Revert "TST: insert 'match' to bare pytest raises in pandas/tests/tools/test_to_datetime.py (pandas-dev#37027)"

This reverts commit 05a4eef

Author: hongshaoyang

pandas/tests/tools/test_to_datetime.py

@@ -349,9 +349,7 @@ def test_to_datetime_parse_tzname_or_tzoffset_different_tz_to_utc(self):
     def test_to_datetime_parse_timezone_malformed(self, offset):
         fmt = "%Y-%m-%d %H:%M:%S %z"
         date = "2010-01-01 12:00:00 " + offset
-
-        msg = "does not match format|unconverted data remains"
-        with pytest.raises(ValueError, match=msg):
+        with pytest.raises(ValueError):
             pd.to_datetime([date], format=fmt)
 
     def test_to_datetime_parse_timezone_keeps_name(self):
@@ -786,19 +784,17 @@ def test_to_datetime_tz_psycopg2(self, cache):
     @pytest.mark.parametrize("cache", [True, False])
     def test_datetime_bool(self, cache):
         # GH13176
-        msg = r"dtype bool cannot be converted to datetime64\[ns\]"
-        with pytest.raises(TypeError, match=msg):
+        with pytest.raises(TypeError):
             to_datetime(False)
         assert to_datetime(False, errors="coerce", cache=cache) is NaT
         assert to_datetime(False, errors="ignore", cache=cache) is False
-        with pytest.raises(TypeError, match=msg):
+        with pytest.raises(TypeError):
             to_datetime(True)
         assert to_datetime(True, errors="coerce", cache=cache) is NaT
         assert to_datetime(True, errors="ignore", cache=cache) is True
-        msg = f"{type(cache)} is not convertible to datetime"
-        with pytest.raises(TypeError, match=msg):
+        with pytest.raises(TypeError):
             to_datetime([False, datetime.today()], cache=cache)
-        with pytest.raises(TypeError, match=msg):
+        with pytest.raises(TypeError):
             to_datetime(["20130101", True], cache=cache)
         tm.assert_index_equal(
             to_datetime([0, False, NaT, 0.0], errors="coerce", cache=cache),
@@ -809,10 +805,10 @@ def test_datetime_bool(self, cache):
 
     def test_datetime_invalid_datatype(self):
         # GH13176
-        msg = "is not convertible to datetime"
-        with pytest.raises(TypeError, match=msg):
+
+        with pytest.raises(TypeError):
             pd.to_datetime(bool)
-        with pytest.raises(TypeError, match=msg):
+        with pytest.raises(TypeError):
             pd.to_datetime(pd.to_datetime)
 
     @pytest.mark.parametrize("value", ["a", "00:01:99"])
@@ -830,12 +826,7 @@ def test_datetime_invalid_scalar(self, value, format, infer):
         )
         assert res is pd.NaT
 
-        msg = (
-            "is a bad directive in format|"
-            "second must be in 0..59: 00:01:99|"
-            "Given date string not likely a datetime"
-        )
-        with pytest.raises(ValueError, match=msg):
+        with pytest.raises(ValueError):
             pd.to_datetime(
                 value, errors="raise", format=format, infer_datetime_format=infer
             )
@@ -856,14 +847,12 @@ def test_datetime_outofbounds_scalar(self, value, format, infer):
         assert res is pd.NaT
 
         if format is not None:
-            msg = "is a bad directive in format|Out of bounds nanosecond timestamp"
-            with pytest.raises(ValueError, match=msg):
+            with pytest.raises(ValueError):
                 pd.to_datetime(
                     value, errors="raise", format=format, infer_datetime_format=infer
                 )
         else:
-            msg = "Out of bounds nanosecond timestamp"
-            with pytest.raises(OutOfBoundsDatetime, match=msg):
+            with pytest.raises(OutOfBoundsDatetime):
                 pd.to_datetime(
                     value, errors="raise", format=format, infer_datetime_format=infer
                 )
@@ -883,12 +872,7 @@ def test_datetime_invalid_index(self, values, format, infer):
         )
         tm.assert_index_equal(res, pd.DatetimeIndex([pd.NaT] * len(values)))
 
-        msg = (
-            "is a bad directive in format|"
-            "Given date string not likely a datetime|"
-            "second must be in 0..59: 00:01:99"
-        )
-        with pytest.raises(ValueError, match=msg):
+        with pytest.raises(ValueError):
             pd.to_datetime(
                 values, errors="raise", format=format, infer_datetime_format=infer
             )
@@ -1086,8 +1070,7 @@ def test_timestamp_utc_true(self, ts, expected):
     @pytest.mark.parametrize("dt_str", ["00010101", "13000101", "30000101", "99990101"])
     def test_to_datetime_with_format_out_of_bounds(self, dt_str):
         # GH 9107
-        msg = "Out of bounds nanosecond timestamp"
-        with pytest.raises(OutOfBoundsDatetime, match=msg):
+        with pytest.raises(OutOfBoundsDatetime):
             pd.to_datetime(dt_str, format="%Y%m%d")
 
     def test_to_datetime_utc(self):
@@ -1113,8 +1096,8 @@ class TestToDatetimeUnit:
     def test_unit(self, cache):
         # GH 11758
         # test proper behavior with errors
-        msg = "cannot specify both format and unit"
-        with pytest.raises(ValueError, match=msg):
+
+        with pytest.raises(ValueError):
             to_datetime([1], unit="D", format="%Y%m%d", cache=cache)
 
         values = [11111111, 1, 1.0, iNaT, NaT, np.nan, "NaT", ""]
@@ -1140,8 +1123,7 @@ def test_unit(self, cache):
         )
         tm.assert_index_equal(result, expected)
 
-        msg = "cannot convert input 11111111 with the unit 'D'"
-        with pytest.raises(tslib.OutOfBoundsDatetime, match=msg):
+        with pytest.raises(tslib.OutOfBoundsDatetime):
             to_datetime(values, unit="D", errors="raise", cache=cache)
 
         values = [1420043460000, iNaT, NaT, np.nan, "NaT"]
@@ -1154,8 +1136,7 @@ def test_unit(self, cache):
         expected = DatetimeIndex(["NaT", "NaT", "NaT", "NaT", "NaT"])
         tm.assert_index_equal(result, expected)
 
-        msg = "cannot convert input 1420043460000 with the unit 's'"
-        with pytest.raises(tslib.OutOfBoundsDatetime, match=msg):
+        with pytest.raises(tslib.OutOfBoundsDatetime):
             to_datetime(values, errors="raise", unit="s", cache=cache)
 
         # if we have a string, then we raise a ValueError
@@ -1223,16 +1204,15 @@ def test_unit_mixed(self, cache):
         result = pd.to_datetime(arr, errors="coerce", cache=cache)
         tm.assert_index_equal(result, expected)
 
-        msg = "mixed datetimes and integers in passed array"
-        with pytest.raises(ValueError, match=msg):
+        with pytest.raises(ValueError):
             pd.to_datetime(arr, errors="raise", cache=cache)
 
         expected = DatetimeIndex(["NaT", "NaT", "2013-01-01"])
         arr = [1.434692e18, 1.432766e18, pd.Timestamp("20130101")]
         result = pd.to_datetime(arr, errors="coerce", cache=cache)
         tm.assert_index_equal(result, expected)
 
-        with pytest.raises(ValueError, match=msg):
+        with pytest.raises(ValueError):
             pd.to_datetime(arr, errors="raise", cache=cache)
 
     @pytest.mark.parametrize("cache", [True, False])
@@ -1412,8 +1392,7 @@ def test_dataframe_dtypes(self, cache):
 
         # float
         df = DataFrame({"year": [2000, 2001], "month": [1.5, 1], "day": [1, 1]})
-        msg = "cannot assemble the datetimes: unconverted data remains: 1"
-        with pytest.raises(ValueError, match=msg):
+        with pytest.raises(ValueError):
             to_datetime(df, cache=cache)
 
     def test_dataframe_utc_true(self):
@@ -1521,8 +1500,7 @@ def test_to_datetime_barely_out_of_bounds(self):
         # in an in-bounds datetime
         arr = np.array(["2262-04-11 23:47:16.854775808"], dtype=object)
 
-        msg = "Out of bounds nanosecond timestamp"
-        with pytest.raises(OutOfBoundsDatetime, match=msg):
+        with pytest.raises(OutOfBoundsDatetime):
             to_datetime(arr)
 
     @pytest.mark.parametrize("cache", [True, False])
@@ -1660,8 +1638,7 @@ def test_to_datetime_overflow(self):
         # gh-17637
         # we are overflowing Timedelta range here
 
-        msg = "Python int too large to convert to C long"
-        with pytest.raises(OverflowError, match=msg):
+        with pytest.raises(OverflowError):
             date_range(start="1/1/1700", freq="B", periods=100000)
 
     @pytest.mark.parametrize("cache", [True, False])
@@ -2288,26 +2265,23 @@ def test_julian_round_trip(self):
         assert result.to_julian_date() == 2456658
 
         # out-of-bounds
-        msg = "1 is Out of Bounds for origin='julian'"
-        with pytest.raises(ValueError, match=msg):
+        with pytest.raises(ValueError):
             pd.to_datetime(1, origin="julian", unit="D")
 
     def test_invalid_unit(self, units, julian_dates):
 
         # checking for invalid combination of origin='julian' and unit != D
         if units != "D":
-            msg = "unit must be 'D' for origin='julian'"
-            with pytest.raises(ValueError, match=msg):
+            with pytest.raises(ValueError):
                 pd.to_datetime(julian_dates, unit=units, origin="julian")
 
     def test_invalid_origin(self):
 
         # need to have a numeric specified
-        msg = "it must be numeric with a unit specified"
-        with pytest.raises(ValueError, match=msg):
+        with pytest.raises(ValueError):
             pd.to_datetime("2005-01-01", origin="1960-01-01")
 
-        with pytest.raises(ValueError, match=msg):
+        with pytest.raises(ValueError):
             pd.to_datetime("2005-01-01", origin="1960-01-01", unit="D")
 
     def test_epoch(self, units, epochs, epoch_1960, units_from_epochs):
@@ -2330,13 +2304,12 @@ def test_epoch(self, units, epochs, epoch_1960, units_from_epochs):
     )
     def test_invalid_origins(self, origin, exc, units, units_from_epochs):
 
-        msg = f"origin {origin} (is Out of Bounds|cannot be converted to a Timestamp)"
-        with pytest.raises(exc, match=msg):
+        with pytest.raises(exc):
             pd.to_datetime(units_from_epochs, unit=units, origin=origin)
 
     def test_invalid_origins_tzinfo(self):
         # GH16842
-        with pytest.raises(ValueError, match="must be tz-naive"):
+        with pytest.raises(ValueError):
             pd.to_datetime(1, unit="D", origin=datetime(2000, 1, 1, tzinfo=pytz.utc))
 
     @pytest.mark.parametrize("format", [None, "%Y-%m-%d %H:%M:%S"])