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# data_point.py

# From Classic Computer Science Problems in Python Chapter 6

# Copyright 2018 David Kopec

#

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

from __future__ import annotations

from typing import Iterator, Tuple, List, Iterable

from math import sqrt

class DataPoint:

def __init__(self, initial: Iterable[float]) -> None:

self._originals: Tuple[float, ...] = tuple(initial)

self.dimensions: Tuple[float, ...] = tuple(initial)

@property

def num_dimensions(self) -> int:

return len(self.dimensions)

def distance(self, other: DataPoint) -> float:

combined: Iterator[Tuple[float, float]] = zip(self.dimensions, other.dimensions)

differences: List[float] = [(x - y) ** 2 for x, y in combined]

return sqrt(sum(differences))

def __eq__(self, other: object) -> bool:

if not isinstance(other, DataPoint):

return NotImplemented

return self.dimensions == other.dimensions

def __repr__(self) -> str:

return self._originals.__repr__()