SQLModel will know that something declared as `str` will be a SQL column of type `TEXT` (or `VARCHAR`, depending on the database).

### Create an Engine { #create-an-engine }

A SQLModel `engine` (underneath it's actually a SQLAlchemy `engine`) is what **holds the connections** to the database.

}

// ObjectTooLarge error returned when the size of the object > max object size allowed (5G) per request.
type ObjectTooLarge GenericError

func (e ObjectTooLarge) Error() string {
	return "size of the object greater than what is allowed(5G)"
}

// ObjectTooSmall error returned when the size of the object < what is expected.
type ObjectTooSmall GenericError

	Name string

	// Date and time when the bucket was created.
	Created time.Time
	Deleted time.Time

	// Bucket features enabled
	Versioning, ObjectLocking bool
}

// ObjectInfo - represents object metadata.
type ObjectInfo struct {
	// Name of the bucket.
	Bucket string

	// Name of the object.
	Name string

	// Date and time when the object was last modified.
	ModTime time.Time

To do that, we declare a method `__call__`:

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[12] *}

In this case, this `__call__` is what **FastAPI** will use to check for additional parameters and sub-dependencies, and this is what will be called to pass a value to the parameter in your *path operation function* later.

## Parameterize the instance { #parameterize-the-instance }

// error returned in IAM subsystem when user doesn't exist.
var errNoSuchUser = errors.New("Specified user does not exist")

// error returned by IAM when a use a builtin IDP command when they could mean
// to use a LDAP command.
var errNoSuchUserLDAPWarn = errors.New("Specified user does not exist. If you meant a user in LDAP please use command under `mc idp ldap`")

// error returned when service account is not found

For example, let's say that you want to have a *path operation* that allows to update items, and returns HTTP status codes of 200 "OK" when successful.

But you also want it to accept new items. And when the items didn't exist before, it creates them, and returns an HTTP status code of 201 "Created".

  // Gets and Timed Gets
  //
  // * Be responsive to interruption
  // * Don't create Waiter nodes if you aren't going to park, this helps reduce contention on
  //   waitersField.
  // * Future completion is defined by when #valueField becomes non-null/non DelegatingToFuture
  // * Future completion can be observed if the waitersField field contains a TOMBSTONE

  // Timed Get
  // There are a few design constraints to consider

## Context Managers { #context-managers }

### What are "Context Managers" { #what-are-context-managers }

"Context Managers" are any of those Python objects that you can use in a `with` statement.

        try (MockedStatic<Crypto> mockedCrypto = mockStatic(Crypto.class)) {
            mockedCrypto.when(Crypto::getMD5).thenReturn(mockMd5);
            byte[] innerDigest = "inner_digest".getBytes();
            byte[] finalDigest = "final_digest".getBytes();

            when(mockMd5.digest()).thenReturn(innerDigest);
            when(mockMd5.digest(any(byte[].class))).thenReturn(finalDigest);

You would probably do this just once, the first time, when setting everything up.

/// tip

This Domain Name part is way before HTTPS, but as everything depends on the domain and the IP address, it's worth mentioning it here.

///

### DNS { #dns }

Now let's focus on all the actual HTTPS parts.

First, the browser would check with the **DNS servers** what is the **IP for the domain**, in this case, `someapp.example.com`.