h-regular | 在日常开发中积累的110多个正则表达式,欢迎大家提PR补充 | Regex library
kandi X-RAY | h-regular Summary
kandi X-RAY | h-regular Summary
在日常开发中积累的110多个正则表达式,欢迎大家提PR补充
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QUESTION
I'm using the arangodb go client and trying to delete a vertex and have the dangling edges automatically removed.
The arangodb documentation says about named graphs :
The underlying collections of the named graphs are still accessible using the standard methods for collections. However the graph module adds an additional layer on top of these collections giving you the following guarantees: (...) If you delete a vertex all edges referring to this vertex will be deleted too
How do I harness the guarantees of the graph module using GO?
I created a named graph with the collections and edge collections that I want to delete from, and still if I just remove from the collection I get dangling edges pointing to the newly removed vertex.
Is there a way to use AQL to do this? The documentation suggests otherwise:
Deleting vertices with associated edges is currently not handled via AQL while the graph management interface and the REST API for the graph module offer a vertex deletion functionality.
Instead it offers a more complex query to do the same. But since this functionality exists on the graph web interface, and supposedly in the REST API, shouldn't it be present on the arangodb go driver? Am I missing something?
It seems the advantages/guarantees of using named graphs aren't really there.
...ANSWER
Answered 2021-Apr-26 at 13:34As @TomRegner suggested accessing a collection through graph.VertexCollection works.
QUESTION
I am using Typescript to write a streamed cross-reference table at the end of my PDF file, as suggested the answer from my previous post
Here is the XREF table I would have written without stream:
...ANSWER
Answered 2021-Apr-01 at 10:283 problems can be identified easily.
Incorrect startxref offsetYour startxref points to the start of the stream dictionary but it should point to the object number of the indirect object housing the stream.
Missing predictor bytesYou claim that the arranged inflated version is
QUESTION
I have a multi-stage Dockerfile for building a Rails app that includes webpacked frontend assets.
The step with RUN bin/rails assets:precompile
calls webpack to build all the .js and .css assets to publish to public/packs
. This works fine. The problem is, the changes from this RUN
step are not persisted. One would expect the following to work:
ANSWER
Answered 2021-Mar-23 at 11:32Delete the VOLUME
line.
The only particularly obvious effect of a VOLUME
directive is that it prevents any following RUN
command from changing that directory. Declaring a VOLUME
in your Dockerfile is almost never necessary (and volumes aren't appropriate storage for source code); you can just delete that line and nothing bad will happen.
QUESTION
My server works as a proxy for a user's search request. Before requesting data on Azure we need to ensure everything is secure. For this we add certain filters into the query filter. Let's say my server receives this query:
...ANSWER
Answered 2021-Mar-03 at 01:48Your EDM model doesn't appear to include an entity set, so it's not clear what the filter is filtering. Azure Cognitive Search defines an EDM model for each index that includes an entity set "docs", the type of which corresponds to the index definition. The property path Customer/CustomerId
in the filter would be interpreted by Azure Cognitive Search as the CustomerId
sub-field of a top-level Edm.ComplexType
field named Customer
(Using OData terminology, the document is the entity, Customer
is a Complex property, and CustomerId
is a property of Customer
). Your EDM model will have to include all this schema information if you want to use ODataUriParser
or ODataQueryOptionParser
to obtain a semantic AST from the filter text.
That said, you probably don't need a full semantic AST to verify the security of the filter expression (assuming you're trying to defend against things like injection attacks). It might be simpler to use the lexical stage of the OData filter parser by itself. Then you can process the syntactic AST.
If you want maximum control, you can always roll your own parser. The full BNF for OData is here.
QUESTION
I'm trying to add an external font to a website, the site does not respond at all. I'm a beginner and just learning, I work on it all day, thank you for your help.
...ANSWER
Answered 2021-Feb-24 at 13:12Put the archive path inside a string Ex:
QUESTION
The issue that I am having is every time I run my game the start screen won't work right, for example, all click on the GO button and it won't let me start my game yet everything seems correct and in place, if anyone can please help it would very much be appreciated
...ANSWER
Answered 2020-Aug-12 at 00:01Try:
QUESTION
So what am trying to get is a text to pop up after a car crosses the finish line for example “Game over first car won” but everything I done so far hasn’t worked and was hoping I can get some assistance here.
...ANSWER
Answered 2020-Aug-03 at 01:52Try something like this. At the end of the loop, if there is a finisher, blit the text to the screen the same way you wrote "Finish Line!"
QUESTION
ANSWER
Answered 2020-May-27 at 18:31I suppose you should use an unique id for an input type="password" as you did for an usual input :id="this._uid"
because on a HTML page all id
's declared in elements must be unique.
QUESTION
I need some simple javascript code for a Vue application that will take a string split it into an array and check if any value is in a different string.
I have
...ANSWER
Answered 2020-Apr-23 at 01:23You're not actually making RegExp
's out of your affiliation
string, which is why rx.test
is not a function. You can make a RegExp
which will match against all the affiliation string pieces at once, by separating them with |
. We wrap each element in the regex in \b
so that (for example) Brook
doesn't match Brooktown
. Adding the i
flag to the RegExp
makes it case-insensitive:
QUESTION
I want to train a binary target deep neural network model using nsl.keras.GraphRegularization
as described in this tutorial. My model has a triplet semihard loss in an intermediate dense layer which should not be "graph regularized".
From the nsl.keras.GraphRegularization
definition on Github:
Incorporates graph regularization into the loss of
base_model
.Graph regularization is done on the logits layer and only during training.
It means that the intermediate triplet semihard loss will not be affected by this regularization?
...ANSWER
Answered 2019-Dec-04 at 22:23Yes, that's right. Graph regularization will only be applied on the outputs of base_model
. If your base_model
uses triplet semihard loss in another layer, that loss should remain unaffected and preserved. If that's the not the case, please file a bug at https://github.com/tensorflow/neural-structured-learning/issues.
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