pybind11 example plugin

class pydynotree.R2

distance(self: pydynotree.R2, arg0: numpy.ndarray[numpy.float64[2, 1]], arg1: numpy.ndarray[numpy.float64[2, 1]]) → float

distance_to_rectangle(self: pydynotree.R2, arg0: numpy.ndarray[numpy.float64[2, 1]], arg1: numpy.ndarray[numpy.float64[2, 1]], arg2: numpy.ndarray[numpy.float64[2, 1]]) → float

interpolate(self: pydynotree.R2, arg0: numpy.ndarray[numpy.float64[2, 1]], arg1: numpy.ndarray[numpy.float64[2, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[2, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.R2, arg0: numpy.ndarray[numpy.float64[2, 1], flags.writeable]) → None

set_bounds(self: pydynotree.R2, arg0: numpy.ndarray[numpy.float64[2, 1]], arg1: numpy.ndarray[numpy.float64[2, 1]]) → None

class pydynotree.R2SO2

distance(self: pydynotree.R2SO2, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: numpy.ndarray[numpy.float64[3, 1]]) → float

distance_to_rectangle(self: pydynotree.R2SO2, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: numpy.ndarray[numpy.float64[3, 1]], arg2: numpy.ndarray[numpy.float64[3, 1]]) → float

interpolate(self: pydynotree.R2SO2, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: numpy.ndarray[numpy.float64[3, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[3, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.R2SO2, arg0: numpy.ndarray[numpy.float64[3, 1], flags.writeable]) → None

set_bounds(self: pydynotree.R2SO2, arg0: numpy.ndarray[numpy.float64[2, 1]], arg1: numpy.ndarray[numpy.float64[2, 1]]) → None

class pydynotree.R3

distance(self: pydynotree.R3, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: numpy.ndarray[numpy.float64[3, 1]]) → float

distance_to_rectangle(self: pydynotree.R3, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: numpy.ndarray[numpy.float64[3, 1]], arg2: numpy.ndarray[numpy.float64[3, 1]]) → float

interpolate(self: pydynotree.R3, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: numpy.ndarray[numpy.float64[3, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[3, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.R3, arg0: numpy.ndarray[numpy.float64[3, 1], flags.writeable]) → None

set_bounds(self: pydynotree.R3, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: numpy.ndarray[numpy.float64[3, 1]]) → None

class pydynotree.R3SO3

distance(self: pydynotree.R3SO3, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: numpy.ndarray[numpy.float64[7, 1]]) → float

distance_to_rectangle(self: pydynotree.R3SO3, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: numpy.ndarray[numpy.float64[7, 1]], arg2: numpy.ndarray[numpy.float64[7, 1]]) → float

interpolate(self: pydynotree.R3SO3, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: numpy.ndarray[numpy.float64[7, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[7, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.R3SO3, arg0: numpy.ndarray[numpy.float64[7, 1], flags.writeable]) → None

set_bounds(self: pydynotree.R3SO3, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: numpy.ndarray[numpy.float64[3, 1]]) → None

class pydynotree.R4

distance(self: pydynotree.R4, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: numpy.ndarray[numpy.float64[4, 1]]) → float

distance_to_rectangle(self: pydynotree.R4, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: numpy.ndarray[numpy.float64[4, 1]], arg2: numpy.ndarray[numpy.float64[4, 1]]) → float

interpolate(self: pydynotree.R4, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: numpy.ndarray[numpy.float64[4, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[4, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.R4, arg0: numpy.ndarray[numpy.float64[4, 1], flags.writeable]) → None

set_bounds(self: pydynotree.R4, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: numpy.ndarray[numpy.float64[4, 1]]) → None

class pydynotree.R5

distance(self: pydynotree.R5, arg0: numpy.ndarray[numpy.float64[5, 1]], arg1: numpy.ndarray[numpy.float64[5, 1]]) → float

distance_to_rectangle(self: pydynotree.R5, arg0: numpy.ndarray[numpy.float64[5, 1]], arg1: numpy.ndarray[numpy.float64[5, 1]], arg2: numpy.ndarray[numpy.float64[5, 1]]) → float

interpolate(self: pydynotree.R5, arg0: numpy.ndarray[numpy.float64[5, 1]], arg1: numpy.ndarray[numpy.float64[5, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[5, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.R5, arg0: numpy.ndarray[numpy.float64[5, 1], flags.writeable]) → None

set_bounds(self: pydynotree.R5, arg0: numpy.ndarray[numpy.float64[5, 1]], arg1: numpy.ndarray[numpy.float64[5, 1]]) → None

class pydynotree.R6

distance(self: pydynotree.R6, arg0: numpy.ndarray[numpy.float64[6, 1]], arg1: numpy.ndarray[numpy.float64[6, 1]]) → float

distance_to_rectangle(self: pydynotree.R6, arg0: numpy.ndarray[numpy.float64[6, 1]], arg1: numpy.ndarray[numpy.float64[6, 1]], arg2: numpy.ndarray[numpy.float64[6, 1]]) → float

interpolate(self: pydynotree.R6, arg0: numpy.ndarray[numpy.float64[6, 1]], arg1: numpy.ndarray[numpy.float64[6, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[6, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.R6, arg0: numpy.ndarray[numpy.float64[6, 1], flags.writeable]) → None

set_bounds(self: pydynotree.R6, arg0: numpy.ndarray[numpy.float64[6, 1]], arg1: numpy.ndarray[numpy.float64[6, 1]]) → None

class pydynotree.R7

distance(self: pydynotree.R7, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: numpy.ndarray[numpy.float64[7, 1]]) → float

distance_to_rectangle(self: pydynotree.R7, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: numpy.ndarray[numpy.float64[7, 1]], arg2: numpy.ndarray[numpy.float64[7, 1]]) → float

interpolate(self: pydynotree.R7, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: numpy.ndarray[numpy.float64[7, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[7, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.R7, arg0: numpy.ndarray[numpy.float64[7, 1], flags.writeable]) → None

set_bounds(self: pydynotree.R7, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: numpy.ndarray[numpy.float64[7, 1]]) → None

class pydynotree.RX

distance(self: pydynotree.RX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: numpy.ndarray[numpy.float64[m, 1]]) → float

distance_to_rectangle(self: pydynotree.RX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: numpy.ndarray[numpy.float64[m, 1]], arg2: numpy.ndarray[numpy.float64[m, 1]]) → float

interpolate(self: pydynotree.RX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: numpy.ndarray[numpy.float64[m, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[m, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.RX, arg0: numpy.ndarray[numpy.float64[m, 1], flags.writeable]) → None

set_bounds(self: pydynotree.RX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: numpy.ndarray[numpy.float64[m, 1]]) → None

class pydynotree.SO2

distance(self: pydynotree.SO2, arg0: numpy.ndarray[numpy.float64[1, 1]], arg1: numpy.ndarray[numpy.float64[1, 1]]) → float

distance_to_rectangle(self: pydynotree.SO2, arg0: numpy.ndarray[numpy.float64[1, 1]], arg1: numpy.ndarray[numpy.float64[1, 1]], arg2: numpy.ndarray[numpy.float64[1, 1]]) → float

interpolate(self: pydynotree.SO2, arg0: numpy.ndarray[numpy.float64[1, 1]], arg1: numpy.ndarray[numpy.float64[1, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[1, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.SO2, arg0: numpy.ndarray[numpy.float64[1, 1], flags.writeable]) → None

set_bounds(self: pydynotree.SO2, arg0: numpy.ndarray[numpy.float64[1, 1]], arg1: numpy.ndarray[numpy.float64[1, 1]]) → None

class pydynotree.SO3

distance(self: pydynotree.SO3, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: numpy.ndarray[numpy.float64[4, 1]]) → float

distance_to_rectangle(self: pydynotree.SO3, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: numpy.ndarray[numpy.float64[4, 1]], arg2: numpy.ndarray[numpy.float64[4, 1]]) → float

interpolate(self: pydynotree.SO3, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: numpy.ndarray[numpy.float64[4, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[4, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.SO3, arg0: numpy.ndarray[numpy.float64[4, 1], flags.writeable]) → None

set_bounds(self: pydynotree.SO3, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: numpy.ndarray[numpy.float64[4, 1]]) → None

class pydynotree.SpaceX

distance(self: pydynotree.SpaceX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: numpy.ndarray[numpy.float64[m, 1]]) → float

distance_to_rectangle(self: pydynotree.SpaceX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: numpy.ndarray[numpy.float64[m, 1]], arg2: numpy.ndarray[numpy.float64[m, 1]]) → float

interpolate(self: pydynotree.SpaceX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: numpy.ndarray[numpy.float64[m, 1]], arg2: float, arg3: numpy.ndarray[numpy.float64[m, 1], flags.writeable]) → None

sample_uniform(self: pydynotree.SpaceX, arg0: numpy.ndarray[numpy.float64[m, 1], flags.writeable]) → None

set_bounds(self: pydynotree.SpaceX, arg0: List[numpy.ndarray[numpy.float64[m, 1]]], arg1: List[numpy.ndarray[numpy.float64[m, 1]]]) → None

class pydynotree.TreeR2

addPoint(self: pydynotree.TreeR2, arg0: numpy.ndarray[numpy.float64[2, 1]], arg1: int, arg2: bool) → None

getStateSpace(self: pydynotree.TreeR2) → pydynotree.R2

search(self: pydynotree.TreeR2, arg0: numpy.ndarray[numpy.float64[2, 1]]) → pydynotree.TreeR2dp

searchKnn(self: pydynotree.TreeR2, arg0: numpy.ndarray[numpy.float64[2, 1]], arg1: int) → List[pydynotree.TreeR2dp]

class pydynotree.TreeR2SO2

addPoint(self: pydynotree.TreeR2SO2, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: int, arg2: bool) → None

getStateSpace(self: pydynotree.TreeR2SO2) → pydynotree.R2SO2

search(self: pydynotree.TreeR2SO2, arg0: numpy.ndarray[numpy.float64[3, 1]]) → pydynotree.TreeR2SO2dp

searchKnn(self: pydynotree.TreeR2SO2, arg0: numpy.ndarray[numpy.float64[3, 1]], arg1: int) → List[pydynotree.TreeR2SO2dp]

class pydynotree.TreeR2SO2dp

property distance

property id

class pydynotree.TreeR2dp

property distance

property id

class pydynotree.TreeR3SO3

addPoint(self: pydynotree.TreeR3SO3, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: int, arg2: bool) → None

getStateSpace(self: pydynotree.TreeR3SO3) → pydynotree.R3SO3

search(self: pydynotree.TreeR3SO3, arg0: numpy.ndarray[numpy.float64[7, 1]]) → pydynotree.TreeR3SO3dp

searchKnn(self: pydynotree.TreeR3SO3, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: int) → List[pydynotree.TreeR3SO3dp]

class pydynotree.TreeR3SO3dp

property distance

property id

class pydynotree.TreeR4

addPoint(self: pydynotree.TreeR4, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: int, arg2: bool) → None

getStateSpace(self: pydynotree.TreeR4) → pydynotree.R4

search(self: pydynotree.TreeR4, arg0: numpy.ndarray[numpy.float64[4, 1]]) → pydynotree.TreeR4dp

searchKnn(self: pydynotree.TreeR4, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: int) → List[pydynotree.TreeR4dp]

class pydynotree.TreeR4dp

property distance

property id

class pydynotree.TreeR7

addPoint(self: pydynotree.TreeR7, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: int, arg2: bool) → None

getStateSpace(self: pydynotree.TreeR7) → pydynotree.R7

search(self: pydynotree.TreeR7, arg0: numpy.ndarray[numpy.float64[7, 1]]) → pydynotree.TreeR7dp

searchKnn(self: pydynotree.TreeR7, arg0: numpy.ndarray[numpy.float64[7, 1]], arg1: int) → List[pydynotree.TreeR7dp]

class pydynotree.TreeR7dp

property distance

property id

class pydynotree.TreeRX

addPoint(self: pydynotree.TreeRX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: int, arg2: bool) → None

getStateSpace(self: pydynotree.TreeRX) → pydynotree.RX

search(self: pydynotree.TreeRX, arg0: numpy.ndarray[numpy.float64[m, 1]]) → pydynotree.TreeRXdp

searchKnn(self: pydynotree.TreeRX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: int) → List[pydynotree.TreeRXdp]

class pydynotree.TreeRXdp

property distance

property id

class pydynotree.TreeSO2

addPoint(self: pydynotree.TreeSO2, arg0: numpy.ndarray[numpy.float64[1, 1]], arg1: int, arg2: bool) → None

getStateSpace(self: pydynotree.TreeSO2) → pydynotree.SO2

search(self: pydynotree.TreeSO2, arg0: numpy.ndarray[numpy.float64[1, 1]]) → pydynotree.TreeSO2dp

searchKnn(self: pydynotree.TreeSO2, arg0: numpy.ndarray[numpy.float64[1, 1]], arg1: int) → List[pydynotree.TreeSO2dp]

class pydynotree.TreeSO2dp

property distance

property id

class pydynotree.TreeSO3

addPoint(self: pydynotree.TreeSO3, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: int, arg2: bool) → None

getStateSpace(self: pydynotree.TreeSO3) → pydynotree.SO3

search(self: pydynotree.TreeSO3, arg0: numpy.ndarray[numpy.float64[4, 1]]) → pydynotree.TreeSO3dp

searchKnn(self: pydynotree.TreeSO3, arg0: numpy.ndarray[numpy.float64[4, 1]], arg1: int) → List[pydynotree.TreeSO3dp]

class pydynotree.TreeSO3dp

property distance

property id

class pydynotree.TreeX

addPoint(self: pydynotree.TreeX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: int, arg2: bool) → None

getStateSpace(self: pydynotree.TreeX) → pydynotree.SpaceX

search(self: pydynotree.TreeX, arg0: numpy.ndarray[numpy.float64[m, 1]]) → pydynotree.TreeXdp

searchKnn(self: pydynotree.TreeX, arg0: numpy.ndarray[numpy.float64[m, 1]], arg1: int) → List[pydynotree.TreeXdp]

class pydynotree.TreeXdp

property distance

property id

pydynotree.srand(arg0: int) → None