ArrayDict

class openalea.metafspm.utils.ArrayDict(init=None, dtype=<class 'numpy.float64'>, init_capacity=0)

Bases: MutableMapping

Mapping[int -> float] backed by two aligned arrays:

• order[i] = key at logical position i (sorted ascending, invariant)

• arr[i] = value for order[i]

Also keeps a dict key -> current index for O(1) lookups/updates.

__init__(init=None, dtype=<class 'numpy.float64'>, init_capacity=0)

Methods

__init__([init, dtype, init_capacity])
assign_all(values)
assign_at(idxs, values)
check_invariant()
clear()
get(k[,d])
indices_of(vids)
items()
keys()
keys_array()	Keys (ascending).
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised.
popitem()	as a 2-tuple; but raise KeyError if D is empty.
reindex_sorted_inplace()
scatter(keys, values)
setdefault(k[,d])
to_dict()
update([E, ]**F)	If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
values()
values_array()	Values aligned with keys in ascending key order.

clear() → None.  Remove all items from D.

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

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

keys_array() → ndarray

Keys (ascending).

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.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

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

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

values() → an object providing a view on D's values

values_array() → ndarray

Values aligned with keys in ascending key order.