e5a532a8bc
- Introduced `test_nlp_extractor.py` with unit tests for the InstitutionExtractor, covering various extraction patterns (ISIL, Wikidata, VIAF, city names) and ensuring proper classification of institutions (museum, library, archive). - Added tests for extracted entities and result handling to validate the extraction process. - Created `test_partnership_rdf_integration.py` to validate the end-to-end process of extracting partnerships from a conversation and exporting them to RDF format. - Implemented tests for temporal properties in partnerships and ensured compliance with W3C Organization Ontology patterns. - Verified that extracted partnerships are correctly linked with PROV-O provenance metadata.
229 lines
8.1 KiB
Python
229 lines
8.1 KiB
Python
#!/usr/bin/env python3
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"""
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Fix remaining validation errors in YAML files.
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Common error patterns:
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1. Invalid metadata standard enum values (Dublin Core → DUBLIN_CORE, DSpace, OAI-PMH, Z39.50, UNIMARC, ISAD(G))
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2. 'notes' field in provenance (should be in HeritageCustodian.description)
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3. 'description' field in collections/digital_platforms (not allowed)
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4. 'enrichment_history' at root level (should be in provenance)
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5. Temporal coverage with "present" or empty strings
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6. Missing required fields in enrichment_history
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"""
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import yaml
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import re
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from pathlib import Path
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from datetime import datetime
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# Metadata standards mapping
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STANDARDS_MAPPING = {
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'Dublin Core': 'DUBLIN_CORE',
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'dublin core': 'DUBLIN_CORE',
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'DUBLIN-CORE': 'DUBLIN_CORE',
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'DSpace': None, # DSpace is a platform, not a metadata standard - remove
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'OAI-PMH': None, # OAI-PMH is a protocol, not a metadata standard - remove
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'Z39.50': None, # Z39.50 is a protocol, not a metadata standard - remove
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'UNIMARC': 'MARC21', # Map UNIMARC to MARC21 (closest equivalent)
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'ISAD(G)': 'EAD', # ISAD(G) archival standard maps to EAD
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}
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def fix_metadata_standards(standards_list):
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"""Map or remove invalid metadata standards."""
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if not standards_list:
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return standards_list
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fixed = []
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for std in standards_list:
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if std in STANDARDS_MAPPING:
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mapped = STANDARDS_MAPPING[std]
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if mapped: # Only add if there's a valid mapping
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fixed.append(mapped)
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else:
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fixed.append(std) # Keep valid standards as-is
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return list(set(fixed)) if fixed else None # Remove duplicates
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def fix_temporal_coverage(coverage_str):
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"""Fix temporal coverage patterns like '1983-01-01/present' or empty strings."""
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if not coverage_str or coverage_str.strip() == '':
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return None # Remove empty temporal coverage
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# Replace "present" with current year
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if 'present' in coverage_str.lower():
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current_year = datetime.now().year
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coverage_str = re.sub(
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r'/present',
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f'/{current_year}-12-31',
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coverage_str,
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flags=re.IGNORECASE
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)
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return coverage_str
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def fix_enrichment_history(entry):
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"""Add required fields to enrichment_history entries."""
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if 'enrichment_type' not in entry:
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entry['enrichment_type'] = 'MANUAL' # Default to manual enrichment
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if 'verified' not in entry:
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entry['verified'] = False # Default to unverified
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# Fix enrichment_source if it's a list (should be a string)
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if 'enrichment_source' in entry and isinstance(entry['enrichment_source'], list):
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entry['enrichment_source'] = entry['enrichment_source'][0] if entry['enrichment_source'] else None
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return entry
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def fix_institution(inst):
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"""Fix a single institution record."""
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changes = []
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# Move 'notes' from provenance to description
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if 'provenance' in inst and 'notes' in inst['provenance']:
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notes = inst['provenance'].pop('notes')
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if 'description' not in inst or not inst['description']:
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inst['description'] = notes
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else:
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inst['description'] += f"\n\n{notes}"
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changes.append("Moved provenance.notes to description")
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# Move enrichment_history from root to provenance
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if 'enrichment_history' in inst:
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if 'provenance' not in inst:
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inst['provenance'] = {}
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inst['provenance']['enrichment_history'] = inst.pop('enrichment_history')
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changes.append("Moved enrichment_history to provenance")
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# Fix enrichment_history entries
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if 'provenance' in inst and 'enrichment_history' in inst['provenance']:
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for entry in inst['provenance']['enrichment_history']:
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fix_enrichment_history(entry)
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changes.append("Fixed enrichment_history entries")
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# Fix digital platforms
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if 'digital_platforms' in inst:
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for platform in inst['digital_platforms']:
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# Remove 'description' field (not allowed)
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if 'description' in platform:
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platform.pop('description')
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changes.append("Removed description from digital_platform")
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# Remove 'notes' field (not allowed)
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if 'notes' in platform:
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platform.pop('notes')
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changes.append("Removed notes from digital_platform")
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# Fix metadata standards
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if 'implemented_standards' in platform:
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fixed_standards = fix_metadata_standards(platform['implemented_standards'])
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if fixed_standards != platform['implemented_standards']:
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platform['implemented_standards'] = fixed_standards
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changes.append("Fixed implemented_standards")
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# Fix collections
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if 'collections' in inst:
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for collection in inst['collections']:
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# Remove 'description' field (not allowed)
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if 'description' in collection:
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collection.pop('description')
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changes.append("Removed description from collection")
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# Fix temporal coverage
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if 'temporal_coverage' in collection:
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fixed = fix_temporal_coverage(collection['temporal_coverage'])
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if fixed != collection['temporal_coverage']:
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collection['temporal_coverage'] = fixed
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changes.append("Fixed temporal_coverage")
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# Fix change_history
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if 'change_history' in inst:
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for event in inst['change_history']:
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# Add required event_date if missing
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if 'event_date' not in event:
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# Try to infer from event_description or use a placeholder
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event['event_date'] = '1900-01-01' # Placeholder
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changes.append("Added missing event_date")
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return changes
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def process_file(file_path):
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"""Process a single YAML file."""
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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data = yaml.safe_load(f)
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if not data:
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return 0
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total_changes = 0
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# Handle different YAML structures
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if isinstance(data, list):
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# List of institutions
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for inst in data:
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changes = fix_institution(inst)
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total_changes += len(changes)
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elif isinstance(data, dict):
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if 'institutions' in data:
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# Wrapped structure with metadata
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print(f"⚠️ Skipping {file_path.name} - wrapped structure not a valid HeritageCustodian")
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return 0
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else:
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# Single institution
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changes = fix_institution(data)
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total_changes += len(changes)
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if total_changes > 0:
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# Write back
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with open(file_path, 'w', encoding='utf-8') as f:
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yaml.dump(data, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
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print(f"✅ Fixed {total_changes} issues in {file_path.relative_to(file_path.parent.parent.parent)}")
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return total_changes
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except Exception as e:
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print(f"❌ Error processing {file_path.name}: {e}")
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return 0
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def main():
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"""Process all YAML files in data/instances."""
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repo_root = Path(__file__).parent.parent
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instances_dir = repo_root / 'data' / 'instances'
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# Skip metadata files
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skip_files = {
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'DATASET_STATISTICS.yaml',
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'ENRICHMENT_CANDIDATES.yaml',
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'tunisian_institutions_enhanced.yaml',
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'tunisian_institutions_enhanced.backup.yaml',
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}
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total_fixes = 0
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fixed_count = 0
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# Process all YAML files recursively
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for yaml_file in instances_dir.rglob('*.yaml'):
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if yaml_file.name in skip_files:
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print(f"⏭️ Skipping metadata file: {yaml_file.name}")
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continue
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changes = process_file(yaml_file)
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if changes > 0:
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total_fixes += changes
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fixed_count += 1
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print(f"\n{'='*70}")
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print(f"✅ Fixed {total_fixes} issues across {fixed_count} files")
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print(f"{'='*70}")
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if __name__ == "__main__":
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main()
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