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https://github.com/janeczku/calibre-web
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bbf6d9b026
Bugfix for feeds
- removed categories related and up
- load new books now working
- category random now working
login page is free of non accessible elements
boolean custom column is vivible in UI
books with only with certain languages can be shown
book shelfs can be deleted from UI
Anonymous user view is more resticted
Added browse of series in sidebar
Dependencys in vendor folder are updated to newer versions (licencs files are now present)
Bugfix editing Authors names
Made upload on windows working
220 lines
8.1 KiB
Python
220 lines
8.1 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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__all__ = ['singledispatch']
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from functools import update_wrapper
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from weakref import WeakKeyDictionary
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from singledispatch_helpers import MappingProxyType, get_cache_token
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################################################################################
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### singledispatch() - single-dispatch generic function decorator
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################################################################################
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def _c3_merge(sequences):
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"""Merges MROs in *sequences* to a single MRO using the C3 algorithm.
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Adapted from http://www.python.org/download/releases/2.3/mro/.
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"""
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result = []
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while True:
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sequences = [s for s in sequences if s] # purge empty sequences
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if not sequences:
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return result
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for s1 in sequences: # find merge candidates among seq heads
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candidate = s1[0]
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for s2 in sequences:
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if candidate in s2[1:]:
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candidate = None
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break # reject the current head, it appears later
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else:
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break
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if not candidate:
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raise RuntimeError("Inconsistent hierarchy")
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result.append(candidate)
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# remove the chosen candidate
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for seq in sequences:
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if seq[0] == candidate:
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del seq[0]
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def _c3_mro(cls, abcs=None):
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"""Computes the method resolution order using extended C3 linearization.
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If no *abcs* are given, the algorithm works exactly like the built-in C3
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linearization used for method resolution.
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If given, *abcs* is a list of abstract base classes that should be inserted
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into the resulting MRO. Unrelated ABCs are ignored and don't end up in the
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result. The algorithm inserts ABCs where their functionality is introduced,
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i.e. issubclass(cls, abc) returns True for the class itself but returns
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False for all its direct base classes. Implicit ABCs for a given class
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(either registered or inferred from the presence of a special method like
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__len__) are inserted directly after the last ABC explicitly listed in the
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MRO of said class. If two implicit ABCs end up next to each other in the
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resulting MRO, their ordering depends on the order of types in *abcs*.
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"""
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for i, base in enumerate(reversed(cls.__bases__)):
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if hasattr(base, '__abstractmethods__'):
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boundary = len(cls.__bases__) - i
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break # Bases up to the last explicit ABC are considered first.
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else:
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boundary = 0
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abcs = list(abcs) if abcs else []
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explicit_bases = list(cls.__bases__[:boundary])
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abstract_bases = []
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other_bases = list(cls.__bases__[boundary:])
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for base in abcs:
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if issubclass(cls, base) and not any(
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issubclass(b, base) for b in cls.__bases__
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):
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# If *cls* is the class that introduces behaviour described by
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# an ABC *base*, insert said ABC to its MRO.
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abstract_bases.append(base)
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for base in abstract_bases:
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abcs.remove(base)
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explicit_c3_mros = [_c3_mro(base, abcs=abcs) for base in explicit_bases]
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abstract_c3_mros = [_c3_mro(base, abcs=abcs) for base in abstract_bases]
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other_c3_mros = [_c3_mro(base, abcs=abcs) for base in other_bases]
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return _c3_merge(
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[[cls]] +
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explicit_c3_mros + abstract_c3_mros + other_c3_mros +
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[explicit_bases] + [abstract_bases] + [other_bases]
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)
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def _compose_mro(cls, types):
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"""Calculates the method resolution order for a given class *cls*.
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Includes relevant abstract base classes (with their respective bases) from
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the *types* iterable. Uses a modified C3 linearization algorithm.
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"""
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bases = set(cls.__mro__)
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# Remove entries which are already present in the __mro__ or unrelated.
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def is_related(typ):
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return (typ not in bases and hasattr(typ, '__mro__')
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and issubclass(cls, typ))
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types = [n for n in types if is_related(n)]
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# Remove entries which are strict bases of other entries (they will end up
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# in the MRO anyway.
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def is_strict_base(typ):
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for other in types:
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if typ != other and typ in other.__mro__:
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return True
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return False
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types = [n for n in types if not is_strict_base(n)]
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# Subclasses of the ABCs in *types* which are also implemented by
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# *cls* can be used to stabilize ABC ordering.
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type_set = set(types)
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mro = []
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for typ in types:
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found = []
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for sub in typ.__subclasses__():
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if sub not in bases and issubclass(cls, sub):
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found.append([s for s in sub.__mro__ if s in type_set])
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if not found:
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mro.append(typ)
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continue
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# Favor subclasses with the biggest number of useful bases
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found.sort(key=len, reverse=True)
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for sub in found:
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for subcls in sub:
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if subcls not in mro:
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mro.append(subcls)
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return _c3_mro(cls, abcs=mro)
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def _find_impl(cls, registry):
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"""Returns the best matching implementation from *registry* for type *cls*.
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Where there is no registered implementation for a specific type, its method
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resolution order is used to find a more generic implementation.
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Note: if *registry* does not contain an implementation for the base
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*object* type, this function may return None.
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"""
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mro = _compose_mro(cls, registry.keys())
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match = None
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for t in mro:
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if match is not None:
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# If *match* is an implicit ABC but there is another unrelated,
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# equally matching implicit ABC, refuse the temptation to guess.
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if (t in registry and t not in cls.__mro__
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and match not in cls.__mro__
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and not issubclass(match, t)):
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raise RuntimeError("Ambiguous dispatch: {0} or {1}".format(
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match, t))
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break
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if t in registry:
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match = t
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return registry.get(match)
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def singledispatch(func):
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"""Single-dispatch generic function decorator.
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Transforms a function into a generic function, which can have different
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behaviours depending upon the type of its first argument. The decorated
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function acts as the default implementation, and additional
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implementations can be registered using the register() attribute of the
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generic function.
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"""
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registry = {}
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dispatch_cache = WeakKeyDictionary()
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def ns(): pass
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ns.cache_token = None
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def dispatch(cls):
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"""generic_func.dispatch(cls) -> <function implementation>
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Runs the dispatch algorithm to return the best available implementation
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for the given *cls* registered on *generic_func*.
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"""
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if ns.cache_token is not None:
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current_token = get_cache_token()
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if ns.cache_token != current_token:
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dispatch_cache.clear()
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ns.cache_token = current_token
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try:
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impl = dispatch_cache[cls]
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except KeyError:
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try:
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impl = registry[cls]
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except KeyError:
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impl = _find_impl(cls, registry)
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dispatch_cache[cls] = impl
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return impl
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def register(cls, func=None):
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"""generic_func.register(cls, func) -> func
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Registers a new implementation for the given *cls* on a *generic_func*.
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"""
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if func is None:
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return lambda f: register(cls, f)
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registry[cls] = func
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if ns.cache_token is None and hasattr(cls, '__abstractmethods__'):
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ns.cache_token = get_cache_token()
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dispatch_cache.clear()
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return func
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def wrapper(*args, **kw):
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return dispatch(args[0].__class__)(*args, **kw)
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registry[object] = func
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wrapper.register = register
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wrapper.dispatch = dispatch
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wrapper.registry = MappingProxyType(registry)
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wrapper._clear_cache = dispatch_cache.clear
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update_wrapper(wrapper, func)
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return wrapper
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