Python Copy # Convert pipeline JSON to Fabric REST API request json_data = json.loads(pipeline_json) # Extract the activities from the JSON activities = json_data["properties"]["activities"] # Prepare the data pipeline JSON definition data = {} activities_list = [] idx = 0 # Name ...
curl -X POST https://api.firecrawl.dev/v1/map \ -H 'Content-Type: application/json' \ -H 'Authorization: Bearer YOUR_API_KEY' \ -d '{ "url": "https://firecrawl.dev", "search": "docs" }' Response will be an ordered list from the most relevant to the least relevant. { "...
# options @Gooey(advanced=Boolean, # toggle whether to show advanced config or not language=language_string, # Translations configurable via json auto_start=True, # skip config screens all together target=executable_cmd, # Explicitly set the subprocess executable arguments program_name='name', # ...
VDK plays an important role in facilitating the seamless integration of Jupyter Notebooks into production pipelines. It is a robust and comprehensive framework designed to simplify the complex process of data ingestion, transformation, and deployment within production pipelines using Python ...
signalingChannel.send(JSON.stringify({'candidate': evt.candidate })); };//let the 'negotiationneeded' event trigger offer generationpc.onnegotiationneeded=function() { pc.createOffer(localDescCreated, logError); }//once remote stream arrives, show it in the remote video elementpc.onaddstream=func...
$ python sqlmap.py -d"mysql://admin:admin@192.168.21.17:3306/testdb"-f--bann\er--dbs --users 目标网址 选项:-u或--url 针对单个目标网址运行sqlmap。该选项需要以下格式的目标网址: http(s)://targeturl[:port]/[...] 例如: $python sqlmap.py -u"http://www.target.com/vuln.php?id=1"...
Python Копировать # Convert pipeline JSON to Fabric REST API request json_data = json.loads(pipeline_json) # Extract the activities from the JSON activities = json_data["properties"]["activities"] # Prepare the data pipeline JSON definition data = {} activities_list = [] idx...
I had an image file on my filesystem and I wanted to put it inside an HTML page using the data-uri format so I could embed it into the page itself.Here’s how I did it:const imageData = fs.readFileSync(fileLocation, 'binary') const src = `data:${contentType};base64,${Buffer...
send(JSON.stringify({ 'candidate': evt.candidate })); }; // let the 'negotiationneeded' event trigger offer generation pc.onnegotiationneeded = function () { pc.createOffer(localDescCreated, logError); } // once remote stream arrives, show it in the remote video element pc.onaddstream = ...
(response); var json_obj = response; for (var i = 0; i < json_obj.msg_custom_field_list.length; i++) { if(json_obj.msg_custom_field_list[i].messages != ""){ if(!$(".message-uid-"+json_obj.msg_custom_field_list[i].id+" .lia-message-body").prev().hasClass("source-...