Remove semantikon_class condition

[samwaseda]

It's basically the same as this PR, but you don't need to use semantikon_class anymore, but you have to use dataclass. For example:

@dataclass
class Input:
    T: u(float, units="kelvin")
    n: int
    class parameter:
        a: int = 1

@dataclass
class Output:
    E: u(float, units="electron_volt")
    L: u(float, units="angstrom")

@Workflow.wrap.as_function_node
def run_md(inp: Input) -> Output:
    out = Output(E=1., L=2.)
    return out

inp = Input(T=300., n=3)

wf = Workflow("my_wf")
wf.node = run_md(inp)
wf.run()

In this case, inp.T and inp.n as well as out.E and out.L will have their values stored, while inp.parameter.a not, because there is no dataclass applied to it

[github-actions]

👈 Launch a binder notebook on branch pyiron/pyiron_ontology/semantikon_class

[codacy-production]

Coverage summary from Codacy

See diff coverage on Codacy

Coverage variation	Diff coverage
✅ -0.01% (target: -1.00%)	✅ 100.00%

Coverage variation details

	Coverable lines	Covered lines	Coverage
Common ancestor commit (c5e1267)	611	562	91.98%
Head commit (4235026)	610 (-1)	561 (-1)	91.97% (-0.01%)

Coverage variation is the difference between the coverage for the head and common ancestor commits of the pull request branch: <coverage of head commit> - <coverage of common ancestor commit>

Diff coverage details

	Coverable lines	Covered lines	Diff coverage
Pull request (#115)	3	3	100.00%

Diff coverage is the percentage of lines that are covered by tests out of the coverable lines that the pull request added or modified: <covered lines added or modified>/<coverable lines added or modified> * 100%

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