gemseo.problems.mdo.sobieski.disciplines module#

The disciplines of the Sobieski's SSBJ use case.

class SobieskiAerodynamics(dtype=DataType.FLOAT)[source]#

Bases: SobieskiDiscipline

Aerodynamics discipline for the Sobieski's SSBJ use case.

Initialize self. See help(type(self)) for accurate signature.

Parameters:

dtype (SobieskiBase.DataType) --

The data type for the NumPy arrays, either "float64" or "complex128".

By default it is set to "float64".

classmethod create_with_physical_naming(dtype=DataType.FLOAT)[source]#

Parameters:

dtype (DataType) --

The data type for the NumPy arrays, either "float64" or "complex128".

By default it is set to "float64".

Return type:

RemappingDiscipline

class SobieskiDiscipline(dtype=DataType.FLOAT)[source]#

Bases: Discipline

Abstract base discipline for the Sobieski's SSBJ use case.

Initialize self. See help(type(self)) for accurate signature.

Parameters:

dtype (SobieskiBase.DataType) --

The data type for the NumPy arrays, either "float64" or "complex128".

By default it is set to "float64".

classmethod create_with_physical_naming(dtype=DataType.FLOAT)[source]#

Parameters:

dtype (DataType) --

The data type for the NumPy arrays, either "float64" or "complex128".

By default it is set to "float64".

Return type:

RemappingDiscipline

GRAMMAR_DIRECTORY: ClassVar[str | Path] = PosixPath('/home/docs/checkouts/readthedocs.org/user_builds/gemseo/envs/stable/lib/python3.9/site-packages/gemseo/problems/mdo/sobieski/grammars')#: The directory in which to search for the grammar files if not the class one.

auto_detect_grammar_files: ClassVar[bool] = True#: Whether to find the grammar files automatically.

dtype: SobieskiBase.DataType#: The data type for the NumPy arrays.

sobieski_problem: SobieskiProblem#: The Sobieski's SSBJ use case defining the MDO problem, e.g. disciplines, constraints, design space and reference optimum.

class SobieskiMission(dtype=DataType.FLOAT, enable_delay=False)[source]#

Bases: SobieskiDiscipline

Mission discipline of the Sobieski's SSBJ use case.

Compute the range with the Breguet formula.

Initialize self. See help(type(self)) for accurate signature.

Parameters:

dtype (SobieskiBase.DataType) --
The data type for the NumPy arrays, either "float64" or "complex128".

By default it is set to "float64".
enable_delay (bool | float) --
If True, wait one second before computation. If a positive number, wait the corresponding number of seconds. If False, compute directly.

By default it is set to False.

classmethod create_with_physical_naming(dtype=DataType.FLOAT, enable_delay=False)[source]#

Parameters:

enable_delay (bool | float) --
If True, wait one second before computation. If a positive number, wait the corresponding number of seconds. If False, compute directly.

By default it is set to False.
dtype (SobieskiBase.DataType) --

By default it is set to "float64".

Return type:

RemappingDiscipline

enable_delay: bool | float#

If True, wait one second before computation.

If a positive number, wait the corresponding number of seconds. If False, compute directly.

class SobieskiPropulsion(dtype=DataType.FLOAT)[source]#

Bases: SobieskiDiscipline

Propulsion discipline of the Sobieski's SSBJ use case.

Initialize self. See help(type(self)) for accurate signature.

Parameters:

dtype (SobieskiBase.DataType) --

The data type for the NumPy arrays, either "float64" or "complex128".

By default it is set to "float64".

classmethod create_with_physical_naming(dtype=DataType.FLOAT)[source]#

Parameters:

dtype (DataType) --

The data type for the NumPy arrays, either "float64" or "complex128".

By default it is set to "float64".

Return type:

RemappingDiscipline

class SobieskiStructure(dtype=DataType.FLOAT)[source]#

Bases: SobieskiDiscipline

Structure discipline of the Sobieski's SSBJ use case.

Initialize self. See help(type(self)) for accurate signature.

Parameters:

dtype (SobieskiBase.DataType) --

The data type for the NumPy arrays, either "float64" or "complex128".

By default it is set to "float64".

classmethod create_with_physical_naming(dtype=DataType.FLOAT)[source]#

Parameters:

dtype (DataType) --

The data type for the NumPy arrays, either "float64" or "complex128".

By default it is set to "float64".

Return type:

RemappingDiscipline

create_disciplines(dtype=DataType.FLOAT)[source]#

Instantiate the structure, aerodynamics, propulsion and mission disciplines.

Parameters:

dtype (DataType) --

The NumPy type for data arrays, either "float64" or "complex128".

By default it is set to "float64".

Returns:

The structure, aerodynamics, propulsion and mission disciplines.

Return type:

list[SobieskiDiscipline]

create_disciplines_with_physical_naming(dtype=DataType.FLOAT)[source]#

Instantiate the structure, aerodynamics, propulsion and mission disciplines.

Use a physical naming for the input and output variables.

Parameters:

dtype (DataType) --

The NumPy type for data arrays, either "float64" or "complex128".

By default it is set to "float64".

Returns:

The structure, aerodynamics, propulsion and mission disciplines.

Return type:

list[RemappingDiscipline]