Files
llm-atlas/scripts/build-deepseek-chat-cross-source-sampling-compact.mjs
2026-07-30 03:57:17 +08:00

348 lines
11 KiB
JavaScript

import { createHash } from "node:crypto";
import { readFileSync, statSync, writeFileSync } from "node:fs";
import { resolve } from "node:path";
const root = resolve(import.meta.dirname, "..");
const paths = {
sampling: resolve(
root,
"src/data/deepseek-v2-lite-chat-cross-source-sampling.json",
),
evaluation: resolve(
root,
"src/data/deepseek-v2-lite-chat-cross-source-sampling-eval.json",
),
rerun: resolve(
root,
"src/data/deepseek-v2-lite-chat-cross-source-sampling-repro-r0.json",
),
reproduction: resolve(
root,
"src/data/deepseek-v2-lite-chat-cross-source-sampling-reproduction.json",
),
analysis: resolve(
root,
"src/data/deepseek-v2-lite-chat-cross-source-sampling-analysis.json",
),
output: resolve(
root,
"src/data/deepseek-v2-lite-chat-cross-source-sampling-compact.json",
),
};
const readJson = (path) => JSON.parse(readFileSync(path, "utf8"));
const sha256 = (path) => createHash("sha256")
.update(readFileSync(path))
.digest("hex");
const artifact = (path) => ({
bytes: statSync(path).size,
sha256: sha256(path),
});
const sampling = readJson(paths.sampling);
const evaluation = readJson(paths.evaluation);
const reproduction = readJson(paths.reproduction);
const analysis = readJson(paths.analysis);
const samplingArtifact = artifact(paths.sampling);
const evaluationArtifact = artifact(paths.evaluation);
const rerunArtifact = artifact(paths.rerun);
const reproductionArtifact = artifact(paths.reproduction);
if (evaluation.input.sampling_sha256 !== samplingArtifact.sha256) {
throw new Error("evaluation → sampling hash contract failed");
}
if (reproduction.formal.sha256 !== samplingArtifact.sha256) {
throw new Error("reproduction → formal hash contract failed");
}
if (reproduction.rerun.sha256 !== rerunArtifact.sha256) {
throw new Error("reproduction → rerun hash contract failed");
}
if (
reproduction.summary.cells !== 64
|| reproduction.summary.all_preregistered_fields_exact !== 64
|| Object.values(reproduction.summary.by_field).some(
(value) => value !== 64,
)
) {
throw new Error("64-cell reproduction gate failed");
}
if (
analysis.inputs.sampling.sha256 !== samplingArtifact.sha256
|| analysis.inputs.evaluation.sha256 !== evaluationArtifact.sha256
|| analysis.inputs.reproduction.sha256 !== reproductionArtifact.sha256
) {
throw new Error("analysis input hash chain failed");
}
if (
analysis.contract.sources !== 16
|| analysis.contract.sources_per_domain !== 4
|| analysis.contract.seeds_per_source_condition !== 4
|| analysis.contract.outputs !== 256
) {
throw new Error("source-blocked analysis grid contract failed");
}
const conditions = analysis.contract.conditions;
const conditionLabels = {
s0_eos: "S0 · EOS",
s1_eos: "S1 · EOS",
s0_period: "S0 · 句点",
s1_period: "S1 · 句点",
};
const domainLabels = {
english: "English · WikiText-2",
chinese: "中文 · TNEWS",
code: "Code · HumanEval",
math: "Math · GSM8K",
};
const sourceLabel = (sourceId) => {
if (sourceId.startsWith("HumanEval/")) {
return sourceId;
}
if (sourceId.startsWith("gsm8k/")) {
return `GSM8K/${sourceId.split("/").at(-1)}`;
}
if (sourceId.startsWith("tnews/")) {
return `TNEWS/${sourceId.split("/").at(-1)}`;
}
if (sourceId.startsWith("wikitext2/")) {
return `WikiText/${sourceId.split("/").at(-1)}`;
}
return sourceId;
};
const sourceMeta = Object.fromEntries(
Object.entries(analysis.source_metadata).map(([sourceId, row]) => [
sourceId,
{
...row,
label: sourceLabel(sourceId),
},
]),
);
const evalRows = evaluation.rows.map((row) => {
let task = null;
if (row.domain === "math") {
task = {
predicted: row.task_evaluation.predicted_final,
gold: row.task_evaluation.gold_final,
covered: row.task_evaluation.evaluator_covered,
fixedPass: row.task_evaluation.fixed_budget_numeric_exact,
strictPass: row.task_evaluation.strict_complete_numeric_exact,
method: row.task_evaluation.extraction_method,
};
} else if (row.domain === "code") {
task = {
ast: row.task_evaluation.python_ast_parse,
executed: row.task_evaluation.execution.status !== "not_run",
status: row.task_evaluation.execution.status,
fixedPass: row.task_evaluation.fixed_budget_tests_pass,
strictPass: row.task_evaluation.strict_complete_tests_pass,
candidateHash: row.task_evaluation.candidate_sha256,
cacheHit: row.task_evaluation.execution_cache_hit,
};
}
return {
sourceId: row.source_id,
domain: row.domain,
condition: row.condition,
replicate: row.replicate_label,
baseSeed: row.base_seed,
generatedTokens: row.generated_tokens,
hitEos: row.hit_eos,
truncated: row.stopped_at_max_new_tokens,
trajectoryHash: row.generated_token_ids_sha256,
completionClass: row.completion_class,
task,
};
});
const taskFailures = evalRows
.filter((row) => row.task && !row.task.strictPass)
.map((row) => ({
sourceId: row.sourceId,
sourceLabel: sourceLabel(row.sourceId),
domain: row.domain,
condition: row.condition,
replicate: row.replicate,
generatedTokens: row.generatedTokens,
hitEos: row.hitEos,
completionClass: row.completionClass,
detail: row.domain === "math"
? {
predicted: row.task.predicted,
gold: row.task.gold,
failure: "wrong_numeric_answer",
}
: {
status: row.task.status,
candidateHash: row.task.candidateHash,
failure: row.task.status,
},
}));
const taskTotals = Object.fromEntries(
Object.entries(analysis.task_matrix).map(([domain, tasks]) => [
domain,
tasks.map((task) => ({
sourceId: task.source_id,
label: sourceLabel(task.source_id),
withinDomainIndex: task.within_domain_index,
conditions: Object.fromEntries(
Object.entries(task.conditions).map(([condition, cell]) => [
condition,
{
pass: cell.strict_complete_success,
outputs: 4,
anyPass: cell.observed_any_strict_complete_pass,
naturalEos: cell.natural_eos,
meanGeneratedTokens: cell.generated_tokens.mean,
minGeneratedTokens: cell.generated_tokens.min,
maxGeneratedTokens: cell.generated_tokens.max,
},
]),
),
totalPass: Object.values(task.conditions).reduce(
(total, cell) => total + cell.strict_complete_success,
0,
),
totalOutputs: 16,
})),
]),
);
const periodDirection = Object.fromEntries(
Object.entries(analysis.prior_direction_check).map(([domain, row]) => {
const values = Object.values(
row.period_shortens_mean_tokens.by_source,
);
return [domain, {
shorter: values.filter(Boolean).length,
sources: values.length,
bySource: row.period_shortens_mean_tokens.by_source,
}];
}),
);
const systemEosDirection = Object.fromEntries(
Object.entries(analysis.prior_direction_check).map(([domain, row]) => {
const values = Object.values(
row.system_on_raises_natural_eos_rate.by_source,
);
return [domain, {
raises: values.filter(Boolean).length,
sources: values.length,
bySource: row.system_on_raises_natural_eos_rate.by_source,
}];
}),
);
const result = {
schemaVersion: 1,
capturedAt: sampling.captured_at,
contract: {
protocolId: sampling.protocol_id,
model: sampling.model.repo,
revision: sampling.model.revision,
conditions,
conditionLabels,
domains: Object.keys(analysis.contract.sources_by_domain),
domainLabels,
sources: analysis.contract.sources,
sourcesPerDomain: analysis.contract.sources_per_domain,
seedsPerCell: analysis.contract.seeds_per_source_condition,
outputs: analysis.contract.outputs,
baseSeeds: sampling.seed_contract.executed_base_seeds,
decode: {
doSample: sampling.generation_contract.do_sample,
temperature: sampling.generation_contract.temperature,
topP: sampling.generation_contract.top_p,
topK: sampling.generation_contract.top_k,
maxNewTokens: sampling.generation_contract.max_new_tokens,
},
sourceIsPrimaryCoverageUnit: (
analysis.contract.source_is_primary_coverage_unit
),
seedIsWithinSourceRepeat: (
analysis.contract.seed_is_within_source_repeat
),
noPopulationConfidenceIntervals: (
analysis.contract.no_population_confidence_intervals
),
noPValues: analysis.contract.no_p_values,
batchSeedAlignedNotCommonRandomNumbers: (
sampling.seed_contract.batch_seed_aligned_not_common_random_numbers
),
},
headline: {
...analysis.overall,
promptHashExact: sampling.source_contract.prompt_hash_audit.exact,
promptHashCells: sampling.source_contract.prompt_hash_audit.cells,
firstTwoSeedComparableCells: (
sampling.summary.first_two_seeds.comparable_cells
),
firstTwoSeedDifferentTrajectories: (
sampling.summary.first_two_seeds.different_trajectories
),
reproducedCells: (
reproduction.summary.all_preregistered_fields_exact
),
reproductionCells: reproduction.summary.cells,
codeAstParse: evaluation.summary.code.ast_parse,
codeExecuted: evaluation.summary.code.executed,
codeStatuses: evaluation.summary.code.execution_statuses,
codeUniqueExecutionKeys: (
evaluation.sandbox.unique_code_cache_entries
),
},
sourceMeta,
sourcesByDomain: analysis.contract.sources_by_domain,
sourceCells: analysis.source_condition_cells,
domainConditions: analysis.domain_condition_summary,
sourceContrasts: analysis.source_contrasts,
domainContrasts: analysis.domain_contrasts,
periodDirection,
systemEosDirection,
taskTotals,
taskFailures,
evalRows,
reproduction: reproduction.summary,
artifacts: {
sampling: samplingArtifact,
evaluation: evaluationArtifact,
rerun: rerunArtifact,
reproduction: reproductionArtifact,
analysis: artifact(paths.analysis),
},
execution: {
generationSeconds: sampling.sources.reduce(
(total, source) => total + source.runs.reduce(
(subtotal, run) => subtotal + run.generation_seconds,
0,
),
0,
),
peakCudaMemoryAllocatedBytes: (
sampling.execution.peak_cuda_memory_allocated_bytes
),
torch: sampling.execution.torch,
transformers: sampling.execution.transformers,
deviceMap: sampling.execution.device_map,
sandbox: evaluation.sandbox,
},
claimBoundary: [
...sampling.claim_boundary,
...evaluation.claim_boundary,
...analysis.claim_boundary,
...reproduction.claim_boundary,
],
};
writeFileSync(paths.output, `${JSON.stringify(result, null, 2)}\n`);
console.log(JSON.stringify({
output: paths.output,
...artifact(paths.output),
headline: result.headline,
periodDirection: result.periodDirection,
}, null, 2));