primeiro commit com exercicios de Exercism realizados até esta data
This commit is contained in:
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{
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"authors": [],
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"contributors": [
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"behrtam",
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"BethanyG",
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"cmccandless",
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"Dog",
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"etrepum",
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"GascaK",
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"ikhadykin",
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"kytrinyx",
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"lowks",
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"N-Parsons",
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"pamtdoh",
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"pheanex",
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"sjakobi",
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"tqa236",
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"yawpitch",
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"AndrewLawendy"
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],
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"files": {
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"solution": [
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"gigasecond.py"
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],
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"test": [
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"gigasecond_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 moment, determine the moment that would be after a gigasecond has passed.",
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"source": "Chapter 9 in Chris Pine's online Learn to Program tutorial.",
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"source_url": "https://pine.fm/LearnToProgram/?Chapter=09"
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}
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{"track":"python","exercise":"gigasecond","id":"4f8eda778f1246189ad8495417846e1d","url":"https://exercism.org/tracks/python/exercises/gigasecond","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 gigasecond.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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# Hints
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## General
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- Your function should parse the passed-in [datetime object][datetime], add a gigasecond's worth of time to it, and then return the result.
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- If you're having trouble, remember to take a look at the provided test cases under the Tests tab. These will help you figure out what the expected inputs and outputs of your function(s) should be.
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- Most of the time, code is read rather than written, and a big number can be a challenge to read. Here are a couple of approaches to making big numbers in your code more readable:
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- Using underscores (`_`) in numeric literals can help offset thousands, hundred-thousands, millions, etc. (_**ie:** `1_000_000` or `10_100_201_330` is far more readable than `1000000` or `10100201330`._) See [PEP-0515][underscores_notation] for more information.
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- Scientific notation can be more compact and easier to scan when there are very large numbers (_**ie:** `1e6`, 1 is multiplied by 10 raised to the power of 6, which equals `1000000`_). For more information, see this reference on [scientific notation][scientific_notation].
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[datetime]: https://docs.python.org/3.9/library/datetime.html#datetime.datetime
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[scientific_notation]: https://python-reference.readthedocs.io/en/latest/docs/float/scientific.html
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[underscores_notation]: https://peps.python.org/pep-0515/#:~:text=The%20syntax%20would%20be%20the,width%20of%2010%20with%20*%20separator.
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# Gigasecond
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Welcome to Gigasecond 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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If you get stuck on the exercise, check out `HINTS.md`, but try and solve it without using those first :)
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## Introduction
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The way we measure time is kind of messy.
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We have 60 seconds in a minute, and 60 minutes in an hour.
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This comes from ancient Babylon, where they used 60 as the basis for their number system.
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We have 24 hours in a day, 7 days in a week, and how many days in a month?
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Well, for days in a month it depends not only on which month it is, but also on what type of calendar is used in the country you live in.
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What if, instead, we only use seconds to express time intervals?
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Then we can use metric system prefixes for writing large numbers of seconds in more easily comprehensible quantities.
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- A food recipe might explain that you need to let the brownies cook in the oven for two kiloseconds (that's two thousand seconds).
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- Perhaps you and your family would travel to somewhere exotic for two megaseconds (that's two million seconds).
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- And if you and your spouse were married for _a thousand million_ seconds, you would celebrate your one gigasecond anniversary.
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~~~~exercism/note
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If we ever colonize Mars or some other planet, measuring time is going to get even messier.
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If someone says "year" do they mean a year on Earth or a year on Mars?
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The idea for this exercise came from the science fiction novel ["A Deepness in the Sky"][vinge-novel] by author Vernor Vinge.
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In it the author uses the metric system as the basis for time measurements.
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[vinge-novel]: https://www.tor.com/2017/08/03/science-fiction-with-something-for-everyone-a-deepness-in-the-sky-by-vernor-vinge/
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~~~~
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## Instructions
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Your task is to determine the date and time one gigasecond after a certain date.
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A gigasecond is one thousand million seconds.
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That is a one with nine zeros after it.
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If you were born on _January 24th, 2015 at 22:00 (10:00:00pm)_, then you would be a gigasecond old on _October 2nd, 2046 at 23:46:40 (11:46:40pm)_.
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## Reading and Writing Long Numbers
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Code is more often _read_ than it is written, and reading a big/long number within other text can be a challenge.
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Here are two approaches to making numbers more readable:
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1. Using underscores in Numeric Literals. `1_000_000` is more readable than `1000000`, and `10_100_201_330` is easier to scan than `10100201330`. For more information, see [PEP-0515][underscores_notation].
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2. Using exponential notation or scientific notation. The e (or E) character followed by an integer represents the power of 10 by which the number preceding the e should be multiplied (_**ie:** `1e6`, 1 is multiplied by 10 raised to the power of 6, which equals `1000000`_). For more details, check out this reference on [scientific notation][scientific_notation].
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## Dates and Times in Python
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This exercise explores objects from Python's `datetime` module:
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- [Official Python documentation on the datetime module][datetime]
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- [datetime objects][datetime.datetime]
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- [timedelta objects][datetime.timedelta]
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[datetime.datetime]: https://docs.python.org/3.9/library/datetime.html#datetime.datetime
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[datetime.timedelta]: https://docs.python.org/3.9/library/datetime.html#timedelta-objects
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[datetime]: https://docs.python.org/3.9/library/datetime.html#module-datetime
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[scientific_notation]: https://python-reference.readthedocs.io/en/latest/docs/float/scientific.html
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[underscores_notation]: https://peps.python.org/pep-0515/#:~:text=The%20syntax%20would%20be%20the,width%20of%2010%20with%20*%20separator.
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## Source
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### Contributed to by
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- @behrtam
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- @BethanyG
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- @cmccandless
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- @Dog
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- @etrepum
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- @GascaK
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- @ikhadykin
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- @kytrinyx
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- @lowks
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- @N-Parsons
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- @pamtdoh
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- @pheanex
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- @sjakobi
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- @tqa236
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- @yawpitch
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- @AndrewLawendy
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### Based on
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Chapter 9 in Chris Pine's online Learn to Program tutorial. - https://pine.fm/LearnToProgram/?Chapter=09
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from datetime import datetime, timedelta
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def add(moment: datetime) -> datetime:
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return moment + timedelta(seconds=1_000_000_000)
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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/gigasecond/canonical-data.json
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# File last updated on 2023-07-19
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from datetime import datetime
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import unittest
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from gigasecond import (
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add,
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)
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class GigasecondTest(unittest.TestCase):
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def test_date_only_specification_of_time(self):
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self.assertEqual(
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add(datetime(2011, 4, 25, 0, 0)), datetime(2043, 1, 1, 1, 46, 40)
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)
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def test_second_test_for_date_only_specification_of_time(self):
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self.assertEqual(
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add(datetime(1977, 6, 13, 0, 0)), datetime(2009, 2, 19, 1, 46, 40)
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)
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def test_third_test_for_date_only_specification_of_time(self):
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self.assertEqual(
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add(datetime(1959, 7, 19, 0, 0)), datetime(1991, 3, 27, 1, 46, 40)
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)
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def test_full_time_specified(self):
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self.assertEqual(
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add(datetime(2015, 1, 24, 22, 0)), datetime(2046, 10, 2, 23, 46, 40)
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)
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def test_full_time_with_day_roll_over(self):
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self.assertEqual(
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add(datetime(2015, 1, 24, 23, 59, 59)), datetime(2046, 10, 3, 1, 46, 39)
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)
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