From 932cb5c6ca47af3800922a07e0ca3dabbca5ea29 Mon Sep 17 00:00:00 2001
From: Jean-Baptiste Keck <Jean-Baptiste.Keck@imag.fr>
Date: Wed, 8 Aug 2018 19:38:19 +0200
Subject: [PATCH] fixed notebooks
---
hysop/topology/topology_descriptor.py | 2 +
notebooks/00_introduction.ipynb | 787 ++++++++++++--------------
notebooks/01_analytical.ipynb | 450 +--------------
3 files changed, 377 insertions(+), 862 deletions(-)
diff --git a/hysop/topology/topology_descriptor.py b/hysop/topology/topology_descriptor.py
index f3e15bb62..3045b0979 100644
--- a/hysop/topology/topology_descriptor.py
+++ b/hysop/topology/topology_descriptor.py
@@ -70,6 +70,8 @@ class TopologyDescriptor(object):
if isinstance(handle, Topology):
# handle is already a Topology, so we return it.
return handle
+ elif isinstance(handle, TopologyView):
+ return handle._topology
elif isinstance(handle, TopologyDescriptor):
# handle is already a TopologyDescriptor, so we return it.
return handle
diff --git a/notebooks/00_introduction.ipynb b/notebooks/00_introduction.ipynb
index d714d77c0..3e8170521 100644
--- a/notebooks/00_introduction.ipynb
+++ b/notebooks/00_introduction.ipynb
@@ -29,20 +29,7 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- "Starting hysop version 2.0.0-rc.1 with 1 mpi process(es) on 1 host(s) providing 1 shared memory node(s).\n",
- "\n",
- "*Default path for all i/o is '/home/keckj/Documents/hysop/notebooks/interactive/p1'.\n",
- "*Default path for caching is '/home/keckj/.cache/hysop'.\n",
- "\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"%matplotlib inline\n",
"# First we import HySoP and some types we will need for this tutorial\n",
@@ -361,6 +348,8 @@
" | \n",
" | __init__(self, obj_view=None, **kwds)\n",
" | \n",
+ " | __repr__(self)\n",
+ " | \n",
" | ----------------------------------------------------------------------\n",
" | Data descriptors inherited from hysop.tools.handle.TaggedObjectView:\n",
" | \n",
@@ -370,12 +359,18 @@
" | __weakref__\n",
" | list of weak references to the object (if defined)\n",
" | \n",
+ " | full_pretty_tag\n",
+ " | Unique tag of the underlying object view with cls information.\n",
+ " | \n",
" | full_tag\n",
" | Unique tag of the underlying object view with cls information.\n",
" | \n",
" | id\n",
" | Unique id of the underlying object view.\n",
" | \n",
+ " | pretty_tag\n",
+ " | Unique pretty tag of the underlying object view.\n",
+ " | \n",
" | tag\n",
" | Unique tag of the underlying object view.\n",
" | \n",
@@ -442,24 +437,24 @@
"text": [
"HYSOP_REAL is set to float64.\n",
"\n",
- "Field::f0\n",
- " *name: F0\n",
- " *pname: F0\n",
- " *dim: 2\n",
- " *nb_components: 1\n",
- " *dtype: float64\n",
- " *initial values: (0, 0)\n",
- " *topology tags: []\n",
- " \n",
- "Field::f1\n",
- " *name: F1\n",
- " *pname: F1\n",
- " *dim: 2\n",
- " *nb_components: 1\n",
- " *dtype: int32\n",
- " *initial values: (0, 0)\n",
- " *topology tags: []\n",
- " \n"
+ "ScalarField::f0\n",
+ " *name: F0\n",
+ " *pname: F0\n",
+ " *dim: 2\n",
+ " *dtype: float64\n",
+ " *symbolic repr.: F0\n",
+ " *initial values: (0, 0)\n",
+ " *topology tags: []\n",
+ "\n",
+ "ScalarField::f1\n",
+ " *name: F1\n",
+ " *pname: F1\n",
+ " *dim: 2\n",
+ " *dtype: int32\n",
+ " *symbolic repr.: F1\n",
+ " *initial values: (0, 0)\n",
+ " *topology tags: []\n",
+ "\n"
]
}
],
@@ -490,33 +485,50 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Field::f2\n",
- " *name: V0\n",
- " *pname: V0\n",
- " *dim: 2\n",
- " *nb_components: 2\n",
- " *dtype: float64\n",
- " *initial values: (0, 0)\n",
- " *topology tags: []\n",
- " \n",
- "Field::f3\n",
- " *name: V1\n",
- " *pname: V1\n",
- " *dim: 2\n",
- " *nb_components: 3\n",
- " *dtype: float64\n",
- " *initial values: (0, 0)\n",
- " *topology tags: []\n",
- " \n"
+ "VectorField::tf0\n",
+ " *name: V0\n",
+ " *pname: V0\n",
+ " *dim: 2\n",
+ " *shape: (2,)\n",
+ " *nb_components: 2\n",
+ " *symbolic repr.:\n",
+ " [[V0â‚€]\n",
+ " [V0â‚]]\n",
+ "\n",
+ "VectorField::tf1\n",
+ " *name: V1\n",
+ " *pname: V1\n",
+ " *dim: 2\n",
+ " *shape: (3,)\n",
+ " *nb_components: 3\n",
+ " *symbolic repr.:\n",
+ " [[V1â‚€]\n",
+ " [V1â‚]\n",
+ " [V1â‚‚]]\n",
+ "\n",
+ "TensorField::tf2\n",
+ " *name: T\n",
+ " *pname: T\n",
+ " *dim: 2\n",
+ " *shape: (3, 2)\n",
+ " *nb_components: 6\n",
+ " *symbolic repr.:\n",
+ " [[T₀₀ Tâ‚€â‚]\n",
+ " [Tâ‚â‚€ Tâ‚â‚]\n",
+ " [Tâ‚‚â‚€ Tâ‚‚â‚]]\n"
]
}
],
"source": [
"field2 = Field(name='V0', domain=domain, is_vector=True)\n",
"field3 = Field(name='V1', domain=domain, nb_components=3)\n",
+ "field4 = Field(name='T', domain=domain, shape=(3,2))\n",
"\n",
"print field2\n",
- "print field3"
+ "print\n",
+ "print field3\n",
+ "print\n",
+ "print field4"
]
},
{
@@ -544,7 +556,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CartesianTopology[tag=t0, domain=Box::d1, pcoords=[0 0], pshape=[1 1], shape=[5,5], ghosts=[0,0]]\n"
+ "CartesianTopology::t0[domain=Box::d1, pcoords=[0 0], pshape=[1 1], shape=[5,5], ghosts=[0,0], backend=HOST]\n"
]
}
],
@@ -572,7 +584,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CartesianTopology[tag=t1, domain=Box::d1, pcoords=[0 0], pshape=[1 1], shape=[5,5], ghosts=[1,2]]\n"
+ "CartesianTopology::t1[domain=Box::d1, pcoords=[0 0], pshape=[1 1], shape=[5,5], ghosts=[1,2], backend=HOST]\n"
]
}
],
@@ -637,9 +649,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- "Allocation of discrete field F00 (CartesianDiscreteField::df0) on CartesianTopology::t0\n",
- " (compute_res=[4 4], ghosts=[0 0], nb_comp=1, dtype=float64, size=128.0B)\n",
"[[ 0.00 0.00 0.00 0.00]\n",
" [ 0.00 2.00 2.00 0.00]\n",
" [ 0.00 0.00 0.00 0.00]\n",
@@ -659,13 +668,13 @@
"assert dfield0.dfield is dfield0_bis.dfield\n",
"\n",
"# Accessing data is simple as:\n",
- "dfield0[0][...] = 0.0\n",
- "dfield0[0][1,1:3] = 2\n",
- "print dfield0.data[0]\n",
+ "dfield0.data[0][...] = 0.0\n",
+ "dfield0.data[0][1,1:3] = 2\n",
+ "print dfield0.sdata\n",
"print\n",
"\n",
- "dfield0[0][...] = 1.0\n",
- "print dfield0_bis.data[0]"
+ "dfield0.sdata[...] = 1.0\n",
+ "print dfield0_bis.sdata"
]
},
{
@@ -685,9 +694,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- "Allocation of discrete field F01 (CartesianDiscreteField::df1) on CartesianTopology::t1\n",
- " (compute_res=[4 4], ghosts=[1 2], nb_comp=1, dtype=float64, size=384.0B)\n",
"[[ 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00]\n",
" [ 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00]\n",
" [ 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00]\n",
@@ -695,12 +701,12 @@
" [ 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00]\n",
" [ 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00]]\n",
"\n",
- "[[ 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00]\n",
- " [ 0.00 0.00 1.00 1.00 1.00 1.00 0.00 0.00]\n",
- " [ 0.00 0.00 1.00 1.00 1.00 1.00 0.00 0.00]\n",
- " [ 0.00 0.00 1.00 1.00 1.00 1.00 0.00 0.00]\n",
- " [ 0.00 0.00 1.00 1.00 1.00 1.00 0.00 0.00]\n",
- " [ 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00]]\n",
+ "[[ nan nan nan nan nan nan nan nan]\n",
+ " [ nan nan 1.00 1.00 1.00 1.00 nan nan]\n",
+ " [ nan nan 1.00 1.00 1.00 1.00 nan nan]\n",
+ " [ nan nan 1.00 1.00 1.00 1.00 nan nan]\n",
+ " [ nan nan 1.00 1.00 1.00 1.00 nan nan]\n",
+ " [ nan nan nan nan nan nan nan nan]]\n",
"(slice(1, 5, None), slice(2, 6, None))\n"
]
}
@@ -710,13 +716,15 @@
"dfield1 = field0.discretize(t1)\n",
"\n",
"# Put zeros everywhere\n",
- "dfield1[0][...] = 0.0\n",
- "print dfield1.data[0]\n",
+ "dfield1.sdata[...] = 0.0\n",
+ "print dfield1.sdata\n",
"print\n",
"\n",
"# Put ones inside the compute domain (exluding ghosts)\n",
- "dfield1[0][dfield1.compute_slices] = 1.0\n",
- "print dfield1.data[0]\n",
+ "# and NaNs in the ghost layers\n",
+ "dfield1.sdata[...] = np.nan\n",
+ "dfield1.sdata[dfield1.compute_slices] = 1.0\n",
+ "print dfield1.sdata\n",
"print dfield1.compute_slices"
]
},
@@ -741,13 +749,12 @@
" [ X X 1.00 1.00 1.00 1.00 X X ]\n",
" [ X X 1.00 1.00 1.00 1.00 X X ]\n",
" [ X X 1.00 1.00 1.00 1.00 X X ]\n",
- " [ X X X X X X X X ]]\n",
- "None\n"
+ " [ X X X X X X X X ]]\n"
]
}
],
"source": [
- "print dfield1.print_with_ghosts(component=0)"
+ "dfield1.print_with_ghosts(component=0)"
]
},
{
@@ -766,24 +773,18 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- ">Initializing discrete field F00 with formula f0.\n",
"f(x,y) = x\n",
"[[ 0.00 1.57 3.14 4.71]\n",
" [ 0.00 1.57 3.14 4.71]\n",
" [ 0.00 1.57 3.14 4.71]\n",
" [ 0.00 1.57 3.14 4.71]]\n",
"\n",
- "\n",
- ">Initializing discrete field F00 with formula f1.\n",
"f(x,y) = y\n",
"[[ 0.00 0.00 0.00 0.00]\n",
" [ 1.57 1.57 1.57 1.57]\n",
" [ 3.14 3.14 3.14 3.14]\n",
" [ 4.71 4.71 4.71 4.71]]\n",
"\n",
- "\n",
- ">Initializing discrete field F00 with formula f2.\n",
"f(x,y) = xy\n",
"[[ 0.00 0.00 0.00 0.00]\n",
" [ 0.00 2.47 4.93 7.40]\n",
@@ -795,21 +796,21 @@
],
"source": [
"def f0(data, coords):\n",
- " x,y = coords\n",
+ " x,y = coords[0]\n",
" data[0][...] = x\n",
" \n",
"def f1(data, coords):\n",
- " x,y = coords\n",
+ " x,y = coords[0]\n",
" data[0][...] = y\n",
" \n",
"def f2(data, coords):\n",
- " x,y = coords\n",
+ " x,y = coords[0]\n",
" data[0][...] = x*y\n",
"\n",
"for (f,fname) in zip((f0,f1,f2),('x','y','xy')):\n",
" dfield0.initialize(f)\n",
" print 'f(x,y) = {}'.format(fname)\n",
- " print dfield0[0]\n",
+ " print dfield0.sdata\n",
" print"
]
},
@@ -831,11 +832,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- "Allocation of discrete field V11 (CartesianDiscreteField::df2) on CartesianTopology::t1\n",
- " (compute_res=[4 4], ghosts=[1 2], nb_comp=3, dtype=float64, size=1.15kB)\n",
- "\n",
- ">Initializing discrete field V11 with formula f.\n",
"Component 0:\n",
"[[ X X X X X X X X ]\n",
" [ X X 0.00 1.57 3.14 4.71 X X ]\n",
@@ -865,7 +861,7 @@
],
"source": [
"def f(data, coords):\n",
- " x,y = coords\n",
+ " x,y = coords[0]\n",
" data[0][...] = x\n",
" data[1][...] = y\n",
" data[2][...] = x*y\n",
@@ -897,8 +893,6 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- ">Initializing discrete field V11 with formula f.\n",
"Component 0:\n",
"[[ X X X X X X X X ]\n",
" [ X X 0.00 0.16 0.31 0.47 X X ]\n",
@@ -928,7 +922,7 @@
],
"source": [
"def f(data, coords, p=1.0):\n",
- " x,y = coords\n",
+ " x,y = coords[0]\n",
" data[0][...] = p*x\n",
" data[1][...] = p*y\n",
" data[2][...] = p*x*y\n",
@@ -999,9 +993,9 @@
"data": {
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"</video>"
@@ -1360,48 +1355,6 @@
"source": [
"In the next notebook we will see how to do this the HySoP way by introducing operators and computational graphs."
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
@@ -1420,7 +1373,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
- "version": "2.7.12"
+ "version": "2.7.15rc1"
}
},
"nbformat": 4,
diff --git a/notebooks/01_analytical.ipynb b/notebooks/01_analytical.ipynb
index 2b2096cd1..bc75bdef4 100644
--- a/notebooks/01_analytical.ipynb
+++ b/notebooks/01_analytical.ipynb
@@ -28,20 +28,7 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- "Starting hysop version 2.0.0-rc.1 with 1 mpi process(es) on 1 host(s) providing 1 shared memory node(s).\n",
- "\n",
- "*Default path for all i/o is '/home/poulpy/Documents/hysop/notebooks/interactive/p1'.\n",
- "*Default path for caching is '/home/poulpy/.cache/hysop'.\n",
- "\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"import hysop\n",
"from hysop.deps import np\n",
@@ -151,7 +138,7 @@
"source": [
"def compute_scalar(data, coords, t):\n",
" data[0][...] = (1.0/(1.0+0.1*t()))\n",
- " for x in coords:\n",
+ " for x in coords[0]:\n",
" data[0][...] *= np.cos(x-t())\n",
" \n",
"# Analytic operator\n",
@@ -193,70 +180,7 @@
"cell_type": "code",
"execution_count": 6,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- "Initializing problem...\n",
- "\n",
- "== ComputationalGraph Problem domain and operator report ==================\n",
- ">Box::d0 (O=[0.0,0.0], L=[6.3,6.3], BC=[PER/PER,PER/PER], current_task=999)\n",
- " OPERATOR INPUTS OUTPUTS OPERATOR TYPE \n",
- " analytic [t] -> [F0] PythonAnalyticField\n",
- " dumped_scalar_field [F0] -> no outputs HDF_Writer \n",
- "===========================================================================\n",
- "\n",
- "\n",
- "== ComputationalGraph Problem field requirements report ============================================\n",
- ">INPUTS:\n",
- " CartesianTopology[tag=t0, domain=Box::d0, pcoords=[0 0], pshape=[1 1], shape=[65,65], ghosts=[0,0]]\n",
- " OPERATOR FIELD GHOSTS BASIS TSTATES\n",
- " dumped_scalar_field F0 [0,0]<=ghosts<[+∞,+∞] ANY YX \n",
- ">OUTPUTS:\n",
- " CartesianTopology[tag=t0, domain=Box::d0, pcoords=[0 0], pshape=[1 1], shape=[65,65], ghosts=[0,0]]\n",
- " OPERATOR FIELD GHOSTS BASIS TSTATES\n",
- " analytic F0 [0,0]<=ghosts<[+∞,+∞] ANY ANY \n",
- "====================================================================================================\n",
- "\n",
- "\n",
- "== ComputationalGraph Problem topology report ========================================================\n",
- " :HostBackend: tag=bk1, allocator=HostAllocator::al0:\n",
- " *CartesianTopology[tag=t0, domain=Box::d0, pcoords=[0 0], pshape=[1 1], shape=[65,65], ghosts=[0,0]]\n",
- "======================================================================================================\n",
- "\n",
- "\n",
- "== ComputationalGraph Problem discrete operator report ===================\n",
- " ID OPERATOR INPUTS OUTPUTS OPERATOR TYPE \n",
- " 0 analytic [t] -> [F0.t0] PythonAnalyticField\n",
- " 1 dumped_scalar_field [F0.t0] -> no outputs HDF_Writer \n",
- "==========================================================================\n",
- "\n",
- "\n",
- "Discretizing problem...\n",
- "\n",
- "Allocation of discrete field F00 (CartesianDiscreteField::df0) on CartesianTopology::t0\n",
- " (compute_res=[64 64], ghosts=[0 0], nb_comp=1, dtype=float32, size=16.38kB)\n",
- "\n",
- "Getting work properties...\n",
- "\n",
- "== ComputationalGraph Problem work properties report ==\n",
- " No extra buffers have been requested.\n",
- "=======================================================\n",
- "\n",
- "\n",
- "Allocating work...\n",
- "\n",
- "Setting up problem...\n",
- "\n",
- "***********************************************\n",
- "** Problem building took 0:00:00 (0.016152s) **\n",
- "***********************************************\n",
- "\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"# Create a problem and build it\n",
"problem = Problem()\n",
@@ -275,371 +199,7 @@
"cell_type": "code",
"execution_count": 7,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- ">Parameter dt set to 0.0628318530718.\n",
- ">Parameter t set to 0.0.\n",
- "\n",
- "Solving problem...\n",
- ">Parameter t set to 0.0.\n",
- ">Parameter dt set to 0.0628318530718.\n",
- "\n",
- "== Iteration : 0, from t = 0.0 to t = 0.06283 ==\n",
- ">Parameter t set to 0.0628318563104.\n",
- "\n",
- "== Iteration : 1, from t = 0.062832 to t = 0.12566 ==\n",
- ">Parameter t set to 0.125663712621.\n",
- "\n",
- "== Iteration : 2, from t = 0.12566 to t = 0.18850 ==\n",
- ">Parameter t set to 0.188495576382.\n",
- "\n",
- "== Iteration : 3, from t = 0.1885 to t = 0.25133 ==\n",
- ">Parameter t set to 0.251327425241.\n",
- "\n",
- "== Iteration : 4, from t = 0.25133 to t = 0.31416 ==\n",
- ">Parameter t set to 0.314159274101.\n",
- "\n",
- "== Iteration : 5, from t = 0.31416 to t = 0.37699 ==\n",
- ">Parameter t set to 0.376991122961.\n",
- "\n",
- "== Iteration : 6, from t = 0.37699 to t = 0.43982 ==\n",
- ">Parameter t set to 0.439822971821.\n",
- "\n",
- "== Iteration : 7, from t = 0.43982 to t = 0.50265 ==\n",
- ">Parameter t set to 0.502654850483.\n",
- "\n",
- "== Iteration : 8, from t = 0.50265 to t = 0.56549 ==\n",
- ">Parameter t set to 0.565486729145.\n",
- "\n",
- "== Iteration : 9, from t = 0.56549 to t = 0.62832 ==\n",
- ">Parameter t set to 0.628318607807.\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=10, total= 13.8ms, mean= 1.4ms\n",
- " >dumped_scalar_field::apply ncalls=10, total= 21.6ms, mean= 2.2ms\n",
- "\n",
- "== Iteration : 10, from t = 0.62832 to t = 0.69115 ==\n",
- ">Parameter t set to 0.691150486469.\n",
- "\n",
- "== Iteration : 11, from t = 0.69115 to t = 0.75398 ==\n",
- ">Parameter t set to 0.753982365131.\n",
- "\n",
- "== Iteration : 12, from t = 0.75398 to t = 0.81681 ==\n",
- ">Parameter t set to 0.816814243793.\n",
- "\n",
- "== Iteration : 13, from t = 0.81681 to t = 0.87965 ==\n",
- ">Parameter t set to 0.879646122456.\n",
- "\n",
- "== Iteration : 14, from t = 0.87965 to t = 0.94248 ==\n",
- ">Parameter t set to 0.942478001118.\n",
- "\n",
- "== Iteration : 15, from t = 0.94248 to t = 1.00531 ==\n",
- ">Parameter t set to 1.00530982018.\n",
- "\n",
- "== Iteration : 16, from t = 1.0053 to t = 1.06814 ==\n",
- ">Parameter t set to 1.06814169884.\n",
- "\n",
- "== Iteration : 17, from t = 1.0681 to t = 1.13097 ==\n",
- ">Parameter t set to 1.1309735775.\n",
- "\n",
- "== Iteration : 18, from t = 1.131 to t = 1.19381 ==\n",
- ">Parameter t set to 1.19380545616.\n",
- "\n",
- "== Iteration : 19, from t = 1.1938 to t = 1.25664 ==\n",
- ">Parameter t set to 1.25663733482.\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=20, total= 27.0ms, mean= 1.3ms\n",
- " >dumped_scalar_field::apply ncalls=20, total= 40.9ms, mean= 2.0ms\n",
- "\n",
- "== Iteration : 20, from t = 1.2566 to t = 1.31947 ==\n",
- ">Parameter t set to 1.31946921349.\n",
- "\n",
- "== Iteration : 21, from t = 1.3195 to t = 1.38230 ==\n",
- ">Parameter t set to 1.38230109215.\n",
- "\n",
- "== Iteration : 22, from t = 1.3823 to t = 1.44513 ==\n",
- ">Parameter t set to 1.44513297081.\n",
- "\n",
- "== Iteration : 23, from t = 1.4451 to t = 1.50796 ==\n",
- ">Parameter t set to 1.50796484947.\n",
- "\n",
- "== Iteration : 24, from t = 1.508 to t = 1.57080 ==\n",
- ">Parameter t set to 1.57079672813.\n",
- "\n",
- "== Iteration : 25, from t = 1.5708 to t = 1.63363 ==\n",
- ">Parameter t set to 1.6336286068.\n",
- "\n",
- "== Iteration : 26, from t = 1.6336 to t = 1.69646 ==\n",
- ">Parameter t set to 1.69646048546.\n",
- "\n",
- "== Iteration : 27, from t = 1.6965 to t = 1.75929 ==\n",
- ">Parameter t set to 1.75929236412.\n",
- "\n",
- "== Iteration : 28, from t = 1.7593 to t = 1.82212 ==\n",
- ">Parameter t set to 1.82212424278.\n",
- "\n",
- "== Iteration : 29, from t = 1.8221 to t = 1.88496 ==\n",
- ">Parameter t set to 1.88495612144.\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=30, total= 38.1ms, mean= 1.3ms\n",
- " >dumped_scalar_field::apply ncalls=30, total= 56.3ms, mean= 1.9ms\n",
- "\n",
- "== Iteration : 30, from t = 1.885 to t = 1.94779 ==\n",
- ">Parameter t set to 1.94778800011.\n",
- "\n",
- "== Iteration : 31, from t = 1.9478 to t = 2.01062 ==\n",
- ">Parameter t set to 2.01061987877.\n",
- "\n",
- "== Iteration : 32, from t = 2.0106 to t = 2.07345 ==\n",
- ">Parameter t set to 2.07345175743.\n",
- "\n",
- "== Iteration : 33, from t = 2.0735 to t = 2.13628 ==\n",
- ">Parameter t set to 2.13628363609.\n",
- "\n",
- "== Iteration : 34, from t = 2.1363 to t = 2.19912 ==\n",
- ">Parameter t set to 2.19911551476.\n",
- "\n",
- "== Iteration : 35, from t = 2.1991 to t = 2.26195 ==\n",
- ">Parameter t set to 2.26194739342.\n",
- "\n",
- "== Iteration : 36, from t = 2.2619 to t = 2.32478 ==\n",
- ">Parameter t set to 2.32477927208.\n",
- "\n",
- "== Iteration : 37, from t = 2.3248 to t = 2.38761 ==\n",
- ">Parameter t set to 2.38761115074.\n",
- "\n",
- "== Iteration : 38, from t = 2.3876 to t = 2.45044 ==\n",
- ">Parameter t set to 2.4504430294.\n",
- "\n",
- "== Iteration : 39, from t = 2.4504 to t = 2.51327 ==\n",
- ">Parameter t set to 2.51327490807.\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=40, total= 49.1ms, mean= 1.2ms\n",
- " >dumped_scalar_field::apply ncalls=40, total= 71.7ms, mean= 1.8ms\n",
- "\n",
- "== Iteration : 40, from t = 2.5133 to t = 2.57611 ==\n",
- ">Parameter t set to 2.57610678673.\n",
- "\n",
- "== Iteration : 41, from t = 2.5761 to t = 2.63894 ==\n",
- ">Parameter t set to 2.63893866539.\n",
- "\n",
- "== Iteration : 42, from t = 2.6389 to t = 2.70177 ==\n",
- ">Parameter t set to 2.70177054405.\n",
- "\n",
- "== Iteration : 43, from t = 2.7018 to t = 2.76460 ==\n",
- ">Parameter t set to 2.76460242271.\n",
- "\n",
- "== Iteration : 44, from t = 2.7646 to t = 2.82743 ==\n",
- ">Parameter t set to 2.82743430138.\n",
- "\n",
- "== Iteration : 45, from t = 2.8274 to t = 2.89027 ==\n",
- ">Parameter t set to 2.89026618004.\n",
- "\n",
- "== Iteration : 46, from t = 2.8903 to t = 2.95310 ==\n",
- ">Parameter t set to 2.9530980587.\n",
- "\n",
- "== Iteration : 47, from t = 2.9531 to t = 3.01593 ==\n",
- ">Parameter t set to 3.01592993736.\n",
- "\n",
- "== Iteration : 48, from t = 3.0159 to t = 3.07876 ==\n",
- ">Parameter t set to 3.07876181602.\n",
- "\n",
- "== Iteration : 49, from t = 3.0788 to t = 3.14159 ==\n",
- ">Parameter t set to 3.14159369469.\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=50, total= 61.2ms, mean= 1.2ms\n",
- " >dumped_scalar_field::apply ncalls=50, total= 92.5ms, mean= 1.9ms\n",
- "\n",
- "== Iteration : 50, from t = 3.1416 to t = 3.20443 ==\n",
- ">Parameter t set to 3.20442557335.\n",
- "\n",
- "== Iteration : 51, from t = 3.2044 to t = 3.26726 ==\n",
- ">Parameter t set to 3.26725745201.\n",
- "\n",
- "== Iteration : 52, from t = 3.2673 to t = 3.33009 ==\n",
- ">Parameter t set to 3.33008933067.\n",
- "\n",
- "== Iteration : 53, from t = 3.3301 to t = 3.39292 ==\n",
- ">Parameter t set to 3.39292120934.\n",
- "\n",
- "== Iteration : 54, from t = 3.3929 to t = 3.45575 ==\n",
- ">Parameter t set to 3.455753088.\n",
- "\n",
- "== Iteration : 55, from t = 3.4558 to t = 3.51858 ==\n",
- ">Parameter t set to 3.51858496666.\n",
- "\n",
- "== Iteration : 56, from t = 3.5186 to t = 3.58142 ==\n",
- ">Parameter t set to 3.58141684532.\n",
- "\n",
- "== Iteration : 57, from t = 3.5814 to t = 3.64425 ==\n",
- ">Parameter t set to 3.64424872398.\n",
- "\n",
- "== Iteration : 58, from t = 3.6442 to t = 3.70708 ==\n",
- ">Parameter t set to 3.70708060265.\n",
- "\n",
- "== Iteration : 59, from t = 3.7071 to t = 3.76991 ==\n",
- ">Parameter t set to 3.76991248131.\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=60, total= 74.6ms, mean= 1.2ms\n",
- " >dumped_scalar_field::apply ncalls=60, total=112.4ms, mean= 1.9ms\n",
- "\n",
- "== Iteration : 60, from t = 3.7699 to t = 3.83274 ==\n",
- ">Parameter t set to 3.83274435997.\n",
- "\n",
- "== Iteration : 61, from t = 3.8327 to t = 3.89558 ==\n",
- ">Parameter t set to 3.89557623863.\n",
- "\n",
- "== Iteration : 62, from t = 3.8956 to t = 3.95841 ==\n",
- ">Parameter t set to 3.95840811729.\n",
- "\n",
- "== Iteration : 63, from t = 3.9584 to t = 4.02124 ==\n",
- ">Parameter t set to 4.02123975754.\n",
- "\n",
- "== Iteration : 64, from t = 4.0212 to t = 4.08407 ==\n",
- ">Parameter t set to 4.0840716362.\n",
- "\n",
- "== Iteration : 65, from t = 4.0841 to t = 4.14690 ==\n",
- ">Parameter t set to 4.14690351486.\n",
- "\n",
- "== Iteration : 66, from t = 4.1469 to t = 4.20974 ==\n",
- ">Parameter t set to 4.20973539352.\n",
- "\n",
- "== Iteration : 67, from t = 4.2097 to t = 4.27257 ==\n",
- ">Parameter t set to 4.27256727219.\n",
- "\n",
- "== Iteration : 68, from t = 4.2726 to t = 4.33540 ==\n",
- ">Parameter t set to 4.33539915085.\n",
- "\n",
- "== Iteration : 69, from t = 4.3354 to t = 4.39823 ==\n",
- ">Parameter t set to 4.39823102951.\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=70, total= 86.8ms, mean= 1.2ms\n",
- " >dumped_scalar_field::apply ncalls=70, total=129.8ms, mean= 1.9ms\n",
- "\n",
- "== Iteration : 70, from t = 4.3982 to t = 4.46106 ==\n",
- ">Parameter t set to 4.46106290817.\n",
- "\n",
- "== Iteration : 71, from t = 4.4611 to t = 4.52389 ==\n",
- ">Parameter t set to 4.52389478683.\n",
- "\n",
- "== Iteration : 72, from t = 4.5239 to t = 4.58673 ==\n",
- ">Parameter t set to 4.5867266655.\n",
- "\n",
- "== Iteration : 73, from t = 4.5867 to t = 4.64956 ==\n",
- ">Parameter t set to 4.64955854416.\n",
- "\n",
- "== Iteration : 74, from t = 4.6496 to t = 4.71239 ==\n",
- ">Parameter t set to 4.71239042282.\n",
- "\n",
- "== Iteration : 75, from t = 4.7124 to t = 4.77522 ==\n",
- ">Parameter t set to 4.77522230148.\n",
- "\n",
- "== Iteration : 76, from t = 4.7752 to t = 4.83805 ==\n",
- ">Parameter t set to 4.83805418015.\n",
- "\n",
- "== Iteration : 77, from t = 4.8381 to t = 4.90089 ==\n",
- ">Parameter t set to 4.90088605881.\n",
- "\n",
- "== Iteration : 78, from t = 4.9009 to t = 4.96372 ==\n",
- ">Parameter t set to 4.96371793747.\n",
- "\n",
- "== Iteration : 79, from t = 4.9637 to t = 5.02655 ==\n",
- ">Parameter t set to 5.02654981613.\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=80, total= 99.3ms, mean= 1.2ms\n",
- " >dumped_scalar_field::apply ncalls=80, total=147.0ms, mean= 1.8ms\n",
- "\n",
- "== Iteration : 80, from t = 5.0265 to t = 5.08938 ==\n",
- ">Parameter t set to 5.08938169479.\n",
- "\n",
- "== Iteration : 81, from t = 5.0894 to t = 5.15221 ==\n",
- ">Parameter t set to 5.15221357346.\n",
- "\n",
- "== Iteration : 82, from t = 5.1522 to t = 5.21505 ==\n",
- ">Parameter t set to 5.21504545212.\n",
- "\n",
- "== Iteration : 83, from t = 5.215 to t = 5.27788 ==\n",
- ">Parameter t set to 5.27787733078.\n",
- "\n",
- "== Iteration : 84, from t = 5.2779 to t = 5.34071 ==\n",
- ">Parameter t set to 5.34070920944.\n",
- "\n",
- "== Iteration : 85, from t = 5.3407 to t = 5.40354 ==\n",
- ">Parameter t set to 5.4035410881.\n",
- "\n",
- "== Iteration : 86, from t = 5.4035 to t = 5.46637 ==\n",
- ">Parameter t set to 5.46637296677.\n",
- "\n",
- "== Iteration : 87, from t = 5.4664 to t = 5.52920 ==\n",
- ">Parameter t set to 5.52920484543.\n",
- "\n",
- "== Iteration : 88, from t = 5.5292 to t = 5.59204 ==\n",
- ">Parameter t set to 5.59203672409.\n",
- "\n",
- "== Iteration : 89, from t = 5.592 to t = 5.65487 ==\n",
- ">Parameter t set to 5.65486860275.\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=90, total=111.3ms, mean= 1.2ms\n",
- " >dumped_scalar_field::apply ncalls=90, total=167.6ms, mean= 1.9ms\n",
- "\n",
- "== Iteration : 90, from t = 5.6549 to t = 5.71770 ==\n",
- ">Parameter t set to 5.71770048141.\n",
- "\n",
- "== Iteration : 91, from t = 5.7177 to t = 5.78053 ==\n",
- ">Parameter t set to 5.78053236008.\n",
- "\n",
- "== Iteration : 92, from t = 5.7805 to t = 5.84336 ==\n",
- ">Parameter t set to 5.84336423874.\n",
- "\n",
- "== Iteration : 93, from t = 5.8434 to t = 5.90620 ==\n",
- ">Parameter t set to 5.9061961174.\n",
- "\n",
- "== Iteration : 94, from t = 5.9062 to t = 5.96903 ==\n",
- ">Parameter t set to 5.96902799606.\n",
- "\n",
- "== Iteration : 95, from t = 5.969 to t = 6.03186 ==\n",
- ">Parameter t set to 6.03185987473.\n",
- "\n",
- "== Iteration : 96, from t = 6.0319 to t = 6.09469 ==\n",
- ">Parameter t set to 6.09469175339.\n",
- "\n",
- "== Iteration : 97, from t = 6.0947 to t = 6.15752 ==\n",
- ">Parameter t set to 6.15752363205.\n",
- "\n",
- "== Iteration : 98, from t = 6.1575 to t = 6.22036 ==\n",
- ">Parameter t set to 6.22035551071.\n",
- "\n",
- "*******************************************************************************\n",
- "** Next iteration is last iteration, clamping dt to achieve t=6.28318530718. **\n",
- "*******************************************************************************\n",
- ">Parameter dt set to 0.0628297964679.\n",
- "\n",
- "== Iteration : 99, from t = 6.2204 to t = 6.28319 ==\n",
- "\n",
- "*****************************************************\n",
- "** Simulation took 0:00:00 (0.348946s) **\n",
- "** for 100 iterations (0.00348946s per iteration) **\n",
- "*****************************************************\n",
- "\n",
- "\n",
- ">Problem profiler report\n",
- " >analytic::apply ncalls=100, total=122.9ms, mean= 1.2ms\n",
- " >dumped_scalar_field::apply ncalls=100, total=183.5ms, mean= 1.8ms\n",
- "Finalizing problem...\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"# Create a simulation and solve the problem \n",
"# (do not forget to specify the time parameter here)\n",
@@ -681,7 +241,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
- "version": "2.7.12"
+ "version": "2.7.15rc1"
}
},
"nbformat": 4,
--
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