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# governors.py

# From Classic Computer Science Problems in Python Chapter 6

# 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 List

from data_point import DataPoint

from kmeans import KMeans

class Governor(DataPoint):

def __init__(self, longitude: float, age: float, state: str) -> None:

super().__init__([longitude, age])

self.longitude = longitude

self.age = age

self.state = state

def __repr__(self) -> str:

return f"{self.state}: (longitude: {self.longitude}, age: {self.age})"

if __name__ == "__main__":

governors: List[Governor] = [Governor(-86.79113, 72, "Alabama"), Governor(-152.404419, 66, "Alaska"),

Governor(-111.431221, 53, "Arizona"), Governor(-92.373123, 66, "Arkansas"),

Governor(-119.681564, 79, "California"), Governor(-105.311104, 65, "Colorado"),

Governor(-72.755371, 61, "Connecticut"), Governor(-75.507141, 61, "Delaware"),

Governor(-81.686783, 64, "Florida"), Governor(-83.643074, 74, "Georgia"),

Governor(-157.498337, 60, "Hawaii"), Governor(-114.478828, 75, "Idaho"),

Governor(-88.986137, 60, "Illinois"), Governor(-86.258278, 49, "Indiana"),

Governor(-93.210526, 57, "Iowa"), Governor(-96.726486, 60, "Kansas"),

Governor(-84.670067, 50, "Kentucky"), Governor(-91.867805, 50, "Louisiana"),

Governor(-69.381927, 68, "Maine"), Governor(-76.802101, 61, "Maryland"),

Governor(-71.530106, 60, "Massachusetts"), Governor(-84.536095, 58, "Michigan"),

Governor(-93.900192, 70, "Minnesota"), Governor(-89.678696, 62, "Mississippi"),

Governor(-92.288368, 43, "Missouri"), Governor(-110.454353, 51, "Montana"),

Governor(-98.268082, 52, "Nebraska"), Governor(-117.055374, 53, "Nevada"),

Governor(-71.563896, 42, "New Hampshire"), Governor(-74.521011, 54, "New Jersey"),

Governor(-106.248482, 57, "New Mexico"), Governor(-74.948051, 59, "New York"),

Governor(-79.806419, 60, "North Carolina"), Governor(-99.784012, 60, "North Dakota"),

Governor(-82.764915, 65, "Ohio"), Governor(-96.928917, 62, "Oklahoma"),

Governor(-122.070938, 56, "Oregon"), Governor(-77.209755, 68, "Pennsylvania"),

Governor(-71.51178, 46, "Rhode Island"), Governor(-80.945007, 70, "South Carolina"),

Governor(-99.438828, 64, "South Dakota"), Governor(-86.692345, 58, "Tennessee"),

Governor(-97.563461, 59, "Texas"), Governor(-111.862434, 70, "Utah"),

Governor(-72.710686, 58, "Vermont"), Governor(-78.169968, 60, "Virginia"),

Governor(-121.490494, 66, "Washington"), Governor(-80.954453, 66, "West Virginia"),

Governor(-89.616508, 49, "Wisconsin"), Governor(-107.30249, 55, "Wyoming")]

kmeans: KMeans[Governor] = KMeans(2, governors)

gov_clusters: List[KMeans.Cluster] = kmeans.run()

for index, cluster in enumerate(gov_clusters):

print(f"Cluster {index}: {cluster.points}\n")