80 lines
2.8 KiB
Python
80 lines
2.8 KiB
Python
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#!/usr/bin/python
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import sys
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import re
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import io
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definitionSet = set()
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definitionToSourceLocationMap = dict()
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callSet = set()
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sourceLocationSet = set()
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# things we need to exclude for reasons like :
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# - it's a weird template thingy that confuses the plugin
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exclusionSet = set([
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])
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# clang does not always use exactly the same numbers in the type-parameter vars it generates
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# so I need to substitute them to ensure we can match correctly.
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normalizeTypeParamsRegex = re.compile(r"type-parameter-\d+-\d+")
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def normalizeTypeParams( line ):
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return normalizeTypeParamsRegex.sub("type-parameter-?-?", line)
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# The parsing here is designed to avoid grabbing stuff which is mixed in from gbuild.
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# I have not yet found a way of suppressing the gbuild output.
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with io.open(sys.argv[1], "rb", buffering=1024*1024) as txt:
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for line in txt:
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if line.startswith("definition:\t"):
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idx1 = line.find("\t",12)
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idx2 = line.find("\t",idx1+1)
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funcInfo = (normalizeTypeParams(line[12:idx1]), normalizeTypeParams(line[idx1+1:idx2]))
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definitionSet.add(funcInfo)
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definitionToSourceLocationMap[funcInfo] = line[idx2+1:].strip()
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elif line.startswith("touch:\t"):
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idx1 = line.find("\t",7)
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callInfo = (normalizeTypeParams(line[7:idx1]), normalizeTypeParams(line[idx1+1:].strip()))
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callSet.add(callInfo)
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# Invert the definitionToSourceLocationMap
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# If we see more than one method at the same sourceLocation, it's being autogenerated as part of a template
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# and we should just ignore
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sourceLocationToDefinitionMap = {}
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for k, v in definitionToSourceLocationMap.iteritems():
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sourceLocationToDefinitionMap[v] = sourceLocationToDefinitionMap.get(v, [])
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sourceLocationToDefinitionMap[v].append(k)
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for k, definitions in sourceLocationToDefinitionMap.iteritems():
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if len(definitions) > 1:
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for d in definitions:
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definitionSet.remove(d)
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tmp1set = set()
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for d in definitionSet:
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clazz = d[0] + " " + d[1]
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if clazz in exclusionSet:
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continue
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if d in callSet:
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continue
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if (definitionToSourceLocationMap[d].startswith("include/")):
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continue
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tmp1set.add((clazz, definitionToSourceLocationMap[d]))
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# sort the results using a "natural order" so sequences like [item1,item2,item10] sort nicely
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def natural_sort_key(s, _nsre=re.compile('([0-9]+)')):
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return [int(text) if text.isdigit() else text.lower()
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for text in re.split(_nsre, s)]
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# sort results by name and line number
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tmp1list = sorted(tmp1set, key=lambda v: natural_sort_key(v[1]))
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# print out the results
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for t in tmp1list:
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print t[1]
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print " ", t[0]
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# add an empty line at the end to make it easier for the unusedFieldsremove plugin to mmap() the output file
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print
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