primeiro commit com exercicios de Exercism realizados até esta data
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{
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"authors": [
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"meatball133",
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"Bethanyg"
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],
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"contributors": [],
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"files": {
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"solution": [
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"square_root.py"
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],
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"test": [
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"square_root_test.py"
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],
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"example": [
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".meta/example.py"
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]
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},
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"blurb": "Given a natural radicand, return its square root.",
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"source": "wolf99",
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"source_url": "https://github.com/exercism/problem-specifications/pull/1582"
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}
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{"track":"python","exercise":"square-root","id":"34bc21bfe68d44bcbc14da478ae7c161","url":"https://exercism.org/tracks/python/exercises/square-root","handle":"sanctushck","is_requester":true,"auto_approve":false}
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# Help
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## Running the tests
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We use [pytest][pytest: Getting Started Guide] as our website test runner.
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You will need to install `pytest` on your development machine if you want to run tests for the Python track locally.
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You should also install the following `pytest` plugins:
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- [pytest-cache][pytest-cache]
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- [pytest-subtests][pytest-subtests]
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Extended information can be found in our website [Python testing guide][Python track tests page].
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### Running Tests
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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_).
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Test files usually end in `_test.py`, and are the same tests that run on the website when a solution is uploaded.
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Linux/MacOS
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```bash
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$ cd {path/to/exercise-folder-location}
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```
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Windows
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```powershell
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PS C:\Users\foobar> cd {path\to\exercise-folder-location}
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```
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<br>
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Next, run the `pytest` command in your terminal, replacing `{exercise_test.py}` with the name of the test file:
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Linux/MacOS
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```bash
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$ python3 -m pytest -o markers=task {exercise_test.py}
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==================== 7 passed in 0.08s ====================
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```
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Windows
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```powershell
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PS C:\Users\foobar> py -m pytest -o markers=task {exercise_test.py}
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==================== 7 passed in 0.08s ====================
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```
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### Common options
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- `-o` : override default `pytest.ini` (_you can use this to avoid marker warnings_)
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- `-v` : enable verbose output.
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- `-x` : stop running tests on first failure.
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- `--ff` : run failures from previous test before running other test cases.
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For additional options, use `python3 -m pytest -h` or `py -m pytest -h`.
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### Fixing warnings
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If you do not use `pytest -o markers=task` when invoking `pytest`, you might receive a `PytestUnknownMarkWarning` for tests that use our new syntax:
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```bash
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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
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```
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To avoid typing `pytest -o markers=task` for every test you run, you can use a `pytest.ini` configuration file.
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We have made one that can be downloaded from the top level of the Python track directory: [pytest.ini][pytest.ini].
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You can also create your own `pytest.ini` file with the following content:
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```ini
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[pytest]
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markers =
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task: A concept exercise task.
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```
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Placing the `pytest.ini` file in the _root_ or _working_ directory for your Python track exercises will register the marks and stop the warnings.
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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].
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Information on customizing pytest configurations can be found in the `pytest` documentation on [configuration file formats][pytest: configuration file formats].
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### Extending your IDE or Code Editor
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Many IDEs and code editors have built-in support for using `pytest` and other code quality tools.
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Some community-sourced options can be found on our [Python track tools page][Python track tools page].
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[Pytest: Getting Started Guide]: https://docs.pytest.org/en/latest/getting-started.html
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[Python track tools page]: https://exercism.org/docs/tracks/python/tools
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[Python track tests page]: https://exercism.org/docs/tracks/python/tests
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[pytest-cache]:http://pythonhosted.org/pytest-cache/
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[pytest-subtests]:https://github.com/pytest-dev/pytest-subtests
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[pytest.ini]: https://github.com/exercism/python/blob/main/pytest.ini
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[pytest: configuration file formats]: https://docs.pytest.org/en/6.2.x/customize.html#configuration-file-formats
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[pytest: marking test functions with attributes]: https://docs.pytest.org/en/6.2.x/mark.html#raising-errors-on-unknown-marks
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[pytest: working with custom markers]: https://docs.pytest.org/en/6.2.x/example/markers.html#working-with-custom-markers
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## Submitting your solution
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You can submit your solution using the `exercism submit square_root.py` command.
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This command will upload your solution to the Exercism website and print the solution page's URL.
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It's possible to submit an incomplete solution which allows you to:
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- See how others have completed the exercise
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- Request help from a mentor
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## Need to get help?
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If you'd like help solving the exercise, check the following pages:
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- The [Python track's documentation](https://exercism.org/docs/tracks/python)
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- The [Python track's programming category on the forum](https://forum.exercism.org/c/programming/python)
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- [Exercism's programming category on the forum](https://forum.exercism.org/c/programming/5)
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- The [Frequently Asked Questions](https://exercism.org/docs/using/faqs)
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Should those resources not suffice, you could submit your (incomplete) solution to request mentoring.
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Below are some resources for getting help if you run into trouble:
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- [The PSF](https://www.python.org) hosts Python downloads, documentation, and community resources.
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- [The Exercism Community on Discord](https://exercism.org/r/discord)
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- [Python Community on Discord](https://pythondiscord.com/) is a very helpful and active community.
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- [/r/learnpython/](https://www.reddit.com/r/learnpython/) is a subreddit designed for Python learners.
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- [#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.
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- [Python Community Forums](https://discuss.python.org/)
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- [Free Code Camp Community Forums](https://forum.freecodecamp.org/)
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- [CodeNewbie Community Help Tag](https://community.codenewbie.org/t/help)
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- [Pythontutor](http://pythontutor.com/) for stepping through small code snippets visually.
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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.
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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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# Square Root
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Welcome to Square Root on Exercism's Python Track.
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If you need help running the tests or submitting your code, check out `HELP.md`.
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## Introduction
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We are launching a deep space exploration rocket and we need a way to make sure the navigation system stays on target.
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As the first step in our calculation, we take a target number and find its square root (that is, the number that when multiplied by itself equals the target number).
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The journey will be very long.
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To make the batteries last as long as possible, we had to make our rocket's onboard computer very power efficient.
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Unfortunately that means that we can't rely on fancy math libraries and functions, as they use more power.
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Instead we want to implement our own square root calculation.
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## Instructions
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Your task is to calculate the square root of a given number.
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- Try to avoid using the pre-existing math libraries of your language.
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- As input you'll be given a positive whole number, i.e. 1, 2, 3, 4…
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- You are only required to handle cases where the result is a positive whole number.
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Some potential approaches:
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- Linear or binary search for a number that gives the input number when squared.
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- Successive approximation using Newton's or Heron's method.
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- Calculating one digit at a time or one bit at a time.
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You can check out the Wikipedia pages on [integer square root][integer-square-root] and [methods of computing square roots][computing-square-roots] to help with choosing a method of calculation.
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[integer-square-root]: https://en.wikipedia.org/wiki/Integer_square_root
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[computing-square-roots]: https://en.wikipedia.org/wiki/Methods_of_computing_square_roots
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## How this Exercise is Structured in Python
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Python offers a wealth of mathematical functions in the form of the [math module][math-module] and built-ins such as the exponentiation operator `**`, [`pow()`][pow] and [`sum()`][sum].
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However, we'd like you to consider the challenge of solving this exercise without those built-ins or modules.
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While there is a mathematical formula that will find the square root of _any_ number, we have gone the route of having only [natural numbers][nautral-number] (positive integers) as solutions.
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It is possible to compute the square root of any natural number using only natural numbers in the computation.
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[math-module]: https://docs.python.org/3/library/math.html
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[pow]: https://docs.python.org/3/library/functions.html#pow
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[sum]: https://docs.python.org/3/library/functions.html#sum
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[nautral-number]: https://en.wikipedia.org/wiki/Natural_number
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## Source
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### Created by
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- @meatball133
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- @Bethanyg
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### Based on
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wolf99 - https://github.com/exercism/problem-specifications/pull/1582
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def square_root(number):
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if number <= 0:
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raise ValueError("only accept positive integers")
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for root in range(1, number + 1):
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if (root * root) == number:
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return root
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return 0
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# These tests are auto-generated with test data from:
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# https://github.com/exercism/problem-specifications/tree/main/exercises/square-root/canonical-data.json
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# File last updated on 2023-07-19
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import unittest
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from square_root import (
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square_root,
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)
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class SquareRootTest(unittest.TestCase):
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def test_root_of_1(self):
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self.assertEqual(square_root(1), 1)
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def test_root_of_4(self):
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self.assertEqual(square_root(4), 2)
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def test_root_of_25(self):
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self.assertEqual(square_root(25), 5)
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def test_root_of_81(self):
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self.assertEqual(square_root(81), 9)
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def test_root_of_196(self):
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self.assertEqual(square_root(196), 14)
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def test_root_of_65025(self):
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self.assertEqual(square_root(65025), 255)
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