TestSphereProjectionInverse.py

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import Wrapper
import numpy as np
from pyproj import Transformer
import MyAssert
 
# 1. Gitter in lon/lat erzeugen
lons = np.linspace(-98, -70, 1000)
lats = np.linspace(15, 35, 1000)
LON, LAT = np.meshgrid(lons, lats)
 
# 2. Albers-Projektion (WGS84 → AEA)
proj_str = (
    "+proj=aea "
    "+lon_0=-84 +lat_1=18.3333333 +lat_2=31.6666667 +lat_0=25 "
    "+a=6371000 +b=6371000 "
    "+units=m +no_defs"
)
transformer = Transformer.from_crs("EPSG:4326", proj_str, always_xy=True)
X, Y = transformer.transform(LON, LAT)  # in Meter
 
# 3. Inverse Projektion mit deiner Funktion `Z(x, y)` → gibt vermutlich (lon, lat)
# Wenn Z nur `lat` zurückgibt, dann:
lon_reconstructed = np.vectorize(
    lambda x, y: Wrapper.sphereTransformInverse(x, y).first
)(X, Y)
 
lon_diff = lon_reconstructed - LON
MyAssert.test_array_within_threshold(lon_diff)
 
lat_reconstructed = np.vectorize(
    lambda x, y: Wrapper.sphereTransformInverse(x, y).second
)(X, Y)
 
lat_diff = lat_reconstructed - LAT
MyAssert.test_array_within_threshold(lat_diff)