NullScale

class NullScale

Bases: object

__init__()

Methods

__init__()
calibrate(weight)	Calibrates the scale using a known weight.
get_weight()	Gets the current weight.
real_weight_inference()	Determines if a sequence of weight measurements represents a stable weight.
tare()	Tares the scale.

Attributes

error

error: str = 'Error connecting to the scale '

tare() → None

Tares the scale.

calibrate(weight: float) → None

Calibrates the scale using a known weight.

Parameters:

weight (float) – The known weight.

get_weight() → float

Gets the current weight.

Returns:

The weight reading (default 0.0).

Return type:

float

real_weight_inference() → tuple[bool, float]

Determines if a sequence of weight measurements represents a stable weight.

Conditions to call it a real weight: - standard deviation of the last 5 measurements is

smaller than 10% of the threshold

Returns:

(True, median_weight) if stable, else (False, 0.0).

Return type:

tuple[bool, float]