CLN: remove unused sparse reindex (pandas-dev#43627)

Author: mzeitlin11

pandas/_libs/sparse.pyx

@@ -229,45 +229,6 @@ cdef class IntIndex(SparseIndex):
         results[mask] = res
         return results
 
-    cpdef ndarray reindex(self, ndarray[float64_t, ndim=1] values,
-                          float64_t fill_value, SparseIndex other_):
-        cdef:
-            Py_ssize_t i = 0, j = 0
-            IntIndex other
-            ndarray[float64_t, ndim=1] result
-            ndarray[int32_t, ndim=1] sinds, oinds
-
-        other = other_.to_int_index()
-
-        oinds = other.indices
-        sinds = self.indices
-
-        result = np.empty(other.npoints, dtype=np.float64)
-        result[:] = fill_value
-
-        for i in range(other.npoints):
-            while oinds[i] > sinds[j] and j < self.npoints:
-                j += 1
-
-            if j == self.npoints:
-                break
-
-            if oinds[i] < sinds[j]:
-                continue
-            elif oinds[i] == sinds[j]:
-                result[i] = values[j]
-                j += 1
-
-        return result
-
-    cpdef put(self, ndarray[float64_t, ndim=1] values,
-              ndarray[int32_t, ndim=1] indices, object to_put):
-        pass
-
-    cpdef take(self, ndarray[float64_t, ndim=1] values,
-               ndarray[int32_t, ndim=1] indices):
-        pass
-
 
 cpdef get_blocks(ndarray[int32_t, ndim=1] indices):
     cdef:
@@ -585,38 +546,6 @@ cdef class BlockIndex(SparseIndex):
                     cum_len += lens[j]
         return results
 
-    cpdef ndarray reindex(self, ndarray[float64_t, ndim=1] values,
-                          float64_t fill_value, SparseIndex other_):
-        cdef:
-            Py_ssize_t i = 0, j = 0, ocur, ocurlen
-            BlockIndex other
-            ndarray[float64_t, ndim=1] result
-            ndarray[int32_t, ndim=1] slocs, slens, olocs, olens
-
-        other = other_.to_block_index()
-
-        olocs = other.blocs
-        olens = other.blengths
-        slocs = self.blocs
-        slens = self.blengths
-
-        result = np.empty(other.npoints, dtype=np.float64)
-
-        for i in range(other.nblocks):
-            ocur = olocs[i]
-            ocurlen = olens[i]
-
-            while slocs[j] + slens[j] < ocur:
-                j += 1
-
-    cpdef put(self, ndarray[float64_t, ndim=1] values,
-              ndarray[int32_t, ndim=1] indices, object to_put):
-        pass
-
-    cpdef take(self, ndarray[float64_t, ndim=1] values,
-               ndarray[int32_t, ndim=1] indices):
-        pass
-
 
 @cython.internal
 cdef class BlockMerge: