Nested | Gap free multi column grid | Grid library
kandi X-RAY | Nested Summary
kandi X-RAY | Nested Summary
jQuery Nested plugin for a gap free, multi column grid layout experience. Demo: Nested to the left and Grid-A-Licious/Masonry to the right.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Nested
Nested Key Features
Nested Examples and Code Snippets
Lines of Code : 98License : Non-SPDX (Apache License 2.0)
Copydef flatten(structure, expand_composites=False):
"""Returns a flat list from a given structure.
Refer to [tf.nest](https://www.tensorflow.org/api_docs/python/tf/nest)
for the definition of a structure.
If the structure is an atom, then retu def map_structure_up_to(shallow_tree, func, *inputs):
"""Applies a function or op to a number of partially flattened inputs.
The `inputs` are flattened up to `shallow_tree` before being mapped.
Use Case:
Sometimes we wish to apply a functi def get_traverse_shallow_structure(traverse_fn, structure,
expand_composites=False):
"""Generates a shallow structure from a `traverse_fn` and `structure`.
`traverse_fn` must accept any possible subtree of `str Community Discussions
Trending Discussions on Nested
QUESTION
I'm attempting to write a scraper that will download attachments from an outlook account when I specify the path to folder to download from. I have working code but the folder locations are hardcoded as below:-
...ANSWER
Answered 2021-Jun-15 at 20:37You can do this as a reduction over foldernames using getattr to dynamically get the next attribute.
QUESTION
I simply want to surface an Exception message as a bad response in DRF.
The Exception can come from anywhere in the request. So for example, some nested function can have:
raise Exception('Something went wrong at this particular point')
And then in my view handler, i'd simply catch the Exception and raise it:
...ANSWER
Answered 2021-Jun-15 at 20:29You'll likely need to cast e to a string first: try:
QUESTION
Here are the 3 rows of my sample json.
...ANSWER
Answered 2021-Jun-11 at 04:35I think you need to take the actual raw strings of JSON data and convert them into a list of objects (dicts).
QUESTION
I am querying a database for an item using R2DBC and Spring Integration. I want to extend the transaction boundary a bit to include a handler - if the handler fails I want to roll back the database operation. But I'm having difficulty even establishing transactionality explicitly in my integration flow. The flow is defined as
...ANSWER
Answered 2021-Jun-15 at 18:32Well, it's indeed not possible that declarative way since we don't have hook for injecting to the reactive type in the middle on that level.
Try to look into a TransactionalOperator and its usage from the Java DSL's fluxTransform():
QUESTION
I am using class based projection with constructor expressions. here is a sample code form my work
...ANSWER
Answered 2021-Jun-15 at 00:02try using left join
QUESTION
So I have this object which has other objects and array nested inside it. I want to create a function that lists all the elements in this object and its nested objects. I did create a function but when it lists the items in the objects, it shows [object object] on the section where there is a nested object or array
This is the object that I have :
...ANSWER
Answered 2021-Jun-15 at 16:34let weather = {
base: "stations",
clouds: {
all: 1
},
coord: {
lat: 43.65,
lon: -79.38
},
dt: 1507510380,
id: 6167863,
main: {
humidity: 77,
pressure: 1014,
temp: 17.99,
temp_max: 20,
temp_min: 16
},
name: 'Downtown Toronto',
sys: {
type: 1,
id: 2117,
message: 0.0041,
country: 'CA',
sunrise: 1507548290,
sunset: 1507589027,
type: 1
},
visibility: 16093,
weather: [
{
description: 'clear sky',
icon: '01n',
id: 800,
main: "Clear"
}
],
wind: {
deg: 170,
speed: 1.5
}
}
function listWeather(object) {
let itemsList = ''
let itemsSubList = ''
for (let key in object) {
var item = object[key]
if( isObject(item) ){
for (let k in item) {
document.write('---' + k + ' : ' + item[k] + ' ');
}
}else{
if( Array.isArray(item) ){
document.write('----'+ key +': ');
for (let l in item[0]) {
document.write('------' + l + ' : ' + item[0][l] + ' ');
}
}else{
document.write('' + key + ' : ' + object[key] + ' ');
}
}
}
// return itemsList
}
function isObject(objValue) {
return objValue && typeof objValue === 'object' && objValue.constructor === Object;
}
listWeather(weather)
QUESTION
When I call the method llaveCom.getName() I always get a null, I don't know why
Code of component"
...ANSWER
Answered 2021-Jun-15 at 15:59You should use constructor injection. And because you already injection Llaveompo you don't need to have @Value for the secret.
QUESTION
Suppose I start with a list as initial_list = [None] * 4. By setting depth = D, how can I define a routine to create a nested list of arbitrary depth in such way that each entry of the first list admits x-1 levels, being each level itself a list of other 4 elements. Something that afterwards would allow to slice data as for example myPrecious[0][0][3][0],myPrecious[3][2][1][0],... ?
ANSWER
Answered 2021-Jun-15 at 16:00You can use list comprehensions in a loop:
QUESTION
ANSWER
Answered 2021-Jun-15 at 13:59You need to loop through arrays and on each iteration you can append htmls inside some variable using += .Then , append this html generated inside your ul tag .
I have taken some codes from this post as we need to control each submenu click you can use jquery code so on each click add/remove show class from other submenu .
Demo Code :
QUESTION
I have an Aurora Serverless instance which has data loaded across 3 tables (mixture of standard and jsonb data types). We currently use traditional views where some of the deeply nested elements are surfaced along with other columns for aggregations and such.
We have two materialized views that we'd like to send to Redshift. Both the Aurora Postgres and Redshift are in Glue Catalog and while I can see Postgres views as a selectable table, the crawler does not pick up the materialized views.
Currently exploring two options to get the data to redshift.
- Output to parquet and use copy to load
- Point the Materialized view to jdbc sink specifying redshift.
Wanted recommendations on what might be most efficient approach if anyone has done a similar use case.
Questions:
- In option 1, would I be able to handle incremental loads?
- Is bookmarking supported for JDBC (Aurora Postgres) to JDBC (Redshift) transactions even if through Glue?
- Is there a better way (other than the options I am considering) to move the data from Aurora Postgres Serverless (10.14) to Redshift.
Thanks in advance for any guidance provided.
...ANSWER
Answered 2021-Jun-15 at 13:51Went with option 2. The Redshift Copy/Load process writes csv with manifest to S3 in any case so duplicating that is pointless.
Regarding the Questions:
N/A
Job Bookmarking does work. There is some gotchas though - ensure Connections both to RDS and Redshift are present in Glue Pyspark job, IAM self ref rules are in place and to identify a row that is unique [I chose the primary key of underlying table as an additional column in my materialized view] to use as the bookmark.
Using the primary key of core table may buy efficiencies in pruning materialized views during maintenance cycles. Just retrieve latest bookmark from cli using
aws glue get-job-bookmark --job-name yourjobnameand then just that in the where clause of the mv aswhere id >= idinbookmarkconn = glueContext.extract_jdbc_conf("yourGlueCatalogdBConnection")connection_options_source = { "url": conn['url'] + "/yourdB", "dbtable": "table in dB", "user": conn['user'], "password": conn['password'], "jobBookmarkKeys":["unique identifier from source table"], "jobBookmarkKeysSortOrder":"asc"}
datasource0 = glueContext.create_dynamic_frame.from_options(connection_type="postgresql", connection_options=connection_options_source, transformation_ctx="datasource0")
That's all, folks
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