How to use the quadpy.tetrahedron.helpers._s211 function in quadpy
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nschloe / quadpy / quadpy / tetrahedron / vioreanu_rokhlin.py View on Github 
2.149874196554802e-02,
_s211(4.431548387057316e-02, 7.009568921763990e-01),
),
(2.932785970523123e-02, _s22(4.535094091980409e-01)),
(
6.108234662137460e-02,
_s211(2.272082578263463e-01, 5.104553962651259e-02),
),
(1.217684000224085e-01, _s4()),
]
elif index == 5:
self.degree = 7
data = [
(
8.393257975516334e-03,
_s211(3.403237404201720e-02, 7.679769895445143e-01),
),
(9.851051861183095e-03, _s31(4.717778359328573e-02)),
(
1.823867305835592e-02,
_s211(4.026038652328617e-02, 5.785386005230662e-01),
),
(
2.884515620851804e-02,
_s211(1.847132125389332e-01, 3.986787209774240e-02),
),
(
3.063482006319787e-02,
_s211(3.851844624255586e-01, 1.892713069674117e-01),
),
(6.514655955538516e-02, _s31(1.953741548049375e-01)),
]_s211(1.317016306156411e-01, 4.510721858498442e-01),
),
(3.203729014727367e-02, _s31(2.892110643292711e-01)),
]
elif index == 8:
self.degree = 11
data = [
(
9.695447888568765e-04,
_s211(2.388787886656957e-02, 8.705443116154074e-01),
),
(1.959903828226847e-03, _s31(2.617103277295219e-02)),
(2.292744495731360e-03, _s22(1.375236581886419e-02)),
(
2.802692325922526e-03,
_s211(1.903349443211699e-02, 7.970471485218408e-01),
),
(
3.118388063437694e-03,
_s211(1.008596673993710e-01, 1.436337595093029e-02),
),
(
4.365256048613347e-03,
_s211(2.434906451212993e-02, 6.322506459263664e-01),
),
(
5.950359199919208e-03,
_s1111(
6.716079793211197e-01,
2.028653638555222e-01,
1.012015873047946e-01,
),elif index == 6:
self.degree = 9
data = [
(
4.285129606204518e-03,
_s211(2.746372670954444e-02, 8.069307625165607e-01),
),
(4.945914135463306e-03, _s31(3.556631480914729e-02)),
(
7.439006613987653e-03,
_s211(2.958339293908863e-02, 6.778165664396495e-01),
),
(9.250687037503105e-03, _s22(2.788965124806808e-02)),
(
1.453642863447186e-02,
_s211(1.464088963597444e-01, 3.036385732664770e-02),
),
(
1.762601881781520e-02,
_s1111(
5.071064293713055e-01,
3.193022325264996e-01,
1.429601001927085e-01,
),
),
(2.522896190677588e-02, _s31(3.226117863678400e-01)),
(3.402441161166769e-02, _s31(1.512007882172118e-01)),
(4.714680510152520e-02, _s22(3.437976739841325e-01)),
]
elif index == 7:
self.degree = 10
data = [1.786655410279764e-01,
7.971539172604925e-02,
),
),
(
5.138056712393536e-03,
_s1111(
5.990133535361137e-01,
2.979840982969011e-01,
8.413051172360086e-02,
),
),
(5.506829153098441e-03, _s31(3.276176808608863e-01)),
(
5.719278052186033e-03,
_s211(4.469402940184373e-01, 8.675844882562167e-02),
),
(
6.394220575258051e-03,
_s211(1.891121490910459e-01, 1.892485052021575e-02),
),
(
6.405474784136410e-03,
_s1111(
4.568679514095241e-01,
3.253255095768594e-01,
1.994214547588828e-01,
),
),
(6.875685401153072e-03, _s31(8.433252216723813e-02)),
(
1.066709630566213e-02,3.253255095768594e-01,
1.994214547588828e-01,
),
),
(6.875685401153072e-03, _s31(8.433252216723813e-02)),
(
1.066709630566213e-02,
_s211(9.719941787513314e-02, 4.601344642402377e-01),
),
(
1.229281709786569e-02,
_s211(3.463288089439753e-01, 2.155054870671660e-01),
),
(
1.250759519378543e-02,
_s211(9.576008835067273e-02, 6.023289518800232e-01),
),
(
1.404082813990796e-02,
_s211(2.204649331210681e-01, 9.329765691467751e-02),
),
(2.136208805503387e-02, _s31(2.136603304379895e-01)),
]
self.bary, self.weights = untangle(data)
self.points = self.bary[:, 1:]
self.weights *= 3.0 / 4.0
return(6.875685401153072e-03, _s31(8.433252216723813e-02)),
(
1.066709630566213e-02,
_s211(9.719941787513314e-02, 4.601344642402377e-01),
),
(
1.229281709786569e-02,
_s211(3.463288089439753e-01, 2.155054870671660e-01),
),
(
1.250759519378543e-02,
_s211(9.576008835067273e-02, 6.023289518800232e-01),
),
(
1.404082813990796e-02,
_s211(2.204649331210681e-01, 9.329765691467751e-02),
),
(2.136208805503387e-02, _s31(2.136603304379895e-01)),
]
self.bary, self.weights = untangle(data)
self.points = self.bary[:, 1:]
self.weights *= 3.0 / 4.0
return(
1.171751035102570e-02,
_s1111(
5.808224332151291e-01,
2.655436309321665e-01,
1.265978171994966e-01,
),
),
(
1.326836978850226e-02,
_s211(2.743983921192598e-01, 2.644624205083912e-02),
),
(2.170104502184572e-02, _s31(1.255838222754385e-01)),
(
2.545990060255948e-02,
_s211(1.317016306156411e-01, 4.510721858498442e-01),
),
(3.203729014727367e-02, _s31(2.892110643292711e-01)),
]
elif index == 8:
self.degree = 11
data = [
(
9.695447888568765e-04,
_s211(2.388787886656957e-02, 8.705443116154074e-01),
),
(1.959903828226847e-03, _s31(2.617103277295219e-02)),
(2.292744495731360e-03, _s22(1.375236581886419e-02)),
(
2.802692325922526e-03,
_s211(1.903349443211699e-02, 7.970471485218408e-01),
),),
(
1.078862373479965e-02,
_s211(4.304204597375166e-01, 1.136247661434978e-01),
),
(
1.171751035102570e-02,
_s1111(
5.808224332151291e-01,
2.655436309321665e-01,
1.265978171994966e-01,
),
),
(
1.326836978850226e-02,
_s211(2.743983921192598e-01, 2.644624205083912e-02),
),
(2.170104502184572e-02, _s31(1.255838222754385e-01)),
(
2.545990060255948e-02,
_s211(1.317016306156411e-01, 4.510721858498442e-01),
),
(3.203729014727367e-02, _s31(2.892110643292711e-01)),
]
elif index == 8:
self.degree = 11
data = [
(
9.695447888568765e-04,
_s211(2.388787886656957e-02, 8.705443116154074e-01),
),
(1.959903828226847e-03, _s31(2.617103277295219e-02)),1.806093108194538e-02,
_s211(1.171336251346634e-01, 5.212126864871611e-01),
),
(
1.842574822070229e-02,
_s211(2.516437633635237e-01, 1.073345337250223e-01),
),
(3.302611141250949e-02, _s4()),
]
else:
assert index == 9
self.degree = 13
data = [
(
5.973324616573234e-04,
_s211(1.330521685089425e-02, 9.020031738386604e-01),
),
(9.867179979395793e-04, _s31(2.195048789714021e-02)),
(
1.530602010365591e-03,
_s211(1.768399597717130e-02, 8.196215282360872e-01),
),
(
1.747170153157562e-03,
_s211(1.529671184250192e-02, 7.011322545807197e-01),
),
(
2.084303013925438e-03,
_s211(1.653903692788761e-02, 5.552429363123564e-01),
),
(
2.673796478110494e-03,3.063482006319787e-02,
_s211(3.851844624255586e-01, 1.892713069674117e-01),
),
(6.514655955538516e-02, _s31(1.953741548049375e-01)),
]
elif index == 6:
self.degree = 9
data = [
(
4.285129606204518e-03,
_s211(2.746372670954444e-02, 8.069307625165607e-01),
),
(4.945914135463306e-03, _s31(3.556631480914729e-02)),
(
7.439006613987653e-03,
_s211(2.958339293908863e-02, 6.778165664396495e-01),
),
(9.250687037503105e-03, _s22(2.788965124806808e-02)),
(
1.453642863447186e-02,
_s211(1.464088963597444e-01, 3.036385732664770e-02),
),
(
1.762601881781520e-02,
_s1111(
5.071064293713055e-01,
3.193022325264996e-01,
1.429601001927085e-01,
),
),
(2.522896190677588e-02, _s31(3.226117863678400e-01)),
(3.402441161166769e-02, _s31(1.512007882172118e-01)),quadpy
Numerical integration, quadrature for various domains
Package Health Score
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