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open\\('/data/home/coptot/src/community/webapp/modules/apparatus/edit/tests/test-data-exod1.1.json', 'w', encoding='utf-8'\\) as f:\n json.dump\\(input_data, f, indent=2, ensure_ascii=False\\)\n f.write\\('\\\\n'\\)\nprint\\('Done'\\)\n\")", "Bash(python3.8 tests/test_engines.py claude claude-opus-4-20250514 --data=test-data-exod1.1.json 2>&1)", "Bash(python3.8 tests/test_engines.py claude claude-sonnet-4-20250514 --data=test-data-exod1.1.json 2>&1)", "Bash(python3.8 tests/test_engines.py claude claude-haiku-4-5-20251001 --data=test-data-exod1.1.json 2>&1)", "Bash(bash tests/run-all-tests.sh --data=test-data-exod1.1.json)", "WebSearch", "Bash(python3.8 tests/test_engines.py claude claude-opus-4-6 --data=test-data-exod1.1.json 2>&1)", "Bash(python3.8 tests/test_engines.py claude claude-sonnet-4-6 --data=test-data-exod1.1.json 2>&1)", "Bash(python3.8 tests/test_engines.py openai gpt-5.4-mini --data=test-data-exod1.1.json 2>&1)", "Bash(python3.8 tests/test_engines.py openai gpt-5.4-nano 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ClaudeEngine\nfrom collation.engines.openai_engine import OpenAIEngine\nfrom collation.engines.gemini_engine import GeminiEngine\nfrom collation.engines.xai_engine import XAIEngine\nprint\\('Claude models:', ClaudeEngine._model_names if hasattr\\(ClaudeEngine, '_model_names'\\) else 'uses registry directly'\\)\nprint\\('OpenAI max_tokens:', OpenAIEngine._max_tokens\\)\nprint\\('Gemini models:', GeminiEngine._model_names\\)\nprint\\('XAI models:', XAIEngine._model_names\\)\nprint\\('All engines loaded successfully'\\)\n\" 2>/dev/null)", "Bash(python3.8 -c \"import json,sys; d=json.load\\(sys.stdin\\); print\\(''''Engines:'''', list\\(d[''''engines''''].keys\\(\\)\\)\\); [print\\('''' {}: {} models''''.format\\(e, len\\(d[''''engines''''][e][''''models'''']\\)\\)\\) for e in d[''''engines'''']]\")", "Bash(python3.8 -c \"import json,sys; d=json.load\\(sys.stdin\\); [print\\(''''{}: {} \\({} models\\)''''.format\\(e, d[''''engines''''][e][''''display_name''''], len\\(d[''''engines''''][e][''''models'''']\\)\\)\\) for e in d[''''engines'''']]\")", "Bash(python3:*)", "Bash(pip3 list:*)", "Bash(python3.8 -m pip list)", "Bash(python3.8 -c \"import google.generativeai\")", "Bash(python3.8 -c \"import anthropic; print\\(''anthropic ok''\\)\")", "Bash(python3.8 -c \"from openai import OpenAI; print\\(''openai ok''\\)\")", "Bash(ls:*)", "Bash(python3.8 tests/test_engines.py claude claude-opus-4-6 --data=test-data-ps2.1.json 2>&1)", "Bash(python3.8 tests/test_engines.py openai gpt-5.4 --data=test-data-ps2.1.json 2>&1)", "Bash(python3.8 tests/test_engines.py gemini gemini-3.1-pro-preview --data=test-data-ps2.1.json 2>&1)", "Bash(python3.8 tests/test_engines.py xai grok-4.20-beta-0309-reasoning --data=test-data-ps2.1.json 2>&1)", "Bash(python3.8 -c \"\nimport json\nwith open\\('tests/log/openai/post_collation.json'\\) as f:\n d = json.load\\(f\\)\nresult = json.loads\\(d['result_json']\\)\nprint\\('Keys:', list\\(result.keys\\(\\)\\)\\)\nif 'regularization_suggestions' in result:\n print\\(json.dumps\\(result['regularization_suggestions'], indent=2, ensure_ascii=False\\)\\)\nelse:\n print\\('No regularization_suggestions key found'\\)\n\" 2>&1)", "Bash(python3.8 -c \"\nimport json\nwith open\\('tests/log/openai/post_collation.json'\\) as f:\n d = json.load\\(f\\)\nprint\\('Top keys:', list\\(d.keys\\(\\)\\)[:10]\\)\n\" 2>&1)", "Bash(python3.8 -c \"\nimport json\nwith open\\('tests/log/openai/post_collation.json'\\) as f:\n d = json.load\\(f\\)\noutput = d['output']\nif isinstance\\(output, str\\):\n output = json.loads\\(output\\)\nprint\\('Output keys:', list\\(output.keys\\(\\)\\)\\)\nif 'regularization_suggestions' in output:\n print\\(json.dumps\\(output['regularization_suggestions'], indent=2, ensure_ascii=False\\)\\)\nelse:\n print\\('No regularization_suggestions key'\\)\n\" 2>&1)", "Bash(python3.8 -c \"\nimport json\nwith open\\('tests/log/openai/stdout.txt'\\) as f:\n print\\(f.read\\(\\)[:3000]\\)\n\" 2>&1)", "Bash(node:*)", "Bash(PYTHONPATH=vmr python3.8 -c \"\nfrom collation.core.collation_engine import CollationEngine\n\nclass TestEngine\\(CollationEngine\\):\n _models = []\n def name\\(self\\): return 'test'\n def collate\\(self, data, options, basetext_siglum\\): pass\n\nwith open\\('/data/home/coptot/src/community/contrib/ai/claude/collation-assistant/system.prompt'\\) as f:\n prompt = f.read\\(\\)\n\ne_on = TestEngine\\({}\\)\ne_off = TestEngine\\({'include_regularization': False}\\)\n\non = e_on.process_prompt_template\\(prompt\\)\noff = e_off.process_prompt_template\\(prompt\\)\n\nprint\\('Enabled: {} chars, {} lines'.format\\(len\\(on\\), on.count\\(chr\\(10\\)\\)\\)\\)\nprint\\('Disabled: {} chars, {} lines'.format\\(len\\(off\\), off.count\\(chr\\(10\\)\\)\\)\\)\nprint\\('Saved: {} chars \\({:.0f}%\\)'.format\\(len\\(on\\) - len\\(off\\), \\(len\\(on\\) - len\\(off\\)\\) / len\\(on\\) * 100\\)\\)\nprint\\(\\)\nprint\\('Enabled has STAGE 3:', 'STAGE 3' in on\\)\nprint\\('Disabled has STAGE 3:', 'STAGE 3' in off\\)\nprint\\('Enabled has THREE:', 'THREE STAGES' in on\\)\nprint\\('Disabled has TWO:', 'TWO STAGES' in off\\)\nprint\\('Enabled has 5 REQUIRED:', '5 REQUIRED' in on\\)\nprint\\('Disabled has 4 REQUIRED:', '4 REQUIRED' in off\\)\nprint\\('Enabled has regularization_suggestions in example:', 'regularization_suggestions' in on\\)\nprint\\('Disabled has regularization_suggestions:', 'regularization_suggestions' in off\\)\n\" 2>&1)", "Bash(mysql vmr:*)", "Bash(javap -p -c /tmp/collatex_classes/eu/interedition/collatex/tools/JsonProcessor.class)", "Bash(javap -verbose /tmp/collatex_classes/eu/interedition/collatex/tools/JsonProcessor.class)", "Read(//tmp/**)", "Bash(javap -verbose eu.interedition.collatex.tools.JsonProcessor)", "Bash(mkdir -p /tmp/collatex_classes)", "Bash(jar xf:*)", "Bash(javap -verbose -cp . eu.interedition.collatex.tools.JsonProcessor)", "Bash(wc -l 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--data=test-data-num28.2.json)", "Bash(python3.8 test_engines.py gemini gemini-3-flash-preview --data=test-data-num28.2.json)", "Bash(python3.8 test_engines.py gemini gemini-3.1-flash-lite-preview --data=test-data-num28.2.json)", "Bash(python3.8 test_engines.py claude claude-sonnet-4-6 --data=test-data-num28.2.json 2>&1)", "Bash(python3.8 test_engines.py claude claude-haiku-4-5-20251001 --data=test-data-num28.2.json 2>&1)", "Bash(python3.8 test_engines.py gemini gemini-3.1-pro-preview --data=test-data-num28.2.json 2>&1)", "Bash(python3.8 test_engines.py openai gpt-5.4 --data=test-data-num28.2.json 2>&1)", "Bash(python3.8 test_engines.py openai gpt-5.4-mini --data=test-data-num28.2.json 2>&1)", "Bash(python3.8 test_engines.py xai grok-4.20-beta-0309-reasoning --data=test-data-num28.2.json 2>&1)", "WebFetch(domain:openai.com)", "WebFetch(domain:platform.openai.com)", "WebFetch(domain:pricepertoken.com)", "WebFetch(domain:developers.openai.com)", "WebFetch(domain:ai.google.dev)", "Bash(python3.8 -c \"\nimport json\nwith open\\('/data/home/coptot/src/community/webapp/tmp/post_collation.json'\\) as f:\n data = json.load\\(f\\)\ninp = data.get\\('input', {}\\)\nwitnesses = inp.get\\('witnesses', []\\)\nout = data.get\\('output', {}\\)\nprint\\('Witnesses:', [w['id'] for w in witnesses]\\)\nprint\\('Tokens per witness:'\\)\nfor w in witnesses:\n print\\(f' {w[\\\\\"id\\\\\"]}: {len\\(w[\\\\\"tokens\\\\\"]\\)}'\\)\nsugs = out.get\\('regularization_suggestions', []\\)\nprint\\(f'\\\\nSuggestions: {len\\(sugs\\)}'\\)\nfor s in sugs:\n print\\(f' {s.get\\(\\\\\"source\\\\\"\\)} -> {s.get\\(\\\\\"target\\\\\"\\)} [{s.get\\(\\\\\"class\\\\\"\\)}]'\\)\nfb = out.get\\('collation_feedback', {}\\)\nprint\\(f'\\\\nEngine: {fb.get\\(\\\\\"engine_usage\\\\\", {}\\).get\\(\\\\\"summary\\\\\", \\\\\"?\\\\\"\\)}'\\)\n\")", "Bash(curl -s -X POST http://localhost/community/vmr/api/regularization/get/ -d \"includeGlobals=true&indexContext=Num.28.30\")", "Bash(curl:*)", "Bash(grep -n \"variant/apparatus\\\\|collation.*save\\\\|$.ajax.*put\" /home/coptot/src/collation_editor_core/static/CE_core/js/*.js)", "Bash(grep -rn \"suffixes\\\\|reading_classes\" /home/coptot/src/collation_editor_core/static/CE_core/js/*.js)", "Bash(grep -rn \"suffixes.*push\\\\|suffixes.*=.*\\\\[\\\\]\" /home/coptot/src/collation_editor_core/static/CE_core/js/*.js)", "Bash(grep -rn \"_doGetSiglaSuffixes\\\\|reading.suffixes\" /home/coptot/src/collation_editor_core/static/CE_core/js/*.js)", "Bash(python3.8 -c \":*)", "Bash(python3.8 -c \"\nimport json\nwith open\\('/data/home/coptot/src/community/webapp/tmp/post_collation.json'\\) as f:\n data = json.load\\(f\\)\nout = data.get\\('output', {}\\)\nsugs = out.get\\('regularization_suggestions', []\\)\nprint\\(f'Suggestions: {len\\(sugs\\)}'\\)\nfor i, s in enumerate\\(sugs\\):\n print\\(f' {i}: {s.get\\(\\\\\"source\\\\\"\\)} -> {s.get\\(\\\\\"target\\\\\"\\)} [{s.get\\(\\\\\"class\\\\\"\\)}] \\\\\"{s.get\\(\\\\\"reason\\\\\",\\\\\"\\\\\"\\)}\\\\\" wit={s.get\\(\\\\\"source_witness\\\\\",\\\\\"?\\\\\"\\)}:{s.get\\(\\\\\"source_index\\\\\",\\\\\"?\\\\\"\\)}'\\)\nfb = out.get\\('collation_feedback', {}\\)\nprint\\(f'\\\\nEngine: {fb.get\\(\\\\\"engine_usage\\\\\", {}\\).get\\(\\\\\"summary\\\\\", \\\\\"?\\\\\"\\)}'\\)\n\")", "Bash(python3.8 -c \"\nimport json\nwith open\\('/data/home/coptot/src/community/webapp/tmp/post_collation.json'\\) as f:\n data = json.load\\(f\\)\nout = data.get\\('output', {}\\)\nsugs = out.get\\('regularization_suggestions', []\\)\ndiac = [s for s in sugs if s and s.get\\('reason'\\) == 'simple diacritic difference']\nprint\\(f'Total suggestions: {len\\(sugs\\)}'\\)\nprint\\(f'Remaining diacritic suggestions: {len\\(diac\\)}'\\)\nfor s in diac:\n print\\(f' {s.get\\(\\\\\"source\\\\\"\\)} -> {s.get\\(\\\\\"target\\\\\"\\)} wit={s.get\\(\\\\\"source_witness\\\\\"\\)}:{s.get\\(\\\\\"source_index\\\\\"\\)}'\\)\n\")", "Bash(python3.8 -c \"\nimport json\nwith open\\('/data/home/coptot/src/community/webapp/tmp/post_collation.json'\\) as f:\n data = json.load\\(f\\)\nout = data.get\\('output', {}\\)\nsugs = out.get\\('regularization_suggestions', []\\)\ndiac = [s for s in sugs if s and s.get\\('reason'\\) == 'simple diacritic difference']\nprint\\(f'Total suggestions: {len\\(sugs\\)}, remaining diacritic: {len\\(diac\\)}'\\)\nfor s in diac:\n print\\(f' {s.get\\(\\\\\"source\\\\\"\\)} -> {s.get\\(\\\\\"target\\\\\"\\)} wit={s.get\\(\\\\\"source_witness\\\\\"\\)}:{s.get\\(\\\\\"source_index\\\\\"\\)}'\\)\n\")" ] } }