fixed import order; using @settings(deadline=None) now; dates with year < 1000 not processig in _parse_delimited_date now

Author: anmyachev

pandas/_libs/tslibs/parsing.pyx

@@ -126,7 +126,7 @@ cdef inline object _parse_delimited_date(object date_string, bint dayfirst):
     else:
         return None, None
 
-    if month < 0 or day < 0 or year < 0:
+    if month < 0 or day < 0 or year < 1000:
         # some part is not an integer, so
         # date_string can't be converted to date, above format
         return None, None

pandas/tests/io/parser/test_parse_dates.py

@@ -9,7 +9,7 @@
 from io import StringIO
 
 from dateutil.parser import parse as du_parse
-from hypothesis import given, strategies as st
+from hypothesis import given, settings, strategies as st
 from dateutil.parser import parse
 import numpy as np
 import pytest
@@ -18,7 +18,7 @@
 from pandas._libs.tslib import Timestamp
 from pandas._libs.tslibs import parsing
 from pandas._libs.tslibs.parsing import parse_datetime_string
-from pandas.compat import lrange, parse_date, is_platform_windows
+from pandas.compat import is_platform_windows, lrange
 from pandas.compat.numpy import np_array_datetime64_compat
 
 import pandas as pd
@@ -909,6 +909,7 @@ def _helper_hypothesis_delimited_date(call, date_string, **kwargs):
 
 
 @given(date_strategy)
+@settings(deadline=None)
 @pytest.mark.parametrize("delimiter", list(" -./"))
 @pytest.mark.parametrize("dayfirst", [True, False])
 @pytest.mark.parametrize("date_format", [