io

问题 When I run the test cases in python with "python normalizer/setup.py test " I am getting the below exception ResourceWarning: unclosed file <_io.TextIOWrapper name='/Users/workspace/aiworkspace/skillset-normalization-engine/normalizer/lib/resources/skills.taxonomy' mode='r' encoding='utf-8'> In code I am reading a big file like below: def read_data_from_file(input_file): current_dir = os.path.realpath( os.path.join(os.getcwd(), os.path.dirname(__file__))) file_full_path = current_dir+input

问题 When I run the test cases in python with "python normalizer/setup.py test " I am getting the below exception ResourceWarning: unclosed file <_io.TextIOWrapper name='/Users/workspace/aiworkspace/skillset-normalization-engine/normalizer/lib/resources/skills.taxonomy' mode='r' encoding='utf-8'> In code I am reading a big file like below: def read_data_from_file(input_file): current_dir = os.path.realpath( os.path.join(os.getcwd(), os.path.dirname(__file__))) file_full_path = current_dir+input

问题 I understand Java's AsynchronousFileChannel to be an async api (does not block the calling thread) and can use a thread in a system thread pool. My question is: do AsynchronousFileChannel operations have a 1:1 thread ratio? In other words, if a loop use AsynchronousFileChannel to read 100 of files, will it use 100 threads to do that or will it use only a small number of threads (in standard NIO fashion)? 回答1: AsynchronousFileChannel implementation used in general (and actually used e.g. on

问题 I’m writing a C++14 program to load text strings from a file, do some computation on them, and write back to another file. I’m using Linux, and the files are relatively large (O(10^6 lines)). My typical approach to this is to use the old C getline and sscanf utilities to read and parse the input, and fprintf(FILE*, …) to write the output files. This works, but I’m wondering if there’s a better way with the goals of high performance and generally recommended approach with the modern C++

问题 I’m writing a C++14 program to load text strings from a file, do some computation on them, and write back to another file. I’m using Linux, and the files are relatively large (O(10^6 lines)). My typical approach to this is to use the old C getline and sscanf utilities to read and parse the input, and fprintf(FILE*, …) to write the output files. This works, but I’m wondering if there’s a better way with the goals of high performance and generally recommended approach with the modern C++

问题 I have problem where I need to download, unzip, and then process line by line a very large CSV file. I think it's useful to give you an idea how large the file is: big_file.zip ~700mb big_file.csv ~23gb Here's some things I'd like to happen: Don't have to download the whole file before unzipping Don't have to unzip whole file before parsing csv lines Don't use up very much memory/disk while doing all this I don't know if that's possible or not. Here's what I was thinking: require 'open-uri'

问题 I have problem where I need to download, unzip, and then process line by line a very large CSV file. I think it's useful to give you an idea how large the file is: big_file.zip ~700mb big_file.csv ~23gb Here's some things I'd like to happen: Don't have to download the whole file before unzipping Don't have to unzip whole file before parsing csv lines Don't use up very much memory/disk while doing all this I don't know if that's possible or not. Here's what I was thinking: require 'open-uri'

问题 NOTE: C++98 Hi, I'm a little new to c++ and I am writing a databaes program and am attempting to start a timer using the boost::asio package using pthread. The aim of the timer is to start after sql queries have been placed inside a buffer, of which will run an execute function if nothing has been received for a period of time. I have managed to get it to compile, but it doesn't look like the pthread instance is starting. I have called the pthread inside my getInstance method, and the boost:

问题 I wrote this question previously I'm testing SOLID STATE write failure times (c code) and the device isn't failing and it was brilliantly answered by Brendan. I was basically asking about writing to an SD card many times and when it would fail as I am writing an application that will be writing data to an SD card for many years. My follow up question is does wear leveling work at the disk or partition level. If for ease of setting my application up, say i wanted 3 partitions ie for examples

问题 I wrote this question previously I'm testing SOLID STATE write failure times (c code) and the device isn't failing and it was brilliantly answered by Brendan. I was basically asking about writing to an SD card many times and when it would fail as I am writing an application that will be writing data to an SD card for many years. My follow up question is does wear leveling work at the disk or partition level. If for ease of setting my application up, say i wanted 3 partitions ie for examples