primeiro commit com exercicios de Exercism realizados até esta data

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{
"authors": [
"michaelkunc"
],
"contributors": [
"AnAccountForReportingBugs",
"behrtam",
"BethanyG",
"cmccandless",
"Dog",
"fortrieb",
"ikhadykin",
"kytrinyx",
"mpatibandla",
"N-Parsons",
"patricksjackson",
"pheanex",
"subkrish",
"tqa236"
],
"files": {
"solution": [
"binary_search.py"
],
"test": [
"binary_search_test.py"
],
"example": [
".meta/example.py"
]
},
"blurb": "Implement a binary search algorithm.",
"source": "Wikipedia",
"source_url": "https://en.wikipedia.org/wiki/Binary_search_algorithm"
}
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{"track":"python","exercise":"binary-search","id":"b5256f28c8a741168d520136d8106a26","url":"https://exercism.org/tracks/python/exercises/binary-search","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 binary_search.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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# Binary Search
Welcome to Binary Search on Exercism's Python Track.
If you need help running the tests or submitting your code, check out `HELP.md`.
## Introduction
You have stumbled upon a group of mathematicians who are also singer-songwriters.
They have written a song for each of their favorite numbers, and, as you can imagine, they have a lot of favorite numbers (like [0][zero] or [73][seventy-three] or [6174][kaprekars-constant]).
You are curious to hear the song for your favorite number, but with so many songs to wade through, finding the right song could take a while.
Fortunately, they have organized their songs in a playlist sorted by the title — which is simply the number that the song is about.
You realize that you can use a binary search algorithm to quickly find a song given the title.
[zero]: https://en.wikipedia.org/wiki/0
[seventy-three]: https://en.wikipedia.org/wiki/73_(number)
[kaprekars-constant]: https://en.wikipedia.org/wiki/6174_(number)
## Instructions
Your task is to implement a binary search algorithm.
A binary search algorithm finds an item in a list by repeatedly splitting it in half, only keeping the half which contains the item we're looking for.
It allows us to quickly narrow down the possible locations of our item until we find it, or until we've eliminated all possible locations.
~~~~exercism/caution
Binary search only works when a list has been sorted.
~~~~
The algorithm looks like this:
- Find the middle element of a _sorted_ list and compare it with the item we're looking for.
- If the middle element is our item, then we're done!
- If the middle element is greater than our item, we can eliminate that element and all the elements **after** it.
- If the middle element is less than our item, we can eliminate that element and all the elements **before** it.
- If every element of the list has been eliminated then the item is not in the list.
- Otherwise, repeat the process on the part of the list that has not been eliminated.
Here's an example:
Let's say we're looking for the number 23 in the following sorted list: `[4, 8, 12, 16, 23, 28, 32]`.
- We start by comparing 23 with the middle element, 16.
- Since 23 is greater than 16, we can eliminate the left half of the list, leaving us with `[23, 28, 32]`.
- We then compare 23 with the new middle element, 28.
- Since 23 is less than 28, we can eliminate the right half of the list: `[23]`.
- We've found our item.
## Exception messages
Sometimes it is necessary to [raise an exception](https://docs.python.org/3/tutorial/errors.html#raising-exceptions). When you do this, you should always include a **meaningful error message** to indicate what the source of the error is. This makes your code more readable and helps significantly with debugging. For situations where you know that the error source will be a certain type, you can choose to raise one of the [built in error types](https://docs.python.org/3/library/exceptions.html#base-classes), but should still include a meaningful message.
This particular exercise requires that you use the [raise statement](https://docs.python.org/3/reference/simple_stmts.html#the-raise-statement) to "throw" a `ValueError` when the given value is not found within the array. The tests will only pass if you both `raise` the `exception` and include a message with it.
To raise a `ValueError` with a message, write the message as an argument to the `exception` type:
```python
# example when value is not found in the array.
raise ValueError("value not in array")
```
## Source
### Created by
- @michaelkunc
### Contributed to by
- @AnAccountForReportingBugs
- @behrtam
- @BethanyG
- @cmccandless
- @Dog
- @fortrieb
- @ikhadykin
- @kytrinyx
- @mpatibandla
- @N-Parsons
- @patricksjackson
- @pheanex
- @subkrish
- @tqa236
### Based on
Wikipedia - https://en.wikipedia.org/wiki/Binary_search_algorithm
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# iterative version of the code
# def find(search_list: list[int], value: int) -> int:
# left: int = 0
# right: int = len(search_list) - 1
# search_list.sort()
# while left <= right:
# middle_index: int = (left + right) // 2
# if value < search_list[middle_index]:
# right = middle_index - 1
# elif value > search_list[middle_index]:
# left = middle_index + 1
# else:
# return middle_index
# raise ValueError(f"value not in array")
# recursive version of the code
def find(search_list: list[int], value: int) -> int:
middle_index: int = (len(search_list) - 1) // 2
search_list.sort()
if search_list == []:
raise ValueError("value not in array")
if value < search_list[middle_index]:
return find(search_list[:middle_index], value)
elif value > search_list[middle_index]:
return (middle_index + 1) + find(search_list[middle_index + 1:], value)
else:
return middle_index
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# These tests are auto-generated with test data from:
# https://github.com/exercism/problem-specifications/tree/main/exercises/binary-search/canonical-data.json
# File last updated on 2023-07-20
import unittest
from binary_search import (
find,
)
class BinarySearchTest(unittest.TestCase):
def test_finds_a_value_in_an_array_with_one_element(self):
self.assertEqual(find([6], 6), 0)
def test_finds_a_value_in_the_middle_of_an_array(self):
self.assertEqual(find([1, 3, 4, 6, 8, 9, 11], 6), 3)
def test_finds_a_value_at_the_beginning_of_an_array(self):
self.assertEqual(find([1, 3, 4, 6, 8, 9, 11], 1), 0)
def test_finds_a_value_at_the_end_of_an_array(self):
self.assertEqual(find([1, 3, 4, 6, 8, 9, 11], 11), 6)
def test_finds_a_value_in_an_array_of_odd_length(self):
self.assertEqual(
find([1, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 634], 144), 9
)
def test_finds_a_value_in_an_array_of_even_length(self):
self.assertEqual(
find([1, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377], 21), 5)
def test_identifies_that_a_value_is_not_included_in_the_array(self):
with self.assertRaises(ValueError) as err:
find([1, 3, 4, 6, 8, 9, 11], 7)
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "value not in array")
def test_a_value_smaller_than_the_array_s_smallest_value_is_not_found(self):
with self.assertRaises(ValueError) as err:
find([1, 3, 4, 6, 8, 9, 11], 0)
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "value not in array")
def test_a_value_larger_than_the_array_s_largest_value_is_not_found(self):
with self.assertRaises(ValueError) as err:
find([1, 3, 4, 6, 8, 9, 11], 13)
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "value not in array")
def test_nothing_is_found_in_an_empty_array(self):
with self.assertRaises(ValueError) as err:
find([], 1)
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "value not in array")
def test_nothing_is_found_when_the_left_and_right_bounds_cross(self):
with self.assertRaises(ValueError) as err:
find([1, 2], 0)
self.assertEqual(type(err.exception), ValueError)
self.assertEqual(err.exception.args[0], "value not in array")
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