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f4edf082e8
Summary: In Python 2, calling `dict.items()` returns an indexable `list`, whereas on Python 3 it returns a set-like `dict_items` object, which cannot be indexed. Explicitly onvert the `dict_items` object so that it can be indexed when using Python 3. In combination with D36622, D36623, and D36624, this change allows `opt-viewer.py` to exit successfully when run with Python 3.4. Test Plan: Run `opt-viewer.py` using Python 3.4 and confirm it does not encounter a runtime error when when indexing into `dict.items()`. Reviewers: anemet Reviewed By: anemet Subscribers: llvm-commits Differential Revision: https://reviews.llvm.org/D36630 llvm-svn: 310810
299 lines
8.4 KiB
Python
299 lines
8.4 KiB
Python
#!/usr/bin/env python2.7
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from __future__ import print_function
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import yaml
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# Try to use the C parser.
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try:
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from yaml import CLoader as Loader
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except ImportError:
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print("For faster parsing, you may want to install libYAML for PyYAML")
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from yaml import Loader
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import cgi
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from collections import defaultdict
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import fnmatch
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import functools
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from multiprocessing import Lock
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import os, os.path
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import subprocess
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try:
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# The previously builtin function `intern()` was moved
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# to the `sys` module in Python 3.
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from sys import intern
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except:
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pass
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import optpmap
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p = subprocess.Popen(['c++filt', '-n'], stdin=subprocess.PIPE, stdout=subprocess.PIPE)
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p_lock = Lock()
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try:
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dict.iteritems
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except AttributeError:
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# Python 3
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def itervalues(d):
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return iter(d.values())
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def iteritems(d):
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return iter(d.items())
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else:
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# Python 2
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def itervalues(d):
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return d.itervalues()
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def iteritems(d):
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return d.iteritems()
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def demangle(name):
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with p_lock:
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p.stdin.write((name + '\n').encode('utf-8'))
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p.stdin.flush()
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return p.stdout.readline().rstrip().decode('utf-8')
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def html_file_name(filename):
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return filename.replace('/', '_').replace('#', '_') + ".html"
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def make_link(File, Line):
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return "\"{}#L{}\"".format(html_file_name(File), Line)
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class Remark(yaml.YAMLObject):
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# Work-around for http://pyyaml.org/ticket/154.
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yaml_loader = Loader
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# Intern all strings since we have lot of duplication across filenames,
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# remark text.
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#
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# Change Args from a list of dicts to a tuple of tuples. This saves
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# memory in two ways. One, a small tuple is significantly smaller than a
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# small dict. Two, using tuple instead of list allows Args to be directly
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# used as part of the key (in Python only immutable types are hashable).
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def _reduce_memory(self):
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self.Pass = intern(self.Pass)
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self.Name = intern(self.Name)
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self.Function = intern(self.Function)
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def _reduce_memory_dict(old_dict):
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new_dict = dict()
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for (k, v) in iteritems(old_dict):
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if type(k) is str:
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k = intern(k)
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if type(v) is str:
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v = intern(v)
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elif type(v) is dict:
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# This handles [{'Caller': ..., 'DebugLoc': { 'File': ... }}]
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v = _reduce_memory_dict(v)
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new_dict[k] = v
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return tuple(new_dict.items())
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self.Args = tuple([_reduce_memory_dict(arg_dict) for arg_dict in self.Args])
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# The inverse operation of the dictonary-related memory optimization in
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# _reduce_memory_dict. E.g.
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# (('DebugLoc', (('File', ...) ... ))) -> [{'DebugLoc': {'File': ...} ....}]
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def recover_yaml_structure(self):
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def tuple_to_dict(t):
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d = dict()
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for (k, v) in t:
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if type(v) is tuple:
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v = tuple_to_dict(v)
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d[k] = v
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return d
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self.Args = [tuple_to_dict(arg_tuple) for arg_tuple in self.Args]
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def canonicalize(self):
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if not hasattr(self, 'Hotness'):
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self.Hotness = 0
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if not hasattr(self, 'Args'):
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self.Args = []
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self._reduce_memory()
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@property
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def File(self):
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return self.DebugLoc['File']
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@property
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def Line(self):
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return int(self.DebugLoc['Line'])
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@property
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def Column(self):
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return self.DebugLoc['Column']
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@property
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def DebugLocString(self):
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return "{}:{}:{}".format(self.File, self.Line, self.Column)
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@property
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def DemangledFunctionName(self):
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return demangle(self.Function)
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@property
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def Link(self):
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return make_link(self.File, self.Line)
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def getArgString(self, mapping):
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mapping = dict(list(mapping))
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dl = mapping.get('DebugLoc')
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if dl:
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del mapping['DebugLoc']
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assert(len(mapping) == 1)
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(key, value) = list(mapping.items())[0]
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if key == 'Caller' or key == 'Callee':
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value = cgi.escape(demangle(value))
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if dl and key != 'Caller':
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dl_dict = dict(list(dl))
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return "<a href={}>{}</a>".format(
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make_link(dl_dict['File'], dl_dict['Line']), value)
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else:
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return value
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def getDiffPrefix(self):
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if hasattr(self, 'Added'):
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if self.Added:
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return '+'
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else:
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return '-'
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return ''
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@property
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def PassWithDiffPrefix(self):
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return self.getDiffPrefix() + self.Pass
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@property
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def message(self):
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# Args is a list of mappings (dictionaries)
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values = [self.getArgString(mapping) for mapping in self.Args]
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return "".join(values)
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@property
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def RelativeHotness(self):
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if self.max_hotness:
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return "{}%".format(int(round(self.Hotness * 100 / self.max_hotness)))
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else:
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return ''
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@property
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def key(self):
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return (self.__class__, self.PassWithDiffPrefix, self.Name, self.File,
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self.Line, self.Column, self.Function, self.Args)
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def __hash__(self):
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return hash(self.key)
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def __eq__(self, other):
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return self.key == other.key
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def __repr__(self):
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return str(self.key)
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class Analysis(Remark):
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yaml_tag = '!Analysis'
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@property
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def color(self):
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return "white"
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class AnalysisFPCommute(Analysis):
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yaml_tag = '!AnalysisFPCommute'
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class AnalysisAliasing(Analysis):
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yaml_tag = '!AnalysisAliasing'
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class Passed(Remark):
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yaml_tag = '!Passed'
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@property
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def color(self):
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return "green"
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class Missed(Remark):
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yaml_tag = '!Missed'
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@property
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def color(self):
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return "red"
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def get_remarks(input_file):
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max_hotness = 0
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all_remarks = dict()
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file_remarks = defaultdict(functools.partial(defaultdict, list))
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with open(input_file) as f:
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docs = yaml.load_all(f, Loader=Loader)
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for remark in docs:
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remark.canonicalize()
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# Avoid remarks withoug debug location or if they are duplicated
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if not hasattr(remark, 'DebugLoc') or remark.key in all_remarks:
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continue
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all_remarks[remark.key] = remark
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file_remarks[remark.File][remark.Line].append(remark)
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# If we're reading a back a diff yaml file, max_hotness is already
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# captured which may actually be less than the max hotness found
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# in the file.
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if hasattr(remark, 'max_hotness'):
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max_hotness = remark.max_hotness
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max_hotness = max(max_hotness, remark.Hotness)
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return max_hotness, all_remarks, file_remarks
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def gather_results(filenames, num_jobs, should_print_progress):
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if should_print_progress:
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print('Reading YAML files...')
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remarks = optpmap.pmap(
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get_remarks, filenames, num_jobs, should_print_progress)
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max_hotness = max(entry[0] for entry in remarks)
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def merge_file_remarks(file_remarks_job, all_remarks, merged):
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for filename, d in iteritems(file_remarks_job):
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for line, remarks in iteritems(d):
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for remark in remarks:
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# Bring max_hotness into the remarks so that
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# RelativeHotness does not depend on an external global.
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remark.max_hotness = max_hotness
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if remark.key not in all_remarks:
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merged[filename][line].append(remark)
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all_remarks = dict()
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file_remarks = defaultdict(functools.partial(defaultdict, list))
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for _, all_remarks_job, file_remarks_job in remarks:
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merge_file_remarks(file_remarks_job, all_remarks, file_remarks)
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all_remarks.update(all_remarks_job)
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return all_remarks, file_remarks, max_hotness != 0
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def find_opt_files(dirs_or_files):
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all = []
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for dir_or_file in dirs_or_files:
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if os.path.isfile(dir_or_file):
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all.append(dir_or_file)
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else:
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for dir, subdirs, files in os.walk(dir_or_file):
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# Exclude mounted directories and symlinks (os.walk default).
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subdirs[:] = [d for d in subdirs
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if not os.path.ismount(os.path.join(dir, d))]
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for file in files:
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if fnmatch.fnmatch(file, "*.opt.yaml"):
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all.append(os.path.join(dir, file))
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return all
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