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Reducer aliases #284

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Reducer aliases #284

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alhom Sep 26, 2024
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alhom Sep 26, 2024
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Make the top-level reducers point to new format data first (even if t…
alhom Sep 26, 2024
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29 changes: 27 additions & 2 deletions pyVlsv/reduction.py
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Original file line number Diff line number Diff line change
Expand Up @@ -76,6 +76,10 @@ def sumv( variable ):
# Third dimension: components
return np.sum(np.array(variable),axis=0)

# This just returns the upstream variable for passing forwards under a new datareducer name
def Alias( variable ):
return variable[0]

def condition_matrix_array( condition, matrices ):
# This routine is still very slow due to for-loops
''' Repeats condition n times and forms an array of it
Expand Down Expand Up @@ -1209,10 +1213,31 @@ def makelambda(index):
v5reducers["vg_dxs"] = DataReducerVariable(["CellID"], vg_dx, "m", 3, latex=r"$\Delta{}\vec{r}$", latexunits=r"$\mathrm{m}$", useReader=True)
v5reducers["vg_reflevel"] = DataReducerVariable(["CellID"], vg_reflevel, "", 1, latex=r"reflevel", latexunits=r"", useReader=True)

v5reducers["vg_jacobian_b"] = DataReducerVariable(["vg_dbxvoldx","vg_dbxvoldy","vg_dbxvoldz","vg_dbyvoldx","vg_dbyvoldy","vg_dbyvoldz","vg_dbzvoldx","vg_dbzvoldy","vg_dbzvoldz"], TensorFromScalars, "T/m", 9, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_jacobian_bper"] = DataReducerVariable(["vg_dperbxvoldx","vg_dperbxvoldy","vg_dperbxvoldz","vg_dperbyvoldx","vg_dperbyvoldy","vg_dperbyvoldz","vg_dperbzvoldx","vg_dperbzvoldy","vg_dperbzvoldz"], TensorFromScalars, "T/m", 9, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_jacobian_b"] = DataReducerVariable(["vg_derivatives/vg_dbxvoldx","vg_derivatives/vg_dbxvoldy","vg_derivatives/vg_dbxvoldz","vg_derivatives/vg_dbyvoldx","vg_derivatives/vg_dbyvoldy","vg_derivatives/vg_dbyvoldz","vg_derivatives/vg_dbzvoldx","vg_derivatives/vg_dbzvoldy","vg_derivatives/vg_dbzvoldz"], TensorFromScalars, "T/m", 9, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_jacobian_bper"] = DataReducerVariable(["vg_derivatives/vg_dperbxvoldx","vg_derivatives/vg_dperbxvoldy","vg_derivatives/vg_dperbxvoldz","vg_derivatives/vg_dperbyvoldx","vg_derivatives/vg_dperbyvoldy","vg_derivatives/vg_dperbyvoldz","vg_derivatives/vg_dperbzvoldx","vg_derivatives/vg_dperbzvoldy","vg_derivatives/vg_dperbzvoldz"], TensorFromScalars, "T/m", 9, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_j"] = DataReducerVariable(["vg_jacobian_bper"], J, "A/m^2", 3, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")

# Not the most elegant alias setup - could refine to fetch upstream metadata
v5reducers["vg_derivatives/vg_dbxvoldx"] = DataReducerVariable(["vg_dbxvoldx"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dbyvoldx"] = DataReducerVariable(["vg_dbyvoldx"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dbzvoldx"] = DataReducerVariable(["vg_dbzvoldx"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dbxvoldy"] = DataReducerVariable(["vg_dbxvoldy"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dbyvoldy"] = DataReducerVariable(["vg_dbyvoldy"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dbzvoldy"] = DataReducerVariable(["vg_dbzvoldy"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dbxvoldz"] = DataReducerVariable(["vg_dbxvoldz"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dbyvoldz"] = DataReducerVariable(["vg_dbyvoldz"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dbzvoldz"] = DataReducerVariable(["vg_dbzvoldz"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")

v5reducers["vg_derivatives/vg_dperbxvoldx"] = DataReducerVariable(["vg_dperbxvoldx"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dperbyvoldx"] = DataReducerVariable(["vg_dperbyvoldx"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dperbzvoldx"] = DataReducerVariable(["vg_dperbzvoldx"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dperbxvoldy"] = DataReducerVariable(["vg_dperbxvoldy"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dperbyvoldy"] = DataReducerVariable(["vg_dperbyvoldy"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dperbzvoldy"] = DataReducerVariable(["vg_dperbzvoldy"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dperbxvoldz"] = DataReducerVariable(["vg_dperbxvoldz"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dperbyvoldz"] = DataReducerVariable(["vg_dperbyvoldz"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")
v5reducers["vg_derivatives/vg_dperbzvoldz"] = DataReducerVariable(["vg_dperbzvoldz"], Alias, "T/m", 1, latex=r"$\vec{J}$",latexunits=r"$\mathrm{A}\,\mathrm{m}^{-2}$")

#multipopv5reducers
multipopv5reducers = {}
multipopv5reducers["pop/vg_rhom"] = DataReducerVariable(["pop/vg_rho"], rhom, "kg/m3", 1, latex=r"$\rho_{m,\mathrm{REPLACEPOP}}$",latexunits=r"$\mathrm{kg}\,\mathrm{m}^{-3}$")
Expand Down
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