FlightConditions

class FlightConditions

Bases: CommonBaseModel

Represents flight conditions for aerodynamic calculations.

loop_control

Loop Control: 1 - Altitude and Mach, 2 - Mach Only, 3 - Altitude Only.

Type:

Optional[int]

qty_machs

Number of Mach numbers.

Type:

Optional[int]

machs

Ascending order of Freestream Mach numbers.

Type:

List[Optional[float]]

velocities

Ascending order of Freestream Velocities.

Type:

List[Optional[float]]

qty_alphas

Number of angles-of-attack.

Type:

Optional[int]

alphas

Ascending order of angles-of-attack.

Type:

List[Optional[float]]

reynolds_indicies

Reynolds number per unit length at Freestream conditions.

Type:

List[Optional[float]]

qty_altitudes

Number of altitudes.

Type:

Optional[int]

altitudes

Geometric Altitudes.

Type:

List[Optional[float]]

static_pressures

Freestream static pressure.

Type:

List[Optional[float]]

static_temperatures

Freestream static temperature.

Type:

List[Optional[float]]

transonic_mach

Transonic Onset Mach number.

Type:

Optional[float]

supersonic_mach

Supersonic Onset Mach number.

Type:

Optional[float]

hypersonic_flag

Hypersonic flag: true - Hypersonic analysis at all Mach > 1.4.

Type:

Optional[bool]

transition_flag

Transition flag: 0 - None, 1 - Transition Strips or Full Flight.

Type:

Optional[bool]

weight

Aircraft Weight.

Type:

Optional[float]

flight_path_angle

Flight path Angle.

Type:

Optional[float]

Attributes Summary

model_config

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

Methods Summary

list_must_be_non_negative(v)	Validate that all list values are non-negative.
validate_list_lengths(values)	Validate that the length of lists matches their corresponding quantity fields.

Attributes Documentation

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'allow', 'protected_namespaces': (), 'validate_assignment': True}

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

Methods Documentation

classmethod list_must_be_non_negative(v)

Validate that all list values are non-negative.

Parameters:

v (List[Optional[float]]) – The list to validate.

Returns:

The validated list.

Return type:

List[Optional[float]]

Raises:

ValueError – If any value in the list is negative.

classmethod validate_list_lengths(values)

Validate that the length of lists matches their corresponding quantity fields.

Parameters:

values (dict) – The current values of the model.

Returns:

The validated values.

Return type:

dict

Raises:

ValueError – If the length of a list doesn’t match its corresponding quantity field.

Methods:

list_must_be_non_negative(v)	Validate that all list values are non-negative.
validate_list_lengths(values)	Validate that the length of lists matches their corresponding quantity fields.

Attributes:

__pydantic_setattr_handlers__

__setattr__ handlers.

classmethod list_must_be_non_negative(v)

Validate that all list values are non-negative.

Parameters:

v (List[Optional[float]]) – The list to validate.

Returns:

The validated list.

Return type:

List[Optional[float]]

Raises:

ValueError – If any value in the list is negative.

classmethod validate_list_lengths(values)

Validate that the length of lists matches their corresponding quantity fields.

Parameters:

values (dict) – The current values of the model.

Returns:

The validated values.

Return type:

dict

Raises:

ValueError – If the length of a list doesn’t match its corresponding quantity field.

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

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