| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/neural-style/end_to_end/ |
| H A D | data_processing.py | 44 sample = np.swapaxes(sample, 0, 2)
45 sample = np.swapaxes(sample, 1, 2)
57 sample = np.swapaxes(sample, 0, 2)
58 sample = np.swapaxes(sample, 1, 2)
70 img = np.swapaxes(img, 1, 2)
71 img = np.swapaxes(img, 0, 2)
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/neural-style/end_to_end/ |
| H A D | data_processing.py | 44 sample = np.swapaxes(sample, 0, 2)
45 sample = np.swapaxes(sample, 1, 2)
57 sample = np.swapaxes(sample, 0, 2)
58 sample = np.swapaxes(sample, 1, 2)
70 img = np.swapaxes(img, 1, 2)
71 img = np.swapaxes(img, 0, 2)
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/frame/methods/ |
| H A D | test_swapaxes.py | 11 tm.assert_frame_equal(df.T, df.swapaxes(0, 1))
12 tm.assert_frame_equal(df.T, df.swapaxes(1, 0))
16 tm.assert_frame_equal(df, df.swapaxes(0, 0))
22 df.swapaxes(2, 5)
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| /dports/science/py-phono3py/phono3py-1.22.3/test/phonon3/ |
| H A D | test_imag_self_energy.py | 105 gammas, np.swapaxes(_gammas, -1, -2).ravel(), atol=1e-2)
122 gammas_sigma, np.swapaxes(_gammas, -1, -2).ravel(), atol=1e-2)
136 gammas, np.swapaxes(_gammas, -1, -2).ravel(), atol=1e-2)
166 gammas_class1, np.swapaxes(_gammas, -1, -2).ravel(), atol=1e-2)
180 gammas_class2, np.swapaxes(_gammas, -1, -2).ravel(), atol=1e-2)
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| H A D | test_spectral_function.py | 64 shifts, np.swapaxes(sf.shifts, -2, -1).ravel(), atol=1e-2)
66 spec_funcs, np.swapaxes(sf.spectral_functions * np.pi, -2, -1).ravel(),
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/gluon/style_transfer/ |
| H A D | utils.py | 59 batch = F.swapaxes(batch,0, 1)
65 batch = F.swapaxes(batch,0, 1)
71 batch = F.swapaxes(batch,0, 1)
77 batch = F.swapaxes(batch,0, 1)
82 batch = F.swapaxes(batch,0, 1)
88 batch = F.swapaxes(batch,0, 1)
103 batch = F.swapaxes(batch, 0, 1)
106 batch = F.swapaxes(batch, 0, 1)
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/gluon/style_transfer/ |
| H A D | utils.py | 59 batch = F.swapaxes(batch,0, 1)
65 batch = F.swapaxes(batch,0, 1)
71 batch = F.swapaxes(batch,0, 1)
77 batch = F.swapaxes(batch,0, 1)
82 batch = F.swapaxes(batch,0, 1)
88 batch = F.swapaxes(batch,0, 1)
103 batch = F.swapaxes(batch, 0, 1)
106 batch = F.swapaxes(batch, 0, 1)
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| /dports/science/py-MDAnalysis/MDAnalysis-0.19.2/MDAnalysis/coordinates/ |
| H A D | memory.py | 520 array = np.swapaxes(array, 1, 2)
522 array = np.swapaxes(array, 0, 2)
524 array = np.swapaxes(array, 0, 1)
526 array = np.swapaxes(array, 1, 0)
527 array = np.swapaxes(array, 1, 2)
529 array = np.swapaxes(array, 2, 0)
530 array = np.swapaxes(array, 1, 2)
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| /dports/science/py-scipy/scipy-1.7.1/scipy/fftpack/tests/ |
| H A D | test_basic.py | 10 swapaxes, double, cdouble)
565 assert_array_almost_equal(swapaxes(swapaxes(y, -1, -3), -1, -2),
568 assert_array_almost_equal(swapaxes(swapaxes(y, -1, -3), -3, -2),
602 swapaxes(y[:, 0, :], -1, -2))
604 swapaxes(y[:, 1, :], -1, -2))
606 swapaxes(y[:, 2, :], -1, -2))
610 swapaxes(y[:, :, 0], -1, -2))
612 swapaxes(y[:, :, 1], -1, -2))
614 swapaxes(y[:, :, 2], -1, -2))
658 assert_array_almost_equal(y, swapaxes(
[all …]
|
| /dports/devel/py-cclib/cclib-1.7.1/cclib/method/ |
| H A D | opa.py | 120 temparray2 = numpy.swapaxes(results[0],1,2)
121 self.results = [ numpy.swapaxes(temparray2,0,1) ]
123 temparray2 = numpy.swapaxes(results[1],1,2)
124 self.results.append(numpy.swapaxes(temparray2, 0, 1))
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| /dports/science/py-pymatgen/pymatgen-2022.0.15/pymatgen/analysis/tests/ |
| H A D | test_piezo_sensitivity.py | 122 rand_FCM = np.reshape(rand_FCM, (10, 3, 10, 3)).swapaxes(1, 2)
140 fcm = np.reshape(fcm, (10, 3, 10, 3)).swapaxes(1, 2)
158 rand_FCM = np.reshape(rand_FCM, (10, 3, 10, 3)).swapaxes(1, 2)
192 rand_FCM1 = np.reshape(rand_FCM1, (10, 3, 10, 3)).swapaxes(1, 2)
225 dyn = np.reshape(dyn, (10, 3, 10, 3)).swapaxes(1, 2)
236 dynmass = np.reshape(np.swapaxes(dynmass, 1, 2), (10 * 3, 10 * 3))
243 dynmass = np.reshape(dynmass, (10, 3, 10, 3)).swapaxes(1, 2)
305 dyn = np.reshape(dyn, (10, 3, 10, 3)).swapaxes(1, 2)
316 dynmass = np.reshape(np.swapaxes(dynmass, 1, 2), (10 * 3, 10 * 3))
323 dynmass = np.reshape(dynmass, (10, 3, 10, 3)).swapaxes(1, 2)
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| /dports/math/py-yt/yt-4.0.1/yt/data_objects/ |
| H A D | image_array.py | 331 out.swapaxes(0, 1), filename, nz.mean() + sigma_clip * nz.std()
334 return write_bitmap(out.swapaxes(0, 1), filename)
398 self.swapaxes(0, 1).to_ndarray(),
406 self.swapaxes(0, 1)[:, :, channel].to_ndarray(),
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| /dports/misc/py-onnx/onnx-1.10.2/onnx/backend/test/case/node/ |
| H A D | gatherelements.py | 17 data_swaped = np.swapaxes(data, 0, axis)
18 index_swaped = np.swapaxes(indices, 0, axis)
20 y = np.swapaxes(gathered, 0, axis)
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| /dports/graphics/vigra/vigra-8acd73a/vigranumpy/test/ |
| H A D | test_color.py | 61 vigra.impex.writeImage(a.swapaxes(0,1), "tmp1.png")
83 vigra.impex.writeImage(a.swapaxes(0,1), "tmp1.png")
94 tmp2 = tmp2.swapaxes(0,1)
|
| /dports/devel/py-pythran/pythran-0.11.0/pythran/pythonic/include/numpy/ |
| H A D | swapaxes.hpp | 11 auto swapaxes(T &&a, int axis1, int axis2) -> decltype(functor::transpose{}(
15 DEFINE_FUNCTOR(pythonic::numpy, swapaxes);
|
| /dports/math/py-PyWavelets/pywt-1.2.0/demo/ |
| H A D | image_blender.py | 59 return arr.swapaxes(0, 2).swapaxes(1, 2).astype(numpy.float32)
64 arr = arr.swapaxes(1, 2).swapaxes(0, 2)
|
| /dports/science/py-scipy/scipy-1.7.1/scipy/fft/_pocketfft/tests/ |
| H A D | test_basic.py | 13 swapaxes, cdouble)
630 assert_array_almost_equal(swapaxes(swapaxes(y, -1, -3), -1, -2),
633 assert_array_almost_equal(swapaxes(swapaxes(y, -1, -3), -3, -2),
667 swapaxes(y[:, 0, :], -1, -2))
669 swapaxes(y[:, 1, :], -1, -2))
671 swapaxes(y[:, 2, :], -1, -2))
675 swapaxes(y[:, :, 0], -1, -2))
677 swapaxes(y[:, :, 1], -1, -2))
679 swapaxes(y[:, :, 2], -1, -2))
723 assert_array_almost_equal(y, swapaxes(
[all …]
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/julia/examples/imagenet/ijulia-pretrained-predict/ |
| H A D | imagehelper.py | 44 sample = np.swapaxes(sample, 0, 2)
45 sample = np.swapaxes(sample, 1, 2)
|
| /dports/graphics/vigra/vigra-8acd73a/vigranumpy/examples/ |
| H A D | eccentricity_transform.py | 14 plt.imshow(numpy.swapaxes(ecc, 1, 0), cmap=cmap)
22 plt.imshow(numpy.swapaxes(ecc, 1, 0), cmap=cmap)
|
| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/julia/examples/imagenet/ijulia-pretrained-predict/ |
| H A D | imagehelper.py | 44 sample = np.swapaxes(sample, 0, 2)
45 sample = np.swapaxes(sample, 1, 2)
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/functions/array/ |
| H A D | swapaxes.py | 21 return x.swapaxes(self.axis1, self.axis2),
28 def swapaxes(x, axis1, axis2): function
|
| /dports/science/chemps2/CheMPS2-1.8.10/integrals/pyscf/ |
| H A D | debug_4rdm.py | 79 …pyscf_dm4 = pyscf_dm4.swapaxes( 1, 2 ) # dm4[ 1, 5, 2, 6, 3, 7, 4, 8 ] -> dm4[ 1, 2, 5, 6, 3, 7, 4…
80 …pyscf_dm4 = pyscf_dm4.swapaxes( 2, 4 ) # dm4[ 1, 2, 5, 6, 3, 7, 4, 8 ] -> dm4[ 1, 2, 3, 6, 5, 7, 4…
81 …pyscf_dm4 = pyscf_dm4.swapaxes( 3, 6 ) # dm4[ 1, 2, 3, 6, 5, 7, 4, 8 ] -> dm4[ 1, 2, 3, 4, 5, 7, 6…
82 …pyscf_dm4 = pyscf_dm4.swapaxes( 5, 6 ) # dm4[ 1, 2, 3, 4, 5, 7, 6, 8 ] -> dm4[ 1, 2, 3, 4, 5, 6, 7…
|
| /dports/math/py-arviz/arviz-0.11.4/arviz/data/ |
| H A D | io_emcee.py | 124 self.sampler.get_chain()[(..., idx)].swapaxes(0, 1)
202 blobs = blobs.swapaxes(0, 2)
220 blob_dict[self.blob_groups[0]][self.blob_names[0]] = blobs.swapaxes(0, 2).swapaxes(0, 1)
235 self.sampler.get_log_prob().swapaxes(0, 1)
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| /dports/math/py-chaospy/chaospy-4.3.3/chaospy/distributions/kernel/ |
| H A D | mixture.py | 52 return numpy.swapaxes(self._covariance, 0, 2)
75 covariances = numpy.swapaxes(covariances, 0, 2)
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/neural-style/ |
| H A D | nstyle.py | 82 sample = np.swapaxes(sample, 0, 2)
83 sample = np.swapaxes(sample, 1, 2)
95 sample = np.swapaxes(sample, 0, 2)
96 sample = np.swapaxes(sample, 1, 2)
108 img = np.swapaxes(img, 1, 2)
109 img = np.swapaxes(img, 0, 2)
|