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# smartset.py - data structure for revision set
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#
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# Copyright 2010 Matt Mackall <mpm@selenic.com>
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#
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# This software may be used and distributed according to the terms of the
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# GNU General Public License version 2 or any later version.
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from __future__ import absolute_import
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from . import (
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util,
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)
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def _formatsetrepr(r):
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"""Format an optional printable representation of a set
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======== =================================
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type(r) example
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======== =================================
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tuple ('<not %r>', other)
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str '<branch closed>'
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callable lambda: '<branch %r>' % sorted(b)
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object other
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======== =================================
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"""
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if r is None:
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return ''
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elif isinstance(r, tuple):
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return r[0] % r[1:]
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elif isinstance(r, str):
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return r
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elif callable(r):
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return r()
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else:
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return repr(r)
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class abstractsmartset(object):
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def __nonzero__(self):
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"""True if the smartset is not empty"""
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raise NotImplementedError()
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def __contains__(self, rev):
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"""provide fast membership testing"""
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raise NotImplementedError()
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def __iter__(self):
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"""iterate the set in the order it is supposed to be iterated"""
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raise NotImplementedError()
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# Attributes containing a function to perform a fast iteration in a given
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# direction. A smartset can have none, one, or both defined.
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#
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# Default value is None instead of a function returning None to avoid
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# initializing an iterator just for testing if a fast method exists.
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fastasc = None
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fastdesc = None
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def isascending(self):
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"""True if the set will iterate in ascending order"""
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raise NotImplementedError()
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def isdescending(self):
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"""True if the set will iterate in descending order"""
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raise NotImplementedError()
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def istopo(self):
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"""True if the set will iterate in topographical order"""
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raise NotImplementedError()
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def min(self):
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"""return the minimum element in the set"""
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if self.fastasc is None:
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v = min(self)
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else:
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for v in self.fastasc():
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break
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else:
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raise ValueError('arg is an empty sequence')
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self.min = lambda: v
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return v
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def max(self):
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"""return the maximum element in the set"""
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if self.fastdesc is None:
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return max(self)
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else:
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for v in self.fastdesc():
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break
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else:
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raise ValueError('arg is an empty sequence')
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self.max = lambda: v
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return v
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def first(self):
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"""return the first element in the set (user iteration perspective)
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Return None if the set is empty"""
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raise NotImplementedError()
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def last(self):
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"""return the last element in the set (user iteration perspective)
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Return None if the set is empty"""
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raise NotImplementedError()
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def __len__(self):
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"""return the length of the smartsets
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This can be expensive on smartset that could be lazy otherwise."""
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raise NotImplementedError()
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def reverse(self):
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"""reverse the expected iteration order"""
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raise NotImplementedError()
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def sort(self, reverse=True):
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"""get the set to iterate in an ascending or descending order"""
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raise NotImplementedError()
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def __and__(self, other):
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"""Returns a new object with the intersection of the two collections.
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This is part of the mandatory API for smartset."""
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if isinstance(other, fullreposet):
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return self
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return self.filter(other.__contains__, condrepr=other, cache=False)
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def __add__(self, other):
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"""Returns a new object with the union of the two collections.
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This is part of the mandatory API for smartset."""
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return addset(self, other)
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def __sub__(self, other):
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"""Returns a new object with the substraction of the two collections.
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This is part of the mandatory API for smartset."""
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c = other.__contains__
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return self.filter(lambda r: not c(r), condrepr=('<not %r>', other),
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cache=False)
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def filter(self, condition, condrepr=None, cache=True):
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"""Returns this smartset filtered by condition as a new smartset.
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`condition` is a callable which takes a revision number and returns a
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boolean. Optional `condrepr` provides a printable representation of
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the given `condition`.
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This is part of the mandatory API for smartset."""
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# builtin cannot be cached. but do not needs to
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if cache and util.safehasattr(condition, 'func_code'):
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condition = util.cachefunc(condition)
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return filteredset(self, condition, condrepr)
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class baseset(abstractsmartset):
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"""Basic data structure that represents a revset and contains the basic
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operation that it should be able to perform.
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Every method in this class should be implemented by any smartset class.
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This class could be constructed by an (unordered) set, or an (ordered)
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list-like object. If a set is provided, it'll be sorted lazily.
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>>> x = [4, 0, 7, 6]
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>>> y = [5, 6, 7, 3]
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Construct by a set:
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>>> xs = baseset(set(x))
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>>> ys = baseset(set(y))
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>>> [list(i) for i in [xs + ys, xs & ys, xs - ys]]
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[[0, 4, 6, 7, 3, 5], [6, 7], [0, 4]]
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>>> [type(i).__name__ for i in [xs + ys, xs & ys, xs - ys]]
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['addset', 'baseset', 'baseset']
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Construct by a list-like:
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>>> xs = baseset(x)
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>>> ys = baseset(i for i in y)
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>>> [list(i) for i in [xs + ys, xs & ys, xs - ys]]
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[[4, 0, 7, 6, 5, 3], [7, 6], [4, 0]]
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>>> [type(i).__name__ for i in [xs + ys, xs & ys, xs - ys]]
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['addset', 'filteredset', 'filteredset']
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Populate "_set" fields in the lists so set optimization may be used:
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>>> [1 in xs, 3 in ys]
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[False, True]
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Without sort(), results won't be changed:
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>>> [list(i) for i in [xs + ys, xs & ys, xs - ys]]
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[[4, 0, 7, 6, 5, 3], [7, 6], [4, 0]]
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>>> [type(i).__name__ for i in [xs + ys, xs & ys, xs - ys]]
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['addset', 'filteredset', 'filteredset']
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With sort(), set optimization could be used:
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>>> xs.sort(reverse=True)
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>>> [list(i) for i in [xs + ys, xs & ys, xs - ys]]
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[[7, 6, 4, 0, 5, 3], [7, 6], [4, 0]]
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>>> [type(i).__name__ for i in [xs + ys, xs & ys, xs - ys]]
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['addset', 'baseset', 'baseset']
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>>> ys.sort()
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>>> [list(i) for i in [xs + ys, xs & ys, xs - ys]]
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[[7, 6, 4, 0, 3, 5], [7, 6], [4, 0]]
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>>> [type(i).__name__ for i in [xs + ys, xs & ys, xs - ys]]
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['addset', 'baseset', 'baseset']
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"""
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def __init__(self, data=(), datarepr=None, istopo=False):
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"""
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datarepr: a tuple of (format, obj, ...), a function or an object that
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provides a printable representation of the given data.
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"""
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self._ascending = None
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self._istopo = istopo
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if not isinstance(data, list):
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if isinstance(data, set):
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self._set = data
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# set has no order we pick one for stability purpose
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self._ascending = True
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# converting set to list has a cost, do it lazily
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data = None
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else:
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data = list(data)
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if data is not None:
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self._list = data
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self._datarepr = datarepr
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@util.propertycache
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def _set(self):
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return set(self._list)
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@util.propertycache
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def _asclist(self):
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asclist = self._list[:]
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asclist.sort()
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return asclist
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@util.propertycache
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def _list(self):
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# _list is only lazily constructed if we have _set
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assert '_set' in self.__dict__
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return list(self._set)
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def __iter__(self):
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if self._ascending is None:
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return iter(self._list)
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elif self._ascending:
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return iter(self._asclist)
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else:
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return reversed(self._asclist)
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def fastasc(self):
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return iter(self._asclist)
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def fastdesc(self):
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return reversed(self._asclist)
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@util.propertycache
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def __contains__(self):
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return self._set.__contains__
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def __nonzero__(self):
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return bool(len(self))
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def sort(self, reverse=False):
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self._ascending = not bool(reverse)
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self._istopo = False
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def reverse(self):
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if self._ascending is None:
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self._list.reverse()
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else:
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self._ascending = not self._ascending
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self._istopo = False
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def __len__(self):
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if '_list' in self.__dict__:
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return len(self._list)
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else:
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return len(self._set)
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def isascending(self):
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"""Returns True if the collection is ascending order, False if not.
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This is part of the mandatory API for smartset."""
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if len(self) <= 1:
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return True
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return self._ascending is not None and self._ascending
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def isdescending(self):
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"""Returns True if the collection is descending order, False if not.
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This is part of the mandatory API for smartset."""
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if len(self) <= 1:
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return True
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return self._ascending is not None and not self._ascending
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def istopo(self):
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"""Is the collection is in topographical order or not.
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This is part of the mandatory API for smartset."""
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if len(self) <= 1:
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return True
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return self._istopo
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def first(self):
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if self:
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if self._ascending is None:
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return self._list[0]
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elif self._ascending:
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return self._asclist[0]
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else:
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return self._asclist[-1]
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return None
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def last(self):
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if self:
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if self._ascending is None:
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return self._list[-1]
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elif self._ascending:
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return self._asclist[-1]
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else:
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return self._asclist[0]
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return None
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def _fastsetop(self, other, op):
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# try to use native set operations as fast paths
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if (type(other) is baseset and '_set' in other.__dict__ and '_set' in
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self.__dict__ and self._ascending is not None):
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s = baseset(data=getattr(self._set, op)(other._set))
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s._ascending = self._ascending
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else:
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s = getattr(super(baseset, self), op)(other)
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return s
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def __and__(self, other):
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return self._fastsetop(other, '__and__')
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def __sub__(self, other):
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return self._fastsetop(other, '__sub__')
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def __repr__(self):
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d = {None: '', False: '-', True: '+'}[self._ascending]
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s = _formatsetrepr(self._datarepr)
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if not s:
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l = self._list
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# if _list has been built from a set, it might have a different
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# order from one python implementation to another.
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# We fallback to the sorted version for a stable output.
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if self._ascending is not None:
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l = self._asclist
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s = repr(l)
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return '<%s%s %s>' % (type(self).__name__, d, s)
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class filteredset(abstractsmartset):
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"""Duck type for baseset class which iterates lazily over the revisions in
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the subset and contains a function which tests for membership in the
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revset
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"""
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def __init__(self, subset, condition=lambda x: True, condrepr=None):
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"""
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condition: a function that decide whether a revision in the subset
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belongs to the revset or not.
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condrepr: a tuple of (format, obj, ...), a function or an object that
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provides a printable representation of the given condition.
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"""
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self._subset = subset
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self._condition = condition
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self._condrepr = condrepr
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def __contains__(self, x):
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return x in self._subset and self._condition(x)
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def __iter__(self):
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return self._iterfilter(self._subset)
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def _iterfilter(self, it):
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cond = self._condition
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for x in it:
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if cond(x):
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yield x
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@property
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def fastasc(self):
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it = self._subset.fastasc
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if it is None:
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return None
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return lambda: self._iterfilter(it())
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@property
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def fastdesc(self):
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it = self._subset.fastdesc
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if it is None:
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return None
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return lambda: self._iterfilter(it())
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def __nonzero__(self):
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fast = None
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candidates = [self.fastasc if self.isascending() else None,
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self.fastdesc if self.isdescending() else None,
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self.fastasc,
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self.fastdesc]
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for candidate in candidates:
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if candidate is not None:
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fast = candidate
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break
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if fast is not None:
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it = fast()
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else:
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it = self
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for r in it:
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return True
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return False
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def __len__(self):
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# Basic implementation to be changed in future patches.
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# until this gets improved, we use generator expression
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# here, since list comprehensions are free to call __len__ again
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# causing infinite recursion
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l = baseset(r for r in self)
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return len(l)
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def sort(self, reverse=False):
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self._subset.sort(reverse=reverse)
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def reverse(self):
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self._subset.reverse()
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def isascending(self):
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return self._subset.isascending()
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def isdescending(self):
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return self._subset.isdescending()
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def istopo(self):
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return self._subset.istopo()
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def first(self):
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for x in self:
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return x
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return None
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def last(self):
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it = None
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if self.isascending():
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it = self.fastdesc
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elif self.isdescending():
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it = self.fastasc
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if it is not None:
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for x in it():
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return x
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return None #empty case
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else:
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x = None
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for x in self:
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pass
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return x
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def __repr__(self):
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xs = [repr(self._subset)]
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s = _formatsetrepr(self._condrepr)
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if s:
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xs.append(s)
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return '<%s %s>' % (type(self).__name__, ', '.join(xs))
|
|
|
|
|
|
def _iterordered(ascending, iter1, iter2):
|
|
|
"""produce an ordered iteration from two iterators with the same order
|
|
|
|
|
|
The ascending is used to indicated the iteration direction.
|
|
|
"""
|
|
|
choice = max
|
|
|
if ascending:
|
|
|
choice = min
|
|
|
|
|
|
val1 = None
|
|
|
val2 = None
|
|
|
try:
|
|
|
# Consume both iterators in an ordered way until one is empty
|
|
|
while True:
|
|
|
if val1 is None:
|
|
|
val1 = next(iter1)
|
|
|
if val2 is None:
|
|
|
val2 = next(iter2)
|
|
|
n = choice(val1, val2)
|
|
|
yield n
|
|
|
if val1 == n:
|
|
|
val1 = None
|
|
|
if val2 == n:
|
|
|
val2 = None
|
|
|
except StopIteration:
|
|
|
# Flush any remaining values and consume the other one
|
|
|
it = iter2
|
|
|
if val1 is not None:
|
|
|
yield val1
|
|
|
it = iter1
|
|
|
elif val2 is not None:
|
|
|
# might have been equality and both are empty
|
|
|
yield val2
|
|
|
for val in it:
|
|
|
yield val
|
|
|
|
|
|
class addset(abstractsmartset):
|
|
|
"""Represent the addition of two sets
|
|
|
|
|
|
Wrapper structure for lazily adding two structures without losing much
|
|
|
performance on the __contains__ method
|
|
|
|
|
|
If the ascending attribute is set, that means the two structures are
|
|
|
ordered in either an ascending or descending way. Therefore, we can add
|
|
|
them maintaining the order by iterating over both at the same time
|
|
|
|
|
|
>>> xs = baseset([0, 3, 2])
|
|
|
>>> ys = baseset([5, 2, 4])
|
|
|
|
|
|
>>> rs = addset(xs, ys)
|
|
|
>>> bool(rs), 0 in rs, 1 in rs, 5 in rs, rs.first(), rs.last()
|
|
|
(True, True, False, True, 0, 4)
|
|
|
>>> rs = addset(xs, baseset([]))
|
|
|
>>> bool(rs), 0 in rs, 1 in rs, rs.first(), rs.last()
|
|
|
(True, True, False, 0, 2)
|
|
|
>>> rs = addset(baseset([]), baseset([]))
|
|
|
>>> bool(rs), 0 in rs, rs.first(), rs.last()
|
|
|
(False, False, None, None)
|
|
|
|
|
|
iterate unsorted:
|
|
|
>>> rs = addset(xs, ys)
|
|
|
>>> # (use generator because pypy could call len())
|
|
|
>>> list(x for x in rs) # without _genlist
|
|
|
[0, 3, 2, 5, 4]
|
|
|
>>> assert not rs._genlist
|
|
|
>>> len(rs)
|
|
|
5
|
|
|
>>> [x for x in rs] # with _genlist
|
|
|
[0, 3, 2, 5, 4]
|
|
|
>>> assert rs._genlist
|
|
|
|
|
|
iterate ascending:
|
|
|
>>> rs = addset(xs, ys, ascending=True)
|
|
|
>>> # (use generator because pypy could call len())
|
|
|
>>> list(x for x in rs), list(x for x in rs.fastasc()) # without _asclist
|
|
|
([0, 2, 3, 4, 5], [0, 2, 3, 4, 5])
|
|
|
>>> assert not rs._asclist
|
|
|
>>> len(rs)
|
|
|
5
|
|
|
>>> [x for x in rs], [x for x in rs.fastasc()]
|
|
|
([0, 2, 3, 4, 5], [0, 2, 3, 4, 5])
|
|
|
>>> assert rs._asclist
|
|
|
|
|
|
iterate descending:
|
|
|
>>> rs = addset(xs, ys, ascending=False)
|
|
|
>>> # (use generator because pypy could call len())
|
|
|
>>> list(x for x in rs), list(x for x in rs.fastdesc()) # without _asclist
|
|
|
([5, 4, 3, 2, 0], [5, 4, 3, 2, 0])
|
|
|
>>> assert not rs._asclist
|
|
|
>>> len(rs)
|
|
|
5
|
|
|
>>> [x for x in rs], [x for x in rs.fastdesc()]
|
|
|
([5, 4, 3, 2, 0], [5, 4, 3, 2, 0])
|
|
|
>>> assert rs._asclist
|
|
|
|
|
|
iterate ascending without fastasc:
|
|
|
>>> rs = addset(xs, generatorset(ys), ascending=True)
|
|
|
>>> assert rs.fastasc is None
|
|
|
>>> [x for x in rs]
|
|
|
[0, 2, 3, 4, 5]
|
|
|
|
|
|
iterate descending without fastdesc:
|
|
|
>>> rs = addset(generatorset(xs), ys, ascending=False)
|
|
|
>>> assert rs.fastdesc is None
|
|
|
>>> [x for x in rs]
|
|
|
[5, 4, 3, 2, 0]
|
|
|
"""
|
|
|
def __init__(self, revs1, revs2, ascending=None):
|
|
|
self._r1 = revs1
|
|
|
self._r2 = revs2
|
|
|
self._iter = None
|
|
|
self._ascending = ascending
|
|
|
self._genlist = None
|
|
|
self._asclist = None
|
|
|
|
|
|
def __len__(self):
|
|
|
return len(self._list)
|
|
|
|
|
|
def __nonzero__(self):
|
|
|
return bool(self._r1) or bool(self._r2)
|
|
|
|
|
|
@util.propertycache
|
|
|
def _list(self):
|
|
|
if not self._genlist:
|
|
|
self._genlist = baseset(iter(self))
|
|
|
return self._genlist
|
|
|
|
|
|
def __iter__(self):
|
|
|
"""Iterate over both collections without repeating elements
|
|
|
|
|
|
If the ascending attribute is not set, iterate over the first one and
|
|
|
then over the second one checking for membership on the first one so we
|
|
|
dont yield any duplicates.
|
|
|
|
|
|
If the ascending attribute is set, iterate over both collections at the
|
|
|
same time, yielding only one value at a time in the given order.
|
|
|
"""
|
|
|
if self._ascending is None:
|
|
|
if self._genlist:
|
|
|
return iter(self._genlist)
|
|
|
def arbitraryordergen():
|
|
|
for r in self._r1:
|
|
|
yield r
|
|
|
inr1 = self._r1.__contains__
|
|
|
for r in self._r2:
|
|
|
if not inr1(r):
|
|
|
yield r
|
|
|
return arbitraryordergen()
|
|
|
# try to use our own fast iterator if it exists
|
|
|
self._trysetasclist()
|
|
|
if self._ascending:
|
|
|
attr = 'fastasc'
|
|
|
else:
|
|
|
attr = 'fastdesc'
|
|
|
it = getattr(self, attr)
|
|
|
if it is not None:
|
|
|
return it()
|
|
|
# maybe half of the component supports fast
|
|
|
# get iterator for _r1
|
|
|
iter1 = getattr(self._r1, attr)
|
|
|
if iter1 is None:
|
|
|
# let's avoid side effect (not sure it matters)
|
|
|
iter1 = iter(sorted(self._r1, reverse=not self._ascending))
|
|
|
else:
|
|
|
iter1 = iter1()
|
|
|
# get iterator for _r2
|
|
|
iter2 = getattr(self._r2, attr)
|
|
|
if iter2 is None:
|
|
|
# let's avoid side effect (not sure it matters)
|
|
|
iter2 = iter(sorted(self._r2, reverse=not self._ascending))
|
|
|
else:
|
|
|
iter2 = iter2()
|
|
|
return _iterordered(self._ascending, iter1, iter2)
|
|
|
|
|
|
def _trysetasclist(self):
|
|
|
"""populate the _asclist attribute if possible and necessary"""
|
|
|
if self._genlist is not None and self._asclist is None:
|
|
|
self._asclist = sorted(self._genlist)
|
|
|
|
|
|
@property
|
|
|
def fastasc(self):
|
|
|
self._trysetasclist()
|
|
|
if self._asclist is not None:
|
|
|
return self._asclist.__iter__
|
|
|
iter1 = self._r1.fastasc
|
|
|
iter2 = self._r2.fastasc
|
|
|
if None in (iter1, iter2):
|
|
|
return None
|
|
|
return lambda: _iterordered(True, iter1(), iter2())
|
|
|
|
|
|
@property
|
|
|
def fastdesc(self):
|
|
|
self._trysetasclist()
|
|
|
if self._asclist is not None:
|
|
|
return self._asclist.__reversed__
|
|
|
iter1 = self._r1.fastdesc
|
|
|
iter2 = self._r2.fastdesc
|
|
|
if None in (iter1, iter2):
|
|
|
return None
|
|
|
return lambda: _iterordered(False, iter1(), iter2())
|
|
|
|
|
|
def __contains__(self, x):
|
|
|
return x in self._r1 or x in self._r2
|
|
|
|
|
|
def sort(self, reverse=False):
|
|
|
"""Sort the added set
|
|
|
|
|
|
For this we use the cached list with all the generated values and if we
|
|
|
know they are ascending or descending we can sort them in a smart way.
|
|
|
"""
|
|
|
self._ascending = not reverse
|
|
|
|
|
|
def isascending(self):
|
|
|
return self._ascending is not None and self._ascending
|
|
|
|
|
|
def isdescending(self):
|
|
|
return self._ascending is not None and not self._ascending
|
|
|
|
|
|
def istopo(self):
|
|
|
# not worth the trouble asserting if the two sets combined are still
|
|
|
# in topographical order. Use the sort() predicate to explicitly sort
|
|
|
# again instead.
|
|
|
return False
|
|
|
|
|
|
def reverse(self):
|
|
|
if self._ascending is None:
|
|
|
self._list.reverse()
|
|
|
else:
|
|
|
self._ascending = not self._ascending
|
|
|
|
|
|
def first(self):
|
|
|
for x in self:
|
|
|
return x
|
|
|
return None
|
|
|
|
|
|
def last(self):
|
|
|
self.reverse()
|
|
|
val = self.first()
|
|
|
self.reverse()
|
|
|
return val
|
|
|
|
|
|
def __repr__(self):
|
|
|
d = {None: '', False: '-', True: '+'}[self._ascending]
|
|
|
return '<%s%s %r, %r>' % (type(self).__name__, d, self._r1, self._r2)
|
|
|
|
|
|
class generatorset(abstractsmartset):
|
|
|
"""Wrap a generator for lazy iteration
|
|
|
|
|
|
Wrapper structure for generators that provides lazy membership and can
|
|
|
be iterated more than once.
|
|
|
When asked for membership it generates values until either it finds the
|
|
|
requested one or has gone through all the elements in the generator
|
|
|
"""
|
|
|
def __init__(self, gen, iterasc=None):
|
|
|
"""
|
|
|
gen: a generator producing the values for the generatorset.
|
|
|
"""
|
|
|
self._gen = gen
|
|
|
self._asclist = None
|
|
|
self._cache = {}
|
|
|
self._genlist = []
|
|
|
self._finished = False
|
|
|
self._ascending = True
|
|
|
if iterasc is not None:
|
|
|
if iterasc:
|
|
|
self.fastasc = self._iterator
|
|
|
self.__contains__ = self._asccontains
|
|
|
else:
|
|
|
self.fastdesc = self._iterator
|
|
|
self.__contains__ = self._desccontains
|
|
|
|
|
|
def __nonzero__(self):
|
|
|
# Do not use 'for r in self' because it will enforce the iteration
|
|
|
# order (default ascending), possibly unrolling a whole descending
|
|
|
# iterator.
|
|
|
if self._genlist:
|
|
|
return True
|
|
|
for r in self._consumegen():
|
|
|
return True
|
|
|
return False
|
|
|
|
|
|
def __contains__(self, x):
|
|
|
if x in self._cache:
|
|
|
return self._cache[x]
|
|
|
|
|
|
# Use new values only, as existing values would be cached.
|
|
|
for l in self._consumegen():
|
|
|
if l == x:
|
|
|
return True
|
|
|
|
|
|
self._cache[x] = False
|
|
|
return False
|
|
|
|
|
|
def _asccontains(self, x):
|
|
|
"""version of contains optimised for ascending generator"""
|
|
|
if x in self._cache:
|
|
|
return self._cache[x]
|
|
|
|
|
|
# Use new values only, as existing values would be cached.
|
|
|
for l in self._consumegen():
|
|
|
if l == x:
|
|
|
return True
|
|
|
if l > x:
|
|
|
break
|
|
|
|
|
|
self._cache[x] = False
|
|
|
return False
|
|
|
|
|
|
def _desccontains(self, x):
|
|
|
"""version of contains optimised for descending generator"""
|
|
|
if x in self._cache:
|
|
|
return self._cache[x]
|
|
|
|
|
|
# Use new values only, as existing values would be cached.
|
|
|
for l in self._consumegen():
|
|
|
if l == x:
|
|
|
return True
|
|
|
if l < x:
|
|
|
break
|
|
|
|
|
|
self._cache[x] = False
|
|
|
return False
|
|
|
|
|
|
def __iter__(self):
|
|
|
if self._ascending:
|
|
|
it = self.fastasc
|
|
|
else:
|
|
|
it = self.fastdesc
|
|
|
if it is not None:
|
|
|
return it()
|
|
|
# we need to consume the iterator
|
|
|
for x in self._consumegen():
|
|
|
pass
|
|
|
# recall the same code
|
|
|
return iter(self)
|
|
|
|
|
|
def _iterator(self):
|
|
|
if self._finished:
|
|
|
return iter(self._genlist)
|
|
|
|
|
|
# We have to use this complex iteration strategy to allow multiple
|
|
|
# iterations at the same time. We need to be able to catch revision
|
|
|
# removed from _consumegen and added to genlist in another instance.
|
|
|
#
|
|
|
# Getting rid of it would provide an about 15% speed up on this
|
|
|
# iteration.
|
|
|
genlist = self._genlist
|
|
|
nextrev = self._consumegen().next
|
|
|
_len = len # cache global lookup
|
|
|
def gen():
|
|
|
i = 0
|
|
|
while True:
|
|
|
if i < _len(genlist):
|
|
|
yield genlist[i]
|
|
|
else:
|
|
|
yield nextrev()
|
|
|
i += 1
|
|
|
return gen()
|
|
|
|
|
|
def _consumegen(self):
|
|
|
cache = self._cache
|
|
|
genlist = self._genlist.append
|
|
|
for item in self._gen:
|
|
|
cache[item] = True
|
|
|
genlist(item)
|
|
|
yield item
|
|
|
if not self._finished:
|
|
|
self._finished = True
|
|
|
asc = self._genlist[:]
|
|
|
asc.sort()
|
|
|
self._asclist = asc
|
|
|
self.fastasc = asc.__iter__
|
|
|
self.fastdesc = asc.__reversed__
|
|
|
|
|
|
def __len__(self):
|
|
|
for x in self._consumegen():
|
|
|
pass
|
|
|
return len(self._genlist)
|
|
|
|
|
|
def sort(self, reverse=False):
|
|
|
self._ascending = not reverse
|
|
|
|
|
|
def reverse(self):
|
|
|
self._ascending = not self._ascending
|
|
|
|
|
|
def isascending(self):
|
|
|
return self._ascending
|
|
|
|
|
|
def isdescending(self):
|
|
|
return not self._ascending
|
|
|
|
|
|
def istopo(self):
|
|
|
# not worth the trouble asserting if the two sets combined are still
|
|
|
# in topographical order. Use the sort() predicate to explicitly sort
|
|
|
# again instead.
|
|
|
return False
|
|
|
|
|
|
def first(self):
|
|
|
if self._ascending:
|
|
|
it = self.fastasc
|
|
|
else:
|
|
|
it = self.fastdesc
|
|
|
if it is None:
|
|
|
# we need to consume all and try again
|
|
|
for x in self._consumegen():
|
|
|
pass
|
|
|
return self.first()
|
|
|
return next(it(), None)
|
|
|
|
|
|
def last(self):
|
|
|
if self._ascending:
|
|
|
it = self.fastdesc
|
|
|
else:
|
|
|
it = self.fastasc
|
|
|
if it is None:
|
|
|
# we need to consume all and try again
|
|
|
for x in self._consumegen():
|
|
|
pass
|
|
|
return self.first()
|
|
|
return next(it(), None)
|
|
|
|
|
|
def __repr__(self):
|
|
|
d = {False: '-', True: '+'}[self._ascending]
|
|
|
return '<%s%s>' % (type(self).__name__, d)
|
|
|
|
|
|
class spanset(abstractsmartset):
|
|
|
"""Duck type for baseset class which represents a range of revisions and
|
|
|
can work lazily and without having all the range in memory
|
|
|
|
|
|
Note that spanset(x, y) behave almost like xrange(x, y) except for two
|
|
|
notable points:
|
|
|
- when x < y it will be automatically descending,
|
|
|
- revision filtered with this repoview will be skipped.
|
|
|
|
|
|
"""
|
|
|
def __init__(self, repo, start=0, end=None):
|
|
|
"""
|
|
|
start: first revision included the set
|
|
|
(default to 0)
|
|
|
end: first revision excluded (last+1)
|
|
|
(default to len(repo)
|
|
|
|
|
|
Spanset will be descending if `end` < `start`.
|
|
|
"""
|
|
|
if end is None:
|
|
|
end = len(repo)
|
|
|
self._ascending = start <= end
|
|
|
if not self._ascending:
|
|
|
start, end = end + 1, start +1
|
|
|
self._start = start
|
|
|
self._end = end
|
|
|
self._hiddenrevs = repo.changelog.filteredrevs
|
|
|
|
|
|
def sort(self, reverse=False):
|
|
|
self._ascending = not reverse
|
|
|
|
|
|
def reverse(self):
|
|
|
self._ascending = not self._ascending
|
|
|
|
|
|
def istopo(self):
|
|
|
# not worth the trouble asserting if the two sets combined are still
|
|
|
# in topographical order. Use the sort() predicate to explicitly sort
|
|
|
# again instead.
|
|
|
return False
|
|
|
|
|
|
def _iterfilter(self, iterrange):
|
|
|
s = self._hiddenrevs
|
|
|
for r in iterrange:
|
|
|
if r not in s:
|
|
|
yield r
|
|
|
|
|
|
def __iter__(self):
|
|
|
if self._ascending:
|
|
|
return self.fastasc()
|
|
|
else:
|
|
|
return self.fastdesc()
|
|
|
|
|
|
def fastasc(self):
|
|
|
iterrange = xrange(self._start, self._end)
|
|
|
if self._hiddenrevs:
|
|
|
return self._iterfilter(iterrange)
|
|
|
return iter(iterrange)
|
|
|
|
|
|
def fastdesc(self):
|
|
|
iterrange = xrange(self._end - 1, self._start - 1, -1)
|
|
|
if self._hiddenrevs:
|
|
|
return self._iterfilter(iterrange)
|
|
|
return iter(iterrange)
|
|
|
|
|
|
def __contains__(self, rev):
|
|
|
hidden = self._hiddenrevs
|
|
|
return ((self._start <= rev < self._end)
|
|
|
and not (hidden and rev in hidden))
|
|
|
|
|
|
def __nonzero__(self):
|
|
|
for r in self:
|
|
|
return True
|
|
|
return False
|
|
|
|
|
|
def __len__(self):
|
|
|
if not self._hiddenrevs:
|
|
|
return abs(self._end - self._start)
|
|
|
else:
|
|
|
count = 0
|
|
|
start = self._start
|
|
|
end = self._end
|
|
|
for rev in self._hiddenrevs:
|
|
|
if (end < rev <= start) or (start <= rev < end):
|
|
|
count += 1
|
|
|
return abs(self._end - self._start) - count
|
|
|
|
|
|
def isascending(self):
|
|
|
return self._ascending
|
|
|
|
|
|
def isdescending(self):
|
|
|
return not self._ascending
|
|
|
|
|
|
def first(self):
|
|
|
if self._ascending:
|
|
|
it = self.fastasc
|
|
|
else:
|
|
|
it = self.fastdesc
|
|
|
for x in it():
|
|
|
return x
|
|
|
return None
|
|
|
|
|
|
def last(self):
|
|
|
if self._ascending:
|
|
|
it = self.fastdesc
|
|
|
else:
|
|
|
it = self.fastasc
|
|
|
for x in it():
|
|
|
return x
|
|
|
return None
|
|
|
|
|
|
def __repr__(self):
|
|
|
d = {False: '-', True: '+'}[self._ascending]
|
|
|
return '<%s%s %d:%d>' % (type(self).__name__, d,
|
|
|
self._start, self._end - 1)
|
|
|
|
|
|
class fullreposet(spanset):
|
|
|
"""a set containing all revisions in the repo
|
|
|
|
|
|
This class exists to host special optimization and magic to handle virtual
|
|
|
revisions such as "null".
|
|
|
"""
|
|
|
|
|
|
def __init__(self, repo):
|
|
|
super(fullreposet, self).__init__(repo)
|
|
|
|
|
|
def __and__(self, other):
|
|
|
"""As self contains the whole repo, all of the other set should also be
|
|
|
in self. Therefore `self & other = other`.
|
|
|
|
|
|
This boldly assumes the other contains valid revs only.
|
|
|
"""
|
|
|
# other not a smartset, make is so
|
|
|
if not util.safehasattr(other, 'isascending'):
|
|
|
# filter out hidden revision
|
|
|
# (this boldly assumes all smartset are pure)
|
|
|
#
|
|
|
# `other` was used with "&", let's assume this is a set like
|
|
|
# object.
|
|
|
other = baseset(other - self._hiddenrevs)
|
|
|
|
|
|
other.sort(reverse=self.isdescending())
|
|
|
return other
|
|
|
|
|
|
def prettyformat(revs):
|
|
|
lines = []
|
|
|
rs = repr(revs)
|
|
|
p = 0
|
|
|
while p < len(rs):
|
|
|
q = rs.find('<', p + 1)
|
|
|
if q < 0:
|
|
|
q = len(rs)
|
|
|
l = rs.count('<', 0, p) - rs.count('>', 0, p)
|
|
|
assert l >= 0
|
|
|
lines.append((l, rs[p:q].rstrip()))
|
|
|
p = q
|
|
|
return '\n'.join(' ' * l + s for l, s in lines)
|
|
|
|
