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QUESTION
I've been searching the forums here for an answer to this, but each solution seems a bit off from what I'm actually experiencing.
Is there a way to make all iframe vimeo videos auto play? We’re using vimeo vids (muted) in place of resource glutton GIFs, but it looks like only one video auto plays, while the others do not, even though they’re all set to auto play and loop.
It’s also odd that it chooses randomly which video it’s going to auto play, and which ones it doesn’t.
Thanks for your suggestions!
...ANSWER
Answered 2019-Jul-17 at 19:17You should make sure those Vimeo embed codes contain the autopause=false parameter. If you have multiple Vimeo videos embedded on a page, only one video will be playable at a time.
Each embed code should look like this:
QUESTION
I'm using "spacy" on python for text documents lemmatization. There are 500,000 documents having size up to 20 Mb of clean text.
The problem is the following: spacy memory consuming is growing in time till the whole memory is used.
2 - BACKGROUNDMy hardware configuration: CPU: Intel I7-8700K 3.7 GHz (12 cores) Memory: 16 Gb SSD: 1 Tb GPU is onboard but is not used for this task
I'm using "multiprocessing" to split the task among several processes (workers). Each worker receives a list of documents to process. The main process performs monitoring of child processes. I initiate "spacy" in each child process once and use this one spacy instance to handle the whole list of documents in the worker.
Memory tracing says the following:
3 - EXPECTATIONS[ Memory trace - Top 10 ]
/opt/develop/virtualenv/lib/python3.6/site-packages/thinc/neural/mem.py:68: size=45.1 MiB, count=99, average=467 KiB
/opt/develop/virtualenv/lib/python3.6/posixpath.py:149: size=40.3 MiB, count=694225, average=61 B
:487: size=9550 KiB, count=77746, average=126 B
/opt/develop/virtualenv/lib/python3.6/site-packages/dawg_python/wrapper.py:33: size=7901 KiB, count=6, average=1317 KiB
/opt/develop/virtualenv/lib/python3.6/site-packages/spacy/lang/en/lemmatizer/_nouns.py:7114: size=5273 KiB, count=57494, average=94 B
prepare_docs04.py:372: size=4189 KiB, count=1, average=4189 KiB
/opt/develop/virtualenv/lib/python3.6/site-packages/dawg_python/wrapper.py:93: size=3949 KiB, count=5, average=790 KiB
/usr/lib/python3.6/json/decoder.py:355: size=1837 KiB, count=20456, average=92 B
/opt/develop/virtualenv/lib/python3.6/site-packages/spacy/lang/en/lemmatizer/_adjectives.py:2828: size=1704 KiB, count=20976, average=83 B
prepare_docs04.py:373: size=1633 KiB, count=1, average=1633 KiB
I have seen a good recommendation to build a separated server-client solution [here]Is possible to keep spacy in memory to reduce the load time?
Is it possible to keep memory consumption under control using "multiprocessing" approach?
4 - THE CODEHere is a simplified version of my code:
...ANSWER
Answered 2019-Apr-25 at 12:06Memory problems when processing large amounts of data seem to be a known issue, see some relevant github issues:
Unfortunately, it doesn't look like there's a good solution yet.
LemmatizationLooking at your particular lemmatization task, I think your example code is a bit too over-simplified, because you're running the full spacy pipeline on single words and then not doing anything with the results (not even inspecting the lemma?), so it's hard to tell what you actually want to do.
I'll assume you just want to lemmatize, so in general, you want to disable the parts of the pipeline that you're not using as much as possible (especially parsing if you're only lemmatizing, see https://spacy.io/usage/processing-pipelines#disabling) and use nlp.pipe to process documents in batches. Spacy can't handle really long documents if you're using the parser or entity recognition, so you'll need to break up your texts somehow (or for just lemmatization/tagging you can just increase nlp.max_length as much as you need).
Breaking documents into individual words as in your example kind of the defeats the purpose of most of spacy's analysis (you often can't meaningfully tag or parse single words), plus it's going to be very slow to call spacy this way.
Lookup lemmatizationIf you just need lemmas for common words out of context (where the tagger isn't going to provide any useful information), you can see if the lookup lemmatizer is good enough for your task and skip the rest of the processing:
QUESTION
Okay so there's been a couple similar questions like mine on this site but since no one has the same code as me my question didn't get answered. I'm trying to teach myself programming and I'm working on this exercise I found online called "Pancake glutton".
So here's my question: With my code both parts of the task can be done, but only as long as the user doesn't input that two or more people ate the same amount of pancakes because then the program outputs that multiple people ate the most/least amount of pancakes which isn't as clean as I'd like it to be. How can I solve this and get my program to have an extra option for multiple people eating the same amount of pancakes? Even just a tiny change so that it says "Person x ate the most, person y ate the least, and person z also ate the least" would be good enough for me..
Here's the "Pancake glutton" exercise: "Write a program that asks the user to enter the number of pancakes eaten for breakfast by 10 different people (Person 1, Person 2, ..., Person 10) Once the data has been entered the program must analyze the data and output which person ate the most pancakes for breakfast.
★ Modify the program so that it also outputs which person ate the least number of pancakes for breakfast."
...ANSWER
Answered 2019-Feb-11 at 14:33Well in the end its not coming down to a difficult algorithm or programming problem, but instead to how complex you want your output to appear (which is done with an appropriate level of if-else functions). E.g. below I showed a relatively simple enumeration solution to your problem - if however you want to have the grammatically complex output you provided you need to check with if-else when there is the case of more than one person having eaten the most/least amount.
A sample solution on how you could modify your code would be (keeping as much of your code as possible):
QUESTION
I'm attempting to write a program that moves zipped files that arrive in a directory, unzips them and then outputs the contents.
...ANSWER
Answered 2018-Feb-14 at 10:50Your main issue is that when you iterate an array like you are doing, you get the first item of the array, not the index. So in your case, $i is not a number, it is the filename (i.e. test1.gz) and it will only see the first file. The cleanest way I have seen to iterate the items in an array would be for i in "${arrayName[@]}".
Also, using '{1}' in your regex is redundant, the character class will already match only 1 character if you don't specify a modifier.
It shouldn't matter depending on the contents of your 'temp' folder, but I would be more specific on your egreps too, if you add -x then it will have to match the whole string. As it is currently, a file called 'not_a_test1' would match.
QUESTION
I'm trying to understand why as behaves differently than nasm when doing syscalls on the assembly level. Because I'm a glutton for punishment, I'm using Intel syntax. Here's my program:
ANSWER
Answered 2017-Nov-08 at 00:01Because it never exits properly. _start doesn't have a parent stack frame, so returning from it will cause a crash.
You can return from main to have the standard library's _start implementation call exit for you, but if you're writing your own _start, you need to call exit yourself, as there's no parent stack frame to return to.
QUESTION
I'm trying to make the program give me the lowest and the highest value in the array.
Here's my code :
...ANSWER
Answered 2017-Jun-01 at 20:32First of all use standard library. It will make your life easier and code safer (and most of the time also faster).
For the array since C++11 you can use std::array, if you are working with the older C++ standard you can use std::vector.
Please note that in your code you are creating array with 10 elements but in the second loop you are iterating 11 times. 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 and... 10.
The value of the a[10] is undefined, it can be anything (random value).
In the first for loop you are setting the values for a[1] (second element), a[2] (third element), ... , a[10] (eleventh element, bad!).
Fix this loops and check what will happen. You can also start "debugging" with something easier than gdb (which is awesome btw. and you should learn it). You can simply print the values (read about std::cout) in every iteration to see when exactly this "random big numbers" are found.
EDIT
QUESTION
I'm trying to make a program which reads a poem from a text file and displays it.
here is my code..
...ANSWER
Answered 2017-May-14 at 10:04That's because fputs expects null terminated string. You can see the reference here
QUESTION
I've looked at all the possible answers on SO and also have read blogs but I think I've messed up pretty bad.
I tried -
git rebase -i upstream/master
and then changing pick to squash after the first line, but I was getting merge conflicts again and again. So finally I read an answer on SO which recommended this -
ANSWER
Answered 2017-Mar-31 at 18:30I start with the upstream repository:
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