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1 files changed, 31 insertions, 0 deletions

diff --git a/sbdata/tasks/calculate_mapping_function.py b/sbdata/tasks/calculate_mapping_function.py
new file mode 100644
index 0000000..37185a8
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+++ b/sbdata/tasks/calculate_mapping_function.py
@@ -0,0 +1,31 @@
+import pathlib
+import random
+import numpy as np
+from sklearn.linear_model import LinearRegression
+
+from sbdata.task import register_task, Arguments
+
+
+@register_task("Calculate Map Coordinate Function")
+def calculate_mapping_function(args: Arguments):
+    csv = args.get_arg("Coordinate CSV", "coords", pathlib.Path)
+    points = [[int(x) for x in y.split(",")] for y in csv.read_text().splitlines()[1:]]
+    xs = [(a[0], a[2]) for a in points]
+    zs = [(a[1], a[3]) for a in points]
+    random.shuffle(xs)
+    random.shuffle(zs)
+    find_best_function_for("X", xs)
+    find_best_function_for("Z", zs)
+
+
+def find_best_function_for(label: str, l: list[tuple[int, int]]):
+    x = np.array([a[0] for a in l]).reshape((-1, 1))
+    y = np.array([a[1] for a in l])
+    model = LinearRegression()
+    model.fit(x, y)
+    print(f'------------')
+    print(f' {label} Coordinate:')
+    print(f"   Score: {model.score(x, y)}")
+    print(f"   Slope: {model.coef_[0]}")
+    print(f"   Intercept: {model.intercept_}")
+    print(f'------------')