Typing¶
typing
¶
Custom Typing Helpers.
This module centralizes type aliases used throughout the project and makes it easy to keep runtime imports lightweight while still providing precise type information. The goal is to express common shapes and dtypes once, so internal modules can share consistent, readable annotations without repeating NumPy typing boilerplate.
Examples:
>>> from flepimop2.typing import Float64NDArray
>>> Float64NDArray
numpy.ndarray[tuple[typing.Any, ...], numpy.dtype[numpy.float64]]
Float64NDArray = npt.NDArray[np.float64]
module-attribute
¶
Alias for a NumPy ndarray with float64 data type.
RaiseOnMissing = RaiseOnMissingType()
module-attribute
¶
Sentinel value indicating an error should be raised if a value is missing.
RaiseOnMissingType
¶
A sentinel type indicating an error should be raised if a value is missing.
__reduce__()
¶
Helper for pickling the RaiseOnMissingType singleton.
Returns:
| Type | Description |
|---|---|
Literal['RaiseOnMissing']
|
The string "RaiseOnMissing". |
Source code in src/flepimop2/typing.py
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__repr__()
¶
String representation of the RaiseOnMissingType.
Returns:
| Type | Description |
|---|---|
Literal['RaiseOnMissing']
|
The string "RaiseOnMissing". |
Source code in src/flepimop2/typing.py
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StateChangeEnum
¶
Bases: StrEnum
Enumeration of types of state changes in a system.
Examples:
>>> from flepimop2.typing import StateChangeEnum
>>> StateChangeEnum.DELTA
<StateChangeEnum.DELTA: 'delta'>
>>> StateChangeEnum.FLOW
<StateChangeEnum.FLOW: 'flow'>
DELTA = 'delta'
class-attribute
instance-attribute
¶
The state change is described directly by the changes in the state variables, i.e. \( x(t + \Delta t) = x(t) + \Delta x \).
FLOW = 'flow'
class-attribute
instance-attribute
¶
The state change is described directly by the flow rates, or derivatives, of the state variables. I.e. \( dx/dt = f(x, t) \).
STATE = 'state'
class-attribute
instance-attribute
¶
The state change is described directly by the new state values, i.e. \( x(t + \Delta t) = x_{new} \).