我正在尝试缓存一些使用Yii框架1.1.12从数据库中检索到的结果。简而言之,我就是这么做的: public static function getCategories() { if (self::$_categories !== null) return self::$_categories; print "Getting categories..."; self::$_categories = Yii::app()->cache->get("categoriesList"); i...
print execute_query # 输出<functioninner at0x1025de6e0>printexecute_query('select * from test')# 输出 hit db # 输出 result printexecute_query('select * from test')# 输出 result 第一个print出来的结果是存在问题的,我们调用的是execute_query,然而输出的函数名确实inner。所以这就需要update_wrapper...
<function <lambda> at 0x0000000002E53CF8> map() 根据提供的函数对指定序列做映射,并返回一个新的序列 函数语法:map(function, iterable, ...) function -- 函数 iterable -- 一个或多个序列 eg. 1 2 3 4 5 6 7 8 >>>defx(s): returns+1 >>>map(x,[1,2,3])#包含一个参数 [2,3,4] ...
Python Go JavaScript dotnet PUT https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/myResourceGroup/providers/Microsoft.Compute/virtualMachines/myVM?api-version=2024-11-01 { "location": "westus", "properties": { "hardwareProfile": { "vmSize": "Standard_D2s_v3" },...
print(aMutatorCmd) log.info('Update substance '+aPackagePath) subprocess.check_call(aMutatorCmd) log.info('=> All packages have been updated using the Mutator Batch Tool') returnTrue exceptBaseException as error: log.error("!!! [demoUpdatePackagesVersion] Failed to update a package") ...
The goal of this library is to extend the Python Pandas to_sql() function to be: Muti-threaded (improving time-to-insert on large datasets) Allow the to_sql() command to run an 'insert if does not exist' to the database Perform the data duplication check 'in-memory' ...
已提升 std::function 複製建構函式的速度;由於縮減了程式碼產生的大小,因此會稍微快一點。 已改善 NuGet 中的 [更新]、[已安裝] 和 [合併] 索引標籤中的效能;還原和更新動作;以及支援 gzip 壓縮之存放庫 (例如 NuGet.org) 的查詢速度。 已改善工作階段中的初始自動完成清單叫用,現在程式碼片段的列舉已變...
"functionAppScaleLimit": 0, "functionsRuntimeScaleMonitoringEnabled": false, "minimumElasticInstanceCount": 0, "azureStorageAccounts": {} }, "scmSiteAlsoStopped": false, "clientAffinityEnabled": true, "clientCertEnabled": false, "clientCertMode": "Required", "hostNamesDisabled": false, "cust...
python3.5/site-packages/redis_cache/serializers.py:42: RuntimeWarning: Pickled queryset instance's Django version 1.10.6 does not match the current version 1.11.4. return pickle.loads(force_bytes(value)) Unhandled exception in thread started by <function check_errors.<locals>.wrapper at 0x7f...
I try the demo code: from tqdm import trange from time import sleep for i in trange(10, desc='1st loop'): for j in trange(5, desc='2nd loop', leave=False): for k in trange(100, desc='3nd loop'): sleep(0.01) and I get a new line per updat...