Package updates

requirements.txt

@@ -85,7 +85,8 @@ scipy<=1.5.4; python_version == '3.4'
 scipy<=1.5.4; python_version == '3.5'
 scipy<=1.5.4; python_version == '3.6'
 scipy<=1.7.3; python_version == '3.7'
-scipy<=1.9.3; python_version >= '3.8'
+scipy<=1.10.1; python_version == '3.8'
+scipy; python_version >= '3.9'
 seaborn<=0.9.1; python_version < '3.6'
 seaborn<=0.11.2; python_version == '3.6'
 seaborn; python_version > '3.6'
@@ -104,8 +105,11 @@ strsimpy
 six
 # required for loading plotly
 tenacity<=7.0.0; python_version == '3.6'
+threadpoolctl<=3.1.0; python_version == '3.6'
+threadpoolctl<=3.1.0; python_version == '3.7'
 werkzeug<=1.0.1; python_version <= '3.6'
 werkzeug<2.3; python_version >= '3.7'
 xarray<=0.11.3; python_version < '3.0'
 xarray; python_version >= '3.0'
 xlrd
+zipp<=3.15.0; python_version == '3.6'

tests/arcticdb/test_views.py

@@ -337,8 +337,7 @@ def test_get_arcticdb_libraries(unittest, arcticdb_path, arcticdb):
             load_libs_mock.assert_called_once()
 
     with mock.patch(
-        "dtale.global_state.store._libraries",
-        ["lib{}".format(v) for v in range(501)],
+        "dtale.global_state.store._libraries", ["lib{}".format(v) for v in range(501)]
     ):
         with app.test_client() as c:
             response = c.get("/dtale/arcticdb/libraries")
@@ -388,8 +387,7 @@ def test_get_arcticdb_symbols(unittest, arcticdb_path, arcticdb):
     with ExitStack() as stack:
         stack.enter_context(
             mock.patch(
-                "dtale.global_state.store.load_symbols",
-                mock.Mock(return_value=None),
+                "dtale.global_state.store.load_symbols", mock.Mock(return_value=None)
             )
         )
         stack.enter_context(

tests/data/test_variance.json

@@ -18,7 +18,7 @@
         },
         "jarqueBera": {
             "pvalue": 0.0,
-            "statistic": 176.04166666666663
+            "statistic": 176.0417
         },
         "missingCt": 0,
         "outlierCt": 0,
@@ -47,7 +47,7 @@
         },
         "jarqueBera": {
             "pvalue": 0.0,
-            "statistic": 649480728.9999514
+            "statistic": 649480729.0
         },
         "missingCt": 0,
         "outlierCt": 1,

tests/dtale/test_reshapers.py

@@ -212,8 +212,7 @@ def test_aggregate_str_joiner(unittest):
         build_dtypes(dtypes)
         build_settings(settings)
         reshape_cfg = dict(
-            index="a",
-            agg=dict(type="col", cols={"b": ["count", "str_joiner"]}),
+            index="a", agg=dict(type="col", cols={"b": ["count", "str_joiner"]})
         )
         resp = c.get(
             "/dtale/reshape/{}".format(c.port),

tests/dtale/test_views.py

@@ -317,10 +317,7 @@ def test_startup(unittest):
     )
 
     many_cols = pd.DataFrame({"sec{}".format(v): [1] for v in range(500)})
-    instance = views.startup(
-        URL,
-        data=many_cols,
-    )
+    instance = views.startup(URL, data=many_cols)
     unittest.assertEqual(
         len([v for v in global_state.get_dtypes(instance._data_id) if v["visible"]]),
         100,
@@ -1258,6 +1255,12 @@ def _df():
             expected["x"]["check2"]["val2"]["val"] = 1
         response_data = response.get_json()
         del response_data["code"]
+        response_data["jarqueBera"]["pvalue"] = round(
+            response_data["jarqueBera"]["pvalue"], 4
+        )
+        response_data["jarqueBera"]["statistic"] = round(
+            response_data["jarqueBera"]["statistic"], 4
+        )
         unittest.assertEqual(response_data, expected["x"])
 
         response = c.get(
@@ -1268,6 +1271,9 @@ def _df():
         response_data["shapiroWilk"]["statistic"] = round(
             response_data["shapiroWilk"]["statistic"], 4
         )
+        response_data["jarqueBera"]["statistic"] = round(
+            response_data["jarqueBera"]["statistic"], 4
+        )
         unittest.assertEqual(response_data, expected["low_var"])