batch handle noqa in pyproject.toml

giddy/directional.py

@@ -299,7 +299,7 @@ def permute(self, permutations=99, alternative="two.sided"):
         else:
             print("Bad option for alternative: %s." % alternative)
 
-    def _calc(self, Y, w, k):  # noqa ARG002 – Unused method argument: `k`
+    def _calc(self, Y, w, k):
         wY = weights.lag_spatial(w, Y)
         dx = Y[:, -1] - Y[:, 0]
         dy = wY[:, -1] - wY[:, 0]

giddy/markov.py

@@ -301,7 +301,7 @@ def sojourn_time(self):
         return self._st
 
 
-class Spatial_Markov:  # noqa N801 – Class name should use CapWords convention
+class Spatial_Markov:
     """
     Markov transitions conditioned on the value of the spatial lag.
 
@@ -849,7 +849,7 @@ def s(self):
         return self._s
 
     @property
-    def S(self):  # noqa N802 – Function name should be lowercase
+    def S(self):
         if not hasattr(self, "_S"):
             _S = []
             for p in self.P:
@@ -865,7 +865,7 @@ def f(self):
         return self._f
 
     @property
-    def F(self):  # noqa N802 – Function name should be lowercase
+    def F(self):
         if not hasattr(self, "_F"):
             F = np.zeros_like(self.P)
             for i, p in enumerate(self.P):
@@ -881,23 +881,23 @@ def ht(self):
         return self._ht
 
     @property
-    def Q(self):  # noqa N802 – Function name should be lowercase
+    def Q(self):
         if not hasattr(self, "_Q"):
             self._Q = self.ht.Q
         return self._Q
 
     @property
-    def Q_p_value(self):  # noqa N802 – Function name should be lowercase
+    def Q_p_value(self):
         self._Q_p_value = self.ht.Q_p_value
         return self._Q_p_value
 
     @property
-    def LR(self):  # noqa N802 – Function name should be lowercase
+    def LR(self):
         self._LR = self.ht.LR
         return self._LR
 
     @property
-    def LR_p_value(self):  # noqa N802 – Function name should be lowercase
+    def LR_p_value(self):
         self._LR_p_value = self.ht.LR_p_value
         return self._LR_p_value
 
@@ -1146,7 +1146,7 @@ def chi2(T1, T2):
     return chi2, pvalue, dof
 
 
-class LISA_Markov(Markov):  # noqa N801 – Class name should use CapWords convention
+class LISA_Markov(Markov):
     """
     Markov for Local Indicators of Spatial Association
 
@@ -1726,7 +1726,7 @@ def homogeneity(
     )
 
 
-class Homogeneity_Results:  # noqa N801 – Class name should use CapWords convention
+class Homogeneity_Results:
     """
     Wrapper class to present homogeneity results.
 
@@ -1891,12 +1891,7 @@ def summary(self, file_name=None, title="Markov Homogeneity Test"):
             p0 = []
             line0 = ["{s: <{w}}".format(s="P(%s)" % regime_names[r], w=col_width)]
             line0.extend(
-
-                    [
-                        "{s: >{w}}".format(s=cname, w=col_width)
-                        for cname in self.class_names
-                    ]
-
+                ["{s: >{w}}".format(s=cname, w=col_width) for cname in self.class_names]
             )
             print("    ".join(line0))
             p0.append("&".join(line0))
@@ -1955,7 +1950,7 @@ def summary(self, file_name=None, title="Markov Homogeneity Test"):
                 f.write(s1 + s2)
 
 
-class FullRank_Markov(Markov):  # noqa N801 – Class name should use CapWords convention
+class FullRank_Markov(Markov):
     """
     Full Rank Markov in which ranks are considered as Markov states rather
     than quantiles or other discretized classes. This is one way to avoid
@@ -2104,7 +2099,7 @@ def sojourn_time(p, summary=True):
     return st
 
 
-class GeoRank_Markov(Markov):  # noqa N801 – Class name should use CapWords convention
+class GeoRank_Markov(Markov):
     """
     Geographic Rank Markov.
     Geographic units are considered as Markov states.

giddy/rank.py

@@ -415,7 +415,7 @@ def pseudop(sim, observed, nperm):
     return psim
 
 
-class Tau_Local:  # noqa N801 – Class name should use CapWords convention
+class Tau_Local:
     """
     Local version of the classic Tau.
 
@@ -491,7 +491,7 @@ def __init__(self, x, y):
         self.tau_local = si * 1.0 / (self.n - 1)
 
 
-class Tau_Local_Neighbor:  # noqa N801 – Class name should use CapWords convention
+class Tau_Local_Neighbor:
     """
     Neighbor set LIMA.
 
@@ -628,7 +628,7 @@ def __init__(self, x, y, w, permutations=0):
             self.tau_ln_sim = tau_ln_sim
             self.tau_ln_pvalues = tau_ln_pvalues
 
-    def _calc_r(self, xi, yi, xj, yj, w):  # noqa ARG002 – Unused method argument: `w`
+    def _calc_r(self, xi, yi, xj, yj, w):
         dx = xi - xj
         dy = yi - yj
         dxdy = dx * dy
@@ -659,7 +659,7 @@ def _calc(self, x, y, w, i=None):
             return tau_ln, tau_ln_weights
 
 
-class Tau_Local_Neighborhood:  # noqa N801 – Class name should use CapWords convention
+class Tau_Local_Neighborhood:
     """
     Neighborhood set LIMA.
 
@@ -796,7 +796,7 @@ def __init__(self, x, y, w, permutations=0):
             self.tau_lnhood_pvalues = tau_lnhood_pvalues
 
 
-class Tau_Regional:  # noqa N801 – Class name should use CapWords convention
+class Tau_Regional:
     """
     Inter and intraregional decomposition of the classic Tau.
 

pyproject.toml

@@ -92,6 +92,18 @@ ignore = [
     "UP007"
 ]
 exclude = ["giddy/tests/*", "docs/*"]
+[tool.ruff.per-file-ignores]
+"giddy/directional.py" = [
+    "ARG002",  # Unused method argument
+]
+"giddy/markov.py" = [
+    "N801",  # Class name should use CapWords convention
+    "N802",  # Function name should be lowercase
+]
+"giddy/rank.py" = [
+    "N801",
+    "ARG002",
+]
 
 [tool.coverage.run]
 source = ["./giddy"]