zfit typing#
- zfit.util.ztyping.LowerTypeInput = tensorflow.python.framework.tensor.Tensor | numpy.ndarray | tuple[float] | list[float] | float#
- zfit.util.ztyping.LowerTypeReturn = numpy.ndarray | tensorflow.python.framework.tensor.Tensor | None | bool#
- zfit.util.ztyping.UpperTypeInput = tensorflow.python.framework.tensor.Tensor | numpy.ndarray | tuple[float] | list[float] | float#
- zfit.util.ztyping.UpperTypeReturn = numpy.ndarray | tensorflow.python.framework.tensor.Tensor | None | bool#
- zfit.util.ztyping.LowerRectTypeInput = tensorflow.python.framework.tensor.Tensor | numpy.ndarray | collections.abc.Iterable[float] | float#
- zfit.util.ztyping.LowerRectTypeReturn = numpy.ndarray | tensorflow.python.framework.tensor.Tensor | None | bool#
- zfit.util.ztyping.UpperRectTypeInput = tensorflow.python.framework.tensor.Tensor | numpy.ndarray | tuple[float] | list[float] | float#
- zfit.util.ztyping.UpperRectTypeReturn = numpy.ndarray | tensorflow.python.framework.tensor.Tensor | None | bool#
- zfit.util.ztyping.RectLowerReturnType = numpy.ndarray | tensorflow.python.framework.tensor.Tensor | float#
- zfit.util.ztyping.RectUpperReturnType = numpy.ndarray | tensorflow.python.framework.tensor.Tensor | float#
- zfit.util.ztyping.RectLimitsReturnType#
alias of
tuple[ndarray|Tensor|float,ndarray|Tensor|float]
- zfit.util.ztyping.RectLimitsInputType = tensorflow.python.framework.tensor.Tensor | numpy.ndarray | collections.abc.Iterable[float] | float | tuple[float] | list[float]#
- zfit.util.ztyping.LimitsTypeSimpleInput = tuple[float, float] | bool#
- zfit.util.ztyping.LimitsTypeInput#
alias of
zfit.interface.ZfitLimit|Tensor|ndarray|Iterable[float] |float|tuple[float] |list[float] |bool|None
- zfit.util.ztyping.LimitsTypeInputV1#
alias of
Iterable[int|float|ndarray|Tensor|TensorProtocol|bool|str|bytes|complex|tuple|list|generic] |int|float|ndarray|Tensor|TensorProtocol|bool|str|bytes|complex|tuple|list|generic|None
- zfit.util.ztyping.LimitsFuncTypeInput#
alias of
zfit.interface.ZfitLimit|Tensor|ndarray|Iterable[float] |float|tuple[float] |list[float] |bool|None|Callable
- zfit.util.ztyping.LimitsTypeReturn = tuple[numpy.ndarray, numpy.ndarray] | None | bool#
- zfit.util.ztyping.AxesTypeInput = int | collections.abc.Iterable[int]#
- zfit.util.ztyping.AxesTypeReturn = tuple[int] | None#
- zfit.util.ztyping.ObsTypeReturn = tuple[str, ...] | None#
- zfit.util.ztyping.SpaceType = 'zfit.Space'#
- zfit.util.ztyping.XType = float | tensorflow.python.framework.tensor.Tensor#
- zfit.util.ztyping.XTypeReturnNoData = numpy.ndarray | tensorflow.python.framework.tensor.Tensor#
- zfit.util.ztyping.NumericalTypeReturn = tensorflow.python.framework.tensor.Tensor | numpy.ndarray#
- zfit.util.ztyping.BinnedDataInputType = uhi.typing.plottable.PlottableHistogram | collections.abc.Iterable[uhi.typing.plottable.PlottableHistogram]#
- zfit.util.ztyping.ZfitBinnedDataInputType#
alias of
zfit.data.BinnedData|Iterable[zfit.data.BinnedData]
- zfit.util.ztyping.AnyDataInputType#
alias of
zfit.Data|Iterable[zfit.Data] |PlottableHistogram|Iterable[PlottableHistogram]
- zfit.util.ztyping.WeightsStrInputType = tensorflow.python.framework.tensor.Tensor | None | numpy.ndarray | str#
- zfit.util.ztyping.WeightsInputType = tensorflow.python.framework.tensor.Tensor | None | numpy.ndarray#
- zfit.util.ztyping.ModelsInputType#
alias of
zfit.interface.ZfitModel|Iterable[zfit.interface.ZfitModel]
- zfit.util.ztyping.BinnedPDFInputType#
alias of
zfit.interface.ZfitBinnedPDF|Iterable[zfit.interface.ZfitBinnedPDF]
- zfit.util.ztyping.BinnedHistPDFInputType#
alias of
zfit.interface.ZfitBinnedPDF|Iterable[zfit.interface.ZfitBinnedPDF] |PlottableHistogram|Iterable[PlottableHistogram]
- zfit.util.ztyping.FuncInputType#
alias of
zfit.interface.ZfitFunc|Iterable[zfit.interface.ZfitFunc]
- zfit.util.ztyping.NumericalScalarType#
alias of
int|float|complex|Tensor|zfit.interface.ZfitParameter
- zfit.util.ztyping.NumericalType#
alias of
int|float|ndarray|Tensor|zfit.interface.ZfitParameter
- zfit.util.ztyping.nSamplingTypeIn = int | tensorflow.python.framework.tensor.Tensor | str#
- zfit.util.ztyping.ConstraintsTypeInput#
alias of
Iterable[zfit.interface.ZfitConstraint|Callable] |zfit.interface.ZfitConstraint|Callable|None
- zfit.util.ztyping.ParamsTypeOpt = collections.abc.Iterable['zfit.interface.ZfitParameter'] | None#
- zfit.util.ztyping.ParamsNameOpt = str | list[str] | None#
- zfit.util.ztyping.ParamsOrNameType = collections.abc.Iterable['zfit.interface.ZfitParameter'] | None | collections.abc.Iterable[str]#
- class zfit.util.ztyping.ParameterType#
alias of TypeVar(‘ParameterType’, bound=
dict[str, zfit.interface.ZfitParameter])
- class zfit.util.ztyping.ParamTypeInput#
alias of TypeVar(‘ParamTypeInput’, zfit.interface.ZfitParameter, int | float | complex | ~tensorflow.python.framework.tensor.Tensor | zfit.interface.ZfitParameter)
- zfit.util.ztyping.ParamsTypeInput#
alias of
Mapping[str|zfit.interface.ZfitParameter,ParamTypeInput]
- zfit.util.ztyping.ExtendedInputType#
alias of
bool|ParamTypeInput|None
- zfit.util.ztyping.BaseObjectType#
alias of
zfit.interface.ZfitParameter|zfit.interface.ZfitFunction|zfit.interface.ZfitPDF
- zfit.util.ztyping.DependentsType#
- zfit.util.ztyping.CacherOrCachersType#
alias of
zfit.interface.ZfitGraphCachable|Iterable[zfit.interface.ZfitGraphCachable]
- zfit.util.ztyping.LimitsDictNoCoords = dict[tuple[int], 'zfit.interface.ZfitLimit'] | dict[tuple[str], 'zfit.interface.ZfitLimit']#
- zfit.util.ztyping.LimitsDictWithCoords#
alias of
dict[str,dict[tuple[int], zfit.interface.ZfitLimit] |dict[tuple[str], zfit.interface.ZfitLimit]]
- zfit.util.ztyping.OptionsInputType = collections.abc.Mapping[str, object] | None#
- zfit.util.ztyping.ConstraintsInputType#
alias of
zfit.interface.ZfitConstraint|Iterable[zfit.interface.ZfitConstraint] |None