remove sdba- in references

Ouranosinc · Oct 7, 2024 · 8e22153 · 8e22153
1 parent a69dd31
commit 8e22153
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Showing 4 changed files with 25 additions and 25 deletions.
diff --git a/src/xsdba/adjustment.py b/src/xsdba/adjustment.py
@@ -412,7 +412,7 @@ class EmpiricalQuantileMapping(TrainAdjust):
 
     References
     ----------
-    :cite:cts:`sdba-deque_frequency_2007`
+    :cite:cts:`deque_frequency_2007`
     """
 
     _allow_diff_calendars = False
@@ -511,7 +511,7 @@ class DetrendedQuantileMapping(TrainAdjust):
 
     References
     ----------
-    :cite:cts:`sdba-cannon_bias_2015`
+    :cite:cts:`cannon_bias_2015`
     """
 
     _allow_diff_calendars = False
@@ -622,7 +622,7 @@ class QuantileDeltaMapping(EmpiricalQuantileMapping):
 
     References
     ----------
-    :cite:cts:`sdba-cannon_bias_2015`
+    :cite:cts:`cannon_bias_2015`
     """
 
     def _adjust(self, sim, interp="nearest", extrapolation="constant"):
@@ -716,8 +716,8 @@ class ExtremeValues(TrainAdjust):
 
     References
     ----------
-    :cite:cts:`sdba-roy_juliaclimateclimatetoolsjl_2021`
-    :cite:cts:`sdba-roy_extremeprecip_2023`
+    :cite:cts:`roy_juliaclimateclimatetoolsjl_2021`
+    :cite:cts:`roy_extremeprecip_2023`
     """
 
     @classmethod
@@ -839,7 +839,7 @@ class LOCI(TrainAdjust):
 
     References
     ----------
-    :cite:cts:`sdba-schmidli_downscaling_2006`
+    :cite:cts:`schmidli_downscaling_2006`
     """
 
     _allow_diff_calendars = False
@@ -984,7 +984,7 @@ class PrincipalComponents(TrainAdjust):
 
     References
     ----------
-    :cite:cts:`sdba-hnilica_multisite_2017,sdba-alavoine_distinct_2022`
+    :cite:cts:`hnilica_multisite_2017,sdba-alavoine_distinct_2022`
     """
 
     @classmethod
@@ -1184,7 +1184,7 @@ class NpdfTransform(Adjust):
 
     References
     ----------
-    :cite:cts:`sdba-cannon_multivariate_2018,sdba-cannon_mbc_2020,sdba-pitie_n-dimensional_2005,sdba-mezzadri_how_2007,sdba-szekely_testing_2004`
+    :cite:cts:`cannon_multivariate_2018,sdba-cannon_mbc_2020,sdba-pitie_n-dimensional_2005,sdba-mezzadri_how_2007,sdba-szekely_testing_2004`
     """
 
     @classmethod
@@ -1367,7 +1367,7 @@ class MBCn(TrainAdjust):
 
     References
     ----------
-    :cite:cts:`sdba-cannon_multivariate_2018,sdba-cannon_mbc_2020,sdba-pitie_n-dimensional_2005,sdba-mezzadri_how_2007,sdba-szekely_testing_2004`
+    :cite:cts:`cannon_multivariate_2018,sdba-cannon_mbc_2020,sdba-pitie_n-dimensional_2005,sdba-mezzadri_how_2007,sdba-szekely_testing_2004`
 
     Notes
     -----

diff --git a/src/xsdba/loess.py b/src/xsdba/loess.py
@@ -86,9 +86,9 @@ def _loess_nb(
 
     References
     ----------
-    :cite:cts:`sdba-cleveland_robust_1979`
+    :cite:cts:`cleveland_robust_1979`
 
-    Code adapted from: :cite:cts:`sdba-gramfort_lowess_2015`
+    Code adapted from: :cite:cts:`gramfort_lowess_2015`
     """
     if skipna:
         nan = np.isnan(y)
@@ -232,9 +232,9 @@ def loess_smoothing(
 
     References
     ----------
-    :cite:cts:`sdba-cleveland_robust_1979`
+    :cite:cts:`cleveland_robust_1979`
 
-    Code adapted from: :cite:cts:`sdba-gramfort_lowess_2015`
+    Code adapted from: :cite:cts:`gramfort_lowess_2015`
     """
     x = da[dim]
     x = ((x - x[0]) / (x[-1] - x[0])).astype(float)

diff --git a/src/xsdba/processing.py b/src/xsdba/processing.py
@@ -92,7 +92,7 @@ def adapt_freq(
 
     References
     ----------
-    :cite:cts:`sdba-themesl_empirical-statistical_2012`
+    :cite:cts:`themesl_empirical-statistical_2012`
     """
     out = _adapt_freq(xr.Dataset(dict(sim=sim, ref=ref)), group=group, thresh=thresh)
 
@@ -369,7 +369,7 @@ def reordering(ref: xr.DataArray, sim: xr.DataArray, group: str = "time") -> xr.
 
     References
     ----------
-    :cite:cts:`sdba-cannon_multivariate_2018`.
+    :cite:cts:`cannon_multivariate_2018`.
     """
     ds = xr.Dataset({"sim": sim, "ref": ref})
     out: xr.Dataset = _reordering(ds, group=group).reordered
@@ -435,7 +435,7 @@ def escore(
 
     References
     ----------
-    :cite:cts:`sdba-baringhaus_new_2004,sdba-cannon_multivariate_2018,sdba-cannon_mbc_2020,sdba-szekely_testing_2004`.
+    :cite:cts:`baringhaus_new_2004,sdba-cannon_multivariate_2018,sdba-cannon_mbc_2020,sdba-szekely_testing_2004`.
     """
     pts_dim, obs_dim = dims
 
@@ -554,7 +554,7 @@ def to_additive_space(
 
     References
     ----------
-    :cite:cts:`sdba-alavoine_distinct_2022`.
+    :cite:cts:`alavoine_distinct_2022`.
     """
     # with units.context(infer_context(data.attrs.get("standard_name"))):
     lower_bound_array = np.array(lower_bound).astype(float)
@@ -650,7 +650,7 @@ def from_additive_space(
 
     References
     ----------
-    :cite:cts:`sdba-alavoine_distinct_2022`.
+    :cite:cts:`alavoine_distinct_2022`.
     """
     if trans is None and lower_bound is None and units is None:
         try:

diff --git a/src/xsdba/utils.py b/src/xsdba/utils.py
@@ -642,7 +642,7 @@ def best_pc_orientation_simple(
 
     References
     ----------
-    :cite:cts:`sdba-hnilica_multisite_2017`
+    :cite:cts:`hnilica_multisite_2017`
     """
     m = R.shape[0]
     P = np.diag(val * np.ones(m))
@@ -691,7 +691,7 @@ def best_pc_orientation_full(
 
     References
     ----------
-    :cite:cts:`sdba-alavoine_distinct_2022`
+    :cite:cts:`alavoine_distinct_2022`
 
     See Also
     --------
@@ -735,7 +735,7 @@ def get_clusters_1d(
 
     References
     ----------
-    `getcluster` of Extremes.jl (:cite:cts:`sdba-jalbert_extreme_2022`).
+    `getcluster` of Extremes.jl (:cite:cts:`jalbert_extreme_2022`).
     """
     # Boolean array, True where data is over u2
     # We pad with values under u2, so that clusters never start or end at boundaries.
@@ -876,7 +876,7 @@ def rand_rot_matrix(
 
     References
     ----------
-    :cite:cts:`sdba-mezzadri_how_2007`
+    :cite:cts:`mezzadri_how_2007`
     """
     if num > 1:
         return xr.concat([rand_rot_matrix(crd, num=1) for i in range(num)], "matrices")
@@ -971,7 +971,7 @@ def bin_width_estimator(X):
 
     References
     ----------
-    :cite:cts:`sdba-robin_2021`
+    :cite:cts:`robin_2021`
     """
     if isinstance(X, list):
         return np.min([bin_width_estimator(x) for x in X], axis=0)
@@ -1019,7 +1019,7 @@ def optimal_transport(gridX, gridY, muX, muY, num_iter_max, normalization):
 
     References
     ----------
-    :cite:cts:`sdba-robin_2021`
+    :cite:cts:`robin_2021`
     """
     try:
         from ot import emd  # pylint: disable=import-outside-toplevel
@@ -1060,7 +1060,7 @@ def eps_cholesky(M, nit=26):
 
     References
     ----------
-    :cite:cts:`sdba-robin_2021,sdba-higham_1988,sdba-knol_1989`
+    :cite:cts:`robin_2021,sdba-higham_1988,sdba-knol_1989`
     """
     MC = None
     try: