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1 | 1 | import traceback |
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2 | 2 | from SciQLopBindings import PyDataProvider, Product, VectorTimeSerie, ScalarTimeSerie, DataSeriesType |
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3 | 3 | import numpy as np |
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4 |
from sp |
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5 |
from sp |
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4 | from speasy.cache import _cache | |
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5 | from speasy.common.datetime_range import DateTimeRange | |
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6 | 6 | from datetime import datetime, timedelta, timezone |
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7 |
from sp |
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8 |
from sp |
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7 | from speasy.common.variable import SpeasyVariable | |
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8 | from speasy.amda import AMDA | |
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9 | 9 | |
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10 | 10 | amda = AMDA() |
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11 | 11 | |
| @@ -5,7 +5,7 from SciQLopBindings import PyDataProvider, Product, VectorTimeSerie, ScalarTime | |||
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5 | 5 | import numpy as np |
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6 | 6 | import requests |
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7 | 7 | import copy |
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8 |
from sp |
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8 | from speasy.amda import AMDA | |
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9 | 9 | |
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10 | 10 | amda = AMDA() |
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11 | 11 | |
| @@ -2,35 +2,35 import traceback | |||
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2 | 2 | from SciQLopBindings import PyDataProvider, Product, VectorTimeSerie, ScalarTimeSerie, DataSeriesType |
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3 | 3 | import numpy as np |
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4 | 4 | import math |
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5 |
from sp |
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6 |
from sp |
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5 | from speasy.cache import _cache | |
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6 | from speasy.common.datetime_range import DateTimeRange | |
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7 | 7 | from functools import partial |
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8 | 8 | from datetime import datetime, timedelta, timezone |
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9 |
from sp |
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9 | from speasy.common.variable import SpeasyVariable | |
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10 | 10 | |
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11 | 11 | |
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12 | 12 | def make_scalar(x): |
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13 | 13 | y = np.cos(x/10.) |
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14 |
return Sp |
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14 | return SpeasyVariable(time=x, data=y) | |
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15 | 15 | |
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16 | 16 | def make_vector(x): |
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17 | 17 | v=np.ones((len(x),3)) |
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18 | 18 | for i in range(3): |
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19 | 19 | v.transpose()[:][i] = np.cos(x/10. + float(i)) + (100. * np.cos(x/10000. + float(i))) |
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20 |
return Sp |
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20 | return SpeasyVariable(time=x, data=v) | |
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21 | 21 | |
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22 | 22 | |
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23 | 23 | def make_multicomponent(x): |
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24 | 24 | v=np.ones((len(x),4)) |
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25 | 25 | for i in range(4): |
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26 | 26 | v.transpose()[:][i] = float(i+1) * np.cos(x/10. + float(i)) |
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27 |
return Sp |
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27 | return SpeasyVariable(time=x, data=v) | |
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28 | 28 | |
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29 | 29 | def make_spectrogram(x): |
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30 | 30 | v=np.ones((len(x),32)) |
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31 | 31 | for i in range(32): |
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32 | 32 | v.transpose()[:][i] = 100.*(2.+ float(i+1) * np.cos(x/1024. + float(i))) |
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33 |
return Sp |
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33 | return SpeasyVariable(time=x, data=v) | |
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34 | 34 | |
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35 | 35 | |
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36 | 36 | def _get_data(p_type, start, stop): |
| @@ -20,7 +20,7 cp $HERE/AppRun $SCIQLOP_APPDIR/ | |||
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20 | 20 | chmod +x $SCIQLOP_APPDIR/AppRun |
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21 | 21 | # Tweak to find custom python from build dir |
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22 | 22 | sed "s|/usr|$SCIQLOP_APPDIR/usr|" -i $SCIQLOP_APPDIR/usr/lib/pkgconfig/python3.pc |
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23 |
LD_PRELOAD=$SCIQLOP_APPDIR/usr/lib/libpython3.7m.so.1.0 PATH=$SCIQLOP_APPDIR/usr/bin/:/usr/bin/ LD_LIBRARY_PATH=AppDir/usr/lib/:AppDir/usr/lib/python3.7/ $SCIQLOP_APPDIR/usr/bin/python3 $SCIQLOP_APPDIR/usr/bin/pip3 install |
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23 | LD_PRELOAD=$SCIQLOP_APPDIR/usr/lib/libpython3.7m.so.1.0 PATH=$SCIQLOP_APPDIR/usr/bin/:/usr/bin/ LD_LIBRARY_PATH=AppDir/usr/lib/:AppDir/usr/lib/python3.7/ $SCIQLOP_APPDIR/usr/bin/python3 $SCIQLOP_APPDIR/usr/bin/pip3 install speasy | |
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24 | 24 | LD_LIBRARY_PATH=$SCIQLOP_APPDIR/usr/lib/ PKG_CONFIG_PATH=$SCIQLOP_APPDIR/usr/lib/pkgconfig/:$PKG_CONFIG_PATH PATH=$SCIQLOP_APPDIR/usr/bin/:$PATH meson --prefix=/usr .. |
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25 | 25 | ninja |
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26 | 26 | DESTDIR=$SCIQLOP_APPDIR ninja install |
| @@ -10,6 +10,6 ninja install | |||
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10 | 10 | ~/Library/Python/3.7/bin/virtualenv --always-copy /tmp/SciQLOP.app |
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11 | 11 | ~/Library/Python/3.7/bin/virtualenv --relocatable /tmp/SciQLOP.app |
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12 | 12 | source /tmp/SciQLOP.app/bin/activate |
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13 |
/tmp/SciQLOP.app/bin/pip install |
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13 | /tmp/SciQLOP.app/bin/pip install speasy | |
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14 | 14 | cp $HERE/SciQLOP_wrapper /tmp/SciQLOP.app/Contents/MacOS/ |
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15 | 15 | chmod +x /tmp/SciQLOP.app/Contents/MacOS/SciQLOP_wrapper |
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