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Performance testing script
Could be deleted later, no real functionality
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petr.kalis
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pype/tests/test_mongo_performance.py
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232
pype/tests/test_mongo_performance.py
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import pytest
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import logging
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from pprint import pprint
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import os
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import re
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import random
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import timeit
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import pymongo
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import bson
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class TestPerformance():
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'''
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Class for testing performance of representation and their 'files' parts.
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Discussion is if embedded array:
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'files' : [ {'_id': '1111', 'path':'....},
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{'_id'...}]
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OR documents:
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'files' : {
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'1111': {'path':'....'},
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'2222': {'path':'...'}
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}
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is faster.
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Current results: without additional partial index documents is 3x faster
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With index is array 50x faster then document
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Partial index something like:
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db.getCollection('performance_test').createIndex
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({'files._id': 1},
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{partialFilterExpresion: {'files': {'$exists': true}})
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!DIDNT work for me, had to create manually in Compass
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'''
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MONGO_URL = 'mongodb://localhost:27017'
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MONGO_DB = 'performance_test'
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MONGO_COLLECTION = 'performance_test'
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inserted_ids = []
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def __init__(self, version='array'):
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'''
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It creates and fills collection, based on value of 'version'.
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:param version: 'array' - files as embedded array,
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'doc' - as document
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'''
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self.client = pymongo.MongoClient(self.MONGO_URL)
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self.db = self.client[self.MONGO_DB]
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self.collection_name = self.MONGO_COLLECTION
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self.version = version
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if self.version != 'array':
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self.collection_name = self.MONGO_COLLECTION + '_doc'
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self.collection = self.db[self.collection_name]
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self.ids = [] # for testing
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self.inserted_ids = []
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def prepare(self, no_of_records=100000):
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'''
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Produce 'no_of_records' of representations with 'files' segment.
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It depends on 'version' value in constructor, 'arrray' or 'doc'
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:return:
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'''
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print('Purging {} collection'.format(self.collection_name))
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self.collection.delete_many({})
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id = bson.objectid.ObjectId()
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insert_recs = []
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for i in range(no_of_records):
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file_id = bson.objectid.ObjectId()
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file_id2 = bson.objectid.ObjectId()
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file_id3 = bson.objectid.ObjectId()
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self.inserted_ids.extend([file_id, file_id2, file_id3])
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document = {"files": self.get_files(self.version, i,
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file_id, file_id2, file_id3)
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,
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"context": {
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"subset": "workfileLookdev",
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"username": "petrk",
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"task": "lookdev",
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"family": "workfile",
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"hierarchy": "Assets",
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"project": {"code": "test", "name": "Test"},
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"version": 1,
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"asset": "Cylinder",
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"representation": "mb",
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"root": "C:/projects"
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},
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"dependencies": [],
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"name": "mb",
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"parent": {"oid": '{}'.format(id)},
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"data": {
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"path": "C:\\projects\\Test\\Assets\\Cylinder\\publish\\workfile\\workfileLookdev\\v001\\test_Cylinder_workfileLookdev_v001.mb",
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"template": "{root}\\{project[name]}\\{hierarchy}\\{asset}\\publish\\{family}\\{subset}\\v{version:0>3}\\{project[code]}_{asset}_{subset}_v{version:0>3}<_{output}><.{frame:0>4}>.{representation}"
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},
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"type": "representation",
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"schema": "pype:representation-2.0"
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}
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insert_recs.append(document)
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print('Prepared {} records in {} collection'.format(no_of_records, self.collection_name))
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id = self.collection.insert_many(insert_recs)
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# TODO refactore to produce real array and not needeing ugly regex
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self.collection.insert_one({"inserted_id" : self.inserted_ids})
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print('-' * 50)
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def run(self, queries=1000, loops=3):
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'''
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Run X'queries' that are searching collection Y'loops' times
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:param queries: how many times do ..find(...)
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:param loops: loop of testing X queries
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:return: None
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'''
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print('Testing version {} on {}'.format(self.version, self.collection_name))
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inserted_ids = list(self.collection.find({"inserted_id":{"$exists":True}}))
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import re
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self.ids = re.findall("'[0-9a-z]*'", str(inserted_ids))
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import time
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found_cnt = 0
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for _ in range(loops):
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start = time.time()
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for i in range(queries):
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val = random.choice(self.ids)
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val = val.replace("'",'')
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#print(val)
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if (self.version == 'array'):
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# prepared for partial index, without 'files': exists
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# wont engage
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found = self.collection.find_one({'files': {"$exists": True},
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'files._id': "{}".format(val)})
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else:
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key = "files.{}".format(val)
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found = self.collection.find_one({key: {"$exists": True}})
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if found:
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found_cnt += 1
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end = time.time()
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print('duration per loop {}'.format(end - start))
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print("found_cnt {}".format(found_cnt))
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def get_files(self, mode, i, file_id, file_id2, file_id3):
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'''
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Wrapper to decide if 'array' or document version should be used
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:param mode: 'array'|'doc'
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:param i: step number
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:param file_id: ObjectId of first dummy file
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:param file_id2: ..
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:param file_id3: ..
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:return:
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'''
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if mode == 'array':
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return self.get_files_array(i, file_id, file_id2, file_id3)
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else:
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return self.get_files_doc(i, file_id, file_id2, file_id3)
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def get_files_array(self, i, file_id, file_id2, file_id3):
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return [
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{
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"path":"c:/Test/Assets/Cylinder/publish/workfile/workfileLookdev/v001/test_CylinderA_workfileLookdev_v{0:03}.mb".format(i),
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"_id": '{}'.format(file_id),
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"hash":"temphash",
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"sites":["studio"],
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"size":87236
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},
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{
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"path": "c:/Test/Assets/Cylinder/publish/workfile/workfileLookdev/v001/test_CylinderB_workfileLookdev_v{0:03}.mb".format(
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i),
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"_id": '{}'.format(file_id2),
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"hash": "temphash",
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"sites": ["studio"],
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"size": 87236
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},
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{
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"path": "c:/Test/Assets/Cylinder/publish/workfile/workfileLookdev/v001/test_CylinderC_workfileLookdev_v{0:03}.mb".format(
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i),
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"_id": '{}'.format(file_id3),
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"hash": "temphash",
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"sites": ["studio"],
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"size": 87236
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}
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]
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def get_files_doc(self, i, file_id, file_id2, file_id3):
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ret = {}
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ret['{}'.format(file_id)] = {
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"path": "c:/Test/Assets/Cylinder/publish/workfile/workfileLookdev/v001/test_CylinderA_workfileLookdev_v{0:03}.mb".format(
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i),
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"hash": "temphash",
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"sites": ["studio"],
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"size": 87236
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}
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ret['{}'.format(file_id2)] = {
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"path": "c:/Test/Assets/Cylinder/publish/workfile/workfileLookdev/v001/test_CylinderB_workfileLookdev_v{0:03}.mb".format(i),
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"hash": "temphash",
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"sites": ["studio"],
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"size": 87236
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}
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ret['{}'.format(file_id3)] = {
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"path": "c:/Test/Assets/Cylinder/publish/workfile/workfileLookdev/v001/test_CylinderC_workfileLookdev_v{0:03}.mb".format(i),
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"hash": "temphash",
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"sites": ["studio"],
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"size": 87236
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}
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return ret
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if __name__ == '__main__':
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tp = TestPerformance('array')
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tp.prepare() # enable to prepare data
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tp.run(1000, 3)
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print('-'*50)
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tp = TestPerformance('doc')
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tp.prepare() # enable to prepare data
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tp.run(1000, 3)
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