flatten | A package to flatten any website to plain HTML | Caching library
kandi X-RAY | flatten Summary
kandi X-RAY | flatten Summary
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.
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Top functions reviewed by kandi - BETA
- 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 .
flatten Key Features
flatten Examples and Code Snippets
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
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
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
Trending Discussions on flatten
QUESTION
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 20:49The error messages states that the service account does not have the permission compute.disks.list
.
What permissions does the role roles/resourcemanager.organizationViewer
have?
QUESTION
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 05:04Try to
QUESTION
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 17:04Not 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
QUESTION
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:
- 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).
- 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.
- 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)
={"AF Formula1"; ArrayFormula(IF(B2:B="", "", COUNTIFS(B$2:B, "="&B2:B, D$2:D, <"&D2:D)+1))}
={"AF Formula2";INDEX(IFERROR(1/(1/COUNTIFS(B2:B, B2:B, ROW(B2:B), "<="&ROW(B2:B)))))}
I tried to figure my own ArrayFormula but it's not working:
I got Formula for each cell:
=RANK($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.
...ANSWER
Answered 2021-Jun-14 at 20:45I 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.
QUESTION
I have to mark up a text inserting tags in a string as follows:
...ANSWER
Answered 2021-Jun-14 at 08:06mystring = 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('<', '
QUESTION
I define the model definition as follows.
...ANSWER
Answered 2021-Feb-16 at 05:27By 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
QUESTION
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 15:41Ritu Patil
Your .json is json-dictionary (key, value):
So for accessing to proper element in dictionary You need to access those like this:
QUESTION
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 15:01I 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.
In the example I use root, but you can set another gid.
QUESTION
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 10:55I 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
.
QUESTION
I have a NET like (exemple from here)
...ANSWER
Answered 2021-Jun-07 at 14:26The 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:
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