Remove telemetry/third_party/gsutilz

tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer2.py

Index: tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer2.py
diff --git a/tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer2.py b/tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer2.py
deleted file mode 100644
index b56562a7151380788e226155c49f0343caff3baf..0000000000000000000000000000000000000000
--- a/tools/telemetry/third_party/gsutilz/third_party/boto/tests/integration/dynamodb/test_layer2.py
+++ /dev/null
@@ -1,496 +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 Layer2 of Amazon DynamoDB
-"""
-import time
-import uuid
-from decimal import Decimal
-
-from tests.unit import unittest
-from boto.dynamodb.exceptions import DynamoDBKeyNotFoundError
-from boto.dynamodb.exceptions import DynamoDBConditionalCheckFailedError
-from boto.dynamodb.layer2 import Layer2
-from boto.dynamodb.types import get_dynamodb_type, Binary
-from boto.dynamodb.condition import BEGINS_WITH, CONTAINS, GT
-from boto.compat import six, long_type
-
-
-class DynamoDBLayer2Test(unittest.TestCase):
-    dynamodb = True
-
-    def setUp(self):
-        self.dynamodb = Layer2()
-        self.hash_key_name = 'forum_name'
-        self.hash_key_proto_value = ''
-        self.range_key_name = 'subject'
-        self.range_key_proto_value = ''
-        self.table_name = 'sample_data_%s' % int(time.time())
-
-    def create_sample_table(self):
-        schema = self.dynamodb.create_schema(
-            self.hash_key_name, self.hash_key_proto_value,
-            self.range_key_name,
-            self.range_key_proto_value)
-        table = self.create_table(self.table_name, schema, 5, 5)
-        table.refresh(wait_for_active=True)
-        return table
-
-    def create_table(self, table_name, schema, read_units, write_units):
-        result = self.dynamodb.create_table(table_name, schema, read_units, write_units)
-        self.addCleanup(self.dynamodb.delete_table, result)
-        return result
-
-    def test_layer2_basic(self):
-        print('--- running Amazon DynamoDB Layer2 tests ---')
-        c = self.dynamodb
-
-        # First create a schema for the table
-        schema = c.create_schema(self.hash_key_name, self.hash_key_proto_value,
-                                 self.range_key_name,
-                                 self.range_key_proto_value)
-
-        # Create another schema without a range key
-        schema2 = c.create_schema('post_id', '')
-
-        # Now create a table
-        index = int(time.time())
-        table_name = 'test-%d' % index
-        read_units = 5
-        write_units = 5
-        table = self.create_table(table_name, schema, read_units, write_units)
-        assert table.name == table_name
-        assert table.schema.hash_key_name == self.hash_key_name
-        assert table.schema.hash_key_type == get_dynamodb_type(self.hash_key_proto_value)
-        assert table.schema.range_key_name == self.range_key_name
-        assert table.schema.range_key_type == get_dynamodb_type(self.range_key_proto_value)
-        assert table.read_units == read_units
-        assert table.write_units == write_units
-        assert table.item_count == 0
-        assert table.size_bytes == 0
-
-        # Create the second table
-        table2_name = 'test-%d' % (index + 1)
-        table2 = self.create_table(table2_name, schema2, read_units, write_units)
-
-        # Wait for table to become active
-        table.refresh(wait_for_active=True)
-        table2.refresh(wait_for_active=True)
-
-        # List tables and make sure new one is there
-        table_names = c.list_tables()
-        assert table_name in table_names
-        assert table2_name in table_names
-
-        # Update the tables ProvisionedThroughput
-        new_read_units = 10
-        new_write_units = 5
-        table.update_throughput(new_read_units, new_write_units)
-
-        # Wait for table to be updated
-        table.refresh(wait_for_active=True)
-        assert table.read_units == new_read_units
-        assert table.write_units == new_write_units
-
-        # Put an item
-        item1_key = 'Amazon DynamoDB'
-        item1_range = 'DynamoDB Thread 1'
-        item1_attrs = {
-            'Message': 'DynamoDB thread 1 message text',
-            'LastPostedBy': 'User A',
-            'Views': 0,
-            'Replies': 0,
-            'Answered': 0,
-            'Public': True,
-            'Tags': set(['index', 'primarykey', 'table']),
-            'LastPostDateTime': '12/9/2011 11:36:03 PM'}
-
-        # Test a few corner cases with new_item
-
-        # Try supplying a hash_key as an arg and as an item in attrs
-        item1_attrs[self.hash_key_name] = 'foo'
-        foobar_item = table.new_item(item1_key, item1_range, item1_attrs)
-        assert foobar_item.hash_key == item1_key
-
-        # Try supplying a range_key as an arg and as an item in attrs
-        item1_attrs[self.range_key_name] = 'bar'
-        foobar_item = table.new_item(item1_key, item1_range, item1_attrs)
-        assert foobar_item.range_key == item1_range
-
-        # Try supplying hash and range key in attrs dict
-        foobar_item = table.new_item(attrs=item1_attrs)
-        assert foobar_item.hash_key == 'foo'
-        assert foobar_item.range_key == 'bar'
-
-        del item1_attrs[self.hash_key_name]
-        del item1_attrs[self.range_key_name]
-
-        item1 = table.new_item(item1_key, item1_range, item1_attrs)
-        # make sure the put() succeeds
-        try:
-            item1.put()
-        except c.layer1.ResponseError as e:
-            raise Exception("Item put failed: %s" % e)
-
-        # Try to get an item that does not exist.
-        self.assertRaises(DynamoDBKeyNotFoundError,
-                          table.get_item, 'bogus_key', item1_range)
-
-        # Now do a consistent read and check results
-        item1_copy = table.get_item(item1_key, item1_range,
-                                    consistent_read=True)
-        assert item1_copy.hash_key == item1.hash_key
-        assert item1_copy.range_key == item1.range_key
-        for attr_name in item1_attrs:
-            val = item1_copy[attr_name]
-            if isinstance(val, (int, long_type, float, six.string_types)):
-                assert val == item1[attr_name]
-
-        # Try retrieving only select attributes
-        attributes = ['Message', 'Views']
-        item1_small = table.get_item(item1_key, item1_range,
-                                     attributes_to_get=attributes,
-                                     consistent_read=True)
-        for attr_name in item1_small:
-            # The item will include the attributes we asked for as
-            # well as the hashkey and rangekey, so filter those out.
-            if attr_name not in (item1_small.hash_key_name,
-                                 item1_small.range_key_name):
-                assert attr_name in attributes
-
-        self.assertTrue(table.has_item(item1_key, range_key=item1_range,
-                                       consistent_read=True))
-
-        # Try to delete the item with the wrong Expected value
-        expected = {'Views': 1}
-        self.assertRaises(DynamoDBConditionalCheckFailedError,
-                          item1.delete, expected_value=expected)
-
-        # Try to delete a value while expecting a non-existant attribute
-        expected = {'FooBar': True}
-        try:
-            item1.delete(expected_value=expected)
-        except c.layer1.ResponseError:
-            pass
-
-        # Now update the existing object
-        item1.add_attribute('Replies', 2)
-
-        removed_attr = 'Public'
-        item1.delete_attribute(removed_attr)
-
-        removed_tag = item1_attrs['Tags'].copy().pop()
-        item1.delete_attribute('Tags', set([removed_tag]))
-
-        replies_by_set = set(['Adam', 'Arnie'])
-        item1.put_attribute('RepliesBy', replies_by_set)
-        retvals = item1.save(return_values='ALL_OLD')
-        # Need more tests here for variations on return_values
-        assert 'Attributes' in retvals
-
-        # Check for correct updates
-        item1_updated = table.get_item(item1_key, item1_range,
-                                       consistent_read=True)
-        assert item1_updated['Replies'] == item1_attrs['Replies'] + 2
-        self.assertFalse(removed_attr in item1_updated)
-        self.assertTrue(removed_tag not in item1_updated['Tags'])
-        self.assertTrue('RepliesBy' in item1_updated)
-        self.assertTrue(item1_updated['RepliesBy'] == replies_by_set)
-
-        # Put a few more items into the table
-        item2_key = 'Amazon DynamoDB'
-        item2_range = 'DynamoDB Thread 2'
-        item2_attrs = {
-            'Message': 'DynamoDB thread 2 message text',
-            'LastPostedBy': 'User A',
-            'Views': 0,
-            'Replies': 0,
-            'Answered': 0,
-            'Tags': set(["index", "primarykey", "table"]),
-            'LastPost2DateTime': '12/9/2011 11:36:03 PM'}
-        item2 = table.new_item(item2_key, item2_range, item2_attrs)
-        item2.put()
-
-        item3_key = 'Amazon S3'
-        item3_range = 'S3 Thread 1'
-        item3_attrs = {
-            'Message': 'S3 Thread 1 message text',
-            'LastPostedBy': 'User A',
-            'Views': 0,
-            'Replies': 0,
-            'Answered': 0,
-            'Tags': set(['largeobject', 'multipart upload']),
-            'LastPostDateTime': '12/9/2011 11:36:03 PM'
-        }
-        item3 = table.new_item(item3_key, item3_range, item3_attrs)
-        item3.put()
-
-        # Put an item into the second table
-        table2_item1_key = uuid.uuid4().hex
-        table2_item1_attrs = {
-            'DateTimePosted': '25/1/2011 12:34:56 PM',
-            'Text': 'I think boto rocks and so does DynamoDB'
-        }
-        table2_item1 = table2.new_item(table2_item1_key,
-                                       attrs=table2_item1_attrs)
-        table2_item1.put()
-
-        # Try a few queries
-        items = table.query('Amazon DynamoDB', range_key_condition=BEGINS_WITH('DynamoDB'))
-        n = 0
-        for item in items:
-            n += 1
-        assert n == 2
-        assert items.consumed_units > 0
-
-        items = table.query('Amazon DynamoDB', range_key_condition=BEGINS_WITH('DynamoDB'),
-                            request_limit=1, max_results=1)
-        n = 0
-        for item in items:
-            n += 1
-        assert n == 1
-        assert items.consumed_units > 0
-
-        # Try a few scans
-        items = table.scan()
-        n = 0
-        for item in items:
-            n += 1
-        assert n == 3
-        assert items.consumed_units > 0
-
-        items = table.scan(scan_filter={'Replies': GT(0)})
-        n = 0
-        for item in items:
-            n += 1
-        assert n == 1
-        assert items.consumed_units > 0
-
-        # Test some integer and float attributes
-        integer_value = 42
-        float_value = 345.678
-        item3['IntAttr'] = integer_value
-        item3['FloatAttr'] = float_value
-
-        # Test booleans
-        item3['TrueBoolean'] = True
-        item3['FalseBoolean'] = False
-
-        # Test some set values
-        integer_set = set([1, 2, 3, 4, 5])
-        float_set = set([1.1, 2.2, 3.3, 4.4, 5.5])
-        mixed_set = set([1, 2, 3.3, 4, 5.555])
-        str_set = set(['foo', 'bar', 'fie', 'baz'])
-        item3['IntSetAttr'] = integer_set
-        item3['FloatSetAttr'] = float_set
-        item3['MixedSetAttr'] = mixed_set
-        item3['StrSetAttr'] = str_set
-        item3.put()
-
-        # Now do a consistent read
-        item4 = table.get_item(item3_key, item3_range, consistent_read=True)
-        assert item4['IntAttr'] == integer_value
-        assert item4['FloatAttr'] == float_value
-        assert bool(item4['TrueBoolean']) is True
-        assert bool(item4['FalseBoolean']) is False
-        # The values will not necessarily be in the same order as when
-        # we wrote them to the DB.
-        for i in item4['IntSetAttr']:
-            assert i in integer_set
-        for i in item4['FloatSetAttr']:
-            assert i in float_set
-        for i in item4['MixedSetAttr']:
-            assert i in mixed_set
-        for i in item4['StrSetAttr']:
-            assert i in str_set
-
-        # Try a batch get
-        batch_list = c.new_batch_list()
-        batch_list.add_batch(table, [(item2_key, item2_range),
-                                     (item3_key, item3_range)])
-        response = batch_list.submit()
-        assert len(response['Responses'][table.name]['Items']) == 2
-
-        # Try an empty batch get
-        batch_list = c.new_batch_list()
-        batch_list.add_batch(table, [])
-        response = batch_list.submit()
-        assert response == {}
-
-        # Try a few batch write operations
-        item4_key = 'Amazon S3'
-        item4_range = 'S3 Thread 2'
-        item4_attrs = {
-            'Message': 'S3 Thread 2 message text',
-            'LastPostedBy': 'User A',
-            'Views': 0,
-            'Replies': 0,
-            'Answered': 0,
-            'Tags': set(['largeobject', 'multipart upload']),
-            'LastPostDateTime': '12/9/2011 11:36:03 PM'
-        }
-        item5_key = 'Amazon S3'
-        item5_range = 'S3 Thread 3'
-        item5_attrs = {
-            'Message': 'S3 Thread 3 message text',
-            'LastPostedBy': 'User A',
-            'Views': 0,
-            'Replies': 0,
-            'Answered': 0,
-            'Tags': set(['largeobject', 'multipart upload']),
-            'LastPostDateTime': '12/9/2011 11:36:03 PM'
-        }
-        item4 = table.new_item(item4_key, item4_range, item4_attrs)
-        item5 = table.new_item(item5_key, item5_range, item5_attrs)
-        batch_list = c.new_batch_write_list()
-        batch_list.add_batch(table, puts=[item4, item5])
-        response = batch_list.submit()
-        # should really check for unprocessed items
-
-        # Do some generator gymnastics
-        results = table.scan(scan_filter={'Tags': CONTAINS('table')})
-        assert results.scanned_count == 5
-        results = table.scan(request_limit=2, max_results=5)
-        assert results.count == 2
-        for item in results:
-            if results.count == 2:
-                assert results.remaining == 4
-                results.remaining -= 2
-                results.next_response()
-            else:
-                assert results.count == 4
-                assert results.remaining in (0, 1)
-        assert results.count == 4
-        results = table.scan(request_limit=6, max_results=4)
-        assert len(list(results)) == 4
-        assert results.count == 4
-
-        batch_list = c.new_batch_write_list()
-        batch_list.add_batch(table, deletes=[(item4_key, item4_range),
-                                             (item5_key, item5_range)])
-        response = batch_list.submit()
-
-        # Try queries
-        results = table.query('Amazon DynamoDB', range_key_condition=BEGINS_WITH('DynamoDB'))
-        n = 0
-        for item in results:
-            n += 1
-        assert n == 2
-
-        # Try to delete the item with the right Expected value
-        expected = {'Views': 0}
-        item1.delete(expected_value=expected)
-
-        self.assertFalse(table.has_item(item1_key, range_key=item1_range,
-                                        consistent_read=True))
-        # Now delete the remaining items
-        ret_vals = item2.delete(return_values='ALL_OLD')
-        # some additional checks here would be useful
-        assert ret_vals['Attributes'][self.hash_key_name] == item2_key
-        assert ret_vals['Attributes'][self.range_key_name] == item2_range
-
-        item3.delete()
-        table2_item1.delete()
-        print('--- tests completed ---')
-
-    def test_binary_attrs(self):
-        c = self.dynamodb
-        schema = c.create_schema(self.hash_key_name, self.hash_key_proto_value,
-                                 self.range_key_name,
-                                 self.range_key_proto_value)
-        index = int(time.time())
-        table_name = 'test-%d' % index
-        read_units = 5
-        write_units = 5
-        table = self.create_table(table_name, schema, read_units, write_units)
-        table.refresh(wait_for_active=True)
-        item1_key = 'Amazon S3'
-        item1_range = 'S3 Thread 1'
-        item1_attrs = {
-            'Message': 'S3 Thread 1 message text',
-            'LastPostedBy': 'User A',
-            'Views': 0,
-            'Replies': 0,
-            'Answered': 0,
-            'BinaryData': Binary(b'\x01\x02\x03\x04'),
-            'BinarySequence': set([Binary(b'\x01\x02'), Binary(b'\x03\x04')]),
-            'Tags': set(['largeobject', 'multipart upload']),
-            'LastPostDateTime': '12/9/2011 11:36:03 PM'
-        }
-        item1 = table.new_item(item1_key, item1_range, item1_attrs)
-        item1.put()
-
-        retrieved = table.get_item(item1_key, item1_range, consistent_read=True)
-        self.assertEqual(retrieved['Message'], 'S3 Thread 1 message text')
-        self.assertEqual(retrieved['Views'], 0)
-        self.assertEqual(retrieved['Tags'],
-                         set(['largeobject', 'multipart upload']))
-        self.assertEqual(retrieved['BinaryData'], Binary(b'\x01\x02\x03\x04'))
-        # Also comparable directly to bytes:
-        self.assertEqual(retrieved['BinaryData'], b'\x01\x02\x03\x04')
-        self.assertEqual(retrieved['BinarySequence'],
-                         set([Binary(b'\x01\x02'), Binary(b'\x03\x04')]))
-
-    def test_put_decimal_attrs(self):
-        self.dynamodb.use_decimals()
-        table = self.create_sample_table()
-        item = table.new_item('foo', 'bar')
-        item['decimalvalue'] = Decimal('1.12345678912345')
-        item.put()
-        retrieved = table.get_item('foo', 'bar')
-        self.assertEqual(retrieved['decimalvalue'], Decimal('1.12345678912345'))
-
-    @unittest.skipIf(six.PY3, "skipping lossy_float_conversion test for Python 3.x")
-    def test_lossy_float_conversion(self):
-        table = self.create_sample_table()
-        item = table.new_item('foo', 'bar')
-        item['floatvalue'] = 1.12345678912345
-        item.put()
-        retrieved = table.get_item('foo', 'bar')['floatvalue']
-        # Notice how this is not equal to the original value.
-        self.assertNotEqual(1.12345678912345, retrieved)
-        # Instead, it's truncated:
-        self.assertEqual(1.12345678912, retrieved)
-
-    def test_large_integers(self):
-        # It's not just floating point numbers, large integers
-        # can trigger rouding issues.
-        self.dynamodb.use_decimals()
-        table = self.create_sample_table()
-        item = table.new_item('foo', 'bar')
-        item['decimalvalue'] = Decimal('129271300103398600')
-        item.put()
-        retrieved = table.get_item('foo', 'bar')
-        self.assertEqual(retrieved['decimalvalue'], Decimal('129271300103398600'))
-        # Also comparable directly to an int.
-        self.assertEqual(retrieved['decimalvalue'], 129271300103398600)
-
-    def test_put_single_letter_attr(self):
-        # When an attr is added that is a single letter, if it overlaps with
-        # the built-in "types", the decoding used to fall down. Assert that
-        # it's now working correctly.
-        table = self.create_sample_table()
-        item = table.new_item('foo', 'foo1')
-        item.put_attribute('b', 4)
-        stored = item.save(return_values='UPDATED_NEW')
-        self.assertEqual(stored['Attributes'], {'b': 4})