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/dports/x11-toolkits/SoXt/SoXt-1.3.0/
H A Dtags1 ItemRecord::create src/Inventor/Xt/widgets/SoXtPopupMenu.cpp /^ItemRecord::create($/
2 MenuRecord::create src/Inventor/Xt/widgets/SoXtPopupMenu.cpp /^MenuRecord::create($/
15 SoXt::decodeString src/Inventor/Xt/SoXt.cpp /^SoXt::decodeString( \/\/ static$/
20 SoXt::getDisplay src/Inventor/Xt/SoXt.cpp /^SoXt::getDisplay( \/\/ static$/
26 SoXt::getwidget src/Inventor/Xt/SoXt.cpp /^SoXt::getwidget( \/\/ static$/
27 SoXt::hide src/Inventor/Xt/SoXt.cpp /^SoXt::hide( \/\/ static$/
29 SoXt::init src/Inventor/Xt/SoXt.cpp /^SoXt::init( \/\/ static$/
30 SoXt::mainLoop src/Inventor/Xt/SoXt.cpp /^SoXt::mainLoop( \/\/ static$/
31 SoXt::nextEvent src/Inventor/Xt/SoXt.cpp /^SoXt::nextEvent( \/\/ static$/
37 SoXt::show src/Inventor/Xt/SoXt.cpp /^SoXt::show( \/\/ static$/
[all …]
H A DChangeLog57 src/Inventor/Xt/SoXtClipboard.cpp, src/Inventor/Xt/SoXtClipboard.h,
58 src/Inventor/Xt/SoXtComponent.cpp, src/Inventor/Xt/SoXtComponentP.h,
61 src/Inventor/Xt/SoXtGLWidget.cpp, src/Inventor/Xt/SoXtGLWidgetP.h,
62 src/Inventor/Xt/SoXtIcons.cpp, src/Inventor/Xt/SoXtIcons.h,
63 src/Inventor/Xt/SoXtInternal.cpp, src/Inventor/Xt/SoXtInternal.h,
70 src/Inventor/Xt/SoXtPrintDialog.h, src/Inventor/Xt/SoXtResource.cpp,
71 src/Inventor/Xt/SoXtResource.h, src/Inventor/Xt/SoXtSliderSet.cpp,
76 src/Inventor/Xt/SoXtTransformSliderSet.h, src/Inventor/Xt/all-soxt-
84 src/Inventor/Xt/devices/SoXtMouse.cpp, src/Inventor/Xt/devices/all-
86 src/Inventor/Xt/engines/all-engines-cpp.cpp, src/Inventor/Xt/nodes
[all …]
/dports/x11-toolkits/SoXt/SoXt-1.3.0/docs/
H A DChangeLog.v1.3.057 src/Inventor/Xt/SoXtClipboard.cpp, src/Inventor/Xt/SoXtClipboard.h,
58 src/Inventor/Xt/SoXtComponent.cpp, src/Inventor/Xt/SoXtComponentP.h,
61 src/Inventor/Xt/SoXtGLWidget.cpp, src/Inventor/Xt/SoXtGLWidgetP.h,
62 src/Inventor/Xt/SoXtIcons.cpp, src/Inventor/Xt/SoXtIcons.h,
63 src/Inventor/Xt/SoXtInternal.cpp, src/Inventor/Xt/SoXtInternal.h,
70 src/Inventor/Xt/SoXtPrintDialog.h, src/Inventor/Xt/SoXtResource.cpp,
71 src/Inventor/Xt/SoXtResource.h, src/Inventor/Xt/SoXtSliderSet.cpp,
76 src/Inventor/Xt/SoXtTransformSliderSet.h, src/Inventor/Xt/all-soxt-
84 src/Inventor/Xt/devices/SoXtMouse.cpp, src/Inventor/Xt/devices/all-
86 src/Inventor/Xt/engines/all-engines-cpp.cpp, src/Inventor/Xt/nodes
[all …]
H A DChangeLog.v1.1.023 src/Inventor/Xt/SoXtComponentP.h,
26 src/Inventor/Xt/SoXtGLWidget.cpp, src/Inventor/Xt/SoXtGLWidgetP.h,
27 src/Inventor/Xt/SoXtIcons.cpp, src/Inventor/Xt/SoXtIcons.h,
28 src/Inventor/Xt/SoXtInternal.cpp, src/Inventor/Xt/SoXtInternal.h,
36 src/Inventor/Xt/SoXtResource.cpp, src/Inventor/Xt/SoXtResource.h,
37 src/Inventor/Xt/SoXtSliderSet.cpp, src/Inventor/Xt/SoXtSliderSet.h,
1440 src/Inventor/Xt/Makefile.am, src/Inventor/Xt/devices/Makefile.am,
1486 src/Inventor/Xt/SoXt.cpp, src/Inventor/Xt/SoXt.h:
1505 src/Inventor/Xt/SoXtComponent.cpp, src/Inventor/Xt/SoXtComponent.h:
1518 src/Inventor/Xt/SoXtGLWidget.cpp, src/Inventor/Xt/SoXtGLWidget.h:
[all …]
H A DChangeLog.v1.2.071 * src/Inventor/Xt/SoXtGLWidget.cpp:
89 * src/Inventor/Xt/all-soxt-cpp.cpp:
95 * src/Inventor/Xt/Makefile.am:
107 * src/Inventor/Xt/SoXtGLWidget.cpp:
119 * src/Inventor/Xt/SoXtResource.cpp:
168 src/Inventor/Xt/soxt-all-cpp.cpp,
193 * src/Inventor/Xt/SoXtInternal.cpp:
205 * src/Inventor/Xt/SoXtInternal.cpp:
226 * src/Inventor/Xt/SoXt.cpp:
383 * src/Inventor/Xt/SoXt.cpp:
[all …]
/dports/graphics/py-pivy/pivy-0.6.6/interfaces/
H A Dsoxt.i73 %include Inventor/Xt/devices/SoXtDevice.h
75 %include Inventor/Xt/devices/SoXtMouse.h
87 %include Inventor/Xt/SoXtResource.h
88 %include Inventor/Xt/SoXt.h
89 %include Inventor/Xt/SoXtBasic.h
90 %include Inventor/Xt/SoXtObject.h
91 %include Inventor/Xt/SoXtCursor.h
92 %include Inventor/Xt/SoXtComponent.h
93 %include Inventor/Xt/SoXtGLWidget.h
94 %include Inventor/Xt/SoXtRenderArea.h
[all …]
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/neighbors/tests/
H A Dtest_graph.py24 Xt = nnt.fit_transform(X)
25 assert Xt.shape == (n_samples_fit, n_samples_fit)
27 assert Xt.format == "csr"
28 assert _is_sorted_by_data(Xt)
40 Xt = nnt.fit_transform(X)
43 assert Xt.format == "csr"
44 assert _is_sorted_by_data(Xt)
69 Xt = nnt.fit_transform(X)
70 assert _has_explicit_diagonal(Xt)
73 Xt = nnt.transform(X)
[all …]
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/
H A Dpipeline.py467 Xt = X
469 Xt = transform.transform(Xt)
533 Xt = X
535 Xt = transform.transform(Xt)
558 Xt = X
560 Xt = transform.transform(Xt)
585 Xt = transformer.transform(Xt)
614 Xt = transform.transform(Xt)
647 Xt = transform.transform(Xt)
675 Xt = transform.inverse_transform(Xt)
[all …]
/dports/science/py-scikit-optimize/scikit-optimize-0.9.0/skopt/space/
H A Dtransformers.py27 def inverse_transform(self, Xt): argument
28 return Xt
68 def inverse_transform(self, Xt): argument
82 return [self.dtype(x) for x in Xt]
94 def inverse_transform(self, Xt): argument
135 def inverse_transform(self, Xt): argument
149 Xt = np.asarray(Xt)
198 def inverse_transform(self, Xt): argument
212 if isinstance(Xt, (float, np.float64)):
213 Xt = [Xt]
[all …]
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/
H A D_mask.py11 Xt = np.isnan(X)
14 Xt = np.zeros(X.shape, dtype=bool)
17 Xt = _object_dtype_isnan(X)
19 Xt = X == value_to_mask
21 return Xt
46 Xt = _get_dense_mask(X.data, value_to_mask)
50 (Xt, X.indices.copy(), X.indptr.copy()), shape=X.shape, dtype=bool
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/preprocessing/tests/
H A Dtest_discretization.py124 Xt = est.transform(X)
211 Xt = est.fit_transform(X)
216 Xt = est.fit_transform(X)
221 Xt = est.fit_transform(X)
260 Xt = kbd.fit_transform(X)
261 Xinv = kbd.inverse_transform(Xt)
282 Xt = est.fit_transform(X)
285 Xt_before = Xt.copy()
286 Xinv = est.inverse_transform(Xt)
287 assert_array_equal(Xt, Xt_before)
[all …]
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/feature_selection/tests/
H A Dtest_base.py32 Xt = np.arange(0, 20, 2).reshape(2, 5) variable
46 assert_array_equal(Xt, Xt_actual)
47 assert_array_equal(Xt, Xt_actual2)
67 assert_array_equal(Xt, Xt_actual.toarray())
68 assert_array_equal(Xt, Xt_actual2.toarray())
81 Xinv_actual = sel.fit(X, y).inverse_transform(Xt)
85 assert np.int32 == sel.inverse_transform(Xt.astype(np.int32)).dtype
86 assert np.float32 == sel.inverse_transform(Xt.astype(np.float32)).dtype
100 Xinv_actual = sel.fit(sparse(X)).inverse_transform(sparse(Xt))
104 assert np.int32 == sel.inverse_transform(sparse(Xt).astype(np.int32)).dtype
[all …]
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/preprocessing/
H A D_discretization.py310 Xt = self._validate_data(X, copy=True, dtype=dtype, reset=False)
313 for jj in range(Xt.shape[1]):
320 eps = atol + rtol * np.abs(Xt[:, jj])
321 Xt[:, jj] = np.digitize(Xt[:, jj] + eps, bin_edges[jj][1:])
322 np.clip(Xt, 0, self.n_bins_ - 1, out=Xt)
325 return Xt
330 self._encoder.dtype = Xt.dtype
332 Xt_enc = self._encoder.transform(Xt)
338 def inverse_transform(self, Xt): argument
358 Xt = self._encoder.inverse_transform(Xt)
[all …]
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/impute/
H A D_iterative.py536 Xt = X[:, valid_mask]
630 if Xt.shape[1] == 1:
647 abs_corr_mat = self._get_abs_corr_mat(Xt)
649 n_samples, n_features = Xt.shape
654 Xt_previous = Xt.copy()
664 Xt, estimator = self._impute_one_feature(
665 Xt,
696 Xt_previous = Xt.copy()
703 Xt[~mask_missing_values] = X[~mask_missing_values]
737 Xt, _ = self._impute_one_feature(
[all …]
/dports/math/gretl/gretl-2021d/share/scripts/ramanathan/
H A Dps13-1.inp14 genr Xt=EXPORTS/POP
18 lags Yt Ct It Gt Xt DYt Mt rt
21 tsls Ct 0 Ct_1 DYt DYt_1 ; 0 Ct_1 DYt_1 It_1 Yt_1 rt_1 Mt Mt_1 Gt Xt
22 tsls It 0 It_1 Yt Yt_1 rt rt_1 ; 0 Ct_1 DYt_1 It_1 Yt_1 rt_1 Mt Mt_1 Gt Xt
23 tsls rt 0 rt_1 Yt Yt_1 Mt Mt_1 ; 0 Ct_1 DYt_1 It_1 Yt_1 rt_1 Mt Mt_1 Gt Xt
24 tsls rt 0 rt_1 Yt Mt Mt_1 ; 0 Ct_1 DYt_1 It_1 Yt_1 rt_1 Mt Mt_1 Gt Xt
25 tsls Tt 0 Yt ; 0 Ct_1 DYt_1 It_1 Yt_1 rt_1 Mt Mt_1 Gt Xt
26 tsls IMPt 0 Yt ; 0 Ct_1 DYt_1 It_1 Yt_1 rt_1 Mt Mt_1 Gt Xt
/dports/misc/rump/buildrump.sh-b914579/src/external/cddl/osnet/dist/uts/common/sys/
H A Dcrc32.h109 uint32_t Xi, Xj, *Xt; \
111 for (Xt = (table) + Xi, *Xt = Xi, Xj = 8; Xj > 0; Xj--) \
112 *Xt = (*Xt >> 1) ^ (-(*Xt & 1) & (poly)); \
/dports/net-p2p/bazarr/bazarr-1.0.2/libs/ffsubsync/
H A Dsklearn_shim.py212 Xt, fit_params = self._fit(X, y, **fit_params)
214 self._final_estimator.fit(Xt, y, **fit_params)
245 Xt, fit_params = self._fit(X, y, **fit_params)
247 return Xt
249 return last_step.fit_transform(Xt, y, **fit_params)
251 return last_step.fit(Xt, y, **fit_params).transform(Xt)
277 Xt = X
279 Xt = transform.transform(Xt)
280 return Xt
/dports/graphics/cimg/CImg-v.2.9.7/examples/
H A Dradon_transform2d.cpp270 while ((Xt > 0) && (Xt < image_width - 1) && (Yt > 0) && (Yt < image_height - 1)) { in CannyEdges()
278 Xt += delta_x; in CannyEdges()
280 …GRt = std::sqrt(std::pow((double)gradients[0](Xt,Yt),2.0) + std::pow((double)gradients[1](Xt,Yt),2… in CannyEdges()
281 dir = GetAngle(Yt,Xt); in CannyEdges()
283 edges(Xt,Yt) = 255; in CannyEdges()
286 Xt = X; Yt = Y; in CannyEdges()
287 while ((Xt > 0) && (Xt < image_width - 1) && (Yt > 0) && (Yt < image_height - 1)) { in CannyEdges()
295 Xt -= delta_x; in CannyEdges()
297 …GRt = std::sqrt(std::pow((double)gradients[0](Xt,Yt),2.0) + std::pow((double)gradients[1](Xt,Yt),2… in CannyEdges()
298 dir = GetAngle(Yt,Xt); in CannyEdges()
[all …]
/dports/graphics/gmic-qt/CImg-v.2.9.8/examples/
H A Dradon_transform2d.cpp270 while ((Xt > 0) && (Xt < image_width - 1) && (Yt > 0) && (Yt < image_height - 1)) { in CannyEdges()
278 Xt += delta_x; in CannyEdges()
280 …GRt = std::sqrt(std::pow((double)gradients[0](Xt,Yt),2.0) + std::pow((double)gradients[1](Xt,Yt),2… in CannyEdges()
281 dir = GetAngle(Yt,Xt); in CannyEdges()
283 edges(Xt,Yt) = 255; in CannyEdges()
286 Xt = X; Yt = Y; in CannyEdges()
287 while ((Xt > 0) && (Xt < image_width - 1) && (Yt > 0) && (Yt < image_height - 1)) { in CannyEdges()
295 Xt -= delta_x; in CannyEdges()
297 …GRt = std::sqrt(std::pow((double)gradients[0](Xt,Yt),2.0) + std::pow((double)gradients[1](Xt,Yt),2… in CannyEdges()
298 dir = GetAngle(Yt,Xt); in CannyEdges()
[all …]
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/feature_extraction/tests/
H A Dtest_feature_hasher.py153 Xt = FeatureHasher(alternate_sign=True, input_type="string").fit_transform(X)
154 assert Xt.data.min() < 0 and Xt.data.max() > 0
156 Xt = FeatureHasher(alternate_sign=False, input_type="string").fit_transform(X)
157 assert Xt.data.min() > 0
163 Xt = FeatureHasher(
168 assert abs(Xt.data[0]) < len(X[0])
170 Xt = FeatureHasher(
173 assert Xt.data[0] == len(X[0])
/dports/astro/oskar/OSKAR-2.8.0/oskar/telescope/station/element/
H A Ddefine_evaluate_spherical_wave.h31 FP2 Xp, Xt, Yp, Yt;\
33 MAKE_ZERO2(FP, Xp); MAKE_ZERO2(FP, Xt);\
42 Xp.x = Xp.y = Xt.x = Xt.y = phi_x_;\
57 OSKAR_SPH_WAVE(FP2, 0, alpha_.a, alpha_.b, Xt, Xp)\
72 OSKAR_SPH_WAVE(FP2, -abs_m, alpha_m.a, alpha_m.b, Xt, Xp)\
74 OSKAR_SPH_WAVE(FP2, abs_m, alpha_p.a, alpha_p.b, Xt, Xp)\
87 pattern[i + offset].b = Xt;\
/dports/devel/aarch64-none-elf-gcc/gcc-8.4.0/gcc/ada/libgnat/
H A Da-ngcefu.adb217 Xt : Complex; variable
228 Xt := Complex_One / X;
231 Set_Re (Xt, PI - Re (Xt));
232 return Xt;
234 return Xt;
238 Xt := Complex_I * Log ((X - Complex_I) / (X + Complex_I)) / 2.0;
240 if Re (Xt) < 0.0 then
241 Xt := PI + Xt;
244 return Xt;
/dports/lang/gcc6-aux/gcc-6-20180516/gcc/ada/
H A Da-ngcefu.adb217 Xt : Complex; variable
228 Xt := Complex_One / X;
231 Set_Re (Xt, PI - Re (Xt));
232 return Xt;
234 return Xt;
238 Xt := Complex_I * Log ((X - Complex_I) / (X + Complex_I)) / 2.0;
240 if Re (Xt) < 0.0 then
241 Xt := PI + Xt;
244 return Xt;
/dports/lang/gcc6-aux/bootstrap/lib/gcc/x86_64-aux-dragonfly4.1/5.1.0/adainclude/
H A Da-ngcefu.adb217 Xt : Complex; variable
228 Xt := Complex_One / X;
231 Set_Re (Xt, PI - Re (Xt));
232 return Xt;
234 return Xt;
238 Xt := Complex_I * Log ((X - Complex_I) / (X + Complex_I)) / 2.0;
240 if Re (Xt) < 0.0 then
241 Xt := PI + Xt;
244 return Xt;
/dports/devel/arm-none-eabi-gcc492/gcc-4.9.2/gcc/ada/
H A Da-ngcefu.adb217 Xt : Complex; variable
228 Xt := Complex_One / X;
231 Set_Re (Xt, PI - Re (Xt));
232 return Xt;
234 return Xt;
238 Xt := Complex_I * Log ((X - Complex_I) / (X + Complex_I)) / 2.0;
240 if Re (Xt) < 0.0 then
241 Xt := PI + Xt;
244 return Xt;

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