a3 | - A simple JavaScript 3D engine
kandi X-RAY | a3 Summary
kandi X-RAY | a3 Summary
A3 is a simple WebGL engine built in JavaScript. It's primary purpose was as a learning experience for me, but I'm sharing the source code all the same. You can see more information about it on my site.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of a3
a3 Key Features
a3 Examples and Code Snippets
def set_seed(seed):
"""Sets the global random seed.
Operations that rely on a random seed actually derive it from two seeds:
the global and operation-level seeds. This sets the global seed.
Its interactions with operation-level seeds is as
def batch_sizes_for_worker(global_batch_size, num_workers,
num_replicas_per_worker, worker_index):
"""Determines how to rebatch a dataset for the given worker.
Given the global batch size, number of workers, number of
def set_random_seed(seed):
"""Sets the graph-level random seed for the default graph.
Operations that rely on a random seed actually derive it from two seeds:
the graph-level and operation-level seeds. This sets the graph-level seed.
Its in
Community Discussions
Trending Discussions on a3
QUESTION
I have a function on a Google Sheet that combines 3 different ImportRange tables from 3 different sheets, and queries them so that any missing data/empty lines are cut out. The problem I'm having is that I want to add a column at the start of the list that specifies which sheet each row originated from, but I'm not sure how to do this, as I am unable to edit each source sheet.
This is my function so far:
...ANSWER
Answered 2021-Jun-15 at 20:18try:
QUESTION
I'm trying to create a new variable based on some conditions. I have the following data:
...ANSWER
Answered 2021-Jun-15 at 16:13We can use a group by operation in dplyr
i.e. grouped by 'ID', extract the 'code' where the 'type' value is "large" (assuming there are no duplicate values for 'type' within each 'ID'
QUESTION
I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results. The way I'm trying to merge the results is something like this:
...ANSWER
Answered 2021-Jun-15 at 01:58I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results.
Ok, but yours is an unnecessarily difficult approach. At each step of the merge process, you want half of your threads to wait for the other half to finish, and the most natural way for one thread to wait for another to finish is to use pthread_join()
. If you wanted all of your threads to continue with more work after synchronizing then that would be different, but in this case, those that are not responsible for any more merges have nothing at all left to do.
This is what I've tried:
QUESTION
ANSWER
Answered 2021-Jun-15 at 18:00Here is an option with max.col
.
- Get the column index for the
max
value in a row for selected columns and specify theties.method
as 'first' or 'last' - Use the index to extract the column name
- Create a
data.frame
with the column names extracted along with the 'ID' column
QUESTION
Dataset looks like this : This is a sample dataset for number of employee login activity named - activity
I need to calculate few metrics, was able to do in python data frames, but new in mySQL.
what is the average number of employee active per day for month of jan 2018 by dept ( was able to do somewhat half of it, but results coming are not correct.
number of unique active employee (login >0) per month for jan 2018 for each dept_id (was able to do it)
month over month growth for all dept_id from dec-2017 to jan 2018 where at least one employee was active (login >0) - no idea how to do this in sql
fraction of users who were active in each dept_id for dec 2017 and were also active in the same dept_id for jan 2018
how many employee login in on 3 or more consecutive days in jan 2018
Any help would be appreciated.
Query written for case 1:
...ANSWER
Answered 2021-Jun-15 at 16:59Let me know if this works otherwise I will update the answer, I don't have MYSQL installed so wasn't able to check.
And the date is a keyword in oracle but not sure in MYSQL so use it in quotes like "date".
Case 1:
QUESTION
So I was really ripping my hair out why two different sessions of R with the same data were producing wildly different times to complete the same task.
After a lot of restarting R, cleaning out all my variables, and really running a clean R, I found the issue: the new data structure provided by vroom
and readr
is, for some reason, super sluggish on my script. Of course the easiest thing to solve this is to convert your data into a tibble as soon as you load it in. Or is there some other explanation, like poor coding praxis in my functions that can explain the sluggish behavior? Or, is this a bug with recent updates of these packages? If so and if someone is more experienced with reporting bugs to tidyverse, then here is a repex
showing the behavior cause I feel that this is out of my ballpark.
ANSWER
Answered 2021-Jun-15 at 14:37This is the issue I had in mind. These problems have been known to happen with vroom, rather than with the spec_tbl_df
class, which does not really do much.
vroom
does all sorts of things to try and speed reading up; AFAIK mostly by lazy reading. That's how you get all those different components when comparing the two datasets.
With vroom:
QUESTION
I'm working with some data where I have hourly observations for patients. In some cases, some of the features for a specific patient are completely empty. I'm trying to find a way to impute the data by using constant average that's based off a population subset of 50 other patients who have the same gender and a similar age. I've given a simplified look at the data below:
HR O2Sat Temp Platelets Age Gender PatientID 80 98 36.5 NaN 52 1 A0 82 96 37.0 NaN 52 1 A0 82 100 36.3 160 53 1 A1 90 93 36.6 165 53 1 A1 83 95 35.9 140 23 0 A2 79 98 36.2 155 23 0 A2 88 92 36.6 163 60 0 A3 90 91 36.3 165 60 0 A3 81 95 37.1 NaN 20 0 A4 81 92 36.9 NaN 20 0 A4I've reordered the dataframe by age and have this code so far
data = data.sort_values(['Age']).groupby(['PatientID','Gender']).apply(lambda x: x.fillna(x.mean()))
But I know that that's going to use all of the available data to find the mean but I'm not sure how to limit it to 50 patients of a similar age.
...ANSWER
Answered 2021-Jun-15 at 13:43I think I get what you want now. You want to fill the gaps with matching records for the right age and category. I created a simple example to debug.
QUESTION
I know there are some other questions (with answers) to this topic. But no of these was helpful for me.
I have a postfix server (postfix 3.4.14 on debian 10) with following configuration (only the interesting section):
...ANSWER
Answered 2021-Jun-15 at 08:30Here I'm wondering about the line [in s_client]
New, TLSv1/SSLv3, Cipher is ECDHE-RSA-AES256-GCM-SHA384
You're apparently using OpenSSL 1.0.2, where that's a basically useless relic. Back in the days when OpenSSL supported SSLv2 (mostly until 2010, although almost no one used it much after 2000), the ciphersuite values used for SSLv3 and up (including all TLS, but before 2014 OpenSSL didn't implement higher than TLS1.0) were structured differently than those used for SSLv2, so it was important to qualify the ciphersuite by the 'universe' it existed in. It has almost nothing to do with the protocol version actually used, which appears later in the session-param decode:
QUESTION
I have been studying and learning PHP and MySQL and I have started a system that I'm developing for a friend's little school and to help me to improve my learning. I basically have in this case a table with the names of the students (tb_std) and another with the names of the teachers (tb_tch). The work is to distribute these students among the teachers in a new table, which is the way I think it will work better (tb_final).
- I basically need each student to have a randomly chosen teacher so that the distribution is numerically even among the teachers.
In this example, I have 7 teachers and 44 students. Using SELECT query I did the operations to find out how many students would be for each teacher (add/division/mod), but how to make this draw to play in this new table I have no idea where to start.
...ANSWER
Answered 2021-Jun-14 at 14:50You can solve this by next (a bit a complicate) query using window functions:
QUESTION
I would like to standardize a dataframe by the value in one specific column. In other words, I would like to divide all the values in each row by the value in a specific column.
For example:
The dataframe is
Gene P1 P2 P3
A1 6 8 2
A2 12 6 3
A3 8 4 8
I would like to divide all the values in each row by the value in that row for column P3.
Gene P1 P2 P3
A1 6/2 8/2 2/2
A2 12/3 6/3 3/3
A3 8/8 4/8 8/8
The new dataframe would be:
Gene P1 P2 P3
A1 3 4 1
A2 4 2 1
A3 1 .5 1
Thank you for your help.
...ANSWER
Answered 2021-Jun-15 at 01:22Using tidyverse functions:
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