pymloc.model.variables.time_function

Classes

InputVariables(dimension[, time_domain])
OutputVariables(dimension[, time_domain])
StateVariables(dimension[, time_domain])
Time(t_0, t_f[, time_grid])	The time variable.
TimeVariables(dimension, time_domain)	Subclass for variables that depend on time.

class pymloc.model.variables.time_function.InputVariables(dimension, time_domain=[0.0, 1.0])

Bases: pymloc.model.variables.time_function.TimeVariables

class pymloc.model.variables.time_function.OutputVariables(dimension, time_domain=[0.0, 1.0])

Bases: pymloc.model.variables.time_function.TimeVariables

class pymloc.model.variables.time_function.StateVariables(dimension, time_domain=[0.0, 1.0])

Bases: pymloc.model.variables.time_function.TimeVariables

class pymloc.model.variables.time_function.Time(t_0, t_f, time_grid=None)

Bases: pymloc.model.variables.time_function.TimeVariables

The time variable.

Parameters

• t_0 (float) –

• t_f (float) –

• time_grid (Optional[numpy.ndarray]) –

add_to_grid(tp)

Adds a timepoint tp to the current grid.

Parameters

tp (float) –

at_bound(tau)

Tests whether tau is at the upper or lower bound of time_grid

Parameters

tau (float) –

Return type

bool

at_lower_bound(tau)

Tests whether tau is at the lower bound of time_grid

Parameters

tau (float) –

Return type

bool

at_upper_bound(tau)

Tests whether tau is at the upper bound of time_grid

Parameters

tau (float) –

Return type

bool

get_random_values()

Return type

float

property grid

class pymloc.model.variables.time_function.TimeVariables(dimension, time_domain)

Bases: pymloc.model.variables.variables.Variables, abc.ABC

Subclass for variables that depend on time.

Parameters

• dimension (int) –

• time_domain (numpy.ndarray) –

property current_time

property current_values

property shape

property time_domain