yapf 0.22.0

A formatter for Python code.

====
YAPF
====

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:alt: PyPI version

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:target: https://travis-ci.org/google/yapf
:alt: Build status

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:alt: Coverage status


Introduction
============

Most of the current formatters for Python --- e.g., autopep8, and pep8ify ---
are made to remove lint errors from code. This has some obvious limitations.
For instance, code that conforms to the PEP 8 guidelines may not be
reformatted. But it doesn't mean that the code looks good.

YAPF takes a different approach. It's based off of 'clang-format', developed by
Daniel Jasper. In essence, the algorithm takes the code and reformats it to the
best formatting that conforms to the style guide, even if the original code
didn't violate the style guide. The idea is also similar to the 'gofmt' tool for
the Go programming language: end all holy wars about formatting - if the whole
codebase of a project is simply piped through YAPF whenever modifications are
made, the style remains consistent throughout the project and there's no point
arguing about style in every code review.

The ultimate goal is that the code YAPF produces is as good as the code that a
programmer would write if they were following the style guide. It takes away
some of the drudgery of maintaining your code.

Try out YAPF with this `online demo <https://yapf.now.sh>`_.

.. footer::

YAPF is not an official Google product (experimental or otherwise), it is
just code that happens to be owned by Google.

.. contents::


Installation
============

To install YAPF from PyPI:

.. code-block::

$ pip install yapf

(optional) If you are using Python 2.7 and want to enable multiprocessing:

.. code-block::

$ pip install futures

YAPF is still considered in "alpha" stage, and the released version may change
often; therefore, the best way to keep up-to-date with the latest development
is to clone this repository.

Note that if you intend to use YAPF as a command-line tool rather than as a
library, installation is not necessary. YAPF supports being run as a directory
by the Python interpreter. If you cloned/unzipped YAPF into ``DIR``, it's
possible to run:

.. code-block::

$ PYTHONPATH=DIR python DIR/yapf [options] ...


Python versions
===============

YAPF supports Python 2.7 and 3.6.4+. (Note that some Python 3 features may fail
to parse with Python versions before 3.6.4.)

YAPF requires the code it formats to be valid Python for the version YAPF itself
runs under. Therefore, if you format Python 3 code with YAPF, run YAPF itself
under Python 3 (and similarly for Python 2).


Usage
=====

Options::

usage: yapf [-h] [-v] [-d | -i] [-r | -l START-END] [-e PATTERN]
[--style STYLE] [--style-help] [--no-local-style] [-p]
[-vv]
[files [files ...]]

Formatter for Python code.

positional arguments:
files

optional arguments:
-h, --help show this help message and exit
-v, --version show version number and exit
-d, --diff print the diff for the fixed source
-i, --in-place make changes to files in place
-r, --recursive run recursively over directories
-l START-END, --lines START-END
range of lines to reformat, one-based
-e PATTERN, --exclude PATTERN
patterns for files to exclude from formatting
--style STYLE specify formatting style: either a style name (for
example "pep8" or "google"), or the name of a file
with style settings. The default is pep8 unless a
.style.yapf or setup.cfg file located in the same
directory as the source or one of its parent
directories (for stdin, the current directory is
used).
--style-help show style settings and exit; this output can be saved
to .style.yapf to make your settings permanent
--no-local-style don't search for local style definition
-p, --parallel Run yapf in parallel when formatting multiple files.
Requires concurrent.futures in Python 2.X
-vv, --verbose Print out file names while processing


------------
Return Codes
------------

Normally YAPF returns zero on successful program termination and non-zero otherwise.

If ``--diff`` is supplied, YAPF returns zero when no changes were necessary, non-zero
otherwise (including program error). You can use this in a CI workflow to test that code
has been YAPF-formatted.


Formatting style
================

The formatting style used by YAPF is configurable and there are many "knobs"
that can be used to tune how YAPF does formatting. See the ``style.py`` module
for the full list.

To control the style, run YAPF with the ``--style`` argument. It accepts one of
the predefined styles (e.g., ``pep8`` or ``google``), a path to a configuration
file that specifies the desired style, or a dictionary of key/value pairs.

The config file is a simple listing of (case-insensitive) ``key = value`` pairs
with a ``[style]`` heading. For example:

.. code-block::

[style]
based_on_style = pep8
spaces_before_comment = 4
split_before_logical_operator = true

The ``based_on_style`` setting determines which of the predefined styles this
custom style is based on (think of it like subclassing).

It's also possible to do the same on the command line with a dictionary. For
example:

.. code-block::

--style='{based_on_style: chromium, indent_width: 4}'

This will take the ``chromium`` base style and modify it to have four space
indentations.

YAPF will search for the formatting style in the following manner:

1. Specified on the command line
2. In the `[style]` section of a `.style.yapf` file in either the current
directory or one of its parent directories.
3. In the `[yapf]` section of a `setup.cfg` file in either the current
directory or one of its parent directories.
4. In the `~/.config/yapf/style` file in your home directory.

If none of those files are found, the default style is used (PEP8).


Example
=======

An example of the type of formatting that YAPF can do, it will take this ugly
code:

.. code-block:: python

x = { 'a':37,'b':42,

'c':927}

y = 'hello ''world'
z = 'hello '+'world'
a = 'hello {}'.format('world')
class foo ( object ):
def f (self ):
return 37*-+2
def g(self, x,y=42):
return y
def f ( a ) :
return 37+-+a[42-x : y**3]

and reformat it into:

.. code-block:: python

x = {'a': 37, 'b': 42, 'c': 927}

y = 'hello ' 'world'
z = 'hello ' + 'world'
a = 'hello {}'.format('world')


class foo(object):
def f(self):
return 37 * -+2

def g(self, x, y=42):
return y


def f(a):
return 37 + -+a[42 - x:y**3]


Example as a module
===================

The two main APIs for calling yapf are ``FormatCode`` and ``FormatFile``, these
share several arguments which are described below:

.. code-block:: python

>>> from yapf.yapflib.yapf_api import FormatCode # reformat a string of code

>>> FormatCode("f ( a = 1, b = 2 )")
'f(a=1, b=2)\n'

A ``style_config`` argument: Either a style name or a path to a file that contains
formatting style settings. If None is specified, use the default style
as set in ``style.DEFAULT_STYLE_FACTORY``.

.. code-block:: python

>>> FormatCode("def g():\n return True", style_config='pep8')
'def g():\n return True\n'

A ``lines`` argument: A list of tuples of lines (ints), [start, end],
that we want to format. The lines are 1-based indexed. It can be used by
third-party code (e.g., IDEs) when reformatting a snippet of code rather
than a whole file.

.. code-block:: python

>>> FormatCode("def g( ):\n a=1\n b = 2\n return a==b", lines=[(1, 1), (2, 3)])
'def g():\n a = 1\n b = 2\n return a==b\n'

A ``print_diff`` (bool): Instead of returning the reformatted source, return a
diff that turns the formatted source into reformatter source.

.. code-block:: python

>>> print(FormatCode("a==b", filename="foo.py", print_diff=True))
--- foo.py (original)
+++ foo.py (reformatted)
@@ -1 +1 @@
-a==b
+a == b

Note: the ``filename`` argument for ``FormatCode`` is what is inserted into
the diff, the default is ``<unknown>``.

``FormatFile`` returns reformatted code from the passed file along with its encoding:

.. code-block:: python

>>> from yapf.yapflib.yapf_api import FormatFile # reformat a file

>>> print(open("foo.py").read()) # contents of file
a==b

>>> FormatFile("foo.py")
('a == b\n', 'utf-8')

The ``in-place`` argument saves the reformatted code back to the file:

.. code-block:: python

>>> FormatFile("foo.py", in_place=True)
(None, 'utf-8')

>>> print(open("foo.py").read()) # contents of file (now fixed)
a == b


Knobs
=====

``ALIGN_CLOSING_BRACKET_WITH_VISUAL_INDENT``
Align closing bracket with visual indentation.

``ALLOW_MULTILINE_LAMBDAS``
Allow lambdas to be formatted on more than one line.

``ALLOW_MULTILINE_DICTIONARY_KEYS``
Allow dictionary keys to exist on multiple lines. For example:

.. code-block:: python

x = {
('this is the first element of a tuple',
'this is the second element of a tuple'):
value,
}

``ALLOW_SPLIT_BEFORE_DICT_VALUE``
Allow splits before the dictionary value.

``BLANK_LINE_BEFORE_NESTED_CLASS_OR_DEF``
Insert a blank line before a ``def`` or ``class`` immediately nested within
another ``def`` or ``class``. For example:

.. code-block:: python

class Foo:
# <------ this blank line
def method():
pass

``BLANK_LINE_BEFORE_MODULE_DOCSTRING``
Insert a blank line before a module docstring.

``BLANK_LINE_BEFORE_CLASS_DOCSTRING``
Insert a blank line before a class-level docstring.

``BLANK_LINES_AROUND_TOP_LEVEL_DEFINITION``
Sets the number of desired blank lines surrounding top-level function and
class definitions. For example:

.. code-block:: python

class Foo:
pass
# <------ having two blank lines here
# <------ is the default setting
class Bar:
pass

``COALESCE_BRACKETS``
Do not split consecutive brackets. Only relevant when
``DEDENT_CLOSING_BRACKETS`` is set. For example:

.. code-block:: python

call_func_that_takes_a_dict(
{
'key1': 'value1',
'key2': 'value2',
}
)

would reformat to:

.. code-block:: python

call_func_that_takes_a_dict({
'key1': 'value1',
'key2': 'value2',
})


``COLUMN_LIMIT``
The column limit (or max line-length)

``CONTINUATION_ALIGN_STYLE``
The style for continuation alignment. Possible values are:

- SPACE: Use spaces for continuation alignment. This is default behavior.
- FIXED: Use fixed number (CONTINUATION_INDENT_WIDTH) of columns
(ie: CONTINUATION_INDENT_WIDTH/INDENT_WIDTH tabs) for continuation
alignment.
- VALIGN-RIGHT: Vertically align continuation lines with indent characters.
Slightly right (one more indent character) if cannot vertically align
continuation lines with indent characters.

For options ``FIXED``, and ``VALIGN-RIGHT`` are only available when
``USE_TABS`` is enabled.

``CONTINUATION_INDENT_WIDTH``
Indent width used for line continuations.

``DEDENT_CLOSING_BRACKETS``
Put closing brackets on a separate line, dedented, if the bracketed
expression can't fit in a single line. Applies to all kinds of brackets,
including function definitions and calls. For example:

.. code-block:: python

config = {
'key1': 'value1',
'key2': 'value2',
} # <--- this bracket is dedented and on a separate line

time_series = self.remote_client.query_entity_counters(
entity='dev3246.region1',
key='dns.query_latency_tcp',
transform=Transformation.AVERAGE(window=timedelta(seconds=60)),
start_ts=now()-timedelta(days=3),
end_ts=now(),
) # <--- this bracket is dedented and on a separate line

``EACH_DICT_ENTRY_ON_SEPARATE_LINE``
Place each dictionary entry onto its own line.

``I18N_COMMENT``
The regex for an internationalization comment. The presence of this comment
stops reformatting of that line, because the comments are required to be
next to the string they translate.

``I18N_FUNCTION_CALL``
The internationalization function call names. The presence of this function
stops reformatting on that line, because the string it has cannot be moved
away from the i18n comment.

``INDENT_DICTIONARY_VALUE``
Indent the dictionary value if it cannot fit on the same line as the
dictionary key. For example:

.. code-block:: python

config = {
'key1':
'value1',
'key2': value1 +
value2,
}

``INDENT_WIDTH``
The number of columns to use for indentation.

``JOIN_MULTIPLE_LINES``
Join short lines into one line. E.g., single line ``if`` statements.

``SPACES_AROUND_POWER_OPERATOR``
Set to ``True`` to prefer using spaces around ``**``.

``NO_SPACES_AROUND_SELECTED_BINARY_OPERATORS``
Do not include spaces around selected binary operators. For example:

.. code-block:: python

1 + 2 * 3 - 4 / 5

will be formatted as follows when configured with a value ``"*,/"``:

.. code-block:: python

1 + 2*3 - 4/5

``SPACES_AROUND_DEFAULT_OR_NAMED_ASSIGN``
Set to ``True`` to prefer spaces around the assignment operator for default
or keyword arguments.

``SPACES_BEFORE_COMMENT``
The number of spaces required before a trailing comment.

``SPACE_BETWEEN_ENDING_COMMA_AND_CLOSING_BRACKET``
Insert a space between the ending comma and closing bracket of a list, etc.

``SPLIT_ARGUMENTS_WHEN_COMMA_TERMINATED``
Split before arguments if the argument list is terminated by a comma.

``SPLIT_ALL_COMMA_SEPARATED_VALUES``
If a comma separated list (dict, list, tuple, or function def) is on a
line that is too long, split such that all elements are on a single line.

``SPLIT_BEFORE_BITWISE_OPERATOR``
Set to ``True`` to prefer splitting before ``&``, ``|`` or ``^`` rather
than after.

``SPLIT_BEFORE_CLOSING_BRACKET``
Split before the closing bracket if a list or dict literal doesn't fit on
a single line.

``SPLIT_BEFORE_DICT_SET_GENERATOR``
Split before a dictionary or set generator (comp_for). For example, note
the split before the ``for``:

.. code-block:: python

foo = {
variable: 'Hello world, have a nice day!'
for variable in bar if variable != 42
}

``SPLIT_BEFORE_EXPRESSION_AFTER_OPENING_PAREN``
Split after the opening paren which surrounds an expression if it doesn't
fit on a single line.

``SPLIT_BEFORE_FIRST_ARGUMENT``
If an argument / parameter list is going to be split, then split before the
first argument.

``SPLIT_BEFORE_LOGICAL_OPERATOR``
Set to ``True`` to prefer splitting before ``and`` or ``or`` rather than
after.

``SPLIT_BEFORE_NAMED_ASSIGNS``
Split named assignments onto individual lines.

``SPLIT_COMPLEX_COMPREHENSION``
For list comprehensions and generator expressions with multiple clauses
(e.g multiple "for" calls, "if" filter expressions) and which need to be
reflowed, split each clause onto its own line. For example:

.. code-block:: python

result = [
a_var + b_var for a_var in xrange(1000) for b_var in xrange(1000)
if a_var % b_var]

would reformat to something like:

.. code-block:: python

result = [
a_var + b_var
for a_var in xrange(1000)
for b_var in xrange(1000)
if a_var % b_var]

``SPLIT_PENALTY_AFTER_OPENING_BRACKET``
The penalty for splitting right after the opening bracket.

``SPLIT_PENALTY_AFTER_UNARY_OPERATOR``
The penalty for splitting the line after a unary operator.

``SPLIT_PENALTY_BEFORE_IF_EXPR``
The penalty for splitting right before an ``if`` expression.

``SPLIT_PENALTY_BITWISE_OPERATOR``
The penalty of splitting the line around the ``&``, ``|``, and ``^``
operators.

``SPLIT_PENALTY_COMPREHENSION``
The penalty for splitting a list comprehension or generator expression.

``SPLIT_PENALTY_EXCESS_CHARACTER``
The penalty for characters over the column limit.

``SPLIT_PENALTY_FOR_ADDED_LINE_SPLIT``
The penalty incurred by adding a line split to the unwrapped line. The more
line splits added the higher the penalty.

``SPLIT_PENALTY_IMPORT_NAMES``
The penalty of splitting a list of ``import as`` names. For example:

.. code-block:: python

from a_very_long_or_indented_module_name_yada_yad import (long_argument_1,
long_argument_2,
long_argument_3)

would reformat to something like:

.. code-block:: python

from a_very_long_or_indented_module_name_yada_yad import (
long_argument_1, long_argument_2, long_argument_3)

``SPLIT_PENALTY_LOGICAL_OPERATOR``
The penalty of splitting the line around the ``and`` and ``or`` operators.

``USE_TABS``
Use the Tab character for indentation.

(Potentially) Frequently Asked Questions
========================================

Why does YAPF destroy my awesome formatting?
--------------------------------------------

YAPF tries very hard to get the formatting correct. But for some code, it won't
be as good as hand-formatting. In particular, large data literals may become
horribly disfigured under YAPF.

The reasons for this are manyfold. In short, YAPF is simply a tool to help
with development. It will format things to coincide with the style guide, but
that may not equate with readability.

What can be done to alleviate this situation is to indicate regions YAPF should
ignore when reformatting something:

.. code-block:: python

# yapf: disable
FOO = {
# ... some very large, complex data literal.
}

BAR = [
# ... another large data literal.
]
# yapf: enable

You can also disable formatting for a single literal like this:

.. code-block:: python

BAZ = {
(1, 2, 3, 4),
(5, 6, 7, 8),
(9, 10, 11, 12),
} # yapf: disable

To preserve the nice dedented closing brackets, use the
``dedent_closing_brackets`` in your style. Note that in this case all
brackets, including function definitions and calls, are going to use
that style. This provides consistency across the formatted codebase.

Why Not Improve Existing Tools?
-------------------------------

We wanted to use clang-format's reformatting algorithm. It's very powerful and
designed to come up with the best formatting possible. Existing tools were
created with different goals in mind, and would require extensive modifications
to convert to using clang-format's algorithm.

Can I Use YAPF In My Program?
-----------------------------

Please do! YAPF was designed to be used as a library as well as a command line
tool. This means that a tool or IDE plugin is free to use YAPF.


Gory Details
============

Algorithm Design
----------------

The main data structure in YAPF is the ``UnwrappedLine`` object. It holds a list
of ``FormatToken``\s, that we would want to place on a single line if there were
no column limit. An exception being a comment in the middle of an expression
statement will force the line to be formatted on more than one line. The
formatter works on one ``UnwrappedLine`` object at a time.

An ``UnwrappedLine`` typically won't affect the formatting of lines before or
after it. There is a part of the algorithm that may join two or more
``UnwrappedLine``\s into one line. For instance, an if-then statement with a
short body can be placed on a single line:

.. code-block:: python

if a == 42: continue

YAPF's formatting algorithm creates a weighted tree that acts as the solution
space for the algorithm. Each node in the tree represents the result of a
formatting decision --- i.e., whether to split or not to split before a token.
Each formatting decision has a cost associated with it. Therefore, the cost is
realized on the edge between two nodes. (In reality, the weighted tree doesn't
have separate edge objects, so the cost resides on the nodes themselves.)

For example, take the following Python code snippet. For the sake of this
example, assume that line (1) violates the column limit restriction and needs to
be reformatted.

.. code-block:: python

def xxxxxxxxxxx(aaaaaaaaaaaa, bbbbbbbbb, cccccccc, dddddddd, eeeeee): # 1
pass # 2

For line (1), the algorithm will build a tree where each node (a
``FormattingDecisionState`` object) is the state of the line at that token given
the decision to split before the token or not. Note: the ``FormatDecisionState``
objects are copied by value so each node in the graph is unique and a change in
one doesn't affect other nodes.

Heuristics are used to determine the costs of splitting or not splitting.
Because a node holds the state of the tree up to a token's insertion, it can
easily determine if a splitting decision will violate one of the style
requirements. For instance, the heuristic is able to apply an extra penalty to
the edge when not splitting between the previous token and the one being added.

There are some instances where we will never want to split the line, because
doing so will always be detrimental (i.e., it will require a backslash-newline,
which is very rarely desirable). For line (1), we will never want to split the
first three tokens: ``def``, ``xxxxxxxxxxx``, and ``(``. Nor will we want to
split between the ``)`` and the ``:`` at the end. These regions are said to be
"unbreakable." This is reflected in the tree by there not being a "split"
decision (left hand branch) within the unbreakable region.

Now that we have the tree, we determine what the "best" formatting is by finding
the path through the tree with the lowest cost.

And that's it!