Resolve all curent pylint errors

py.typed

@@ -0,0 +1 @@
+

src/scores/fast/fss/fss_numpy.py

@@ -2,6 +2,8 @@
 Backend for computing Fractions Skill Score (FSS) using numpy
 """
 
+# pylint: disable=R0801
+
 from dataclasses import dataclass
 
 import numpy as np

tests/categorical/test_contingency.py

@@ -142,7 +142,7 @@ def test_str_view():
     _stringrep = str(table)
 
 
-def test_categorical_table():
+def test_categorical_table():  # pylint: disable=too-many-statements
     """
     Test the basic calculations of the contingency table
     """

tests/continuous/test_consistent.py

@@ -25,13 +25,13 @@
 DA_FCST = xr.DataArray(
     data=[[3.0, 1.0, nan, 3.0], [-4.0, 0.0, 1.0, 3.0]],
     dims=["date", "station"],
-    coords=dict(date=["1", "2"], station=[100, 101, 102, 104]),
+    coords={"date": ["1", "2"], "station": [100, 101, 102, 104]},
 )
 
 DA_OBS = xr.DataArray(
     data=[[nan, 3.0, 5.0], [-4.0, 10.0, -1.0], [3.0, 2.0, -0.2]],
     dims=["date", "station"],
-    coords=dict(date=["1", "2", "3"], station=[100, 101, 102]),
+    coords={"date": ["1", "2", "3"], "station": [100, 101, 102]},
 )
 
 WEIGHTS = DA_FCST * 0 + 2
@@ -41,13 +41,13 @@
 EXP_EXPECTILE_SCORE1 = xr.DataArray(
     data=[[nan, ALPHA * 4.0, nan], [0.0, ALPHA * 100, (1 - ALPHA) * 4]],
     dims=["date", "station"],
-    coords=dict(date=["1", "2"], station=[100, 101, 102]),
+    coords={"date": ["1", "2"], "station": [100, 101, 102]},
 )
 
 EXP_EXPECTILE_SCORE2 = xr.DataArray(
     data=[0.0, ALPHA * (4 + 100) / 2, (1 - ALPHA) * 4],
     dims=["station"],
-    coords=dict(station=[100, 101, 102]),
+    coords={"station": [100, 101, 102]},
 )
 EXP_EXPECTILE_SCORE3 = xr.DataArray((ALPHA * 4.0 + ALPHA * 100 + (1 - ALPHA) * 4) / 4)
 
@@ -56,13 +56,13 @@
 EXP_HUBER_SCORE1 = xr.DataArray(
     data=[[nan, 2.0, nan], [0.0, 18.0, 2.0]],
     dims=["date", "station"],
-    coords=dict(date=["1", "2"], station=[100, 101, 102]),
+    coords={"date": ["1", "2"], "station": [100, 101, 102]},
 )
 
 EXP_HUBER_SCORE2 = xr.DataArray(
     data=[2.0, 20 / 3],
     dims=["date"],
-    coords=dict(date=["1", "2"]),
+    coords={"date": ["1", "2"]},
 )
 
 EXP_HUBER_SCORE3 = xr.DataArray(
@@ -72,13 +72,13 @@
 EXP_QUANTILE_SCORE1 = xr.DataArray(
     data=[[nan, ALPHA * 2.0, nan], [0.0, ALPHA * 10, (1 - ALPHA) * 2]],
     dims=["date", "station"],
-    coords=dict(date=["1", "2"], station=[100, 101, 102]),
+    coords={"date": ["1", "2"], "station": [100, 101, 102]},
 )
 
 EXP_QUANTILE_SCORE2 = xr.DataArray(
     data=[ALPHA * 2.0, (ALPHA * 10 + (1 - ALPHA) * 2) / 3],
     dims=["date"],
-    coords=dict(date=["1", "2"]),
+    coords={"date": ["1", "2"]},
 )
 
 EXP_QUANTILE_SCORE3 = xr.DataArray((ALPHA * 2.0 + ALPHA * 10 + (1 - ALPHA) * 2) / 4)

tests/continuous/test_correlation.py

@@ -1,3 +1,7 @@
+"""
+Tests for correlation calculations
+"""
+
 import numpy as np
 import pytest
 import xarray as xr

tests/processing/cdf/functions_test_data.py

@@ -34,17 +34,13 @@
 EXP_ADD_THRESHOLDS1 = xr.DataArray(
     data=[[[0.2, 0.4, 1, 1, 1], [0, 0, 0.6, 0.8, 1]]],
     dims=["date", "station", "x"],
-    coords=dict(
-        station=[1001, 1002], date=["2020-01-01"], x=[0, 0.2, 0.5, 0.75, 1]
-    ),  # pylint: disable=use-dict-literal
+    coords={"station": [1001, 1002], "date": ["2020-01-01"], "x": [0, 0.2, 0.5, 0.75, 1]},
 )
 
 EXP_ADD_THRESHOLDS2 = xr.DataArray(
     data=[[[0.2, 0.4, 1, np.nan, 1], [0, 0, 0.6, np.nan, 1]]],
     dims=["date", "station", "x"],
-    coords=dict(
-        station=[1001, 1002], date=["2020-01-01"], x=[0, 0.2, 0.5, 0.75, 1]
-    ),  # pylint: disable=use-dict-literal
+    coords={"station": [1001, 1002], "date": ["2020-01-01"], "x": [0, 0.2, 0.5, 0.75, 1]},
 )
 
 DA_DECREASING_CDFS1 = xr.DataArray(