AerodynamicsData

class AerodynamicsData

Bases: CommonBaseModel

Attributes Summary

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Summary

check_list_lengths(values)	Validates that all lists have the same length to ensure consistency in experimental data points.
validate_non_negative(v)	Ensures that coefficient values are non-negative, where applicable.

Attributes Documentation

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'allow', 'json_schema_extra': {'example': {'ACLMC': 1.5, 'ACLMF': 1.5, 'ACLMH': 1.5, 'ACLMV': 1.5, 'ACLMW': 1.5, 'ALPLC': 1.0, 'ALPLF': 1.0, 'ALPLH': 1.0, 'ALPLV': 1.0, 'ALPLW': 1.0, 'ALPOC': 0.5, 'ALPOF': 0.5, 'ALPOH': 0.5, 'ALPOV': 0.5, 'ALPOW': 0.5, 'CDC': [0.001, 0.002, 0.003], 'CDF': [0.001, 0.002, 0.003], 'CDH': [0.001, 0.002, 0.003], 'CDV': [0.001, 0.002, 0.003], 'CDW': [0.001, 0.002, 0.003], 'CDWB': [0.001, 0.002, 0.003], 'CD_body': [0.001, 0.002, 0.003], 'CLAC': [0.1, 0.2, 0.3], 'CLAF': [0.1, 0.2, 0.3], 'CLAH': [0.1, 0.2, 0.3], 'CLAV': [0.1, 0.2, 0.3], 'CLAW': [0.1, 0.2, 0.3], 'CLAWB': [0.1, 0.2, 0.3], 'CLC': [0.1, 0.2, 0.3], 'CLF': [0.1, 0.2, 0.3], 'CLH': [0.1, 0.2, 0.3], 'CLMC': 0.8, 'CLMF': 0.8, 'CLMH': 0.8, 'CLMV': 0.8, 'CLMW': 0.8, 'CLV': [0.1, 0.2, 0.3], 'CLW': [0.1, 0.2, 0.3], 'CLWB': [0.1, 0.2, 0.3], 'CL_body': [0.1, 0.2, 0.3], 'CLalpha_body': [0.1, 0.2, 0.3], 'CMAC': [0.01, 0.02, 0.03], 'CMAF': [0.01, 0.02, 0.03], 'CMAH': [0.01, 0.02, 0.03], 'CMAV': [0.01, 0.02, 0.03], 'CMAW': [0.01, 0.02, 0.03], 'CMAWB': [0.01, 0.02, 0.03], 'CMC': [0.01, 0.02, 0.03], 'CMF': [0.01, 0.02, 0.03], 'CMH': [0.01, 0.02, 0.03], 'CMV': [0.01, 0.02, 0.03], 'CMW': [0.01, 0.02, 0.03], 'CMWB': [0.01, 0.02, 0.03], 'CM_body': [0.01, 0.02, 0.03], 'CMalpha_body': [0.01, 0.02, 0.03], 'DEODA': [0.1, 0.2, 0.3], 'EPSLON': [0.1, 0.2, 0.3], 'QHOQINF': [0.1, 0.2, 0.3]}}, 'protected_namespaces': (), 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Methods Documentation

classmethod check_list_lengths(values)

Validates that all lists have the same length to ensure consistency in experimental data points.

classmethod validate_non_negative(v)

Ensures that coefficient values are non-negative, where applicable.

Methods:

check_list_lengths(values)	Validates that all lists have the same length to ensure consistency in experimental data points.
validate_non_negative(v)	Ensures that coefficient values are non-negative, where applicable.

Attributes:

__pydantic_setattr_handlers__

__setattr__ handlers.

classmethod check_list_lengths(values)

Validates that all lists have the same length to ensure consistency in experimental data points.

classmethod validate_non_negative(v)

Ensures that coefficient values are non-negative, where applicable.

__pydantic_setattr_handlers__: ClassVar[Dict[str, Callable[[BaseModel, str, Any], None]]] = {}

__setattr__ handlers. Memoizing the handlers leads to a dramatic performance improvement in __setattr__