|
| 1 | +# standard library |
| 2 | +from dataclasses import dataclass |
| 3 | +from typing import Collection, Tuple, Union |
| 4 | + |
| 5 | + |
| 6 | +# dependencies |
| 7 | +import numpy as np |
| 8 | +from typing_extensions import Annotated as Ann, Literal as L |
| 9 | +from xarray_dataclasses.v2.typing import Attr, Coord, Coordof, Data |
| 10 | + |
| 11 | + |
| 12 | +# type hints |
| 13 | +X = L["x"] |
| 14 | +Y = L["y"] |
| 15 | +T = L["time"] |
| 16 | +_ = Tuple[()] |
| 17 | + |
| 18 | + |
| 19 | +# test data |
| 20 | +@dataclass |
| 21 | +class Longitude: |
| 22 | + """Specification of longitude.""" |
| 23 | + |
| 24 | + data: Data[Tuple[X, Y], float] |
| 25 | + units: Attr[str] = "deg" |
| 26 | + |
| 27 | + |
| 28 | +@dataclass |
| 29 | +class Latitude: |
| 30 | + """Specification of latitude.""" |
| 31 | + |
| 32 | + data: Data[Tuple[X, Y], float] |
| 33 | + units: Attr[str] = "deg" |
| 34 | + |
| 35 | + |
| 36 | +@dataclass |
| 37 | +class Weather: |
| 38 | + """Weather information.""" |
| 39 | + |
| 40 | + temp: Ann[Data[Tuple[X, Y, T], float], "Temperature ({.temp_unit})"] |
| 41 | + """Measured temperature.""" |
| 42 | + |
| 43 | + prec: Ann[Data[Tuple[X, Y, T], float], "Precipitation ({.prec_unit})"] |
| 44 | + """Measured precipitation.""" |
| 45 | + |
| 46 | + lon: Union[Ann[Coordof[Longitude], "Longitude"], Collection[float]] |
| 47 | + """Longitude of the measured location.""" |
| 48 | + |
| 49 | + lat: Union[Ann[Coordof[Latitude], "Latitude"], Collection[float]] |
| 50 | + """Latitude of the measured location.""" |
| 51 | + |
| 52 | + time: Coord[T, L["M8[ns]"]] |
| 53 | + """Measured time.""" |
| 54 | + |
| 55 | + reference_time: Union[Coord[_, L["M8[ns]"]], np.datetime64] |
| 56 | + """Reference time.""" |
| 57 | + |
| 58 | + temp_unit: str = "deg C" |
| 59 | + """Unit of the temperature.""" |
| 60 | + |
| 61 | + prec_unit: str = "mm" |
| 62 | + """Unit of the precipitation.""" |
| 63 | + |
| 64 | + |
| 65 | +weather = Weather( |
| 66 | + 15 + 8 * np.random.randn(2, 2, 3), |
| 67 | + 10 * np.random.rand(2, 2, 3), |
| 68 | + np.array([[-99.83, -99.32], [-99.79, -99.23]]), |
| 69 | + np.array([[42.25, 42.21], [42.63, 42.59]]), |
| 70 | + np.array(["2014-09-06", "2014-09-07", "2014-09-08"], "M8[ns]"), |
| 71 | + np.datetime64("2014-09-05"), |
| 72 | +) |
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