Remove telemetry/third_party/gsutilz

tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer1.py

Index: tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer1.py
diff --git a/tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer1.py b/tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer1.py
deleted file mode 100644
index d51c0f6bd18dca2aec4b500327520d8eb7e78c5f..0000000000000000000000000000000000000000
--- a/tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer1.py
+++ /dev/null
@@ -1,266 +0,0 @@
-# Copyright (c) 2012 Mitch Garnaat http://garnaat.org/
-# 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.
-
-"""
-Tests for Layer1 of DynamoDB
-"""
-import time
-import base64
-
-from tests.unit import unittest
-from boto.dynamodb.exceptions import DynamoDBKeyNotFoundError
-from boto.dynamodb.exceptions import DynamoDBConditionalCheckFailedError
-from boto.dynamodb.exceptions import DynamoDBValidationError
-from boto.dynamodb.layer1 import Layer1
-
-
-class DynamoDBLayer1Test(unittest.TestCase):
-    dynamodb = True
-
-    def setUp(self):
-        self.dynamodb = Layer1()
-        self.table_name = 'test-%d' % int(time.time())
-        self.hash_key_name = 'forum_name'
-        self.hash_key_type = 'S'
-        self.range_key_name = 'subject'
-        self.range_key_type = 'S'
-        self.read_units = 5
-        self.write_units = 5
-        self.schema = {'HashKeyElement': {'AttributeName': self.hash_key_name,
-                                          'AttributeType': self.hash_key_type},
-                       'RangeKeyElement': {'AttributeName': self.range_key_name,
-                                           'AttributeType': self.range_key_type}}
-        self.provisioned_throughput = {'ReadCapacityUnits': self.read_units,
-                                       'WriteCapacityUnits': self.write_units}
-
-    def tearDown(self):
-        pass
-
-    def create_table(self, table_name, schema, provisioned_throughput):
-        result = self.dynamodb.create_table(table_name, schema, provisioned_throughput)
-        self.addCleanup(self.dynamodb.delete_table, table_name)
-        return result
-
-    def test_layer1_basic(self):
-        print('--- running DynamoDB Layer1 tests ---')
-
-        c = self.dynamodb
-
-        # First create a table
-        table_name = self.table_name
-        hash_key_name = self.hash_key_name
-        hash_key_type = self.hash_key_type
-        range_key_name = self.range_key_name
-        range_key_type = self.range_key_type
-        read_units = self.read_units
-        write_units = self.write_units
-        schema = self.schema
-        provisioned_throughput = self.provisioned_throughput
-
-        result = self.create_table(table_name, schema, provisioned_throughput)
-        assert result['TableDescription']['TableName'] == table_name
-        result_schema = result['TableDescription']['KeySchema']
-        assert result_schema['HashKeyElement']['AttributeName'] == hash_key_name
-        assert result_schema['HashKeyElement']['AttributeType'] == hash_key_type
-        assert result_schema['RangeKeyElement']['AttributeName'] == range_key_name
-        assert result_schema['RangeKeyElement']['AttributeType'] == range_key_type
-        result_thruput = result['TableDescription']['ProvisionedThroughput']
-        assert result_thruput['ReadCapacityUnits'] == read_units
-        assert result_thruput['WriteCapacityUnits'] == write_units
-
-        # Wait for table to become active
-        result = c.describe_table(table_name)
-        while result['Table']['TableStatus'] != 'ACTIVE':
-            time.sleep(5)
-            result = c.describe_table(table_name)
-
-        # List tables and make sure new one is there
-        result = c.list_tables()
-        assert table_name in result['TableNames']
-
-        # Update the tables ProvisionedThroughput
-        new_read_units = 10
-        new_write_units = 5
-        new_provisioned_throughput = {'ReadCapacityUnits': new_read_units,
-                                      'WriteCapacityUnits': new_write_units}
-        result = c.update_table(table_name, new_provisioned_throughput)
-
-        # Wait for table to be updated
-        result = c.describe_table(table_name)
-        while result['Table']['TableStatus'] == 'UPDATING':
-            time.sleep(5)
-            result = c.describe_table(table_name)
-
-        result_thruput = result['Table']['ProvisionedThroughput']
-        assert result_thruput['ReadCapacityUnits'] == new_read_units
-        assert result_thruput['WriteCapacityUnits'] == new_write_units
-
-        # Put an item
-        item1_key = 'Amazon DynamoDB'
-        item1_range = 'DynamoDB Thread 1'
-        item1_data = {
-            hash_key_name: {hash_key_type: item1_key},
-            range_key_name: {range_key_type: item1_range},
-            'Message': {'S': 'DynamoDB thread 1 message text'},
-            'LastPostedBy': {'S': 'User A'},
-            'Views': {'N': '0'},
-            'Replies': {'N': '0'},
-            'Answered': {'N': '0'},
-            'Tags': {'SS': ["index", "primarykey", "table"]},
-            'LastPostDateTime': {'S': '12/9/2011 11:36:03 PM'}
-        }
-        result = c.put_item(table_name, item1_data)
-
-        # Now do a consistent read and check results
-        key1 = {'HashKeyElement': {hash_key_type: item1_key},
-                'RangeKeyElement': {range_key_type: item1_range}}
-        result = c.get_item(table_name, key=key1, consistent_read=True)
-        for name in item1_data:
-            assert name in result['Item']
-
-        # Try to get an item that does not exist.
-        invalid_key = {'HashKeyElement': {hash_key_type: 'bogus_key'},
-                       'RangeKeyElement': {range_key_type: item1_range}}
-        self.assertRaises(DynamoDBKeyNotFoundError,
-                          c.get_item, table_name, key=invalid_key)
-
-        # Try retrieving only select attributes
-        attributes = ['Message', 'Views']
-        result = c.get_item(table_name, key=key1, consistent_read=True,
-                            attributes_to_get=attributes)
-        for name in result['Item']:
-            assert name in attributes
-
-        # Try to delete the item with the wrong Expected value
-        expected = {'Views': {'Value': {'N': '1'}}}
-        self.assertRaises(DynamoDBConditionalCheckFailedError,
-                          c.delete_item, table_name, key=key1,
-                          expected=expected)
-
-        # Now update the existing object
-        attribute_updates = {'Views': {'Value': {'N': '5'},
-                                       'Action': 'PUT'},
-                             'Tags': {'Value': {'SS': ['foobar']},
-                                      'Action': 'ADD'}}
-        result = c.update_item(table_name, key=key1,
-                               attribute_updates=attribute_updates)
-
-        # Try and update an item, in a fashion which makes it too large.
-        # The new message text is the item size limit minus 32 bytes and
-        # the current object is larger than 32 bytes.
-        item_size_overflow_text = 'Text to be padded'.zfill(64 * 1024 - 32)
-        attribute_updates = {'Message': {'Value': {'S': item_size_overflow_text},
-                                         'Action': 'PUT'}}
-        self.assertRaises(DynamoDBValidationError,
-                          c.update_item, table_name, key=key1,
-                          attribute_updates=attribute_updates)
-
-
-        # Put a few more items into the table
-        item2_key = 'Amazon DynamoDB'
-        item2_range = 'DynamoDB Thread 2'
-        item2_data = {
-            hash_key_name: {hash_key_type: item2_key},
-            range_key_name: {range_key_type: item2_range},
-            'Message': {'S': 'DynamoDB thread 2 message text'},
-            'LastPostedBy': {'S': 'User A'},
-            'Views': {'N': '0'},
-            'Replies': {'N': '0'},
-            'Answered': {'N': '0'},
-            'Tags': {'SS': ["index", "primarykey", "table"]},
-            'LastPostDateTime': {'S': '12/9/2011 11:36:03 PM'}
-        }
-        result = c.put_item(table_name, item2_data)
-        key2 = {'HashKeyElement': {hash_key_type: item2_key},
-                'RangeKeyElement': {range_key_type: item2_range}}
-
-        item3_key = 'Amazon S3'
-        item3_range = 'S3 Thread 1'
-        item3_data = {
-            hash_key_name: {hash_key_type: item3_key},
-            range_key_name: {range_key_type: item3_range},
-            'Message': {'S': 'S3 Thread 1 message text'},
-            'LastPostedBy': {'S': 'User A'},
-            'Views': {'N': '0'},
-            'Replies': {'N': '0'},
-            'Answered': {'N': '0'},
-            'Tags': {'SS': ['largeobject', 'multipart upload']},
-            'LastPostDateTime': {'S': '12/9/2011 11:36:03 PM'}
-        }
-        result = c.put_item(table_name, item3_data)
-        key3 = {'HashKeyElement': {hash_key_type: item3_key},
-                'RangeKeyElement': {range_key_type: item3_range}}
-
-        # Try a few queries
-        result = c.query(table_name, {'S': 'Amazon DynamoDB'},
-                         {'AttributeValueList': [{'S': 'DynamoDB'}],
-                          'ComparisonOperator': 'BEGINS_WITH'})
-        assert 'Count' in result
-        assert result['Count'] == 2
-
-        # Try a few scans
-        result = c.scan(table_name,
-                        {'Tags': {'AttributeValueList': [{'S': 'table'}],
-                                  'ComparisonOperator': 'CONTAINS'}})
-        assert 'Count' in result
-        assert result['Count'] == 2
-
-        # Now delete the items
-        result = c.delete_item(table_name, key=key1)
-        result = c.delete_item(table_name, key=key2)
-        result = c.delete_item(table_name, key=key3)
-
-        print('--- tests completed ---')
-
-    def test_binary_attributes(self):
-        c = self.dynamodb
-        result = self.create_table(self.table_name, self.schema,
-                                   self.provisioned_throughput)
-        # Wait for table to become active
-        result = c.describe_table(self.table_name)
-        while result['Table']['TableStatus'] != 'ACTIVE':
-            time.sleep(5)
-            result = c.describe_table(self.table_name)
-
-        # Put an item
-        item1_key = 'Amazon DynamoDB'
-        item1_range = 'DynamoDB Thread 1'
-        item1_data = {
-            self.hash_key_name: {self.hash_key_type: item1_key},
-            self.range_key_name: {self.range_key_type: item1_range},
-            'Message': {'S': 'DynamoDB thread 1 message text'},
-            'LastPostedBy': {'S': 'User A'},
-            'Views': {'N': '0'},
-            'Replies': {'N': '0'},
-            'BinaryData': {'B': base64.b64encode(b'\x01\x02\x03\x04').decode('utf-8')},
-            'Answered': {'N': '0'},
-            'Tags': {'SS': ["index", "primarykey", "table"]},
-            'LastPostDateTime': {'S': '12/9/2011 11:36:03 PM'}
-        }
-        result = c.put_item(self.table_name, item1_data)
-
-        # Now do a consistent read and check results
-        key1 = {'HashKeyElement': {self.hash_key_type: item1_key},
-                'RangeKeyElement': {self.range_key_type: item1_range}}
-        result = c.get_item(self.table_name, key=key1, consistent_read=True)
-        self.assertEqual(result['Item']['BinaryData'],
-                         {'B': base64.b64encode(b'\x01\x02\x03\x04').decode('utf-8')})