| /dports/graphics/dssim/dssim-3.1.2/cargo-crates/libaom-sys-0.9.1/vendor/aom_dsp/ |
| H A D | noise_util.c | 159 double *mean_x, *mean_y, *var_x, *var_y; in aom_noise_data_validate() local
163 mean_x = (double *)aom_malloc(sizeof(*mean_x) * w); in aom_noise_data_validate()
165 mean_y = (double *)aom_malloc(sizeof(*mean_x) * h); in aom_noise_data_validate()
168 memset(mean_x, 0, sizeof(*mean_x) * w); in aom_noise_data_validate()
178 mean_x[x] += d; in aom_noise_data_validate()
203 mean_x[x] /= w; in aom_noise_data_validate()
204 var_x[x] = var_x[x] / w - mean_x[x] * mean_x[x]; in aom_noise_data_validate()
210 if (fabs(mean_x[x] - mean) >= kMeanThreshold) { in aom_noise_data_validate()
211 fprintf(stderr, "Mean distance too large %f %f\n", mean_x[x], mean); in aom_noise_data_validate()
217 aom_free(mean_x); in aom_noise_data_validate()
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| /dports/www/firefox-esr/firefox-91.8.0/third_party/aom/aom_dsp/ |
| H A D | noise_util.c | 157 double *mean_x, *mean_y, *var_x, *var_y; in aom_noise_data_validate() local
161 mean_x = (double *)aom_malloc(sizeof(*mean_x) * w); in aom_noise_data_validate()
163 mean_y = (double *)aom_malloc(sizeof(*mean_x) * h); in aom_noise_data_validate()
166 memset(mean_x, 0, sizeof(*mean_x) * w); in aom_noise_data_validate()
176 mean_x[x] += d; in aom_noise_data_validate()
201 mean_x[x] /= w; in aom_noise_data_validate()
202 var_x[x] = var_x[x] / w - mean_x[x] * mean_x[x]; in aom_noise_data_validate()
208 if (fabs(mean_x[x] - mean) >= kMeanThreshold) { in aom_noise_data_validate()
209 fprintf(stderr, "Mean distance too large %f %f\n", mean_x[x], mean); in aom_noise_data_validate()
215 aom_free(mean_x); in aom_noise_data_validate()
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| /dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/libaom/source/libaom/aom_dsp/ |
| H A D | noise_util.c | 159 double *mean_x, *mean_y, *var_x, *var_y; in aom_noise_data_validate() local
163 mean_x = (double *)aom_malloc(sizeof(*mean_x) * w); in aom_noise_data_validate()
165 mean_y = (double *)aom_malloc(sizeof(*mean_x) * h); in aom_noise_data_validate()
168 memset(mean_x, 0, sizeof(*mean_x) * w); in aom_noise_data_validate()
178 mean_x[x] += d; in aom_noise_data_validate()
203 mean_x[x] /= w; in aom_noise_data_validate()
204 var_x[x] = var_x[x] / w - mean_x[x] * mean_x[x]; in aom_noise_data_validate()
210 if (fabs(mean_x[x] - mean) >= kMeanThreshold) { in aom_noise_data_validate()
211 fprintf(stderr, "Mean distance too large %f %f\n", mean_x[x], mean); in aom_noise_data_validate()
217 aom_free(mean_x); in aom_noise_data_validate()
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| /dports/www/firefox/firefox-99.0/third_party/aom/aom_dsp/ |
| H A D | noise_util.c | 157 double *mean_x, *mean_y, *var_x, *var_y; in aom_noise_data_validate() local
161 mean_x = (double *)aom_malloc(sizeof(*mean_x) * w); in aom_noise_data_validate()
163 mean_y = (double *)aom_malloc(sizeof(*mean_x) * h); in aom_noise_data_validate()
166 memset(mean_x, 0, sizeof(*mean_x) * w); in aom_noise_data_validate()
176 mean_x[x] += d; in aom_noise_data_validate()
201 mean_x[x] /= w; in aom_noise_data_validate()
202 var_x[x] = var_x[x] / w - mean_x[x] * mean_x[x]; in aom_noise_data_validate()
208 if (fabs(mean_x[x] - mean) >= kMeanThreshold) { in aom_noise_data_validate()
209 fprintf(stderr, "Mean distance too large %f %f\n", mean_x[x], mean); in aom_noise_data_validate()
215 aom_free(mean_x); in aom_noise_data_validate()
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| /dports/mail/thunderbird/thunderbird-91.8.0/third_party/aom/aom_dsp/ |
| H A D | noise_util.c | 157 double *mean_x, *mean_y, *var_x, *var_y; in aom_noise_data_validate() local
161 mean_x = (double *)aom_malloc(sizeof(*mean_x) * w); in aom_noise_data_validate()
163 mean_y = (double *)aom_malloc(sizeof(*mean_x) * h); in aom_noise_data_validate()
166 memset(mean_x, 0, sizeof(*mean_x) * w); in aom_noise_data_validate()
176 mean_x[x] += d; in aom_noise_data_validate()
201 mean_x[x] /= w; in aom_noise_data_validate()
202 var_x[x] = var_x[x] / w - mean_x[x] * mean_x[x]; in aom_noise_data_validate()
208 if (fabs(mean_x[x] - mean) >= kMeanThreshold) { in aom_noise_data_validate()
209 fprintf(stderr, "Mean distance too large %f %f\n", mean_x[x], mean); in aom_noise_data_validate()
215 aom_free(mean_x); in aom_noise_data_validate()
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| /dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/libaom/source/libaom/aom_dsp/ |
| H A D | noise_util.c | 159 double *mean_x, *mean_y, *var_x, *var_y; in aom_noise_data_validate() local
163 mean_x = (double *)aom_malloc(sizeof(*mean_x) * w); in aom_noise_data_validate()
165 mean_y = (double *)aom_malloc(sizeof(*mean_x) * h); in aom_noise_data_validate()
168 memset(mean_x, 0, sizeof(*mean_x) * w); in aom_noise_data_validate()
178 mean_x[x] += d; in aom_noise_data_validate()
203 mean_x[x] /= w; in aom_noise_data_validate()
204 var_x[x] = var_x[x] / w - mean_x[x] * mean_x[x]; in aom_noise_data_validate()
210 if (fabs(mean_x[x] - mean) >= kMeanThreshold) { in aom_noise_data_validate()
211 fprintf(stderr, "Mean distance too large %f %f\n", mean_x[x], mean); in aom_noise_data_validate()
217 aom_free(mean_x); in aom_noise_data_validate()
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| /dports/multimedia/aom/aom-3.2.0/aom_dsp/ |
| H A D | noise_util.c | 159 double *mean_x, *mean_y, *var_x, *var_y; in aom_noise_data_validate() local
163 mean_x = (double *)aom_malloc(sizeof(*mean_x) * w); in aom_noise_data_validate()
165 mean_y = (double *)aom_malloc(sizeof(*mean_x) * h); in aom_noise_data_validate()
168 memset(mean_x, 0, sizeof(*mean_x) * w); in aom_noise_data_validate()
178 mean_x[x] += d; in aom_noise_data_validate()
203 mean_x[x] /= w; in aom_noise_data_validate()
204 var_x[x] = var_x[x] / w - mean_x[x] * mean_x[x]; in aom_noise_data_validate()
210 if (fabs(mean_x[x] - mean) >= kMeanThreshold) { in aom_noise_data_validate()
211 fprintf(stderr, "Mean distance too large %f %f\n", mean_x[x], mean); in aom_noise_data_validate()
217 aom_free(mean_x); in aom_noise_data_validate()
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| /dports/lang/spidermonkey78/firefox-78.9.0/third_party/aom/aom_dsp/ |
| H A D | noise_util.c | 157 double *mean_x, *mean_y, *var_x, *var_y; in aom_noise_data_validate() local
161 mean_x = (double *)aom_malloc(sizeof(*mean_x) * w); in aom_noise_data_validate()
163 mean_y = (double *)aom_malloc(sizeof(*mean_x) * h); in aom_noise_data_validate()
166 memset(mean_x, 0, sizeof(*mean_x) * w); in aom_noise_data_validate()
176 mean_x[x] += d; in aom_noise_data_validate()
201 mean_x[x] /= w; in aom_noise_data_validate()
202 var_x[x] = var_x[x] / w - mean_x[x] * mean_x[x]; in aom_noise_data_validate()
208 if (fabs(mean_x[x] - mean) >= kMeanThreshold) { in aom_noise_data_validate()
209 fprintf(stderr, "Mean distance too large %f %f\n", mean_x[x], mean); in aom_noise_data_validate()
215 aom_free(mean_x); in aom_noise_data_validate()
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| /dports/biology/fasta/fasta/ |
| H A D | scalesws.c | 277 double mean_x, mean_y, var_x, var_y, covar_xy; in fit_llen() local
336 mean_x = mean_y = 0.0; in fit_llen()
344 mean_x += (double)llen_hist[j] * x; in fit_llen()
350 mean_x /= n; mean_y /= n; in fit_llen()
351 var_x = var_x / (float)n - mean_x * mean_x; in fit_llen()
374 mu2 = mean_y2 - rho2 * mean_x; in fit_llen()
483 mean_x = mean_y = mean_y2 = 0.0; in fit_llens()
491 mean_x += (double)llen_hist[j] * x; in fit_llens()
497 mean_x /= n; mean_y /= n; in fit_llens()
498 var_x = var_x / (float)n - mean_x * mean_x; in fit_llens()
[all …]
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| H A D | scalesw2.c | 278 double mean_x, mean_y, var_x, var_y, covar_xy; in fit_llen() local
339 mean_x = mean_y = 0.0; in fit_llen()
347 mean_x += (double)llen_hist[j] * x; in fit_llen()
353 mean_x /= n; mean_y /= n; in fit_llen()
354 var_x = var_x / (float)n - mean_x * mean_x; in fit_llen()
377 mu2 = mean_y2 - rho2 * mean_x; in fit_llen()
486 mean_x = mean_y = mean_y2 = 0.0; in fit_llens()
494 mean_x += (double)llen_hist[j] * x; in fit_llens()
500 mean_x /= n; mean_y /= n; in fit_llens()
501 var_x = var_x / (float)n - mean_x * mean_x; in fit_llens()
[all …]
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| /dports/astro/oskar/OSKAR-2.8.0/oskar/math/src/ |
| H A D | oskar_fit_ellipse.c | 27 float mean_x = 0.0f, mean_y = 0.0f, sumX[5]; in oskar_fit_ellipse_f() local
43 mean_x += x[i]; in oskar_fit_ellipse_f()
46 mean_x /= (float)num_points; in oskar_fit_ellipse_f()
54 const float x_ = x[i] - mean_x; in oskar_fit_ellipse_f()
142 double mean_x = 0.0, mean_y = 0.0, sumX[5]; in oskar_fit_ellipse_d() local
158 mean_x += x[i]; in oskar_fit_ellipse_d()
161 mean_x /= (double)num_points; in oskar_fit_ellipse_d()
169 const double x_ = x[i] - mean_x; in oskar_fit_ellipse_d()
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| /dports/net-mgmt/bosun/bosun-0.9.0-preview/vendor/github.com/GaryBoone/GoStats/stats/ |
| H A D | regression.go | 107 mean_x := r.sx / r.n
108 return s * math.Sqrt(1.0/r.n+mean_x*mean_x/ss_xx)
133 mean_x := r.sx / r.n
134 interceptStdErr = s * math.Sqrt(1.0/r.n+mean_x*mean_x/ss_xx)
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| /dports/devel/rust-analyzer/rust-analyzer-2021-12-20/crates/test_utils/src/ |
| H A D | assert_linear.rs | 71 let mean_x = mean(&xs); in finish() localVariable
78 num += (x - mean_x) * (y - mean_y); in finish()
79 denom += (x - mean_x).powi(2); in finish()
84 let a = mean_y - b * mean_x; in finish()
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| /dports/lang/rust/rustc-1.58.1-src/src/tools/rust-analyzer/crates/test_utils/src/ |
| H A D | assert_linear.rs | 71 let mean_x = mean(&xs); in finish() localVariable
78 num += (x - mean_x) * (y - mean_y); in finish()
79 denom += (x - mean_x).powi(2); in finish()
84 let a = mean_y - b * mean_x; in finish()
|
| /dports/audio/praat/praat-6.2.03/external/gsl/ |
| H A D | gsl_statistics__covariance_source.c | 107 long double mean_x, mean_y;
118 mean_x = data1[0 * stride1];
124 delta_x = data1[i * stride1] - mean_x;
129 mean_x += delta_x / (i + 1.0);
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| /dports/misc/vxl/vxl-3.3.2/contrib/mul/msm/tools/ |
| H A D | msm_compare_markups.cxx | 342 double mean_x() const { return sum1/n; } in mean_x() function in mbm_covar_stats_2d
344 vgl_point_2d<double> mean() const { return {mean_x(),mean_y()}; } in mean()
346 double var11() const { return sum11/n-mean_x()*mean_x(); } in var11()
347 double var12() const { return sum12/n-mean_x()*mean_y(); } in var12()
386 vgl_point_2d<double> pt(ref_shape[k].x()+pt_stats[k].mean_x(), in write_ellipses()
409 vgl_point_2d<double> pt(ref_shape[k].x()+pt_stats[k].mean_x(), in write_ellipses()
443 vgl_point_2d<double> pt(ref_shape[k].x()+pt_stats[k].mean_x(), in write_centre_points()
460 vgl_point_2d<double> pt(ref_shape[k].x()+pt_stats[k].mean_x(), in write_centre_points()
511 double x_sum=W_sum[0][0]*c_stats[j].mean_x()+ in compute_stats()
513 double y_sum=W_sum[1][0]*c_stats[j].mean_x()+ in compute_stats()
[all …]
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| /dports/devel/efl/efl-1.25.1/src/modules/evas/image_savers/tgv/ |
| H A D | evas_image_save_tgv.c | 188 double mean_x = 0, mean_y = 0, var_x = 0, var_y = 0, cov_xy = 0; in evas_image_save_file_tgv() local
461 const double delta_x = (double)todo[k] - mean_x; in evas_image_save_file_tgv()
463 mean_x = mean_x + (double)(delta_x / (pixels_count + 1)); in evas_image_save_file_tgv()
465 var_x = var_x + ((double)(todo[k] - mean_x) * delta_x); in evas_image_save_file_tgv()
467 … cov_xy = cov_xy + ((double)(todo[k] - mean_x) * (double)(done[k] - mean_y)); in evas_image_save_file_tgv()
521 … double temp = (mean_x * mean_x + mean_y * mean_y + c1) * (var_x * var_x + var_y * var_y + c2); in evas_image_save_file_tgv()
522 double ssim = (2 * mean_x * mean_y + c1) * ( 2 * cov_xy + c2) / temp; in evas_image_save_file_tgv()
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| /dports/math/gsl/gsl-2.7/statistics/ |
| H A D | covariance_source.c | 107 long double mean_x, mean_y; in FUNCTION() local
118 mean_x = data1[0 * stride1]; in FUNCTION()
124 delta_x = data1[i * stride1] - mean_x; in FUNCTION()
129 mean_x += delta_x / (i + 1.0); in FUNCTION()
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| /dports/misc/vxl/vxl-3.3.2/contrib/brl/bbas/bsta/ |
| H A D | bsta_spherical_histogram.hxx | 399 double mean_x = 0.0, mean_y = 0.0, mean_z = 0.0; in mean() local
407 mean_x += pc*x; mean_y += pc*y; mean_z += pc*z; in mean()
410 double length = std::sqrt(mean_x*mean_x + mean_y*mean_y + mean_z*mean_z); in mean()
416 mean_x /= length; mean_y /= length; mean_z /= length; in mean()
417 convert_to_spherical(static_cast<T>(mean_x), static_cast<T>(mean_y), in mean()
424 double mean_x = T(0), mean_y = T(0) , mean_z = T(0); in covariance_matrix() local
436 mean_x += pc*x; mean_y += pc*y; mean_z += pc*z; in covariance_matrix()
439 double length = std::sqrt(mean_x*mean_x + mean_y*mean_y + mean_z*mean_z); in covariance_matrix()
442 mean_x /= length; mean_y /= length; mean_z /= length; in covariance_matrix()
444 convert_to_spherical(static_cast<T>(mean_x), static_cast<T>(mean_y), in covariance_matrix()
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| /dports/misc/vxl/vxl-3.3.2/core/vgl/algo/ |
| H A D | vgl_fit_cylinder_3d.hxx | 185 T mean_x = T(0), mean_y = T(0), mean_z = T(0); in fit() local
188 mean_x += p.x(); mean_y += p.y(); mean_z += p.z(); in fit()
190 mean_x/=n; mean_y/=n; mean_z/=n; in fit()
198 sxx += (x-mean_x)*(x-mean_x); sxy += (x-mean_x)*(y-mean_y); sxz += (x-mean_x)*(z-mean_z); in fit()
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| /dports/benchmarks/phoronix-test-suite/phoronix-test-suite-10.6.1/pts-core/objects/pts_Graph/ |
| H A D | pts_graph_scatter_plot.php | 116 $mean_x = $sum_x / $point_count;
118 $denominator = ($sum_x_sq - $mean_x * $sum_x);
119 $m = ($sum_x_sq - $mean_x * $sum_x) == 0 ? 0 : ($sum_xy - $mean_y * $sum_x) / $denominator;
120 $b = $mean_y - $mean_x * $m;
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| /dports/science/nest/nest-simulator-3.1/pynest/nest/spatial_distributions/ |
| H A D | hl_api_spatial_distributions.py | 87 def gaussian2D(x, y, mean_x=0.0, mean_y=0.0, std_x=1.0, std_y=1.0, rho=0.0): argument
116 'mean_x': mean_x,
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| /dports/math/py-pandas/pandas-1.2.5/pandas/_libs/window/ |
| H A D | aggregations.pyx | 334 t = y - mean_x[0]
337 mean_x[0] = mean_x[0] + delta / nobs[0]
354 t = y - mean_x[0]
357 mean_x[0] = mean_x[0] - delta / nobs[0]
360 mean_x[0] = 0
416 mean_x = 0.0
1671 mean_x = input_x[0]
1673 is_observation = (mean_x == mean_x) and (mean_y == mean_y)
1676 mean_x = NaN
1691 if mean_x == mean_x:
[all …]
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| /dports/net/chrony-lite/chrony-4.2/ |
| H A D | samplefilt.c | 286 double mean_x, mean_y, disp, var, prev_avg_var; in combine_selected_samples() local
302 for (i = 0, mean_x = mean_y = 0.0; i < n; i++) { in combine_selected_samples()
303 mean_x += filter->x_data[i]; in combine_selected_samples()
306 mean_x /= n; in combine_selected_samples()
314 filter->x_data[i] -= mean_x; in combine_selected_samples()
383 UTI_AddDoubleToTimespec(&last_sample->time, mean_x, &result->time); in combine_selected_samples()
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| /dports/net/chrony/chrony-4.2/ |
| H A D | samplefilt.c | 286 double mean_x, mean_y, disp, var, prev_avg_var; in combine_selected_samples() local
302 for (i = 0, mean_x = mean_y = 0.0; i < n; i++) { in combine_selected_samples()
303 mean_x += filter->x_data[i]; in combine_selected_samples()
306 mean_x /= n; in combine_selected_samples()
314 filter->x_data[i] -= mean_x; in combine_selected_samples()
383 UTI_AddDoubleToTimespec(&last_sample->time, mean_x, &result->time); in combine_selected_samples()
|