def __init__()

in s3transfer/manager.py [0:0]


    def __init__(self, client, config=None, osutil=None, executor_cls=None):
        """A transfer manager interface for Amazon S3

        :param client: Client to be used by the manager
        :param config: TransferConfig to associate specific configurations
        :param osutil: OSUtils object to use for os-related behavior when
            using with transfer manager.

        :type executor_cls: s3transfer.futures.BaseExecutor
        :param executor_cls: The class of executor to use with the transfer
            manager. By default, concurrent.futures.ThreadPoolExecutor is used.
        """
        self._client = client
        self._config = config
        if config is None:
            self._config = TransferConfig()
        self._osutil = osutil
        if osutil is None:
            self._osutil = OSUtils()
        self._coordinator_controller = TransferCoordinatorController()
        # A counter to create unique id's for each transfer submitted.
        self._id_counter = 0

        # The executor responsible for making S3 API transfer requests
        self._request_executor = BoundedExecutor(
            max_size=self._config.max_request_queue_size,
            max_num_threads=self._config.max_request_concurrency,
            tag_semaphores={
                IN_MEMORY_UPLOAD_TAG: TaskSemaphore(
                    self._config.max_in_memory_upload_chunks
                ),
                IN_MEMORY_DOWNLOAD_TAG: SlidingWindowSemaphore(
                    self._config.max_in_memory_download_chunks
                ),
            },
            executor_cls=executor_cls,
        )

        # The executor responsible for submitting the necessary tasks to
        # perform the desired transfer
        self._submission_executor = BoundedExecutor(
            max_size=self._config.max_submission_queue_size,
            max_num_threads=self._config.max_submission_concurrency,
            executor_cls=executor_cls,
        )

        # There is one thread available for writing to disk. It will handle
        # downloads for all files.
        self._io_executor = BoundedExecutor(
            max_size=self._config.max_io_queue_size,
            max_num_threads=1,
            executor_cls=executor_cls,
        )

        # The component responsible for limiting bandwidth usage if it
        # is configured.
        self._bandwidth_limiter = None
        if self._config.max_bandwidth is not None:
            logger.debug(
                'Setting max_bandwidth to %s', self._config.max_bandwidth
            )
            leaky_bucket = LeakyBucket(self._config.max_bandwidth)
            self._bandwidth_limiter = BandwidthLimiter(leaky_bucket)

        self._register_handlers()