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236 lines
6.6 KiB
Python
236 lines
6.6 KiB
Python
2 years ago
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# util.py
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import warnings
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import types
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import collections
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import itertools
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from functools import lru_cache
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from typing import List, Union, Iterable
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_bslash = chr(92)
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class __config_flags:
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"""Internal class for defining compatibility and debugging flags"""
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_all_names: List[str] = []
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_fixed_names: List[str] = []
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_type_desc = "configuration"
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@classmethod
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def _set(cls, dname, value):
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if dname in cls._fixed_names:
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warnings.warn(
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"{}.{} {} is {} and cannot be overridden".format(
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cls.__name__,
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dname,
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cls._type_desc,
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str(getattr(cls, dname)).upper(),
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)
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)
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return
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if dname in cls._all_names:
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setattr(cls, dname, value)
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else:
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raise ValueError("no such {} {!r}".format(cls._type_desc, dname))
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enable = classmethod(lambda cls, name: cls._set(name, True))
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disable = classmethod(lambda cls, name: cls._set(name, False))
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@lru_cache(maxsize=128)
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def col(loc: int, strg: str) -> int:
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"""
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Returns current column within a string, counting newlines as line separators.
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The first column is number 1.
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Note: the default parsing behavior is to expand tabs in the input string
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before starting the parsing process. See
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:class:`ParserElement.parseString` for more
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information on parsing strings containing ``<TAB>`` s, and suggested
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methods to maintain a consistent view of the parsed string, the parse
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location, and line and column positions within the parsed string.
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"""
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s = strg
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return 1 if 0 < loc < len(s) and s[loc - 1] == "\n" else loc - s.rfind("\n", 0, loc)
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@lru_cache(maxsize=128)
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def lineno(loc: int, strg: str) -> int:
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"""Returns current line number within a string, counting newlines as line separators.
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The first line is number 1.
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Note - the default parsing behavior is to expand tabs in the input string
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before starting the parsing process. See :class:`ParserElement.parseString`
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for more information on parsing strings containing ``<TAB>`` s, and
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suggested methods to maintain a consistent view of the parsed string, the
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parse location, and line and column positions within the parsed string.
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"""
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return strg.count("\n", 0, loc) + 1
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@lru_cache(maxsize=128)
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def line(loc: int, strg: str) -> str:
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"""
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Returns the line of text containing loc within a string, counting newlines as line separators.
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"""
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last_cr = strg.rfind("\n", 0, loc)
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next_cr = strg.find("\n", loc)
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return strg[last_cr + 1 : next_cr] if next_cr >= 0 else strg[last_cr + 1 :]
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class _UnboundedCache:
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def __init__(self):
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cache = {}
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cache_get = cache.get
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self.not_in_cache = not_in_cache = object()
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def get(_, key):
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return cache_get(key, not_in_cache)
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def set_(_, key, value):
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cache[key] = value
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def clear(_):
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cache.clear()
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self.size = None
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self.get = types.MethodType(get, self)
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self.set = types.MethodType(set_, self)
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self.clear = types.MethodType(clear, self)
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class _FifoCache:
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def __init__(self, size):
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self.not_in_cache = not_in_cache = object()
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cache = collections.OrderedDict()
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cache_get = cache.get
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def get(_, key):
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return cache_get(key, not_in_cache)
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def set_(_, key, value):
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cache[key] = value
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while len(cache) > size:
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cache.popitem(last=False)
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def clear(_):
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cache.clear()
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self.size = size
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self.get = types.MethodType(get, self)
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self.set = types.MethodType(set_, self)
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self.clear = types.MethodType(clear, self)
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class LRUMemo:
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"""
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A memoizing mapping that retains `capacity` deleted items
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The memo tracks retained items by their access order; once `capacity` items
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are retained, the least recently used item is discarded.
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"""
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def __init__(self, capacity):
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self._capacity = capacity
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self._active = {}
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self._memory = collections.OrderedDict()
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def __getitem__(self, key):
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try:
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return self._active[key]
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except KeyError:
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self._memory.move_to_end(key)
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return self._memory[key]
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def __setitem__(self, key, value):
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self._memory.pop(key, None)
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self._active[key] = value
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def __delitem__(self, key):
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try:
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value = self._active.pop(key)
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except KeyError:
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pass
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else:
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while len(self._memory) >= self._capacity:
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self._memory.popitem(last=False)
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self._memory[key] = value
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def clear(self):
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self._active.clear()
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self._memory.clear()
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class UnboundedMemo(dict):
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"""
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A memoizing mapping that retains all deleted items
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"""
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def __delitem__(self, key):
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pass
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def _escape_regex_range_chars(s: str) -> str:
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# escape these chars: ^-[]
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for c in r"\^-[]":
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s = s.replace(c, _bslash + c)
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s = s.replace("\n", r"\n")
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s = s.replace("\t", r"\t")
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return str(s)
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def _collapse_string_to_ranges(
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s: Union[str, Iterable[str]], re_escape: bool = True
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) -> str:
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def is_consecutive(c):
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c_int = ord(c)
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is_consecutive.prev, prev = c_int, is_consecutive.prev
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if c_int - prev > 1:
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is_consecutive.value = next(is_consecutive.counter)
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return is_consecutive.value
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is_consecutive.prev = 0
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is_consecutive.counter = itertools.count()
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is_consecutive.value = -1
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def escape_re_range_char(c):
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return "\\" + c if c in r"\^-][" else c
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def no_escape_re_range_char(c):
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return c
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if not re_escape:
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escape_re_range_char = no_escape_re_range_char
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ret = []
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s = "".join(sorted(set(s)))
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if len(s) > 3:
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for _, chars in itertools.groupby(s, key=is_consecutive):
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first = last = next(chars)
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last = collections.deque(
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itertools.chain(iter([last]), chars), maxlen=1
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).pop()
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if first == last:
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ret.append(escape_re_range_char(first))
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else:
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sep = "" if ord(last) == ord(first) + 1 else "-"
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ret.append(
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"{}{}{}".format(
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escape_re_range_char(first), sep, escape_re_range_char(last)
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)
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)
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else:
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ret = [escape_re_range_char(c) for c in s]
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return "".join(ret)
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def _flatten(ll: list) -> list:
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ret = []
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for i in ll:
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if isinstance(i, list):
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ret.extend(_flatten(i))
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else:
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ret.append(i)
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return ret
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