From 1349ad0d580a2a546bafe531c529df2e65d20caa Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Peter=20L=C3=BCnenschlo=C3=9F?= <peter.luenenschloss@ufz.de>
Date: Wed, 28 Jun 2023 10:54:15 +0200
Subject: [PATCH] removed debug artifact
---
saqc/lib/ts_operators.py | 2 +-
tests/lib/test_ts_operators.py | 12 +++---------
2 files changed, 4 insertions(+), 10 deletions(-)
diff --git a/saqc/lib/ts_operators.py b/saqc/lib/ts_operators.py
index 8812644f4..8fbb27e61 100644
--- a/saqc/lib/ts_operators.py
+++ b/saqc/lib/ts_operators.py
@@ -331,7 +331,7 @@ def interpolateNANs(data, method, order=2, gap_limit=2, extrapolate=None):
# helper variable for checking numerical value of gap limit, if its a numeric value (to avoid comparison to str)
gap_check = np.nan if isinstance(gap_limit, str) else gap_limit
data = pd.Series(data, copy=True)
- limit_area = "inside" if not extrapolate else "outside"
+ limit_area = None if extrapolate else "inside"
if gap_check is None:
# if there is actually no limit set to the gaps to-be interpolated, generate a dummy mask for the gaps
gap_mask = pd.Series(True, index=data.index, name=data.name)
diff --git a/tests/lib/test_ts_operators.py b/tests/lib/test_ts_operators.py
index 875e78a80..9c97b40fa 100644
--- a/tests/lib/test_ts_operators.py
+++ b/tests/lib/test_ts_operators.py
@@ -47,10 +47,7 @@ F = False
)
def test_exceedConsecutiveNanLimit(arr, maxc, expected):
result = tsops._exceedConsecutiveNanLimit(arr, maxc)
- try:
- assert result is expected
- except AssertionError:
- print("stop")
+ assert result is expected
def dtSeries(data, freq="1d"):
@@ -242,7 +239,7 @@ def test_rateOfChange(data, expected):
4,
"both",
[np.nan, 0, np.nan, np.nan, np.nan, 4, np.nan],
- [np.nan, 0, 1, 2, 3, 4, np.nan],
+ [0, 0, 1, 2, 3, 4, 4],
),
(
None,
@@ -256,7 +253,4 @@ def test_interpolatNANs(limit, extrapolate, data, expected):
got = tsops.interpolateNANs(
pd.Series(data), gap_limit=limit, method="linear", extrapolate=extrapolate
)
- try:
- assert got.equals(pd.Series(expected, dtype=float))
- except AssertionError:
- print("stop")
+ assert got.equals(pd.Series(expected, dtype=float))
--
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