update python version (#1868)

* update python version

* fix: Correct selector handling and add time filtering in storage.py

* fix: convert index and columns to list in repr methods

* feat: Add Makefile for managing project prerequisites

* feat: Add Cython extensions for rolling and expanding operations

* resolve install error

* fix lint error

* fix lint error

* fix lint error

* fix lint error

* fix lint error

* update build package

* update makefile

* update ci yaml

* fix docs build error

* fix ubuntu install error

* fix docs build error

* fix install error

* fix install error

* fix install error

* fix install error

* fix pylint error

* fix pylint error

* fix pylint error

* fix pylint error

* fix pylint error E1123

* fix pylint error R0917

* fix pytest error

* fix pytest error

* fix pytest error

* update code

* update code

* fix ci error

* fix pylint error

* fix black error

* fix pytest error

* fix CI error

* fix CI error

* add python version to CI

* add python version to CI

* add python version to CI

* fix pylint error

* fix pytest general nn error

* fix CI error

* optimize code

* add coments

* Extended macos version

* remove build package

---------

Co-authored-by: Young <afe.young@gmail.com>

tests/data_mid_layer_tests/test_dataloader.py

@@ -16,7 +16,7 @@ from qlib.data import D
 class TestDataLoader(unittest.TestCase):
 
     def test_nested_data_loader(self):
-        qlib.init()
+        qlib.init(kernels=1)
         nd = NestedDataLoader(
             dataloader_l=[
                 {
@@ -30,7 +30,7 @@ class TestDataLoader(unittest.TestCase):
         )
         # Of course you can use StaticDataLoader
 
-        dataset = nd.load()
+        dataset = nd.load(start_time="2020-01-01", end_time="2020-01-31")
 
         assert dataset is not None
 

tests/dependency_tests/test_mlflow.py

@@ -1,6 +1,7 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT License.
 import unittest
+import platform
 import mlflow
 import time
 from pathlib import Path
@@ -26,7 +27,10 @@ class MLflowTest(unittest.TestCase):
             _ = mlflow.tracking.MlflowClient(tracking_uri=str(self.TMP_PATH))
         end = time.time()
         elapsed = end - start
-        self.assertLess(elapsed, 1e-2)  # it can be done in less than 10ms
+        if platform.system() == "Linux":
+            self.assertLess(elapsed, 1e-2)  # it can be done in less than 10ms
+        else:
+            self.assertLess(elapsed, 2e-2)
         print(elapsed)
 
 

tests/misc/test_index_data.py

@@ -70,7 +70,7 @@ class IndexDataTest(unittest.TestCase):
         print(sd.loc[:"c"])
 
     def test_corner_cases(self):
-        sd = idd.MultiData([[1, 2], [3, np.NaN]], index=["foo", "bar"], columns=["f", "g"])
+        sd = idd.MultiData([[1, 2], [3, np.nan]], index=["foo", "bar"], columns=["f", "g"])
         print(sd)
 
         self.assertTrue(np.isnan(sd.loc["bar", "g"]))

tests/model/test_general_nn.py

@@ -50,6 +50,8 @@ class TestNN(TestAutoData):
         model_l = [
             GeneralPTNN(
                 n_epochs=2,
+                batch_size=32,
+                n_jobs=0,
                 pt_model_uri="qlib.contrib.model.pytorch_gru_ts.GRUModel",
                 pt_model_kwargs={
                     "d_feat": 3,
@@ -60,6 +62,8 @@ class TestNN(TestAutoData):
             ),
             GeneralPTNN(
                 n_epochs=2,
+                batch_size=32,
+                n_jobs=0,
                 pt_model_uri="qlib.contrib.model.pytorch_nn.Net",  # it is a MLP
                 pt_model_kwargs={
                     "input_dim": 3,

tests/test_pit.py

@@ -8,7 +8,6 @@ import shutil
 import unittest
 import pytest
 import pandas as pd
-import baostock as bs
 from pathlib import Path
 
 from qlib.data import D