fix(python): added temporary patch to let python bindings work on mac

Mirroring what was done in fourdst (see fourdst/tree/v0.8.5) we have added a temporary patch to let python bindings work on mac while the meson-python folks resolve the duplicate rpath issue in the shared object file

validation/pynucastro/GridFireEquiv/evolve.py

@@ -1,46 +1,46 @@
-import numpy as np
-from scipy.integrate import solve_ivp
-
-import pp_chain_robust as network
-
-
-T = 1.5e7
-rho = 1.5e2  
-
-Y0 = np.zeros(network.nnuc)
-Y0[network.jp] = 0.702583  
-Y0[network.jhe3] = 9.74903e-6  
-Y0[network.jhe4] = 0.068963
-Y0[network.jc12] = 0.000250029
-Y0[network.jn14] = 7.85632e-5
-Y0[network.jo16] = 0.00060151
-Y0[network.jne20] = 8.10399e-5
-Y0[network.jmg24] = 2.15159e-5
-
-t_start = 0.0
-t_end = 3.14e17
-t_span = (t_start, t_end)
-
-sol = solve_ivp(
-    network.rhs,
-    t_span=t_span,
-    y0=Y0,
-    method='Radau',
-    jac=network.jacobian,
-    args=(rho, T),
-    dense_output=True,
-    rtol=1e-8,
-    atol=1e-8
-)
-
-
-with open("pynucastro_results.csv", 'w') as f:
-    f.write("t,h1,h2,he3,he4,c12,n14,o16,ne20,mg24\n")
-    for (t,h1,h2,he3,he4,c12,n14,o16,ne20,mg24) in zip(sol.t, sol.y[network.jp, :], sol.y[network.jd, :], sol.y[network.jhe3, :], sol.y[network.jhe4, :], sol.y[network.jc12, :], sol.y[network.jn14, :], sol.y[network.jo16, :], sol.y[network.jne20, :], sol.y[network.jmg24, :]):
-        f.write(f"{t},{h1},{h2},{he3},{he4},{c12},{n14},{o16},{ne20},{mg24}\n")
+# import numpy as np
+# from scipy.integrate import solve_ivp
+#
+# import pp_chain_robust as network
+#
+#
+# T = 1e7
+# rho = 1.5e2
+#
+# Y0 = np.zeros(network.nnuc)
+# Y0[network.jp] = 0.702583
+# Y0[network.jhe3] = 9.74903e-6
+# Y0[network.jhe4] = 0.068963
+# Y0[network.jc12] = 0.000250029
+# Y0[network.jn14] = 7.85632e-5
+# Y0[network.jo16] = 0.00060151
+# Y0[network.jne20] = 8.10399e-5
+# Y0[network.jmg24] = 2.15159e-5
+#
+# t_start = 0.0
+# t_end = 3.14e17
+# t_span = (t_start, t_end)
+#
+# sol = solve_ivp(
+#     network.rhs,
+#     t_span=t_span,
+#     y0=Y0,
+#     method='Radau',
+#     jac=network.jacobian,
+#     args=(rho, T),
+#     dense_output=True,
+#     rtol=1e-8,
+#     atol=1e-8
+# )
+#
+#
+# with open("pynucastro_results.csv", 'w') as f:
+#     f.write("t,h1,h2,he3,he4,c12,n14,o16,ne20,mg24\n")
+#     for (t,h1,h2,he3,he4,c12,n14,o16,ne20,mg24) in zip(sol.t, sol.y[network.jp, :], sol.y[network.jd, :], sol.y[network.jhe3, :], sol.y[network.jhe4, :], sol.y[network.jc12, :], sol.y[network.jn14, :], sol.y[network.jo16, :], sol.y[network.jne20, :], sol.y[network.jmg24, :]):
+#         f.write(f"{t},{h1},{h2},{he3},{he4},{c12},{n14},{o16},{ne20},{mg24}\n")
 
 from gridfire.engine import GraphEngine, MultiscalePartitioningEngineView, AdaptiveEngineView
-from gridfire.solver import DirectNetworkSolver
+from gridfire.solver import CVODESolverStrategy
 from gridfire.type import NetIn
 
 from fourdst.composition import Composition
@@ -61,7 +61,7 @@ netIn = NetIn()
 netIn.composition = comp
 netIn.temperature = 1.5e7
 netIn.density = 1.6e2
-netIn.tMax = 3.14e17
+netIn.tMax = 3.14e16
 netIn.dt0 = 1e-12
 
 baseEngine = GraphEngine(netIn.composition, 2)
@@ -71,7 +71,7 @@ qseEngine = MultiscalePartitioningEngineView(baseEngine)
 
 adaptiveEngine = AdaptiveEngineView(qseEngine)
 
-solver = DirectNetworkSolver(adaptiveEngine)
+solver = CVODESolverStrategy(adaptiveEngine)
 
 data = []
 def callback(context):
@@ -98,10 +98,10 @@ def callback(context):
 
 
 solver.set_callback(callback)
-results = solver.evaluate(netIn)
+results = solver.evaluate(netIn, False)
 
-with open("gridfire_results.csv", 'w') as f:
-    f.write("t,h1,h2,he3,he4,c12,n14,o16,ne20,mg24\n")
-    for row in data:
-        rowStr = ','.join([str(x) for x in row])
-        f.write(f"{rowStr}\n")
+# with open("gridfire_results.csv", 'w') as f:
+#     f.write("t,h1,h2,he3,he4,c12,n14,o16,ne20,mg24\n")
+#     for row in data:
+#         rowStr = ','.join([str(x) for x in row])
+#         f.write(f"{rowStr}\n")

validation/pynucastro/GridFireEquiv/generate_proton_proton.py

@@ -1,7 +1,6 @@
 import pynucastro as pyna
 
 from gridfire.engine import GraphEngine, MultiscalePartitioningEngineView, AdaptiveEngineView
-from gridfire.solver import DirectNetworkSolver
 from gridfire.type import NetIn
 
 from fourdst.composition import Composition
@@ -19,7 +18,7 @@ print(f"Initial H-1 mass fraction {comp.getMassFraction("H-1")}")
 
 netIn = NetIn()
 netIn.composition = comp
-netIn.temperature = 1.5e7
+netIn.temperature = 1e7
 netIn.density = 1.6e2
 netIn.tMax = 1e-9
 netIn.dt0 = 1e-12