Removed the Requirement to Install Python and NodeJS (Now Bundled with Borealis)

Dependencies/Python/Lib/test/test_tomllib/test_misc.py

@@ -0,0 +1,115 @@
+# SPDX-License-Identifier: MIT
+# SPDX-FileCopyrightText: 2021 Taneli Hukkinen
+# Licensed to PSF under a Contributor Agreement.
+
+import copy
+import datetime
+from decimal import Decimal as D
+from pathlib import Path
+import sys
+import tempfile
+import unittest
+from test import support
+
+from . import tomllib
+
+
+class TestMiscellaneous(unittest.TestCase):
+    def test_load(self):
+        content = "one=1 \n two='two' \n arr=[]"
+        expected = {"one": 1, "two": "two", "arr": []}
+        with tempfile.TemporaryDirectory() as tmp_dir_path:
+            file_path = Path(tmp_dir_path) / "test.toml"
+            file_path.write_text(content)
+
+            with open(file_path, "rb") as bin_f:
+                actual = tomllib.load(bin_f)
+        self.assertEqual(actual, expected)
+
+    def test_incorrect_load(self):
+        content = "one=1"
+        with tempfile.TemporaryDirectory() as tmp_dir_path:
+            file_path = Path(tmp_dir_path) / "test.toml"
+            file_path.write_text(content)
+
+            with open(file_path, "r") as txt_f:
+                with self.assertRaises(TypeError):
+                    tomllib.load(txt_f)  # type: ignore[arg-type]
+
+    def test_parse_float(self):
+        doc = """
+              val=0.1
+              biggest1=inf
+              biggest2=+inf
+              smallest=-inf
+              notnum1=nan
+              notnum2=-nan
+              notnum3=+nan
+              """
+        obj = tomllib.loads(doc, parse_float=D)
+        expected = {
+            "val": D("0.1"),
+            "biggest1": D("inf"),
+            "biggest2": D("inf"),
+            "smallest": D("-inf"),
+            "notnum1": D("nan"),
+            "notnum2": D("-nan"),
+            "notnum3": D("nan"),
+        }
+        for k, expected_val in expected.items():
+            actual_val = obj[k]
+            self.assertIsInstance(actual_val, D)
+            if actual_val.is_nan():
+                self.assertTrue(expected_val.is_nan())
+            else:
+                self.assertEqual(actual_val, expected_val)
+
+    def test_deepcopy(self):
+        doc = """
+              [bliibaa.diibaa]
+              offsettime=[1979-05-27T00:32:00.999999-07:00]
+              """
+        obj = tomllib.loads(doc)
+        obj_copy = copy.deepcopy(obj)
+        self.assertEqual(obj_copy, obj)
+        expected_obj = {
+            "bliibaa": {
+                "diibaa": {
+                    "offsettime": [
+                        datetime.datetime(
+                            1979,
+                            5,
+                            27,
+                            0,
+                            32,
+                            0,
+                            999999,
+                            tzinfo=datetime.timezone(datetime.timedelta(hours=-7)),
+                        )
+                    ]
+                }
+            }
+        }
+        self.assertEqual(obj_copy, expected_obj)
+
+    def test_inline_array_recursion_limit(self):
+        with support.infinite_recursion(max_depth=100):
+            available = support.get_recursion_available()
+            nest_count = (available // 2) - 2
+            # Add details if the test fails
+            with self.subTest(limit=sys.getrecursionlimit(),
+                              available=available,
+                              nest_count=nest_count):
+                recursive_array_toml = "arr = " + nest_count * "[" + nest_count * "]"
+                tomllib.loads(recursive_array_toml)
+
+    def test_inline_table_recursion_limit(self):
+        with support.infinite_recursion(max_depth=100):
+            available = support.get_recursion_available()
+            nest_count = (available // 3) - 1
+            # Add details if the test fails
+            with self.subTest(limit=sys.getrecursionlimit(),
+                              available=available,
+                              nest_count=nest_count):
+                recursive_table_toml = nest_count * "key = {" + nest_count * "}"
+                tomllib.loads(recursive_table_toml)