primeiro commit com exercicios de Exercism realizados até esta data

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{
"authors": [
"meatball133",
"Bethanyg"
],
"contributors": [],
"files": {
"solution": [
"square_root.py"
],
"test": [
"square_root_test.py"
],
"example": [
".meta/example.py"
]
},
"blurb": "Given a natural radicand, return its square root.",
"source": "wolf99",
"source_url": "https://github.com/exercism/problem-specifications/pull/1582"
}
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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
## 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 square_root.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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# Square Root
Welcome to Square Root on Exercism's Python Track.
If you need help running the tests or submitting your code, check out `HELP.md`.
## Introduction
We are launching a deep space exploration rocket and we need a way to make sure the navigation system stays on target.
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).
The journey will be very long.
To make the batteries last as long as possible, we had to make our rocket's onboard computer very power efficient.
Unfortunately that means that we can't rely on fancy math libraries and functions, as they use more power.
Instead we want to implement our own square root calculation.
## Instructions
Your task is to calculate the square root of a given number.
- Try to avoid using the pre-existing math libraries of your language.
- As input you'll be given a positive whole number, i.e. 1, 2, 3, 4…
- You are only required to handle cases where the result is a positive whole number.
Some potential approaches:
- Linear or binary search for a number that gives the input number when squared.
- Successive approximation using Newton's or Heron's method.
- Calculating one digit at a time or one bit at a time.
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.
[integer-square-root]: https://en.wikipedia.org/wiki/Integer_square_root
[computing-square-roots]: https://en.wikipedia.org/wiki/Methods_of_computing_square_roots
## How this Exercise is Structured in Python
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].
However, we'd like you to consider the challenge of solving this exercise without those built-ins or modules.
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.
It is possible to compute the square root of any natural number using only natural numbers in the computation.
[math-module]: https://docs.python.org/3/library/math.html
[pow]: https://docs.python.org/3/library/functions.html#pow
[sum]: https://docs.python.org/3/library/functions.html#sum
[nautral-number]: https://en.wikipedia.org/wiki/Natural_number
## Source
### Created by
- @meatball133
- @Bethanyg
### Based on
wolf99 - https://github.com/exercism/problem-specifications/pull/1582
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def square_root(number):
if number <= 0:
raise ValueError("only accept positive integers")
for root in range(1, number + 1):
if (root * root) == number:
return root
return 0
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# These tests are auto-generated with test data from:
# https://github.com/exercism/problem-specifications/tree/main/exercises/square-root/canonical-data.json
# File last updated on 2023-07-19
import unittest
from square_root import (
square_root,
)
class SquareRootTest(unittest.TestCase):
def test_root_of_1(self):
self.assertEqual(square_root(1), 1)
def test_root_of_4(self):
self.assertEqual(square_root(4), 2)
def test_root_of_25(self):
self.assertEqual(square_root(25), 5)
def test_root_of_81(self):
self.assertEqual(square_root(81), 9)
def test_root_of_196(self):
self.assertEqual(square_root(196), 14)
def test_root_of_65025(self):
self.assertEqual(square_root(65025), 255)