move one unit test from the standard series of unit test

.local.jenkins.win.yml

@@ -14,6 +14,7 @@ install:
   - pip freeze > pip_freeze.txt
 script:
   - { CMD: "python -X faulthandler -X showrefcount -u setup.py unittests", NAME: "UT" }
+  - { CMD: "python -X faulthandler -X showrefcount -u setup.py unittests_LONG", NAME: "UT_LONG"}
 after_script:
   - python setup.py bdist_wheel
   - if [ ${DIST} != "conda" and ${VERSION} == "3.5" and ${NAME} == "UT" ] then copy dist\*.whl ..\..\local_pypi\local_pypi_server fi

_unittests/ut_finance/test_LONG_stock_file.py

@@ -0,0 +1,93 @@
+"""
+@brief      test log(time=3s)
+"""
+
+
+import sys
+import os
+import unittest
+import datetime
+import warnings
+
+
+try:
+    import src
+    import pyquickhelper as skip_
+except ImportError:
+    path = os.path.normpath(
+        os.path.abspath(
+            os.path.join(
+                os.path.split(__file__)[0],
+                "..",
+                "..")))
+    if path not in sys.path:
+        sys.path.append(path)
+    path = os.path.normpath(
+        os.path.abspath(
+            os.path.join(
+                os.path.split(__file__)[0],
+                "..",
+                "..",
+                "..",
+                "pyquickhelper",
+                "src")))
+    if path not in sys.path:
+        sys.path.append(path)
+    import src
+    import pyquickhelper as skip_
+
+from pyquickhelper.loghelper import fLOG
+from pyquickhelper.pycode import is_travis_or_appveyor
+from src.pyensae.finance.astock import StockPrices
+
+
+class TestLONGStockFile (unittest.TestCase):
+
+    def test_save_stock_google(self):
+        fLOG(
+            __file__,
+            self._testMethodName,
+            OutputPrint=__name__ == "__main__")
+        cache = os.path.abspath(os.path.split(__file__)[0])
+        cache = os.path.join(cache, "temp_cache_file_google")
+        name = os.path.join(cache, "NASDAQ_GOOG.2000-01-03.2014-01-15.txt")
+        if os.path.exists(name):
+            os.remove(name)
+
+        try:
+            stock = StockPrices(
+                "NASDAQ:GOOG",
+                url="google",
+                folder=cache,
+                end=datetime.datetime(
+                    2014,
+                    1,
+                    15))
+        except ImportError as e:
+            # There is an issue with pandas_datareader on travis.
+            # Not up to date with the latest pandas.
+            if is_travis_or_appveyor():
+                warnings.warn(
+                    "Probably an issue with pandas_datareader.\n" + str(e))
+                return
+            else:
+                raise e
+
+        file = os.path.join(cache, "save.txt")
+        if os.path.exists(file):
+            os.remove(file)
+        stock.to_csv(file)
+        assert os.path.exists(file)
+
+        stock2 = StockPrices(file, sep="\t")
+        assert stock.dataframe.shape == stock2.dataframe.shape
+        df = stock2.dataframe
+        file = os.path.join(cache, "out_excel.xlsx")
+        if os.path.exists(file):
+            os.remove(file)
+        df.to_excel(file)
+        assert os.path.exists(file)
+
+
+if __name__ == "__main__":
+    unittest.main()

_unittests/ut_finance/test_stock_file.py

@@ -7,7 +7,6 @@
 import os
 import unittest
 import datetime
-import warnings
 
 
 try:
@@ -37,7 +36,6 @@
     import pyquickhelper as skip_
 
 from pyquickhelper.loghelper import fLOG
-from pyquickhelper.pycode import is_travis_or_appveyor
 from src.pyensae.finance.astock import StockPrices
 
 
@@ -77,51 +75,6 @@ def test_save_stock(self):
         df.to_excel(file)
         assert os.path.exists(file)
 
-    def test_save_stock_google(self):
-        fLOG(
-            __file__,
-            self._testMethodName,
-            OutputPrint=__name__ == "__main__")
-        cache = os.path.abspath(os.path.split(__file__)[0])
-        cache = os.path.join(cache, "temp_cache_file_google")
-        name = os.path.join(cache, "NASDAQ_GOOG.2000-01-03.2014-01-15.txt")
-        if os.path.exists(name):
-            os.remove(name)
-
-        try:
-            stock = StockPrices(
-                "NASDAQ:GOOG",
-                url="google",
-                folder=cache,
-                end=datetime.datetime(
-                    2014,
-                    1,
-                    15))
-        except ImportError as e:
-            # There is an issue with pandas_datareader on travis.
-            # Not up to date with the latest pandas.
-            if is_travis_or_appveyor():
-                warnings.warn(
-                    "Probably an issue with pandas_datareader.\n" + str(e))
-                return
-            else:
-                raise e
-
-        file = os.path.join(cache, "save.txt")
-        if os.path.exists(file):
-            os.remove(file)
-        stock.to_csv(file)
-        assert os.path.exists(file)
-
-        stock2 = StockPrices(file, sep="\t")
-        assert stock.dataframe.shape == stock2.dataframe.shape
-        df = stock2.dataframe
-        file = os.path.join(cache, "out_excel.xlsx")
-        if os.path.exists(file):
-            os.remove(file)
-        df.to_excel(file)
-        assert os.path.exists(file)
-
 
 if __name__ == "__main__":
     unittest.main()