sts.AssumeRoleWithSSO(w, r)
}

// AssumeRoleWithClientGrants - implementation of AWS STS extension API supporting
// OAuth2.0 client credential grants.
//
// Eg:-
//
//	$ curl https://minio:9000/?Action=AssumeRoleWithClientGrants&Token=<jwt>
func (sts *stsAPIHandlers) AssumeRoleWithClientGrants(w http.ResponseWriter, r *http.Request) {
	sts.AssumeRoleWithSSO(w, r)

            }
        }
    ]
}`

	policyProjectsMap = map[string]string{
		// grants access to bucket `projecta` if user is in group `projecta`
		"projecta": policyProjectA,

		// grants access to bucket `projectb` if user is in group `projectb`
		"projectb": policyProjectB,

		// grants access to bucket `projectaorb` if user is in either group
		// `projecta` or `projectb`

"houvera", "houvéramos", "haja", "hajamos", "hajam", "houvesse", "houvéssemos", "houvessem", "houver", "houvermos", "houverem", "houverei", "houverá", "houveremos", "houverão", "houveria", "houveríamos", "houveriam", "sou", "somos", "são", "era", "éramos", "eram", "fui", "foi", "fomos", "foram", "fora", "fôramos", "seja", "sejamos", "sejam", "fosse", "fôssemos", "fossem", "for", "formos", "forem", "serei", "será", "seremos", "serão", "seria", "seríamos", "seriam", "tenho", "tem", "temos", "tém", "tinha",...

"houvera", "houvéramos", "haja", "hajamos", "hajam", "houvesse", "houvéssemos", "houvessem", "houver", "houvermos", "houverem", "houverei", "houverá", "houveremos", "houverão", "houveria", "houveríamos", "houveriam", "sou", "somos", "são", "era", "éramos", "eram", "fui", "foi", "fomos", "foram", "fora", "fôramos", "seja", "sejamos", "sejam", "fosse", "fôssemos", "fossem", "for", "formos", "forem", "serei", "será", "seremos", "serão", "seria", "seríamos", "seriam", "tenho", "tem", "temos", "tém", "tinha",...

        the input had a fully static shape or not. Now these ops always return
        symbolic values.
    *   Code already susceptible to leaking tensors outside of graphs becomes
        slightly more likely to do so now.
    *   Code that tries directly getting gradients with respect to symbolic
        Keras inputs/outputs. Use `GradientTape` on the actual Tensors passed to

me see--how IS it to be managed?  I suppose I ought to eat or
drink something or other; but the great question is, what?'

  The great question certainly was, what?  Alice looked all round
her at the flowers and the blades of grass, but she did not see
anything that looked like the right thing to eat or drink under
the circumstances.  There was a large mushroom growing near her,
about the same height as herself; and when she had looked under

    // Compare that the graphs match.
    GraphDef expected_gdef;
    GraphDef gdef;
    EXPECT_TRUE(GetGraphDef(expected_graph_, &expected_gdef));
    EXPECT_TRUE(GetGraphDef(graph_, &gdef));
    TF_EXPECT_GRAPH_EQ(expected_gdef, gdef);

    // Compare that the output of the gradients of both graphs match.
    RunGraphsAndCompareOutputs(grad_outputs, expected_grad_outputs);

/*!
  * Bootstrap v5.3.0 (https://getbootstrap.com/)
  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
  */

/*!
  * Bootstrap v4.6.2 (https://getbootstrap.com/)
  * Copyright 2011-2022 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
  */

  // Add a config_proto attr, to trigger grappler graph rewrites in the current
  // eager runtime.
  if (enable_grappler) {
    tensorflow::ConfigProto config;
    // Do not skip grappler optimization even for small graphs.
    config.mutable_graph_options()
        ->mutable_rewrite_options()
        ->set_min_graph_nodes(-1);
    string serialized_config;
    ASSERT_TRUE(config.SerializeToString(&serialized_config));