Source code for whoosh.util

# Copyright 2007 Matt Chaput. All rights reserved.
#
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# modification, are permitted provided that the following conditions are met:
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# THIS SOFTWARE IS PROVIDED BY MATT CHAPUT ``AS IS'' AND ANY EXPRESS OR
# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
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# EVENT SHALL MATT CHAPUT OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
# OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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import random
import time
from bisect import insort
from collections.abc import Callable, Sequence
from functools import wraps
from threading import Lock
from typing import Any, Concatenate, ParamSpec, Protocol, SupportsIndex, TypeVar

# These must be valid separate characters in CASE-INSENSTIVE filenames
IDCHARS = "0123456789abcdefghijklmnopqrstuvwxyz"


now = time.perf_counter


def random_name(size: SupportsIndex = 28) -> str:
    return "".join(random.choice(IDCHARS) for _ in range(size))


def random_bytes(size: SupportsIndex = 28) -> bytes:
    return bytes(random.randint(0, 255) for _ in range(size))


T = TypeVar("T")
R = TypeVar("R")
P = ParamSpec("P")


# TODO: Resolve Any types after type annotating whoosh.query.compound
[docs] def make_binary_tree(fn: Callable[[T, T], T], args: Sequence[T], **kwargs: Any) -> T: """Takes a function/class that takes two positional arguments and a list of arguments and returns a binary tree of results/instances. >>> make_binary_tree(UnionMatcher, [matcher1, matcher2, matcher3]) UnionMatcher(matcher1, UnionMatcher(matcher2, matcher3)) Any keyword arguments given to this function are passed to the class initializer. """ count = len(args) if not count: raise ValueError("Called make_binary_tree with empty list") elif count == 1: return args[0] half = count // 2 return fn( make_binary_tree(fn, args[:half], **kwargs), make_binary_tree(fn, args[half:], **kwargs), **kwargs, )
# TODO: Resolve Any types after type annotating whoosh.query.compound
[docs] def make_weighted_tree( fn: Callable[[Any, Any], Any], ls: list[tuple[Any, Any]], **kwargs: Any ): """Takes a function/class that takes two positional arguments and a list of (weight, argument) tuples and returns a huffman-like weighted tree of results/instances. """ if not ls: raise ValueError("Called make_weighted_tree with empty list") ls.sort() while len(ls) > 1: a = ls.pop(0) b = ls.pop(0) insort(ls, (a[0] + b[0], fn(a[1], b[1]))) return ls[0][1]
# Fibonacci function _fib_cache: dict[int, int] = {}
[docs] def fib(n: int) -> int: """Returns the nth value in the Fibonacci sequence.""" if n <= 2: return n if n in _fib_cache: return _fib_cache[n] result = fib(n - 1) + fib(n - 2) _fib_cache[n] = result return result
# Decorators class _SupportsSyncLock(Protocol): _sync_lock: Lock class _SupportsClosed(Protocol): closed: bool
[docs] def synchronized( func: Callable[Concatenate[_SupportsSyncLock, P], R], ) -> Callable[Concatenate[_SupportsSyncLock, P], R]: """Decorator for storage-access methods, which synchronizes on a threading lock. The parent object must have 'is_closed' and '_sync_lock' attributes. """ @wraps(func) def synchronized_wrapper( self: _SupportsSyncLock, *args: P.args, **kwargs: P.kwargs ) -> R: with self._sync_lock: return func(self, *args, **kwargs) return synchronized_wrapper
[docs] def unclosed( method: Callable[Concatenate[_SupportsClosed, P], R], ) -> Callable[Concatenate[_SupportsClosed, P], R]: """ Decorator to check if the object is closed. """ @wraps(method) def unclosed_wrapper(self: _SupportsClosed, *args: P.args, **kwargs: P.kwargs) -> R: if self.closed: raise ValueError("Operation on a closed object") return method(self, *args, **kwargs) return unclosed_wrapper