%0 = mhlo.constant dense<(1.000000e+00,-1.000000e+00)> : tensor<128x32x4xcomplex<f32>>
  %1 = mhlo.constant dense<(1.000000e+00,1.000000e+00)> : tensor<8x64x128xcomplex<f32>>
  %2 = "mhlo.einsum"(%1, %0) <{einsum_config = "abc,cde->abde"}> : (tensor<8x64x128xcomplex<f32>>, tensor<128x32x4xcomplex<f32>>) -> tensor<8x64x32x4xcomplex<f32>>
  return %2 : tensor<8x64x32x4xcomplex<f32>>
}

// -----

          func_aliases.values(), [quantize_model_test_base.FUNC_ALIAS]
      )

  @parameterized.parameters(
      testing.parameter_combinations([{
          'equation': (
              'abc,cde->abde',
              'abc,dce->abde',
          ),
      }])
  )
  def test_einsum_ptq_model(
      self,
      equation: str,
  ):
    _, y_shape, bias_shape, x_signature, y_signature = (

        input_tensor=ops.convert_to_tensor(input_data)
    )

    self.assertAllClose(expected_outputs, got_outputs, atol=0.05)

  @parameterized.parameters(
      ('abc,cde->abde', quant_opts_pb2.XLA),
      ('abc,dce->abde', quant_opts_pb2.XLA),
  )
  def test_einsum_ptq_model(
      self,
      equation: str,
      target_opset: quant_opts_pb2.OpSet,
  ):

func InvertBranch(as obj.As) obj.As {
	switch as {
	case ABEQ:
		return ABNE
	case ABEQZ:
		return ABNEZ
	case ABGE:
		return ABLT
	case ABGEU:
		return ABLTU
	case ABGEZ:
		return ABLTZ
	case ABGT:
		return ABLE
	case ABGTU:
		return ABLEU
	case ABGTZ:
		return ABLEZ
	case ABLE:
		return ABGT
	case ABLEU:
		return ABGTU
	case ABLEZ:
		return ABGTZ

	asmeq, invasmun bool
}{
	ssa.BlockPPC64EQ: {ppc64.ABEQ, ppc64.ABNE, false, false},
	ssa.BlockPPC64NE: {ppc64.ABNE, ppc64.ABEQ, false, false},

	ssa.BlockPPC64LT: {ppc64.ABLT, ppc64.ABGE, false, false},
	ssa.BlockPPC64GE: {ppc64.ABGE, ppc64.ABLT, false, false},
	ssa.BlockPPC64LE: {ppc64.ABLE, ppc64.ABGT, false, false},
	ssa.BlockPPC64GT: {ppc64.ABGT, ppc64.ABLE, false, false},

				t.Fatalf("check %q: expected to be able to pop after %d pops", name, i+1)
			} else if got != want {
				t.Fatalf("check %q: expected value %d after on pop %d, got %d", name, want, i+1, got)
			}
		}
		if _, ok := q.pop(); ok {
			t.Fatalf("check %q: did not expect to be able to pop more values", name)
		}
		if _, ok := q.pop(); ok {
			t.Fatalf("check %q: did not expect to be able to pop more values a second time", name)
		}
	}

    If you integrate your API with an OAuth2 provider, you will be able to authenticate and come back to the API docs with the acquired credentials. And interact with it using the real OAuth2 authentication.

    Swagger UI will handle it behind the scenes for you, but it needs this "redirect" helper.

### Create a *path operation* to test it

Now, to be able to test that everything works, create a *path operation*:

    val relay = edit(file, upstream, metadata, 5)
    val source1 = relay.newSource()!!.buffer()
    val source2 = relay.newSource()!!.buffer()
    assertThat(source1.readUtf8(5)).isEqualTo("abcde")
    assertThat(source2.readUtf8(5)).isEqualTo("abcde")
    assertThat(source2.readUtf8(5)).isEqualTo("fghij")
    assertThat(source1.readUtf8(5)).isEqualTo("fghij")
    assertThat(source1.exhausted()).isTrue()

	MOVD  16(R9), R17     // R17 = y[i+1]
	MOVD  24(R9), R18     // R18 = y[i+2]
	MOVDU 32(R9), R19     // R19 = y[i+3]
	ADDE  R11, R16, R20   // R20 = x[i] + y[i] + CA
	ADDE  R12, R17, R21   // R21 = x[i+1] + y[i+1] + CA
	ADDE  R14, R18, R22   // R22 = x[i+2] + y[i+2] + CA
	ADDE  R15, R19, R23   // R23 = x[i+3] + y[i+3] + CA
	MOVD  R20, 8(R10)     // z[i]
	MOVD  R21, 16(R10)    // z[i+1]
	MOVD  R22, 24(R10)    // z[i+2]

This way, if any part of Starlette's internal code, or a Starlette extension or plug-in, raises a Starlette `HTTPException`, your handler will be able to catch and handle it.

In this example, to be able to have both `HTTPException`s in the same code, Starlette's exceptions is renamed to `StarletteHTTPException`:

```Python
from starlette.exceptions import HTTPException as StarletteHTTPException
```