--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/DebugClients/Python/coverage/data.py Mon Sep 19 22:47:52 2016 +0200
@@ -0,0 +1,768 @@
+# Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0
+# For details: https://bitbucket.org/ned/coveragepy/src/default/NOTICE.txt
+
+"""Coverage data for coverage.py."""
+
+import glob
+import itertools
+import json
+import optparse
+import os
+import os.path
+import random
+import re
+import socket
+
+from coverage import env
+from coverage.backward import iitems, string_class
+from coverage.debug import _TEST_NAME_FILE
+from coverage.files import PathAliases
+from coverage.misc import CoverageException, file_be_gone, isolate_module
+
+os = isolate_module(os)
+
+
+class CoverageData(object):
+ """Manages collected coverage data, including file storage.
+
+ This class is the public supported API to the data coverage.py collects
+ during program execution. It includes information about what code was
+ executed. It does not include information from the analysis phase, to
+ determine what lines could have been executed, or what lines were not
+ executed.
+
+ .. note::
+
+ The file format is not documented or guaranteed. It will change in
+ the future, in possibly complicated ways. Do not read coverage.py
+ data files directly. Use this API to avoid disruption.
+
+ There are a number of kinds of data that can be collected:
+
+ * **lines**: the line numbers of source lines that were executed.
+ These are always available.
+
+ * **arcs**: pairs of source and destination line numbers for transitions
+ between source lines. These are only available if branch coverage was
+ used.
+
+ * **file tracer names**: the module names of the file tracer plugins that
+ handled each file in the data.
+
+ * **run information**: information about the program execution. This is
+ written during "coverage run", and then accumulated during "coverage
+ combine".
+
+ Lines, arcs, and file tracer names are stored for each source file. File
+ names in this API are case-sensitive, even on platforms with
+ case-insensitive file systems.
+
+ To read a coverage.py data file, use :meth:`read_file`, or
+ :meth:`read_fileobj` if you have an already-opened file. You can then
+ access the line, arc, or file tracer data with :meth:`lines`, :meth:`arcs`,
+ or :meth:`file_tracer`. Run information is available with
+ :meth:`run_infos`.
+
+ The :meth:`has_arcs` method indicates whether arc data is available. You
+ can get a list of the files in the data with :meth:`measured_files`.
+ A summary of the line data is available from :meth:`line_counts`. As with
+ most Python containers, you can determine if there is any data at all by
+ using this object as a boolean value.
+
+
+ Most data files will be created by coverage.py itself, but you can use
+ methods here to create data files if you like. The :meth:`add_lines`,
+ :meth:`add_arcs`, and :meth:`add_file_tracers` methods add data, in ways
+ that are convenient for coverage.py. The :meth:`add_run_info` method adds
+ key-value pairs to the run information.
+
+ To add a file without any measured data, use :meth:`touch_file`.
+
+ You write to a named file with :meth:`write_file`, or to an already opened
+ file with :meth:`write_fileobj`.
+
+ You can clear the data in memory with :meth:`erase`. Two data collections
+ can be combined by using :meth:`update` on one :class:`CoverageData`,
+ passing it the other.
+
+ """
+
+ # The data file format is JSON, with these keys:
+ #
+ # * lines: a dict mapping file names to lists of line numbers
+ # executed::
+ #
+ # { "file1": [17,23,45], "file2": [1,2,3], ... }
+ #
+ # * arcs: a dict mapping file names to lists of line number pairs::
+ #
+ # { "file1": [[17,23], [17,25], [25,26]], ... }
+ #
+ # * file_tracers: a dict mapping file names to plugin names::
+ #
+ # { "file1": "django.coverage", ... }
+ #
+ # * runs: a list of dicts of information about the coverage.py runs
+ # contributing to the data::
+ #
+ # [ { "brief_sys": "CPython 2.7.10 Darwin" }, ... ]
+ #
+ # Only one of `lines` or `arcs` will be present: with branch coverage, data
+ # is stored as arcs. Without branch coverage, it is stored as lines. The
+ # line data is easily recovered from the arcs: it is all the first elements
+ # of the pairs that are greater than zero.
+
+ def __init__(self, debug=None):
+ """Create a CoverageData.
+
+ `debug` is a `DebugControl` object for writing debug messages.
+
+ """
+ self._debug = debug
+
+ # A map from canonical Python source file name to a dictionary in
+ # which there's an entry for each line number that has been
+ # executed:
+ #
+ # { 'filename1.py': [12, 47, 1001], ... }
+ #
+ self._lines = None
+
+ # A map from canonical Python source file name to a dictionary with an
+ # entry for each pair of line numbers forming an arc:
+ #
+ # { 'filename1.py': [(12,14), (47,48), ... ], ... }
+ #
+ self._arcs = None
+
+ # A map from canonical source file name to a plugin module name:
+ #
+ # { 'filename1.py': 'django.coverage', ... }
+ #
+ self._file_tracers = {}
+
+ # A list of dicts of information about the coverage.py runs.
+ self._runs = []
+
+ def __repr__(self):
+ return "<{klass} lines={lines} arcs={arcs} tracers={tracers} runs={runs}>".format(
+ klass=self.__class__.__name__,
+ lines="None" if self._lines is None else "{{{0}}}".format(len(self._lines)),
+ arcs="None" if self._arcs is None else "{{{0}}}".format(len(self._arcs)),
+ tracers="{{{0}}}".format(len(self._file_tracers)),
+ runs="[{0}]".format(len(self._runs)),
+ )
+
+ ##
+ ## Reading data
+ ##
+
+ def has_arcs(self):
+ """Does this data have arcs?
+
+ Arc data is only available if branch coverage was used during
+ collection.
+
+ Returns a boolean.
+
+ """
+ return self._has_arcs()
+
+ def lines(self, filename):
+ """Get the list of lines executed for a file.
+
+ If the file was not measured, returns None. A file might be measured,
+ and have no lines executed, in which case an empty list is returned.
+
+ If the file was executed, returns a list of integers, the line numbers
+ executed in the file. The list is in no particular order.
+
+ """
+ if self._arcs is not None:
+ arcs = self._arcs.get(filename)
+ if arcs is not None:
+ all_lines = itertools.chain.from_iterable(arcs)
+ return list(set(l for l in all_lines if l > 0))
+ elif self._lines is not None:
+ return self._lines.get(filename)
+ return None
+
+ def arcs(self, filename):
+ """Get the list of arcs executed for a file.
+
+ If the file was not measured, returns None. A file might be measured,
+ and have no arcs executed, in which case an empty list is returned.
+
+ If the file was executed, returns a list of 2-tuples of integers. Each
+ pair is a starting line number and an ending line number for a
+ transition from one line to another. The list is in no particular
+ order.
+
+ Negative numbers have special meaning. If the starting line number is
+ -N, it represents an entry to the code object that starts at line N.
+ If the ending ling number is -N, it's an exit from the code object that
+ starts at line N.
+
+ """
+ if self._arcs is not None:
+ if filename in self._arcs:
+ return self._arcs[filename]
+ return None
+
+ def file_tracer(self, filename):
+ """Get the plugin name of the file tracer for a file.
+
+ Returns the name of the plugin that handles this file. If the file was
+ measured, but didn't use a plugin, then "" is returned. If the file
+ was not measured, then None is returned.
+
+ """
+ # Because the vast majority of files involve no plugin, we don't store
+ # them explicitly in self._file_tracers. Check the measured data
+ # instead to see if it was a known file with no plugin.
+ if filename in (self._arcs or self._lines or {}):
+ return self._file_tracers.get(filename, "")
+ return None
+
+ def run_infos(self):
+ """Return the list of dicts of run information.
+
+ For data collected during a single run, this will be a one-element
+ list. If data has been combined, there will be one element for each
+ original data file.
+
+ """
+ return self._runs
+
+ def measured_files(self):
+ """A list of all files that had been measured."""
+ return list(self._arcs or self._lines or {})
+
+ def line_counts(self, fullpath=False):
+ """Return a dict summarizing the line coverage data.
+
+ Keys are based on the file names, and values are the number of executed
+ lines. If `fullpath` is true, then the keys are the full pathnames of
+ the files, otherwise they are the basenames of the files.
+
+ Returns a dict mapping file names to counts of lines.
+
+ """
+ summ = {}
+ if fullpath:
+ filename_fn = lambda f: f
+ else:
+ filename_fn = os.path.basename
+ for filename in self.measured_files():
+ summ[filename_fn(filename)] = len(self.lines(filename))
+ return summ
+
+ def __nonzero__(self):
+ return bool(self._lines or self._arcs)
+
+ __bool__ = __nonzero__
+
+ def read_fileobj(self, file_obj):
+ """Read the coverage data from the given file object.
+
+ Should only be used on an empty CoverageData object.
+
+ """
+ data = self._read_raw_data(file_obj)
+
+ self._lines = self._arcs = None
+
+ if 'lines' in data:
+ self._lines = data['lines']
+ if 'arcs' in data:
+ self._arcs = dict(
+ (fname, [tuple(pair) for pair in arcs])
+ for fname, arcs in iitems(data['arcs'])
+ )
+ self._file_tracers = data.get('file_tracers', {})
+ self._runs = data.get('runs', [])
+
+ self._validate()
+
+ def read_file(self, filename):
+ """Read the coverage data from `filename` into this object."""
+ if self._debug and self._debug.should('dataio'):
+ self._debug.write("Reading data from %r" % (filename,))
+ try:
+ with self._open_for_reading(filename) as f:
+ self.read_fileobj(f)
+ except Exception as exc:
+ raise CoverageException(
+ "Couldn't read data from '%s': %s: %s" % (
+ filename, exc.__class__.__name__, exc,
+ )
+ )
+
+ _GO_AWAY = "!coverage.py: This is a private format, don't read it directly!"
+
+ @classmethod
+ def _open_for_reading(cls, filename):
+ """Open a file appropriately for reading data."""
+ return open(filename, "r")
+
+ @classmethod
+ def _read_raw_data(cls, file_obj):
+ """Read the raw data from a file object."""
+ go_away = file_obj.read(len(cls._GO_AWAY))
+ if go_away != cls._GO_AWAY:
+ raise CoverageException("Doesn't seem to be a coverage.py data file")
+ return json.load(file_obj)
+
+ @classmethod
+ def _read_raw_data_file(cls, filename):
+ """Read the raw data from a file, for debugging."""
+ with cls._open_for_reading(filename) as f:
+ return cls._read_raw_data(f)
+
+ ##
+ ## Writing data
+ ##
+
+ def add_lines(self, line_data):
+ """Add measured line data.
+
+ `line_data` is a dictionary mapping file names to dictionaries::
+
+ { filename: { lineno: None, ... }, ...}
+
+ """
+ if self._debug and self._debug.should('dataop'):
+ self._debug.write("Adding lines: %d files, %d lines total" % (
+ len(line_data), sum(len(lines) for lines in line_data.values())
+ ))
+ if self._has_arcs():
+ raise CoverageException("Can't add lines to existing arc data")
+
+ if self._lines is None:
+ self._lines = {}
+ for filename, linenos in iitems(line_data):
+ if filename in self._lines:
+ new_linenos = set(self._lines[filename])
+ new_linenos.update(linenos)
+ linenos = new_linenos
+ self._lines[filename] = list(linenos)
+
+ self._validate()
+
+ def add_arcs(self, arc_data):
+ """Add measured arc data.
+
+ `arc_data` is a dictionary mapping file names to dictionaries::
+
+ { filename: { (l1,l2): None, ... }, ...}
+
+ """
+ if self._debug and self._debug.should('dataop'):
+ self._debug.write("Adding arcs: %d files, %d arcs total" % (
+ len(arc_data), sum(len(arcs) for arcs in arc_data.values())
+ ))
+ if self._has_lines():
+ raise CoverageException("Can't add arcs to existing line data")
+
+ if self._arcs is None:
+ self._arcs = {}
+ for filename, arcs in iitems(arc_data):
+ if filename in self._arcs:
+ new_arcs = set(self._arcs[filename])
+ new_arcs.update(arcs)
+ arcs = new_arcs
+ self._arcs[filename] = list(arcs)
+
+ self._validate()
+
+ def add_file_tracers(self, file_tracers):
+ """Add per-file plugin information.
+
+ `file_tracers` is { filename: plugin_name, ... }
+
+ """
+ if self._debug and self._debug.should('dataop'):
+ self._debug.write("Adding file tracers: %d files" % (len(file_tracers),))
+
+ existing_files = self._arcs or self._lines or {}
+ for filename, plugin_name in iitems(file_tracers):
+ if filename not in existing_files:
+ raise CoverageException(
+ "Can't add file tracer data for unmeasured file '%s'" % (filename,)
+ )
+ existing_plugin = self._file_tracers.get(filename)
+ if existing_plugin is not None and plugin_name != existing_plugin:
+ raise CoverageException(
+ "Conflicting file tracer name for '%s': %r vs %r" % (
+ filename, existing_plugin, plugin_name,
+ )
+ )
+ self._file_tracers[filename] = plugin_name
+
+ self._validate()
+
+ def add_run_info(self, **kwargs):
+ """Add information about the run.
+
+ Keywords are arbitrary, and are stored in the run dictionary. Values
+ must be JSON serializable. You may use this function more than once,
+ but repeated keywords overwrite each other.
+
+ """
+ if self._debug and self._debug.should('dataop'):
+ self._debug.write("Adding run info: %r" % (kwargs,))
+ if not self._runs:
+ self._runs = [{}]
+ self._runs[0].update(kwargs)
+ self._validate()
+
+ def touch_file(self, filename):
+ """Ensure that `filename` appears in the data, empty if needed."""
+ if self._debug and self._debug.should('dataop'):
+ self._debug.write("Touching %r" % (filename,))
+ if not self._has_arcs() and not self._has_lines():
+ raise CoverageException("Can't touch files in an empty CoverageData")
+
+ if self._has_arcs():
+ where = self._arcs
+ else:
+ where = self._lines
+ where.setdefault(filename, [])
+
+ self._validate()
+
+ def write_fileobj(self, file_obj):
+ """Write the coverage data to `file_obj`."""
+
+ # Create the file data.
+ file_data = {}
+
+ if self._has_arcs():
+ file_data['arcs'] = self._arcs
+
+ if self._has_lines():
+ file_data['lines'] = self._lines
+
+ if self._file_tracers:
+ file_data['file_tracers'] = self._file_tracers
+
+ if self._runs:
+ file_data['runs'] = self._runs
+
+ # Write the data to the file.
+ file_obj.write(self._GO_AWAY)
+ json.dump(file_data, file_obj)
+
+ def write_file(self, filename):
+ """Write the coverage data to `filename`."""
+ if self._debug and self._debug.should('dataio'):
+ self._debug.write("Writing data to %r" % (filename,))
+ with open(filename, 'w') as fdata:
+ self.write_fileobj(fdata)
+
+ def erase(self):
+ """Erase the data in this object."""
+ self._lines = None
+ self._arcs = None
+ self._file_tracers = {}
+ self._runs = []
+ self._validate()
+
+ def update(self, other_data, aliases=None):
+ """Update this data with data from another `CoverageData`.
+
+ If `aliases` is provided, it's a `PathAliases` object that is used to
+ re-map paths to match the local machine's.
+
+ """
+ if self._has_lines() and other_data._has_arcs():
+ raise CoverageException("Can't combine arc data with line data")
+ if self._has_arcs() and other_data._has_lines():
+ raise CoverageException("Can't combine line data with arc data")
+
+ aliases = aliases or PathAliases()
+
+ # _file_tracers: only have a string, so they have to agree.
+ # Have to do these first, so that our examination of self._arcs and
+ # self._lines won't be confused by data updated from other_data.
+ for filename in other_data.measured_files():
+ other_plugin = other_data.file_tracer(filename)
+ filename = aliases.map(filename)
+ this_plugin = self.file_tracer(filename)
+ if this_plugin is None:
+ if other_plugin:
+ self._file_tracers[filename] = other_plugin
+ elif this_plugin != other_plugin:
+ raise CoverageException(
+ "Conflicting file tracer name for '%s': %r vs %r" % (
+ filename, this_plugin, other_plugin,
+ )
+ )
+
+ # _runs: add the new runs to these runs.
+ self._runs.extend(other_data._runs)
+
+ # _lines: merge dicts.
+ if other_data._has_lines():
+ if self._lines is None:
+ self._lines = {}
+ for filename, file_lines in iitems(other_data._lines):
+ filename = aliases.map(filename)
+ if filename in self._lines:
+ lines = set(self._lines[filename])
+ lines.update(file_lines)
+ file_lines = list(lines)
+ self._lines[filename] = file_lines
+
+ # _arcs: merge dicts.
+ if other_data._has_arcs():
+ if self._arcs is None:
+ self._arcs = {}
+ for filename, file_arcs in iitems(other_data._arcs):
+ filename = aliases.map(filename)
+ if filename in self._arcs:
+ arcs = set(self._arcs[filename])
+ arcs.update(file_arcs)
+ file_arcs = list(arcs)
+ self._arcs[filename] = file_arcs
+
+ self._validate()
+
+ ##
+ ## Miscellaneous
+ ##
+
+ def _validate(self):
+ """If we are in paranoid mode, validate that everything is right."""
+ if env.TESTING:
+ self._validate_invariants()
+
+ def _validate_invariants(self):
+ """Validate internal invariants."""
+ # Only one of _lines or _arcs should exist.
+ assert not(self._has_lines() and self._has_arcs()), (
+ "Shouldn't have both _lines and _arcs"
+ )
+
+ # _lines should be a dict of lists of ints.
+ if self._has_lines():
+ for fname, lines in iitems(self._lines):
+ assert isinstance(fname, string_class), "Key in _lines shouldn't be %r" % (fname,)
+ assert all(isinstance(x, int) for x in lines), (
+ "_lines[%r] shouldn't be %r" % (fname, lines)
+ )
+
+ # _arcs should be a dict of lists of pairs of ints.
+ if self._has_arcs():
+ for fname, arcs in iitems(self._arcs):
+ assert isinstance(fname, string_class), "Key in _arcs shouldn't be %r" % (fname,)
+ assert all(isinstance(x, int) and isinstance(y, int) for x, y in arcs), (
+ "_arcs[%r] shouldn't be %r" % (fname, arcs)
+ )
+
+ # _file_tracers should have only non-empty strings as values.
+ for fname, plugin in iitems(self._file_tracers):
+ assert isinstance(fname, string_class), (
+ "Key in _file_tracers shouldn't be %r" % (fname,)
+ )
+ assert plugin and isinstance(plugin, string_class), (
+ "_file_tracers[%r] shoudn't be %r" % (fname, plugin)
+ )
+
+ # _runs should be a list of dicts.
+ for val in self._runs:
+ assert isinstance(val, dict)
+ for key in val:
+ assert isinstance(key, string_class), "Key in _runs shouldn't be %r" % (key,)
+
+ def add_to_hash(self, filename, hasher):
+ """Contribute `filename`'s data to the `hasher`.
+
+ `hasher` is a `coverage.misc.Hasher` instance to be updated with
+ the file's data. It should only get the results data, not the run
+ data.
+
+ """
+ if self._has_arcs():
+ hasher.update(sorted(self.arcs(filename) or []))
+ else:
+ hasher.update(sorted(self.lines(filename) or []))
+ hasher.update(self.file_tracer(filename))
+
+ ##
+ ## Internal
+ ##
+
+ def _has_lines(self):
+ """Do we have data in self._lines?"""
+ return self._lines is not None
+
+ def _has_arcs(self):
+ """Do we have data in self._arcs?"""
+ return self._arcs is not None
+
+
+class CoverageDataFiles(object):
+ """Manage the use of coverage data files."""
+
+ def __init__(self, basename=None, warn=None):
+ """Create a CoverageDataFiles to manage data files.
+
+ `warn` is the warning function to use.
+
+ `basename` is the name of the file to use for storing data.
+
+ """
+ self.warn = warn
+ # Construct the file name that will be used for data storage.
+ self.filename = os.path.abspath(basename or ".coverage")
+
+ def erase(self, parallel=False):
+ """Erase the data from the file storage.
+
+ If `parallel` is true, then also deletes data files created from the
+ basename by parallel-mode.
+
+ """
+ file_be_gone(self.filename)
+ if parallel:
+ data_dir, local = os.path.split(self.filename)
+ localdot = local + '.*'
+ pattern = os.path.join(os.path.abspath(data_dir), localdot)
+ for filename in glob.glob(pattern):
+ file_be_gone(filename)
+
+ def read(self, data):
+ """Read the coverage data."""
+ if os.path.exists(self.filename):
+ data.read_file(self.filename)
+
+ def write(self, data, suffix=None):
+ """Write the collected coverage data to a file.
+
+ `suffix` is a suffix to append to the base file name. This can be used
+ for multiple or parallel execution, so that many coverage data files
+ can exist simultaneously. A dot will be used to join the base name and
+ the suffix.
+
+ """
+ filename = self.filename
+ if suffix is True:
+ # If data_suffix was a simple true value, then make a suffix with
+ # plenty of distinguishing information. We do this here in
+ # `save()` at the last minute so that the pid will be correct even
+ # if the process forks.
+ extra = ""
+ if _TEST_NAME_FILE: # pragma: debugging
+ with open(_TEST_NAME_FILE) as f:
+ test_name = f.read()
+ extra = "." + test_name
+ suffix = "%s%s.%s.%06d" % (
+ socket.gethostname(), extra, os.getpid(),
+ random.randint(0, 999999)
+ )
+
+ if suffix:
+ filename += "." + suffix
+ data.write_file(filename)
+
+ def combine_parallel_data(self, data, aliases=None, data_paths=None):
+ """Combine a number of data files together.
+
+ Treat `self.filename` as a file prefix, and combine the data from all
+ of the data files starting with that prefix plus a dot.
+
+ If `aliases` is provided, it's a `PathAliases` object that is used to
+ re-map paths to match the local machine's.
+
+ If `data_paths` is provided, it is a list of directories or files to
+ combine. Directories are searched for files that start with
+ `self.filename` plus dot as a prefix, and those files are combined.
+
+ If `data_paths` is not provided, then the directory portion of
+ `self.filename` is used as the directory to search for data files.
+
+ Every data file found and combined is then deleted from disk. If a file
+ cannot be read, a warning will be issued, and the file will not be
+ deleted.
+
+ """
+ # Because of the os.path.abspath in the constructor, data_dir will
+ # never be an empty string.
+ data_dir, local = os.path.split(self.filename)
+ localdot = local + '.*'
+
+ data_paths = data_paths or [data_dir]
+ files_to_combine = []
+ for p in data_paths:
+ if os.path.isfile(p):
+ files_to_combine.append(os.path.abspath(p))
+ elif os.path.isdir(p):
+ pattern = os.path.join(os.path.abspath(p), localdot)
+ files_to_combine.extend(glob.glob(pattern))
+ else:
+ raise CoverageException("Couldn't combine from non-existent path '%s'" % (p,))
+
+ for f in files_to_combine:
+ new_data = CoverageData()
+ try:
+ new_data.read_file(f)
+ except CoverageException as exc:
+ if self.warn:
+ # The CoverageException has the file name in it, so just
+ # use the message as the warning.
+ self.warn(str(exc))
+ else:
+ data.update(new_data, aliases=aliases)
+ file_be_gone(f)
+
+
+def canonicalize_json_data(data):
+ """Canonicalize our JSON data so it can be compared."""
+ for fname, lines in iitems(data.get('lines', {})):
+ data['lines'][fname] = sorted(lines)
+ for fname, arcs in iitems(data.get('arcs', {})):
+ data['arcs'][fname] = sorted(arcs)
+
+
+def pretty_data(data):
+ """Format data as JSON, but as nicely as possible.
+
+ Returns a string.
+
+ """
+ # Start with a basic JSON dump.
+ out = json.dumps(data, indent=4, sort_keys=True)
+ # But pairs of numbers shouldn't be split across lines...
+ out = re.sub(r"\[\s+(-?\d+),\s+(-?\d+)\s+]", r"[\1, \2]", out)
+ # Trailing spaces mess with tests, get rid of them.
+ out = re.sub(r"(?m)\s+$", "", out)
+ return out
+
+
+def debug_main(args):
+ """Dump the raw data from data files.
+
+ Run this as::
+
+ $ python -m coverage.data [FILE]
+
+ """
+ parser = optparse.OptionParser()
+ parser.add_option(
+ "-c", "--canonical", action="store_true",
+ help="Sort data into a canonical order",
+ )
+ options, args = parser.parse_args(args)
+
+ for filename in (args or [".coverage"]):
+ print("--- {0} ------------------------------".format(filename))
+ data = CoverageData._read_raw_data_file(filename)
+ if options.canonical:
+ canonicalize_json_data(data)
+ print(pretty_data(data))
+
+
+if __name__ == '__main__':
+ import sys
+ debug_main(sys.argv[1:])
