func.return
}

// -----

// Mismatching batch dimensions.
func.func @testBatchMatMul(%lhs: tensor<1x3x5xf32>, %rhs: tensor<2x5x7xf32>) {
  // expected-error @+1 {{found mismatching batch dimensions for lhs shape 'tensor<1x3x5xf32>' and rhs shape 'tensor<2x5x7xf32>'}}

						"src1": {
								"endpoint": "{{.URL}}/groups",
								"access_token": "groups_token"
						}
				},
				"exp": %d
			}`, valid.Unix()),
			claimToResponseMap: map[string]string{
				// Note mismatching "aud"
				"groups": fmt.Sprintf(`{
					"iss": "{{.URL}}",
				    "aud": "your-client",
					"groups": ["team1", "team2"],
					"exp": %d
			     }`, valid.Unix()),
			},
			openIDConfig: `{

-...

    if (output_shape[i] != ShapedType::kDynamic &&
        result_batch_shape[i] != ShapedType::kDynamic &&
        output_shape[i] != result_batch_shape[i])
      return op.emitOpError()
             << "has mismatching input batch dimension "
             << result_batch_shape[i] << " and output batch dimension "
             << output_shape[i];
  }

  // Check output shape for non-batch dimension, following documentation below.

			}
			contentLength = rec.Header().Get("Content-Length")
		}

		if contentLength != fmt.Sprintf("%d", objectLength(input)) {
			t.Errorf("Test %d: Content length is mismatching: got %s (expected: %d)", i+1, contentLength, objectLength(input))
		}
	}
}

// Wrapper for calling GetObject API handler tests for both Erasure multiple disks and FS single drive setup.

"description": "`nominalConcurrencyShares` (NCS) contributes to the computation of the NominalConcurrencyLimit (NominalCL) of this level. This is the number of execution seats nominally reserved for this priority level. This DOES NOT limit the dispatching from this priority level but affects the other priority levels through the borrowing mechanism. The server's concurrency limit (ServerCL) is divided among all the priority levels in proportion to their NCS values:\n\nNominalCL(i)  = ceil( ServerCL...

"description": "`nominalConcurrencyShares` (NCS) contributes to the computation of the NominalConcurrencyLimit (NominalCL) of this level. This is the number of execution seats nominally reserved for this priority level. This DOES NOT limit the dispatching from this priority level but affects the other priority levels through the borrowing mechanism. The server's concurrency limit (ServerCL) is divided among all the priority levels in proportion to their NCS values:\n\nNominalCL(i)  = ceil( ServerCL...

	v.FieldByName("F") // should panic

	t.Fatalf("did not panic")
}

// Given
//	type Outer struct {
//		*Inner
//		...
//	}
// the compiler generates the implementation of (*Outer).M dispatching to the embedded Inner.
// The implementation is logically:
//	func (p *Outer) M() {
//		(p.Inner).M()
//	}
// but since the only change here is the replacement of one pointer receiver with another,

		Description: "`nominalConcurrencyShares` (NCS) contributes to the computation of the NominalConcurrencyLimit (NominalCL) of this level. This is the number of execution seats nominally reserved for this priority level. This DOES NOT limit the dispatching from this priority level but affects the other priority levels through the borrowing mechanism. The server's concurrency limit (ServerCL) is divided among all the priority levels in proportion to their NCS values:\n\nNominalCL(i)  = ceil( ServerCL...

"description": "`nominalConcurrencyShares` (NCS) contributes to the computation of the NominalConcurrencyLimit (NominalCL) of this level. This is the number of execution seats nominally reserved for this priority level. This DOES NOT limit the dispatching from this priority level but affects the other priority levels through the borrowing mechanism. The server's concurrency limit (ServerCL) is divided among all the priority levels in proportion to their NCS values:\n\nNominalCL(i)  = ceil( ServerCL...