ARCHIVED TRAINING / Python-Markdown/markdown
python-markdown__markdown-1587
This is a preserved training example. Membership in the current training wave has not been verified.
Problem statement
Markdown.markdown stuck in infinite loop <!-- leading to memory leaks Hi, new here :) the package isn't handling content with `<!--` essentially i think the < is causing the issue and leading to major memory leak input_string = '''#Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lore \n\nLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lore.\n\nALorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an .\n\nLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an .\n\n## **HTML Conditional Statements: A Dual-Edged Sword**\n\nUpon closer examination of the email's HTML code, it became evident that the threat actors leveraged HTML conditional comments, specifically `<!--[if mso]>` and `<!--[if !mso]>`''' trying `markdown.markdown(input_string)` The processing is stuck and goes into an infinite loop My understanding of the repo or markdown, in general, might be wrong :)
Training membership
opd_e4b_pure_v6b
Task issues extracted from preserved verified_rft_messages training examples. This is not a verified current RL wave manifest.
Task and snapshot provenance
Snapshot captured 2026-11-12T17:06:59.476467+00:00 · Autoresearch-Arena/gemma-4-developer-agent
{
"datasets": [
"opd_e4b_pure_v6b"
],
"examples": 3,
"instance_id": "python-markdown__markdown-1587",
"problem_statement": "Markdown.markdown stuck in infinite loop <!-- leading to memory leaks\nHi, new here :) \n\n\nthe package isn't handling content with `<!--` essentially i think the < is causing the issue and leading to major memory leak \n\ninput_string = '''#Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lore \\n\\nLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lore.\\n\\nALorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an .\\n\\nLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an .\\n\\n## **HTML Conditional Statements: A Dual-Edged Sword**\\n\\nUpon closer examination of the email's HTML code, it became evident that the threat actors leveraged HTML conditional comments, specifically `<!--[if mso]>` and `<!--[if !mso]>`'''\n\n\ntrying `markdown.markdown(input_string)`\n\nThe processing is stuck and goes into an infinite loop\n\nMy understanding of the repo or markdown, in general, might be wrong :)",
"repo": "Python-Markdown/markdown",
"source": "v2/experiments/train_data/opd_e4b_pure_v6b/verified_rft_messages.jsonl",
"source_sha256": "0f62460a9706eea5e1605255896f191ab00cb5706c5f1f2e1c293e9a718218dc"
}{
"captured_at": "2026-11-12T17:06:59.476467+00:00",
"membership": "archived training",
"membership_evidence": "Task issues extracted from preserved verified_rft_messages training examples. This is not a verified current RL wave manifest.",
"name": "Preserved post-training task archive",
"source": "Autoresearch-Arena/gemma-4-developer-agent",
"source_revision": "016496de222aaafca0d4ee4c18efc63ba616f76e",
"sources": [
{
"path": "v2/experiments/train_data/opd_e4b_cispo_v5/verified_rft_messages.jsonl",
"sha256": "a43610ad0dfb6ace95375cfae09000f41afc0338cc925af870a4ade7a9b20c4c"
},
{
"path": "v2/experiments/train_data/opd_e4b_hybrid_v3/verified_rft_messages.jsonl",
"sha256": "bd326303eb127e8e5e08f03daf97bb88d79d19709d59f3f93f348bc56686a8df"
},
{
"path": "v2/experiments/train_data/opd_e4b_onpolicy_v3/verified_rft_messages.jsonl",
"sha256": "960c680e797e823a0d3a22f4b1d5ef60a72971373d703b877340b0c9126aaf68"
},
{
"path": "v2/experiments/train_data/opd_e4b_pure_v6a/verified_rft_messages.jsonl",
"sha256": "f045b7ca5b3883a1e2eaee81e1c02a4a1b53dd7b7b36e98bacb2ba5823a15148"
},
{
"path": "v2/experiments/train_data/opd_e4b_pure_v6b/verified_rft_messages.jsonl",
"sha256": "0f62460a9706eea5e1605255896f191ab00cb5706c5f1f2e1c293e9a718218dc"
},
{
"path": "v2/experiments/train_data/opd_e4b_pure_v7/verified_rft_messages.jsonl",
"sha256": "e37f7bd675322f3f81500b73559d60d5f602ca0537bf19f5cb06332c728c7b72"
},
{
"path": "v2/experiments/train_data/opd_e4b_pure_v7b/verified_rft_messages.jsonl",
"sha256": "b864bdc8695183433eef6e31cb8d33fad44ba3aded2170c1ade4ad5b2944ce23"
},
{
"path": "v2/experiments/train_data/opd_e4b_self_audit_v4/verified_rft_messages.jsonl",
"sha256": "0026023745afb8f3dc1c176dc7f7171157b4ad5a66656b524af218e8e19ceee6"
},
{
"path": "v2/experiments/train_data/rft_e4b_aligned_v2/verified_rft_messages.jsonl",
"sha256": "92a4515fee9d152b0d4c510ee3ce4caaaffe2003ba7584469f8027f174aab18c"
},
{
"path": "v2/experiments/train_data/rft_v1/verified_rft_messages.jsonl",
"sha256": "a42453ccd7ac7680b0a03865e8e7080bc8bf74c8d9d193b440c441ed46f8512b"
},
{
"path": "v2/experiments/train_data/rft_v2/verified_rft_messages.jsonl",
"sha256": "18f4b3bd7e651f83c6acab479c9475e3fa50dc652a384f309e97146983ac85ba"
}
]
}