ecma/String/ |
15.5.4.7-3.js | 159 if ( Math.abs(n) == 0 || Math.abs(n) == Infinity ) { 165 return ( sign * Math.floor(Math.abs(n)) );
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/ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.cauchy/ |
eval.pass.cpp | 44 assert(std::abs(f(u[i], a, b) - double(i)/N) < .001); 60 assert(std::abs(f(u[i], a, b) - double(i)/N) < .001); 76 assert(std::abs(f(u[i], a, b) - double(i)/N) < .001);
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/ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.weibull/ |
eval.pass.cpp | 71 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 72 assert(std::abs((var - x_var) / x_var) < 0.01); 73 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 74 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.03); 115 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 116 assert(std::abs((var - x_var) / x_var) < 0.01); 117 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 118 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01); 159 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 160 assert(std::abs((var - x_var) / x_var) < 0.01) [all...] |
eval_param.pass.cpp | 72 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 73 assert(std::abs((var - x_var) / x_var) < 0.01); 74 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 75 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.01); 117 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 118 assert(std::abs((var - x_var) / x_var) < 0.01); 119 assert(std::abs((skew - x_skew) / x_skew) < 0.01); 120 assert(std::abs((kurtosis - x_kurtosis) / x_kurtosis) < 0.03); 162 assert(std::abs((mean - x_mean) / x_mean) < 0.01); 163 assert(std::abs((var - x_var) / x_var) < 0.01) [all...] |
/external/chromium/android/ |
prefix.h | 50 inline size_t abs(size_t x) { return x; } function
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/external/emma/core/java14/com/vladium/util/ |
IJREVersion.java | 65 StrictMath.abs (1.0);
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/ndk/sources/cxx-stl/llvm-libc++/test/thread/thread.threads/thread.thread.this/ |
sleep_for.pass.cpp | 31 assert(std::abs(ns.count()) < err.count());
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