How to use the pymars.sampling.InputIgnition function in pymars

)
        
        if reactants:
            for entry in reactants:
                assert reactants[entry] > 0, pre + entry + ' value needs to be a number > 0'
                assert entry in gas.species_names, (
                    pre + 'reactant not in model: ' + entry
                    )
        
        composition_type = case.get('composition-type', 'mole')
        assert composition_type in ['mole', 'mass'], pre + 'composition-type must be "mole" or "mass"'
        assert not (composition_type == 'mass' and equiv_ratio), (
            pre + 'composition-type: must be mole when specifying equivalence ratio'
            )
        
        inputs.append(InputIgnition(
            kind, temperature, pressure, end_time, 
            equiv_ratio, fuel, oxidizer, reactants, composition_type
        ))

    return inputs

from . import soln2cti
from .drgep import run_drgep
from .drg import run_drg
from .pfa import run_pfa
from .sensitivity_analysis import run_sa
from .tools import convert

#: Supported reduction methods
METHODS = ['DRG', 'DRGEP', 'PFA']

class ReductionInputs(NamedTuple):
    """Collects inputs for overall reduction process.
    """
    model: str
    error: float
    ignition_conditions: List[InputIgnition]
    psr_conditions: List[InputPSR]
    flame_conditions: List[InputLaminarFlame]
    method: str
    target_species: List[str]
    safe_species: List[str] = []
    sensitivity_analysis: bool = False
    upper_threshold: float = 0.1
    sensitivity_type: str = 'greedy'
    phase_name: str = ''


def parse_inputs(input_dict):
    """Parses and checks dictionary of inputs for consistency and correctness.

    Parameters
    ----------