From 6e41fd1d294ae8468190682887ae557ad0571cb4 Mon Sep 17 00:00:00 2001
From: Florian Spreckelsen <f.spreckelsen@indiscale.com>
Date: Thu, 27 Jun 2024 15:38:44 +0200
Subject: [PATCH] MAINT: Remove debugging output
---
unittests/test_table_importer.py | 2 --
1 file changed, 2 deletions(-)
diff --git a/unittests/test_table_importer.py b/unittests/test_table_importer.py
index 9146646f..92d79334 100644
--- a/unittests/test_table_importer.py
+++ b/unittests/test_table_importer.py
@@ -200,7 +200,6 @@ class TableImporterTest(unittest.TestCase):
assert df["float"].dtype == int
# strict = False by default, so this shouldn't raise an error
importer.check_datatype(df)
- print(importer.datatypes)
# The types should be correct now.
assert df["a"].dtype == pd.StringDtype
assert df["float"].dtype == float
@@ -369,7 +368,6 @@ class CSVImporterTest(TableImporterTest):
assert importer_strict.datatypes["float"] == float
with pytest.raises(DataInconsistencyError) as die:
df = importer_strict.read_file(tmpfile.name)
- print(df)
assert "Integer column has NA values in column 1" in str(die.value)
# ... except when a nullable datatype is set explicitly
--
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