Float multiplication of numpy.ndarray in lambda is incorrectly analysed

Note: if you are reporting a wrong signature of a function or a class in
the standard library, then the typeshed tracker is better suited
for this report: https://github.com/python/typeshed/issues

Please provide more information to help us understand the issue:

• Are you reporting a bug, or opening a feature request?

Bug.

• Please insert below the code you are checking with mypy,
  or a mock-up repro if the source is private. We would appreciate
  if you try to simplify your case to a minimal repro.

from typing import NewType, Tuple, Deque

import numpy as np


class Point(np.ndarray):
    def __new__(cls, x: float, y: float) -> np.ndarray:
        return np.array((x, y), dtype=np.float32)


Nose = NewType("Nose", Tuple[Point, ...])


def average_position(positions: Deque) -> Nose:
    factor = 1.0 / len(positions)
    point_sum = [Point(0.0, 0.0) for _ in range(10)]
    for nose in positions:
        for i, point in enumerate(nose):
            point_sum[i] += point
    avg_pos = Nose(tuple(map(lambda p: factor * p, point_sum)))
    return avg_pos


def average_position_with_multiply(positions: Deque) -> Nose:
    factor = 1.0 / len(positions)
    point_sum = [Point(0.0, 0.0) for _ in range(10)]
    for nose in positions:
        for i, point in enumerate(nose):
            point_sum[i] += point
    avg_pos = Nose(tuple(map(lambda p: np.multiply(factor, p), point_sum)))
    return avg_pos

• What is the actual behavior/output?

Mypy gives the errors below:

bug.py:20: error: Argument 1 to "map" has incompatible type "Callable[[Point], float]"; expected "Callable[[Point], Point]"
bug.py:20: error: Incompatible return value type (got "float", expected "Point")
Found 2 errors in 1 file (checked 1 source file)

In the lambda in average_position(), mypy incorrectly (?) determines the type as Callable[[Point], float], while using the NumPy function np.multiply() (which does the same thing) gives no error. Both functions output the same correct value.

• What is the behavior/output you expect?
  There should be no error.

• What are the versions of mypy and Python you are using?
  Do you see the same issue after installing mypy from Git master?

mypy==0.740
Python 3.8.0

• What are the mypy flags you are using? (For example --strict-optional)

[mypy]
python_version = 3.8

[mypy-cv2,dlib,numpy]
ignore_missing_imports = True

I am unsure if this is actually an error, or if I've done something wrong somewhere, but both functions run and output correctly.

Beginne damit, mypy für das im Issue gezeigte minimale Python-Beispiel mit der bereitgestellten Python-3.8-Konfiguration auszuführen, und vergleiche dabei den Lambda-Ausdruck mit np.multiply(). Verfolge die Typinferenz für den Lambda-Ausdruck und bestätige die Korrektur mit einem Regressionsfall, in dem das Beispiel keine Fehler meldet und den erwarteten Nose-Rückgabetyp beibehält.