from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2
_tf2.enable()

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

# Make sure directory containing top level submodules is in

        self.cid = cid
        self.csec = csec
        self.idp_ep = idp_ep
        self.sts_ep = sts_ep

        # Load CA certificates from SSL_CERT_FILE file if set
        ca_certs = os.environ.get('SSL_CERT_FILE')
        if not ca_certs:
            ca_certs = certifi.where()

        self._http = urllib3.PoolManager(
            timeout=urllib3.Timeout.DEFAULT_TIMEOUT,
            maxsize=10,

    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")