/dports/science/simlib/simlib/examples/TODO/pendulum/ |
H A D | Makefile | 3 MODELS = kyvadlo3 macro 9 all: $(MODELS) 13 rm -f $(MODELS) *.dat *.ps *.eps *.png 16 run: $(MODELS) 17 for i in $(MODELS); do ./$$i; done
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/dports/math/py-nevergrad/nevergrad-0.4.3.post2/nevergrad/functions/images/ |
H A D | imagelosses.py | 18 MODELS: tp.Dict[str, tp.Any] = {} variable 52 if self.net not in MODELS: 53 MODELS[self.net] = lpips.LPIPS(net=self.net) 54 loss_fn = MODELS[self.net] 112 if key not in MODELS: 117 MODELS[key] = K512Model() 120 return MODELS[key]
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/dports/science/jstrack/jstrack/tracker/storms/old/2008/ |
H A D | two.dis | 15 IT SHOULD BE NOTED THAT MOST GLOBAL MODELS...ESPECIALLY THE 22 TOMORROW. GLOBAL MODELS ARE IN GOOD AGREEMENT WITH THE TRACK UNTIL 24 ALONG ABOUT 50W-55W AT THE END OF THE FORECAST PERIOD. THE MODELS 27 WHILE THE UKMET/ECMWF MODELS KEEP A WEAKER TROPICAL CYCLONE ON A 29 OF THE FIVE MODELS ABOVE BUT JUST A SHADE TO THE LEFT OF THAT 37 THEREAFTER SSTS WARM SLIGHTLY AND MOST GLOBAL MODELS FORECAST AN 42 SHIPS/GFDL MODELS ARE A LITTLE MORE BULLISH WITH THIS
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H A D | seventeen.dis | 19 CUBA. IN CONTRAST...THE SHIPS/LGEM MODELS KEEP THE SYSTEM BELOW 21 UPPER ANTICYCLONE THAT ALL OF THE GLOBAL MODELS ARE FORMING NEAR 23 DYNAMICAL GUIDANCE BUT NOT QUITE AS BULLISH AS THOSE MODELS FOR THE 35 THE MODELS WITH THE GFDL/HWRF CONSIDERABLY FASTER THAN THE 36 GFS/ECMWF/UKMET MODELS. LATE-SEASON TROPICAL CYCLONES ARE OFTEN 37 NOTORIOUSLY SLOW-MOVING...E.G. MITCH OR WILMA...AND THE MODELS CAN 78 CUBA. IN CONTRAST...THE SHIPS/LGEM MODELS KEEP THE SYSTEM BELOW 80 UPPER ANTICYCLONE THAT ALL OF THE GLOBAL MODELS ARE FORMING NEAR 94 THE MODELS WITH THE GFDL/HWRF CONSIDERABLY FASTER THAN THE 95 GFS/ECMWF/UKMET MODELS. LATE-SEASON TROPICAL CYCLONES ARE OFTEN [all …]
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H A D | ten.dis | 19 GLOBAL MODELS TO WEAKEN AND LIFT OUT TO THE NORTHEAST BY 72-96 23 FOR WHAT APPEARS TO BE A POLEWARD BIAS BY THE GFDL AND HWRF MODELS. 27 36-48 HOURS...ALL OF THE MODELS SUGGEST THAT SOUTHERLY VERTICAL 29 THE STRENGTHENING PROCESS. SOME OF THE MODELS LIKE THE GFS
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/dports/textproc/jaxup/jaxup/src/java/samples/org/jaxup/tests/ |
H A D | TestDriver.java | 30 private final static DocumentModelTestData[] MODELS = field in TestDriver 80 for (int i = 0; i < MODELS.length; i++) in doTest() 84 doTest(MODELS[i], testName, inputDocName, updateDocName); in doTest() 85 … System.err.println("Test " + testName + " succesful for updater " + MODELS[i].getName()); in doTest() 93 + MODELS[i].getName() in doTest()
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/dports/devel/capnproto080/capnproto-0.8.0/c++/src/benchmark/ |
H A D | capnproto-carsales.c++ | 69 static const char* const MODELS[] = { "Camry", "Prius", "Volt", "Accord", "Leaf", "Model S" }; in randomCar() local 72 car.setModel(MODELS[fastRand(sizeof(MODELS) / sizeof(MODELS[0]))]); in randomCar()
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H A D | protobuf-carsales.c++ | 68 static const char* const MODELS[] = { "Camry", "Prius", "Volt", "Accord", "Leaf", "Model S" }; in randomCar() local 71 car->set_model(MODELS[fastRand(sizeof(MODELS) / sizeof(MODELS[0]))]); in randomCar()
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H A D | null-carsales.c++ | 133 static const char* const MODELS[] = { "Camry", "Prius", "Volt", "Accord", "Leaf", "Model S" }; in randomCar() local 136 car->model = copyString(MODELS[fastRand(sizeof(MODELS) / sizeof(MODELS[0]))]); in randomCar()
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/dports/devel/capnproto/capnproto-0.9.0/c++/src/benchmark/ |
H A D | capnproto-carsales.c++ | 69 static const char* const MODELS[] = { "Camry", "Prius", "Volt", "Accord", "Leaf", "Model S" }; in randomCar() local 72 car.setModel(MODELS[fastRand(sizeof(MODELS) / sizeof(MODELS[0]))]); in randomCar()
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H A D | protobuf-carsales.c++ | 68 static const char* const MODELS[] = { "Camry", "Prius", "Volt", "Accord", "Leaf", "Model S" }; in randomCar() local 71 car->set_model(MODELS[fastRand(sizeof(MODELS) / sizeof(MODELS[0]))]); in randomCar()
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H A D | null-carsales.c++ | 133 static const char* const MODELS[] = { "Camry", "Prius", "Volt", "Accord", "Leaf", "Model S" }; in randomCar() local 136 car->model = copyString(MODELS[fastRand(sizeof(MODELS) / sizeof(MODELS[0]))]); in randomCar()
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/dports/science/jstrack/jstrack/tracker/storms/old/2010/ |
H A D | four.dis | 18 IN FOUR OR FIVE DAYS...THE GLOBAL MODELS SHOW A WEAKNESS DEVELOPING 21 IN THE MODELS BY THE END OF THE PERIOD...WITH THE GFS ON THE LEFT 75 20 KT THROUGH 72 HOURS. AFTER THAT...HOWEVER...THE MODELS DIVERGE 76 SIGNIFICANTLY WITH THE UKMET...ECMWF...AND GFDL MODELS TAKING A 78 SUBTROPICAL RIDGE...WHEREAS THE HWRF...GFS...AND NOGAPS MODELS 80 LIE IN HOW THE MODELS HANDLE A MID-LEVEL TROUGH ALONG THE U.S. EAST 84 THE OTHER MODELS HAVE LESS AMPLITUDE AND MORE ZONAL FLOW ACROSS THE 90 THE CONSENSUS MODELS...TVCN AND TVCC...ESPECIALLY AT DAYS 4 AND 5. 94 HOURS WHEN ALL OF THE MODELS ARE FORECASTING A SMALL ANTICYCLONE TO 100 THE OTHER GLOBAL MODELS...AND ALSO DUE TO 500 KM RADIUS THAT THE [all …]
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H A D | alex.dis | 24 LARGE-SCALE MODELS FORECAST THE RIDGE TO WEAKEN AS A DEEP-LAYER 31 MEXICO. THE HWRF AND THE CANADIAN MODELS ARE BETWEEN THESE 38 THE LARGE-SCALE MODELS FORECAST ALEX TO BE NEAR OR UNDER A LARGE 85 FORECAST IS A BLEND OF BOTH THE LGEM AND DECAY SHIPS MODELS. 138 FORECAST IS A BLEND OF BOTH THE LGEM AND DECAY SHIPS MODELS. 251 DYNAMICAL MODELS EXCLUDING THE GFDL AND GFS. 294 MODELS DIVERGE SIGNIFICANTLY WITH THE GFS AND CANADIAN MODELS 300 MODELS ARE MORE PROGRESSIVE AND LESS AMPLIFIED WITH THE FLOW 319 MODELS...AND HIGHER THAN BOTH THE GFDL AND HWRF MODELS. 683 THE DYNAMICAL MODELS. [all …]
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H A D | three.dis | 18 NONE OF THE MODELS SHOW SIGNIFICANT INTENSIFICATION. 22 KNOTS. GLOBAL MODELS FORECAST A WELL-ESTABLISHED SUBTROPICAL RIDGE 29 THROUGH 4 OR 5 DAYS...ALTHOUGH SOME MODELS WEAKEN THE CYCLONE 66 GUIDANCE MODELS SHOW LARGE INCREASES IN STRENGTH...PERHAPS DUE TO 69 BUT IS CLOSE TO THE SHIPS AND LGEM MODELS. 75 OF THE GLOBAL MODELS...THE DEPRESSION WILL BECOME EMBEDDED WITHIN A
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H A D | ten.dis | 18 NONE OF THE MODELS SHOW SIGNIFICANT INTENSIFICATION. 22 KNOTS. GLOBAL MODELS FORECAST A WELL-ESTABLISHED SUBTROPICAL RIDGE 29 THROUGH 4 OR 5 DAYS...ALTHOUGH SOME MODELS WEAKEN THE CYCLONE 66 GUIDANCE MODELS SHOW LARGE INCREASES IN STRENGTH...PERHAPS DUE TO 69 BUT IS CLOSE TO THE SHIPS AND LGEM MODELS. 75 OF THE GLOBAL MODELS...THE DEPRESSION WILL BECOME EMBEDDED WITHIN A 112 WIND SHEAR. ALL OF THE MODELS EXCEPT THE HWRF SHOW STRENGTHENING 119 NORTHERN GULF OF MEXICO. THE GLOBAL MODELS ARE IN GOOD AGREEMENT ON
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/dports/games/dhewm3/dhewm3-1.5.1/neo/tools/radiant/ |
H A D | PreviewDlg.cpp | 48 currentMode = MODELS; in IMPLEMENT_DYNAMIC() 114 } else if ( currentMode == MODELS ) { in BuildTree() 116 AddStrList( "base", files->GetList(), MODELS ); in BuildTree() 119 AddStrList( "base", files->GetList(), MODELS ); in BuildTree() 122 AddStrList( "base", files->GetList(), MODELS ); in BuildTree() 286 add->EnableWindow(treeMedia.GetItemData(item) == GUIS || treeMedia.GetItemData(item) == MODELS); in OnTvnSelchangedTreeMedia() 292 …if ( id == GUIS || id == MODELS || id == MATERIALS || id == WAVES || id == PARTICLES || id == SKIN… in OnTvnSelchangedTreeMedia() 334 if ( currentMode == MODELS || currentMode == SKINS ) { in OnTvnSelchangedTreeMedia() 336 if ( currentMode == MODELS ) { in OnTvnSelchangedTreeMedia() 458 …item) == FALSE && (treeMedia.GetItemData(item) == GUIS || treeMedia.GetItemData(item) == MODELS)) { in OnBnClickedButtonAdd() [all …]
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/dports/science/jstrack/jstrack/tracker/storms/old/2007/ |
H A D | six.dis | 15 GLOBAL MODELS SUGGEST THAT WIND SHEAR NEAR THE DEPRESSION WILL 19 LARGE-SCALE MODELS DO NOT STRENGTHEN THE DEPRESSION...AND CLOSE 21 INTENSITY FORECAST IS A BLEND OF THE SHIPS/GFDL/HWRF MODELS...AND 24 THE INITIAL MOTION IS A SOMEWHAT UNCERTAIN 280/14. GLOBAL MODELS 72 AND MEDIUM MEAN LAYER BAM MODELS FORECAST A MORE NORTHWARD MOTION 80 THE LARGE-SCALE MODELS FORECAST THE CYCLONE TO BE IN DEEP-LAYER 91 STATISTICAL MODELS ARE CORRECT.
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H A D | karen.dis | 15 36-48 HR. AFTER THAT...THE LARGE-SCALE MODELS AGREE ON THE 22 OFTEN A TENDENCY FOR THE DYNAMICAL MODELS TO HAVE A NORTHWARD BIAS 37 CAUSE WEAKENING. THE SHIPS...GFDL...AND HWRF MODELS ALL FORECAST 72 GLOBAL MODELS DEPICT A COUPLE OF UPPER-LEVEL TROUGHS OVER THE 199 THE FORECAST PERIOD...THE GFDL AND HWRF MODELS CONTINUE TO 202 INTENSITY FORECAST BLENDS THE STATISTICAL MODELS AND SHOWS A 262 THE SHIPS AND LGEM MODELS WHICH SHOW KAREN REACHING MINIMAL 594 PACKAGE AND IS BASED ON A CONSENSUS OF THE MODELS. 763 AROUND THE 96 HOUR PERIOD...ALL OF THE DYNAMICAL MODELS ARE 815 LARGE-SCALE MODELS AND THE GFDL...THE OFFICIAL FORECAST [all …]
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H A D | eight.dis | 68 HWRF...GFDL...UMKET...AND GFS MODELS. 73 STRENGTHEN. THE GFDL...HWRF AND SHIPS MODELS BRING THE DEPRESSION 117 MODELS SHOW THE CYCLONE SLOWING BETWEEN 24 AND 48 HOURS IN RESPONSE 124 GFS...UKMET...GFDL...AND HWRF MODELS AND IS SLIGHTLY SOUTH OF THE 125 PREVIOUS OFFICIAL FORECAST. THE ECMWF AND NOGAPS MODELS ARE 134 THE INTENSITY FORECAST IS CLOSE TO THE SHIPS AND LGE MODELS THROUGH 135 THREE DAYS AND A BLEND OF THESE TWO WITH THE GFDL AND HWRF MODELS 165 THEREAFTER...ALL GLOBAL MODELS FORECAST STRONG UPPER-LEVEL 181 WEAKENING. THE UK AND ECMWF MODELS KEEP THE CYCLONE A LITTLE BIT 217 PERIOD...LARGE SCALE MODELS CONTINUE TO FORECAST STRONG [all …]
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/dports/cad/gnucap/gnucap-2013-04-23/include/ |
H A D | Make1 | 48 RAW = $(RAW_HDRS) $(RAW_SRCS) $(MODELS) $(RAW_OTHER) 57 GENERATED_SRCS = ${MODELS:.model=.cc} 58 GENERATED_HDRS = ${MODELS:.model=.h} 71 TARGET_DEPENDS = $(OBJS) $(RAW) $(MODELS)
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/dports/cad/gnucap/gnucap-2013-04-23/apps/ |
H A D | Make1 | 32 MODELS = \ 89 RAW = $(RAW_HDRS) $(RAW_SRCS) $(RAW_OTHER) $(MODELS) 98 GENERATED_SRCS = ${MODELS:.model=.cc} 99 GENERATED_HDRS = ${MODELS:.model=.h} 112 TARGET_DEPENDS = $(OBJS) $(RAW) $(MODELS)
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/dports/science/jstrack/jstrack/tracker/storms/old/2012/ |
H A D | six.dis | 22 LGEM MODELS SHOWING SLOW BUT STEADY INTENSIFICATION DURING THE NEXT 23 5 DAYS. THE DYNAMICAL MODELS...HOWEVER...PREDICT LITTLE OR NO 24 STRENGTHENING. IN FACT...MOST OF THE GLOBAL MODELS SHOW THE SYSTEM 28 TO LEAN TOWARD THE DYNAMICAL MODELS IN PREDICTING A GRADUAL
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/forecasting/tests/ |
H A D | test_stl.py | 43 MODELS = [ variable 49 MODELS = MODELS[-1:] variable 50 IDS = [str(c[0]).split(".")[-1][:-2] for c in MODELS] 53 @pytest.mark.parametrize("config", MODELS, ids=IDS)
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/dports/cad/lepton-eda/lepton-eda-1.9.17/utils/netlist/examples/spice-noqsi/ASIC/Simulation/ |
H A D | Makefile | 6 MODELS=../Models/submicron.inc ../Models/openIP.inc macro 14 $(SPICE) $(CIRCUITS) control.cir $(MODELS)
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