cn = "Sally Certowner"

# In how many days, counting from today, this certificate will expire.
expiration_days = 365

# X.509 v3 extensions

# DNS name(s) of the server
dns_name = "localhost"

# (Optional) Server IP address
ip_address = "127.0.0.1"

# Whether this certificate will be used for a TLS server
tls_www_server
```

  // Create an abstract tensor handle from tensorflow::Tensor.
  virtual ImmediateExecutionTensorHandle* CreateLocalHandleFromTFTensor(
      tensorflow::Tensor& t, const char* d_name) = 0;

  // Convert a TFRT TensorHandle to tensorflow::TensorHandle.
  virtual ImmediateExecutionTensorHandle* TFTensorHandleFromInterface(
      ImmediateExecutionTensorHandle* handle) = 0;

	user := *GetUser("select_with_update_column", Config{Account: true, Pets: 3, Toys: 3, Company: true, Manager: true, Team: 3, Languages: 3, Friends: 4})
	DB.Create(&user)

	updateValues := map[string]interface{}{"Name": "new_name", "Age": 50}

	var result User
	DB.First(&result, user.ID)

	time.Sleep(time.Second)
	lastUpdatedAt := result.UpdatedAt
	DB.Model(&result).Select("Name").Updates(updateValues)

	var result2 User

	{"addr2+24(FP)", "addr2+24(FP)"},
	{"asmcgocall<>(SB)", "asmcgocall<>(SB)"},
	{"b+24(FP)", "b+24(FP)"},
	{"b_len+32(FP)", "b_len+32(FP)"},
	{"racecall<>(SB)", "racecall<>(SB)"},
	{"rcv_name+20(FP)", "rcv_name+20(FP)"},
	{"retoffset+28(FP)", "retoffset+28(FP)"},
	{"runtime·_GetStdHandle(SB)", "runtime._GetStdHandle(SB)"},
	{"sync\u2215atomic·AddInt64(SB)", "sync/atomic.AddInt64(SB)"},

        Files.writeString(mvn.resolve("env-test.properties"), "\n");

        // Arrange
        CliRequest request = new CliRequest(
                new String[] {
                    "-DenvName=test",
                    "-Dfoo=bar",
                    "-DvalFound=s${foo}i",
                    "-DvalNotFound=s${foz}i",
                    "-DvalRootDirectory=${session.rootDirectory}/.mvn/foo",

  using tensorflow::shape_inference::ShapeHandle;

  const int num_inputs = input_shapes->num_items;
  NodeDef node_def;
  tensorflow::ImmediateExecutionOperation* op = tensorflow::unwrap(tfe_op);
  node_def.set_name(op->Name());
  node_def.set_op(op->Name());
  for (int i = 0; i < num_inputs; ++i) {
    node_def.add_input("dummy_input");
  }
  OperationFromInterface(op)->Attrs().FillAttrValueMap(node_def.mutable_attr());

  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  server_def.set_task_index(0);
  auto cluster = server_def.mutable_cluster();
  auto client_job = cluster->add_job();
  client_job->set_name("localhost");
  int client_port = tensorflow::testing::PickUnusedPortOrDie();
  client_job->mutable_tasks()->insert(
      {0, absl::StrCat("localhost:", client_port)});
  server_def.set_job_name("localhost");

  tensorflow::JobDef* job_def = cluster_def->add_job();
  job_def->set_name("client");

  // Add a client.
  job_def->mutable_tasks()->insert(
      {0,
       absl::StrCat("localhost:", tensorflow::testing::PickUnusedPortOrDie())});

  tensorflow::JobDef* job_def2 = cluster_def->add_job();
  job_def2->set_name("worker");

  // Copy over `host:port` at `task_index`

This notification target supports two formats: _namespace_ and _access_.

from starlette.requests import Request
from starlette.responses import JSONResponse, Response, StreamingResponse
from starlette.routing import (
    BaseRoute,
    Match,
    compile_path,
    get_name,
)
from starlette.routing import Mount as Mount  # noqa
from starlette.types import AppType, ASGIApp, Lifespan, Receive, Scope, Send
from starlette.websockets import WebSocket
from typing_extensions import deprecated