mirror of
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290 lines
10 KiB
Python
290 lines
10 KiB
Python
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# Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0
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# For details: https://bitbucket.org/ned/coveragepy/src/default/NOTICE.txt
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"""Results of coverage measurement."""
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import collections
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from coverage.backward import iitems
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from coverage.misc import contract, format_lines, SimpleRepr
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class Analysis(object):
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"""The results of analyzing a FileReporter."""
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def __init__(self, data, file_reporter):
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self.data = data
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self.file_reporter = file_reporter
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self.filename = self.file_reporter.filename
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self.statements = self.file_reporter.lines()
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self.excluded = self.file_reporter.excluded_lines()
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# Identify missing statements.
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executed = self.data.lines(self.filename) or []
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executed = self.file_reporter.translate_lines(executed)
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self.missing = self.statements - executed
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if self.data.has_arcs():
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self._arc_possibilities = sorted(self.file_reporter.arcs())
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self.exit_counts = self.file_reporter.exit_counts()
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self.no_branch = self.file_reporter.no_branch_lines()
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n_branches = self.total_branches()
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mba = self.missing_branch_arcs()
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n_partial_branches = sum(len(v) for k,v in iitems(mba) if k not in self.missing)
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n_missing_branches = sum(len(v) for k,v in iitems(mba))
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else:
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self._arc_possibilities = []
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self.exit_counts = {}
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self.no_branch = set()
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n_branches = n_partial_branches = n_missing_branches = 0
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self.numbers = Numbers(
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n_files=1,
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n_statements=len(self.statements),
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n_excluded=len(self.excluded),
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n_missing=len(self.missing),
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n_branches=n_branches,
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n_partial_branches=n_partial_branches,
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n_missing_branches=n_missing_branches,
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)
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def missing_formatted(self):
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"""The missing line numbers, formatted nicely.
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Returns a string like "1-2, 5-11, 13-14".
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"""
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return format_lines(self.statements, self.missing)
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def has_arcs(self):
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"""Were arcs measured in this result?"""
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return self.data.has_arcs()
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def arc_possibilities(self):
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"""Returns a sorted list of the arcs in the code."""
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return self._arc_possibilities
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def arcs_executed(self):
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"""Returns a sorted list of the arcs actually executed in the code."""
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executed = self.data.arcs(self.filename) or []
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executed = self.file_reporter.translate_arcs(executed)
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return sorted(executed)
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def arcs_missing(self):
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"""Returns a sorted list of the arcs in the code not executed."""
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possible = self.arc_possibilities()
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executed = self.arcs_executed()
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missing = (
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p for p in possible
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if p not in executed
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and p[0] not in self.no_branch
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)
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return sorted(missing)
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def arcs_missing_formatted(self):
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"""The missing branch arcs, formatted nicely.
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Returns a string like "1->2, 1->3, 16->20". Omits any mention of
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branches from missing lines, so if line 17 is missing, then 17->18
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won't be included.
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"""
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arcs = self.missing_branch_arcs()
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missing = self.missing
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line_exits = sorted(iitems(arcs))
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pairs = []
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for line, exits in line_exits:
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for ex in sorted(exits):
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if line not in missing:
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pairs.append("%d->%s" % (line, (ex if ex > 0 else "exit")))
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return ', '.join(pairs)
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def arcs_unpredicted(self):
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"""Returns a sorted list of the executed arcs missing from the code."""
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possible = self.arc_possibilities()
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executed = self.arcs_executed()
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# Exclude arcs here which connect a line to itself. They can occur
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# in executed data in some cases. This is where they can cause
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# trouble, and here is where it's the least burden to remove them.
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# Also, generators can somehow cause arcs from "enter" to "exit", so
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# make sure we have at least one positive value.
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unpredicted = (
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e for e in executed
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if e not in possible
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and e[0] != e[1]
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and (e[0] > 0 or e[1] > 0)
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)
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return sorted(unpredicted)
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def branch_lines(self):
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"""Returns a list of line numbers that have more than one exit."""
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return [l1 for l1,count in iitems(self.exit_counts) if count > 1]
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def total_branches(self):
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"""How many total branches are there?"""
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return sum(count for count in self.exit_counts.values() if count > 1)
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def missing_branch_arcs(self):
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"""Return arcs that weren't executed from branch lines.
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Returns {l1:[l2a,l2b,...], ...}
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"""
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missing = self.arcs_missing()
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branch_lines = set(self.branch_lines())
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mba = collections.defaultdict(list)
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for l1, l2 in missing:
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if l1 in branch_lines:
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mba[l1].append(l2)
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return mba
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def branch_stats(self):
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"""Get stats about branches.
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Returns a dict mapping line numbers to a tuple:
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(total_exits, taken_exits).
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"""
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missing_arcs = self.missing_branch_arcs()
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stats = {}
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for lnum in self.branch_lines():
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exits = self.exit_counts[lnum]
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try:
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missing = len(missing_arcs[lnum])
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except KeyError:
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missing = 0
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stats[lnum] = (exits, exits - missing)
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return stats
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class Numbers(SimpleRepr):
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"""The numerical results of measuring coverage.
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This holds the basic statistics from `Analysis`, and is used to roll
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up statistics across files.
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"""
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# A global to determine the precision on coverage percentages, the number
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# of decimal places.
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_precision = 0
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_near0 = 1.0 # These will change when _precision is changed.
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_near100 = 99.0
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def __init__(self, n_files=0, n_statements=0, n_excluded=0, n_missing=0,
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n_branches=0, n_partial_branches=0, n_missing_branches=0
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):
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self.n_files = n_files
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self.n_statements = n_statements
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self.n_excluded = n_excluded
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self.n_missing = n_missing
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self.n_branches = n_branches
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self.n_partial_branches = n_partial_branches
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self.n_missing_branches = n_missing_branches
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def init_args(self):
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"""Return a list for __init__(*args) to recreate this object."""
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return [
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self.n_files, self.n_statements, self.n_excluded, self.n_missing,
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self.n_branches, self.n_partial_branches, self.n_missing_branches,
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]
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@classmethod
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def set_precision(cls, precision):
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"""Set the number of decimal places used to report percentages."""
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assert 0 <= precision < 10
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cls._precision = precision
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cls._near0 = 1.0 / 10**precision
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cls._near100 = 100.0 - cls._near0
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@property
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def n_executed(self):
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"""Returns the number of executed statements."""
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return self.n_statements - self.n_missing
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@property
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def n_executed_branches(self):
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"""Returns the number of executed branches."""
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return self.n_branches - self.n_missing_branches
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@property
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def pc_covered(self):
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"""Returns a single percentage value for coverage."""
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if self.n_statements > 0:
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numerator, denominator = self.ratio_covered
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pc_cov = (100.0 * numerator) / denominator
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else:
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pc_cov = 100.0
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return pc_cov
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@property
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def pc_covered_str(self):
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"""Returns the percent covered, as a string, without a percent sign.
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Note that "0" is only returned when the value is truly zero, and "100"
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is only returned when the value is truly 100. Rounding can never
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result in either "0" or "100".
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"""
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pc = self.pc_covered
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if 0 < pc < self._near0:
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pc = self._near0
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elif self._near100 < pc < 100:
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pc = self._near100
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else:
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pc = round(pc, self._precision)
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return "%.*f" % (self._precision, pc)
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@classmethod
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def pc_str_width(cls):
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"""How many characters wide can pc_covered_str be?"""
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width = 3 # "100"
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if cls._precision > 0:
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width += 1 + cls._precision
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return width
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@property
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def ratio_covered(self):
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"""Return a numerator and denominator for the coverage ratio."""
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numerator = self.n_executed + self.n_executed_branches
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denominator = self.n_statements + self.n_branches
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return numerator, denominator
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def __add__(self, other):
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nums = Numbers()
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nums.n_files = self.n_files + other.n_files
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nums.n_statements = self.n_statements + other.n_statements
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nums.n_excluded = self.n_excluded + other.n_excluded
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nums.n_missing = self.n_missing + other.n_missing
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nums.n_branches = self.n_branches + other.n_branches
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nums.n_partial_branches = (
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self.n_partial_branches + other.n_partial_branches
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)
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nums.n_missing_branches = (
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self.n_missing_branches + other.n_missing_branches
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)
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return nums
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def __radd__(self, other):
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# Implementing 0+Numbers allows us to sum() a list of Numbers.
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if other == 0:
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return self
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return NotImplemented
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@contract(total='number', fail_under='number', precision=int, returns=bool)
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def should_fail_under(total, fail_under, precision):
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"""Determine if a total should fail due to fail-under.
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`total` is a float, the coverage measurement total. `fail_under` is the
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fail_under setting to compare with. `precision` is the number of digits
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to consider after the decimal point.
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Returns True if the total should fail.
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"""
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# Special case for fail_under=100, it must really be 100.
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if fail_under == 100.0 and total != 100.0:
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return True
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return round(total, precision) < fail_under
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