VPGATHERQQ Y0, (R13)(Y1*1), Y2          // c4c2fd91540d00
	VPGATHERQQ Y0, 16(R13)(Y1*1), Y2        // c4c2fd91540d10
	VPGATHERQQ Y0, 512(R13)(Y1*1), Y2       // c4c2fd91940d00020000
	// Test low-8 register for /is4 "hr" operand.
	VPBLENDVB X0, (BX), X1, X2              // c4e3714c1300
	// <XMM0>/Yxr0 tests.
	SHA256RNDS2 X0, (BX), X2   // 0f38cb13
	SHA256RNDS2 X0, (R11), X2  // 410f38cb13

  // adding inputs and finally executing (immediately or lazily as in tracing)
  // it in this context.
  virtual AbstractOperation* CreateOperation() = 0;

  // Registers a function with this context, after this the function is
  // available to be called/referenced by its name in this context.
  virtual absl::Status RegisterFunction(AbstractFunction*) = 0;

// call.
TF_AbstractFunction* TF_FinalizeFunction(TF_ExecutionContext* ctx,
                                         TF_OutputList*, TF_Status*);

void TF_DeleteAbstractFunction(TF_AbstractFunction*);

// Register the function with the given context. This is particularly useful for
// making a function available to an eager context.
void TF_ExecutionContextRegisterFunction(TF_ExecutionContext*,

from tests.utils import needs_py39, needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()


@pytest.fixture(
    name="client",
    params=[
        "tutorial001",
        pytest.param("tutorial001_py39", marks=needs_py39),

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:
    importlib.import_module("keras.src.optimizers")

# When cross-compiling with RBE, we need to copy the macOS sysroot to be
# inside the TensorFlow root directory. We then define them as a filegroup
# target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel
# can register it as an input to compile/link actions and send it to the remote
# VMs when needed.
# TODO(b/316932689): Avoid copying and replace with a local repository rule.
if [[ "$TFCI_MACOS_CROSS_COMPILE_ENABLE" == 1 ]]; then

		(op1 << 20) | // MCR/MRC
		((int64(bits) ^ arm.C_SCOND_XOR) << 28) | // scond
		((x0 & 15) << 8) | //coprocessor number
		((x1 & 7) << 21) | // coprocessor operation
		((x2 & 15) << 12) | // ARM register
		((x3 & 15) << 16) | // Crn
		((x4 & 15) << 0) | // Crm
		((x5 & 7) << 5) | // coprocessor information
		(1 << 4) /* must be set */
	return offset, arm.AMRC, true
}

import (
	"context"
	"database/sql"
	"encoding/json"
	"errors"
	"fmt"
	"net/url"
	"os"
	"path/filepath"
	"regexp"
	"strconv"
	"strings"
	"time"
	"unicode"

	_ "github.com/lib/pq" // Register postgres driver

	"github.com/minio/minio/internal/event"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/minio/internal/once"
	"github.com/minio/minio/internal/store"
	xnet "github.com/minio/pkg/v3/net"

labels.user_x121Address=X121 Address
labels.x121Address=X121 Address
labels.user_businessCategory=Business Category
labels.businessCategory=Business Category
labels.user_registeredAddress=Registered Address
labels.registeredAddress=Registered Address
labels.user_displayName=Display Name
labels.displayName=Display Name
labels.user_preferredLanguage=Preferred Language
labels.preferredLanguage=Preferred Language

from tests.utils import needs_py39, needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()


@pytest.fixture(
    name="client",
    params=[
        "tutorial002",
        pytest.param("tutorial002_py39", marks=needs_py39),