Removed unnecessary dict calls (#38319)

Author: Arun12121

pandas/tests/io/parser/test_quoting.py

@@ -17,12 +17,12 @@
 @pytest.mark.parametrize(
     "kwargs,msg",
     [
-        (dict(quotechar="foo"), '"quotechar" must be a(n)? 1-character string'),
+        ({"quotechar": "foo"}, '"quotechar" must be a(n)? 1-character string'),
         (
-            dict(quotechar=None, quoting=csv.QUOTE_MINIMAL),
+            {"quotechar": None, "quoting": csv.QUOTE_MINIMAL},
             "quotechar must be set if quoting enabled",
         ),
-        (dict(quotechar=2), '"quotechar" must be string, not int'),
+        ({"quotechar": 2}, '"quotechar" must be string, not int'),
     ],
 )
 def test_bad_quote_char(all_parsers, kwargs, msg):
@@ -72,7 +72,7 @@ def test_quote_char_various(all_parsers, quote_char):
 @pytest.mark.parametrize("quoting", [csv.QUOTE_MINIMAL, csv.QUOTE_NONE])
 @pytest.mark.parametrize("quote_char", ["", None])
 def test_null_quote_char(all_parsers, quoting, quote_char):
-    kwargs = dict(quotechar=quote_char, quoting=quoting)
+    kwargs = {"quotechar": quote_char, "quoting": quoting}
     data = "a,b,c\n1,2,3"
     parser = all_parsers
 
@@ -91,17 +91,17 @@ def test_null_quote_char(all_parsers, quoting, quote_char):
 @pytest.mark.parametrize(
     "kwargs,exp_data",
     [
-        (dict(), [[1, 2, "foo"]]),  # Test default.
+        ({}, [[1, 2, "foo"]]),  # Test default.
         # QUOTE_MINIMAL only applies to CSV writing, so no effect on reading.
-        (dict(quotechar='"', quoting=csv.QUOTE_MINIMAL), [[1, 2, "foo"]]),
+        ({"quotechar": '"', "quoting": csv.QUOTE_MINIMAL}, [[1, 2, "foo"]]),
         # QUOTE_MINIMAL only applies to CSV writing, so no effect on reading.
-        (dict(quotechar='"', quoting=csv.QUOTE_ALL), [[1, 2, "foo"]]),
+        ({"quotechar": '"', "quoting": csv.QUOTE_ALL}, [[1, 2, "foo"]]),
         # QUOTE_NONE tells the reader to do no special handling
         # of quote characters and leave them alone.
-        (dict(quotechar='"', quoting=csv.QUOTE_NONE), [[1, 2, '"foo"']]),
+        ({"quotechar": '"', "quoting": csv.QUOTE_NONE}, [[1, 2, '"foo"']]),
         # QUOTE_NONNUMERIC tells the reader to cast
         # all non-quoted fields to float
-        (dict(quotechar='"', quoting=csv.QUOTE_NONNUMERIC), [[1.0, 2.0, "foo"]]),
+        ({"quotechar": '"', "quoting": csv.QUOTE_NONNUMERIC}, [[1.0, 2.0, "foo"]]),
     ],
 )
 def test_quoting_various(all_parsers, kwargs, exp_data):

pandas/tests/io/parser/test_usecols.py

@@ -477,14 +477,14 @@ def test_incomplete_first_row(all_parsers, usecols):
         (
             "19,29,39\n" * 2 + "10,20,30,40",
             [0, 1, 2],
-            dict(header=None),
+            {"header": None},
             DataFrame([[19, 29, 39], [19, 29, 39], [10, 20, 30]]),
         ),
         # see gh-9549
         (
             ("A,B,C\n1,2,3\n3,4,5\n1,2,4,5,1,6\n1,2,3,,,1,\n1,2,3\n5,6,7"),
             ["A", "B", "C"],
-            dict(),
+            {},
             DataFrame(
                 {
                     "A": [1, 3, 1, 1, 1, 5],
@@ -507,39 +507,39 @@ def test_uneven_length_cols(all_parsers, data, usecols, kwargs, expected):
     [
         (
             ["a", "b", "c", "d"],
-            dict(),
+            {},
             DataFrame({"a": [1, 5], "b": [2, 6], "c": [3, 7], "d": [4, 8]}),
             None,
         ),
         (
             ["a", "b", "c", "f"],
-            dict(),
+            {},
             None,
             _msg_validate_usecols_names.format(r"\['f'\]"),
         ),
-        (["a", "b", "f"], dict(), None, _msg_validate_usecols_names.format(r"\['f'\]")),
+        (["a", "b", "f"], {}, None, _msg_validate_usecols_names.format(r"\['f'\]")),
         (
             ["a", "b", "f", "g"],
-            dict(),
+            {},
             None,
             _msg_validate_usecols_names.format(r"\[('f', 'g'|'g', 'f')\]"),
         ),
         # see gh-14671
         (
             None,
-            dict(header=0, names=["A", "B", "C", "D"]),
+            {"header": 0, "names": ["A", "B", "C", "D"]},
             DataFrame({"A": [1, 5], "B": [2, 6], "C": [3, 7], "D": [4, 8]}),
             None,
         ),
         (
             ["A", "B", "C", "f"],
-            dict(header=0, names=["A", "B", "C", "D"]),
+            {"header": 0, "names": ["A", "B", "C", "D"]},
             None,
             _msg_validate_usecols_names.format(r"\['f'\]"),
         ),
         (
             ["A", "B", "f"],
-            dict(names=["A", "B", "C", "D"]),
+            {"names": ["A", "B", "C", "D"]},
             None,
             _msg_validate_usecols_names.format(r"\['f'\]"),
         ),