REF: Remove Numba compat pre 0.50.1 (pandas-dev#43266)

* CLN: Pre Numba 0.46.0 compat

* Remove other unneeded min references

Author: mroeschke

pandas/core/util/numba_.py

@@ -9,8 +9,6 @@
 from pandas.compat._optional import import_optional_dependency
 from pandas.errors import NumbaUtilError
 
-from pandas.util.version import Version
-
 GLOBAL_USE_NUMBA: bool = False
 NUMBA_FUNC_CACHE: dict[tuple[Callable, str], Callable] = {}
 
@@ -87,12 +85,7 @@ def jit_user_function(
     """
     numba = import_optional_dependency("numba")
 
-    if Version(numba.__version__) >= Version("0.49.0"):
-        is_jitted = numba.extending.is_jitted(func)
-    else:
-        is_jitted = isinstance(func, numba.targets.registry.CPUDispatcher)
-
-    if is_jitted:
+    if numba.extending.is_jitted(func):
         # Don't jit a user passed jitted function
         numba_func = func
     else:

pandas/tests/frame/test_ufunc.py

@@ -251,7 +251,7 @@ def test_alignment_deprecation():
     tm.assert_frame_equal(result, expected)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_alignment_deprecation_many_inputs():
     # https://github.com/pandas-dev/pandas/issues/39184
     # test that the deprecation also works with > 2 inputs -> using a numba

pandas/tests/groupby/aggregate/test_numba.py

@@ -15,7 +15,7 @@
 from pandas.core.util.numba_ import NUMBA_FUNC_CACHE
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_correct_function_signature():
     def incorrect_function(x):
         return sum(x) * 2.7
@@ -31,7 +31,7 @@ def incorrect_function(x):
         data.groupby("key")["data"].agg(incorrect_function, engine="numba")
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_check_nopython_kwargs():
     def incorrect_function(x, **kwargs):
         return sum(x) * 2.7
@@ -47,7 +47,7 @@ def incorrect_function(x, **kwargs):
         data.groupby("key")["data"].agg(incorrect_function, engine="numba", a=1)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 @pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 @pytest.mark.parametrize("jit", [True, False])
@@ -76,7 +76,7 @@ def func_numba(values, index):
     tm.assert_equal(result, expected)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 @pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 @pytest.mark.parametrize("jit", [True, False])
@@ -121,7 +121,7 @@ def func_2(values, index):
     tm.assert_equal(result, expected)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_use_global_config():
     def func_1(values, index):
         return np.mean(values) - 3.4
@@ -136,7 +136,7 @@ def func_1(values, index):
     tm.assert_frame_equal(expected, result)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 @pytest.mark.parametrize(
     "agg_func",
     [
@@ -158,7 +158,7 @@ def test_multifunc_notimplimented(agg_func):
         grouped[1].agg(agg_func, engine="numba")
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_args_not_cached():
     # GH 41647
     def sum_last(values, index, n):
@@ -175,7 +175,7 @@ def sum_last(values, index, n):
     tm.assert_series_equal(result, expected)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_index_data_correctly_passed():
     # GH 43133
     def f(values, index):

pandas/tests/groupby/transform/test_numba.py

@@ -12,7 +12,7 @@
 from pandas.core.util.numba_ import NUMBA_FUNC_CACHE
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_correct_function_signature():
     def incorrect_function(x):
         return x + 1
@@ -28,7 +28,7 @@ def incorrect_function(x):
         data.groupby("key")["data"].transform(incorrect_function, engine="numba")
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_check_nopython_kwargs():
     def incorrect_function(x, **kwargs):
         return x + 1
@@ -44,7 +44,7 @@ def incorrect_function(x, **kwargs):
         data.groupby("key")["data"].transform(incorrect_function, engine="numba", a=1)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 @pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 @pytest.mark.parametrize("jit", [True, False])
@@ -73,7 +73,7 @@ def func(values, index):
     tm.assert_equal(result, expected)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 @pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 @pytest.mark.parametrize("jit", [True, False])
@@ -118,7 +118,7 @@ def func_2(values, index):
     tm.assert_equal(result, expected)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_use_global_config():
     def func_1(values, index):
         return values + 1
@@ -133,7 +133,7 @@ def func_1(values, index):
     tm.assert_frame_equal(expected, result)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 @pytest.mark.parametrize(
     "agg_func", [["min", "max"], "min", {"B": ["min", "max"], "C": "sum"}]
 )
@@ -149,7 +149,7 @@ def test_multifunc_notimplimented(agg_func):
         grouped[1].transform(agg_func, engine="numba")
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_args_not_cached():
     # GH 41647
     def sum_last(values, index, n):
@@ -166,7 +166,7 @@ def sum_last(values, index, n):
     tm.assert_series_equal(result, expected)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_index_data_correctly_passed():
     # GH 43133
     def f(values, index):

pandas/tests/window/conftest.py

@@ -124,17 +124,15 @@ def ignore_na(request):
     return request.param
 
 
-@pytest.fixture(
-    params=[pytest.param("numba", marks=td.skip_if_no("numba", "0.46.0")), "cython"]
-)
+@pytest.fixture(params=[pytest.param("numba", marks=td.skip_if_no("numba")), "cython"])
 def engine(request):
     """engine keyword argument for rolling.apply"""
     return request.param
 
 
 @pytest.fixture(
     params=[
-        pytest.param(("numba", True), marks=td.skip_if_no("numba", "0.46.0")),
+        pytest.param(("numba", True), marks=td.skip_if_no("numba")),
         ("cython", True),
         ("cython", False),
     ]

pandas/tests/window/test_numba.py

@@ -14,7 +14,7 @@
 from pandas.core.util.numba_ import NUMBA_FUNC_CACHE
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 @pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 class TestEngine:
@@ -150,7 +150,7 @@ def add(values, x):
         tm.assert_frame_equal(result, expected)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 class TestEWMMean:
     @pytest.mark.parametrize(
         "grouper", [lambda x: x, lambda x: x.groupby("A")], ids=["None", "groupby"]
@@ -229,7 +229,7 @@ def test_cython_vs_numba_times(self, grouper, nogil, parallel, nopython, ignore_
         tm.assert_frame_equal(result, expected)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_use_global_config():
     def f(x):
         return np.mean(x) + 2
@@ -241,15 +241,15 @@ def f(x):
     tm.assert_series_equal(expected, result)
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 def test_invalid_kwargs_nopython():
     with pytest.raises(NumbaUtilError, match="numba does not support kwargs with"):
         Series(range(1)).rolling(1).apply(
             lambda x: x, kwargs={"a": 1}, engine="numba", raw=True
         )
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 @pytest.mark.slow
 @pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba

pandas/tests/window/test_online.py

@@ -10,7 +10,7 @@
 import pandas._testing as tm
 
 
-@td.skip_if_no("numba", "0.46.0")
+@td.skip_if_no("numba")
 @pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
 class TestEWM:
     def test_invalid_update(self):