habitat.core.embodied_task.Metrics class

Methods

def clear(...)

D.clear() -> None. Remove all items from D.

def copy(...)

D.copy() -> a shallow copy of D

def fromkeys(iterable, value = None, /)

Returns a new dict with keys from iterable and values equal to value.

def get(...)

D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.

def items(...)

D.items() -> a set-like object providing a view on D’s items

def keys(...)

D.keys() -> a set-like object providing a view on D’s keys

def pop(...)

D.pop(k[,d]) -> v, remove specified key and return the corresponding value. If key is not found, d is returned if given, otherwise KeyError is raised

def popitem(...)

D.popitem() -> (k, v), remove and return some (key, value) pair as a 2-tuple; but raise KeyError if D is empty.

def setdefault(...)

D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D

def update(...)

D.update([E, ]**F) -> None. Update D from dict/iterable E and F. If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

def values(...)

D.values() -> an object providing a view on D’s values

Special methods

def __contains__(self, key, /)

True if D has a key k, else False.

def __delitem__(self, key, /)

Delete self[key].

def __getitem__(...)

x.__getitem__(y) <==> x[y]

def __init__(self, measures: typing.Dict[str, Measure]) -> None

Constructor

def __iter__(self, /)

Implement iter(self).

def __len__(self, /)

Return len(self).

def __setitem__(self, key, value, /)

Set self[key] to value.

def __sizeof__(...)

D.__sizeof__() -> size of D in memory, in bytes

Method documentation