/external/python/cpython2/Demo/turtle/ |
tdemo_fractalcurves.py | 7 (1) A hilbert curve (in a box) 22 def hilbert(self, size, level, parity): member in class:CurvesTurtle 27 self.hilbert(size, level - 1, -parity) 31 self.hilbert(size, level - 1, parity) 34 self.hilbert(size, level - 1, parity) 38 self.hilbert(size, level - 1, -parity) 96 ft.hilbert(size, 6, 1) 113 res = "Hilbert: %.2fsec. " % (tb-ta)
|
/external/python/cpython3/Lib/turtledemo/ |
fractalcurves.py | 7 (1) A hilbert curve (in a box) 22 def hilbert(self, size, level, parity): member in class:CurvesTurtle 27 self.hilbert(size, level - 1, -parity) 31 self.hilbert(size, level - 1, parity) 34 self.hilbert(size, level - 1, parity) 38 self.hilbert(size, level - 1, -parity) 96 ft.hilbert(size, 6, 1) 113 res = "Hilbert: %.2fsec. " % (tb-ta)
|
/prebuilts/go/darwin-x86/src/go/types/ |
hilbert_test.go | 22 H = flag.Int("H", 5, "Hilbert matrix size") 36 f, err := parser.ParseFile(fset, "hilbert.go", src, 0) 53 g.p(`// Code generated by: go test -run=Hilbert -H=%d -out=%q. DO NOT EDIT. 58 // by generating the constant elements of a Hilbert matrix H, 72 g.hilbert(n) 91 func (g *gen) hilbert(n int) { func 92 g.p(`// Hilbert matrix, n = %d 118 g.p(`// Inverse Hilbert matrix
|
/prebuilts/go/linux-x86/src/go/types/ |
hilbert_test.go | 22 H = flag.Int("H", 5, "Hilbert matrix size") 36 f, err := parser.ParseFile(fset, "hilbert.go", src, 0) 53 g.p(`// Code generated by: go test -run=Hilbert -H=%d -out=%q. DO NOT EDIT. 58 // by generating the constant elements of a Hilbert matrix H, 72 g.hilbert(n) 91 func (g *gen) hilbert(n int) { func 92 g.p(`// Hilbert matrix, n = %d 118 g.p(`// Inverse Hilbert matrix
|
/external/autotest/client/cros/audio/ |
audio_quality_measurement.py | 39 # In this module, amplitude and frequency are derived from Hilbert transform. 45 # Hilbert transform and noise. 108 # After applying Hilbert transform, the resulting amplitude and frequency may be 114 # consider its noise as part of artifacts caused by edge effect of Hilbert 119 # Then, we apply Hilbert transform to 10.2 seconds of data. 120 # Near 0.1 seconds and 10.1 seconds, there will be edge effect of Hilbert 128 # Hilbert transform. 144 def hilbert(x): function 145 """Hilbert transform copied from scipy. 148 http://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.hilbert.htm [all...] |
/tools/test/connectivity/acts/framework/acts/test_utils/audio_analysis_lib/ |
audio_quality_measurement.py | 43 # In this module, amplitude and frequency are derived from Hilbert transform. 49 # Hilbert transform and noise. 112 # After applying Hilbert transform, the resulting amplitude and frequency may be 118 # consider its noise as part of artifacts caused by edge effect of Hilbert 123 # Then, we apply Hilbert transform to 10.2 seconds of data. 124 # Near 0.1 seconds and 10.1 seconds, there will be edge effect of Hilbert 132 # Hilbert transform. 148 def hilbert(x): function 149 """Hilbert transform copied from scipy. 152 http://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.hilbert.htm [all...] |