TEST-modin-project#2290: remove duplicated tests

Signed-off-by: Alexander Myskov <alexander.myskov@intel.com>
amyskov · Dec 1, 2020 · f12b7b8 · f12b7b8
1 parent e4d45e9
commit f12b7b8
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Showing 2 changed files with 5 additions and 76 deletions.
diff --git a/modin/pandas/test/test_io.py b/modin/pandas/test/test_io.py
@@ -1105,21 +1105,6 @@ def test_from_sas():
     df_equals(modin_df, pandas_df)
 
 
-@pytest.mark.parametrize("nrows", [123, None])
-def test_from_csv(make_csv_file, nrows):
-    make_csv_file()
-
-    pandas_df = pandas.read_csv(TEST_CSV_FILENAME, nrows=nrows)
-    modin_df = pd.read_csv(TEST_CSV_FILENAME, nrows=nrows)
-
-    df_equals(modin_df, pandas_df)
-
-    pandas_df = pandas.read_csv(Path(TEST_CSV_FILENAME), nrows=nrows)
-    modin_df = pd.read_csv(Path(TEST_CSV_FILENAME), nrows=nrows)
-
-    df_equals(modin_df, pandas_df)
-
-
 @pytest.mark.parametrize("nrows", [123, None])
 def test_from_csv_sep_none(make_csv_file, nrows):
     make_csv_file()
@@ -1434,53 +1419,6 @@ def test_from_csv_chunksize(make_csv_file):
     df_equals(modin_df, pd_df)
 
 
-@pytest.mark.parametrize("nrows", [1, 2, 123, None])
-def test_from_csv_skiprows(make_csv_file, nrows):
-    make_csv_file()
-
-    pandas_df = pandas.read_csv(TEST_CSV_FILENAME, skiprows=2, nrows=nrows)
-    modin_df = pd.read_csv(TEST_CSV_FILENAME, skiprows=2, nrows=nrows)
-    df_equals(modin_df, pandas_df)
-
-    pandas_df = pandas.read_csv(
-        TEST_CSV_FILENAME, names=["c1", "c2", "c3", "c4"], skiprows=2, nrows=nrows
-    )
-    modin_df = pd.read_csv(
-        TEST_CSV_FILENAME, names=["c1", "c2", "c3", "c4"], skiprows=2, nrows=nrows
-    )
-    df_equals(modin_df, pandas_df)
-
-    pandas_df = pandas.read_csv(
-        TEST_CSV_FILENAME,
-        header=None,
-        names=["c1", "c2", "c3", "c4"],
-        skiprows=2,
-        nrows=nrows,
-    )
-    modin_df = pd.read_csv(
-        TEST_CSV_FILENAME,
-        header=None,
-        names=["c1", "c2", "c3", "c4"],
-        skiprows=2,
-        nrows=nrows,
-    )
-    df_equals(modin_df, pandas_df)
-
-    pandas_df = pandas.read_csv(
-        TEST_CSV_FILENAME,
-        names=["c1", "c2", "c3", "c4"],
-        skiprows=lambda x: x % 2,
-        nrows=nrows,
-    )
-    modin_df = pd.read_csv(
-        TEST_CSV_FILENAME,
-        names=["c1", "c2", "c3", "c4"],
-        skiprows=lambda x: x % 2,
-        nrows=nrows,
-    )
-    df_equals(modin_df, pandas_df)
-
-
 @pytest.mark.parametrize("names", [list("XYZ"), None])
 @pytest.mark.parametrize("skiprows", [1, 2, 3, 4, None])
 def test_from_csv_skiprows_names(names, skiprows):
@@ -1524,15 +1462,6 @@ def test_from_csv_index_col(make_csv_file, nrows):
     df_equals(modin_df, pandas_df)
 
 
-def test_from_csv_skipfooter(make_csv_file):
-    make_csv_file()
-
-    pandas_df = pandas.read_csv(TEST_CSV_FILENAME, skipfooter=13)
-    modin_df = pd.read_csv(TEST_CSV_FILENAME, skipfooter=13)
-
-    df_equals(modin_df, pandas_df)
-
-
 def test_from_csv_parse_dates(make_csv_file):
     make_csv_file(force=True)
 

diff --git a/modin/pandas/test/utils.py b/modin/pandas/test/utils.py
@@ -884,15 +884,15 @@ def make_dict_hash(dict_to_hash):
 
     def _make_hash(object_to_hash):
         if isinstance(object_to_hash, (set, list)):
-            new_object = hash(frozenset(object_to_hash))
+            object_hash = hash(frozenset(object_to_hash))
         elif not isinstance(object_to_hash, dict):
-            new_object = hash(object_to_hash)
+            object_hash = hash(object_to_hash)
         elif callable(object_to_hash):
-            new_object = hash(object_to_hash.__name__)
+            object_hash = hash(object_to_hash.__name__)
         else:
-            new_object = object_to_hash
+            object_hash = object_to_hash
 
-        return new_object
+        return object_hash
 
     new_dict = {key: _make_hash(value) for key, value in dict_to_hash.items()}
     return hash(frozenset(new_dict))