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-rwxr-xr-xPython/pywarpx/_libwarpx.py70
1 files changed, 70 insertions, 0 deletions
diff --git a/Python/pywarpx/_libwarpx.py b/Python/pywarpx/_libwarpx.py
index 44426d624..c2c3a774b 100755
--- a/Python/pywarpx/_libwarpx.py
+++ b/Python/pywarpx/_libwarpx.py
@@ -206,6 +206,8 @@ class LibWarpX():
self.libwarpx_so.warpx_getChargeDensityFPLoVects.restype = _LP_c_int
self.libwarpx_so.warpx_getPhiFP.restype = _LP_LP_c_real
self.libwarpx_so.warpx_getPhiFPLoVects.restype = _LP_c_int
+ self.libwarpx_so.warpx_getVectorPotentialFP.restype = _LP_LP_c_real
+ self.libwarpx_so.warpx_getVectorPotentialFPLoVects.restype = _LP_c_int
self.libwarpx_so.warpx_getFfieldCP.restype = _LP_LP_c_real
self.libwarpx_so.warpx_getFfieldCPLoVects.restype = _LP_c_int
self.libwarpx_so.warpx_getFfieldFP.restype = _LP_LP_c_real
@@ -242,6 +244,9 @@ class LibWarpX():
self.libwarpx_so.warpx_getJx_nodal_flag.restype = _LP_c_int
self.libwarpx_so.warpx_getJy_nodal_flag.restype = _LP_c_int
self.libwarpx_so.warpx_getJz_nodal_flag.restype = _LP_c_int
+ self.libwarpx_so.warpx_getAx_nodal_flag.restype = _LP_c_int
+ self.libwarpx_so.warpx_getAy_nodal_flag.restype = _LP_c_int
+ self.libwarpx_so.warpx_getAz_nodal_flag.restype = _LP_c_int
self.libwarpx_so.warpx_getRho_nodal_flag.restype = _LP_c_int
self.libwarpx_so.warpx_getPhi_nodal_flag.restype = _LP_c_int
self.libwarpx_so.warpx_getF_nodal_flag.restype = _LP_c_int
@@ -1462,6 +1467,32 @@ class LibWarpX():
return self._get_mesh_field_list(self.libwarpx_so.warpx_getBfieldFP, level, direction, include_ghosts)
+ def get_mesh_vector_potential_fp(self, level, direction, include_ghosts=True):
+ '''
+
+ This returns a list of numpy arrays containing the mesh vector potential
+ data on each grid for this process. This version returns the field on
+ the fine patch for the given level.
+
+ The data for the numpy arrays are not copied, but share the underlying
+ memory buffer with WarpX. The numpy arrays are fully writeable.
+
+ Parameters
+ ----------
+
+ level : the AMR level to get the data for
+ direction : the component of the data you want
+ include_ghosts : whether to include ghost zones or not
+
+ Returns
+ -------
+
+ A List of numpy arrays.
+
+ '''
+
+ return self._get_mesh_field_list(self.libwarpx_so.warpx_getVectorPotentialFP, level, direction, include_ghosts)
+
def get_mesh_magnetic_field_cp_pml(self, level, direction, include_ghosts=True):
'''
@@ -2199,6 +2230,27 @@ class LibWarpX():
'''
return self._get_mesh_array_lovects(level, direction, include_ghosts, self.libwarpx_so.warpx_getBfieldFPLoVects)
+ def get_mesh_vector_potential_fp_lovects(self, level, direction, include_ghosts=True):
+ '''
+
+ This returns a list of the lo vectors of the arrays containing the mesh vector potential field
+ data on each grid for this process.
+
+ Parameters
+ ----------
+
+ level : the AMR level to get the data for
+ direction : the component of the data you want
+ include_ghosts : whether to include ghost zones or not
+
+ Returns
+ -------
+
+ A 2d numpy array of the lo vector for each grid with the shape (dims, number of grids)
+
+ '''
+ return self._get_mesh_array_lovects(level, direction, include_ghosts, self.libwarpx_so.warpx_getVectorPotentialFPLoVects)
+
def get_mesh_magnetic_field_cp_lovects_pml(self, level, direction, include_ghosts=True):
'''
@@ -2700,6 +2752,24 @@ class LibWarpX():
'''
return self._get_nodal_flag(self.libwarpx_so.warpx_getJz_nodal_flag)
+ def get_Ax_nodal_flag(self):
+ '''
+ This returns a 1d array of the nodal flags for Ax along each direction. A 1 means node centered, and 0 cell centered.
+ '''
+ return self._get_nodal_flag(self.libwarpx_so.warpx_getAx_nodal_flag)
+
+ def get_Ay_nodal_flag(self):
+ '''
+ This returns a 1d array of the nodal flags for Ay along each direction. A 1 means node centered, and 0 cell centered.
+ '''
+ return self._get_nodal_flag(self.libwarpx_so.warpx_getAy_nodal_flag)
+
+ def get_Az_nodal_flag(self):
+ '''
+ This returns a 1d array of the nodal flags for Az along each direction. A 1 means node centered, and 0 cell centered.
+ '''
+ return self._get_nodal_flag(self.libwarpx_so.warpx_getAz_nodal_flag)
+
def get_Rho_nodal_flag(self):
'''
This returns a 1d array of the nodal flags for Rho along each direction. A 1 means node centered, and 0 cell centered.