Fix ceil, floor and round pytests (#13218)

A fix for pandas-dev/pandas#52761 has been merged by @mroeschke , this PR xfails the pytests conditionally for `2.0.0` and passes for rest of the versions.

This PR fixes 27 pytests: 
```
= 404 failed, 88221 passed, 2044 skipped, 959 xfailed, 165 xpassed in 442.21s (0:07:22) =
```

On `pandas_2.0_feature_branch`:
```
= 431 failed, 88221 passed, 2044 skipped, 932 xfailed, 165 xpassed in 456.25s (0:07:36) =
```

Author: galipremsagar

python/cudf/cudf/core/_compat.py

@@ -9,4 +9,5 @@
 PANDAS_LT_140 = PANDAS_VERSION < version.parse("1.4.0")
 PANDAS_GE_150 = PANDAS_VERSION >= version.parse("1.5.0")
 PANDAS_LT_153 = PANDAS_VERSION < version.parse("1.5.3")
+PANDAS_EQ_200 = PANDAS_VERSION == version.parse("2.0.0")
 PANDAS_GE_200 = PANDAS_VERSION >= version.parse("2.0.0")

python/cudf/cudf/tests/test_datetime.py

@@ -13,7 +13,7 @@
 import warnings
 import cudf.testing.dataset_generator as dataset_generator
 from cudf import DataFrame, Series
-from cudf.core._compat import PANDAS_GE_150, PANDAS_LT_140
+from cudf.core._compat import PANDAS_GE_150, PANDAS_LT_140, PANDAS_EQ_200
 from cudf.core.index import DatetimeIndex
 from cudf.testing._utils import (
     DATETIME_TYPES,
@@ -1906,8 +1906,22 @@ def test_error_values():
 @pytest.mark.parametrize(
     "resolution", ["D", "H", "T", "min", "S", "L", "ms", "U", "us", "N"]
 )
-def test_ceil(data, time_type, resolution):
-
+def test_ceil(request, data, time_type, resolution):
+    alias_map = {"L": "ms", "U": "us", "N": "ns"}
+    request.applymarker(
+        pytest.mark.xfail(
+            condition=(
+                PANDAS_EQ_200
+                and resolution in {"L", "ms", "U", "us", "N"}
+                and np.dtype(
+                    f"datetime64[{alias_map.get(resolution, resolution)}]"
+                )
+                > np.dtype(time_type)
+            ),
+            reason="https://github.com/pandas-dev/pandas/issues/52761",
+            strict=True,
+        )
+    )
     gs = cudf.Series(data, dtype=time_type)
     ps = gs.to_pandas()
 
@@ -1937,7 +1951,22 @@ def test_ceil(data, time_type, resolution):
 @pytest.mark.parametrize(
     "resolution", ["D", "H", "T", "min", "S", "L", "ms", "U", "us", "N"]
 )
-def test_floor(data, time_type, resolution):
+def test_floor(request, data, time_type, resolution):
+    alias_map = {"L": "ms", "U": "us", "N": "ns"}
+    request.applymarker(
+        pytest.mark.xfail(
+            condition=(
+                PANDAS_EQ_200
+                and resolution in {"L", "ms", "U", "us", "N"}
+                and np.dtype(
+                    f"datetime64[{alias_map.get(resolution, resolution)}]"
+                )
+                > np.dtype(time_type)
+            ),
+            reason="https://github.com/pandas-dev/pandas/issues/52761",
+            strict=True,
+        )
+    )
 
     gs = cudf.Series(data, dtype=time_type)
     ps = gs.to_pandas()
@@ -1968,7 +1997,22 @@ def test_floor(data, time_type, resolution):
 @pytest.mark.parametrize(
     "resolution", ["D", "H", "T", "min", "S", "L", "ms", "U", "us", "N"]
 )
-def test_round(data, time_type, resolution):
+def test_round(request, data, time_type, resolution):
+    alias_map = {"L": "ms", "U": "us", "N": "ns"}
+    request.applymarker(
+        pytest.mark.xfail(
+            condition=(
+                PANDAS_EQ_200
+                and resolution in {"L", "ms", "U", "us", "N"}
+                and np.dtype(
+                    f"datetime64[{alias_map.get(resolution, resolution)}]"
+                )
+                > np.dtype(time_type)
+            ),
+            reason="https://github.com/pandas-dev/pandas/issues/52761",
+            strict=True,
+        )
+    )
 
     gs = cudf.Series(data, dtype=time_type)
     ps = gs.to_pandas()