YODA is hosted by Hepforge, IPPP Durham

Source code for yoda.search

#! /usr/bin/env python

import re

## A tool for filtering AO collections by path patterns
[docs]def match_aos(aos, patts, unpatts=None, search=False): """ Filter a list of analysis objects to those which match given path-matching patterns. @a patts is a regex or iterable of regexes for positive matching, i.e. retention; @a unpatts is the equivalent for negative matching, i.e. rejection even if a patt matches. @a search will use Python regex search mode rather than match mode, i.e. match if any part of the path fits the regex, rather than requiring a match from the start of the path. """ rtn = [] ## Internally we just use the list of AOs, not dict keys if type(aos) is dict: aos = aos.values() ## Normalise the pattern arg inputs if patts and type(patts) is str: patts = [patts] re_patts = [re.compile(p) for p in patts] if patts else None if unpatts and type(unpatts) is str: unpatts = [unpatts] re_unpatts = [re.compile(p) for p in unpatts] if unpatts else None ## Apply pattern matching to each AO for ao in aos: match = False if re_patts: for rp in re_patts: if (not search and rp.match(ao.path)) or (search and rp.search(ao.path)): match = True break if match and re_unpatts: for rp in re_unpatts: if (not search and rp.match(ao.path)) or (search and rp.search(ao.path)): match = False break if match: rtn.append(ao) return rtn
[docs]class PointMatcher(object): """\ System for selecting subsets of bins based on a search range syntax extended from Professor weight files: Path structure: /path/parts/to/histo[syst_variation]@xmin:xmax or: /path/parts/to/histo[syst_variation]#nmin:nmax TODO: Extend to multi-dimensional ranges i.e. @xmin:xmax,#nymin:nymax,... """ def __init__(self, patt): self.re_patt = re.compile(r"([^#@]+)(#\d+|@[\d\.:]+)?") self.set_patt(patt)
[docs] def set_patt(self, patt): "Find path and index/pos parts of patt and assign them to object attrs" self.patt = None self.path = None self.indextype = None self.index = None if not patt: return ## Strip separated comments patt = re.sub(r"(^|\s+)#.*", "", patt) self.patt = patt.strip() match = self.re_patt.match(self.patt) if match: self.path = re.compile(match.group(1)) if match.group(2): # TODO: handle mixed-type ranges? self.indextype, indexstr = match.group(2)[0], match.group(2)[1:] if self.indextype: if not ":" in indexstr: self.index = float(indexstr) else: indexstr2 = indexstr.split(":", 1) if not indexstr2[0]: indexstr2[0] = "-inf" if not indexstr2[1]: indexstr2[1] = "inf" self.index = [float(istr) for istr in indexstr2]
def match_path(self, path): return self.path.match(path) is not None def search_path(self, path): return self.path.search(path) is not None
[docs] def match_pos(self, p): """Decide if a given point p is in the match range. p must be an object with attrs xmin, xmax, n TODO: Use open ranges to include underflow and overflow TODO: Allow negative indices in Python style, and use index=-1 to mean the N+1 index needed to include the last bin without picking up the overflow, too. TODO: Extension to multiple dimensions """ if not self.indextype: accept = True elif self.indextype == "#": if type(self.index) is float: accept = (p.n == int(self.index)) else: accept = (p.n >= self.index[0] and p.n < self.index[1]) else: # self.indextype == "@" if type(self.index) is float: accept = (self.index >= p.xmin and self.index < p.xmax) else: accept = (p.xmax > self.index[0] and p.xmin <= self.index[1]) return accept
def __repr__(self): s = "PointMatcher('%s' %s %s %s)" % (self.patt, self.path, self.indextype, self.index) return s
if __name__ == "__main__": import numpy as np from pprint import pprint class Point(object): def __init__(self, path, n, xmin, xmax, value=None): self.path = path self.n = n #< bin index self.xmin = xmin self.xmax = xmax self.value = value def __repr__(self): val = " = {}".format(self.value) if self.value else "" return "Point({} #{:d} {:.2e}--{:.2e}{})".format(self.path, self.n, self.xmin, self.xmax, val) POINTS = [] xs = np.linspace(0, 10, 5) POINTS += [Point("/foo", i, xs[i], xs[i+1]) for i in xrange(len(xs)-1)] xs = np.linspace(0, 100, 50) POINTS += [Point("/bar", i, xs[i], xs[i+1]) for i in xrange(len(xs)-1)] xs = np.linspace(0, np.pi, 20) POINTS += [Point("/baz/pi", i, xs[i], xs[i+1]) for i in xrange(len(xs)-1)] xs = np.logspace(0.1, 50, 20) POINTS += [Point("/baz/log", i, xs[i], xs[i+1]) for i in xrange(len(xs)-1)] pprint(POINTS) pms = [PointMatcher("/foo # this bit is a comment"), PointMatcher("/bar#1 # this bit is a comment"), PointMatcher("/baz/pi@2.76 # this bit is a comment"), PointMatcher("/baz/.*@:1.32 # this bit is a comment"), PointMatcher("/baz/.*@2.76: # this bit is a comment")] pprint(pms) for pm in pms: print print pm.patt, pm.indextype, pm.index pprint( [p for p in POINTS if pm.match_path(p.path) and pm.match_pos(p)] )