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  • """Test equipment positions."""
    from __future__ import annotations
    from collections import Counter, defaultdict
    import datetime as dt
    import math
    import numpy as np
    import pandas as pd
    from typing import Any
    
    
    def data_dict() -> defaultdict[str, Any]:
        """Return all equipment positions."""
        d = defaultdict(list)
        d["T123"].append({"position": {"x": 42, "y": 24, "z": 0.42}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
        d["T456"].append({"position": {"x": 21.0, "y": 34, "z": 0.289}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
        d["T789"].append({"position": {"x": 17, "y": 39, "z": 0.789}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
        d["T456"].append({"position": {"x": 91.0, "y": 114, "z": 0.489}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
        d["T123"].append({"position": {"x": 43, "y": 25, "z": 0.43}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=1)})
        d["T789"].append({"position": {"x": 19., "y": 79, "z": 0.991}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=6)})
        d["T123"].append({"position": {"x": 46, "y": 29, "z": 0.44}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=2)})
        d["T456"].append({"position": {"x": 24.0, "y": 37, "z": 0.297}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)})
        d["T123"].append({"position": {"x": 49.0, "y": 32, "z": 0.451}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
        d["T789"].append({"position": {"x": 23., "y": 81, "z": 1.103}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)})
        return d
    
    
    def latest_snapshot() -> dict[str, Any]:
        """Return a snapshot of latest equipment."""
        return {
            "T123": {"position": {"x": 49.0, "y": 32, "z": 0.451}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)},
            "T456": {"position": {"x": 24.0, "y": 37, "z": 0.297}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)},
            "T789": {"position": {"x": 23.0, "y": 81, "z": 1.103}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)},
        }
    
    
    def counts() -> dict[str, int]:
        """Return counts per equipment."""
        return {
            "T123": 4,
            "T456": 3,
            "T789": 3
        }
    
    
    def speeds() -> defaultdict[str, Any]:
        """Return speeds of equipment."""
        d = defaultdict(list)
        d["T123"].append({"speed": 4.242654947082074, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
        d["T123"].append({"speed": 5.00000999999, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=2)})
        d["T123"].append({"speed": 1.4142489172702237, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=1)})
        d["T123"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
        d["T456"].append({"speed": 102.0687849638664, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)})
        d["T456"].append({"speed": 35.43388209045123, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
        d["T456"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
        d["T789"].append({"speed": 4.473538196997986, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)})
        d["T789"].append({"speed": 6.6750796998987205, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=6)})
        d["T789"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
        return d
    
      
    def find_furthest_west(d: defaultdict) -> str:
        """
        Find the name of the truck that is furthest west. That is,
        the truck with the smallest easting position component.
        """
        min_x = float('inf')
        furthest_west = None
        for equipment, positions in d.items():
            for pos in positions:
                if pos["position"]["x"] < min_x:
                    min_x = pos["position"]["x"]
                    furthest_west = equipment
        return furthest_west
    
    def get_latest_snapshot(d: defaultdict) -> dict[str, Any]:
        """
        Return a snapshot of the latest positional updates for the
        equipment.
        """
        snapshot = {}
        for equipment, positions in d.items():
            latest_pos = max(positions, key=lambda x: x["timestamp"])
            snapshot[equipment] = latest_pos
        return snapshot
    
    def get_counts(d: defaultdict) -> dict[str, int]:
        """Return a dict of trucks and the times they have provided updates."""
        return {equipment: len(positions) for equipment, positions in d.items()}
    
      
    def calculate_speeds(d: defaultdict) -> defaultdict[str, Any]:
        """Return a dict of equipment and the speeds they are travelling at."""
        pass
    
    
    
    • """Test equipment positions."""
    • from __future__ import annotations
    • from collections import Counter, defaultdict
    • import datetime as dt
    • import math
    • import numpy as np
    • import pandas as pd
    • from typing import Any
    • def data_dict() -> defaultdict[str, Any]:
    • """Return all equipment positions."""
    • d = defaultdict(list)
    • d["T123"].append({"position": {"x": 42, "y": 24, "z": 0.42}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
    • d["T456"].append({"position": {"x": 21.0, "y": 34, "z": 0.289}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
    • d["T789"].append({"position": {"x": 17, "y": 39, "z": 0.789}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
    • d["T456"].append({"position": {"x": 91.0, "y": 114, "z": 0.489}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
    • d["T123"].append({"position": {"x": 43, "y": 25, "z": 0.43}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=1)})
    • d["T789"].append({"position": {"x": 19., "y": 79, "z": 0.991}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=6)})
    • d["T123"].append({"position": {"x": 46, "y": 29, "z": 0.44}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=2)})
    • d["T456"].append({"position": {"x": 24.0, "y": 37, "z": 0.297}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)})
    • d["T123"].append({"position": {"x": 49.0, "y": 32, "z": 0.451}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
    • d["T789"].append({"position": {"x": 23., "y": 81, "z": 1.103}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)})
    • return d
    • def latest_snapshot() -> dict[str, Any]:
    • """Return a snapshot of latest equipment."""
    • return {
    • "T123": {"position": {"x": 49.0, "y": 32, "z": 0.451}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)},
    • "T456": {"position": {"x": 24.0, "y": 37, "z": 0.297}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)},
    • "T789": {"position": {"x": 23.0, "y": 81, "z": 1.103}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)},
    • }
    • def counts() -> dict[str, int]:
    • """Return counts per equipment."""
    • return {
    • "T123": 4,
    • "T456": 3,
    • "T789": 3
    • }
    • def speeds() -> defaultdict[str, Any]:
    • """Return speeds of equipment."""
    • d = defaultdict(list)
    • d["T123"].append({"speed": 4.242654947082074, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
    • d["T123"].append({"speed": 5.00000999999, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=2)})
    • d["T123"].append({"speed": 1.4142489172702237, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=1)})
    • d["T123"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
    • d["T456"].append({"speed": 102.0687849638664, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)})
    • d["T456"].append({"speed": 35.43388209045123, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
    • d["T456"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
    • d["T789"].append({"speed": 4.473538196997986, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)})
    • d["T789"].append({"speed": 6.6750796998987205, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=6)})
    • d["T789"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
    • return d
    • def find_furthest_west(d: defaultdict) -> str:
    • """
    • Find the name of the truck that is furthest west. That is,
    • the truck with the smallest easting position component.
    • """
    • pass
    • min_x = float('inf')
    • furthest_west = None
    • for equipment, positions in d.items():
    • for pos in positions:
    • if pos["position"]["x"] < min_x:
    • min_x = pos["position"]["x"]
    • furthest_west = equipment
    • return furthest_west
    • def get_latest_snapshot(d: defaultdict) -> dict[str, Any]:
    • """
    • Return a snapshot of the latest positional updates for the
    • equipment.
    • """
    • pass
    • snapshot = {}
    • for equipment, positions in d.items():
    • latest_pos = max(positions, key=lambda x: x["timestamp"])
    • snapshot[equipment] = latest_pos
    • return snapshot
    • def get_counts(d: defaultdict) -> dict[str, int]:
    • """Return a dict of trucks and the times they have provided updates."""
    • pass
    • return {equipment: len(positions) for equipment, positions in d.items()}
    • def calculate_speeds(d: defaultdict) -> defaultdict[str, Any]:
    • """Return a dict of equipment and the speeds they are travelling at."""
    • pass