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229 lines
7.4 KiB
229 lines
7.4 KiB
# Copyright (c) 2015 - present Facebook, Inc.
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# All rights reserved.
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#
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# This source code is licensed under the BSD style license found in the
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# LICENSE file in the root directory of this source tree. An additional grant
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# of patent rights can be found in the PATENTS file in the same directory.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import codecs
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import csv
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import json
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import os
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import shutil
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import sys
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import tempfile
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import xml.etree.ElementTree as ET
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from . import config, utils
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# Increase the limit of the CSV parser to sys.maxlimit
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csv.field_size_limit(sys.maxsize)
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ISSUE_KIND_ERROR = 'ERROR'
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ISSUE_KIND_WARNING = 'WARNING'
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ISSUE_KIND_INFO = 'INFO'
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ISSUE_TYPES = [
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'ASSERTION_FAILURE',
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'BAD_POINTER_COMPARISON',
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# 'CHECKERS_PRINTF_ARGS'
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# TODO (#8030397): revert this once all the checkers are moved to Infer
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'CONTEXT_LEAK',
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'MEMORY_LEAK',
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'RESOURCE_LEAK',
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'RETAIN_CYCLE',
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'STRONG_DELEGATE_WARNING',
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'TAINTED_VALUE_REACHING_SENSITIVE_FUNCTION',
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'IVAR_NOT_NULL_CHECKED',
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'NULL_DEREFERENCE',
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'PARAMETER_NOT_NULL_CHECKED',
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'PREMATURE_NIL_TERMINATION_ARGUMENT',
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]
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NULL_STYLE_ISSUE_TYPES = [
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'IVAR_NOT_NULL_CHECKED',
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'NULL_DEREFERENCE',
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'PARAMETER_NOT_NULL_CHECKED',
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'PREMATURE_NIL_TERMINATION_ARGUMENT',
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]
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def clean_csv(args, csv_report):
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collected_rows = []
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with open(csv_report, 'r') as file_in:
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reader = csv.reader(file_in)
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rows = [row for row in reader]
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if len(rows) <= 1:
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return rows
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else:
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for row in rows[1:]:
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filename = row[utils.CSV_INDEX_FILENAME]
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if os.path.isfile(filename):
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if args.no_filtering \
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or _should_report_csv(args.analyzer, row):
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collected_rows.append(row)
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collected_rows = sorted(
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collected_rows,
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cmp=_compare_csv_rows)
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collected_rows = [rows[0]] + collected_rows
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temporary_file = tempfile.mktemp()
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with open(temporary_file, 'w') as file_out:
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writer = csv.writer(file_out)
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writer.writerows(collected_rows)
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file_out.flush()
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shutil.move(temporary_file, csv_report)
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def clean_json(args, json_report):
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collected_rows = []
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with open(json_report, 'r') as file_in:
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rows = json.load(file_in)
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for row in rows:
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filename = row[utils.JSON_INDEX_FILENAME]
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if os.path.isfile(filename):
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if args.no_filtering \
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or _should_report_json(args.analyzer, row):
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collected_rows.append(row)
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collected_rows = sorted(
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collected_rows,
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cmp=_compare_json_rows)
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temporary_file = tempfile.mktemp()
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with open(temporary_file, 'w') as file_out:
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json.dump(collected_rows, file_out)
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file_out.flush()
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shutil.move(temporary_file, json_report)
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def print_errors(json_report, bugs_out):
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with codecs.open(json_report, 'r', encoding=utils.LOCALE) as file_in:
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errors = json.load(file_in)
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errors = filter(lambda row: row[utils.JSON_INDEX_KIND] in
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[ISSUE_KIND_ERROR, ISSUE_KIND_WARNING],
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errors)
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with codecs.open(bugs_out, 'w', encoding=utils.LOCALE) as file_out:
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text_errors_list = []
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for row in errors:
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filename = row[utils.JSON_INDEX_FILENAME]
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if os.path.isfile(filename):
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kind = row[utils.JSON_INDEX_KIND]
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line = row[utils.JSON_INDEX_LINE]
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error_type = row[utils.JSON_INDEX_TYPE]
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msg = row[utils.JSON_INDEX_QUALIFIER]
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indenter = utils.Indenter()
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indenter.indent_push()
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indenter.add(
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utils.build_source_context(filename,
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utils.TERMINAL_FORMATTER,
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int(line)))
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source_context = unicode(indenter)
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text_errors_list.append(
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u'{0}:{1}: {2}: {3}\n {4}\n{5}'.format(
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filename,
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line,
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kind.lower(),
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error_type,
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msg,
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source_context,
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)
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)
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n_issues = len(text_errors_list)
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if n_issues == 0:
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_print_and_write(file_out, 'No issues found')
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else:
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msg = '\nFound %s\n' % utils.get_plural('issue', n_issues)
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_print_and_write(file_out, msg)
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text_errors = '\n\n'.join(text_errors_list)
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_print_and_write(file_out, text_errors)
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def _compare_issues(filename_1, line_1, filename_2, line_2):
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if filename_1 < filename_2:
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return -1
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elif filename_1 > filename_2:
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return 1
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else:
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return line_1 - line_2
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def _compare_csv_rows(row_1, row_2):
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filename_1 = row_1[utils.CSV_INDEX_FILENAME]
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filename_2 = row_2[utils.CSV_INDEX_FILENAME]
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line_1 = int(row_1[utils.CSV_INDEX_LINE])
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line_2 = int(row_2[utils.CSV_INDEX_LINE])
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return _compare_issues(filename_1, line_1, filename_2, line_2)
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def _compare_json_rows(row_1, row_2):
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filename_1 = row_1[utils.JSON_INDEX_FILENAME]
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filename_2 = row_2[utils.JSON_INDEX_FILENAME]
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line_1 = row_1[utils.JSON_INDEX_LINE]
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line_2 = row_2[utils.JSON_INDEX_LINE]
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return _compare_issues(filename_1, line_1, filename_2, line_2)
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def _should_report(analyzer, error_kind, error_type, error_bucket):
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analyzers_whitelist = [
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config.ANALYZER_ERADICATE,
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config.ANALYZER_CHECKERS,
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config.ANALYZER_TRACING,
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]
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error_kinds = [ISSUE_KIND_ERROR, ISSUE_KIND_WARNING]
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null_style_buckets = ['B1', 'B2']
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if analyzer in analyzers_whitelist:
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return True
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if error_kind not in error_kinds:
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return False
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if not error_type:
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return False
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if error_type in NULL_STYLE_ISSUE_TYPES:
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return error_bucket in null_style_buckets
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return error_type in ISSUE_TYPES
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def _should_report_csv(analyzer, row):
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error_kind = row[utils.CSV_INDEX_KIND]
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error_type = row[utils.CSV_INDEX_TYPE]
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error_bucket = '' # can be updated later once we extract it from qualifier
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try:
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qualifier_xml = ET.fromstring(row[utils.CSV_INDEX_QUALIFIER_TAGS])
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if qualifier_xml.tag == utils.QUALIFIER_TAGS:
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bucket = qualifier_xml.find(utils.BUCKET_TAGS)
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if bucket is not None:
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error_bucket = bucket.text
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except ET.ParseError:
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pass # this will skip any invalid xmls
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return _should_report(analyzer, error_kind, error_type, error_bucket)
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def _should_report_json(analyzer, row):
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error_kind = row[utils.JSON_INDEX_KIND]
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error_type = row[utils.JSON_INDEX_TYPE]
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error_bucket = '' # can be updated later once we extract it from qualifier
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for qual_tag in row[utils.QUALIFIER_TAGS]:
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if qual_tag['tag'] == utils.BUCKET_TAGS:
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error_bucket = qual_tag['value']
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break
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return _should_report(analyzer, error_kind, error_type, error_bucket)
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def _print_and_write(file_out, message):
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print(message)
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file_out.write(message + '\n')
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