result = "running=[DONE]";
    } else if (state instanceof Blocker) {
      result = "running=[INTERRUPTED]";
    } else if (state instanceof Thread) {
      // getName is final on Thread, no need to worry about exceptions
      result = "running=[RUNNING ON " + ((Thread) state).getName() + "]";
    } else {
      result = "running=[NOT STARTED YET]";
    }
    return result + ", " + toPendingString();
  }

if __name__ == '__main__':
	app.run()
```

When you're writing a Lambda function for use with MinIO, the function is based on event context that MinIO provides to the Lambda function. The event context provides information about the request being made. It contains the parameters with relevant context. The fields used to create the Lambda function are as follows:

		"Please add TLS certificate or use HTTP endpoints only",
		"Refer to https://min.io/docs/minio/linux/operations/network-encryption.html for information about how to load a TLS certificate in your server",
	)

	ErrCertsAndHTTPEndpoints = newErrFn(
		"HTTP specified in endpoints, but the server in the local machine is configured with a TLS certificate",

        writeInt2( andxOffset, dst, start + ANDX_OFFSET_OFFSET );

        andx.useUnicode = useUnicode;
        if( andx instanceof AndXServerMessageBlock ) {

            /*
             * A word about communicating header info to andx smbs
             *
             * This is where we recursively invoke the provided andx smb
             * object to write it's parameter words and bytes to our outgoing

        // it refers to a snapshot artifact or meta-version.
        // NOTE: Release metadata includes version information about artifacts that have been released, to allow
        // meta-versions like RELEASE and LATEST to resolve, and also to allow retrieval of the range of valid, released
        // artifacts available.

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

### About `**user_in.dict()`

#### Pydantic's `.dict()`

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

	"Action": "s3:ListBucket*",
	"Resource": "arn:aws:s3:::mybucket",
	"Condition": {"IpAddress": {"aws:SourceIp": "203.0.113.0/24"}}
  }
}
```

- `aws:UserAgent` - This value is a string that contains information about the requester's client application. This string is generated by the client and can be unreliable. You can only use this context key from `mc` or other MinIO SDKs which standardize the User-Agent string.

  // requested. e.g. a patch can result in either a CREATE or UPDATE Operation.
  optional string operation = 7;

  // UserInfo is information about the requesting user
  optional k8s.io.api.authentication.v1.UserInfo userInfo = 8;

  // Object is the object from the incoming request.
  // +optional
  optional k8s.io.apimachinery.pkg.runtime.RawExtension object = 9;

  // requested. e.g. a patch can result in either a CREATE or UPDATE Operation.
  optional string operation = 7;

  // UserInfo is information about the requesting user
  optional k8s.io.api.authentication.v1.UserInfo userInfo = 8;

  // Object is the object from the incoming request.
  // +optional
  optional k8s.io.apimachinery.pkg.runtime.RawExtension object = 9;

  // Items is a list of ClusterRoles
  repeated ClusterRole items = 2;
}

// PolicyRule holds information that describes a policy rule, but does not contain information
// about who the rule applies to or which namespace the rule applies to.
message PolicyRule {
  // Verbs is a list of Verbs that apply to ALL the ResourceKinds contained in this rule. '*' represents all verbs.
  repeated string verbs = 1;