anthology | private Terraform registry implementation as an alternative | Infrastructure Automation library
kandi X-RAY | anthology Summary
kandi X-RAY | anthology Summary
Anthology is a reimplementation of the Terraform Registry API, intended to be used when your modules can't, shouldn't or don't need to be public. For all means and purposes it works in the same way as the public registry.
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Top functions reviewed by kandi - BETA
- ServeModuleResource serves a module resource
- main is the main entrypoint for app .
- buildRouter builds the router using the kubernetes API
- IsValid determines if the SSLOptions are valid
- Init initializes routing handler
- LoadConfig parses the config file .
- NewFilesystemRegistry creates a new filesystem registry
- newRequestScope creates a new RequestScope
- getPaginationInfo gets Pagination info from the routing context
- NewS3Registry returns an S3 Registry
anthology Key Features
anthology Examples and Code Snippets
def sampled_softmax_loss(weights,
biases,
labels,
inputs,
num_sampled,
num_classes,
num_true=1,
Community Discussions
Trending Discussions on anthology
QUESTION
How is the match
expression implemented at a high level? What happens under the hood for the compiler to know how to direct certain strains of code to one branch vs. the other, figuring it out at compile time? I don't see how this is possible without storing type information for use at runtime.
Something like this example:
...ANSWER
Answered 2022-Mar-04 at 23:16A match
expression does not need runtime type information; as a match
only accepts a single expression of a single known type, by definition it can leverage compile time information.
See also:
match
at compile time vs runtime
At compile time, every match
expression will be verified to be exhaustive: all possible shapes of the value are handled.
At run time, the code will determine which specific match arm is executed. You can think of a match
as implemented via a fancy if
-else
chain.
As we humans tend to be not-extremely-precise when communicating, it's highly likely that some resources blur the line between these two aspects.
Concretely focusing on an enumEnum variants are not standalone types. That is, given an enum Foo
, Foo::Bar
is not a type — it's a value of type Foo
. This is the same as how false
is not a type — it's a value of type bool
. The same logic applies for i32
(type) and 42
(value).
In most cases, enums are implemented as a sea of bytes that correspond to the values each enum variant might be, with each variant's data layered on top of each other. This is known as a union.
Then a discriminant is added next to this soup of bytes. This is an integer value that specifies which variant the value is. Adding the discriminant makes it into a tagged union.
Matching on an enum is conceptually similar to this pseudo-Rust:
QUESTION
I want to build a query based one table. From this one table I want to create two virtual tables based on an count aggregation query. In my example it would split to original table into a table where Xbox Games per Player are counted and one where Playstation Games per player are counted. Then the results of the queries are joined based on the PlayerID.
...ANSWER
Answered 2021-Dec-23 at 09:12Use Group By
QUESTION
I have an issue with asserting an object is an instance of a class In the below class you would see that obj is indeed an instance of TrieNode However, it is failing the unittest complaining it is a Bool
...ANSWER
Answered 2021-Feb-19 at 15:03Thanks @MisterMiyagi
Here is the solution for someone who faces the same issue The point to learn is that the state of my_trie in the setup function will be the state that will be used by all other tests
QUESTION
In my django template I want to access the bio prop of an instance of my Creator class. This bio is set up as a QuillField in the Creator model class. When I try to access creator.bio, all that renders to the page is the following:
What I want is the actual paragraph of formatted text (ie. the bio) that I typed into the form and saved. As of now, the QuillField is only accessible through the form in the Django admin page. The problem has nothing to do with the Quill UI, but rather being able to access the text I wrote into that form field and render it to the page in a readable format.
From models.py:
...ANSWER
Answered 2021-Feb-02 at 02:57Based on https://github.com/LeeHanYeong/django-quill-editor/issues/12 it sounds like you need to use:
QUESTION
I am very much a beginner at using XSLT and I have only recently begun learning it. I am having trouble with trying to print a certain value to display in HTML format based on the XML file below. Essentially I want the HTML page created by the XSL file to display all of the book ID's from only the Fantasy genre, to which they include 'bk102, bk102, bk104, and bk105'. I have tried myself for a while but honestly am not sure how to do this.
Any help would be widely appreciated, sorry for the trouble and thank you in advance.
XML File
...ANSWER
Answered 2020-Oct-18 at 23:48The most simple way would be only copying the given elements with this template:
QUESTION
Y'all, I'm trying to alleviate some of my work in migrating from a face-to-face teaching environment to one that is remote for at least the next three months. To this end, I am trying to create randomized lists of eligible vocabulary words for quizzes. I can have it generate up to eighteen sets of words for an identical number of quizzes, but I seem to be fumbling with checking whether the randomly selected word is already part of that quiz, i.e. I am getting a ton of repeats. Since one word is taught per day, this means the first biweekly quiz will have ten eligible words; the second, twenty words; the third, thirty words; etc. Please see the code below, and thank you in advance for your help!
...ANSWER
Answered 2020-Aug-21 at 01:31You probably want to try using random.sample(all_words, 10)
and loop over to extend the output for subsequent weeks (changing 10 to the desired number of words). You will need to import random
first.
QUESTION
I have a table like this
...ANSWER
Answered 2020-Jul-07 at 09:14CREATE PROCEDURE GetTree()
BEGIN
CREATE TABLE tmp_cat LIKE categories;
ALTER TABLE tmp_cat ADD COLUMN path TEXT;
INSERT INTO tmp_cat (id, name, parent_id, slug, path)
SELECT id, name, parent_id, slug, name
FROM categories
WHERE parent_id IS NULL;
REPEAT
INSERT IGNORE INTO tmp_cat (id, name, parent_id, slug, path)
SELECT categories.id, categories.name, categories.parent_id, categories.slug, CONCAT(tmp_cat.path, ',', categories.name)
FROM categories
JOIN tmp_cat ON tmp_cat.id = categories.parent_id;
UNTIL ROW_COUNT() = 0
END REPEAT;
SELECT * FROM tmp_cat;
DROP TABLE tmp_cat;
END
QUESTION
In my python task, I've to read a PDF paper and get all the references with their count (mentioned in paper). This is the PDF as example and it has 18 references and say Ref#1 is mentioned in paper for like 3 times and Ref#2 is referred 1 times so this is how I want;
...ANSWER
Answered 2020-Jun-21 at 12:33I was wondering what if to get names (and years) from References
at the end of document and use them to search references in document.
In previous question you get code which gets References
at the end of document.
Using regex '((.*)\. (\d{4})\.
I can get names as one string, year as one string (and eventually both in one string)
QUESTION
In my python project, I need to extract REFERENCES
from pdf research papers. I'm using PyPDF2
to read pdf and extract text from it like this.
ANSWER
Answered 2020-Jun-20 at 20:48PDF
is very complex and I'm not specialist but I took source code of extractText() to see how it works and using print('>>>', operator, operands)
I could see what values it found in PDF.
In this document it uses "Tm"
to move position to new line so changed original code in extractText()
and I used "Tm"
to add \n
and I got text in lines
QUESTION
I was following a paper on BERT-based lexical substitution (specifically trying to implement equation (2) - if someone has already implemented the whole paper that would also be great). Thus, I wanted to obtain both the last hidden layers (only thing I am unsure is the ordering of the layers in the output: last first or first first?) and the attention from a basic BERT model (bert-base-uncased).
However, I am a bit unsure whether the huggingface/transformers library actually outputs the attention (I was using torch, but am open to using TF instead) for bert-base-uncased?
From what I had read, I was expected to get a tuple of (logits, hidden_states, attentions), but with the example below (runs e.g. in Google Colab), I get of length 2 instead.
Am I misinterpreting what I am getting or going about this the wrong way? I did the obvious test and used output_attention=False
instead of output_attention=True
(while output_hidden_states=True
does indeed seem to add the hidden states, as expected) and nothing change in the output I got. That's clearly a bad sign about my understanding of the library or indicates an issue.
ANSWER
Answered 2020-Feb-10 at 09:04The reason is that you are using AutoModelWithLMHead
which is a wrapper for the actual model. It calls the BERT model (i.e., an instance of BERTModel
) and then it uses the embedding matrix as a weight matrix for the word prediction. In between the underlying model indeed returns attentions, but the wrapper does not care and only returns the logits.
You can either get the BERT model directly by calling AutoModel
. Note that this model does not return the logits, but the hidden states.
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