queue

I have a command that takes in a number of days as an option. I did not see anywhere in the scheduler docs how to pass in options. Is it possible to pass options in to the command scheduler? Here is my command with a days option: php artisan users:daysInactiveInvitation --days=30 Scheduled it would be: $schedule->command('users:daysInactiveInvitation')->daily(); Preferably I could pass in the option something along the lines of: $schedule->command('users:daysInactiveInvitation')->daily()->options(['days'=>30]); You can just supply them in the command() function. The string given is literally

Suppose I have a data.table where each row consists of two vectors: A 'pre-subtraction' vector. A 'post-subtraction' vector. The pre-subtraction is the left-half most column and the post- is the right-most columns, with the suffix "prm" at the end. For example: #Sample Data set.seed(2) fill = data.table(n=1:7) Tp=3 for(t in 1:Tp){ set(x = fill, j = paste0('v',t), value = sample(0:10,7)) } fill[1,paste0('v',3):=0] fill[5,paste0('v',2):=0] fill[5,paste0('v',3):=0] for(t in 1:Tp){ fill[,paste0('v',t,'prm'):=get(paste0('v',t))] } fill[1,paste0('v',1,'prm'):=0] fill[2,paste0('v',2,'prm'):=1] fill[5

Lets say I have a big list of music of varying length that needs to be converted or images of varying sizes that need to be resized or something like that. The order doesn't matter so it is perfect for splitting across multiple processors. If I use multiprocessing.Pool's map function it seems like all the work is divided up ahead of time and doesn't take into account the fact that some files may take longer to do that others. What happens is that if I have 12 processors... near the end of processing, 1 or 2 processors will have 2 or 3 files left to process while other processors that could be

I'm currently launching a subprocess and parsing stdout on the go without waiting for it to finish to parse stdout. for sample in all_samples: my_tool_subprocess = subprocess.Popen('mytool {}'.format(sample),shell=True, stdout=subprocess.PIPE) line = True while line: myline = my_tool_subprocess.stdout.readline() #here I parse stdout.. In my script I perform this action multiple times, indeed depending on the number of input samples. Main problem here is that every subprocess is a program/tool that uses 1 CPU for 100% while it's running. And it takes sometime.. maybe 20-40 min per input. What I

I want to create a blocking queue which blocks producer on the basis of customized rules instead of number of items in the queue. For example: Producer produces some files and puts into a queue. Consumer transfers them to a specific location after some analysis. For above scenario, I want producer waiting to produce new files if the size of total files in the queue reaches some threshold value. Queue can accept any number of files if the total size don't cross threshold value. I would probably subclass a BlockingQueue such as the ArrayBlockingQueue and add a simple CountDownLatch which is

I have a Download Queue implemented with BlockingCollection<> . Now I want to prioritize some Download once in a while. I thought it might be great to move some elements 'up' the Collection, like in a list, but there is no method like Remove()/AddFirst() or Move(). What's the preferred way of arranging items in a BlockingCollection<> ? BlockingCollection<T> works by wrapping an internal IProducerConsumerCollection<T> . The default is to use a ConcurrentQueue<T> internally, but you can provide your own implementation via this constructor . If you provide your own threadsafe collection, you can

One basic argument to use a Queue over an ArrayList is that Queue guarantees FIFO behavior. But if I add 10 elements to an ArrayList and then iterate over the elements starting from the 0th element, then I will retrieve the elements in the same order as they were added. So essentially, that guarantees a FIFO behavior. What is so special about Queue as compared to traditional ArrayList? Lee Martie If I gave you a Queue instance then you would know that by iteratively calling remove() you would retrieve the elements in FIFO order. If i gave you an ArrayList instance then you can make no such