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# Type of request: This is a ...

[x] bug report
[ ] feature request

# Detailed description
When `mountCode: true` for a serverless.yml deployment to localstack on Windows, Localstack mounts the wrong path.
...

## Expected behavior
Docker expects the Windows client path value of the `-v` flag to begin with `/host_mtn/`.
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## Actual behavior
Localstack does not add this to the Windows client path. This causes the volume sharing to fail. Once one tries to invoke a lambda without the proper volume sharing, the lambda fails with an error along the lines of "can't find no module 'lambda_name'".
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# Steps to reproduce
1. In your `serverless.yml` set `mountCode: true` 
2. In your `docker-compose.yml` set the environment variable `LAMBDA_REMOTE_DOCKER: "0"` for the localstack container
3. Deploy some test lambda to the localstack container
4. Attempt to invoke with `awslocal lambda invoke --function-name LAMBDA_NAME out.txt` and replace LAMBDA_NAME with the name of your test lambda.
5. Note the invocation failure.

## Command used to start LocalStack
Started via a `docker-compose.yml` file. Pretty basic stuff.
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## Client code (AWS SDK code snippet, or sequence of "awslocal" commands)
Just the `awslocal` invoke command outlined above.
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environment['AWS_LAMBDA_FUNCTION_VERSION'] = context.function_version
            environment['AWS_LAMBDA_FUNCTION_INVOKED_ARN'] = context.invoked_function_arn
        
        command = ''
        
        if is_java_lambda(runtime):
            java_opts = Util.get_java_opts()
            stdin = None
            
            target_file = os.path.join(lambda_cwd, os.path.basename(LAMBDA_EXECUTOR_JAR))
            if not os.path.exists(target_file):
                cp_r(LAMBDA_EXECUTOR_JAR, target_file)
            
            taskdir = '/var/task'
            save_file(os.path.join(lambda_cwd, LAMBDA_EVENT_FILE), event_body)
            classpath = Util.get_java_classpath(target_file)
            command = ("bash -c 'cd %s; java %s -cp \"%s\" \"%s\" \"%s\" \"%s\"'" %
                (taskdir, java_opts, classpath, LAMBDA_EXECUTOR_CLASS, handler, LAMBDA_EVENT_FILE))
        
        if is_nodejs_runtime(runtime):
            environment['NODE_TLS_REJECT_UNAUTHORIZED'] = '0'
        
        cmd = self.prepare_execution(func_arn, environment, runtime, command, handler, lambda_cwd)
        
        LOG.info('Running lambda cmd: %s' % cmd)
        result = self.run_lambda_executor(cmd, stdin, env_vars=environment, func_details=func_details)
        return result
class LambdaExecutorReuseContainers(LambdaExecutorContainers):
    """ Executor class for executing Lambda functions in re-usable Docker containers """
    def __init__(self):