slidingwindow | Golang implementation of Sliding Window Algorithm

Hello I need to iterate over pairs of files and do something with them.

For example I have 4 files which are named AA2234_1.fastq.gz AA2234_2.fastq.gz AA3945_1.fastq.gz AA3945_2.fastq.gz

As you can propably tell the pairs are AA2234_1.fastq.gz <-> AA2234_2.fastq.gz and AA3945_1.fastq.gz <-> AA3945_2.fastq.gz (they share the name before _ sign)

I have a command with syntax looking like this:

initialize_of_command file1 file2 output_a output_b output_c output_d parameteres

I want this script to find the number of files with fastq.gz extension in a directory, divide them by 2 to find number of pairs then match the pairs together using probably regex (maybe to two variables) and execute this command for each pair once.

I have no idea how to pair up those files using regex and how to iterate over the pairs so the scripts knows through which pairs it have already iterated.

Here is my unfinished script:

This is an extension of a question I asked yesterday. I have looked all over StackOverflow and have not found an instance of this specific NameError:

I am trying to do QC on RNAseq data that is tarballed. I am using Snakemake as a workflow manager and am aware that Snakemake does not like one-to-many rules. I defining a checkpoint would fix the problem but when I run the script I get this this error message with rule fastqc.

The code works when the day1.js script is loaded in the index and if a certain snippet from the HTML template is pasted into the file, but it doesn't work when I switch to the page using ng-view with the same code. There is nothing in my day1controller. I'm pretty lost at this point and would appreciate some insight.

I keep getting the error

day1.js:5 Uncaught TypeError: Cannot read properties of null (reading 'addEventListener')

Here is my index:

My stream analytics is ingesting a stream of messages of different types. Some are of type: telemetry, others are of type: flags. I need to calculate the average of over a moving window of some telemetry values but only consider those values that are preceded by a flag message with a value of true.

Put another way: the flag message turns on/off whether or not the telemetry is considered for calculation of the average.

I have tried the following query:

I have created a dropdown menu

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• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04
• TensorFlow installation (pip package or built from source): Pip (python 3.8.8)
• TensorFlow library (version, if pip package or github SHA, if built from source): 2.3.0 (TF Base), 2.4.0 (TF-GPU)

Part 1, converting pretrained TF model to TF Lite Model:

Having trouble with CUDA + Pytorch this is the error. I reinstalled CUDA and cudnn multiple times.

Conda env is detecting GPU but its giving errors with pytorch and certain cuda libraries. I tried with Cuda 10.1 and 10.0, and cudnn version 8 and 7.6.5, Added cuda to path and everything.

However anaconda is showing cuda tool kit 9.0 is installed, whilst I clearly installed 10.0, so I am not entirely sure what's the deal with that.

I am trying to write an unbounded ping pipeline that takes output from a ping command and parses it to determine some statistics about the RTT (avg/min/max) and for now, just print the results.

I have already written an unbounded ping source that outputs each line as it comes in. The results are windowed every second for every 5 seconds of pings. The windowed data is fed to a Combine.globally call to statefully process the string outputs. The problem is that the accumulators are never merged and the output is never extracted. This means that the pipeline never continues past this point. What am I doing wrong here?