## Summary
The motivation here is that this enables us to implement `Ranged` in
crates that don't depend on `ruff_python_ast`.
Largely a mechanical refactor with a lot of regex, Clippy help, and
manual fixups.
## Test Plan
`cargo test`
## Summary
In https://github.com/astral-sh/ruff/pull/6512, we added a flag to the
AST to mark implicitly-concatenated string expressions. This PR makes
use of that flag to remove the `is_implicit_concatenation` method.
## Test Plan
`cargo test`
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## Summary
Format bytes string
Closes#6064
## Test Plan
Added a fixture based on string's one
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## Summary
I started working on this because I assumed that I would need access to options inside of `NeedsParantheses` but it then turned out that I won't.
Anyway, it kind of felt nice to pass fewer arguments. So I'm gonna put this out here to get your feedback if you prefer this over passing individual fiels.
Oh, I sneeked in another change. I renamed `context.contents` to `source`. `contents` is too generic and doesn't tell you anything.
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## Test Plan
It compiles
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## Summary
This PR implements formatting for non-f-string Strings that do not use implicit concatenation.
Docstring formatting is out of the scope of this PR.
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## Test Plan
I added a few tests for simple string literals.
## Performance
Ouch. This is hitting performance somewhat hard. This is probably because we now iterate each string a couple of times:
1. To detect if it is an implicit string continuation
2. To detect if the string contains any new lines
3. To detect the preferred quote
4. To normalize the string
Edit: I integrated the detection of newlines into the preferred quote detection so that we only iterate the string three time.
We can probably do better by merging the implicit string continuation with the quote detection and new line detection by iterating till the end of the string part and returning the offset. We then use our simple tokenizer to skip over any comments or whitespace until we find the first non trivia token. From there we keep continue doing this in a loop until we reach the end o the string. I'll leave this improvement for later.
## Summary
This fixes a number of problems in the formatter that showed up with
various files in the [cpython](https://github.com/python/cpython)
repository. These problems surfaced as unstable formatting and invalid
code. This is not the entirety of problems discovered through cpython,
but a big enough chunk to separate it. Individual fixes are generally
individual commits. They were discovered with #5055, which i update as i
work through the output
## Test Plan
I added regression tests with links to cpython for each entry, except
for the two stubs that also got comment stubs since they'll be
implemented properly later.
* A basic StmtAssign formatter and better dummies for expressions
The goal of this PR was formatting StmtAssign since many nodes in the black tests (and in python in general) are after an assignment. This caused unstable formatting: The spacing of power op spacing depends on the type of the two involved expressions, but each expression was formatted as dummy string and re-parsed as a ExprName, so in the second round the different rules of ExprName were applied, causing unstable formatting.
This PR does not necessarily bring us closer to black's style, but it unlocks a good porting of black's test suite and is a basis for implementing the Expr nodes.
* fmt
* Review
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## Summary
This PR replaces the `verbatim_text` builder with a `not_yet_implemented` builder that emits `NOT_YET_IMPLEMENTED_<NodeKind>` for not yet implemented nodes.
The motivation for this change is that partially formatting compound statements can result in incorrectly indented code, which is a syntax error:
```python
def func_no_args():
a; b; c
if True: raise RuntimeError
if False: ...
for i in range(10):
print(i)
continue
```
Get's reformatted to
```python
def func_no_args():
a; b; c
if True: raise RuntimeError
if False: ...
for i in range(10):
print(i)
continue
```
because our formatter does not yet support `for` statements and just inserts the text from the source.
## Downsides
Using an identifier will not work in all situations. For example, an identifier is invalid in an `Arguments ` position. That's why I kept `verbatim_text` around and e.g. use it in the `Arguments` formatting logic where incorrect indentations are impossible (to my knowledge). Meaning, `verbatim_text` we can opt in to `verbatim_text` when we want to iterate quickly on nodes that we don't want to provide a full implementation yet and using an identifier would be invalid.
## Upsides
Running this on main discovered stability issues with the newline handling that were previously "hidden" because of the verbatim formatting. I guess that's an upside :)
## Test Plan
None?
