isaac | In Situ Animation of Accelerated Computations microscope | Machine Learning library
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In Situ Animation of Accelerated Computations.
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QUESTION
I have the following dummy data:
...ANSWER
Answered 2021-Jun-14 at 14:38here is one way :
QUESTION
I have the following table
...ANSWER
Answered 2021-Jun-07 at 10:57You can create a view:
QUESTION
I've been asked in an exercise to find out how many years did all the inventors live in one number using "Array.prototype.reduce()"
...ANSWER
Answered 2021-Jun-04 at 21:04acc
should be a number representing the total years:
QUESTION
I am using Python Spacy to replace any entity with the label_ == "PERSON" with "[XXX]". It seems like I have done that correctly, but I am struggling with replacing it in my Teststring:
...ANSWER
Answered 2021-May-25 at 21:26Since all you need is a string output, you can use
QUESTION
My application is a bit more complicated than the following, but I've distilled the problem to a simple case.
I have a textbox bound to an object's property. The binding works fine when working from inside the app.
My application runs a TCP server in another thread that receives messages from a mod I've created for a game (the game is Binding of Isaac, if that's any help). The mod sends messages to my application when the user presses a key in-game. When the server receives a message, it invokes a change in the bound property through the app's dispatcher, like so:
...ANSWER
Answered 2021-May-17 at 07:21Likely a driver problem. Try disabling hardware acceleration on startup:
QUESTION
I am trying to create a dictionary for Gray using the all_Artists list. His list need to include everything that is not in Isaac's list.
...ANSWER
Answered 2021-May-07 at 01:26You are setting Grays['fav_Artists']
to the new value each time. Basically, you are overwriting previous values with a new value, which is not what you want. Instead, use the append
function:
QUESTION
I stumbled into Why would I get a duplicate key error when updating a row? so I tried a few things on https://extendsclass.com/postgresql-online.html.
Given the following schema:
...ANSWER
Answered 2021-Apr-26 at 17:03From Update:
When using FROM you should ensure that the join produces at most one output row for each row to be modified. In other words, a target row shouldn't join to more than one row from the other table(s). If it does, then only one of the join rows will be used to update the target row, but which one will be used is not readily predictable.
In your case you have two matches for 1, so the choice is completely dependent in which order rows are read.
Here example when index is present for both runs and results are different:
db<>fiddle demo 1
db<>fiddle demo 2
Do you know why I don't get the "duplicate key value violates unique constraint" error?
There is no duplicate key neither on column id nor pair first_name/last_name after update is performed.
Scenario 1:
QUESTION
I've been fighting with this problem for some time now and I've finally managed to narrow down the issue and create a minimum working example.
The summary of the problem is that I have a class that inherits from a dict
to facilitate parsing of misc. input files. I've overridden the the __setitem__
call to support recursive indexing of sections in our input file (e.g. parser['some.section.variable']
is equivalent to parser['some']['section']['variable']
). This has been working great for us for over a year now, but we just ran into an issue when passing these Parser
classes through a multiprocessing.apply_async
call.
Show below is the minimum working example - obviously the __setitem__
call isn't doing anything special, but it's important that it accesses some class attribute like self.section_delimiter
- this is where it breaks. It doesn't break in the initial call or in the serial function call. But when you call the some_function
(which doesn't do anything either) using apply_async
, it crashes.
ANSWER
Answered 2021-Apr-19 at 12:44The cause of the problem is that multiprocessing
serializes and deserializes your Parser
object to move its data across process boundaries. This is done using pickle. By default pickle does not call __init__()
when deserializing classes. Because of this self.section_delimiter
is not set when the deserializer calls __setitem__()
to restore the items in your dictionary and you get the error:
AttributeError: 'Parser' object has no attribute 'section_delimiter'
Using just pickle and no multiprocessing gives the same error:
QUESTION
I'm having a bit of an issue. I have a dict looking like this:
...ANSWER
Answered 2021-Apr-16 at 19:12We can try flattening the nested dictionary game_owned
by making the records from the nested lists present in game_name
and game_playtime
keys, then prepare a dataframe named games
from these records and join
it with the dataframe created from the keys AUTHID
and visibility
QUESTION
Everything is in the title, I've found this code that almost does what I want :
https://stackoverflow.com/a/21572244/5455842
ANSWER
Answered 2021-Apr-13 at 00:16Given your sample data and desired output, if you use Python 3.7 or later, the dictionary order will be as desired:
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