按官方证据识别早期 ICML 与 IROS 主系列 #37
@@ -60,6 +60,8 @@ paper-atlas collect colm --cache /data/paper-index/raw/http-cache \
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--out /data/paper-index/collected
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```
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早期主系列的Workshop名称按[ICML/IROS精确届次证据](docs/coverage/historical-primary-series-2026-11-09.md)识别,保留原名与范围证据;代码支持不代表已补齐生产数据。
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`paper-atlas collect --help` 查看来源;`paper-atlas import --help` 查看导入方式。完整批次步骤见[使用指南](docs/usage.md)。
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共享实例名为 `foundry-postgres`,数据位于 `foundry_data` 库的 `research` schema;其他项目可按权限复用同一组表。库名通过 libpq service 配置、schema 通过 search_path 或 `--pg-schema` 指定,不写死在查询中。PostgreSQL 凭据放在服务器权限为 `0600` 的 libpq service 文件中;命令行只使用服务名称。`paper-atlas maintain postgres --help` 提供迁移入口:先完整核验 21 张业务表,再发布目标 schema。SQLite FTS5 内部表由 PostgreSQL GIN 索引替代。切换后 SQLite 为只读备份;`import records`、`import arxiv` 和 `maintain backfill` 使用 `--pg-service foundry-research` 写入主库,整个写入会话只允许一个协调写入者,会议文件失败时整体回滚并保留失败批次记录。
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@@ -0,0 +1,33 @@
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# ICML 与 IROS 早期主系列的来源范围
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本轮修正采集阶段的届次识别,不修改任何现有生产投稿轨道或历史。正式主系列曾以Workshop命名,不等于附属workshop;也不能反过来把所有旧workshop升为主会。
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## 已核实的精确范围
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| 会议 | 论文集键 | 依据与行为 |
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| --- | --- | --- |
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| ICML | `conf/icml/1988`、`1989`、`1990`、`1991`、`1992` | [官方历史](https://icml.cc/Conferences/2008/past_icmls.shtml.html)将其列为第5–9届,年份与举办地对应固定目录中的完整标题。1989/1991/1992的Workshop名称不再导致主系列被默认排除;1988/1990保留main并增加来源范围证据 |
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| IROS | `conf/iros/1988`、`1989`、`1990` | [IEEE RAS官方历届目录](https://www.ieee-ras.org/conferences-workshops/financially-co-sponsored/iros/iros-past-and-future-venues/)列出三届与论文集链接,地点及日期对应固定目录标题;这些是IROS主系列 |
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规则同时要求family、booktitle基础别名(ML或IROS)、空轨道后缀、完整精确论文集键、匹配的事件年份及固定完整标题。仍执行原有书目年份核查:与事件年不同且标题无明确事件年时拒绝推断。ML91原始标题没有四位年份,使用精确1991卷键、完整标题、逐篇书目年和官方第8届记录,不从两位标题代码猜世纪。
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`1991w`/`1988w`等卷键、booktitle中的Workshops后缀、不同届次/地点/完整标题、未列入的年份均不会获得上述主系列豁免。AISTATS/COLT既有精确规则保留;真正的附属workshop仍受默认不采集workshop的边界约束。
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## 原始字段、决定与后续导入
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采集器仍保存原始proceedings标题(包括Workshop)、书目年、原始作者名、完整来源书目字段及稳定标识;新增 `track_scope_note` 与官方 `track_scope_evidence_url`。接受状态仍只源自该论文的inproceedings书目证据;不从历史目录生成占位论文或拒稿,也不重新导入已经存在的记录。
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新规则的输出必须重新做原始来源/标题/作者/稳定标识与现有库冲突预检,再按增量导入。此前被隔离的ICML1988/1990记录不能仅凭代码规则而直接解除全部冲突。当前正在运行的历史批次使用原固定版本和文件,不能在运行中替换其源码或输入。
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## 验证与证据
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新增回归覆盖:ICML三届Workshop名称、IROS最初三届、ICML原Conference名称的两届、错误卷键/后缀/标题/未知年份,以及归一化记录经过原生文件导入后保留轨道证据。构建与测试仅在已授权的ces-control远程runner执行,本机仅做语法和文本/JSON一致性检查;结果以相应commit的CI回执为准。
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官方HTML在工作证据目录 `paper-index/historical-primary-series-evidence-v1/`,附响应状态、字节数、时间与SHA256;仅取元数据网页,没有下载论文全文。
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| 来源 | UTC采样时间 | HTTP | 字节数 | SHA256 |
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| --- | --- | ---: | ---: | --- |
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| [icml-history](https://icml.cc/Conferences/2008/past_icmls.shtml.html) | 2026-11-08T18:36:43.043135+00:00 | 200 | 11993 | `80cce886fe985551339a52b13c4077acf827e8fcc01555f854dc24077bdebdf0` |
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| [iros-history](https://www.ieee-ras.org/conferences-workshops/financially-co-sponsored/iros/iros-past-and-future-venues/) | 2026-11-08T18:36:45.687171+00:00 | 200 | 466059 | `fdb4594621e68567e1099f5c88aae53de835b7b8146025148c3b1968df990697` |
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本次不关闭历史年度缺口,也不替代全部导入后的全库去重、来源/年度/track覆盖、摘要和实际查询验收。
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@@ -54,7 +54,34 @@ HISTORICAL_WORKSHOP_TITLES = {
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}
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# Exact pinned volume titles corroborated by official series histories. The
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# original title (including Workshop) remains in source metadata. In particular
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# ML91 has no four-digit year in its title; its exact key/title and bibliographic
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# year are checked independently, rather than guessing a title year.
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HISTORICAL_PRIMARY_EVIDENCE = {
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'icml': ('ML', 'https://icml.cc/Conferences/2008/past_icmls.shtml.html'),
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'iros': ('IROS', 'https://www.ieee-ras.org/conferences-workshops/financially-co-sponsored/iros/iros-past-and-future-venues/'),
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}
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HISTORICAL_PRIMARY_TITLES = {
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('icml', 1988): 'Machine Learning, Proceedings of the Fifth International Conference on Machine Learning, Ann Arbor, Michigan, USA, June 12-14, 1988',
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('icml', 1989): 'Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), Cornell University, Ithaca, New York, USA, June 26-27, 1989',
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('icml', 1990): 'Machine Learning, Proceedings of the Seventh International Conference on Machine Learning, Austin, Texas, USA, June 21-23, 1990',
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('icml', 1991): 'Proceedings of the Eighth International Workshop (ML91), Northwestern University, Evanston, Illinois, USA',
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('icml', 1992): 'Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), Aberdeen, Scotland, UK, July 1-3, 1992',
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('iros', 1988): "IEEE International Workshop on Intelligent Robots and Systems '88, Proceedings. IROS 1988, Tokyo, Japan, October 31 - November 2, 1988",
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('iros', 1989): "IEEE International Workshop on Intelligent Robots and Systems '89, Proceedings. IROS 1989, September 4-6, 1989, Tsukuba, Japan",
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('iros', 1990): "IEEE International Workshop on Intelligent Robots and Systems '90, Towards a New Frontier of Applications, Proceedings. IROS 1990, July 3-6, 1990, Ibaraki, Japan",
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}
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def historical_track(family, base, suffix, volume_key, year, title):
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primary = HISTORICAL_PRIMARY_EVIDENCE.get(family)
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if (primary and not suffix and base.casefold() == primary[0].casefold()
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and volume_key == f'conf/{family}/{year}'
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and title == HISTORICAL_PRIMARY_TITLES.get((family, year))):
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return ('main',
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'Historical primary series; exact proceedings key, complete title and bibliographic/event year corroborated by official series history. Workshop in this original title is not an affiliated track.',
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primary[1])
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if suffix or base.casefold() != family or volume_key != f'conf/{family}/{year}':
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return None
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prefix = HISTORICAL_WORKSHOP_TITLES.get((family, year))
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@@ -0,0 +1,115 @@
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"""Regression coverage for primary series once named Workshop, with strict scope boundaries."""
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from contextlib import closing
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import hashlib
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import json
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from pathlib import Path
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import sqlite3
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import tempfile
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import unittest
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from paper_atlas.collectors.dblp_records import normalize_row
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from paper_atlas.collectors.dblp_scope import scope
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from paper_atlas.ingestion.records import ingest_file
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ICML_HISTORY = 'https://icml.cc/Conferences/2008/past_icmls.shtml.html'
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IROS_HISTORY = 'https://www.ieee-ras.org/conferences-workshops/financially-co-sponsored/iros/iros-past-and-future-venues/'
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class HistoricalPrimarySeriesTests(unittest.TestCase):
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def example(self, family, year, title, book=None, key=None):
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key = key or f'conf/{family}/{year}'
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book = book or ('ML' if family == 'icml' else 'IROS')
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row = {'record_type':'inproceedings', 'key':f'conf/{family}/Paper{year}', 'publtype':None,
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'fields':{'title':['An independently identified historical research paper'],
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'author':['Jane Doe'], 'booktitle':[book], 'year':[str(year)],
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'crossref':[key], 'ee':[f'https://doi.org/10.1234/{family}.{year}']}}
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volume = {'record_type':'proceedings', 'key':key,
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'fields':{'title':[title], 'year':[str(year)]}}
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return row, volume
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def test_icml_workshop_primary_editions_are_not_silently_filtered(self):
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examples = {
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1989:'Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), Cornell University, Ithaca, New York, USA, June 26-27, 1989',
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1991:'Proceedings of the Eighth International Workshop (ML91), Northwestern University, Evanston, Illinois, USA',
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1992:'Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), Aberdeen, Scotland, UK, July 1-3, 1992',
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}
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for year, title in examples.items():
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with self.subTest(year=year):
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row, volume = self.example('icml', year, title)
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record, reason = normalize_row(row, {volume['key']:volume}, {'ICML'})
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self.assertIsNone(reason)
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self.assertEqual((record['venue'],record['year'],record['track'],record['status']), ('ICML',year,'main','accepted'))
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self.assertEqual(record['metadata']['proceedings_title'], title)
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self.assertEqual(record['metadata']['track_scope_evidence_url'], ICML_HISTORY)
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self.assertEqual(record['metadata']['bibliographic_year'], year)
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def test_iros_first_three_editions_are_primary_series(self):
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examples = {
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1988:"IEEE International Workshop on Intelligent Robots and Systems '88, Proceedings. IROS 1988, Tokyo, Japan, October 31 - November 2, 1988",
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1989:"IEEE International Workshop on Intelligent Robots and Systems '89, Proceedings. IROS 1989, September 4-6, 1989, Tsukuba, Japan",
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1990:"IEEE International Workshop on Intelligent Robots and Systems '90, Towards a New Frontier of Applications, Proceedings. IROS 1990, July 3-6, 1990, Ibaraki, Japan",
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}
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for year, title in examples.items():
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with self.subTest(year=year):
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row, volume = self.example('iros', year, title)
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record, reason = normalize_row(row, {volume['key']:volume}, {'IROS'})
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self.assertIsNone(reason)
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self.assertEqual((record['venue'],record['year'],record['track']), ('IROS',year,'main'))
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self.assertEqual(record['metadata']['proceedings_title'], title)
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self.assertEqual(record['metadata']['track_scope_evidence_url'], IROS_HISTORY)
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def test_main_named_icml_predecessors_also_carry_primary_scope_provenance(self):
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examples = {
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1988:'Machine Learning, Proceedings of the Fifth International Conference on Machine Learning, Ann Arbor, Michigan, USA, June 12-14, 1988',
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1990:'Machine Learning, Proceedings of the Seventh International Conference on Machine Learning, Austin, Texas, USA, June 21-23, 1990',
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}
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for year, title in examples.items():
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row, volume = self.example('icml', year, title)
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edition, reason = scope(row, volume)
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self.assertIsNone(reason)
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self.assertEqual(edition['track'], 'main')
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self.assertEqual(edition['track_scope_evidence_url'], ICML_HISTORY)
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def test_wrong_keys_titles_suffixes_and_unknown_years_keep_workshop_boundary(self):
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title = 'Proceedings of the Eighth International Workshop (ML91), Northwestern University, Evanston, Illinois, USA'
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for year, changed, book, key in [
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(1991,title,'ML','conf/icml/1991w'),
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(1991,title,'ML (Workshops)','conf/icml/1991'),
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(1991,title.replace('Eighth','Ninth'),'ML','conf/icml/1991'),
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(1991,title + ', Affiliated Workshop','ML','conf/icml/1991'),
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(1987,'Machine Learning Workshop 1987, Irvine','ML','conf/icml/1987'),
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]:
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with self.subTest(year=year, book=book, key=key, title=changed):
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row, volume = self.example('icml',year,changed,book,key)
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record, reason = normalize_row(row,{volume['key']:volume},{'ICML'})
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self.assertIsNone(record)
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self.assertEqual(reason,'separate_workshop')
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self.assertNotIn('track_scope_evidence_url',scope(row,volume)[0])
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title = "IEEE International Workshop on Intelligent Robots and Systems '88, Proceedings. IROS 1988, Tokyo, Japan, October 31 - November 2, 1988"
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for changed, book, key in [
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(title,'IROS','conf/iros/1988w'),
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(title,'IROS (Workshops)','conf/iros/1988'),
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(title.replace('Tokyo','Another city'),'IROS','conf/iros/1988'),
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]:
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row, volume = self.example('iros',1988,changed,book,key)
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self.assertEqual(normalize_row(row,{volume['key']:volume},{'IROS'})[1],'separate_workshop')
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def test_primary_scope_proof_survives_native_file_ingestion(self):
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title = 'Proceedings of the Eighth International Workshop (ML91), Northwestern University, Evanston, Illinois, USA'
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row, volume = self.example('icml',1991,title)
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record, reason = normalize_row(row,{volume['key']:volume},{'ICML'})
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self.assertIsNone(reason)
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with tempfile.TemporaryDirectory() as temporary:
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root=Path(temporary);path=root/'records.jsonl';path.write_text(json.dumps(record)+'\n')
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path.with_suffix('.manifest.json').write_text(json.dumps({'source':'dblp','count':1,'list_url':ICML_HISTORY,'file_sha256':hashlib.sha256(path.read_bytes()).hexdigest()}))
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ingest_file(root/'test.sqlite',path)
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with closing(sqlite3.connect(root/'test.sqlite')) as connection:
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self.assertEqual(connection.execute('SELECT track FROM editions').fetchone()[0],'main')
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self.assertEqual(connection.execute('SELECT status FROM decisions').fetchone()[0],'accepted')
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metadata=json.loads(connection.execute('SELECT metadata_json FROM source_records').fetchone()[0])
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self.assertEqual(metadata['proceedings_title'],title)
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self.assertEqual(metadata['track_scope_evidence_url'],ICML_HISTORY)
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if __name__ == '__main__':
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unittest.main()
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