tensormakeasym

ens_calculator.tensormakeasym(source_parts: List[ENS_PART] | List[int] | List[str] | ENS_PART | int | str, scalar_1: ENS_VAR | str | int, scalar_2: ENS_VAR | str | int, scalar_3: ENS_VAR | str | int, scalar_4: ENS_VAR | str | int, scalar_5: ENS_VAR | str | int, scalar_6: ENS_VAR | str | int, scalar_7: ENS_VAR | str | int, scalar_8: ENS_VAR | str | int, scalar_9: ENS_VAR | str | int, output_varname: str | None = None) → ENS_VAR

Computes an asymmetric tensor variable from nine scalars. [The 9 tensor components order is TC11,TC12,TC13, TC21,TC22,TC23, TC31,TC32,TC33]

Args:

source_parts:

Any part(s) or a part number.

scalar_1:

A scalar variable for component T33.

scalar_2:

A scalar variable for component T33.

scalar_3:

A scalar variable for component T33.

scalar_4:

A scalar variable for component T33.

scalar_5:

A scalar variable for component T33.

scalar_6:

A scalar variable for component T33.

scalar_7:

A scalar variable for component T33.

scalar_8:

A scalar variable for component T33.

scalar_9:

A scalar variable for component T33.

output_varname:

The name of the newly created variable

Returns:

New ENS_VAR instance or None

Note:

See TensorMakeAsym() for function details.