++

pyphare/pyphare/pharesee/hierarchy/hierarchy.py

@@ -1,12 +1,13 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
 from .patch import Patch
 from .patchlevel import PatchLevel
 from ...core.box import Box
 from ...core import box as boxm
-from ...core.phare_utilities import refinement_ratio
 from ...core.phare_utilities import listify
-
-import numpy as np
-import matplotlib.pyplot as plt
+from ...core.phare_utilities import deep_copy
+from ...core.phare_utilities import refinement_ratio
 
 
 def format_timestamp(timestamp):
@@ -68,6 +69,10 @@ def __init__(
 
         self.update()
 
+    def __deepcopy__(self, memo):
+        no_copy_keys = ["data_files"]  # do not copy these things
+        return deep_copy(self, memo, no_copy_keys)
+
     def __getitem__(self, qty):
         return self.__dict__[qty]
 

pyphare/pyphare/pharesee/hierarchy/hierarchy_utils.py

@@ -1,11 +1,17 @@
-from .hierarchy import PatchHierarchy
-from .patchdata import FieldData
+from dataclasses import dataclass
+from copy import deepcopy
+import numpy as np
+
+from .hierarchy import PatchHierarchy, format_timestamp
+from .patchdata import FieldData, ParticleData
 from .patchlevel import PatchLevel
 from .patch import Patch
+from ...core.box import Box
+from ...core.gridlayout import GridLayout
 from ...core.phare_utilities import listify
 from ...core.phare_utilities import refinement_ratio
+from pyphare.pharesee import particles as mparticles
 
-import numpy as np
 
 field_qties = {
     "EM_B_x": "Bx",
@@ -552,9 +558,6 @@ def _compute_scalardiv(patch_datas, **kwargs):
     return tuple(pd_attrs)
 
 
-from dataclasses import dataclass
-
-
 @dataclass
 class EqualityReport:
     ok: bool
@@ -606,3 +609,46 @@ def hierarchy_compare(this, that):
                         return EqualityReport(False, msg)
 
     return EqualityReport(True, "OK")
+
+
+def single_patch_for_LO(hier, qties=None):
+    def _skip(qty):
+        return qties is not None and qty not in qties
+
+    cier = deepcopy(hier)
+    sim = hier.sim
+    layout = GridLayout(
+        Box(sim.origin, sim.cells), sim.origin, sim.dl, interp_order=sim.interp_order
+    )
+    p0 = Patch(patch_datas={}, patch_id="", layout=layout)
+    for t in cier.times():
+        cier.time_hier[format_timestamp(t)] = {0: cier.level(0, t)}
+        cier.level(0, t).patches = [deepcopy(p0)]
+        l0_pds = cier.level(0, t).patches[0].patch_datas
+        for k, v in hier.level(0, t).patches[0].patch_datas.items():
+            if _skip(k):
+                continue
+            if isinstance(v, FieldData):
+                l0_pds[k] = FieldData(
+                    layout, v.field_name, None, centering=v.centerings
+                )
+                l0_pds[k].dataset = np.zeros(l0_pds[k].size)
+
+            elif isinstance(v, ParticleData):
+                l0_pds[k] = deepcopy(v)
+            else:
+                raise RuntimeError("unexpected state")
+
+        for patch in hier.level(0, t).patches:
+            for k, v in patch.patch_datas.items():
+                if _skip(k):
+                    continue
+                if isinstance(v, FieldData):
+                    l0_pds[k][patch.box] = v[patch.box]
+                elif isinstance(v, ParticleData):
+                    l0_pds[k].dataset = mparticles.aggregate(
+                        [l0_pds[k].dataset, v.dataset]
+                    )
+                else:
+                    raise RuntimeError("unexpected state")
+    return cier

pyphare/pyphare/pharesee/hierarchy/patchdata.py

@@ -118,6 +118,9 @@ def __getitem__(self, box_or_slice):
             return self.dataset[box_or_slice]
         return self.select(box_or_slice)
 
+    def __setitem__(self, box_or_slice, val):
+        self.__getitem__(box_or_slice)[:] = val
+
     def __init__(self, layout, field_name, data, **kwargs):
         """
         :param layout: A GridLayout representing the domain on which data is defined

tests/simulator/test_init_from_restart.py

@@ -9,22 +9,26 @@
 from pyphare.core import phare_utilities as phut
 from pyphare.pharesee.hierarchy.fromh5 import get_all_available_quantities_from_h5
 from pyphare.pharesee.particles import single_patch_per_level_per_pop_from
-from pyphare.pharesee.hierarchy.hierarchy_utils import flat_finest_field
+from pyphare.pharesee.hierarchy.hierarchy_utils import (
+    flat_finest_field,
+    single_patch_for_LO,
+    hierarchy_compare,
+)
 
 from tests.simulator import SimulatorTest, test_restarts
 from tests.diagnostic import dump_all_diags
 
 timestep = 0.001
 time_step_nbr = 1
-first_mpi_size = 1
+first_mpi_size = 4
 ppc = 100
 cells = 200
 first_out = "phare_outputs/reinit/first"
 secnd_out = "phare_outputs/reinit/secnd"
-timestamps = [0]  # np.array([timestep * 2, timestep * 4])
+timestamps = [0]
 restart_idx = Z = 0
 simInitArgs = dict(
-    # largest_patch_size=100,
+    largest_patch_size=100,
     time_step_nbr=time_step_nbr,
     time_step=timestep,
     cells=cells,
@@ -63,20 +67,12 @@ def test_reinit(self):
         Simulator(sim).run().reset()
         datahier0 = get_all_available_quantities_from_h5(first_out, timestamps[0])
         datahier1 = get_all_available_quantities_from_h5(secnd_out, timestamps[0])
-
-        for k in "xyz":
-            a = flat_finest_field(datahier0, f"B{k}", timestamps[0], 0)
-            b = flat_finest_field(datahier1, f"B{k}", timestamps[0], 0)
-            phut.assert_fp_any_all_close(a, b)
-
-        def get_merged(hier):
-            return single_patch_per_level_per_pop_from(hier)
-
-        ds = [get_merged(datahier0), get_merged(datahier1)]
-        for key in ["alpha", "protons"]:
-            a, b = [d.level(0).patches[0].patch_datas[f"{key}_domain"] for d in ds]
-            self.assertGreater(a.size(), (cells - 1) * ppc)
-            self.assertEqual(a, b)
+        qties = ["protons_domain", "alpha_domain", "Bx", "By", "Bz"]
+        ds = [single_patch_for_LO(d, qties) for d in [datahier0, datahier1]]
+        eq = hierarchy_compare(*ds)
+        if not eq:
+            print(eq)
+        self.assertTrue(eq)
 
 
 def run_first_sim():