def get_codec_progress() -> CodecProgress:
DatasetHeaderC_encode, DatasetHeaderC_decode = DatasetHeaderC
subjects_get_size, subjects_encode, subjects_decode = listCP(oneCP(SubjectC))
def get_size(x : 'BudgetaryConsistency') -> int:
return subjects_get_size(x.subjects)
def encode(worker : Worker, f : FileOut, x : 'BudgetaryConsistency') -> None:
DatasetHeaderC_encode(f, (x.name, x.alternatives))
subjects_encode(worker, f, x.subjects)
def decode(worker : Worker, f : FileIn) -> 'BudgetaryConsistency':
name, alts = DatasetHeaderC_decode(f)
subjects = subjects_decode(f)
return BudgetaryConsistency(name, alts, subjects)
return CodecProgress(get_size, encode, decode)
def get_codec_progress() -> CodecProgress:
DatasetHeaderC_encode, DatasetHeaderC_decode = DatasetHeaderC
subjects_size, subjects_encode, subjects_decode = listCP(oneCP(SubjectC))
intC_encode, intC_decode = intC
def get_size(x : 'TupleIntransMenus') -> int:
return subjects_size(x.subjects)
def encode(worker : Worker, f : FileOut, x : 'TupleIntransMenus') -> None:
DatasetHeaderC_encode(f, (x.name, x.alternatives))
subjects_encode(worker, f, x.subjects)
def decode(worker : Worker, f : FileIn) -> 'TupleIntransMenus':
ds = TupleIntransMenus(*DatasetHeaderC_decode(f))
ds.subjects = subjects_decode(worker, f)
return ds
return CodecProgress(get_size, encode, decode)
def get_codec_progress() -> CodecProgress:
DatasetHeaderC_encode, DatasetHeaderC_decode = DatasetHeaderC
subjects_get_size, subjects_encode, subjects_decode = listCP(oneCP(SubjectC))
def get_size(x : 'Budgetary') -> int:
return subjects_get_size(x.subjects)
def encode(worker : Worker, f : FileOut, x : 'Budgetary') -> None:
DatasetHeaderC_encode(f, (x.name, x.alternatives))
subjects_encode(worker, f, x.subjects)
def decode(worker : Worker, f : FileIn) -> 'Budgetary':
ds = Budgetary(*DatasetHeaderC_decode(f))
ds.subjects = subjects_decode(worker, f)
ds.update_nr_observations()
return ds
return CodecProgress(get_size, encode, decode)
def get_codec_progress() -> CodecProgress:
DatasetHeaderC_encode, DatasetHeaderC_decode = DatasetHeaderC
subjects_size, subjects_encode, subjects_decode = listCP(
oneCP(PackedSubjectC))
intC_encode, intC_decode = intC
def get_size(x: 'ExperimentalData') -> int:
return subjects_size(x.subjects)
def encode(worker: Worker, f: FileOut, x: 'ExperimentalData') -> None:
DatasetHeaderC_encode(f, (x.name, x.alternatives))
subjects_encode(worker, f, x.subjects)
intC_encode(f, x.observ_count)
def decode(worker: Worker, f: FileIn) -> 'ExperimentalData':
ds = ExperimentalData(*DatasetHeaderC_decode(f))
ds.subjects = subjects_decode(worker, f)
ds.observ_count = intC_decode(f)
return ds
return CodecProgress(get_size, encode, decode)
def get_codec_progress() -> CodecProgress:
DatasetHeaderC_encode, DatasetHeaderC_decode = DatasetHeaderC
subjects_size, subjects_encode, subjects_decode = listCP(
oneCP(SubjectC))
intC_encode, intC_decode = intC
def get_size(x: 'ConsistencyResult') -> int:
return subjects_size(x.subjects)
def encode(worker: Worker, f: FileOut, x: 'ConsistencyResult') -> None:
DatasetHeaderC_encode(f, (x.name, x.alternatives))
subjects_encode(worker, f, x.subjects)
intC_encode(f, x.max_cycle_length)
def decode(worker: Worker, f: FileIn) -> 'ConsistencyResult':
ds = ConsistencyResult(*DatasetHeaderC_decode(f))
ds.subjects = subjects_decode(worker, f)
ds.max_cycle_length = intC_decode(f)
return ds
return CodecProgress(get_size, encode, decode)
def get_codec_progress() -> CodecProgress:
subjects_encode: Callable[[Worker, FileOut, List[PackedResponse]],
None]
subjects_decode: Callable[[Worker, FileIn], List[PackedResponse]]
DatasetHeaderC_encode, DatasetHeaderC_decode = DatasetHeaderC
subjects_size, subjects_encode, subjects_decode = listCP(
oneCP(PackedResponseC))
intC_encode, intC_decode = intC
def get_size(x: 'EstimationResult') -> int:
return cast(int, subjects_size(x.subjects))
def encode(worker: Worker, f: FileOut, x: 'EstimationResult') -> None:
DatasetHeaderC_encode(f, (x.name, x.alternatives))
subjects_encode(worker, f, x.subjects)
def decode(worker: Worker, f: FileIn) -> 'EstimationResult':
ds = EstimationResult(*DatasetHeaderC_decode(f))
ds.subjects = subjects_decode(worker, f)
return ds
return CodecProgress(get_size, encode, decode)
