remove Int/Uint/Float64Index from pandas/tests/indexes/ranges

Author: topper-123

pandas/core/indexes/range.py

@@ -848,7 +848,7 @@ def _concat(self, indexes: list[Index], name: Hashable) -> Index:
                 # First non-empty index had only one element
                 if rng.start == start:
                     values = np.concatenate([x._values for x in rng_indexes])
-                    result = Int64Index(values)
+                    result = self._constructor(values)
                     return result.rename(name)
 
                 step = rng.start - start
@@ -857,7 +857,9 @@ def _concat(self, indexes: list[Index], name: Hashable) -> Index:
                 next_ is not None and rng.start != next_
             )
             if non_consecutive:
-                result = Int64Index(np.concatenate([x._values for x in rng_indexes]))
+                result = self._constructor(
+                    np.concatenate([x._values for x in rng_indexes])
+                )
                 return result.rename(name)
 
             if step is not None:
@@ -905,7 +907,6 @@ def __getitem__(self, key):
                 "and integer or boolean "
                 "arrays are valid indices"
             )
-        # fall back to Int64Index
         return super().__getitem__(key)
 
     def _getitem_slice(self: RangeIndex, slobj: slice) -> RangeIndex:
@@ -1010,15 +1011,14 @@ def _arith_method(self, other, op):
             res_name = ops.get_op_result_name(self, other)
             result = type(self)(rstart, rstop, rstep, name=res_name)
 
-            # for compat with numpy / Int64Index
+            # for compat with numpy / Index with int64 dtype
             # even if we can represent as a RangeIndex, return
-            # as a Float64Index if we have float-like descriptors
+            # as a float64 Index if we have float-like descriptors
             if not all(is_integer(x) for x in [rstart, rstop, rstep]):
                 result = result.astype("float64")
 
             return result
 
         except (ValueError, TypeError, ZeroDivisionError):
-            # Defer to Int64Index implementation
             # test_arithmetic_explicit_conversions
             return super()._arith_method(other, op)

pandas/tests/indexes/ranges/test_range.py

@@ -4,20 +4,15 @@
 from pandas.core.dtypes.common import ensure_platform_int
 
 import pandas as pd
-import pandas._testing as tm
-from pandas.core.indexes.api import (
-    Float64Index,
+from pandas import (
     Index,
-    Int64Index,
     RangeIndex,
 )
+import pandas._testing as tm
 from pandas.tests.indexes.common import NumericBase
 
 # aliases to make some tests easier to read
 RI = RangeIndex
-I64 = Int64Index
-F64 = Float64Index
-OI = Index
 
 
 class TestRangeIndex(NumericBase):
@@ -111,7 +106,7 @@ def test_insert(self):
         tm.assert_index_equal(idx[0:4], result.insert(0, idx[0]), exact="equiv")
 
         # GH 18295 (test missing)
-        expected = Float64Index([0, np.nan, 1, 2, 3, 4])
+        expected = Index([0, np.nan, 1, 2, 3, 4], dtype=np.float64)
         for na in [np.nan, None, pd.NA]:
             result = RangeIndex(5).insert(1, na)
             tm.assert_index_equal(result, expected)
@@ -379,7 +374,7 @@ def test_nbytes(self):
 
         # memory savings vs int index
         idx = RangeIndex(0, 1000)
-        assert idx.nbytes < Int64Index(idx._values).nbytes / 10
+        assert idx.nbytes < Index(idx._values).nbytes / 10
 
         # constant memory usage
         i2 = RangeIndex(0, 10)
@@ -530,16 +525,16 @@ def test_len_specialised(self, step):
             ([RI(-4, -8), RI(-8, -12)], RI(0, 0)),
             ([RI(-4, -8), RI(3, -4)], RI(0, 0)),
             ([RI(-4, -8), RI(3, 5)], RI(3, 5)),
-            ([RI(-4, -2), RI(3, 5)], I64([-4, -3, 3, 4])),
+            ([RI(-4, -2), RI(3, 5)], Index([-4, -3, 3, 4])),
             ([RI(-2), RI(3, 5)], RI(3, 5)),
-            ([RI(2), RI(2)], I64([0, 1, 0, 1])),
+            ([RI(2), RI(2)], Index([0, 1, 0, 1])),
             ([RI(2), RI(2, 5), RI(5, 8, 4)], RI(0, 6)),
-            ([RI(2), RI(3, 5), RI(5, 8, 4)], I64([0, 1, 3, 4, 5])),
+            ([RI(2), RI(3, 5), RI(5, 8, 4)], Index([0, 1, 3, 4, 5])),
             ([RI(-2, 2), RI(2, 5), RI(5, 8, 4)], RI(-2, 6)),
-            ([RI(3), OI([-1, 3, 15])], OI([0, 1, 2, -1, 3, 15])),
-            ([RI(3), OI([-1, 3.1, 15.0])], OI([0, 1, 2, -1, 3.1, 15.0])),
-            ([RI(3), OI(["a", None, 14])], OI([0, 1, 2, "a", None, 14])),
-            ([RI(3, 1), OI(["a", None, 14])], OI(["a", None, 14])),
+            ([RI(3), Index([-1, 3, 15])], Index([0, 1, 2, -1, 3, 15])),
+            ([RI(3), Index([-1, 3.1, 15.0])], Index([0, 1, 2, -1, 3.1, 15.0])),
+            ([RI(3), Index(["a", None, 14])], Index([0, 1, 2, "a", None, 14])),
+            ([RI(3, 1), Index(["a", None, 14])], Index(["a", None, 14])),
         ]
     )
     def appends(self, request):