tweak: Continue building skeleton for Danger dmr
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@ -98,9 +98,9 @@ module Internals = {
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| Ok(IEvNumber(x)) => Ok(x)
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| Ok(IEvNumber(x)) => Ok(x)
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| Error(_) =>
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| Error(_) =>
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Error(
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Error(
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"Integration error 1 in Danger.integrate. It's possible that your function doesn't return a number, try definining auxiliaryFunction(x) = mean(yourFunction(x)) and integrate auxiliaryFunction instead",
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"Error 1 in Danger.integrate. It's possible that your function doesn't return a number, try definining auxiliaryFunction(x) = mean(yourFunction(x)) and integrate auxiliaryFunction instead",
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)
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)
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| _ => Error("Integration error 2 in Danger.integrate")
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| _ => Error("Error 2 in Danger.integrate")
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}
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}
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result
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result
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}
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}
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@ -209,9 +209,9 @@ module Internals = {
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| Ok(IEvNumber(x)) => Ok(x)
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| Ok(IEvNumber(x)) => Ok(x)
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| Error(_) =>
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| Error(_) =>
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Error(
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Error(
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"Integration error 1 in Danger.integrate. It's possible that your function doesn't return a number, try definining auxiliaryFunction(x) = mean(yourFunction(x)) and integrate auxiliaryFunction instead",
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"Integration error 1 in Danger.diminishingMarginalReturnsForTwoFunctions. It's possible that your function doesn't return a number, try definining auxiliaryFunction(x) = mean(yourFunction(x)) and integrate auxiliaryFunction instead",
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)
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)
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| _ => Error("Integration error 2 in Danger.integrate")
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| _ => Error("Integration error 2 in Danger.diminishingMarginalReturnsForTwoFunctions")
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}
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}
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result
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result
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}
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}
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@ -278,6 +278,17 @@ module Internals = {
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}
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}
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optimalAllocationResult
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optimalAllocationResult
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}
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}
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let diminishingMarginalReturnsForManyFunctionsSkeleton = (
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lambdas,
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funds,
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approximateIncrement,
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environment,
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reducer,
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) => {
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let result = [0.0, 0.0]->castArrayOfFloatsToInternalArrayOfInternals->Ok
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result
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}
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/*
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let diminishingMarginalReturnsForManyFunctions = (
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let diminishingMarginalReturnsForManyFunctions = (
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lambdas,
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lambdas,
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funds,
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funds,
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@ -290,27 +301,25 @@ module Internals = {
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1. O(n): Iterate through value on next n dollars. At each step, only compute the new marginal return of the function which is spent
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1. O(n): Iterate through value on next n dollars. At each step, only compute the new marginal return of the function which is spent
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2. O(n*m): Iterate through all possible spending combinations. Fun is, it doesn't assume that the returns of marginal spending are diminishing.
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2. O(n*m): Iterate through all possible spending combinations. Fun is, it doesn't assume that the returns of marginal spending are diminishing.
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*/
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*/
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let applyFunctionAtFloatToFloatOption = (lambda, point: float) => {
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let applyFunctionAtFloatToFloatOption = (lambda, point: float) => {
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// Defined here so that it has access to environment, reducer
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// Defined here so that it has access to environment, reducer
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let pointAsInternalExpression = castFloatToInternalNumber(point)
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let pointAsInternalExpression = castFloatToInternalNumber(point)
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let resultAsInternalExpression = Reducer_Expression_Lambda.doLambdaCall(
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let resultAsInternalExpression = Reducer_Expression_Lambda.doLambdaCall(
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lambda,
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lambda,
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list{pointAsInternalExpression},
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list{pointAsInternalExpression},
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environment,
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environment,
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reducer,
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reducer,
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)
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)
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let result = switch resultAsInternalExpression {
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let result = switch resultAsInternalExpression {
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| Ok(IEvNumber(x)) => Ok(x)
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| Ok(IEvNumber(x)) => Ok(x)
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| Error(_) =>
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| Error(_) =>
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Error(
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Error(
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"Integration error 1 in Danger.integrate. It's possible that your function doesn't return a number, try definining auxiliaryFunction(x) = mean(yourFunction(x)) and integrate auxiliaryFunction instead",
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"Error 1 in Danger.diminishingMarginalReturnsForManyFunctions. It's possible that your function doesn't return a number, try definining auxiliaryFunction(x) = mean(yourFunction(x)) and integrate auxiliaryFunction instead",
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)
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)
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| _ => Error("Integration error 2 in Danger.integrate")
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| _ => Error("Error 2 in Danger.diminishingMarginalReturnsForManyFunctions")
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}
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}
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result
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result
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}
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}
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/*
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let numDivisions = Js.Math.round(funds /. approximateIncrement)
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let numDivisions = Js.Math.round(funds /. approximateIncrement)
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let numDivisionsInt = Belt.Float.toInt(numDivisions)
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let numDivisionsInt = Belt.Float.toInt(numDivisions)
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let increment = funds /. numDivisions
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let increment = funds /. numDivisions
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@ -368,11 +377,10 @@ module Internals = {
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| Ok(inner) => Ok(castArrayOfFloatsToInternalArrayOfInternals(inner.optimalAllocations))
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| Ok(inner) => Ok(castArrayOfFloatsToInternalArrayOfInternals(inner.optimalAllocations))
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| Error(b) => Error(b)
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| Error(b) => Error(b)
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}
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}
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// optimalAllocationResult
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optimalAllocationResult
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*/
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//let result = [0.0, 0.0]->castArrayOfFloatsToInternalArrayOfInternals->Ok
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let result = [0.0, 0.0]->castArrayOfFloatsToInternalArrayOfInternals->Ok
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// result
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result
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}*/
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}
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}
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}
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let library = [
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let library = [
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@ -580,6 +588,42 @@ let library = [
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],
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],
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(),
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(),
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),
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),
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Function.make(
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~name="diminishingMarginalReturnsForFunctions3",
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~nameSpace,
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~output=EvtArray,
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~requiresNamespace=false,
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~examples=[
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`Danger.diminishingMarginalReturnsForFunctions3({|x| x+1}, {|y| 10}, {|z| 20-2x}, 100, 0.01)`,
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],
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~definitions=[
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FnDefinition.make(
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~name="diminishingMarginalReturnsForFunctions3",
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~inputs=[FRTypeLambda, FRTypeLambda, FRTypeLambda, FRTypeNumber, FRTypeNumber],
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~run=(inputs, _, env, reducer) =>
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switch inputs {
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| [
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IEvLambda(lambda1),
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IEvLambda(lambda2),
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IEvLambda(lambda3),
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IEvNumber(funds),
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IEvNumber(approximateIncrement),
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] =>
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Internals.diminishingMarginalReturnsForManyFunctionsSkeleton(
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[lambda1, lambda2, lambda3],
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funds,
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approximateIncrement,
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env,
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reducer,
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)
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| _ => Error("Error in Danger.diminishingMarginalReturnsForFunctions3")
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},
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(),
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),
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],
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(),
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),
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/* The following will compile, but not work, because of this bug: <https://github.com/quantified-uncertainty/squiggle/issues/558> Instead, I am creating different functions for different numbers of inputs
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Function.make(
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Function.make(
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~name="diminishingMarginalReturnsForManyFunctions",
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~name="diminishingMarginalReturnsForManyFunctions",
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~nameSpace,
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~nameSpace,
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@ -595,7 +639,7 @@ let library = [
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~run=(inputs, _, environment, reducer) =>
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~run=(inputs, _, environment, reducer) =>
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switch inputs {
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switch inputs {
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| [IEvArray(innerlambdas), IEvNumber(funds), IEvNumber(approximateIncrement)] => {
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| [IEvArray(innerlambdas), IEvNumber(funds), IEvNumber(approximateIncrement)] => {
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/*let individuallyWrappedLambdas = E.A.fmap(innerLambda => {
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let individuallyWrappedLambdas = E.A.fmap(innerLambda => {
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switch innerLambda {
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switch innerLambda {
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| ReducerInterface_InternalExpressionValue.IEvLambda(lambda) => Ok(lambda)
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| ReducerInterface_InternalExpressionValue.IEvLambda(lambda) => Ok(lambda)
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| _ =>
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| _ =>
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@ -618,9 +662,7 @@ let library = [
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}
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}
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| Error(b) => Error(b)
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| Error(b) => Error(b)
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}
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}
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result
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result //Error("wtf man")
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*/
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Error("wtf man")
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}
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}
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| _ => Error("Error in Danger.diminishingMarginalReturnsForTwoFunctions")
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| _ => Error("Error in Danger.diminishingMarginalReturnsForTwoFunctions")
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},
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},
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@ -629,39 +671,5 @@ let library = [
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],
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],
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(),
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(),
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),
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),
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/*
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*/
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Function.make(
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~name="diminishingMarginalReturnsForManyFunctions",
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~nameSpace,
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~output=EvtArray,
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~requiresNamespace=false,
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~examples=[
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`Danger.diminishingMarginalReturnsForManyFunctions([{|x| x+1}, {|y| 10}, {|z| 20 - 2*z}], 100, 0.01)`,
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],
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~definitions=[
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FnDefinition.make(
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~name="diminishingMarginalReturnsForManyFunctions",
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~inputs=[FRTypeArray(FRTypeLambda), FRTypeNumber, FRTypeNumber],
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~run=(inputs, _, env, reducer) =>
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switch inputs {
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| [IEvArray(innerlambdas), IEvNumber(funds), IEvNumber(approximateIncrement)] => {
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let result = [0.0, 0.0]->Internals.castArrayOfFloatsToInternalArrayOfInternals->Ok
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result
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}
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/*
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Internals.diminishingMarginalReturnsForManyFunctions(
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innerlambdas,
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funds,
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approximateIncrement,
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env,
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reducer,
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)*/
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| _ => Error("Error in Danger.diminishingMarginalReturnsForManyFunctions")
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},
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(),
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),
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],
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(),
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),*/
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]
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]
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