minuet | use library to perform NLP sequence tagging tasks | Machine Learning library

This is because you are seeing the output directly from the console, and the variable is a string so python adds the quotation marks to let you know.

To remove them:

Explicit wait: Explicit waits are available to Selenium clients for imperative, procedural languages. They allow your code to halt program execution, or freeze the thread, until the condition you pass it resolves. The condition is called with a certain frequency until the timeout of the wait is elapsed. This means that for as long as the condition returns a falsy value, it will keep trying and waiting.

I have added explicit wait to the code.

replace

if you use for loop in stream builder its will increase your read so for avoiding to this issue not use for loop because you using list view builder already and stream builder also act like that loop. hope my suggestion will solve your problem.

Ok, the long and short of this answer is that it uses 2 functions to help..

1. countDown: this function takes in a functionwhileCountingDown, a numberforHowLong, then another functionwhenFinishedThen
whileCountingDown being triggered EACH second with the parameter being the amount of time left in seconds
   forHowLong is the amount of seconds this countdown will last
   whenFinishedThen is a function that activates AFTER the countdown is over.. it can be anything(like making a new countdown as well)

2. timeParse: this function takes in a numberseconds and then returns a string that looks like a more human version of time
   eg: timeParse(108010), 108010 is 30 hours and 10 seconds, and it would return "1 day, 6 hours, 0 minutes"

The combination of these functions are able to have a countdown system working very well.. I ALSO DO NOT KNOW WHERE YOU GET YOUR FUTURE TIME FROM,
but if you get it in a timestamp format(like 1611860671302, a value that I copied from new Date().getTime() as I was typing this),
the line where you see 30*3600, replace that line with ((dateStamp-new Date().getTime())/1000).toFixed(0)

IIUC, You could do group by id and a frequency of 5 minutes, count the number of times 3 consecutives requests appear and then cumsum on that result:

UPDATE:

I figured out a way to do this finally. I replaced the whole scheduler module with APScheduler

A snippet from my code:

Your issue is because you're converting both inputs to floats, and then ints. int(787.5) is 787 and int(3.5) is 3. If you type those numbers into a calculator you'll see 787/3 gets you the result you're seeing.

Leave the input as a float.

I think Option (2) is the "correct way", you may optimize it a bit:

BaseSensorOperator supports poke_interval, so it should be usable for S3KeySensor to increase the time between tries.

Poke_interval - Time in seconds that the job should wait in between each tries

Additionally, you could try to use mode and switch it to reschedule:

mode: How the sensor operates. Options are: { poke | reschedule }, default is poke. When set to poke the sensor is taking up a worker slot for its whole execution time and sleeps between pokes. Use this mode if the expected runtime of the sensor is short or if a short poke interval is required. Note that the sensor will hold onto a worker slot and a pool slot for the duration of the sensor's runtime in this mode. When set to reschedule the sensor task frees the worker slot when the criteria is not yet met and it's rescheduled at a later time. Use this mode if the time before the criteria is met is expected to be quite long. The poke interval should be more than one minute to prevent too much load on the scheduler.

Not sure about Airflow 1.8.0 - couldn't find the old documentation (I assume poke_interval is supported, but not mode).