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leaderboardLib.tsx
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leaderboardLib.tsx
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import React from "react"
import styles from "./Leaderboard.module.css"
import { exec } from "child_process"
function mean(array: Array<number>) {
return array.reduce((a, b) => a + b, 0) / array.length
}
function formatNumber(number: number) {
return Number(number.toFixed(1))
}
/**
* ```python
* def _get_pass_at_1(model):
* results = results_df[results_df["model"] == model]
* # date filter
* results = results[results["date"] >= start]
* results = results[results["date"] <= end]
* average_pass = results["pass@1"].mean()
* easy_pass = results[results["difficulty"] == "easy"]["pass@1"].mean()
* medium_pass = results[results["difficulty"] == "medium"]["pass@1"].mean()
* hard_pass = results[results["difficulty"] == "hard"]["pass@1"].mean()
* atcoder_pass = results[results["platform"] == "atcoder"]["pass@1"].mean()
* codeforces_pass = results[results["platform"] == "codeforces"]["pass@1"].mean()
* leetcode_pass = results[results["platform"] == "leetcode"]["pass@1"].mean()
* # print(results['platform'].value_counts())
* hard_results = results[results["difficulty"] == "hard"]
* print(model, "-->", hard_results[(hard_results["pass@1"] > 0)].question_id.tolist())
* return (
* average_pass,
* easy_pass,
* medium_pass,
* hard_pass,
* atcoder_pass,
* leetcode_pass,
* codeforces_pass,
* )
* ```
*/
function get_pass_at_1(
results_df: Array<any>,
model: string,
start: number,
end: number
) {
// model and date filter
const results = results_df.filter(
(result) =>
result["model"] === model &&
result["date"] >= start &&
result["date"] <= end
)
const average_pass = formatNumber(
mean(results.map((result) => result["pass@1"]))
)
const easy_pass = formatNumber(
mean(
results
.filter((result) => result["difficulty"] === "easy")
.map((result) => result["pass@1"])
)
)
const medium_pass = formatNumber(
mean(
results
.filter((result) => result["difficulty"] === "medium")
.map((result) => result["pass@1"])
)
)
const hard_pass = formatNumber(
mean(
results
.filter((result) => result["difficulty"] === "hard")
.map((result) => result["pass@1"])
)
)
const exec_pass = formatNumber(
mean(results.map((result) => result["Pass@1"]))
)
const cot_pass = formatNumber(
mean(results.map((result) => result["Pass@1-COT"]))
)
// console.log("COT PASS: ", cot_pass, cot_pass != undefined, cot_pass != null, cot_pass.toString() != "NaN")
return {
average_pass,
easy_pass,
medium_pass,
hard_pass,
exec_pass,
cot_pass,
}
}
/**
*
* ```python
* pd.DataFrame(
* {
* model: {
* "Model": model.model_repr,
* "Release Date": model.release_date.date(),
* "Contaminated": model.release_date > start,
* "Pass@1": _get_pass_at_1(model.model_repr)[0],
* "Easy-Pass@1": _get_pass_at_1(model.model_repr)[1],
* "Medium-Pass@1": _get_pass_at_1(model.model_repr)[2],
* "Hard-Pass@1": _get_pass_at_1(model.model_repr)[3],
* # "AtCoder-Pass@1": _get_pass_at_1(
* # model.model_repr
* # )[4],
* # "LeetCode-Pass@1": _get_pass_at_1(
* # model.model_repr
* # )[5],
* # "CodeForces-Pass@1": _get_pass_at_1(
* # model.model_repr
* # )[6],
* # "Naive Test Cases Correctness": _get_naive_test_cases_correctness(
* # model, questions_filtered
* # ),
* }
* for model in results_df.model_class.unique()
* }
* )
* ```
*/
function getLeaderboard(
performances: Array<any>,
models: Array<any>,
start: number,
end: number
) {
return models
.filter((model) => model.release_date)
.map((model) => {
const { average_pass, easy_pass, medium_pass, hard_pass, exec_pass, cot_pass } = get_pass_at_1(
performances,
model.model_repr,
start,
end
)
if (performances[0].hasOwnProperty("Pass@1-COT")) {
let output = {
Model: model.model_repr,
"Release Date":
"Release Date: " + new Date(model.release_date).toLocaleDateString(),
Contaminated: model.release_date >= start,
"Pass@1": cot_pass.toString() === "NaN" ? -1 : cot_pass,
"Pass@1 (no COT)": exec_pass.toString() === "NaN" ? -1 : exec_pass,
}
return output
}
else {
let output = {
Model: model.model_repr,
"Release Date":
"Release Date: " + new Date(model.release_date).toLocaleDateString(),
Contaminated: model.release_date >= start,
"Pass@1": average_pass.toString() === "NaN" ? -1 : average_pass,
"Easy-Pass@1": easy_pass.toString() === "NaN" ? -1 : easy_pass,
"Medium-Pass@1": medium_pass.toString() === "NaN" ? -1 : medium_pass,
"Hard-Pass@1": hard_pass.toString() === "NaN" ? -1 : hard_pass,
}
return output
}
})
.sort((a, b) => b["Pass@1"] - a["Pass@1"])
.reduce(
(
acc: {
results: Array<typeof model & { Rank: number | null }>
rank: number
},
model
) => {
let rank = null
if (!model.Contaminated) {
rank = acc.rank
acc.rank += 1
}
acc.results.push({
Rank: rank,
...model,
})
return acc
},
{ results: [], rank: 1 }
).results
}
function getDateMarksFromModels(models: Array<any>) {
const modelDates = models
.filter((model) => model.release_date)
.map((model) => model.release_date)
const uniqueDates = [
// @ts-ignore
...new Set(modelDates),
new Date("2024-01-01").getTime(),
]
return uniqueDates
.map((date) => ({
value: date,
label: new Date(date).toLocaleDateString(undefined, {
timeZone: "UTC",
}),
}))
.sort((a, b) => a.value - b.value)
}
function getDateMarksFromTimestamps(timestamps: Array<number>) {
return timestamps.map((timestamp) => ({
value: timestamp,
label: new Date(timestamp).toLocaleDateString(undefined, {
timeZone: "UTC",
}),
}))
}
function getColumnDefs(columnNames: Array<string>, modelsDict: any) {
// Format the columns into array of { field: "column_name" }
return columnNames
.map((column_name) => {
switch (column_name) {
case "Rank":
return {
field: column_name,
suppressMovable: true,
cellClass: 'suppress-movable-col',
}
case "Model":
return {
field: column_name,
suppressMovable: true,
cellClass: 'suppress-movable-col',
flex: 2,
tooltipField: "Release Date",
cellRenderer: (params: any) => {
return modelsDict[params.value].link ? (
<a
href={modelsDict[params.value].link}
target="_blank"
className={styles.leaderboardModelLink}
>
{params.value}
</a>
) : (
params.value
)
},
}
case "Release Date":
return null
case "Contaminated":
return null
return {
field: column_name,
headerTooltip: `
Model is considered contaminated if it is released after the start date of
the selected problems set.
`,
}
case "Pass@1":
return {
field: column_name,
headerTooltip: `
Pass@1 is probability of passing a given problem in one attempt.
`,
sort: "desc",
}
case "Pass@1-COT":
return {
field: column_name,
headerTooltip: `
Pass@1 is probability of passing a given problem in one attempt with CoT.
`,
sort: "desc",
}
case "Pass@1 (no COT)":
return {
field: column_name,
headerTooltip: `
Pass@1 is probability of passing a given problem in one attempt without CoT.
`,
sort: "desc",
}
case "Easy-Pass@1":
return {
field: column_name,
headerTooltip: "Pass@1 on problems with Easy difficulty",
}
case "Medium-Pass@1":
return {
field: column_name,
headerTooltip: "Pass@1 on problems with Medium difficulty",
}
case "Hard-Pass@1":
return {
field: column_name,
headerTooltip: "Pass@1 on problems with Hard difficulty",
}
default:
return {
field: column_name,
}
}
})
.filter((columnDef) => columnDef !== null)
}
export { getDateMarksFromTimestamps, getLeaderboard, getColumnDefs }