/dports/science/py-pymatgen/pymatgen-2022.0.15/pymatgen/analysis/ |
H A D | icsd_bv.yaml | 3 mean: 0.7656466923357081 7 mean: 0.8458145349421629 11 mean: 0.9355055821858393 15 mean: 1.3783868963043135 427 mean: 0.0 535 mean: 0.0 859 mean: 0.0 939 mean: 0.0 967 mean: 0.0 1175 mean: 0.0 [all …]
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/dports/www/firefox-esr/firefox-91.8.0/mfbt/tests/ |
H A D | TestRollingMean.cpp | 55 MOZ_RELEASE_ASSERT(mean.mean() == 4); in testClear() 57 mean.clear(); in testClear() 61 MOZ_RELEASE_ASSERT(mean.mean() == 3); in testClear() 68 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testRolling() 71 MOZ_RELEASE_ASSERT(mean.mean() == 15); in testRolling() 74 MOZ_RELEASE_ASSERT(mean.mean() == 21); in testRolling() 77 MOZ_RELEASE_ASSERT(mean.mean() == 20); in testRolling() 80 MOZ_RELEASE_ASSERT(mean.mean() == 16); in testRolling() 87 MOZ_RELEASE_ASSERT(mean.mean() == MyClass(4)); in testClass() 99 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testMove() [all …]
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/dports/www/firefox/firefox-99.0/mfbt/tests/ |
H A D | TestRollingMean.cpp | 55 MOZ_RELEASE_ASSERT(mean.mean() == 4); in testClear() 57 mean.clear(); in testClear() 61 MOZ_RELEASE_ASSERT(mean.mean() == 3); in testClear() 68 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testRolling() 71 MOZ_RELEASE_ASSERT(mean.mean() == 15); in testRolling() 74 MOZ_RELEASE_ASSERT(mean.mean() == 21); in testRolling() 77 MOZ_RELEASE_ASSERT(mean.mean() == 20); in testRolling() 80 MOZ_RELEASE_ASSERT(mean.mean() == 16); in testRolling() 87 MOZ_RELEASE_ASSERT(mean.mean() == MyClass(4)); in testClass() 99 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testMove() [all …]
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/dports/lang/spidermonkey60/firefox-60.9.0/mfbt/tests/ |
H A D | TestRollingMean.cpp | 65 MOZ_RELEASE_ASSERT(mean.mean() == 4); in testClear() 67 mean.clear(); in testClear() 71 MOZ_RELEASE_ASSERT(mean.mean() == 3); in testClear() 79 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testRolling() 82 MOZ_RELEASE_ASSERT(mean.mean() == 15); in testRolling() 85 MOZ_RELEASE_ASSERT(mean.mean() == 21); in testRolling() 88 MOZ_RELEASE_ASSERT(mean.mean() == 20); in testRolling() 91 MOZ_RELEASE_ASSERT(mean.mean() == 16); in testRolling() 99 MOZ_RELEASE_ASSERT(mean.mean() == MyClass(4)); in testClass() 112 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testMove() [all …]
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/dports/www/firefox-legacy/firefox-52.8.0esr/mfbt/tests/ |
H A D | TestRollingMean.cpp | 65 MOZ_RELEASE_ASSERT(mean.mean() == 4); in testClear() 67 mean.clear(); in testClear() 71 MOZ_RELEASE_ASSERT(mean.mean() == 3); in testClear() 79 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testRolling() 82 MOZ_RELEASE_ASSERT(mean.mean() == 15); in testRolling() 85 MOZ_RELEASE_ASSERT(mean.mean() == 21); in testRolling() 88 MOZ_RELEASE_ASSERT(mean.mean() == 20); in testRolling() 91 MOZ_RELEASE_ASSERT(mean.mean() == 16); in testRolling() 99 MOZ_RELEASE_ASSERT(mean.mean() == MyClass(4)); in testClass() 112 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testMove() [all …]
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/dports/mail/thunderbird/thunderbird-91.8.0/mfbt/tests/ |
H A D | TestRollingMean.cpp | 55 MOZ_RELEASE_ASSERT(mean.mean() == 4); in testClear() 57 mean.clear(); in testClear() 61 MOZ_RELEASE_ASSERT(mean.mean() == 3); in testClear() 68 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testRolling() 71 MOZ_RELEASE_ASSERT(mean.mean() == 15); in testRolling() 74 MOZ_RELEASE_ASSERT(mean.mean() == 21); in testRolling() 77 MOZ_RELEASE_ASSERT(mean.mean() == 20); in testRolling() 80 MOZ_RELEASE_ASSERT(mean.mean() == 16); in testRolling() 87 MOZ_RELEASE_ASSERT(mean.mean() == MyClass(4)); in testClass() 99 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testMove() [all …]
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/dports/lang/spidermonkey78/firefox-78.9.0/mfbt/tests/ |
H A D | TestRollingMean.cpp | 55 MOZ_RELEASE_ASSERT(mean.mean() == 4); in testClear() 57 mean.clear(); in testClear() 61 MOZ_RELEASE_ASSERT(mean.mean() == 3); in testClear() 68 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testRolling() 71 MOZ_RELEASE_ASSERT(mean.mean() == 15); in testRolling() 74 MOZ_RELEASE_ASSERT(mean.mean() == 21); in testRolling() 77 MOZ_RELEASE_ASSERT(mean.mean() == 20); in testRolling() 80 MOZ_RELEASE_ASSERT(mean.mean() == 16); in testRolling() 87 MOZ_RELEASE_ASSERT(mean.mean() == MyClass(4)); in testClass() 99 MOZ_RELEASE_ASSERT(mean.mean() == 10); in testMove() [all …]
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/dports/math/octave-forge-statistics/statistics-1.4.3/install-conditionally/base/ |
H A D | mean.m | 18 ## @deftypefn {} {} mean (@var{x}) 24 ## The mean is defined as 53 ## Compute the geometric mean. 56 ## Compute the harmonic mean. 157 %! assert (mean (x), 0); 158 %! assert (mean (y), 0); 159 %! assert (mean (z), [0, 10]); 173 %!assert (mean ([]), NaN) 248 %!assert (mean ([], 3), []) 257 %!error mean () [all …]
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/dports/science/clhep/2.4.1.0/CLHEP/Random/src/ |
H A D | RandBreitWigner.cc | 80 return std::sqrt(mean*mean + mean*displ); in shootM2() 90 lower = std::atan( (tmp*tmp-mean*mean)/(mean*gamma) ); in shootM2() 91 upper = std::atan( ((mean+cut)*(mean+cut)-mean*mean)/(mean*gamma) ); in shootM2() 95 return std::sqrt(std::max(0.0, mean*mean + mean*displ)); in shootM2() 155 return std::sqrt(mean*mean + mean*displ); in shootM2() 166 lower = std::atan( (tmp*tmp-mean*mean)/(mean*gamma) ); in shootM2() 167 upper = std::atan( ((mean+cut)*(mean+cut)-mean*mean)/(mean*gamma) ); in shootM2() 171 return std::sqrt( std::max(0.0, mean*mean+mean*displ) ); in shootM2() 240 return std::sqrt(mean*mean + mean*displ); in fireM2() 250 lower = std::atan( (tmp*tmp-mean*mean)/(mean*gamma) ); in fireM2() [all …]
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/dports/math/armadillo/armadillo-10.7.1/tests2/ |
H A D | fn_mean.cpp | 38 double r = mean(mean(m)); 66 r = mean(mean(trans(m))); 119 r = mean(mean(trans(m))); 152 double dr = mean(mean(x)); 196 dr = mean(mean(1.2 * x)); 197 ddr = mean(mean(1.2 * d)); 222 dr = mean(mean(x + y)); 223 ddr = mean(mean(d + e)); 354 dr = mean(mean(x + y)); 355 ddr = mean(mean(d + e)); [all …]
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/dports/audio/mixxx/mixxx-2.3.0/src/test/ |
H A D | movinginterquartilemean_test.cpp | 16 double mean; in TEST_F() local 18 mean = iqm.insert(0); in TEST_F() 22 mean = iqm.mean(); in TEST_F() 23 EXPECT_DOUBLE_EQ(-4, mean); in TEST_F() 29 EXPECT_DOUBLE_EQ(0, mean); in TEST_F() 31 mean = iqm.insert(0); in TEST_F() 35 mean = iqm.mean(); in TEST_F() 41 double mean; in TEST_F() local 43 mean = iqm.insert(i); in TEST_F() 47 mean = iqm.mean(); in TEST_F() [all …]
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/dports/biology/mapm3/mapm3-3.0_1/lib/ |
H A D | histogrm.c | 42 if (dist[i]>=mean-2.25*sigma&&dist[i]<mean-2*sigma) 44 if (dist[i]>=mean-2*sigma&&dist[i]<mean-1.75*sigma) 50 if (dist[i]>=mean-1.25*sigma&&dist[i]<mean-sigma) 52 if (dist[i]>=mean-sigma&&dist[i]<mean-.75*sigma) 54 if (dist[i]>=mean-.75*sigma&&dist[i]<mean-.5*sigma) 56 if (dist[i]>=mean-.5*sigma&&dist[i]<mean-.25*sigma) 58 if (dist[i]>=mean-.25*sigma&&dist[i]<mean) 60 if (dist[i]>=mean&&dist[i]<mean+.25*sigma) 62 if (dist[i]>=mean+.25*sigma&&dist[i]<mean+.5*sigma) 66 if (dist[i]>=mean+.75*sigma&&dist[i]<mean+sigma) [all …]
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/dports/misc/vxl/vxl-3.3.2/contrib/brl/bbas/bsta/ |
H A D | bsta_beta.hxx | 26 T mean=0; in bsta_beta() local 30 mean+=x[i]; in bsta_beta() 33 mean/=x.size(); in bsta_beta() 42 T t = (mean*(1-mean)/var)-1; in bsta_beta() 43 alpha_=mean*t; in bsta_beta() 44 beta_=(1-mean)*t; in bsta_beta() 55 if (mean<0.5) in bsta_beta_from_moments() 57 if (mean*mean*mean-mean*mean+mean*var+var>0) in bsta_beta_from_moments() 62 if (mean*mean*mean-2*mean*mean+mean*(1+var)-2*var<0) in bsta_beta_from_moments() 105 T t = mean*(1-mean)/var-1; in bsta_beta_from_moments() [all …]
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/dports/math/apache-commons-math/commons-math3-3.6.1-src/src/test/java/org/apache/commons/math3/stat/descriptive/moment/ |
H A D | FirstMomentTest.java | 45 return this.mean; in expectedValue() 86 mean.clear(); in testSpecialValues() 87 mean.increment(Double.POSITIVE_INFINITY); in testSpecialValues() 91 mean.clear(); in testSpecialValues() 96 mean.clear(); in testSpecialValues() 97 mean.increment(Double.NaN); in testSpecialValues() 101 mean.clear(); in testSpecialValues() 102 mean.increment(Double.NaN); in testSpecialValues() 106 mean.clear(); in testSpecialValues() 107 mean.increment(Double.NaN); in testSpecialValues() [all …]
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/dports/math/R-cran-Matching/Matching/tests/ |
H A D | DehejiaWahba.Rout.save | 79 mean treatment........ 25.816 25.816 80 mean control.......... 25.054 25.006 81 std mean diff......... 10.655 11.317 83 mean raw eQQ diff..... 0.94054 0.41618 87 mean eCDF diff........ 0.025364 0.010597 99 mean treatment........ 717.39 717.39 100 mean control.......... 677.32 673.08 101 std mean diff......... 9.2937 10.275 103 mean raw eQQ diff..... 56.076 28.948 107 mean eCDF diff........ 0.025364 0.010597 [all …]
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/dports/math/octave/octave-6.4.0/scripts/statistics/ |
H A D | mean.m | 163 error ("mean: mean type '%s' not recognized", mean_type); 205 %!error <Invalid call to mean. Correct usage is> mean () 206 %!error <Invalid call to mean. Correct usage is> mean (1, 2, 3, 4) 208 %!error <Invalid call to mean. Correct usage is> mean (1, 2, 3) 209 %!error <Invalid call to mean. Correct usage is> mean (1, ones (2,2)) 213 %!error <mean type 'b' not recognized> mean (1, "b") 214 %!error <Invalid call to mean. Correct usage is> mean (1, 1, "foo") 220 %! assert (mean (in, "default"), mean (in)) 225 %! assert (mean (in, "default"), mean (in)) 232 %! assert (mean (in, "default"), mean (in)) [all …]
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/dports/math/py-chaospy/chaospy-4.3.3/chaospy/distributions/baseclass/ |
H A D | mean_covariance.py | 37 mean=0, argument 43 mean = mean if isinstance(mean, Distribution) else numpy.atleast_1d(mean) 80 if len(mean) == 1: 96 parameters=dict(mean=mean, covariance=covariance), 109 return dict(mean=mean, sigma=self._covariance, cache=cache) 112 mean = [mean._get_cache(dim, cache, get=0) 118 mean = numpy.array(mean) 119 mean = mean[self._rotation] 134 return dict(idx=idx, mean=mean, sigma=sigma, dim=dim, mut=mu_transform, cache=cache) 149 mean = mean[dim]+mut.dot((numpy.vstack(conditions).T-mean[:dim]).T) [all …]
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/dports/science/colt/colt/src/cern/jet/random/ |
H A D | BreitWignerMeanSquare.java | 34 super(mean,gamma,cut,randomGenerator); in BreitWignerMeanSquare() 52 public double nextDouble(double mean,double gamma,double cut) { in nextDouble() argument 53 if (gamma == 0.0) return mean; in nextDouble() 55 double val = Math.atan(-mean/gamma); in nextDouble() 58 return Math.sqrt(mean*mean + mean*displ); in nextDouble() 61 double tmp = Math.max(0.0,mean-cut); in nextDouble() 62 double lower = Math.atan( (tmp*tmp-mean*mean)/(mean*gamma) ); in nextDouble() 63 double upper = Math.atan( ((mean+cut)*(mean+cut)-mean*mean)/(mean*gamma) ); in nextDouble() 67 return Math.sqrt(Math.max(0.0, mean*mean + mean*displ)); in nextDouble() 74 public static double staticNextDouble(double mean,double gamma,double cut) { in staticNextDouble() argument [all …]
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/dports/devel/boost-docs/boost_1_72_0/boost/math/distributions/ |
H A D | poisson.hpp | 64 if(!(boost::math::isfinite)(mean) || (mean < 0)) in check_mean() 77 if( !(boost::math::isfinite)(mean) || (mean <= 0)) in check_mean_NZ() 255 RealType mean = dist.mean(); 260 mean, 268 if (mean == 0) 301 RealType mean = dist.mean(); 306 mean, 313 if (mean == 0) 352 RealType mean = dist.mean(); 358 mean, [all …]
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/dports/devel/hyperscan/boost_1_75_0/boost/math/distributions/ |
H A D | poisson.hpp | 64 if(!(boost::math::isfinite)(mean) || (mean < 0)) in check_mean() 77 if( !(boost::math::isfinite)(mean) || (mean <= 0)) in check_mean_NZ() 255 RealType mean = dist.mean(); 260 mean, 268 if (mean == 0) 301 RealType mean = dist.mean(); 306 mean, 313 if (mean == 0) 352 RealType mean = dist.mean(); 358 mean, [all …]
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/dports/devel/R-cran-BH/BH/inst/include/boost/math/distributions/ |
H A D | poisson.hpp | 64 if(!(boost::math::isfinite)(mean) || (mean < 0)) in check_mean() 77 if( !(boost::math::isfinite)(mean) || (mean <= 0)) in check_mean_NZ() 255 RealType mean = dist.mean(); 260 mean, 268 if (mean == 0) 301 RealType mean = dist.mean(); 306 mean, 313 if (mean == 0) 352 RealType mean = dist.mean(); 358 mean, [all …]
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/dports/databases/percona57-pam-for-mysql/boost_1_59_0/boost/math/distributions/ |
H A D | poisson.hpp | 64 if(!(boost::math::isfinite)(mean) || (mean < 0)) in check_mean() 77 if( !(boost::math::isfinite)(mean) || (mean <= 0)) in check_mean_NZ() 255 RealType mean = dist.mean(); 260 mean, 268 if (mean == 0) 301 RealType mean = dist.mean(); 306 mean, 313 if (mean == 0) 352 RealType mean = dist.mean(); 358 mean, [all …]
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/dports/science/py-scipy/scipy-1.7.1/scipy/_lib/boost/boost/math/distributions/ |
H A D | poisson.hpp | 64 if(!(boost::math::isfinite)(mean) || (mean < 0)) in check_mean() 77 if( !(boost::math::isfinite)(mean) || (mean <= 0)) in check_mean_NZ() 255 RealType mean = dist.mean(); 260 mean, 268 if (mean == 0) 301 RealType mean = dist.mean(); 306 mean, 313 if (mean == 0) 352 RealType mean = dist.mean(); 358 mean, [all …]
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/dports/databases/xtrabackup/boost_1_59_0/boost/math/distributions/ |
H A D | poisson.hpp | 64 if(!(boost::math::isfinite)(mean) || (mean < 0)) in check_mean() 77 if( !(boost::math::isfinite)(mean) || (mean <= 0)) in check_mean_NZ() 255 RealType mean = dist.mean(); 260 mean, 268 if (mean == 0) 301 RealType mean = dist.mean(); 306 mean, 313 if (mean == 0) 352 RealType mean = dist.mean(); 358 mean, [all …]
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/dports/databases/percona57-server/boost_1_59_0/boost/math/distributions/ |
H A D | poisson.hpp | 64 if(!(boost::math::isfinite)(mean) || (mean < 0)) in check_mean() 77 if( !(boost::math::isfinite)(mean) || (mean <= 0)) in check_mean_NZ() 255 RealType mean = dist.mean(); 260 mean, 268 if (mean == 0) 301 RealType mean = dist.mean(); 306 mean, 313 if (mean == 0) 352 RealType mean = dist.mean(); 358 mean, [all …]
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