estimator.cost.Cost

estimator.cost.Cost#

class estimator.cost.Cost(dict=None, /, **kwargs)[source]#

Algorithms costs.

__call__(**kwargs)#

Call self as a function.

Methods

__init__([dict])

clear()

combine(right[, base])

Combine left and right.

copy()

filter(**keys)

Return new ordered dictionary from dictionary restricted to the keys.

fromkeys(iterable[, value])

get(k[,d])

items()

keys()

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.

register_impermanent([data])

reorder(*args)

Return a new ordered dict from the key:value pairs in dictionary but reordered such that the keys given to this function come first.

repeat(times[, select])

Return a report with all costs multiplied by times.

sanity_check()

Perform basic checks.

setdefault(k[,d])

str([keyword_width, newline, round_bound, ...])

param keyword_width:

keys are printed with this width

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()

Attributes