fac | purpose build system that runs on Linux | Build Tool library
kandi X-RAY | fac Summary
kandi X-RAY | fac Summary
Fac is a general-purpose build system inspired by make that utilizes ptrace to ensure that all dependences are enumerated and that all source files are added to a (git) repo. An important feature of fac is that it automatically handles dependencies, rather than either complaining about them or giving an incorrect build. Currently, fac only runs on linux systems, but on those systems it is incredibly easy to use!.
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QUESTION
I'm working on making a function to create tables and I need to have some conditional rules involved for formatting. One will be based on a column name, however when I send it down using as.formula
it seems to be over doing it. I've made an example here:
ANSWER
Answered 2021-Jun-12 at 21:11We could specify the j
with the column names of the data created i.e. startsWith
returns a logical
vector from the column names based on the names that starts with 'b', use the logical vector to extract the column names with [
(nm1).
QUESTION
I'm working on creating a table for publication and an having trouble creating the structure I need.
The "data":
...ANSWER
Answered 2021-Jun-11 at 17:40You could use recast
from reshape2 package:
QUESTION
I'm producing a multivariate probability density function below. This works fine but I'm hoping to normalise the Z value so it elicits a value between 0 and 1.
To achieve this I want to divide the distribution value at the mean so it's always 1 at the mean and lower elsewhere. I understand the sum of all values will be greater than 1.
I'm diving Z
but the sum
of Z
but when printing the values, they still are outside my intended normalised range.
ANSWER
Answered 2021-May-31 at 02:23If you want to normalise Z
, you need to divide it not by the sum, but by the maximum over all its values. Thus you ensure that the new maximum is 1:
QUESTION
Here's my data
...ANSWER
Answered 2021-May-28 at 09:16Here is a possible solution:
QUESTION
I have an Alexa-Skill and am building a Web-App for this skill. In the skill users can buy a subscription for an ISP and in the Web-App I need to know if a user is subscribed (is entitled) to that ISP. How can I do that and is it even possible?
More information- My skill's code (written in python using the Alexa-Skills-Kit SDK) is hosted as an AWS Lambda function.
- The Skill's database as an AWS DynamoDB. The Web-App I'm developing has access to that DynamoDB.
- From the Web-App use the ask-sdk monetization_service to get the products the current user is entitled to.
First I tried invoking my skill's lambda function through the ask-sdk with a request for my skill's "getEntitledProducts" Intent. This intent stores the entitled products in the response's sessionAttributes. The request I got from the alexa developer console test tab where I (successfully) invoked the mentioned intent. Here in the developer console it works without problem
...ANSWER
Answered 2021-May-08 at 21:24One possible but not the best approach can be the database solution that you suggested but with some additional data. When the user subscribes for the first time you can always save the subscription datetime in the DB and you know for how long the subscription is valid. Then you just have to play with datetime library to know wether the user is subscribed or not.
This will not be helpful if your skill is already running and is live, but if not then this can help.
QUESTION
I am currently trying to make a research paper's source code work. It's supposed to be able to detect cells on an image using deep learning. The source code is available here : https://github.com/WeidiXie/cell_counting_v2
I'm using Python 3.9.5 and keras 2.5.0.
I've been having some issues trying to make this code work properly, I am getting errors that I'm not sure how to resolve. This happens when I compile train.py :
...ANSWER
Answered 2021-May-18 at 21:35I think the problem is because of version mismatch of Keras. Convolution2D
is a deprecated function in Keras 2.5.0 and it has been replaced by Conv2D
and the subsample
argument has been replaced by stride
. You need to either install an older version of Keras like 1.2.2 or modify the model.py code to make it compatible with new Keras.
For more information you may check:
- Keras 1.2.2 (old) Documentation: https://faroit.com/keras-docs/1.2.2/layers/convolutional/
- Keras 2.0.5 (new) Documentation: https://faroit.com/keras-docs/1.2.2/layers/convolutional/
QUESTION
I saw examples of 2 types of bind calls. first kind is:
...ANSWER
Answered 2021-May-13 at 21:07The first argument passed to bind
is the this
value and the other arguments are the additional arguments to the function. In the first case, it only sets the this
value, while in the second case, it sets both the this
value and the first argument. However, it is likely that the this
value wasn't truly needed, so null
could have been passed too.
QUESTION
I am trying to insert data into my sql table using data stored in the list The code I am using is:
...ANSWER
Answered 2021-May-13 at 15:57if you use %s it takes care of strings:
QUESTION
Here's a basic implementation of a faro shuffle. This is an out-shuffle ("faro out, man!") just because it's a bit easier to code than an in-shuffle.
...ANSWER
Answered 2021-May-03 at 17:33To get around Scala 2 dependent types within single parameter list limitation, try with type refinement
QUESTION
I'm trying to use a for loop through iterate through a range of dates, and I was going to increment the start date using plusDays, but I get "cannot resolve method plusDays in Date". Here is my code:
...ANSWER
Answered 2021-Apr-27 at 14:29java.util.Date
is not java.time.LocalDate
java.util.Date
does not have a plusDays(1L)
function:
So if you work with Date you can increment using :
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Install fac
To build fac (and its documentation) just run. This should build fac on an x86-64 linux system that has rust installed. You can then build an optimized version by running. To use fac, you can copy the fac binary into some location in your path.
You need to have rust installed. In addition, building fac with fac itself requires both python2 and python3 (something to fix), and building the fac documentation (which is the default build target) requires sass and python-markdown. For more detail on building fac, see the web page on building fac, which is also in the fac repository as web/building.md.
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