scikit-learn
diff --git a/‎sklearn/linear_model/cd_fast.pyx
Lines changed: 2 additions & 2 deletions b/‎sklearn/linear_model/cd_fast.pyx
Lines changed: 2 additions & 2 deletions
diff --git a/‎sklearn/tree/_utils.pyx
Lines changed: 3 additions & 3 deletions b/‎sklearn/tree/_utils.pyx
Lines changed: 3 additions & 3 deletions
diff --git a/‎sklearn/utils/seq_dataset.pyx.tp
Lines changed: 3 additions & 3 deletions b/‎sklearn/utils/seq_dataset.pyx.tp
Lines changed: 3 additions & 3 deletions
@@ -24,7 +24,7 @@ from ..utils._cython_blas cimport (_axpy, _dot, _asum, _ger, _gemv, _nrm2,
 from ..utils._cython_blas cimport RowMajor, ColMajor, Trans, NoTrans
 
 
-from ..utils cimport _random
+from ..utils._random cimport our_rand_r
 
 ctypedef np.float64_t DOUBLE
 ctypedef np.uint32_t UINT32_t
@@ -42,7 +42,7 @@ cdef enum:
 
 cdef inline UINT32_t rand_int(UINT32_t end, UINT32_t* random_state) nogil:
     """Generate a random integer in [0; end)."""
-    return _random.our_rand_r(random_state) % end
+    return our_rand_r(random_state) % end
 
 
 cdef inline floating fmax(floating x, floating y) nogil:
 
@@ -20,7 +20,7 @@ import numpy as np
 cimport numpy as np
 np.import_array()
 
-from ..utils cimport _random
+from ..utils._random cimport our_rand_r
 
 # =============================================================================
 # Helper functions
@@ -64,13 +64,13 @@ cdef inline np.ndarray sizet_ptr_to_ndarray(SIZE_t* data, SIZE_t size):
 cdef inline SIZE_t rand_int(SIZE_t low, SIZE_t high,
                             UINT32_t* random_state) nogil:
     """Generate a random integer in [low; end)."""
-    return low + _random.our_rand_r(random_state) % (high - low)
+    return low + our_rand_r(random_state) % (high - low)
 
 
 cdef inline double rand_uniform(double low, double high,
                                 UINT32_t* random_state) nogil:
     """Generate a random double in [low; high)."""
-    return ((high - low) * <double> _random.our_rand_r(random_state) /
+    return ((high - low) * <double> our_rand_r(random_state) /
             <double> RAND_R_MAX) + low
 
 
 
@@ -45,7 +45,7 @@ import numpy as np
 
 np.import_array()
 
-from . cimport _random
+from ._random cimport our_rand_r
 
 cdef class SequentialDataset{{name}}:
     """Base class for datasets with sequential data access.
@@ -155,7 +155,7 @@ cdef class SequentialDataset{{name}}:
         cdef int n = self.n_samples
         cdef unsigned i, j
         for i in range(n - 1):
-            j = i + _random.our_rand_r(&seed) % (n - i)
+            j = i + our_rand_r(&seed) % (n - i)
             ind[i], ind[j] = ind[j], ind[i]
 
     cdef int _get_next_index(self) nogil:
@@ -169,7 +169,7 @@ cdef class SequentialDataset{{name}}:
 
     cdef int _get_random_index(self) nogil:
         cdef int n = self.n_samples
-        cdef int current_index = _random.our_rand_r(&self.seed) % n
+        cdef int current_index = our_rand_r(&self.seed) % n
         self.current_index = current_index
         return current_index