Run the changed performer with its joint remaining support

Before testing withdrawal, bind the learned actions to the actual runner and define the assistance rule. For the two familiar unit classes, the candidate uses its learned interpretation. A new unit returns the need for its current definition. Every report still needs an applicable current-rule observation; once that evidence is supplied for the task, further retrieval can stop. Use SYSE.50 for the help decision, SYSE.51 for useful effort and completion reserve, and SYSE.47/.52 for the implemented continuation and input. Requalify those decisions when their performer, input or support changes.

This Python fixture calculates the update and executes subsequent reports. The snapshot passed through current is stipulated current for that task; a real adapter must obtain the corresponding freshness grounds. The calls return read-only reports. The success function computes the finite learned performer’s rate; the earlier table separately supplies the unchanged aided performer’s rates.

from math import exp, log

def sigmoid(x):
    return 1.0 / (1.0 + exp(-x))

def loss(theta):
    p = [sigmoid(x) for x in theta]
    return -(log(p[0]) + log(1.0 - p[1])) / 2.0

def update(theta, eta=4.0):
    targets = (1.0, 0.0)
    gradient = [(sigmoid(x) - y) / 2.0
                for x, y in zip(theta, targets)]
    return [x - eta * g for x, g in zip(theta, gradient)]

def success(theta):
    return (sigmoid(theta[0]) + 1.0 - sigmoid(theta[1])) / 2.0

theta = [-log(4.0), log(4.0)]
history = [(0, tuple(theta), success(theta))]
for step in range(1, 5):
    theta = update(theta)
    history.append((step, tuple(theta), success(theta)))
for row in history:
    print(row)
assert success(theta) >= 0.85

class RuleSource:
    def __init__(self, revision, maximum_seconds):
        self.revision = revision
        self.maximum_seconds = maximum_seconds
        self.calls = 0

    def read(self):
        self.calls += 1
        if self.maximum_seconds is None:
            return None
        return {"revision": self.revision,
                "maximum_seconds": self.maximum_seconds}

def complete(amount, unit, theta, draw, source, current=None):
    if unit not in ("ms", "minutes"):
        return {"gap": "obtain the current unit definition"}
    # These two action bindings are retained execution operations.
    if unit == "ms":
        seconds = amount / 1000 if draw < sigmoid(theta[0]) else amount
    else:
        seconds = amount if draw < sigmoid(theta[1]) else amount * 60
    if current is None:
        current = source.read()
    if current is None:
        return {"gap": "obtain the current permitted range"}
    return {"seconds": seconds, "revision": current["revision"],
            "within_range": 0 < seconds <= current["maximum_seconds"]}

old = RuleSource(7, 20)
first = complete(15000, "ms", theta, 0.6, old)
assert first == {"seconds": 15, "revision": 7, "within_range": True}
assert old.calls == 1
new = RuleSource(8, 10)
changed = complete(15000, "ms", theta, 0.6, new)
assert changed == {"seconds": 15, "revision": 8, "within_range": False}
missing = RuleSource(9, None)
assert complete(15000, "ms", theta, 0.6, missing) == {
    "gap": "obtain the current permitted range"}
# The fixture supplies this snapshot as current for this task.
fresh = new.read()
calls_before = new.calls
stopped = complete(0.3, "minutes", theta, 0.6, new, current=fresh)
assert stopped == {"seconds": 18, "revision": 8, "within_range": False}
assert new.calls == calls_before
assert complete(500, "ticks", theta, 0.6, new) == {
    "gap": "obtain the current unit definition"}
print(first, changed, stopped)

for n in (2, 20, 100):
    print(n, {"retain": 4.2*n, "learn": 30+3.1*n,
              "converter": 8+3.0*n})

The learned interpretation produces 15 seconds from 15000 ms. Under revision 7 with maximum 20 seconds, the completed report says within range. Under revision 8 with maximum 10 seconds, the same learned operation correctly produces an out-of-range report after consuming the new rule. The missing-source case returns the missing range; changing the interpretation weights cannot supply it. With an already current snapshot, 0.3 minutes becomes 18 seconds and the assistant finishes without another read. The unfamiliar ticks case returns the missing definition.

Test the whole candidate on the declared task population and final support conditions through SYSE.46. In the finite model, the two correct-action probabilities can be enumerated exactly. With sampled operating data, retain the sampling, dependence and uncertainty that qualify a claimed rate. Include failed reports, unrecognized inputs, inaccurate help, a changed definition and a formerly retained guide that later becomes necessary. Restore the contribution whose grounds failed; avoid changing the learner merely because the whole report failed.