process | simple Go package for working with unix processes | Monitoring library
kandi X-RAY | process Summary
kandi X-RAY | process Summary
process is a simple Go package for working with unix processes. For an example into what process is capable of doing, check out gobeat:
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Top functions reviewed by kandi - BETA
- FindByPid finds the process by PID
- FindByName finds a process by name .
- StartTty starts the process with the given tty file descriptor .
process Key Features
process Examples and Code Snippets
Community Discussions
Trending Discussions on process
QUESTION
I found ways to check with python using library win32com for outlook the following attributes for any given email.
...ANSWER
Answered 2021-Jun-16 at 03:53- Use
MailItem.Recipients
collection. - See #1 and check for each recipient's
Recipient.Type
property equalolCC
( =2) - Of course - set the
MailItem.Categpries
property. Don't forget to callMailItem.Save
- Use the
MailItem.SenderEmailAddress
. For the sent on behalf of address, read thePR_SENT_REPRESENTING_EMAIL_ADDRESS
MAPI property. Access it usingMailItem.PropertyAccessor.GetProperty("http://schemas.microsoft.com/mapi/proptag/0x0065001F")
In general, take a look at various Outlook object using OutlookSpy to familiarize yourself with the Outlook Object Model.
Also keep in mind that to access a subfolder of the Inbox folder, it is better to use something like
QUESTION
Would be great if someone can help me understand how flock functions. Lets says I have the below scenario:
...ANSWER
Answered 2021-Jun-16 at 02:07I tried testing this scenarios with a working example script and I found that the waiting jobs are processed in a random manner.
QUESTION
I'm trying to understand how parallelization works in Durable Function. I have a durable function with the following code:
...ANSWER
Answered 2021-Jun-10 at 08:44There are two approaches that are possible. The first is to use a suborchestrator for each job so that each suborchestrator handles just a specific job. Here is the docs for this approach https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-sub-orchestrations?tabs=csharp Example from docs seem to be alike to yours.
The other is to use ContinueWith so that each job has its own "chain"
QUESTION
I understand that after calling fork() the child process inherits the per-process file descriptor table of its parent (pointing to the same system-wide open file tables). Hence, when opening a file in a parent process and then calling fork(), both the child and parent can write to that file without overwriting one another's output (due to a shared offset in the open-file table entry).
However, suppose that, we call open() on some file after a fork (in both the parent and the child). Will this create a separate entries in the system-wide open file table, with a separate set of offsets and read-write permission flags for the child (despite the fact that it's technically the same file)? I've tried looking this up and I don't seem to be able to find a clear answer.
I'm asking this mainly since I was playing around with writing to files, and it seems like only one the outputs of the parent and child ends up in the file in the aforementioned situation. This seemed to imply that there are separate entries in the open file table for the two separate open calls, and hence separate offsets, so the slower process overwrites the output of the other process.
To illustrate this, consider the following code:
...ANSWER
Answered 2021-May-03 at 20:22There is a difference between a file and a file descriptor (FD).
All processes share the same files. They don't necessarily have access to the same files, and a file is not its name, either; two different processes which open the same name might not actually open the same file, for example if the first file were renamed or unlinked and a new file were associated with the name. But if they do open the same file, it's necessarily shared, and changes will be mutually visible.
But a file descriptor is not a file. It refers to a file (not a filename, see above), but it also contains other information, including a file position used for and updated by calls to read
and write
. (You can use "positioned" read and write, pread
and pwrite
, if you don't want to use the position in the FD.) File descriptors are shared between parent and child processes, and so the file position in the FD is also shared.
Another thing stored in the file descriptor (in the kernel, where user processes can't get at it) is the list of permitted actions (on Unix, read, write, and/or execute, and possibly others). Permissions are stored in the file directory, not in the file itself, and the requested permissions are copied into the file descriptor when the file is opened (if the permissions are available.) It's possible for a child process to have a different user or group than the parent, particularly if the parent is started with augmented permissions but drops them before spawning the child. A file descriptor for a file opened in this manner still has the same permissions uf it is shared with a child, even if the child would itself be able to open the file.
QUESTION
I am a beginner in Data Science, so please sorry if my mistake is dumb.
Here, I have a loop which views my data frame and makes changes using .loc The problem is that the changes are not saved at the end. I checked every step, everything is processing right. I even checked the modified cell right after working on it (look below) and its gives the value I put into it. However, when the program finishes the my excel data frame is not changed at all.
Help please. Thank you in advance!
...ANSWER
Answered 2021-Jun-13 at 21:56when the program finishes my excel data frame is not changed at all.
That's because you never wrote anything to the Excel file. With exc = pd.read_excel('...')
you create a Python object exc
(more specifically, a pandas DataFrame), and all the subsequent modifications happen to this object. To change the source file accordingly, you can use pandas' DataFrame.to_excel()
method, by adding this line in the end:
QUESTION
I have this code which prints multiple tables
...ANSWER
Answered 2021-Jun-15 at 20:59So, this is a good opportunity to use purrr::map
. You are half way there by applying code to one dataframe.
You can take the code that you have written above and put it into a function.
QUESTION
I am using the code below to create a list of sentences from a file document. The function will return a list of sentences.
...ANSWER
Answered 2021-Jun-15 at 22:00sentences
is a list per your function.
You may want to change your return statement to return a string instead.
The full function would therefore look like:
QUESTION
I have the below requirement . i am trying to run the condition in loop and its taking more time. is there a one time command anything which will not take more time to process a 70 MB file.
Requirement: if @pRECTYPE="SBSB" line contains @pSBEL_MCTR_RSN="XXX" tag then we need to copy and append that to next @pRECTYPE="SBEL record at the end of the line
File :note : in file there will be no blank lines. I have given enter to avoid line continuation
@pRUKE=dfgt@pRECTYPE="SMDR", @pCONFIG="Y" XXXXXXX
@pRUKE=dfgt@pRECTYPE="SBSB", @pGWID="1234", @pSBEL_MCTR_RSN="KX28", @pSBSB_9000_COLL=""
@pRUKE=dfgt@pRECTYPE="KBSG", @pKBSG_UPDATE_CD="IN", XXXXXXXXXXX
@pRUKE=dfgt@pRECTYPE="SBEL", @pSBEL_EFF_DT="01/01/2017", @pCSPI_ID="JKOX0001", @pSBEL_FI="A"
@pRUKE=dfgt@pRECTYPE="SBEK", @pSBEK_UPDATE_CD="IN",XXXXXXXXXXXXXXXXXXX
@pRUKE=dfgt@pRECTYPE="DBCS", @pDBCS_UPDATE_CD="IN",XXXXXXXXXXXXXXXXXXXXXXXXXX
@pRUKE=dfgt@pRECTYPE="MEME", @pMEME_REL="18", @pMEEL_MCTR_RSN="KX28"
@pRUKE=dfgt@pRECTYPE="ATT0", @pATT0_UPDATE_CD="AP",XXXXXXXXX
@pRUKE=dfgt@pRECTYPE="SBSB", @pGWID="1234", @pSBEL_MCTR_RSN="KX28", @pSBSB_9000_COLL=""
@pRUKE=dfgt@pRECTYPE="KBSG", @pKBSG_UPDATE_CD="IN", XXXXXXXXXXX
example :
Before : @pRUKE=dfgt@pRECTYPE="SMDR", @pCONFIG="Y" XXXXXXX
@pRUKE=dfgt@pRECTYPE="SBSB", @pGWID="1234", @pSBEL_MCTR_RSN="KX28", @pSBSB_9000_COLL=""
@pRUKE=dfgt@pRECTYPE="KBSG", @pKBSG_UPDATE_CD="IN", XXXXXXXXXXX
@pRUKE=dfgt@pRECTYPE="SBEL", @pSBEL_EFF_DT="01/01/2017", @pCSPI_ID="JKOX0001", @pSBEL_FI="A"
After:
@pRUKE=dfgt@pRECTYPE="SMDR", @pCONFIG="Y" XXXXXXX
@pRUKE=dfgt@pRECTYPE="SBSB", @pGWID="1234", @pSBEL_MCTR_RSN="KX28", @pSBSB_9000_COLL=""
@pRUKE=dfgt@pRECTYPE="KBSG", @pKBSG_UPDATE_CD="IN", XXXXXXXXXXX
@pRUKE=dfgt@pRECTYPE="SBEL", @pSBEL_EFF_DT="01/01/2017", @pCSPI_ID="JKOX0001", @pSBEL_FI="A", @pSBEL_MCTR_RSN="KX28"
if after SBSB, if there is no SBEL, then that SBSB can be ignored.
what i did is egrep -n "pRECTYPE="SBSB"|pRECTYPE="SBEL"" filename | sed '$!N;/pRECTYPE="SBEL"/P;D' | awk -F: '{print $1}' | awk 'NR%2{printf "%s,",$0;next;}1' > 4.txt;
by this i will get the line number eg: 2,4 17,19
line 9 12 14 will be ignored
while read line do
...ANSWER
Answered 2021-Jun-15 at 20:47For performance, you need to really limit how many external tools you invoke inside a loop in a shell script.
This requires GNU awk:
QUESTION
I'm trying to use BS4 to parse through the HTML for an about page on a youtube channel so I can scrape the number of channel views. Below is the code to scrape the channel views (located in the 'yt-formatted-string') and also the whole right column of the page. Both lines of code return either an empty list and a "None" value for the findAll() and find() functions, respectively.
I read another thread saying I may be receiving an empty list or "None" value because the page is accessing an API to get the total channel views to count and the values aren't actually in the HTML I'm parsing.
I know I could access much of this info through the Youtube API, but I want to iterate this code over multiple channels that are not my own. Moreover, I want to understand how to use BS4 to its full extent so I can replicate this process on an Instagram page or Facebook page.
Should I be using a different library that isn't BS4? Is what I'm looking to accomplish even possible?
My CODE
...ANSWER
Answered 2021-Jun-15 at 20:43YouTube is loaded dynamically, therefore urlib
won't support it.
However, the data is available in JSON format on the website. You can convert this data to a Python dictionary (dict
) using the built-in json
library.
This example is using the URL you have provided: https://www.youtube.com/c/Rozziofficial/about, you can change the channel name, it will work for all channels.
Here's an example using requests
, you can use urlib
instead:
QUESTION
I'm attempting to write a scraper that will download attachments from an outlook account when I specify the path to folder to download from. I have working code but the folder locations are hardcoded as below:-
...ANSWER
Answered 2021-Jun-15 at 20:37You can do this as a reduction over foldernames
using getattr
to dynamically get the next attribute.
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