If you already have an instance of your model, you can start a transaction and acquire the lock in one go using the following code: book = Book.first book.with_lock do # This block is called within a transaction, # book is already locked. book.increment!(:views) end

hat you need is to filter on the count of the number of races for each horse. The HAVING clause does exactly what we need here – it has syntax like the WHERE clause, but it is applied to each group after grouping has taken place

GROUP BY clause directs the DBMS to form groups of rows for each value of the column(s) named in the clause, returning one row in the result set for each group

COUNT function provides a count of the rows in a result set. It has two forms. COUNT(*) counts rows regardless of data values in the rows, while COUNT(column_name) counts only non-null values in the named colum

the DBMS assigns a column name for the result based on its own internal rules. You can always provide your own column name by assigning an alias right after the expression that forms the column

Surprise, curiosity, rapture, fear, anger, lust, greed, and the like, become then the names of the mental states with which the person is possessed.

co(function* () {  var result = yield Promise.resolve(true);  return result;}).then(function (value) {  console.log(value);}, function (err) {  console.error(err.stack);});

Determine if the string's length is greater than num. Return the string truncated to the desired length, with '...' appended to the end of the original string. Copyconst ellipsis = (str: string, num: number = str.length, ellipsisStr = "...") => str.length >= num ? str.slice(0, num >= ellipsisStr.length ? num - ellipsisStr.length : num) + ellipsisStr : str;

Check whether a value is defined (non-nullable), meaning it is neither `null` or `undefined`. This can be useful as a type guard, as for example, `[1, null].filter(Boolean)` does not always type-guard correctly.

import {isDefined} from 'ts-extras'; [1, null, 2, undefined].filter(isDefined); //=> [1, 2]

React, Airtable, and Netlify

Jamstack

Netlify Functions

the tuple() function you need can be succinctly written as: export type Lit = string | number | boolean | undefined | null | void | {}; export const tuple = <T extends Lit[]>(...args: T) => args;

When you are dealing with an aggregate of aggregates, it needs to be accomplished in two steps. This can be done using a subquery as the FROM clause, essentially giving us a temporary table to then select from, allowing us to find the average of those averages.

This is an important one, as it will enable us to use the aggregate functions that we are familiar when dealing with relational databases, but in the otherwise counter-intuitive environment of JSON data.

I came up with the following little helper function

Because the diagrams are .independent of one another, you can study them and improve them one at a time, so that their evolution can be gradual and cumulative. More important still, because they are abstract and independent, you can use them to create not just one design, but an infinite variety of designs, all of them free combinations of the same set of patterns.

Please note that the I/O DSL is only providing the most-used requirements. Feel free to use the low-level taskWrap API to build your own variable mapping with different scoping techniques.

Nesting an activity into another is a bit like calling a library method from another method

To understand this helper, you should understand that every step invocation calls Output() for you behind the scenes. The following DSL use is identical to the one [above]. class Execute < Trailblazer::Activity::Railway step :find_provider, Output(Trailblazer::Activity::Left, :failure) => Track(:failure), Output(Trailblazer::Activity::Right, :success) => Track(:success)

For branching out a separate path in an activity, use the Path() macro. It’s a convenient, simple way to declare alternative routes

step :decide_type, Output(Activity::Left, :credit_card) => Track(:with_credit_card)

# Create the track, which would automatically create an implicit End with the same id.
Track(:with_credit_card) do
    step :authorize
    step :charge
end

class Example::ValidationErrorTrack < Trailblazer::Activity::Railway
  step :validate_model, Output(:failure) => Track(:validation_error)
  step :save,           Output(:failure) => Track(:validation_error)

  # Can't use fail here or the magnetic_to won't work and  Track(:validation_error) won't work
  step :log_validation_error, magnetic_to: :validation_error,
    Output(:success) => End(:validation_error), 
    Output(:failure) => End(:validation_error) 
end

puts Trailblazer::Developer.render o
Reloading...

#<Start/:default>
 {Trailblazer::Activity::Right} => #<Trailblazer::Activity::TaskBuilder::Task user_proc=validate_model>
#<Trailblazer::Activity::TaskBuilder::Task user_proc=validate_model>
 {Trailblazer::Activity::Left} => #<Trailblazer::Activity::TaskBuilder::Task user_proc=log_validation_error>
 {Trailblazer::Activity::Right} => #<Trailblazer::Activity::TaskBuilder::Task user_proc=save>
#<Trailblazer::Activity::TaskBuilder::Task user_proc=save>
 {Trailblazer::Activity::Left} => #<Trailblazer::Activity::TaskBuilder::Task user_proc=log_validation_error>
 {Trailblazer::Activity::Right} => #<End/:success>
#<Trailblazer::Activity::TaskBuilder::Task user_proc=log_validation_error>
 {Trailblazer::Activity::Left} => #<End/:validation_error>
 {Trailblazer::Activity::Right} => #<End/:validation_error>
#<End/:success>

#<End/:validation_error>

#<End/:failure>

class Example::ValidationErrorTrack::VPathHelper1 < Trailblazer::Activity::Railway
   validation_error_path = Path(end_id: "End.validation_error", end_task: End(:validation_error)) do
    step :log_validation_error
  end
  step :validate_model, Output(:failure) => validation_error_path
  step :save,           Output(:failure) => validation_error_path
end

o=Example::ValidationErrorTrack::VPathHelper1; puts Trailblazer::Developer.render o
Reloading...

#<Start/:default>
 {Trailblazer::Activity::Right} => #<Trailblazer::Activity::TaskBuilder::Task user_proc=validate_model>
#<Trailblazer::Activity::TaskBuilder::Task user_proc=validate_model>
 {Trailblazer::Activity::Left} => #<Trailblazer::Activity::TaskBuilder::Task user_proc=log_validation_error>
 {Trailblazer::Activity::Right} => #<Trailblazer::Activity::TaskBuilder::Task user_proc=save>
#<Trailblazer::Activity::TaskBuilder::Task user_proc=log_validation_error>
 {Trailblazer::Activity::Right} => #<End/:validation_error>
#<Trailblazer::Activity::TaskBuilder::Task user_proc=save>
 {Trailblazer::Activity::Left} => #<Trailblazer::Activity::TaskBuilder::Task user_proc=log_validation_error>
 {Trailblazer::Activity::Right} => #<End/:success>
#<End/:success>

#<End/:validation_error>

#<End/:failure>

another to compose functions that output monadic values (called monadic functions)

It's hard to say why people think so because you certainly don't need to know category theory for using them, just like you don't need it for, say, using functions.

# Set the model name to change the field names generated by the Rails form helpers def self.model_name=(name) @_model_name = ActiveModel::Name.new(self, nil, name) end

The assert method is used by all the other assertions. It pushes the second parameter to the list of errors if the first parameter evaluates to false or nil.

While custom iterators are a useful tool, their creation requires careful programming due to the need to explicitly maintain their internal state. Generator functions provide a powerful alternative: they allow you to define an iterative algorithm by writing a single function whose execution is not continuous. Generator functions are written using the function* syntax.

Can I use the title attribute?Yes. The content prop can be a function that receives the reference element as an argument and returns a string or element.tippy('button', { content(reference) { const title = reference.getAttribute('title'); reference.removeAttribute('title'); return title; }, });The title attribute should be removed once you have its content so the browser's default tooltip isn't displayed along with the tippy.

We can make content a function that receives the reference element (button in this case) and returns template content:

// super-simple CSS Object to string serializer const css = obj => Object.entries(obj || {}) .map(x => x.join(":")) .join(";");

const deinitPopper = () => { if (popperInstance) { popperInstance.destroy(); popperInstance = null; } };

PopupState HelperTo make managing the popover state easier, we can use the material-ui-popup-state library to manage the state.

These are sequential because build:ssr imports the public/index.html that build:dom produces.

PostgreSQL Window Functions

The main reason to use these lower-level components is if you need to customize your form input in some way that isn't supported using TextField.

If it's closing the "window" likely you're putting the exit # command inside a function, not a script. (In which case use return # instead.)

For both the tailor-customer and doctor-patient examples, personal data is an input used to improve an output (dress, suit, medical treatment) such that the improvement directly serves the interests of the person whose information is being used.

Emulating TypeScript functions

"serve": "tsc -w | firebase emulators:start --only functions",

Final Form makes the assumption that your validation functions are "pure" or "idempotent", i.e. will always return the same result when given the same values.

But it sounds like the library could use some way to setTouched()

withindex.js, we have a single source of truth, giving fine grained control on what we expose to the outside world.

The index.js file is the main entry point and imports and exports everything from internal.js that you want to expose to the outside world.

Doing so also means adding empty import statements to guarantee correct order of evaluation of modules (in ES modules, evaluation order is determined statically by the order of import declarations, whereas in CommonJS – and environments that simulate CommonJS by shipping a module loader, i.e. Browserify and Webpack – evaluation order is determined at runtime by the order in which require statements are encountered).

they're not invoking the function that _.debounce returns

All validators can be used independently. Inspried by functional programming paradigm, all built in validators are just functions.

FormValidation.validators.creditCard().validate({

FormValidation.formValidation(formElement

Deku is a library for rendering interfaces using pure functions and virtual DOM.

In these two languages, the "Function is a first-class citizen, which allows for aggregation of behaviors outside of the class.

If you need to call the function repeatedly, this is much, much faster than using eval.

This isn't really a bug, because if you have an async function that returns a function, it doesn't really return a function - it returns a promise. I don't remember whether the Svelte internals currently check for the onMount callback's return being a function or whether they check for it being truthy. Maybe there's some adjustment to be made there.

function* enumerate(iterable) { let i = 0; for (const x of iterable) { yield [i, x]; i++; } } for (const [i, obj] of enumerate(myArray)) { console.log(i, obj); }

functions present a problem again because there is no reliable way to compare two functions to see if they are semantically equivalent.

Note that to use the this context the test function must be a function expression (function test(value) {}), not an arrow function, since arrow functions have lexical context.

it supports dynamic loading and catalog-driven operations to let users customize its data types, functions, and more.

Många upplever sina största svårigheter i relationer med andra särskilt med de mest nära, kära och intima. Lev livet fullt ut visar oss hur våra relationer kan vara en ingång till ett andligt uppvaknande, om vi använder oss av dem på ett klokt och vist sätt.

name provided to a function expression as above is only available to the function's own scope

supports functional programming — because they are objects, functions may be stored in variables and passed around like any other object

Cloud Functions working on the server or WriteBatches working on the client

The section of code with exports.app = functions.https.onRequest(app); exposes your express application so that it can be accessed. If you don't have the exports section, your application won't start correctly

Firebase Functions enables you to use the ExpressJS library to host a Serverless API. Serverless is just a term for a system that runs without physical servers. This is a bit of a misnomer because it technically does run on a server, however, you’re letting the provider handle the hosting aspect

chose the term ad hoc polymorphism to refer to polymorphic functions that can be applied to arguments of different types, but that behave differently depending on the type of the argument to which they are applied (also known as function overloading or operator overloading)

    bar: {        (s: string): number;        (n: number): string;    }

(name: string): string

QS systems have been experimentally analyzed in more than 50 different bacterial species and shown to control expression of a wide spectrum of functions, including bioluminescence, virulence, symbiosis, different forms of motility, biofilm formation, production of antibiotics and toxins, and conjugation (49).

exogenous addition of AHLs to sludge resulted in long-lasting impacts on phenol degradation

Coordinated behaviours include bioluminescence3,4, virulence factor production5,6, secondary metabolite production7, competence for DNA uptake8,9 and biofilm formation10,11.

These carboxylated AHLs facilitated the transition from a short cell to filamentous growth, with an altered carbon metabolic flux that favoured the conversion of acetate to methane and a reduced yield in cellular biomass

Deletion of genes thatproduceN-acyl-L-homoserine lactone signals resulted in an increase in denitrification activity, which wasrepressed by exogenous signal molecules.

You have to augment the DateConstructor interface to add static properties:

Since TypeScript 1.4 static extensions can be added easily. The TypeScript team changed the lib.d.ts file to use interfaces for all static type definitions. The static type definitions are all named like [Type]Constructor: So if you want to add a static function to type Object, then add your definition to ObjectConstructor.

JsonSerializableStatic

explosion of findings that other bacterial species controlled genes for conjugation, exoenzyme production and antibiotic synthesis with luxI–luxR-like systems

Federal Reserve System

о «трех владыках материализма» – это «владыка формы», «владыка речи» и «владыка ума»

const sinon = require('sinon'); const mockResponse = () => { const res = {}; res.status = sinon.stub().returns(res); res.json = sinon.stub().returns(res); return res; };

To return data after an asynchronous operation, return a promise.

More details on the Green function theory may be found in standard text books on many-bodytheory (e.g. Nozi`eres 1964, Fetter and Walecka 1971, Inkson 1984, Mahan 1990) and in the reviewarticle by Hedin and Lundqvist (1969).