from abc import ABC, abstractmethod
from collections import defaultdict
from dataclasses import dataclass
-import regex as re
+import re
from typing import (
Any,
Callable,
+ ClassVar,
Collection,
Dict,
Iterable,
List,
Optional,
Sequence,
+ Set,
Tuple,
TypeVar,
Union,
)
+import sys
+
+if sys.version_info < (3, 8):
+ from typing_extensions import Literal, Final
+else:
+ from typing import Literal, Final
+
+from mypy_extensions import trait
from black.rusty import Result, Ok, Err
return Err(cant_transform)
-@dataclass # type: ignore
+def hug_power_op(line: Line, features: Collection[Feature]) -> Iterator[Line]:
+ """A transformer which normalizes spacing around power operators."""
+
+ # Performance optimization to avoid unnecessary Leaf clones and other ops.
+ for leaf in line.leaves:
+ if leaf.type == token.DOUBLESTAR:
+ break
+ else:
+ raise CannotTransform("No doublestar token was found in the line.")
+
+ def is_simple_lookup(index: int, step: Literal[1, -1]) -> bool:
+ # Brackets and parentheses indicate calls, subscripts, etc. ...
+ # basically stuff that doesn't count as "simple". Only a NAME lookup
+ # or dotted lookup (eg. NAME.NAME) is OK.
+ if step == -1:
+ disallowed = {token.RPAR, token.RSQB}
+ else:
+ disallowed = {token.LPAR, token.LSQB}
+
+ while 0 <= index < len(line.leaves):
+ current = line.leaves[index]
+ if current.type in disallowed:
+ return False
+ if current.type not in {token.NAME, token.DOT} or current.value == "for":
+ # If the current token isn't disallowed, we'll assume this is simple as
+ # only the disallowed tokens are semantically attached to this lookup
+ # expression we're checking. Also, stop early if we hit the 'for' bit
+ # of a comprehension.
+ return True
+
+ index += step
+
+ return True
+
+ def is_simple_operand(index: int, kind: Literal["base", "exponent"]) -> bool:
+ # An operand is considered "simple" if's a NAME, a numeric CONSTANT, a simple
+ # lookup (see above), with or without a preceding unary operator.
+ start = line.leaves[index]
+ if start.type in {token.NAME, token.NUMBER}:
+ return is_simple_lookup(index, step=(1 if kind == "exponent" else -1))
+
+ if start.type in {token.PLUS, token.MINUS, token.TILDE}:
+ if line.leaves[index + 1].type in {token.NAME, token.NUMBER}:
+ # step is always one as bases with a preceding unary op will be checked
+ # for simplicity starting from the next token (so it'll hit the check
+ # above).
+ return is_simple_lookup(index + 1, step=1)
+
+ return False
+
+ leaves: List[Leaf] = []
+ should_hug = False
+ for idx, leaf in enumerate(line.leaves):
+ new_leaf = leaf.clone()
+ if should_hug:
+ new_leaf.prefix = ""
+ should_hug = False
+
+ should_hug = (
+ (0 < idx < len(line.leaves) - 1)
+ and leaf.type == token.DOUBLESTAR
+ and is_simple_operand(idx - 1, kind="base")
+ and line.leaves[idx - 1].value != "lambda"
+ and is_simple_operand(idx + 1, kind="exponent")
+ )
+ if should_hug:
+ new_leaf.prefix = ""
+
+ leaves.append(new_leaf)
+
+ yield Line(
+ mode=line.mode,
+ depth=line.depth,
+ leaves=leaves,
+ comments=line.comments,
+ bracket_tracker=line.bracket_tracker,
+ inside_brackets=line.inside_brackets,
+ should_split_rhs=line.should_split_rhs,
+ magic_trailing_comma=line.magic_trailing_comma,
+ )
+
+
class StringTransformer(ABC):
"""
An implementation of the Transformer protocol that relies on its
as much as possible.
"""
- line_length: int
- normalize_strings: bool
- __name__ = "StringTransformer"
+ __name__: Final = "StringTransformer"
+
+ # Ideally this would be a dataclass, but unfortunately mypyc breaks when used with
+ # `abc.ABC`.
+ def __init__(self, line_length: int, normalize_strings: bool) -> None:
+ self.line_length = line_length
+ self.normalize_strings = normalize_strings
@abstractmethod
def do_match(self, line: Line) -> TMatchResult:
break_idx: int
+@trait
class CustomSplitMapMixin:
"""
This mixin class is used to map merged strings to a sequence of
the resultant substrings go over the configured max line length.
"""
- _Key = Tuple[StringID, str]
- _CUSTOM_SPLIT_MAP: Dict[_Key, Tuple[CustomSplit, ...]] = defaultdict(tuple)
+ _Key: ClassVar = Tuple[StringID, str]
+ _CUSTOM_SPLIT_MAP: ClassVar[Dict[_Key, Tuple[CustomSplit, ...]]] = defaultdict(
+ tuple
+ )
@staticmethod
def _get_key(string: str) -> "CustomSplitMapMixin._Key":
return key in self._CUSTOM_SPLIT_MAP
-class StringMerger(CustomSplitMapMixin, StringTransformer):
+class StringMerger(StringTransformer, CustomSplitMapMixin):
"""StringTransformer that merges strings together.
Requirements:
is_valid_index = is_valid_index_factory(LL)
- for (i, leaf) in enumerate(LL):
+ for i, leaf in enumerate(LL):
if (
leaf.type == token.STRING
and is_valid_index(i + 1)
and is_valid_index(next_str_idx)
and LL[next_str_idx].type == token.STRING
):
- prefix = get_string_prefix(LL[next_str_idx].value)
+ prefix = get_string_prefix(LL[next_str_idx].value).lower()
next_str_idx += 1
# The next loop merges the string group. The final string will be
num_of_strings += 1
SS = LL[next_str_idx].value
- next_prefix = get_string_prefix(SS)
+ next_prefix = get_string_prefix(SS).lower()
# If this is an f-string group but this substring is not prefixed
# with 'f'...
if "f" in prefix and "f" not in next_prefix:
# Then we must escape any braces contained in this substring.
- SS = re.subf(r"(\{|\})", "{1}{1}", SS)
+ SS = re.sub(r"(\{|\})", r"\1\1", SS)
NSS = make_naked(SS, next_prefix)
# Build the final line ('new_line') that this method will later return.
new_line = line.clone()
- for (i, leaf) in enumerate(LL):
+ for i, leaf in enumerate(LL):
if i == string_idx:
new_line.append(string_leaf)
return TErr("StringMerger does NOT merge multiline strings.")
num_of_strings += 1
- prefix = get_string_prefix(leaf.value)
+ prefix = get_string_prefix(leaf.value).lower()
if "r" in prefix:
return TErr("StringMerger does NOT merge raw strings.")
is_valid_index = is_valid_index_factory(LL)
- for (idx, leaf) in enumerate(LL):
+ for idx, leaf in enumerate(LL):
# Should be a string...
if leaf.type != token.STRING:
continue
* The target string is not a multiline (i.e. triple-quote) string.
"""
- STRING_OPERATORS = [
+ STRING_OPERATORS: Final = [
token.EQEQUAL,
token.GREATER,
token.GREATEREQUAL,
return max_string_length
-class StringSplitter(CustomSplitMapMixin, BaseStringSplitter):
+def iter_fexpr_spans(s: str) -> Iterator[Tuple[int, int]]:
+ """
+ Yields spans corresponding to expressions in a given f-string.
+ Spans are half-open ranges (left inclusive, right exclusive).
+ Assumes the input string is a valid f-string, but will not crash if the input
+ string is invalid.
+ """
+ stack: List[int] = [] # our curly paren stack
+ i = 0
+ while i < len(s):
+ if s[i] == "{":
+ # if we're in a string part of the f-string, ignore escaped curly braces
+ if not stack and i + 1 < len(s) and s[i + 1] == "{":
+ i += 2
+ continue
+ stack.append(i)
+ i += 1
+ continue
+
+ if s[i] == "}":
+ if not stack:
+ i += 1
+ continue
+ j = stack.pop()
+ # we've made it back out of the expression! yield the span
+ if not stack:
+ yield (j, i + 1)
+ i += 1
+ continue
+
+ # if we're in an expression part of the f-string, fast forward through strings
+ # note that backslashes are not legal in the expression portion of f-strings
+ if stack:
+ delim = None
+ if s[i : i + 3] in ("'''", '"""'):
+ delim = s[i : i + 3]
+ elif s[i] in ("'", '"'):
+ delim = s[i]
+ if delim:
+ i += len(delim)
+ while i < len(s) and s[i : i + len(delim)] != delim:
+ i += 1
+ i += len(delim)
+ continue
+ i += 1
+
+
+def fstring_contains_expr(s: str) -> bool:
+ return any(iter_fexpr_spans(s))
+
+
+class StringSplitter(BaseStringSplitter, CustomSplitMapMixin):
"""
StringTransformer that splits "atom" strings (i.e. strings which exist on
lines by themselves).
CustomSplit objects and add them to the custom split map.
"""
- MIN_SUBSTR_SIZE = 6
- # Matches an "f-expression" (e.g. {var}) that might be found in an f-string.
- RE_FEXPR = r"""
- (?<!\{) (?:\{\{)* \{ (?!\{)
- (?:
- [^\{\}]
- | \{\{
- | \}\}
- | (?R)
- )+
- \}
- """
+ MIN_SUBSTR_SIZE: Final = 6
def do_splitter_match(self, line: Line) -> TMatchResult:
LL = line.leaves
is_valid_index = is_valid_index_factory(LL)
insert_str_child = insert_str_child_factory(LL[string_idx])
- prefix = get_string_prefix(LL[string_idx].value)
+ prefix = get_string_prefix(LL[string_idx].value).lower()
# We MAY choose to drop the 'f' prefix from substrings that don't
# contain any f-expressions, but ONLY if the original f-string
# contains at least one f-expression. Otherwise, we will alter the AST
# of the program.
- drop_pointless_f_prefix = ("f" in prefix) and re.search(
- self.RE_FEXPR, LL[string_idx].value, re.VERBOSE
+ drop_pointless_f_prefix = ("f" in prefix) and fstring_contains_expr(
+ LL[string_idx].value
)
first_string_line = True
last_line.comments = line.comments.copy()
yield Ok(last_line)
+ def _iter_nameescape_slices(self, string: str) -> Iterator[Tuple[Index, Index]]:
+ """
+ Yields:
+ All ranges of @string which, if @string were to be split there,
+ would result in the splitting of an \\N{...} expression (which is NOT
+ allowed).
+ """
+ # True - the previous backslash was unescaped
+ # False - the previous backslash was escaped *or* there was no backslash
+ previous_was_unescaped_backslash = False
+ it = iter(enumerate(string))
+ for idx, c in it:
+ if c == "\\":
+ previous_was_unescaped_backslash = not previous_was_unescaped_backslash
+ continue
+ if not previous_was_unescaped_backslash or c != "N":
+ previous_was_unescaped_backslash = False
+ continue
+ previous_was_unescaped_backslash = False
+
+ begin = idx - 1 # the position of backslash before \N{...}
+ for idx, c in it:
+ if c == "}":
+ end = idx
+ break
+ else:
+ # malformed nameescape expression?
+ # should have been detected by AST parsing earlier...
+ raise RuntimeError(f"{self.__class__.__name__} LOGIC ERROR!")
+ yield begin, end
+
+ def _iter_fexpr_slices(self, string: str) -> Iterator[Tuple[Index, Index]]:
+ """
+ Yields:
+ All ranges of @string which, if @string were to be split there,
+ would result in the splitting of an f-expression (which is NOT
+ allowed).
+ """
+ if "f" not in get_string_prefix(string).lower():
+ return
+ yield from iter_fexpr_spans(string)
+
+ def _get_illegal_split_indices(self, string: str) -> Set[Index]:
+ illegal_indices: Set[Index] = set()
+ iterators = [
+ self._iter_fexpr_slices(string),
+ self._iter_nameescape_slices(string),
+ ]
+ for it in iterators:
+ for begin, end in it:
+ illegal_indices.update(range(begin, end + 1))
+ return illegal_indices
+
def _get_break_idx(self, string: str, max_break_idx: int) -> Optional[int]:
"""
This method contains the algorithm that StringSplitter uses to
assert is_valid_index(max_break_idx)
assert_is_leaf_string(string)
- _fexpr_slices: Optional[List[Tuple[Index, Index]]] = None
+ _illegal_split_indices = self._get_illegal_split_indices(string)
- def fexpr_slices() -> Iterator[Tuple[Index, Index]]:
- """
- Yields:
- All ranges of @string which, if @string were to be split there,
- would result in the splitting of an f-expression (which is NOT
- allowed).
- """
- nonlocal _fexpr_slices
-
- if _fexpr_slices is None:
- _fexpr_slices = []
- for match in re.finditer(self.RE_FEXPR, string, re.VERBOSE):
- _fexpr_slices.append(match.span())
-
- yield from _fexpr_slices
-
- is_fstring = "f" in get_string_prefix(string)
-
- def breaks_fstring_expression(i: Index) -> bool:
+ def breaks_unsplittable_expression(i: Index) -> bool:
"""
Returns:
True iff returning @i would result in the splitting of an
- f-expression (which is NOT allowed).
+ unsplittable expression (which is NOT allowed).
"""
- if not is_fstring:
- return False
-
- for (start, end) in fexpr_slices():
- if start <= i < end:
- return True
-
- return False
+ return i in _illegal_split_indices
def passes_all_checks(i: Index) -> bool:
"""
is_space
and is_not_escaped
and is_big_enough
- and not breaks_fstring_expression(i)
+ and not breaks_unsplittable_expression(i)
)
# First, we check all indices BELOW @max_break_idx.
"""
assert_is_leaf_string(string)
- if "f" in prefix and not re.search(self.RE_FEXPR, string, re.VERBOSE):
+ if "f" in prefix and not fstring_contains_expr(string):
new_prefix = prefix.replace("f", "")
temp = string[len(prefix) :]
return string_op_leaves
-class StringParenWrapper(CustomSplitMapMixin, BaseStringSplitter):
+class StringParenWrapper(BaseStringSplitter, CustomSplitMapMixin):
"""
StringTransformer that splits non-"atom" strings (i.e. strings that do not
exist on lines by themselves).
if parent_type(LL[0]) == syms.assert_stmt and LL[0].value == "assert":
is_valid_index = is_valid_index_factory(LL)
- for (i, leaf) in enumerate(LL):
+ for i, leaf in enumerate(LL):
# We MUST find a comma...
if leaf.type == token.COMMA:
idx = i + 2 if is_empty_par(LL[i + 1]) else i + 1
):
is_valid_index = is_valid_index_factory(LL)
- for (i, leaf) in enumerate(LL):
+ for i, leaf in enumerate(LL):
# We MUST find either an '=' or '+=' symbol...
if leaf.type in [token.EQUAL, token.PLUSEQUAL]:
idx = i + 2 if is_empty_par(LL[i + 1]) else i + 1
if syms.dictsetmaker in [parent_type(LL[0]), parent_type(LL[0].parent)]:
is_valid_index = is_valid_index_factory(LL)
- for (i, leaf) in enumerate(LL):
+ for i, leaf in enumerate(LL):
# We MUST find a colon...
if leaf.type == token.COLON:
idx = i + 2 if is_empty_par(LL[i + 1]) else i + 1
```
"""
- DEFAULT_TOKEN = -1
+ DEFAULT_TOKEN: Final = 20210605
# String Parser States
- START = 1
- DOT = 2
- NAME = 3
- PERCENT = 4
- SINGLE_FMT_ARG = 5
- LPAR = 6
- RPAR = 7
- DONE = 8
+ START: Final = 1
+ DOT: Final = 2
+ NAME: Final = 3
+ PERCENT: Final = 4
+ SINGLE_FMT_ARG: Final = 5
+ LPAR: Final = 6
+ RPAR: Final = 7
+ DONE: Final = 8
# Lookup Table for Next State
- _goto: Dict[Tuple[ParserState, NodeType], ParserState] = {
+ _goto: Final[Dict[Tuple[ParserState, NodeType], ParserState]] = {
# A string trailer may start with '.' OR '%'.
(START, token.DOT): DOT,
(START, token.PERCENT): PERCENT,
projects / etc / vim.git / blobdiff