imblearn/base.py

Survived

Mutant 44

--- imblearn/base.py
+++ imblearn/base.py
@@ -24,7 +24,7 @@
     instead.
     """
 
-    _estimator_type = "sampler"
+    _estimator_type = "XXsamplerXX"
 
     def fit(self, X, y):
         """Check inputs and statistics of the sampler.

Mutant 45

--- imblearn/base.py
+++ imblearn/base.py
@@ -24,7 +24,7 @@
     instead.
     """
 
-    _estimator_type = "sampler"
+    _estimator_type = None
 
     def fit(self, X, y):
         """Check inputs and statistics of the sampler.

Mutant 56

--- imblearn/base.py
+++ imblearn/base.py
@@ -86,7 +86,7 @@
               if binarize_y else output[1])
 
         X_, y_ = arrays_transformer.transform(output[0], y_)
-        return (X_, y_) if len(output) == 2 else (X_, y_, output[2])
+        return (X_, y_) if len(output) == 2 else (X_, y_, output[3])
 
     #  define an alias for back-compatibility
     fit_sample = fit_resample

Mutant 57

--- imblearn/base.py
+++ imblearn/base.py
@@ -89,7 +89,7 @@
         return (X_, y_) if len(output) == 2 else (X_, y_, output[2])
 
     #  define an alias for back-compatibility
-    fit_sample = fit_resample
+    fit_sample = None
 
     @abstractmethod
     def _fit_resample(self, X, y):

Mutant 58

--- imblearn/base.py
+++ imblearn/base.py
@@ -91,7 +91,6 @@
     #  define an alias for back-compatibility
     fit_sample = fit_resample
 
-    @abstractmethod
     def _fit_resample(self, X, y):
         """Base method defined in each sampler to defined the sampling
         strategy.

Mutant 59

--- imblearn/base.py
+++ imblearn/base.py
@@ -124,7 +124,7 @@
     instead.
     """
 
-    def __init__(self, sampling_strategy="auto"):
+    def __init__(self, sampling_strategy="XXautoXX"):
         self.sampling_strategy = sampling_strategy
 
     def _check_X_y(self, X, y, accept_sparse=None):

Mutant 61

--- imblearn/base.py
+++ imblearn/base.py
@@ -212,7 +212,7 @@
     Resampled dataset shape [(0, 100), (1, 100)]
     """
 
-    _sampling_type = "bypass"
+    _sampling_type = "XXbypassXX"
 
     @_deprecate_positional_args
     def __init__(self, *, func=None, accept_sparse=True, kw_args=None,

Mutant 62

--- imblearn/base.py
+++ imblearn/base.py
@@ -212,7 +212,7 @@
     Resampled dataset shape [(0, 100), (1, 100)]
     """
 
-    _sampling_type = "bypass"
+    _sampling_type = None
 
     @_deprecate_positional_args
     def __init__(self, *, func=None, accept_sparse=True, kw_args=None,

Mutant 63

--- imblearn/base.py
+++ imblearn/base.py
@@ -214,7 +214,6 @@
 
     _sampling_type = "bypass"
 
-    @_deprecate_positional_args
     def __init__(self, *, func=None, accept_sparse=True, kw_args=None,
                  validate=True):
         super().__init__()

Mutant 64

--- imblearn/base.py
+++ imblearn/base.py
@@ -215,7 +215,7 @@
     _sampling_type = "bypass"
 
     @_deprecate_positional_args
-    def __init__(self, *, func=None, accept_sparse=True, kw_args=None,
+    def __init__(self, *, func=None, accept_sparse=False, kw_args=None,
                  validate=True):
         super().__init__()
         self.func = func

Mutant 65

--- imblearn/base.py
+++ imblearn/base.py
@@ -216,7 +216,7 @@
 
     @_deprecate_positional_args
     def __init__(self, *, func=None, accept_sparse=True, kw_args=None,
-                 validate=True):
+                 validate=False):
         super().__init__()
         self.func = func
         self.accept_sparse = accept_sparse