[samples] Replace show_solution by show

Cantera · Feb 28, 2023 · aacc987 · aacc987
1 parent 95cf8c7
commit aacc987
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Showing 10 changed files with 18 additions and 18 deletions.
diff --git a/samples/python/onedim/adiabatic_flame.py b/samples/python/onedim/adiabatic_flame.py
@@ -26,7 +26,7 @@
 # Set up flame object
 f = ct.FreeFlame(gas, width=width)
 f.set_refine_criteria(ratio=3, slope=0.06, curve=0.12)
-f.show_solution()
+f.show()
 
 # Solve with mixture-averaged transport model
 f.transport_model = 'Mix'
@@ -41,13 +41,13 @@
 # Solve with the energy equation enabled
 f.save(output, name="mix", description="solution with mixture-averaged transport")
 
-f.show_solution()
+f.show()
 print(f"mixture-averaged flamespeed = {f.velocity[0]:7f} m/s")
 
 # Solve with multi-component transport properties
 f.transport_model = 'Multi'
 f.solve(loglevel)  # don't use 'auto' on subsequent solves
-f.show_solution()
+f.show()
 print(f"multicomponent flamespeed = {f.velocity[0]:7f} m/s")
 f.save(output, name="multi", description="solution with multicomponent transport")
 

diff --git a/samples/python/onedim/burner_flame.py b/samples/python/onedim/burner_flame.py
@@ -22,7 +22,7 @@
 f = ct.BurnerFlame(gas, width=width)
 f.burner.mdot = mdot
 f.set_refine_criteria(ratio=3.0, slope=0.05, curve=0.1)
-f.show_solution()
+f.show()
 
 f.transport_model = 'Mix'
 f.solve(loglevel, auto=True)
@@ -37,7 +37,7 @@
 
 f.transport_model = 'Multi'
 f.solve(loglevel)  # don't use 'auto' on subsequent solves
-f.show_solution()
+f.show()
 f.save(output, name="multi", description="solution with multicomponent transport")
 
 f.write_csv('burner_flame.csv', quiet=False)
diff --git a/samples/python/onedim/diffusion_flame.py b/samples/python/onedim/diffusion_flame.py
@@ -53,7 +53,7 @@
 
 # Solve the problem
 f.solve(loglevel, auto=True)
-f.show_solution()
+f.show()
 
 if "native" in ct.hdf_support():
     output = Path() / "diffusion_flame.h5"
@@ -78,7 +78,7 @@
 # Turn on radiation and solve again
 f.radiation_enabled = True
 f.solve(loglevel=1, refine_grid=False)
-f.show_solution()
+f.show()
 
 # Plot Temperature with radiation
 plt.plot(f.flame.grid, f.T, label='Temperature with radiation')

diff --git a/samples/python/onedim/flame_fixed_T.py b/samples/python/onedim/flame_fixed_T.py
@@ -51,7 +51,7 @@
 f.flame.set_fixed_temp_profile(zloc, tvalues)
 
 # show the initial estimate for the solution
-f.show_solution()
+f.show()
 
 # don't solve the energy equation
 f.energy_enabled = False

diff --git a/samples/python/onedim/ion_burner_flame.py b/samples/python/onedim/ion_burner_flame.py
@@ -22,7 +22,7 @@
 f = ct.IonBurnerFlame(gas, width=width)
 f.burner.mdot = mdot
 f.set_refine_criteria(ratio=3.0, slope=0.05, curve=0.1)
-f.show_solution()
+f.show()
 
 f.transport_model = 'Ion'
 f.solve(loglevel, auto=True)

diff --git a/samples/python/onedim/ion_free_flame.py b/samples/python/onedim/ion_free_flame.py
@@ -24,7 +24,7 @@
 # Set up flame object
 f = ct.IonFreeFlame(gas, width=width)
 f.set_refine_criteria(ratio=3, slope=0.05, curve=0.1)
-f.show_solution()
+f.show()
 
 # stage one
 f.solve(loglevel=loglevel, auto=True)
@@ -40,7 +40,7 @@
 
 f.save(output, name="ion", description="solution with ionized gas transport")
 
-f.show_solution()
+f.show()
 print(f"mixture-averaged flamespeed = {f.velocity[0]:7f} m/s")
 
 # write the velocity, temperature, density, and mole fractions to a CSV file

diff --git a/samples/python/onedim/premixed_counterflow_flame.py b/samples/python/onedim/premixed_counterflow_flame.py
@@ -40,7 +40,7 @@
 sim.products.mdot = mdot_products
 
 sim.set_initial_guess()  # assume adiabatic equilibrium products
-sim.show_solution()
+sim.show()
 
 sim.solve(loglevel, auto=True)
 
@@ -55,4 +55,4 @@
 # write the velocity, temperature, and mole fractions to a CSV file
 sim.write_csv("premixed_counterflow_flame.csv", quiet=False)
 sim.show_stats()
-sim.show_solution()
+sim.show()
diff --git a/samples/python/onedim/premixed_counterflow_twin_flame.py b/samples/python/onedim/premixed_counterflow_twin_flame.py
@@ -68,7 +68,7 @@ def solveOpposedFlame(oppFlame, massFlux=0.12, loglevel=1,
     oppFlame.reactants.mdot = massFlux
     oppFlame.set_refine_criteria(ratio=ratio, slope=slope, curve=curve, prune=prune)
 
-    oppFlame.show_solution()
+    oppFlame.show()
     oppFlame.solve(loglevel, auto=True)
 
     # Compute the strain rate, just before the flame. This is not necessarily

diff --git a/samples/python/onedim/stagnation_flame.py b/samples/python/onedim/stagnation_flame.py
@@ -66,7 +66,7 @@
 sim.set_refine_criteria(ratio=ratio, slope=slope, curve=curve, prune=prune)
 
 sim.set_initial_guess(products='equil')  # assume adiabatic equilibrium products
-sim.show_solution()
+sim.show()
 
 sim.solve(loglevel, auto=True)
 

diff --git a/samples/python/surface_chemistry/catalytic_combustion.py b/samples/python/surface_chemistry/catalytic_combustion.py
@@ -69,7 +69,7 @@
 sim.surface.T = tsurf
 
 # Show the initial solution estimate
-sim.show_solution()
+sim.show()
 
 # Solving problems with stiff chemistry coupled to flow can require a
 # sequential approach where solutions are first obtained for simpler problems
@@ -94,7 +94,7 @@
     sim.solve(loglevel)
 
 # At this point, we should have the solution for the hydrogen/air problem.
-sim.show_solution()
+sim.show()
 
 # Now switch the inlet to the methane/air composition.
 sim.inlet.X = comp2
@@ -106,7 +106,7 @@
 sim.solve(loglevel)
 
 # show the solution
-sim.show_solution()
+sim.show()
 
 # save the full solution. The 'restore' method can be used to restart
 # a simulation from a solution stored in this form.