Pin numpy to get ci back to green (pandas-dev#45179)

environment.yml

@@ -3,7 +3,7 @@ channels:
   - conda-forge
 dependencies:
   # required
-  - numpy>=1.18.5
+  - numpy>=1.18.5, <1.22.0
   - python=3.8
   - python-dateutil>=2.8.1
   - pytz

pandas/compat/numpy/__init__.py

@@ -9,6 +9,7 @@
 np_version_under1p19 = _nlv < Version("1.19")
 np_version_under1p20 = _nlv < Version("1.20")
 np_version_under1p22 = _nlv < Version("1.22")
+np_version_is1p22 = _nlv == Version("1.22")
 is_numpy_dev = _nlv.dev is not None
 _min_numpy_ver = "1.18.5"
 

pandas/tests/frame/test_ufunc.py

@@ -3,6 +3,7 @@
 import numpy as np
 import pytest
 
+from pandas.compat.numpy import np_version_is1p22
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -252,7 +253,7 @@ def test_alignment_deprecation():
 
 
 @td.skip_if_no("numba")
-def test_alignment_deprecation_many_inputs():
+def test_alignment_deprecation_many_inputs(request):
     # https://github.com/pandas-dev/pandas/issues/39184
     # test that the deprecation also works with > 2 inputs -> using a numba
     # written ufunc for this because numpy itself doesn't have such ufuncs
@@ -261,6 +262,13 @@ def test_alignment_deprecation_many_inputs():
         vectorize,
     )
 
+    if np_version_is1p22:
+        mark = pytest.mark.xfail(
+            reason="ufunc 'my_ufunc' did not contain a loop with signature matching "
+            "types",
+        )
+        request.node.add_marker(mark)
+
     @vectorize([float64(float64, float64, float64)])
     def my_ufunc(x, y, z):
         return x + y + z

requirements-dev.txt

@@ -1,7 +1,7 @@
 # This file is auto-generated from environment.yml, do not modify.
 # See that file for comments about the need/usage of each dependency.
 
-numpy>=1.18.5
+numpy>=1.18.5, <1.22.0
 python-dateutil>=2.8.1
 pytz
 asv