How to use the hub.s3 function in hub

def test_s3_right_creds():
    try:
        bucket = hub.s3("snark-test", aws_creds_filepath=".secrets/s3").connect()
        bucket.blob_set("temporary_blob.txt", bytes(1))
        bucket.blob_get("temporary_blob.txt")
    except:
        pytest.fail("Unexpected error.. could not connect to s3")

def test_s3_wrong_creds():
    with open("./data/cache/wrong_creds.txt", "w") as f:
        f.write("empty")
    with pytest.raises(Exception):
        bucket = hub.s3(
            "snark-test", aws_creds_filepath="./data/cache/wrong_creds.txt"
        ).connect()
        bucket.blob_set("temporary_blob.txt", bytes(1))
        bucket.blob_get("temporary_blob.txt")

def test_s3_blob():
    bucket = hub.s3("snark-test", aws_creds_filepath=".secrets/s3").connect()
    bucket.blob_set("temporary_blob.txt", bytes(1))
    text = bucket.blob_get("temporary_blob.txt")
    assert text == bytes(1)

def test_s3_delete_item():
    bucket = hub.s3("snark-test", aws_creds_filepath=".secrets/s3").connect()
    bucket.delete(name="test_array")
    with pytest.raises(Exception):
        bucket.open(name="test/example:5")

import hub
import numpy as np
import sys, os, time, random, uuid, itertools, json, traceback, io

# Create
conn = hub.s3(
    'waymo-dataset-upload', 
    aws_creds_filepath='.creds/aws.json'
    ).connect()


x = conn.array_create(
    shape = (50000, 250, 250, 3),
    chunk=(4, 250, 250, 3),
    name= os.path.join('test', f'{int(time.time())}'),
    dtype='uint8',
)

# Upload
x[0] = np.ones((250, 250, 3), dtype='uint8')

# Download

def conn_setup(bucket: str = 'waymo-dataset-upload') -> hub.Bucket:
    return hub.s3(bucket=bucket, aws_creds_filepath='.creds/aws.json').connect()