From 20a27703cfb001eb2fb7a9ed22ace122245cf6bd Mon Sep 17 00:00:00 2001
From: Hendrik Makait <hendrik@makait.com>
Date: Tue, 5 Nov 2024 10:35:16 +0100
Subject: [PATCH] Remove dead code (#1582)

---
 tests/geospatial/test_climatology.py | 61 ----------------------------
 1 file changed, 61 deletions(-)

diff --git a/tests/geospatial/test_climatology.py b/tests/geospatial/test_climatology.py
index c3144e0389..201824b6e5 100644
--- a/tests/geospatial/test_climatology.py
+++ b/tests/geospatial/test_climatology.py
@@ -9,72 +9,11 @@
 METHOD = "explicit"
 """
 
-import numpy as np
-import xarray as xr
 from coiled.credentials.google import CoiledShippedCredentials
 
 from tests.geospatial.workloads.climatology import highlevel_api, rechunk_map_blocks
 
 
-def compute_hourly_climatology(
-    ds: xr.Dataset,
-) -> xr.Dataset:
-    hours = xr.DataArray(range(0, 24, 6), dims=["hour"])
-    window_weights = create_window_weights(61)
-    return xr.concat(
-        [compute_rolling_mean(select_hour(ds, hour), window_weights) for hour in hours],
-        dim=hours,
-    )
-
-
-def compute_rolling_mean(ds: xr.Dataset, window_weights: xr.DataArray) -> xr.Dataset:
-    window_size = len(window_weights)
-    half_window_size = window_size // 2  # For padding
-    ds = xr.concat(
-        [
-            replace_time_with_doy(ds.sel(time=str(y)))
-            for y in np.unique(ds.time.dt.year)
-        ],
-        dim="year",
-    )
-    ds = ds.fillna(ds.sel(dayofyear=365))
-    ds = ds.pad(pad_width={"dayofyear": half_window_size}, mode="wrap")
-    ds = ds.rolling(dayofyear=window_size, center=True).construct("window")
-    ds = ds.weighted(window_weights).mean(dim=("window", "year"))
-    return ds.isel(dayofyear=slice(half_window_size, -half_window_size))
-
-
-def create_window_weights(window_size: int) -> xr.DataArray:
-    """Create linearly decaying window weights."""
-    assert window_size % 2 == 1, "Window size must be odd."
-    half_window_size = window_size // 2
-    window_weights = np.concatenate(
-        [
-            np.linspace(0, 1, half_window_size + 1),
-            np.linspace(1, 0, half_window_size + 1)[1:],
-        ]
-    )
-    window_weights = window_weights / window_weights.mean()
-    window_weights = xr.DataArray(window_weights, dims=["window"])
-    return window_weights
-
-
-def replace_time_with_doy(ds: xr.Dataset) -> xr.Dataset:
-    """Replace time coordinate with days of year."""
-    return ds.assign_coords({"time": ds.time.dt.dayofyear}).rename(
-        {"time": "dayofyear"}
-    )
-
-
-def select_hour(ds: xr.Dataset, hour: int) -> xr.Dataset:
-    """Select given hour of day from dataset."""
-    # Select hour
-    ds = ds.isel(time=ds.time.dt.hour == hour)
-    # Adjust time dimension
-    ds = ds.assign_coords({"time": ds.time.astype("datetime64[D]")})
-    return ds
-
-
 def test_rechunk_map_blocks(
     gcs_url,
     scale,