def get_full_name(first_name, last_name):
    full_name = first_name.title() + " " + last_name.title()
    return full_name

                "msg": "String should have at least 1 character",
                "type": "string_too_short",
                "input": "",
            }
        )
        # TODO: remove when deprecating Pydantic v1
        | IsDict(
            {
                "ctx": {"limit_value": 1},
                "loc": ["query", "foo"],
                "msg": "ensure this value has at least 1 characters",

        last_edge = discussion_edges[-1]
        discussion_edges = get_graphql_question_discussion_edges(
            settings=settings, after=last_edge.cursor
        )
    return discussion_nodes


def get_discussions_experts(
    discussion_nodes: List[DiscussionsNode],
) -> DiscussionExpertsResults:
    commenters = Counter()
    last_month_commenters = Counter()

import boto3

s3 = boto3.client('s3',
                  endpoint_url='http://localhost:9000',
                  aws_access_key_id='minio',
                  aws_secret_access_key='minio123',
                  region_name='us-east-1')

r = s3.select_object_content(
    Bucket='mycsvbucket',
    Key='sampledata/TotalPopulation.csv.gz',
    ExpressionType='SQL',
    Expression="select * from s3object s where s.Location like '%United States%'",

        endpoint_url='http://localhost:9000',
        aws_access_key_id='YOUR-ACCESSKEYID',
        aws_secret_access_key='YOUR-SECRETACCESSKEY',
        config=Config(signature_version='s3v4'),
        region_name='us-east-1')


def _add_header(request, **kwargs):
    request.headers.add_header('x-minio-extract', 'true')
event_system = s3.meta.events
event_system.register_first('before-sign.s3.*', _add_header)

# List zip contents

        for discussion_edge in discussion_edges:
            comment_nodes.append(discussion_edge.node)
        last_edge = discussion_edges[-1]
        discussion_edges = get_graphql_translation_discussion_comments_edges(
            settings=settings,
            discussion_number=discussion_number,
            after=last_edge.cursor,
        )
    return comment_nodes

    #     return firstname

    # @app.post("/form_examples")
    # def form_examples(
    #     lastname: str = Form(
    #         ...,
    #         examples={
    #             "example1": {"summary": "last name summary", "value": "Doe"},
    #             "example2": {"value": "Doesn't"},
    #         },
    #     ),
    # ):
    #     return lastname

    # @app.post("/form_example_examples")

    if origin is Union or origin is UnionType:
        at_least_one_scalar_sequence = False
        for arg in get_args(annotation):
            if field_annotation_is_scalar_sequence(arg):
                at_least_one_scalar_sequence = True
                continue
            elif not field_annotation_is_scalar(arg):
                return False
        return at_least_one_scalar_sequence

                    "msg": "String should have at least 2 characters",
                    "input": "f",
                    "ctx": {"min_length": 2},
                }
            ]
        }
    ) | IsDict(
        {
            "detail": [
                {
                    "loc": ["path", "item_id"],
                    "msg": "ensure this value has at least 2 characters",

app = FastAPI()


def query_extractor(q: Union[str, None] = None):
    return q


def query_or_cookie_extractor(
    q: Annotated[str, Depends(query_extractor)],
    last_query: Annotated[Union[str, None], Cookie()] = None,
):
    if not q:
        return last_query
    return q


@app.get("/items/")
async def read_query(
    query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):