## Problem
Currently, even if `LAMBDA_REMOTE_DOCKER=1`, we unzip the zip files in the directory they are in, which is usually /var/lib/localstack, which usually has a bind mount to the host.
On docker desktop, due to the use of grpc-FUSE (on macos), this can be very slow, about 200 times slower than on volumes / directly on the host. With experimental virtio filesystem enabled (also on macos), this can be reduced to about 30 times as slow, but still problematic.
This means a lambda may take a lot of time processing, for each additional layer some more. This especially affects nodejs lambdas with huge node_modules folders.

## Probable solution
At least if `LAMBDA_REMOTE_DOCKER=1`, we should leave the initial zip files on the bind mount (for persistence etc), but the working directories after unzipping should be located on non-bind mounts, to speed up the IO for unzipping.
lambdas: Dict[str, LambdaFunction]
    
    code_signing_configs: Dict[str, CodeSigningConfig]
    
    event_source_mappings: List[Dict]
    def __init__(self):
        self.lambdas = {}
        self.code_signing_configs = {}
        self.event_source_mappings = []
def cleanup():
    region = LambdaRegion.get()
    region.lambdas = {}
    region.event_source_mappings = []
    LAMBDA_EXECUTOR.cleanup()
def func_arn(function_name, remove_qualifier=True):
    parts = function_name.split(":function:")
    if remove_qualifier and len(parts) > 1:
        function_name = "%s:function:%s" % (parts[0], parts[1].split(":")[0])
    return aws_stack.lambda_function_arn(function_name)
def func_qualifier(function_name, qualifier=None):
    region = LambdaRegion.get()
    arn = aws_stack.lambda_function_arn(function_name)
    details = region.lambdas.get(arn)
    if not details:
        return details
    if details.qualifier_exists(qualifier):
        return "{}:{}".format(arn, qualifier)
    return arn
def check_batch_size_range(source_arn, batch_size=None):