With the following serverless.yml file:
```yml
service: localtest

provider:
  name: aws
  runtime: nodejs10.x

functions:
  hello:
    handler: handler.hello
    events:
    - stream:
        type: dynamodb
        arn:
          Fn::GetAtt: [fooTable, StreamArn]

resources:
  Resources:
    fooTable:
      Type: AWS::DynamoDB::Table
      Properties:
        TableName: fooTable
        AttributeDefinitions:
          - AttributeName: foo
            AttributeType: S
        KeySchema:
          - AttributeName: foo
            KeyType: HASH
        ProvisionedThroughput:
          ReadCapacityUnits: 1
          WriteCapacityUnits: 1
        StreamSpecification:
          StreamViewType: NEW_AND_OLD_IMAGES

plugins:
- "serverless-localstack"

custom:
  localstack:
    stages:
      - "local"
```
It fails with a generic error (500) on the deployment end and with `:ERROR:localstack.services.cloudformation.cloudformation_starter: Unable to parse and create resource "HelloEventSourceMappingDynamodbFooTable": 'NoneType' object has no attribute 'function_arn'` on the localstack end.
It deploys fine to AWS.
try:
        out = to_str(subprocess.check_output('uname -a', shell=True))
        return 'Linux' in out
    except subprocess.CalledProcessError:
        return False
def short_uid():
    return str(uuid.uuid4())[0:8]
def json_safe(item):
    """ return a copy of the given object (e.g., dict) that is safe for JSON dumping """
    try:
        return json.loads(json.dumps(item, cls=CustomEncoder))
    except Exception:
        item = fix_json_keys(item)
        return json.loads(json.dumps(item, cls=CustomEncoder))
def fix_json_keys(item):
    """ make sure the keys of a JSON are strings (not binary type or other) """
    item_copy = item
    if isinstance(item, list):
        item_copy = []
        for i in item:
            item_copy.append(fix_json_keys(i))
    if isinstance(item, dict):
        item_copy = {}
        for k, v in item.items():
            item_copy[to_str(k)] = fix_json_keys(v)
    return item_copy
def save_file(file, content, append=False):