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?? ..
?? __init__.py(8.94 KB)
?? __pycache__
?? actions.py(6.28 KB)
?? common.py(12.63 KB)
?? core.py(208.31 KB)
?? diagram
?? exceptions.py(8.81 KB)
?? helpers.py(38.21 KB)
?? py.typed(0 B)
?? results.py(24.75 KB)
?? testing.py(13.09 KB)
?? unicode.py(10.53 KB)
?? util.py(6.65 KB)

Editing: util.py

# util.py
import warnings
import types
import collections
import itertools
from functools import lru_cache
from typing import List, Union, Iterable

_bslash = chr(92)

class __config_flags:
    """Internal class for defining compatibility and debugging flags"""

_all_names: List[str] = []
    _fixed_names: List[str] = []
    _type_desc = "configuration"

@classmethod
    def _set(cls, dname, value):
        if dname in cls._fixed_names:
            warnings.warn(
                "{}.{} {} is {} and cannot be overridden".format(
                    cls.__name__,
                    dname,
                    cls._type_desc,
                    str(getattr(cls, dname)).upper(),
                )
            )
            return
        if dname in cls._all_names:
            setattr(cls, dname, value)
        else:
            raise ValueError("no such {} {!r}".format(cls._type_desc, dname))

enable = classmethod(lambda cls, name: cls._set(name, True))
    disable = classmethod(lambda cls, name: cls._set(name, False))

@lru_cache(maxsize=128)
def col(loc: int, strg: str) -> int:
    """
    Returns current column within a string, counting newlines as line separators.
    The first column is number 1.

Note: the default parsing behavior is to expand tabs in the input string
    before starting the parsing process.  See
    :class:`ParserElement.parseString` for more
    information on parsing strings containing ``<TAB>`` s, and suggested
    methods to maintain a consistent view of the parsed string, the parse
    location, and line and column positions within the parsed string.
    """
    s = strg
    return 1 if 0 < loc < len(s) and s[loc - 1] == "\n" else loc - s.rfind("\n", 0, loc)

@lru_cache(maxsize=128)
def lineno(loc: int, strg: str) -> int:
    """Returns current line number within a string, counting newlines as line separators.
    The first line is number 1.

Note - the default parsing behavior is to expand tabs in the input string
    before starting the parsing process.  See :class:`ParserElement.parseString`
    for more information on parsing strings containing ``<TAB>`` s, and
    suggested methods to maintain a consistent view of the parsed string, the
    parse location, and line and column positions within the parsed string.
    """
    return strg.count("\n", 0, loc) + 1

@lru_cache(maxsize=128)
def line(loc: int, strg: str) -> str:
    """
    Returns the line of text containing loc within a string, counting newlines as line separators.
    """
    last_cr = strg.rfind("\n", 0, loc)
    next_cr = strg.find("\n", loc)
    return strg[last_cr + 1 : next_cr] if next_cr >= 0 else strg[last_cr + 1 :]

class _UnboundedCache:
    def __init__(self):
        cache = {}
        cache_get = cache.get
        self.not_in_cache = not_in_cache = object()

def get(_, key):
            return cache_get(key, not_in_cache)

def set_(_, key, value):
            cache[key] = value

def clear(_):
            cache.clear()

self.size = None
        self.get = types.MethodType(get, self)
        self.set = types.MethodType(set_, self)
        self.clear = types.MethodType(clear, self)

class _FifoCache:
    def __init__(self, size):
        self.not_in_cache = not_in_cache = object()
        cache = collections.OrderedDict()
        cache_get = cache.get

def get(_, key):
            return cache_get(key, not_in_cache)

def set_(_, key, value):
            cache[key] = value
            while len(cache) > size:
                cache.popitem(last=False)

def clear(_):
            cache.clear()

self.size = size
        self.get = types.MethodType(get, self)
        self.set = types.MethodType(set_, self)
        self.clear = types.MethodType(clear, self)

class LRUMemo:
    """
    A memoizing mapping that retains `capacity` deleted items

The memo tracks retained items by their access order; once `capacity` items
    are retained, the least recently used item is discarded.
    """

def __init__(self, capacity):
        self._capacity = capacity
        self._active = {}
        self._memory = collections.OrderedDict()

def __getitem__(self, key):
        try:
            return self._active[key]
        except KeyError:
            self._memory.move_to_end(key)
            return self._memory[key]

def __setitem__(self, key, value):
        self._memory.pop(key, None)
        self._active[key] = value

def __delitem__(self, key):
        try:
            value = self._active.pop(key)
        except KeyError:
            pass
        else:
            while len(self._memory) >= self._capacity:
                self._memory.popitem(last=False)
            self._memory[key] = value

def clear(self):
        self._active.clear()
        self._memory.clear()

class UnboundedMemo(dict):
    """
    A memoizing mapping that retains all deleted items
    """

def __delitem__(self, key):
        pass

def _escape_regex_range_chars(s: str) -> str:
    # escape these chars: ^-[]
    for c in r"\^-[]":
        s = s.replace(c, _bslash + c)
    s = s.replace("\n", r"\n")
    s = s.replace("\t", r"\t")
    return str(s)

def _collapse_string_to_ranges(
    s: Union[str, Iterable[str]], re_escape: bool = True
) -> str:
    def is_consecutive(c):
        c_int = ord(c)
        is_consecutive.prev, prev = c_int, is_consecutive.prev
        if c_int - prev > 1:
            is_consecutive.value = next(is_consecutive.counter)
        return is_consecutive.value

is_consecutive.prev = 0
    is_consecutive.counter = itertools.count()
    is_consecutive.value = -1

def escape_re_range_char(c):
        return "\\" + c if c in r"\^-][" else c

def no_escape_re_range_char(c):
        return c

if not re_escape:
        escape_re_range_char = no_escape_re_range_char

ret = []
    s = "".join(sorted(set(s)))
    if len(s) > 3:
        for _, chars in itertools.groupby(s, key=is_consecutive):
            first = last = next(chars)
            last = collections.deque(
                itertools.chain(iter([last]), chars), maxlen=1
            ).pop()
            if first == last:
                ret.append(escape_re_range_char(first))
            else:
                sep = "" if ord(last) == ord(first) + 1 else "-"
                ret.append(
                    "{}{}{}".format(
                        escape_re_range_char(first), sep, escape_re_range_char(last)
                    )
                )
    else:
        ret = [escape_re_range_char(c) for c in s]

return "".join(ret)

def _flatten(ll: list) -> list:
    ret = []
    for i in ll:
        if isinstance(i, list):
            ret.extend(_flatten(i))
        else:
            ret.append(i)
    return ret

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