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# Sorry for the scrappiness of this. It's supposed to be scrappy.
import time
from botocore.exceptions import ClientError
import boto3
import boto3.session
# boto3.set_stream_logger('')
session = boto3.session.Session()
s3 = session.client('s3')
B = 'symbols-public-dev'
K_base = 'test_boto3_issue_1128/test_boto3_issue_1128_{}.txt'
def _key_existing_size__list(client, bucket, key):
"""return the key's size if it exist, else None"""
response = client.list_objects_v2(
for obj in response.get('Contents', []):
if obj['Key'] == key:
return obj['Size']
def _key_existing_size__head(client, bucket, key):
obj = client.head_object(Bucket=bucket, Key=key)
return obj['ContentLength']
except ClientError as exc:
if exc.response['Error']['Code'] != '404':
import random
functions = [_key_existing_size__list, _key_existing_size__head]
times = {k.__name__: [] for k in functions}
for i in range(1000):
K = K_base.format(i)
t0 = time.time()
func = random.choice(functions)
size = func(s3, B, K)
if size is not None:
print("EXISTED ALREADY", repr(size))
t1 = time.time()
print("DID NOT EXIST")
t1 = time.time()
s3.put_object(Bucket=B, Key=K, Body=b'asdfasdf')
times[func.__name__].append(t1 - t0)
import statistics
for name, numbers in times.items():
print('FUNCTION:', name, 'Used', len(numbers), 'times')
print('\tSUM ', sum(numbers))
print('\tMEAN ', statistics.mean(numbers))
print('\tMEDIAN', statistics.median(numbers))
print('\tSTDEV ', statistics.stdev(numbers))
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