auto import from //depot/cupcake/@135843

1 files changed, 0 insertions, 201 deletions

diff --git a/WebKitTools/CodeCoverage/cov.py b/WebKitTools/CodeCoverage/cov.py
deleted file mode 100644
index 443e601..0000000
--- a/WebKitTools/CodeCoverage/cov.py
+++ /dev/null
@@ -1,201 +0,0 @@
-# Copyright (C) 2004, 2005, 2006 Nathaniel Smith
-# Copyright (C) 2006, 2007 Holger Hans Peter Freyther
-#
-# Redistribution and use in source and binary forms, with or without
-# modification, are permitted provided that the following conditions
-# are met:
-#
-# 1.  Redistributions of source code must retain the above copyright
-#     notice, this list of conditions and the following disclaimer. 
-# 2.  Redistributions in binary form must reproduce the above copyright
-#     notice, this list of conditions and the following disclaimer in the
-#     documentation and/or other materials provided with the distribution. 
-# 3.  Neither the name of Apple Computer, Inc. ("Apple") nor the names of
-#     its contributors may be used to endorse or promote products derived
-#     from this software without specific prior written permission. 
-#
-# THIS SOFTWARE IS PROVIDED BY APPLE AND ITS CONTRIBUTORS "AS IS" AND ANY
-# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
-# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-# DISCLAIMED. IN NO EVENT SHALL APPLE OR ITS CONTRIBUTORS BE LIABLE FOR ANY
-# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
-# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
-# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
-# THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-import csv
-import time
-import os.path
-import shutil
-
-def analyze_coverage(possible_gcov_files, source_files, runid, data_dir, base):
-
-    if not os.path.exists(data_dir):
-        os.makedirs(data_dir)
-
-    output = open(os.path.join(data_dir, runid + ".csv"), "w")
-    w = csv.writer(output)
-    # First row: id and time
-    w.writerow([runid, time.time()])
-
-    results = scan_gcov_files(possible_gcov_files, source_files)
-    annotated_dir = os.path.join(data_dir, runid + ".annotated")
-    if os.path.exists(annotated_dir):
-        shutil.rmtree(annotated_dir)
-
-    keys = results.keys()
-    keys.sort()
-    for path in keys:
-        (total, covered, annotated_data) = results[path]
-        path = path[path.find(base)+len(base):]
-        # Rest of the rows: filename, total_lines, covered_lines
-        w.writerow([path, total, covered])
-
-        if path[:1] == "/":
-            path = path[1:]
-        annotated_path = os.path.join(annotated_dir, path)
-        try:
-            os.makedirs(os.path.dirname(annotated_path))
-        except OSError:
-            pass
-        a = open(annotated_path, "w")
-        a.write(annotated_data)
-        a.close()
-
-
-# zecke's rewrite
-STATE_NOT_CODE = -1
-STATE_NOT_SEEN = -2
-STATE_TEST_CODE = -3
-
-def find_gcov(f, possible_gcovs):
-    """
-    Find .gcov files that could be of interest for us
-    """
-    try:
-        return possible_gcovs[f]
-    except:
-        return []
-
-
-def parse_source_file(file):
-    """
-    Parse one source file and return a list of lines
-    """
-    f_source_list = []
-    init_state = STATE_NOT_SEEN
-    in_test_code = False
-    nesting = 0
-
-    for line in open(file, "r"):
-        code = line.split(":", 2)[-1]
-        if not in_test_code and code.startswith("#ifdef BUILD_UNIT_TESTS"):
-            in_test_code = 1
-        if in_test_code and code.startswith("#if"):
-            nesting += 1
-        if in_test_code and code.startswith("#endif"):
-            nesting -= 1
-            if not nesting:
-                in_test_code = True
-        if in_test_code:
-            init_state = STATE_TEST_CODE
-        else:
-            init_state = STATE_NOT_SEEN
-        f_source_list.append([init_state, line.split(":", 1)[1]])
-
-    return f_source_list
-
-# Runner-up, 3rd annual "write Python that looks like Perl" competition,
-# Well, not really.  It doesn't even use regexps.
-# He is right so I'm cleaning it up (zecke)
-def scan_gcov_files(possible_gcov_files, source_files):
-    """Takes a list of gcov filenames and a list of source filenames.
-
-    The gcov files should have names of the form foo.o##foo.cc.gcov, as
-    created by 'gcov -l'.
-
-    Returns a dict mapping source filenames to tuples
-      (total_lines, tested_lines, gcov_annotated_source)
-    which are a number, a number, and a very long string, respectively.
-
-    The fun bit is that we merge .gcov output generated by different object
-    files; this way we can provide accurate information for header files and
-    for monotone's current unit test system."""
-    results = {}
-    for f in source_files:
-        possible_gcovs = find_gcov(f, possible_gcov_files)
-        base_name = os.path.splitext(os.path.basename(f))[0]
-        if len(possible_gcovs) == 0:
-            print "No gcov files found for: '%s' but it was compiled" % f
-            continue
-
-            (garbage,extension) = os.path.splitext(f)
-            if extension  in [".cc", ".c", ".moc", ".cpp", ".cxx", ".m", ".mm"]:
-                lines = open(f, "r").readlines()
-                results[f] = (len(lines), 0, "".join(lines))
-            continue
-        elif len(possible_gcovs) > 1:
-            print "More than one gcov file for %s %d" % (f,len(possible_gcovs))
-        base_gcov_lines = parse_source_file(possible_gcovs[0])
-
-        # Now we will try hard to merge the results with others
-        # Our requirement is that we have the same amount of lines as
-        # as the original file
-        for cov_file in possible_gcovs:
-            lines = open(cov_file, "r").readlines()
-
-            # e.g. with phonon we have visualisation.h and we can not know
-            # which header file (foldername) it is refering to. This is a gcov
-            # limitation and i have no workaround yet. We just hope we will pick
-            # the right header file...
-            if len(lines) != len(base_gcov_lines):
-                print "Error Base: %s and Target: %s have different amount of lines" % (possible_gcovs[0],cov_file)
-                continue
-
-            # now do the merging of the file. If it has the same basename
-            # and the same number of lines things might work out
-            # In the future take a look at the header of the file
-            i = 0
-            for line in lines:
-                accumulator = base_gcov_lines[i]
-                if accumulator[0] != STATE_TEST_CODE:
-                    info = line.split(":", 1)[0]
-                    if info.endswith("-"):
-                        if accumulator[0] == STATE_NOT_SEEN:
-                            accumulator[0] = STATE_NOT_CODE
-                    else:
-                        if info.endswith("#"):
-                            num = 0
-                        else:
-                            num = int(info)
-                        if accumulator[0] in (STATE_NOT_SEEN, STATE_NOT_CODE):
-                            accumulator[0] = 0
-                        accumulator[0] += num
-                i += 1
-
-        # post processing of ths file
-        (total_lines, total_covered) = (0, 0)
-        annotated_lines = []
-        for state, line in base_gcov_lines:
-            if state == STATE_NOT_SEEN:
-                desc = "?????"
-            elif state == STATE_TEST_CODE:
-                desc = "+"
-            elif state == STATE_NOT_CODE:
-                desc = "-"
-            elif state == 0:
-                desc = "#####"
-                total_lines += 1
-            else:
-                desc = str(state)
-                total_lines += 1
-                total_covered += 1
-            annotated_lines.append(":".join([desc.rjust(9), line]))
-        results[f] = (total_lines, total_covered, "".join(annotated_lines))
-    return results
-
-
-
-    return results