Delete swarm_client.

swarm_client/utils/short_expression_finder.py

Index: swarm_client/utils/short_expression_finder.py
===================================================================
--- swarm_client/utils/short_expression_finder.py	(revision 235167)
+++ swarm_client/utils/short_expression_finder.py	(working copy)
@@ -1,176 +0,0 @@
-# Copyright 2013 The Chromium Authors. All rights reserved.
-# Use of this source code is governed by a BSD-style license that can be
-# found in the LICENSE file.
-
-"""Generates short, hopefully readable Python expressions that test variables
-for certain combinations of values.
-"""
-
-import itertools
-import re
-
-
-class ShortExpressionFinder(object):
-  """Usage:
-    >>> sef = ShortExpressionFinder([('foo', ("a", "b", "c", "d")),
-    ...                              ('bar', (1, 2))])
-    >>> sef.get_expr([("a", 1)])
-    foo=="a" and bar==1
-    >>> sef.get_expr([("a", 1), ("b", 2), ("c", 1)])
-    ((foo=="a" or foo=="c") and bar==1) or (foo=="b" and bar==2)
-
-  The returned expressions are of the form
-    EXPR ::= EXPR2 ( "or" EXPR2 )*
-    EXPR2 ::= EXPR3 ( "and" EXPR3 )*
-    EXPR3 ::= VAR "==" VALUE ( "or" VAR "==" VALUE )*
-  where all of the comparisons in an EXPR2 involve the same variable.
-  Only positive tests are used so that all expressions will evaluate false if
-  given an unanticipated combination of values.
-
-  A "cheapest" expression is returned. The cost of an expression is a function
-  of the number of var==value comparisons and the number of parentheses.
-
-  The expression is found by exhaustive search, but it seems to be adequately
-  fast even for fairly large sets of configuration variables.
-  """
-
-  # These must be positive integers.
-  COMPARISON_COST = 1
-  PAREN_COST = 1
-
-  def __init__(self, variables_and_values):
-    assert variables_and_values
-    for k, vs in variables_and_values:
-      assert re.match(r'\w+\Z', k)
-      assert vs
-      assert (all(isinstance(v, int) for v in vs) or
-          all(re.match(r'\w+\Z', v) for v in vs))
-
-    variables, values = zip(*((k, sorted(v)) for k, v in variables_and_values))
-    valuecounts = map(len, values)
-    base_tests_by_cost = {}
-
-    # Loop over nonempty subsets of values of each variable. This is about 2^n
-    # cases where n is the total number of values (currently 2+3=5 in Chrome).
-    for subsets in itertools.product(*(range(1, 1 << n) for n in valuecounts)):
-      # Supposing values == [['a', 'b', 'c'], [1, 2]], there are six
-      # configurations: ('a', 1), ('a', 2), ('b', 1), etc. Each gets a bit, in
-      # that order starting from the LSB. Start with the equivalent of
-      # set([('a', 1)]) and massage that into the correct set of configs.
-      bits = 1
-      shift = 1
-      cost = 0
-      for subset, valuecount in zip(subsets, valuecounts):
-        oldbits, bits = bits, 0
-        while subset:
-          if subset & 1:
-            bits |= oldbits
-            cost += self.COMPARISON_COST
-          oldbits <<= shift
-          subset >>= 1
-        shift *= valuecount
-      # Charge an extra set of parens for the whole expression,
-      # which is removed later if appropriate.
-      cost += self.PAREN_COST * (1 + sum(bool(n & (n-1)) for n in subsets))
-      base_tests_by_cost.setdefault(cost, {})[bits] = subsets
-
-    self.variables = variables
-    self.values = values
-    self.base_tests_by_cost = base_tests_by_cost
-
-  def get_expr(self, configs):
-    assert configs
-    for config in configs:
-      assert len(config) == len(self.values)
-      assert all(val in vals for val, vals in zip(config, self.values))
-    return self._format_expr(self._get_expr_internal(configs))
-
-  def _get_expr_internal(self, configs):
-    bits = 0
-    for config in configs:
-      bit = 1
-      n = 1
-      for value, values in zip(config, self.values):
-        bit <<= (n * values.index(value))
-        n *= len(values)
-      bits |= bit
-    notbits = ~bits
-
-    def try_partitions(parts, bits):
-      for cost, subparts in parts:
-        if cost is None:
-          return None if bits else ()
-        try:
-          tests = self.base_tests_by_cost[cost]
-        except KeyError:
-          continue
-        for test in tests:
-          if (test & bits) and not (test & notbits):
-            result = try_partitions(subparts, bits & ~test)
-            if result is not None:
-              return (tests[test],) + result
-      return None
-
-    for total_cost in itertools.count(0):
-      try:
-        return (self.base_tests_by_cost[total_cost + self.PAREN_COST][bits],)
-      except KeyError:
-        result = try_partitions(tuple(partitions(total_cost, self.PAREN_COST)),
-                                bits)
-        if result is not None:
-          return result
-
-  def _format_expr(self, expr):
-    out = []
-    for expr2 in expr:
-      out2 = []
-      for name, values, expr3 in zip(self.variables, self.values, expr2):
-        out3 = []
-        for value in values:
-          if expr3 & 1:
-            if isinstance(value, basestring):
-              value = '"%s"' % value
-            out3.append('%s==%s' % (name, value))
-          expr3 >>= 1
-        out2.append(' or '.join(out3))
-        if len(out3) > 1 and len(expr2) > 1:
-          out2[-1] = '(%s)' % out2[-1]
-      out.append(' and '.join(out2))
-      if len(out2) > 1 and len(expr) > 1:
-        out[-1] = '(%s)' % out[-1]
-    return ' or '.join(out)
-
-
-def partitions(n, minimum):
-  """Yields all the ways of expressing n as a sum of integers >= minimum,
-  in a slightly odd tree format. Most of the tree is left unevaluated.
-  Example:
-  partitions(4, 1) ==>
-       [1, <[1, <[1, <[1, <end>]>],
-                 [2, <end>]>],
-            [3, <end>]>],
-       [2, <[2, <end>]>],
-       [4, <end>]
-  where <...> is a lazily-evaluated list and end == [None, None].
-  """
-  if n == 0:
-    yield (None, None)
-  for k in range(n, minimum - 1, -1):
-    children = partitions(n - k, k)
-    # We could just yield [k, children] here, but that would create a lot of
-    # blind alleys with no actual partitions.
-    try:
-      yield [k, MemoizedIterable(itertools.chain([next(children)], children))]
-    except StopIteration:
-      pass
-
-
-class MemoizedIterable(object):
-  """Wrapper for an iterable that fully evaluates and caches the values the
-  first time it is iterated over.
-  """
-  def __init__(self, iterable):
-    self.iterable = iterable
-  def __iter__(self):
-    self.iterable = tuple(self.iterable)
-    return iter(self.iterable)