flatten | A package to flatten any website to plain HTML | Caching library

 by   Anahkiasen PHP Version: 0.5.1 License: No License

kandi X-RAY | flatten Summary

kandi X-RAY | flatten Summary

flatten is a PHP library typically used in Server, Caching applications. flatten has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Flatten is a powerful cache system for caching pages at runtime. What it does is quite simple : you tell him which page are to be cached, when the cache is to be flushed, and from there Flatten handles it all. It will quietly flatten your pages to plain HTML and store them. That whay if an user visit a page that has already been flattened, all the PHP is highjacked to instead display a simple HTML page. This will provide an essential boost to your application's speed, as your page's cache only gets refreshed when a change is made to the data it displays.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              flatten has a low active ecosystem.
              It has 337 star(s) with 41 fork(s). There are 13 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 6 open issues and 31 have been closed. On average issues are closed in 166 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of flatten is 0.5.1

            kandi-Quality Quality

              flatten has 0 bugs and 0 code smells.

            kandi-Security Security

              flatten has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              flatten code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              flatten does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              flatten releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              flatten saves you 434 person hours of effort in developing the same functionality from scratch.
              It has 1027 lines of code, 122 functions and 18 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed flatten and discovered the below as its top functions. This is intended to give you an instant insight into flatten implemented functionality, and help decide if they suit your requirements.
            • Bind the Flatten classes .
            • Get the path to kickstart .
            • Get a page .
            • Determine if the current page should be cached .
            • Caches the response .
            • Cache page content .
            • Register the blade directives .
            • Handle the incoming request .
            • Build the cache .
            • Get the filepath .
            Get all kandi verified functions for this library.

            flatten Key Features

            No Key Features are available at this moment for flatten.

            flatten Examples and Code Snippets

            Flatten a shallow tree structure to a list .
            pythondot img1Lines of Code : 71dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def flatten_up_to(shallow_tree, input_tree):
              """Flattens `input_tree` up to `shallow_tree`.
            
              Any further depth in structure in `input_tree` is retained as elements in the
              partially flatten output.
            
              If `shallow_tree` and `input_tree` are not s  
            Flatten a composite tensor .
            pythondot img2Lines of Code : 42dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _flatten_and_filter_composite(maybe_composite, non_composite_output,
                                              composite_output=None):
              """For an input, replaced the input by a tuple if the input is composite.
            
              If `maybe_composite` is not composite, r  
            Flatten input .
            pythondot img3Lines of Code : 40dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _channel_flatten_input(x, data_format):
              """Merge the stack dimension with the channel dimension.
            
              If S is pfor's stacking dimension, then,
                - for SNCHW, we transpose to NSCHW. If N dimension has size 1, the transpose
                  should be cheap.  

            Community Discussions

            QUESTION

            Service account with org viewer role not able to perform any actions
            Asked 2021-Jun-15 at 20:53

            I have created a GCP service account with org viewer permissions (I assume therefore having read rights in all projects)

            ...

            ANSWER

            Answered 2021-Jun-15 at 20:49

            The error messages states that the service account does not have the permission compute.disks.list.

            What permissions does the role roles/resourcemanager.organizationViewer have?

            Source https://stackoverflow.com/questions/67992475

            QUESTION

            Getting attribute error : module 'pandas' has no attribute 'json_normalize'
            Asked 2021-Jun-15 at 08:32

            I was trying to use json_normalize function to flatten the JSON data. While calling the function I am getting this exception in Python;

            ...

            ANSWER

            Answered 2021-Jun-15 at 05:04

            QUESTION

            how to identify different domains from iam users GCP
            Asked 2021-Jun-15 at 07:14

            We have a scenario where in our gcp projects we have several iam users with different email id domains apart from @gmail.com ,now we need to restrict this to only giving access to @gmail.com users.

            first we need to identify all existing non-@gmail.com users from our projects and remove them.

            we use below filter for identifying all @gmail.com users from iam-users.

            ...

            ANSWER

            Answered 2021-Jun-14 at 17:04

            Not sure yet how to identify all of them other than go to your IAM page, but about the domains restriction, below the GCP documentation.

            The Resource Manager provides a domain restriction constraint that can be used in organization policies to limit resource sharing based on domain. This constraint allows you to restrict the set of identities that are allowed to be used in Identity and Access Management policies.

            You can check the guide here: Restricting identities by domain

            Source https://stackoverflow.com/questions/67973956

            QUESTION

            Why my ArrayFormula is giving error? How do I correct it? (I'm not looking for another Arrayformula as solutions!)
            Asked 2021-Jun-15 at 00:20

            I wanted a ArrayFormula at C1 which gives the required result as shown.

            Entry sheet:
            (Column C is my required column)

            Date Entered is the date when the Name is Assigned a group i.e. a, b, c, d, e, f

            Criteria:

            1. The value of count is purely on basis of Date Entered (if john is assigned a on lowest date(10-Jun) then count value is 1, if rose is assigned a on 2nd lowest date(17-Jun) then count value is 2).
            2. The value of count does not change even when the data is sorted in any manner because Date Entered column values is always permanent & does not change.
            3. New entry date could be any date not necessarily highest date (If a new entry with name Rydu is assigned a on 9-Jun then the it's count value will become 1, then john's (10-Jun) will become 2 and so on)

            Example:

            After I sort the data in any random order say like this:

            Random ordered sheet:
            (Count value remains permanent)

            And when I do New entries in between (Row 4th & 14th) and after last row (Row 17th):

            Random Ordered sheet:
            (Doesn't matter where I do)

            I already got 2 different ArrayFormula which gives the required results:
            1. ={"AF Formula1"; ArrayFormula(IF(B2:B="", "", COUNTIFS(B$2:B, "="&B2:B, D$2:D, <"&D2:D)+1))}
            2. ={"AF Formula2";INDEX(IFERROR(1/(1/COUNTIFS(B2:B, B2:B, ROW(B2:B), "<="&ROW(B2:B)))))}
            I'm not looking for another Arrayformula as solutions. What I want is to know what is wrong in my ArrayFormula? and how do I correct it?

            I tried to figure my own ArrayFormula but it's not working:

            I got Formula for each cell:
            =RANK($D2,FILTER($D$2:$D, $B$2:$B=$B2),1)
            I figured out Filter doesn't work with ArrayFormula so I had to take a different approach.

            I took help from my previous question answer (Arrayformula at H3) which was similar since in both cases each cell FILTER formula returns more than 1 value. (It was actually answered by player0)

            Using the same technique I came up with this Formula which works absolutely fine :

            =RANK($D2, ARRAYFORMULA(TRANSPOSE(SPLIT(VLOOKUP($B2, SUBSTITUTE(TRIM(SPLIT(FLATTEN(QUERY(QUERY({$B:$B&"×", $D:$D}, "SELECT MAX(Col2) WHERE Col2 IS NOT NULL GROUP BY Col2 PIVOT Col1", 1),, 9^9)), "×")), " ", ","), 2, 0), ","))), 1)

            Now when I tried converting it to ArrayFormula: ($D2 to $D2:$D & $B2 to $B2:$B)

            =ARRAYFORMULA(RANK($D2:$D,TRANSPOSE(SPLIT(VLOOKUP($B2:$B, SUBSTITUTE(TRIM(SPLIT(FLATTEN(QUERY(QUERY({$B:$B&"×", $D:$D}, "SELECT MAX(Col2) WHERE Col2 IS NOT NULL GROUP BY Col2 PIVOT Col1", 1),, 9^9)), "×")), " ", ","), 2, 0), ",")), 1))

            It gives me an error "Did not find value '' in VLOOKUP evaluation", I figured out that the problem is only in VLOOKUP when I change $B2 to $B2:$B.

            I'm sure VLOOKUP works with ArrayFormula, I fail to understand where my formula is going wrong! Please help me correct my ArrayFormula.

            Here is the editable sheet link

            ...

            ANSWER

            Answered 2021-Jun-14 at 20:45

            I have answered you on the tab in your shared sheet called My Practice thusly:

            You cannot split a two column array as you have attempted to do in cell CI2. That is why your formula does not work. You can only split a ONE column array.

            I understand you are trying to learn, but attempting to use complicated formulas like that is going to make it harder I'm afraid.

            Source https://stackoverflow.com/questions/67975406

            QUESTION

            insert open and close tags at the positions corresponding to a list of tups
            Asked 2021-Jun-14 at 08:49

            I have to mark up a text inserting tags in a string as follows:

            ...

            ANSWER

            Answered 2021-Jun-14 at 08:06
            mystring = list('123456789')
            postions = [(2,4),(6,8)]
            
            shift = 0
            for pos in postions:
                tag = ""
                mystring.insert(pos[0] + shift, tag)
                shift += 1
                mystring.insert(pos[1] + shift, tag.replace('<', '

            Source https://stackoverflow.com/questions/67966590

            QUESTION

            mnist CNN ValueError expected min_ndim=4, found ndim=3. Full shape received: [32, 28, 28]
            Asked 2021-Jun-13 at 16:35

            I define the model definition as follows.

            ...

            ANSWER

            Answered 2021-Feb-16 at 05:27

            By seeing your error, I think you probably didn't add the batch axis in the training set i.e [batch, w, h, channel]. Here is the working code

            DataSet

            Source https://stackoverflow.com/questions/66218328

            QUESTION

            how to transform nested JSON object into rows and columns in Pandas
            Asked 2021-Jun-13 at 15:41

            I have a json file and pretty new to json and pandas. How can I flatten this JSON based on the conversation id or csv data.

            Json data here : https://pastebin.pl/view/64022f08

            ...

            ANSWER

            Answered 2021-Jun-13 at 15:41

            Ritu Patil

            Your .json is json-dictionary (key, value):

            So for accessing to proper element in dictionary You need to access those like this:

            Source https://stackoverflow.com/questions/67956827

            QUESTION

            Unable to mount EFS to ECS on fargate
            Asked 2021-Jun-13 at 14:30

            trying to mount EFS to ECS Fargate but getting below error while task is being executed. it looks as though it is an IAM issue but crosschecked all the roles and unable to identify the issue. Checked security groups as well.i allowed 2049 port and attached ecs security group to it.

            "ResourceInitializationError: failed to invoke EFS utils commands to set up EFS volumes: stderr: b'mount.nfs4: access denied by server while mounting 127.0.0.1:/' : unsuccessful EFS utils command execution; code: 32"

            Terraform 0.12 and Fargate 1.4.0

            ...

            ANSWER

            Answered 2021-Jun-09 at 15:01

            I had a related problem because the directory has not yet been created, there is a property in root_directory that allows creating the directory with proper permissions.

            https://registry.terraform.io/providers/hashicorp/aws/latest/docs/resources/efs_access_point#creation_info

            In the example I use root, but you can set another gid.

            Source https://stackoverflow.com/questions/67901275

            QUESTION

            AttributeError: module 'scipy.ndimage' has no attribute 'interpolation' Tensorflow CNN
            Asked 2021-Jun-13 at 10:55

            This is a part of my code, before data augmentation, model.fit was working, however after augmentation of data i'm getting this error;

            AttributeError: module 'scipy.ndimage' has no attribute 'interpolation'

            This is the list of all imported libraries;

            ...

            ANSWER

            Answered 2021-Jun-13 at 10:55

            I found the problem. Problem was that scipy was missing in my anaconda virtual environment. I thought scipy was installed when I saw;

            AttributeError: module 'scipy.ndimage' has no attribute 'interpolation'

            Thanks for the tip @simpleApp. And I'm sorry to bother you with the mistake of absent-mindedness... Solution is the installing scipy.

            Source https://stackoverflow.com/questions/67953561

            QUESTION

            Is it possible to combine 2 neural networks?
            Asked 2021-Jun-13 at 00:55

            I have a NET like (exemple from here)

            ...

            ANSWER

            Answered 2021-Jun-07 at 14:26

            The most naive way to do it would be to instantiate both models, sum the two predictions and compute the loss with it. This will backpropagate through both models:

            Source https://stackoverflow.com/questions/67872719

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install flatten

            Flatten installs just like any other package, via Composer : composer require anahkiasen/flatten.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/Anahkiasen/flatten.git

          • CLI

            gh repo clone Anahkiasen/flatten

          • sshUrl

            git@github.com:Anahkiasen/flatten.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular Caching Libraries

            caffeine

            by ben-manes

            groupcache

            by golang

            bigcache

            by allegro

            DiskLruCache

            by JakeWharton

            HanekeSwift

            by Haneke

            Try Top Libraries by Anahkiasen

            underscore-php

            by AnahkiasenPHP

            polyglot

            by AnahkiasenPHP

            html-object

            by AnahkiasenPHP

            flickering

            by AnahkiasenPHP

            cookie-monster

            by AnahkiasenJavaScript