Move tests that dont belong in test_offsets (#18747)

pandas/tests/scalar/test_parsing.py

@@ -7,11 +7,51 @@
 import pytest
 from dateutil.parser import parse
 
+import pandas as pd
 import pandas.util._test_decorators as td
 from pandas.conftest import is_dateutil_le_261, is_dateutil_gt_261
 from pandas import compat
 from pandas.util import testing as tm
 from pandas._libs.tslibs import parsing
+from pandas._libs.tslibs.parsing import parse_time_string
+
+
+def test_to_datetime1():
+    actual = pd.to_datetime(datetime(2008, 1, 15))
+    assert actual == datetime(2008, 1, 15)
+
+    actual = pd.to_datetime('20080115')
+    assert actual == datetime(2008, 1, 15)
+
+    # unparseable
+    s = 'Month 1, 1999'
+    assert pd.to_datetime(s, errors='ignore') == s
+
+
+class TestParseQuarters(object):
+
+    def test_parse_time_string(self):
+        (date, parsed, reso) = parse_time_string('4Q1984')
+        (date_lower, parsed_lower, reso_lower) = parse_time_string('4q1984')
+        assert date == date_lower
+        assert parsed == parsed_lower
+        assert reso == reso_lower
+
+    def test_parse_time_quarter_w_dash(self):
+        # https://github.com/pandas-dev/pandas/issue/9688
+        pairs = [('1988-Q2', '1988Q2'), ('2Q-1988', '2Q1988')]
+
+        for dashed, normal in pairs:
+            (date_dash, parsed_dash, reso_dash) = parse_time_string(dashed)
+            (date, parsed, reso) = parse_time_string(normal)
+
+            assert date_dash == date
+            assert parsed_dash == parsed
+            assert reso_dash == reso
+
+        pytest.raises(parsing.DateParseError, parse_time_string, "-2Q1992")
+        pytest.raises(parsing.DateParseError, parse_time_string, "2-Q1992")
+        pytest.raises(parsing.DateParseError, parse_time_string, "4-4Q1992")
 
 
 class TestDatetimeParsingWrappers(object):

pandas/tests/tseries/offsets/test_offsets.py

@@ -29,9 +29,7 @@
                                     QuarterEnd, BusinessMonthEnd, FY5253,
                                     Nano, Easter, FY5253Quarter,
                                     LastWeekOfMonth)
-from pandas.core.tools.datetimes import (
-    format, ole2datetime, parse_time_string,
-    to_datetime, DateParseError)
+from pandas.core.tools.datetimes import format, ole2datetime
 import pandas.tseries.offsets as offsets
 from pandas.io.pickle import read_pickle
 from pandas._libs.tslibs import timezones
@@ -67,18 +65,6 @@ def test_ole2datetime():
         ole2datetime(60)
 
 
-def test_to_datetime1():
-    actual = to_datetime(datetime(2008, 1, 15))
-    assert actual == datetime(2008, 1, 15)
-
-    actual = to_datetime('20080115')
-    assert actual == datetime(2008, 1, 15)
-
-    # unparseable
-    s = 'Month 1, 1999'
-    assert to_datetime(s, errors='ignore') == s
-
-
 def test_normalize_date():
     actual = normalize_date(datetime(2007, 10, 1, 1, 12, 5, 10))
     assert actual == datetime(2007, 10, 1)
@@ -2800,32 +2786,6 @@ def test_get_offset_legacy():
             get_offset(name)
 
 
-class TestParseTimeString(object):
-
-    def test_parse_time_string(self):
-        (date, parsed, reso) = parse_time_string('4Q1984')
-        (date_lower, parsed_lower, reso_lower) = parse_time_string('4q1984')
-        assert date == date_lower
-        assert parsed == parsed_lower
-        assert reso == reso_lower
-
-    def test_parse_time_quarter_w_dash(self):
-        # https://github.com/pandas-dev/pandas/issue/9688
-        pairs = [('1988-Q2', '1988Q2'), ('2Q-1988', '2Q1988'), ]
-
-        for dashed, normal in pairs:
-            (date_dash, parsed_dash, reso_dash) = parse_time_string(dashed)
-            (date, parsed, reso) = parse_time_string(normal)
-
-            assert date_dash == date
-            assert parsed_dash == parsed
-            assert reso_dash == reso
-
-        pytest.raises(DateParseError, parse_time_string, "-2Q1992")
-        pytest.raises(DateParseError, parse_time_string, "2-Q1992")
-        pytest.raises(DateParseError, parse_time_string, "4-4Q1992")
-
-
 def test_get_standard_freq():
     with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
         fstr = get_standard_freq('W')