primeiro commit com exercicios de Exercism realizados até esta data

2026-10-17 22:10:27 +01:00
commit 58fccbe27a
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+{
+  "authors": [
+    "treyhunner"
+  ],
+  "contributors": [
+    "AiryShift",
+    "alexpjohnson",
+    "behrtam",
+    "cmccandless",
+    "Dog",
+    "ikhadykin",
+    "N-Parsons",
+    "pheanex",
+    "tqa236"
+  ],
+  "files": {
+    "solution": [
+      "flatten_array.py"
+    ],
+    "test": [
+      "flatten_array_test.py"
+    ],
+    "example": [
+      ".meta/example.py"
+    ]
+  },
+  "blurb": "Take a nested list and return a single list with all values except nil/null.",
+  "source": "Interview Question",
+  "source_url": "https://reference.wolfram.com/language/ref/Flatten.html"
+}
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+{"track":"python","exercise":"flatten-array","id":"a92fb57d90ee4bc38b8dd81a658f4d03","url":"https://exercism.org/tracks/python/exercises/flatten-array","handle":"sanctushck","is_requester":true,"auto_approve":false}
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+# Help
+
+## Running the tests
+
+We use [pytest][pytest: Getting Started Guide] as our website test runner.
+You will need to install `pytest` on your development machine if you want to run tests for the Python track locally.
+You should also install the following `pytest` plugins:
+
+- [pytest-cache][pytest-cache]
+- [pytest-subtests][pytest-subtests]
+
+Extended information can be found in our website [Python testing guide][Python track tests page].
+
+
+### Running Tests
+
+To run the included tests, navigate to the folder where the exercise is stored using `cd` in your terminal (_replace `{exercise-folder-location}` below with your path_).
+Test files usually end in `_test.py`, and are the same tests that run on the website when a solution is uploaded.
+
+Linux/MacOS
+```bash
+$ cd {path/to/exercise-folder-location}
+```
+
+Windows
+```powershell
+PS C:\Users\foobar> cd {path\to\exercise-folder-location}
+```
+
+<br>
+
+Next, run the `pytest` command in your terminal, replacing `{exercise_test.py}` with the name of the test file:
+
+Linux/MacOS
+```bash
+$ python3 -m pytest -o markers=task {exercise_test.py}
+==================== 7 passed in 0.08s ====================
+```
+
+Windows
+```powershell
+PS C:\Users\foobar> py -m pytest -o markers=task {exercise_test.py}
+==================== 7 passed in 0.08s ====================
+```
+
+
+### Common options
+- `-o` : override default `pytest.ini` (_you can use this to avoid marker warnings_)
+- `-v` : enable verbose output.
+- `-x` : stop running tests on first failure.
+- `--ff` : run failures from previous test before running other test cases.
+
+For additional options, use `python3 -m pytest -h` or `py -m pytest -h`.
+
+
+### Fixing warnings
+
+If you do not use `pytest -o markers=task` when invoking `pytest`, you might receive a `PytestUnknownMarkWarning` for tests that use our new syntax:
+
+```bash
+PytestUnknownMarkWarning: Unknown pytest.mark.task - is this a typo?  You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/mark.html
+```
+
+To avoid typing `pytest -o markers=task` for every test you run, you can use a `pytest.ini` configuration file.
+We have made one that can be downloaded from the top level of the Python track directory: [pytest.ini][pytest.ini].
+
+You can also create your own `pytest.ini` file with the following content:
+
+```ini
+[pytest]
+markers =
+    task: A concept exercise task.
+```
+
+Placing the `pytest.ini` file in the _root_ or _working_ directory for your Python track exercises will register the marks and stop the warnings.
+More information on pytest marks can be found in the `pytest` documentation on [marking test functions][pytest: marking test functions with attributes] and the `pytest` documentation on [working with custom markers][pytest: working with custom markers].
+
+Information on customizing pytest configurations can be found in the `pytest` documentation on [configuration file formats][pytest: configuration file formats].
+
+
+### Extending your IDE or Code Editor
+
+Many IDEs and code editors have built-in support for using `pytest` and other code quality tools.
+Some community-sourced options can be found on our [Python track tools page][Python track tools page].
+
+[Pytest: Getting Started Guide]: https://docs.pytest.org/en/latest/getting-started.html
+[Python track tools page]: https://exercism.org/docs/tracks/python/tools
+[Python track tests page]: https://exercism.org/docs/tracks/python/tests
+[pytest-cache]:http://pythonhosted.org/pytest-cache/
+[pytest-subtests]:https://github.com/pytest-dev/pytest-subtests
+[pytest.ini]: https://github.com/exercism/python/blob/main/pytest.ini
+[pytest: configuration file formats]: https://docs.pytest.org/en/6.2.x/customize.html#configuration-file-formats
+[pytest: marking test functions with attributes]: https://docs.pytest.org/en/6.2.x/mark.html#raising-errors-on-unknown-marks
+[pytest: working with custom markers]: https://docs.pytest.org/en/6.2.x/example/markers.html#working-with-custom-markers
+
+## Submitting your solution
+
+You can submit your solution using the `exercism submit flatten_array.py` command.
+This command will upload your solution to the Exercism website and print the solution page's URL.
+
+It's possible to submit an incomplete solution which allows you to:
+
+- See how others have completed the exercise
+- Request help from a mentor
+
+## Need to get help?
+
+If you'd like help solving the exercise, check the following pages:
+
+- The [Python track's documentation](https://exercism.org/docs/tracks/python)
+- The [Python track's programming category on the forum](https://forum.exercism.org/c/programming/python)
+- [Exercism's programming category on the forum](https://forum.exercism.org/c/programming/5)
+- The [Frequently Asked Questions](https://exercism.org/docs/using/faqs)
+
+Should those resources not suffice, you could submit your (incomplete) solution to request mentoring.
+
+Below are some resources for getting help if you run into trouble:
+
+- [The PSF](https://www.python.org) hosts Python downloads, documentation, and community resources.
+- [The Exercism Community on Discord](https://exercism.org/r/discord)
+- [Python Community on Discord](https://pythondiscord.com/) is a very helpful and active community.
+- [/r/learnpython/](https://www.reddit.com/r/learnpython/) is a subreddit designed for Python learners.
+- [#python on Libera.chat](https://www.python.org/community/irc/) this is where the core developers for the language hang out and get work done.
+- [Python Community Forums](https://discuss.python.org/)
+- [Free Code Camp Community Forums](https://forum.freecodecamp.org/)
+- [CodeNewbie Community Help Tag](https://community.codenewbie.org/t/help)
+- [Pythontutor](http://pythontutor.com/) for stepping through small code snippets visually.
+
+Additionally, [StackOverflow](http://stackoverflow.com/questions/tagged/python) is a good spot to search for your problem/question to see if it has been answered already.
+ If not - you can always [ask](https://stackoverflow.com/help/how-to-ask) or [answer](https://stackoverflow.com/help/how-to-answer) someone else's question.
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+# Flatten Array
+
+Welcome to Flatten Array on Exercism's Python Track.
+If you need help running the tests or submitting your code, check out `HELP.md`.
+
+## Introduction
+
+A shipment of emergency supplies has arrived, but there's a problem.
+To protect from damage, the items — flashlights, first-aid kits, blankets — are packed inside boxes, and some of those boxes are nested several layers deep inside other boxes!
+
+To be prepared for an emergency, everything must be easily accessible in one box.
+Can you unpack all the supplies and place them into a single box, so they're ready when needed most?
+
+## Instructions
+
+Take a nested array of any depth and return a fully flattened array.
+
+Note that some language tracks may include null-like values in the input array, and the way these values are represented varies by track.
+Such values should be excluded from the flattened array.
+
+Additionally, the input may be of a different data type and contain different types, depending on the track.
+
+Check the test suite for details.
+
+## Example
+
+input: `[1, [2, 6, null], [[null, [4]], 5]]`
+
+output: `[1, 2, 6, 4, 5]`
+
+## Source
+
+### Created by
+
+- @treyhunner
+
+### Contributed to by
+
+- @AiryShift
+- @alexpjohnson
+- @behrtam
+- @cmccandless
+- @Dog
+- @ikhadykin
+- @N-Parsons
+- @pheanex
+- @tqa236
+
+### Based on
+
+Interview Question - https://reference.wolfram.com/language/ref/Flatten.html
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+from types import NoneType
+
+
+def flatten(iterable) -> list:
+    flatten_array: list = []
+    for item in iterable:
+        if isinstance(item, list):
+            flatten_array.extend(flatten(item))
+        elif isinstance(item, NoneType):
+            continue
+        else:
+            flatten_array.append(item)
+    return flatten_array
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+# These tests are auto-generated with test data from:
+# https://github.com/exercism/problem-specifications/tree/main/exercises/flatten-array/canonical-data.json
+# File last updated on 2025-03-22
+
+import unittest
+
+from flatten_array import (
+    flatten,
+)
+
+
+class FlattenArrayTest(unittest.TestCase):
+    def test_empty(self):
+        inputs = []
+        expected = []
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_no_nesting(self):
+        inputs = [0, 1, 2]
+        expected = [0, 1, 2]
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_flattens_a_nested_array(self):
+        inputs = [[[]]]
+        expected = []
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_flattens_array_with_just_integers_present(self):
+        inputs = [1, [2, 3, 4, 5, 6, 7], 8]
+        expected = [1, 2, 3, 4, 5, 6, 7, 8]
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_5_level_nesting(self):
+        inputs = [0, 2, [[2, 3], 8, 100, 4, [[[50]]]], -2]
+        expected = [0, 2, 2, 3, 8, 100, 4, 50, -2]
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_6_level_nesting(self):
+        inputs = [1, [2, [[3]], [4, [[5]]], 6, 7], 8]
+        expected = [1, 2, 3, 4, 5, 6, 7, 8]
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_null_values_are_omitted_from_the_final_result(self):
+        inputs = [1, 2, None]
+        expected = [1, 2]
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_consecutive_null_values_at_the_front_of_the_array_are_omitted_from_the_final_result(
+        self,
+    ):
+        inputs = [None, None, 3]
+        expected = [3]
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_consecutive_null_values_in_the_middle_of_the_array_are_omitted_from_the_final_result(
+        self,
+    ):
+        inputs = [1, None, None, 4]
+        expected = [1, 4]
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_6_level_nested_array_with_null_values(self):
+        inputs = [0, 2, [[2, 3], 8, [[100]], None, [[None]]], -2]
+        expected = [0, 2, 2, 3, 8, 100, -2]
+        self.assertEqual(flatten(inputs), expected)
+
+    def test_all_values_in_nested_array_are_null(self):
+        inputs = [None, [[[None]]], None, None, [[None, None], None], None]
+        expected = []
+        self.assertEqual(flatten(inputs), expected)
				`@@ -0,0 +1 @@`
				`{"track":"python","exercise":"flatten-array","id":"a92fb57d90ee4bc38b8dd81a658f4d03","url":"https://exercism.org/tracks/python/exercises/flatten-array","handle":"sanctushck","is_requester":true,"auto_approve":false}`