Hi ,
I updated the code , and currently is working fine
Anyway thank you for your help :)
Regards ,
Aurora
On Tue, 1 Jun 2021 at 9:59 PM, Joel Tanko <7thog...@gmail.com> wrote:
> For someone new to programming, that's a bit complicated for you don't you
> think?
>
> Your problem lies in your "with" block
>
> with open('CONFIG.csv') as f:
> reader = csv.reader(f)
> return [col for row in reader for col in row]
>
> 1. You can only return once and then the function is exited, even if your
> code worked you'd get a generator object in a list
>
> 2. reader isn't accessible outside the with context, same as every context
> variable
>
>
> You can rewrite it as
>
>
> 1.
>
> ls = []
>
> with open('CONFIG.csv') as f:
>
> reader = csv.reader(f)
>
> ls.append(col for row in reader for col in row)
>
> return ls
>
>
> 2.
>
> file = open('CONFIG.csv')
> reader = csv.reader(file)
>
>
> return [col for row in reader for col in row]
>
>
> On Tuesday, 1 June 2021, Aurora Eugene <auroraeugen...@gmail.com> wrote:
>
>> Hi All,
>>
>> I Am new to concepts of programming, just started learning with Python.
>> Started writing a program for multiprocessing using Python . The program is
>> to print contents of CSV file parallel.
>>
>> CSV file contains :
>>
>> folder path, EXTENSION
>>
>> for example
>>
>> C:\users , .CSV
>> C:\Windows, .PDF
>>
>> etc
>>
>> so, the CSV file will contain more than 200 folder paths and their
>> extensions. What I have to do in code is I should loop through the CSV file
>> and print the contents of the CSV file parallelly by assigning it to
>> workers in a POOL
>>
>> So below is my Code, but it throws "I/O operation on closed file", Can
>> anyone help me to figure out this issue?
>>
>> Thanks in Advance.
>>
>> Code :
>>
>>
>> def folderStatistic(t):
>> j, dir_name = t
>> print(t) # just need to print contents of CSV file here . Dynamically
>> #have furthur operation to be performed using extension and filename
>>
>> def get_directories():
>> with open('CONFIG.csv') as f:
>> reader = csv.reader(f)
>> return [col for row in reader for col in row]
>>
>> def folderstatsMain():
>> freeze_support()
>> start = time.time()
>> pool = Pool()
>> worker = partial(folderStatistic)
>> pool.map(worker, enumerate(get_directories()))
>>
>> def datatobechecked():
>> try:
>> folderstatsMain()
>> except Exception as e:
>> # pass
>> print(e)
>>
>> if __name__ == '__main__':
>> datatobechecked()
>>
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