Revert "Add gsutil 4.13 to telemetry/third_party"

tools/telemetry/third_party/gsutil/third_party/boto/boto/services/result.py

Index: tools/telemetry/third_party/gsutil/third_party/boto/boto/services/result.py
diff --git a/tools/telemetry/third_party/gsutil/third_party/boto/boto/services/result.py b/tools/telemetry/third_party/gsutil/third_party/boto/boto/services/result.py
deleted file mode 100644
index 879934323ba2bf8167eebd07c54bb42b3e5950ab..0000000000000000000000000000000000000000
--- a/tools/telemetry/third_party/gsutil/third_party/boto/boto/services/result.py
+++ /dev/null
@@ -1,135 +0,0 @@
-#!/usr/bin/env python
-# Copyright (c) 2006,2007 Mitch Garnaat http://garnaat.org/
-#
-# Permission is hereby granted, free of charge, to any person obtaining a
-# copy of this software and associated documentation files (the
-# "Software"), to deal in the Software without restriction, including
-# without limitation the rights to use, copy, modify, merge, publish, dis-
-# tribute, sublicense, and/or sell copies of the Software, and to permit
-# persons to whom the Software is furnished to do so, subject to the fol-
-# lowing conditions:
-#
-# The above copyright notice and this permission notice shall be included
-# in all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
-# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
-# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
-# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
-# IN THE SOFTWARE.
-import os
-from datetime import datetime, timedelta
-from boto.utils import parse_ts
-import boto
-
-class ResultProcessor(object):
-
-    LogFileName = 'log.csv'
-
-    def __init__(self, batch_name, sd, mimetype_files=None):
-        self.sd = sd
-        self.batch = batch_name
-        self.log_fp = None
-        self.num_files = 0
-        self.total_time = 0
-        self.min_time = timedelta.max
-        self.max_time = timedelta.min
-        self.earliest_time = datetime.max
-        self.latest_time = datetime.min
-        self.queue = self.sd.get_obj('output_queue')
-        self.domain = self.sd.get_obj('output_domain')
-
-    def calculate_stats(self, msg):
-        start_time = parse_ts(msg['Service-Read'])
-        end_time = parse_ts(msg['Service-Write'])
-        elapsed_time = end_time - start_time
-        if elapsed_time > self.max_time:
-            self.max_time = elapsed_time
-        if elapsed_time < self.min_time:
-            self.min_time = elapsed_time
-        self.total_time += elapsed_time.seconds
-        if start_time < self.earliest_time:
-            self.earliest_time = start_time
-        if end_time > self.latest_time:
-            self.latest_time = end_time
-
-    def log_message(self, msg, path):
-        keys = sorted(msg.keys())
-        if not self.log_fp:
-            self.log_fp = open(os.path.join(path, self.LogFileName), 'a')
-            line = ','.join(keys)
-            self.log_fp.write(line+'\n')
-        values = []
-        for key in keys:
-            value = msg[key]
-            if value.find(',') > 0:
-                value = '"%s"' % value
-            values.append(value)
-        line = ','.join(values)
-        self.log_fp.write(line+'\n')
-
-    def process_record(self, record, path, get_file=True):
-        self.log_message(record, path)
-        self.calculate_stats(record)
-        outputs = record['OutputKey'].split(',')
-        if 'OutputBucket' in record:
-            bucket = boto.lookup('s3', record['OutputBucket'])
-        else:
-            bucket = boto.lookup('s3', record['Bucket'])
-        for output in outputs:
-            if get_file:
-                key_name = output.split(';')[0]
-                key = bucket.lookup(key_name)
-                file_name = os.path.join(path, key_name)
-                print('retrieving file: %s to %s' % (key_name, file_name))
-                key.get_contents_to_filename(file_name)
-            self.num_files += 1
-
-    def get_results_from_queue(self, path, get_file=True, delete_msg=True):
-        m = self.queue.read()
-        while m:
-            if 'Batch' in m and m['Batch'] == self.batch:
-                self.process_record(m, path, get_file)
-                if delete_msg:
-                    self.queue.delete_message(m)
-            m = self.queue.read()
-
-    def get_results_from_domain(self, path, get_file=True):
-        rs = self.domain.query("['Batch'='%s']" % self.batch)
-        for item in rs:
-            self.process_record(item, path, get_file)
-
-    def get_results_from_bucket(self, path):
-        bucket = self.sd.get_obj('output_bucket')
-        if bucket:
-            print('No output queue or domain, just retrieving files from output_bucket')
-            for key in bucket:
-                file_name = os.path.join(path, key)
-                print('retrieving file: %s to %s' % (key, file_name))
-                key.get_contents_to_filename(file_name)
-                self.num_files + 1
-
-    def get_results(self, path, get_file=True, delete_msg=True):
-        if not os.path.isdir(path):
-            os.mkdir(path)
-        if self.queue:
-            self.get_results_from_queue(path, get_file)
-        elif self.domain:
-            self.get_results_from_domain(path, get_file)
-        else:
-            self.get_results_from_bucket(path)
-        if self.log_fp:
-            self.log_fp.close()
-        print('%d results successfully retrieved.' % self.num_files)
-        if self.num_files > 0:
-            self.avg_time = float(self.total_time)/self.num_files
-            print('Minimum Processing Time: %d' % self.min_time.seconds)
-            print('Maximum Processing Time: %d' % self.max_time.seconds)
-            print('Average Processing Time: %f' % self.avg_time)
-            self.elapsed_time = self.latest_time-self.earliest_time
-            print('Elapsed Time: %d' % self.elapsed_time.seconds)
-            tput = 1.0 / ((self.elapsed_time.seconds/60.0) / self.num_files)
-            print('Throughput: %f transactions / minute' % tput)
-