Class: default #

lib/break_eternity.default

The Decimal's value is simply mantissa * 10^exponent.

Constructors #

constructor #

• new default(value?)

Parameters #

Properties #

layer #

• layer: number = Number.NaN

Defined in #

profectus/src/lib/break_eternity.ts:507

mag #

• mag: number = Number.NaN

Defined in #

profectus/src/lib/break_eternity.ts:506

sign #

• sign: number = Number.NaN

Defined in #

profectus/src/lib/break_eternity.ts:505

dInf #

▪ Static Readonly dInf: default

Defined in #

profectus/src/lib/break_eternity.ts:500

dNaN #

▪ Static Readonly dNaN: default

Defined in #

profectus/src/lib/break_eternity.ts:499

dNegInf #

▪ Static Readonly dNegInf: default

Defined in #

profectus/src/lib/break_eternity.ts:501

dNegOne #

▪ Static Readonly dNegOne: default

Defined in #

profectus/src/lib/break_eternity.ts:496

dNumberMax #

▪ Static Readonly dNumberMax: default

Defined in #

profectus/src/lib/break_eternity.ts:502

dNumberMin #

▪ Static Readonly dNumberMin: default

Defined in #

profectus/src/lib/break_eternity.ts:503

dOne #

▪ Static Readonly dOne: default

Defined in #

profectus/src/lib/break_eternity.ts:495

dTen #

▪ Static Readonly dTen: default

Defined in #

profectus/src/lib/break_eternity.ts:498

dTwo #

▪ Static Readonly dTwo: default

Defined in #

profectus/src/lib/break_eternity.ts:497

dZero #

▪ Static Readonly dZero: default

Defined in #

profectus/src/lib/break_eternity.ts:494

Accessors #

e #

• get e(): number

Returns #

number

• set e(value): void

Parameters #

Returns #

void

exponent #

• get exponent(): number

Returns #

number

• set exponent(value): void

Parameters #

Returns #

void

m #

• get m(): number

Returns #

number

• set m(value): void

Parameters #

Returns #

void

mantissa #

• get mantissa(): number

Returns #

number

• set mantissa(value): void

Parameters #

Returns #

void

s #

• get s(): number

Returns #

number

• set s(value): void

Parameters #

Returns #

void

Methods #

abs #

▸ abs(): default

Returns #

default

absLog10 #

▸ absLog10(): default

Returns #

default

acos #

▸ acos(): default

Returns #

default

acosh #

▸ acosh(): default

Returns #

default

add #

▸ add(value): default

Parameters #

Returns #

default

ascensionPenalty #

▸ ascensionPenalty(ascensions): default

Joke function from Realm Grinder

Parameters #

Returns #

default

asin #

▸ asin(): default

Returns #

default

asinh #

▸ asinh(): default

Returns #

default

atan #

▸ atan(): default

Returns #

default

atanh #

▸ atanh(): default

Returns #

default

cbrt #

▸ cbrt(): default

Returns #

default

ceil #

▸ ceil(): default

Returns #

default

clamp #

▸ clamp(min, max): default

Parameters #

Returns #

default

clampMax #

▸ clampMax(max): default

Parameters #

Returns #

default

clampMin #

▸ clampMin(min): default

Parameters #

Returns #

default

cmp #

▸ cmp(value): CompareResult

-1 for less than value, 0 for equals value, 1 for greater than value

Parameters #

Returns #

CompareResult

cmp_tolerance #

▸ cmp_tolerance(value, tolerance): CompareResult

Parameters #

Returns #

CompareResult

cmpabs #

▸ cmpabs(value): CompareResult

Parameters #

Returns #

CompareResult

compare #

▸ compare(value): CompareResult

Parameters #

Returns #

CompareResult

compare_tolerance #

▸ compare_tolerance(value, tolerance): CompareResult

Parameters #

Returns #

CompareResult

cos #

▸ cos(): default

Returns #

default

cosh #

▸ cosh(): default

Returns #

default

cube #

▸ cube(): default

Returns #

default

div #

▸ div(value): default

Parameters #

Returns #

default

divide #

▸ divide(value): default

Parameters #

Returns #

default

divideBy #

▸ divideBy(value): default

Parameters #

Returns #

default

dividedBy #

▸ dividedBy(value): default

Parameters #

Returns #

default

egg #

▸ egg(): default

Joke function from Cookie Clicker. It's 'egg'

Returns #

default

eq #

▸ eq(value): boolean

Parameters #

Returns #

boolean

eq_tolerance #

▸ eq_tolerance(value, tolerance): boolean

Tolerance is a relative tolerance, multiplied by the greater of the magnitudes of the two arguments. For example, if you put in 1e-9, then any number closer to the larger number than (larger number)*1e-9 will be considered equal.

Parameters #

Returns #

boolean

equals #

▸ equals(value): boolean

Parameters #

Returns #

boolean

equals_tolerance #

▸ equals_tolerance(value, tolerance): boolean

Parameters #

Returns #

boolean

exp #

▸ exp(): default

Returns #

default

factorial #

▸ factorial(): default

Returns #

default

floor #

▸ floor(): default

Returns #

default

fromComponents #

▸ fromComponents(sign, layer, mag): default

Parameters #

Returns #

default

fromComponents_noNormalize #

▸ fromComponents_noNormalize(sign, layer, mag): default

Parameters #

Returns #

default

fromDecimal #

▸ fromDecimal(value): default

Parameters #

Returns #

default

fromMantissaExponent #

▸ fromMantissaExponent(mantissa, exponent): default

Parameters #

Returns #

default

fromMantissaExponent_noNormalize #

▸ fromMantissaExponent_noNormalize(mantissa, exponent): default

Parameters #

Returns #

default

fromNumber #

▸ fromNumber(value): default

Parameters #

Returns #

default

fromString #

▸ fromString(value): default

Parameters #

Returns #

default

fromValue #

▸ fromValue(value): default

Parameters #

Returns #

default

gamma #

▸ gamma(): default

Returns #

default

greaterThan #

▸ greaterThan(other): boolean

Parameters #

Returns #

boolean

greaterThanOrEqualTo #

▸ greaterThanOrEqualTo(other): boolean

Parameters #

Returns #

boolean

gt #

▸ gt(value): boolean

Parameters #

Returns #

boolean

gt_tolerance #

▸ gt_tolerance(value, tolerance): boolean

Parameters #

Returns #

boolean

gte #

▸ gte(value): boolean

Parameters #

Returns #

boolean

gte_tolerance #

▸ gte_tolerance(value, tolerance): boolean

Parameters #

Returns #

boolean

isFinite #

▸ isFinite(): boolean

Returns #

boolean

isNan #

▸ isNan(): boolean

Returns #

boolean

iteratedexp #

▸ iteratedexp(height?, payload?): default

Parameters #

Returns #

default

iteratedlog #

▸ iteratedlog(base?, times?): default

Parameters #

Returns #

default

lambertw #

▸ lambertw(): default

Returns #

default

layeradd #

▸ layeradd(diff, base): default

Parameters #

Returns #

default

layeradd10 #

▸ layeradd10(diff): default

Parameters #

Returns #

default

lessThan #

▸ lessThan(other): boolean

Parameters #

Returns #

boolean

lessThanOrEqualTo #

▸ lessThanOrEqualTo(other): boolean

Parameters #

Returns #

boolean

ln #

▸ ln(): default

Returns #

default

lngamma #

▸ lngamma(): default

Returns #

default

log #

▸ log(base): default

Parameters #

Returns #

default

log10 #

▸ log10(): default

Returns #

default

log2 #

▸ log2(): default

Returns #

default

logarithm #

▸ logarithm(base): default

Parameters #

Returns #

default

lt #

▸ lt(value): boolean

Parameters #

Returns #

boolean

lt_tolerance #

▸ lt_tolerance(value, tolerance): boolean

Parameters #

Returns #

boolean

lte #

▸ lte(value): boolean

Parameters #

Returns #

boolean

lte_tolerance #

▸ lte_tolerance(value, tolerance): boolean

Parameters #

Returns #

boolean

magnitudeWithDecimalPlaces #

▸ magnitudeWithDecimalPlaces(places): number

Parameters #

Returns #

number

mantissaWithDecimalPlaces #

▸ mantissaWithDecimalPlaces(places): number

Parameters #

Returns #

number

max #

▸ max(value): default

Parameters #

Returns #

default

maxabs #

▸ maxabs(value): default

Parameters #

Returns #

default

min #

▸ min(value): default

Parameters #

Returns #

default

minabs #

▸ minabs(value): default

Parameters #

Returns #

default

minus #

▸ minus(value): default

Parameters #

Returns #

default

mul #

▸ mul(value): default

Parameters #

Returns #

default

multiply #

▸ multiply(value): default

Parameters #

Returns #

default

neg #

▸ neg(): default

Returns #

default

negate #

▸ negate(): default

Returns #

default

negated #

▸ negated(): default

Returns #

default

neq #

▸ neq(value): boolean

Parameters #

Returns #

boolean

neq_tolerance #

▸ neq_tolerance(value, tolerance): boolean

Parameters #

Returns #

boolean

normalize #

▸ normalize(): default

Returns #

default

notEquals #

▸ notEquals(value): boolean

Parameters #

Returns #

boolean

notEquals_tolerance #

▸ notEquals_tolerance(value, tolerance): boolean

Parameters #

Returns #

boolean

pLog10 #

▸ pLog10(): default

Returns #

default

pentate #

▸ pentate(height?, payload?): default

Parameters #

Returns #

default

plus #

▸ plus(value): default

Parameters #

Returns #

default

pow #

▸ pow(value): default

Parameters #

Returns #

default

pow10 #

▸ pow10(): default

Returns #

default

pow_base #

▸ pow_base(value): default

Parameters #

Returns #

default

recip #

▸ recip(): default

Returns #

default

reciprocal #

▸ reciprocal(): default

Returns #

default

reciprocate #

▸ reciprocate(): default

Returns #

default

root #

▸ root(value): default

Parameters #

Returns #

default

round #

▸ round(): default

Returns #

default

sgn #

▸ sgn(): number

Returns #

number

sin #

▸ sin(): default

Returns #

default

sinh #

▸ sinh(): default

Returns #

default

slog #

▸ slog(base?): default

Parameters #

Returns #

default

sqr #

▸ sqr(): default

Returns #

default

sqrt #

▸ sqrt(): default

Returns #

default

ssqrt #

▸ ssqrt(): default

Returns #

default

sub #

▸ sub(value): default

Parameters #

Returns #

default

subtract #

▸ subtract(value): default

Parameters #

Returns #

default

tan #

▸ tan(): default

Returns #

default

tanh #

▸ tanh(): default

Returns #

default

tetrate #

▸ tetrate(height?, payload?): default

Parameters #

Returns #

default

times #

▸ times(value): default

Parameters #

Returns #

default

toExponential #

▸ toExponential(places): string

Parameters #

Returns #

string

toFixed #

▸ toFixed(places): string

Parameters #

Returns #

string

toJSON #

▸ toJSON(): string

Returns #

string

toNumber #

▸ toNumber(): number

Returns #

number

toPrecision #

▸ toPrecision(places): string

Parameters #

Returns #

string

toString #

▸ toString(): string

Returns #

string

toStringWithDecimalPlaces #

▸ toStringWithDecimalPlaces(places): string

Parameters #

Returns #

string

trunc #

▸ trunc(): default

Returns #

default

valueOf #

▸ valueOf(): string

Returns #

string

abs #

▸ Static abs(value): default

Parameters #

Returns #

default

absLog10 #

▸ Static absLog10(value): default

Parameters #

Returns #

default

add #

▸ Static add(value, other): default

Parameters #

Returns #

default

affordArithmeticSeries #

▸ Static affordArithmeticSeries(resourcesAvailable, priceStart, priceAdd, currentOwned): default

If you're willing to spend 'resourcesAvailable' and want to buy something with additively increasing cost each purchase (start at priceStart, add by priceAdd, already own currentOwned), how much of it can you buy?

Parameters #

Returns #

default

affordArithmeticSeries_core #

▸ Static affordArithmeticSeries_core(resourcesAvailable, priceStart, priceAdd, currentOwned): default

Parameters #

Returns #

default

affordGeometricSeries #

▸ Static affordGeometricSeries(resourcesAvailable, priceStart, priceRatio, currentOwned): default

If you're willing to spend 'resourcesAvailable' and want to buy something with exponentially increasing cost each purchase (start at priceStart, multiply by priceRatio, already own currentOwned), how much of it can you buy? Adapted from Trimps source code.

Parameters #

Returns #

default

affordGeometricSeries_core #

▸ Static affordGeometricSeries_core(resourcesAvailable, priceStart, priceRatio, currentOwned): default

Parameters #

Returns #

default

cbrt #

▸ Static cbrt(value): default

Parameters #

Returns #

default

ceil #

▸ Static ceil(value): default

Parameters #

Returns #

default

clamp #

▸ Static clamp(value, min, max): default

Parameters #

Returns #

default

clampMax #

▸ Static clampMax(value, max): default

Parameters #

Returns #

default

clampMin #

▸ Static clampMin(value, min): default

Parameters #

Returns #

default

cmp #

▸ Static cmp(value, other): CompareResult

Parameters #

Returns #

CompareResult

cmp_tolerance #

▸ Static cmp_tolerance(value, other, tolerance): CompareResult

Parameters #

Returns #

CompareResult

cmpabs #

▸ Static cmpabs(value, other): CompareResult

Parameters #

Returns #

CompareResult

compare #

▸ Static compare(value, other): CompareResult

Parameters #

Returns #

CompareResult

compare_tolerance #

▸ Static compare_tolerance(value, other, tolerance): CompareResult

Parameters #

Returns #

CompareResult

critical_section #

▸ Static critical_section(base, height, grid): number

Parameters #

Returns #

number

cube #

▸ Static cube(value): default

Parameters #

Returns #

default

div #

▸ Static div(value, other): default

Parameters #

Returns #

default

divide #

▸ Static divide(value, other): default

Parameters #

Returns #

default

efficiencyOfPurchase #

▸ Static efficiencyOfPurchase(cost, currentRpS, deltaRpS): default

When comparing two purchases that cost (resource) and increase your resource/sec by (deltaRpS), the lowest efficiency score is the better one to purchase. From Frozen Cookies: http://cookieclicker.wikia.com/wiki/Frozen_Cookies_(JavaScript_Add-on)#Efficiency.3F_What.27s_that.3F

Parameters #

Returns #

default

efficiencyOfPurchase_core #

▸ Static efficiencyOfPurchase_core(cost, currentRpS, deltaRpS): default

Parameters #

Returns #

default

eq #

▸ Static eq(value, other): boolean

Parameters #

Returns #

boolean

eq_tolerance #

▸ Static eq_tolerance(value, other, tolerance): boolean

Parameters #

Returns #

boolean

equals #

▸ Static equals(value, other): boolean

Parameters #

Returns #

boolean

equals_tolerance #

▸ Static equals_tolerance(value, other, tolerance): boolean

Parameters #

Returns #

boolean

exp #

▸ Static exp(value): default

Parameters #

Returns #

default

factorial #

▸ Static factorial(value, _other?): default

Parameters #

Returns #

default

floor #

▸ Static floor(value): default

Parameters #

Returns #

default

fromComponents #

▸ Static fromComponents(sign, layer, mag): default

Parameters #

Returns #

default

fromComponents_noNormalize #

▸ Static fromComponents_noNormalize(sign, layer, mag): default

Parameters #

Returns #

default

fromDecimal #

▸ Static fromDecimal(value): default

Parameters #

Returns #

default

fromMantissaExponent #

▸ Static fromMantissaExponent(mantissa, exponent): default

Parameters #

Returns #

default

fromMantissaExponent_noNormalize #

▸ Static fromMantissaExponent_noNormalize(mantissa, exponent): default

Parameters #

Returns #

default

fromNumber #

▸ Static fromNumber(value): default

Parameters #

Returns #

default

fromString #

▸ Static fromString(value): default

Parameters #

Returns #

default

fromValue #

▸ Static fromValue(value): default

Parameters #

Returns #

default

fromValue_noAlloc #

▸ Static fromValue_noAlloc(value): default

Parameters #

Returns #

default

gamma #

▸ Static gamma(value, _other?): default

Parameters #

Returns #

default

gt #

▸ Static gt(value, other): boolean

Parameters #

Returns #

boolean

gt_tolerance #

▸ Static gt_tolerance(value, other, tolerance): boolean

Parameters #

Returns #

boolean

gte #

▸ Static gte(value, other): boolean

Parameters #

Returns #

boolean

gte_tolerance #

▸ Static gte_tolerance(value, other, tolerance): boolean

Parameters #

Returns #

boolean

isFinite #

▸ Static isFinite(value): boolean

Parameters #

Returns #

boolean

isNaN #

▸ Static isNaN(value): boolean

Parameters #

Returns #

boolean

iteratedexp #

▸ Static iteratedexp(value, height?, payload?): default

Parameters #

Returns #

default

iteratedlog #

▸ Static iteratedlog(value, base?, times?): default

Parameters #

Returns #

default

lambertw #

▸ Static lambertw(value): default

Parameters #

Returns #

default

layeradd #

▸ Static layeradd(value, diff, base?): default

Parameters #

Returns #

default

layeradd10 #

▸ Static layeradd10(value, diff): default

Parameters #

Returns #

default

ln #

▸ Static ln(value): default

Parameters #

Returns #

default

lngamma #

▸ Static lngamma(value, _other?): default

Parameters #

Returns #

default

log #

▸ Static log(value, base): default

Parameters #

Returns #

default

log10 #

▸ Static log10(value): default

Parameters #

Returns #

default

log2 #

▸ Static log2(value): default

Parameters #

Returns #

default

logarithm #

▸ Static logarithm(value, base): default

Parameters #

Returns #

default

lt #

▸ Static lt(value, other): boolean

Parameters #

Returns #

boolean

lt_tolerance #

▸ Static lt_tolerance(value, other, tolerance): boolean

Parameters #

Returns #

boolean

lte #

▸ Static lte(value, other): boolean

Parameters #

Returns #

boolean

lte_tolerance #

▸ Static lte_tolerance(value, other, tolerance): boolean

Parameters #

Returns #

boolean

max #

▸ Static max(value, other): default

Parameters #

Returns #

default

maxabs #

▸ Static maxabs(value, other): default

Parameters #

Returns #

default

min #

▸ Static min(value, other): default

Parameters #

Returns #

default

minabs #

▸ Static minabs(value, other): default

Parameters #

Returns #

default

minus #

▸ Static minus(value, other): default

Parameters #

Returns #

default

mul #

▸ Static mul(value, other): default

Parameters #

Returns #

default

multiply #

▸ Static multiply(value, other): default

Parameters #

Returns #

default

neg #

▸ Static neg(value): default

Parameters #

Returns #

default

negate #

▸ Static negate(value): default

Parameters #

Returns #

default

negated #

▸ Static negated(value): default

Parameters #

Returns #

default

neq #

▸ Static neq(value, other): boolean

Parameters #

Returns #

boolean

neq_tolerance #

▸ Static neq_tolerance(value, other, tolerance): boolean

Parameters #

Returns #

boolean

notEquals #

▸ Static notEquals(value, other): boolean

Parameters #

Returns #

boolean

notEquals_tolerance #

▸ Static notEquals_tolerance(value, other, tolerance): boolean

Parameters #

Returns #

boolean

pLog10 #

▸ Static pLog10(value): default

Parameters #

Returns #

default

pentate #

▸ Static pentate(value, height?, payload?): default

Parameters #

Returns #

default

plus #

▸ Static plus(value, other): default

Parameters #

Returns #

default

pow #

▸ Static pow(value, other): default

Parameters #

Returns #

default

pow10 #

▸ Static pow10(value): default

Parameters #

Returns #

default

randomDecimalForTesting #

▸ Static randomDecimalForTesting(maxLayers): default

Parameters #

Returns #

default

recip #

▸ Static recip(value): default

Parameters #

Returns #

default

reciprocal #

▸ Static reciprocal(value): default

Parameters #

Returns #

default

reciprocate #

▸ Static reciprocate(value): default

Parameters #

Returns #

default

root #

▸ Static root(value, other): default

Parameters #

Returns #

default

round #

▸ Static round(value): default

Parameters #

Returns #

default

sgn #

▸ Static sgn(value): number

Parameters #

Returns #

number

sign #

▸ Static sign(value): number

Parameters #

Returns #

number

slog #

▸ Static slog(value, base?): default

Parameters #

Returns #

default

slog_critical #

▸ Static slog_critical(base, height): number

Parameters #

Returns #

number

sqr #

▸ Static sqr(value): default

Parameters #

Returns #

default

sqrt #

▸ Static sqrt(value): default

Parameters #

Returns #

default

ssqrt #

▸ Static ssqrt(value): default

Parameters #

Returns #

default

sub #

▸ Static sub(value, other): default

Parameters #

Returns #

default

subtract #

▸ Static subtract(value, other): default

Parameters #

Returns #

default

sumArithmeticSeries #

▸ Static sumArithmeticSeries(numItems, priceStart, priceAdd, currentOwned): default

How much resource would it cost to buy (numItems) items if you already have currentOwned, the initial price is priceStart and it adds priceAdd each purchase? Adapted from http://www.mathwords.com/a/arithmetic_series.htm

Parameters #

Returns #

default

sumArithmeticSeries_core #

▸ Static sumArithmeticSeries_core(numItems, priceStart, priceAdd, currentOwned): default

Parameters #

Returns #

default

sumGeometricSeries #

▸ Static sumGeometricSeries(numItems, priceStart, priceRatio, currentOwned): default

How much resource would it cost to buy (numItems) items if you already have currentOwned, the initial price is priceStart and it multiplies by priceRatio each purchase?

Parameters #

Returns #

default

sumGeometricSeries_core #

▸ Static sumGeometricSeries_core(numItems, priceStart, priceRatio, currentOwned): default

Parameters #

Returns #

default

tetrate #

▸ Static tetrate(value, height?, payload?): default

Parameters #

Returns #

default

tetrate_critical #

▸ Static tetrate_critical(base, height): number

Parameters #

Returns #

number

times #

▸ Static times(value, other): default

Parameters #

Returns #

default

trunc #

▸ Static trunc(value): default

Parameters #

Returns #

default