Update requirements.txt (#22)

* Upgrade deps

* bump version

Author: saninstein

.github/workflows/pythonpackage.yml

@@ -4,13 +4,13 @@ on: [push]
 
 jobs:
   checks:
-#    fail-fast: false
     runs-on:  ${{ matrix.os }}
     strategy:
+#      fail-fast: false
       max-parallel: 4
       matrix:
         os: [ubuntu-latest]
-        python-version: [3.7, 3.8, 3.9, 3.10.5]
+        python-version: [3.8, 3.9, '3.10', 3.11]
 
     steps:
     - uses: actions/checkout@master
@@ -20,9 +20,9 @@ jobs:
         python-version: ${{ matrix.python-version }}
     - name: Install dependencies
       run: |
-        python -m pip install --upgrade pip
-        pip install -e .[dev]
-        pip install coveralls
+        python -m pip install --upgrade 'pip<23.0.0' 'setuptools<63.0.0'
+        pip3 install -e .[dev]
+        pip3 install coveralls
     - name: Code flake8 check
       run: |
         flake8

.version

@@ -1 +1 @@
-0.9.8
+0.9.9

numpy_ext.py

@@ -161,7 +161,7 @@ def apply_map(func: Callable[[Any], Any], array: Union[List, np.ndarray]) -> np.
 #############################
 
 
-def nans(shape: Union[int, Tuple[int, ...]], dtype=np.float64) -> np.ndarray:
+def nans(shape: Union[int, Tuple[int, ...]], dtype=float) -> np.ndarray:
     """
     Return a new array of a given shape and type, filled with np.nan values.
 
@@ -187,9 +187,12 @@ def nans(shape: Union[int, Tuple[int, ...]], dtype=np.float64) -> np.ndarray:
     array(['NaT', 'NaT'], dtype=datetime64)
     """
     if np.issubdtype(dtype, np.integer):
-        dtype = np.float
+        dtype = float
     arr = np.empty(shape, dtype=dtype)
-    arr.fill(np.nan)
+    if np.issubdtype(arr.dtype, np.datetime64):
+        arr.fill(np.datetime64('NaT'))
+    else:
+        arr.fill(np.nan)
     return arr
 
 
@@ -292,7 +295,7 @@ def prepend_na(array: np.ndarray, n: int) -> np.ndarray:
         return np.hstack((nans(n), array))
 
     elem = array[0]
-    dtype = np.float64
+    dtype = float
     if hasattr(elem, 'dtype'):
         dtype = elem.dtype
 
@@ -494,7 +497,7 @@ def rows_gen():
 
         yield from (array[:i] for i in np.arange(min_periods, array.size + 1))
 
-    return np.array([row for row in rows_gen()]) if as_array else rows_gen()
+    return np.array([row for row in rows_gen()], dtype=object) if as_array else rows_gen()
 
 
 def expanding_apply(
@@ -553,7 +556,7 @@ def expanding_apply(
         raise ValueError('Arrays must be the same length')
 
     def _apply_func_to_arrays(idxs):
-        return func(*[array[idxs.astype(np.int)] for array in arrays], **kwargs)
+        return func(*[array[idxs.astype(int)] for array in arrays], **kwargs)
 
     array = arrays[0]
     rolls = expanding(

requirements.dev.txt

@@ -1,7 +1,7 @@
 flake8~=3.7.9
-pytest>=4.3.0,<=7.12
-pytest-cov>=2.8.1,<=3.0.0
-pandas>=1.3.0,<1.5.0
+pytest>=4.3.0,<8.0.0
+pytest-cov>=2.8.1,<5.0.0
+pandas>=1.3.0,<3.0.0
 numpydoc~=0.9.2
 sphinx~=2.4.4
 Jinja2<3.1

requirements.txt

@@ -1,2 +1,2 @@
-numpy>=1.20.1,<=1.23.1
-joblib>=1.0.1,<1.1.0
+numpy>=1.20.1,<1.30.0
+joblib>=1.0.1,<1.4.0

test.py

@@ -273,7 +273,7 @@ def test_rolling_apply_wrong_window_type(window, apply):
 
 
 @pytest.mark.parametrize(
-    'dtype', [np.float64, np.datetime64, np.int64]
+    'dtype', [float, np.datetime64, int]
 )
 def test_nans_array(dtype):
     arr = npext.nans(5, dtype)
@@ -289,7 +289,7 @@ def test_nans_array(dtype):
             np.array([-1.0, -2.0, -3.5, -5.75, -9.125, -14.1875, -21.78125, -33.171875, -50.2578125, -75.88671875])
         ),
         (
-            dict(start=1, end=100, min_step=1, step_mult=1.5, round_func=lambda a: a.astype(np.int)),
+            dict(start=1, end=100, min_step=1, step_mult=1.5, round_func=lambda a: a.astype(int)),
             np.array([1, 2, 3, 5, 9, 14, 21, 33, 50, 75])
         ),
         (