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o_guest's profile
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
@o_guest

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Olivia Guest | Ολίβια Γκεστ

@o_guest

• goth gremlin • computational cognitive/neuroscience modeling • geek & techish Cypriot • plant aficionada • came up with #bropenscience • http://neuroplausible.com  •

Τότεναμ, Λονδίνο & Cyprus
olivia.science
Joined October 2015

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    1. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
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      Replying to @draxus

      I have 32 on my machine tho..?

      1 reply 0 retweets 0 likes
    2. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
      • Report Tweet
      Replying to @o_guest @draxus

      I tried with 2 and 4 also just to be clear.

      1 reply 0 retweets 0 likes
    3. Manuel Martín‏ @draxus 6 Apr 2017
      • Report Tweet
      Replying to @o_guest

      I've just seen your code. Not sure if it might be due to apply_async? I usually do this: https://pastebin.com/uJVvpYqv 

      1 reply 0 retweets 1 like
    4. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
      • Report Tweet
      Replying to @draxus

      I'll try your way. But like @seaandsailor was saying it could be that I'm not doing enough on each worker? Turbo thanks for code I'll try. 😅

      1 reply 0 retweets 1 like
    5. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
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      Replying to @o_guest @draxus @seaandsailor

      OK, so I don't actually understand your way, sorry. You have to bear in mind I used multiprocessing for the first time yesterday. ☺️

      1 reply 0 retweets 0 likes
    6. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
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      Replying to @o_guest @draxus @seaandsailor

      for example where you define your arguments why are you using itertools.product?

      1 reply 0 retweets 0 likes
    7. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
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      Replying to @o_guest @draxus @seaandsailor

      does that mean I have to use itertools.combinations? my loop is outside all this... hmm...

      2 replies 0 retweets 0 likes
    8. Manuel Martín‏ @draxus 6 Apr 2017
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      Replying to @o_guest @seaandsailor

      my point is that you don't need to use the loop. I use itertools because I want all combinations of lists A and B.

      1 reply 0 retweets 1 like
    9. Manuel Martín‏ @draxus 6 Apr 2017
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      Replying to @draxus @o_guest @seaandsailor

      map will take care of splitting your array of arguments and combine the results for you.

      1 reply 0 retweets 1 like
    10. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
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      Replying to @draxus @seaandsailor

      oh I see OK lemme try again

      1 reply 0 retweets 0 likes
      Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
      • Report Tweet
      Replying to @o_guest @draxus @seaandsailor

      sorry I don't get how to use combinations to get what I want into a single array — and then the function has to accept the whole array?

      2:48 AM - 6 Apr 2017
      2 replies 0 retweets 0 likes
        1. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
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          Replying to @o_guest @draxus @seaandsailor

          unless I'm mistaken if I compute the array of combinations it'll take ages to get the value of arguments before getting to parallelisation.

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        2. Manuel Martín‏ @draxus 6 Apr 2017
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          Replying to @o_guest @seaandsailor

          nop. In your case you actually need something like: results = mp.starmap(calculate_pairwise_distance, combinations(X,X)).

          2 replies 0 retweets 0 likes
        3. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
          • Report Tweet
          Replying to @draxus @seaandsailor

          OK will keep trying — is this way equivalent to your way? Because sadly it's extremely slow: https://gist.github.com/jfsantos/8184653991558e30a9eab8613a6ea20f …

          1 reply 0 retweets 0 likes
        4. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 6 Apr 2017
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          Replying to @o_guest @draxus @seaandsailor

          ah I think mp.starmap is python 3 😟 sadly python3 is something I haven't got working with numpy

          0 replies 0 retweets 0 likes
        5. End of conversation

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