Code Generation#

Python code generation#

pyrometheus.codegen.python.gen_thermochem_code(sol: Solution) → str#: For the mechanism given by sol, return Python source code for a class conforming to a module containing a class called Thermochemistry adhering to the Thermochemistry interface.

pyrometheus.codegen.python.get_thermochem_class(sol: Solution)#: For the mechanism given by sol, return a class conforming to the Thermochemistry interface.

Interface of the Generated Per-Mechanism Code#

class pyrometheus.thermochem_example.Thermochemistry(usr_np=<module 'numpy' from '/home/docs/checkouts/readthedocs.org/user_builds/pyrometheus/envs/latest/lib/python3.10/site-packages/numpy/__init__.py'>)#

model_name#

num_elements#

num_species#

num_reactions#

num_falloff#

one_atm#: Returns 1 atm in SI units of pressure (Pa).

gas_constant#

species_names#

species_indices#

get_specific_gas_constant(mass_fractions)#

get_density(p, temperature, mass_fractions)#

get_pressure(rho, temperature, mass_fractions)#

get_mix_molecular_weight(mass_fractions)#

get_concentrations(rho, mass_fractions)#

get_mixture_specific_heat_cp_mass(temperature, mass_fractions)#

get_mixture_specific_heat_cv_mass(temperature, mass_fractions)#

get_mixture_enthalpy_mass(temperature, mass_fractions)#

get_mixture_internal_energy_mass(temperature, mass_fractions)#

get_species_specific_heats_r(temperature)#

get_species_enthalpies_rt(temperature)#

get_species_entropies_r(temperature)#

get_species_gibbs_rt(temperature)#

get_equilibrium_constants(temperature)#

get_temperature(enthalpy_or_energy, t_guess, y, do_energy=False)#

__init__(usr_np=<module 'numpy' from '/home/docs/checkouts/readthedocs.org/user_builds/pyrometheus/envs/latest/lib/python3.10/site-packages/numpy/__init__.py'>)#

Initialize thermochemistry object for a mechanism.

Parameters:

usr_np –

numpy-like namespace providing at least the following functions, for any array X of the bulk array type:

usr_np.log(X) (like numpy.log)
usr_np.log10(X) (like numpy.log10)
usr_np.exp(X) (like numpy.exp)
usr_np.where(X > 0, X_yes, X_no) (like numpy.where())
usr_np.linalg.norm(X, np.inf) (like numpy.linalg.norm())

where the “bulk array type” is a type that offers arithmetic analogous to numpy.ndarray and is used to hold all types of (potentialy volumetric) “bulk data”, such as temperature, pressure, mass fractions, etc. This parameter defaults to actual numpy, so it can be ignored unless it is needed by the user (e.g. for purposes of GPU processing or automatic differentiation).

Canonical Names#

class cantera.composite.Solution#: See cantera.Solution.

class cantera._cantera.Reaction#: See cantera.Reaction.

class cantera._cantera.Arrhenius#: See cantera.Arrhenius.