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* Initial commit * Fixes tests * Fix CI * Fix CI * Fix CI
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@@ -11,13 +11,14 @@ on: | |
- 'docs/requirements.txt' | ||
workflow_dispatch: | ||
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concurrency: | ||
group: ${{ github.head_ref || github.run_id }} | ||
concurrency: | ||
group: test-${{ github.head_ref || github.run_id }} | ||
cancel-in-progress: true | ||
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jobs: | ||
build: | ||
runs-on: ubuntu-latest | ||
fail-fast: false | ||
strategy: | ||
matrix: | ||
python-version: ['3.7', '3.8', '3.9', '3.10'] | ||
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@@ -73,7 +74,7 @@ jobs: | |
poetry run pytest typesafety -p no:cov -o addopts="" --mypy-ini-file=setup.cfg | ||
- name: Upload coverage to Codecov | ||
if: matrix.python-version == 3.8 | ||
if: ${{ matrix.python-version }} == 3.8 | ||
uses: codecov/[email protected] | ||
with: | ||
file: ./coverage.xml |
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.. _do-notation: | ||
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Do Notation | ||
=========== | ||
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.. note:: | ||
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Technical note: this feature requires :ref:`mypy plugin <mypy-plugins>`. | ||
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All containers can be easily composed | ||
with functions that can take a single argument. | ||
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But, what if we need to compose two containers | ||
with a function with two arguments? | ||
That's not so easy. | ||
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Of course, we can use :ref:`curry` and ``.apply`` or some imperative code. | ||
But, it is not very easy to write and read. | ||
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This is why multiple functional languages have a concept of "do-notation". | ||
It allows you to write beautiful imperative code. | ||
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Regular containers | ||
------------------ | ||
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Let's say we have a function called ``add`` which is defined like this: | ||
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.. code:: python | ||
>>> def add(one: int, two: int) -> int: | ||
... return one + two | ||
And we have two containers: ``IO(2)`` and ``IO(3)``. | ||
How can we easily get ``IO(5)`` in this case? | ||
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Luckily, ``IO`` defines :meth:`returns.io.IO.do` which can help us: | ||
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.. code:: python | ||
>>> from returns.io import IO | ||
>>> assert IO.do( | ||
... add(first, second) | ||
... for first in IO(2) | ||
... for second in IO(3) | ||
... ) == IO(5) | ||
Notice, that you don't have two write any complicated code. | ||
Everything is pythonic and readable. | ||
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However, we still need to explain what ``for`` does here. | ||
It uses Python's ``__iter__`` method which returns an iterable | ||
with strictly a single raw value inside. | ||
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.. warning:: | ||
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Please, don't use ``for x in container`` outside of do-notation. | ||
It does not make much sense. | ||
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Basically, for ``IO(2)`` it will return just ``2``. | ||
Then, ``IO.do`` wraps it into ``IO`` once again. | ||
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Errors | ||
~~~~~~ | ||
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Containers like ``Result`` and ``IOResult`` can sometimes represent errors. | ||
In this case, do-notation expression will return the first found error. | ||
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For example: | ||
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.. code:: python | ||
>>> from returns.result import Success, Failure, Result | ||
>>> assert Result.do( | ||
... first + second | ||
... for first in Failure('a') | ||
... for second in Success(3) | ||
... ) == Failure('a') | ||
This behavior is consistent with ``.map`` and other methods. | ||
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Async containers | ||
---------------- | ||
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We also support async containers like ``Future`` and ``FutureResult``. | ||
It works in a similar way as regular sync containers. | ||
But, they require ``async for`` expressions instead of regular ``for`` ones. | ||
And because of that - they cannot be used outsided of ``async def`` context. | ||
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Usage example: | ||
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.. code:: python | ||
>>> import anyio | ||
>>> from returns.future import Future | ||
>>> from returns.io import IO | ||
>>> async def main() -> None: | ||
... return await Future.do( | ||
... first + second | ||
... async for first in Future.from_value(1) | ||
... async for second in Future.from_value(2) | ||
... ) | ||
>>> assert anyio.run(main) == IO(3) | ||
FAQ | ||
--- | ||
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Why don't we allow mixing different container types? | ||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | ||
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One might ask, why don't we allow mixing multiple container types | ||
in a single do-notation expression? | ||
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For example, this code will not what you expect: | ||
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.. code:: python | ||
>>> from returns.result import Result, Success | ||
>>> from returns.io import IOResult, IOSuccess | ||
>>> assert Result.do( | ||
... first + second | ||
... for first in Success(2) | ||
... for second in IOSuccess(3) # Notice the IO part here | ||
... ) == Success(5) | ||
This code will raise a mypy error at ``for second in IOSuccess(3)`` part: | ||
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.. code:: | ||
Invalid type supplied in do-notation: expected "returns.result.Result[Any, Any]", got "returns.io.IOSuccess[builtins.int*]" | ||
Notice, that the ``IO`` part is gone in the final result. This is not right. | ||
And we can't track this in any manner. | ||
So, we require all containers to have the same type. | ||
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The code above must be rewritten as: | ||
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.. code:: python | ||
>>> from returns.result import Success | ||
>>> from returns.io import IOResult, IOSuccess | ||
>>> assert IOResult.do( | ||
... first + second | ||
... for first in IOResult.from_result(Success(2)) | ||
... for second in IOSuccess(3) | ||
... ) == IOSuccess(5) | ||
Now, it is correct. ``IO`` part is safe, the final result is correct. | ||
And mypy is happy. | ||
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Why don't we allow ``if`` conditions in generator expressions? | ||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | ||
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At the moment, using ``if`` conditions inside generator expressions | ||
passed into ``.do`` method is not allowed. Why? | ||
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Because if the ``if`` condition will return ``False``, | ||
we will have an empty iterable and ``StopIteration`` will be thrown. | ||
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.. code:: python | ||
>>> from returns.io import IO | ||
>>> IO.do( | ||
... first + second | ||
... for first in IO(2) | ||
... for second in IO(3) | ||
... if second > 10 | ||
... ) | ||
Traceback (most recent call last): | ||
... | ||
StopIteration | ||
It will raise: | ||
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.. code:: | ||
Using "if" conditions inside a generator is not allowed | ||
Instead, use conditions and checks inside your logic, not inside your generator. | ||
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Why do we require a literal expression in do-notation? | ||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | ||
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This code will work in runtime, but will raise a mypy error: | ||
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.. code:: python | ||
>>> from returns.result import Result, Success | ||
>>> expr = ( | ||
... first + second | ||
... for first in Success(2) | ||
... for second in Success(3) | ||
... ) | ||
>>> | ||
>>> assert Result.do(expr) == Success(5) | ||
It raises: | ||
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.. code:: | ||
Literal generator expression is required, not a variable or function call | ||
This happens, because of mypy's plugin API. | ||
We need the whole expression to make sure it is correct. | ||
We cannot use variables and function calls in its place. | ||
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Further reading | ||
--------------- | ||
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- `Do notation in Haskell <https://en.wikibooks.org/wiki/Haskell/do_notation>`_ |
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