Revert "Add gsutil 4.13 to telemetry/third_party"

tools/telemetry/third_party/gsutil/third_party/boto/tests/unit/machinelearning/test_machinelearning.py

Index: tools/telemetry/third_party/gsutil/third_party/boto/tests/unit/machinelearning/test_machinelearning.py
diff --git a/tools/telemetry/third_party/gsutil/third_party/boto/tests/unit/machinelearning/test_machinelearning.py b/tools/telemetry/third_party/gsutil/third_party/boto/tests/unit/machinelearning/test_machinelearning.py
deleted file mode 100644
index 6a4d97c09c2f3a5d6e02eb8b231e9aee330a4e56..0000000000000000000000000000000000000000
--- a/tools/telemetry/third_party/gsutil/third_party/boto/tests/unit/machinelearning/test_machinelearning.py
+++ /dev/null
@@ -1,45 +0,0 @@
-# Copyright (c) 2015 Amazon.com, Inc. or its affiliates.  All Rights Reserved
-#
-# 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.
-#
-
-from boto.compat import json
-from boto.machinelearning.layer1 import MachineLearningConnection
-from tests.unit import AWSMockServiceTestCase
-
-
-class TestMachineLearning(AWSMockServiceTestCase):
-    connection_class = MachineLearningConnection
-
-    def test_predict(self):
-        ml_endpoint = 'mymlmodel.amazonaws.com'
-        self.set_http_response(status_code=200, body=b'')
-        self.service_connection.predict(
-            ml_model_id='foo', record={'Foo': 'bar'},
-            predict_endpoint=ml_endpoint)
-        self.assertEqual(self.actual_request.host, ml_endpoint)
-
-    def test_predict_with_scheme_in_endpoint(self):
-        ml_endpoint = 'mymlmodel.amazonaws.com'
-        self.set_http_response(status_code=200, body=b'')
-        self.service_connection.predict(
-            ml_model_id='foo', record={'Foo': 'bar'},
-            predict_endpoint='https://' + ml_endpoint)
-        self.assertEqual(self.actual_request.host, ml_endpoint)