fp-filters - v0.5.3
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    fp-filters - v0.5.3

    https://github.com/Oaxoa/fp-filters

    fp-filters

    A curated collection of 130+ common-use filter functions that are written (and can be used) in a functional programming style.

    fp-filters allows you to stop rewriting the same code over and over again and greatly improves readability. So that you will probably never write another filter function πŸš€!

    And if you do, you can make it generic enough and submit a PR here πŸ˜‰

    A few random examples of the 130+ functions available in fp-filters. Grouped by semantic. See full docs here: https://oaxoa.github.io/fp-filters/

    const input = [[1, 2, 3], [2, 4], [0, 4, 8, 16]];
    // JS
    input.filter((array) => array.every((element) => element % 2 === 0));
    // fp-filters
    input.filter(everyElement(isEven))
    // JS
    array.filter((arg) => arg === true);
    // fp-filters
    array.filter(isTrue);
    // JS
    dates.filter((date) => {
    const day = date.getDay();
    return day === 0 || day === 6;
    });
    // fp-filters
    dates.filter(isWeekend);
    // JS
    array.filter((arg) => arg.length > 0);
    // fp-filters
    array.filter(isNotEmpty);
    // JS
    ids.filter((id) => id === currentUserId);
    // fp-filters
    ids.filter(is(currentUserId));
    // JS
    scores.filter((value) => value !== 0);
    // fp-filters
    scores.filter(isNotZero);
    // JS
    array.filter((arg) => arg % 2 === 0);
    // fp-filters
    array.filter(isEven);
    // JS
    array.filter((arg) => arg >= 10 && arg <= 50);
    // fp-filters
    array.filter(isBetween(10, 50));
    // JS
    products.filter((obj) => obj.id !== undefined && obj.plu !== undefined);
    // fp-filters
    products.filter(hasProps(['id', 'plu']));
    // JS
    products.find((obj) => obj.country === countryId && obj.plu === plu);
    // fp-filters
    products.find(hasProps(['country', 'plu'], [countryId, plu]));
    // JS
    array.filter((obj) => obj.id === someOtherObj.id && obj.brand === someOtherObj.brand);
    // fp-filters
    array.filter(hasSameProps(someOtherObj, ['id', 'brand']));
    // JS
    array.filter((arg, index) => index % 3 === 1 || index % 3 === 2);
    // fp-filters
    array.filter(pattern(false, true, true));
    // JS
    array.filter((arg, index) => index % 3 === 1);
    // fp-filters
    array.filter(isEveryNthIndex(3, 1));
    // JS
    array.filter((arg) => arg === '');
    // fp-filters
    array.filter(isEmptyString);
    // JS
    array.filter((arg: string) => {
    for (let i = 0; i < arg.length / 2; i++) {
    if (arg[i] !== arg[arg.length - i - 1]) {
    return false;
    }
    }
    return true;
    });
    // fp-filters
    array.filter(isPalindrome);
    // JS
    array.filter((arg) => arg !== undefined);
    // fp-filters
    array.filter(isNotUndefined);
    // JS
    array.filter((arg) => typeof arg === 'boolean');
    // fp-filters
    array.filter(isBoolean);
    // do not be tricked by `array.filter(Boolean);`. It is different as
    // it casts the content and then evaluate its truthyness

    Most of the functions include aliases for their negated versions ( using fp-booleans):

    // E.g.: 
    array.filter(is(5))
    array.filter(isNot(5))

    array.filter(isBetween(5, 10))
    array.filter(isNotBetween(5, 10))

    array.filter(isEmpty)
    array.filter(isNotEmpty)

    array.filter(isInstanceOf(SomeClass));
    array.filter(isNotInstanceOf(SomeClass));

    but you can make your own.

    fp-filters leaverages fp-booleans's very powerful functions to combine or negate functions

    some examples:

    const isNot = not(is);
    array.filter(isNot(5));

    const canBeDiscounted = (minPrice) => and(isGreaterOrEqualTo(minPrice), not(isRound));
    array.filter(canBeDiscounted(10));

    const isValidAdmin = or(is('admin'), and(startsWith('user_'), isLowerCase))
    array.filter(isValidAdmin);

    fp-filters functions are predicates. Just like array filters are. They get arguments and return a boolean. They can be used as such. But they shine when used as filters.

    fp-filters functions are:

    All are pure. Some are higher-order and unlocks the power of partial application in filters.

    Most are one-liners. The longest is ~10 lines.

    Higher-order predicates and fp-booleans unleash quite some power

    Most of them have zero deps. Some of them have 1 dependency on fp-booleans (that has zero deps). No surprises.

    No barrel files, or entry points.

    You import and bundle only what you use. No way to mess it up.

    If you use one function only, that's what goes in your bundle. The cost of it is in bytes.

    Just as it would cost to write the function yourself. But with free 100% coverage testing, types, docs and no risk of duplicated code.

    Function for numbers, function for strings, you get the point. So you will always intuitively know where to find the one you need.

    Yes, all of them are tested. Every branch, every line. 130+ stable unit tests running in less than 1s.

    Functions that are partial applications of other 100% tested functions (from fp-filters or fp-booleans) are not tested. On purpose.

    All functions are fully typed. No any type, some unknown. Working on it. Help is appreciated ❀️.

    fp-filters runs on Node.js and is available as a NPM package.

    npm install --save fp-filters
    

    or

    yarn add fp-filters
    
    1. Coding style
    2. Contributing guide
    3. Code of Conduct

    MIT

    Copyright (c) 2023-present, Pierluigi Pesenti (Oaxoa)