Declares the interface of a function that computes the average of a sequence of floating-point numbers.

Announces a function that computes the average; signals expectation of a sequence of floats input and a float output; communicates intent to encapsulate averaging logic.

When you need to encapsulate average calculation logic; when exposing a typed API for averaging sequences of floats; when writing utility functions for data processing.

Inside utility modules, data processing scripts, or any module requiring numeric aggregation; commonly found in statistics or analytics libraries.

def <function_name>(<param_name>: Sequence[float]) -> float:

def <name>(<param>: Sequence[float]) -> float:

function_name (e.g., calculate_average), param_name (e.g., values), param_type (e.g., Sequence[float]), return_type (e.g., float)

• values
• data
• numbers
• seq
• items
• sum
• len
• return

• Parameter type: List[float]
• Iterable[float]
• return type: float
• function name: average
• mean
• avg

Forgetting to import Sequence from typing; using integer division (in Python 2) leading to integer result; not handling empty sequence causing ZeroDivisionError; confusing with median or sum.

Similar: def calculate_sum(values: Sequence[float]) -> float:; Contrasting: def calculate_median(values: Sequence[float]) -> float:

May be confused with calculate_sum or calculate_median; ensure correct import of Sequence from typing; avoid confusion with numpy.mean which expects array-like input.

• function definitions
• utility functions
• statistical functions

Using Sequence[float] accepts any sequence type (list, tuple, etc.) while return type float ensures floating‑point division; the name suggests averaging but implementation must handle empty input.

Signals a pure function expecting numeric input and returning a float; communicates intent to compute average; indicates a utility function likely free of side effects.

def calculate_average

def calculate_average(values: Sequence[float]) -> float: return sum(values)/len(values) if values else 0.0