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348 lines
10 KiB
Python
348 lines
10 KiB
Python
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""" Meager code path measurement tool.
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Ned Batchelder
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http://nedbatchelder.com/blog/200803/python_code_complexity_microtool.html
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MIT License.
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"""
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from __future__ import with_statement
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import optparse
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import sys
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import tokenize
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from collections import defaultdict
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try:
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import ast
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from ast import iter_child_nodes
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except ImportError: # Python 2.5
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from flake8.util import ast, iter_child_nodes
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__version__ = '0.6.1'
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class ASTVisitor(object):
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"""Performs a depth-first walk of the AST."""
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def __init__(self):
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self.node = None
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self._cache = {}
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def default(self, node, *args):
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for child in iter_child_nodes(node):
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self.dispatch(child, *args)
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def dispatch(self, node, *args):
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self.node = node
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klass = node.__class__
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meth = self._cache.get(klass)
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if meth is None:
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className = klass.__name__
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meth = getattr(self.visitor, 'visit' + className, self.default)
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self._cache[klass] = meth
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return meth(node, *args)
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def preorder(self, tree, visitor, *args):
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"""Do preorder walk of tree using visitor"""
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self.visitor = visitor
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visitor.visit = self.dispatch
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self.dispatch(tree, *args) # XXX *args make sense?
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class PathNode(object):
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def __init__(self, name, look="circle"):
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self.name = name
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self.look = look
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def to_dot(self):
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print('node [shape=%s,label="%s"] %d;' % (
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self.look, self.name, self.dot_id()))
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def dot_id(self):
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return id(self)
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class PathGraph(object):
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def __init__(self, name, entity, lineno, column=0):
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self.name = name
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self.entity = entity
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self.lineno = lineno
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self.column = column
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self.nodes = defaultdict(list)
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def connect(self, n1, n2):
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self.nodes[n1].append(n2)
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# Ensure that the destination node is always counted.
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self.nodes[n2] = []
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def to_dot(self):
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print('subgraph {')
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for node in self.nodes:
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node.to_dot()
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for node, nexts in self.nodes.items():
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for next in nexts:
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print('%s -- %s;' % (node.dot_id(), next.dot_id()))
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print('}')
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def complexity(self):
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""" Return the McCabe complexity for the graph.
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V-E+2
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"""
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num_edges = sum([len(n) for n in self.nodes.values()])
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num_nodes = len(self.nodes)
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return num_edges - num_nodes + 2
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class PathGraphingAstVisitor(ASTVisitor):
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""" A visitor for a parsed Abstract Syntax Tree which finds executable
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statements.
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"""
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def __init__(self):
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super(PathGraphingAstVisitor, self).__init__()
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self.classname = ""
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self.graphs = {}
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self.reset()
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def reset(self):
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self.graph = None
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self.tail = None
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def dispatch_list(self, node_list):
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for node in node_list:
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self.dispatch(node)
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def visitFunctionDef(self, node):
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if self.classname:
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entity = '%s%s' % (self.classname, node.name)
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else:
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entity = node.name
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name = '%d:%d: %r' % (node.lineno, node.col_offset, entity)
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if self.graph is not None:
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# closure
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pathnode = self.appendPathNode(name)
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self.tail = pathnode
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self.dispatch_list(node.body)
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bottom = PathNode("", look='point')
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self.graph.connect(self.tail, bottom)
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self.graph.connect(pathnode, bottom)
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self.tail = bottom
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else:
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self.graph = PathGraph(name, entity, node.lineno, node.col_offset)
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pathnode = PathNode(name)
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self.tail = pathnode
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self.dispatch_list(node.body)
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self.graphs["%s%s" % (self.classname, node.name)] = self.graph
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self.reset()
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visitAsyncFunctionDef = visitFunctionDef
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def visitClassDef(self, node):
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old_classname = self.classname
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self.classname += node.name + "."
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self.dispatch_list(node.body)
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self.classname = old_classname
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def appendPathNode(self, name):
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if not self.tail:
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return
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pathnode = PathNode(name)
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self.graph.connect(self.tail, pathnode)
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self.tail = pathnode
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return pathnode
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def visitSimpleStatement(self, node):
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if node.lineno is None:
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lineno = 0
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else:
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lineno = node.lineno
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name = "Stmt %d" % lineno
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self.appendPathNode(name)
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def default(self, node, *args):
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if isinstance(node, ast.stmt):
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self.visitSimpleStatement(node)
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else:
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super(PathGraphingAstVisitor, self).default(node, *args)
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def visitLoop(self, node):
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name = "Loop %d" % node.lineno
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self._subgraph(node, name)
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visitAsyncFor = visitFor = visitWhile = visitLoop
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def visitIf(self, node):
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name = "If %d" % node.lineno
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self._subgraph(node, name)
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def _subgraph(self, node, name, extra_blocks=()):
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"""create the subgraphs representing any `if` and `for` statements"""
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if self.graph is None:
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# global loop
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self.graph = PathGraph(name, name, node.lineno, node.col_offset)
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pathnode = PathNode(name)
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self._subgraph_parse(node, pathnode, extra_blocks)
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self.graphs["%s%s" % (self.classname, name)] = self.graph
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self.reset()
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else:
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pathnode = self.appendPathNode(name)
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self._subgraph_parse(node, pathnode, extra_blocks)
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def _subgraph_parse(self, node, pathnode, extra_blocks):
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"""parse the body and any `else` block of `if` and `for` statements"""
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loose_ends = []
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self.tail = pathnode
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self.dispatch_list(node.body)
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loose_ends.append(self.tail)
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for extra in extra_blocks:
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self.tail = pathnode
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self.dispatch_list(extra.body)
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loose_ends.append(self.tail)
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if node.orelse:
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self.tail = pathnode
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self.dispatch_list(node.orelse)
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loose_ends.append(self.tail)
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else:
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loose_ends.append(pathnode)
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if pathnode:
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bottom = PathNode("", look='point')
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for le in loose_ends:
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self.graph.connect(le, bottom)
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self.tail = bottom
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def visitTryExcept(self, node):
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name = "TryExcept %d" % node.lineno
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self._subgraph(node, name, extra_blocks=node.handlers)
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visitTry = visitTryExcept
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def visitWith(self, node):
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name = "With %d" % node.lineno
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self.appendPathNode(name)
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self.dispatch_list(node.body)
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visitAsyncWith = visitWith
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class McCabeChecker(object):
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"""McCabe cyclomatic complexity checker."""
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name = 'mccabe'
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version = __version__
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_code = 'C901'
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_error_tmpl = "C901 %r is too complex (%d)"
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max_complexity = -1
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def __init__(self, tree, filename):
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self.tree = tree
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@classmethod
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def add_options(cls, parser):
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flag = '--max-complexity'
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kwargs = {
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'default': -1,
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'action': 'store',
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'type': 'int',
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'help': 'McCabe complexity threshold',
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'parse_from_config': 'True',
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}
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config_opts = getattr(parser, 'config_options', None)
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if isinstance(config_opts, list):
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# Flake8 2.x
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kwargs.pop('parse_from_config')
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parser.add_option(flag, **kwargs)
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parser.config_options.append('max-complexity')
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else:
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parser.add_option(flag, **kwargs)
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@classmethod
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def parse_options(cls, options):
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cls.max_complexity = int(options.max_complexity)
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def run(self):
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if self.max_complexity < 0:
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return
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visitor = PathGraphingAstVisitor()
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visitor.preorder(self.tree, visitor)
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for graph in visitor.graphs.values():
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if graph.complexity() > self.max_complexity:
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text = self._error_tmpl % (graph.entity, graph.complexity())
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yield graph.lineno, graph.column, text, type(self)
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def get_code_complexity(code, threshold=7, filename='stdin'):
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try:
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tree = compile(code, filename, "exec", ast.PyCF_ONLY_AST)
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except SyntaxError:
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e = sys.exc_info()[1]
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sys.stderr.write("Unable to parse %s: %s\n" % (filename, e))
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return 0
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complx = []
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McCabeChecker.max_complexity = threshold
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for lineno, offset, text, check in McCabeChecker(tree, filename).run():
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complx.append('%s:%d:1: %s' % (filename, lineno, text))
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if len(complx) == 0:
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return 0
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print('\n'.join(complx))
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return len(complx)
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def get_module_complexity(module_path, threshold=7):
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"""Returns the complexity of a module"""
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with open(module_path, "rU") as mod:
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code = mod.read()
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return get_code_complexity(code, threshold, filename=module_path)
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def _read(filename):
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if (2, 5) < sys.version_info < (3, 0):
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with open(filename, 'rU') as f:
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return f.read()
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elif (3, 0) <= sys.version_info < (4, 0):
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"""Read the source code."""
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try:
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with open(filename, 'rb') as f:
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(encoding, _) = tokenize.detect_encoding(f.readline)
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except (LookupError, SyntaxError, UnicodeError):
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# Fall back if file encoding is improperly declared
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with open(filename, encoding='latin-1') as f:
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return f.read()
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with open(filename, 'r', encoding=encoding) as f:
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return f.read()
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def main(argv=None):
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if argv is None:
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argv = sys.argv[1:]
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opar = optparse.OptionParser()
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opar.add_option("-d", "--dot", dest="dot",
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help="output a graphviz dot file", action="store_true")
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opar.add_option("-m", "--min", dest="threshold",
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help="minimum complexity for output", type="int",
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default=1)
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options, args = opar.parse_args(argv)
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code = _read(args[0])
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tree = compile(code, args[0], "exec", ast.PyCF_ONLY_AST)
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visitor = PathGraphingAstVisitor()
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visitor.preorder(tree, visitor)
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if options.dot:
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print('graph {')
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for graph in visitor.graphs.values():
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if (not options.threshold or
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graph.complexity() >= options.threshold):
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graph.to_dot()
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print('}')
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else:
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for graph in visitor.graphs.values():
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if graph.complexity() >= options.threshold:
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print(graph.name, graph.complexity())
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if __name__ == '__main__':
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main(sys.argv[1:])
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