}
	if c.Proxy != "" {
		os.Setenv("CONSOLE_SUBNET_PROXY", c.Proxy)
	}
	os.Setenv("CONSOLE_SUBNET_URL", c.BaseURL)
}

// Update - in-place update with new license and registration information.
func (c *Config) Update(ncfg Config, isDevEnv bool) {
	configLock.Lock()
	defer configLock.Unlock()

	c.License = ncfg.License
	c.APIKey = ncfg.APIKey
	c.Proxy = ncfg.Proxy

setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to
# happen at load time will trigger, eg registration of optimizers in the
# SavedModel registry.
# See b/196254385 for more details.
try:
  if _tf_uses_legacy_keras:
    importlib.import_module("tf_keras.src.optimizers")
  else:

#     visibility = ["//visibility:public"],
# )
# copybara:uncomment_end

# 'enable_registration_v2' opts-in to a different implementation of op and
# kernel registration - REGISTER_OP, REGISTER_KERNEL_BUILDER, etc.
#
# This setting is currently experimental. The 'v2' implementation does _not_
# correspond to a particular, finalized design; rather, it relates to
# developing one.
#

UUIDs are 128 bit numbers which are intended to have a high likelihood of uniqueness over space and time and are computationally difficult to guess. They are globally unique identifiers which can be locally generated without contacting a global registration authority. UUIDs are intended as unique identifiers for both mass tagging objects with an extremely short lifetime and to reliably identifying very persistent objects across a network.

When you PUT an object in a versioning-enabled bucket,...

	// Use bitwise-AND and check if the result is non-zero.
	return h&flag != 0
}

// s3APIMiddleware - performs some common handler functionality for S3 API
// handlers.
//
// It is set per-"handler function registration" in the router to allow for
// behavior modification via flags.
//
// This middleware always calls `collectAPIStats` to collect API stats.
//

common --repo_env=ML_WHEEL_VERSION_SUFFIX=""

# For projects which use TensorFlow as part of a Bazel build process, putting
# nothing in a bazelrc will default to a monolithic build. The following line
# opts in to modular op registration support by default.
common --define framework_shared_object=true
common --define tsl_protobuf_header_only=true

common --define=allow_oversize_protos=true

common --spawn_strategy=standalone
common -c opt

// need a sample HTTP request to be sent as argument so that the relevant handler is called, the handler registration is expected
// to be done since its called from within the API handler tests, the reference to the registered HTTP handler has to be sent
// as an argument.

// - sets up call to send AuditLog
//
// While this is a middleware function (i.e. it takes a handler function and
// returns one), due to flags being passed based on required conditions, it is
// done per-"handler function registration" in the router.
//
// The passed in handler function must be a method of `adminAPIHandlers` for the
// name displayed in logs and trace to be accurate. The name is extracted via
// reflection.
//

        interface.
        *   Add custom ops and kernels through
            [kernel and op registration C API](https://github.com/tensorflow/community/blob/master/rfcs/20190814-kernel-and-op-registration.md).
        *   Register custom graph optimization passes with

                                        const char* device);

// The calls to TF_AddInput and TF_AddInputList must match (in number,
// order, and type) the op declaration.  For example, the "Concat" op
// has registration:
//   REGISTER_OP("Concat")
//       .Input("concat_dim: int32")
//       .Input("values: N * T")
//       .Output("output: T")
//       .Attr("N: int >= 2")
//       .Attr("T: type");