| |
| """ |
| Generate realistic clinical notes (progress notes, SOAP notes, H&P, consultation notes). |
| These are the most common text-heavy medical documents. |
| """ |
|
|
| import sys |
| import os |
| from pathlib import Path |
| from faker import Faker |
| import random |
| import json |
| from datetime import datetime, timedelta |
| from reportlab.lib.pagesizes import letter |
| from reportlab.lib import colors |
| from reportlab.lib.units import inch |
| from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle |
| from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle, PageBreak |
| from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY |
|
|
|
|
| class ClinicalNotesGenerator: |
| """Generate realistic clinical progress notes and SOAP notes.""" |
|
|
| def __init__(self): |
| self.faker = Faker() |
| Faker.seed(42) |
| self.styles = getSampleStyleSheet() |
| self._setup_custom_styles() |
|
|
| def _setup_custom_styles(self): |
| """Custom styles for clinical notes.""" |
| self.header_style = ParagraphStyle( |
| 'Header', parent=self.styles['Heading1'], |
| fontSize=14, textColor=colors.HexColor('#003366'), |
| alignment=TA_CENTER, spaceAfter=8, fontName='Helvetica-Bold' |
| ) |
|
|
| self.facility_style = ParagraphStyle( |
| 'Facility', parent=self.styles['Normal'], |
| fontSize=11, alignment=TA_CENTER, spaceAfter=4, fontName='Helvetica-Bold' |
| ) |
|
|
| self.section_style = ParagraphStyle( |
| 'Section', parent=self.styles['Heading2'], |
| fontSize=10, textColor=colors.HexColor('#004080'), |
| spaceBefore=8, spaceAfter=4, fontName='Helvetica-Bold' |
| ) |
|
|
| self.body_style = ParagraphStyle( |
| 'Body', parent=self.styles['Normal'], |
| fontSize=9, leading=12, alignment=TA_JUSTIFY |
| ) |
|
|
| self.small_style = ParagraphStyle( |
| 'Small', parent=self.styles['Normal'], |
| fontSize=8, textColor=colors.grey |
| ) |
|
|
| def create_progress_note(self, patient_data, output_path): |
| """Create a realistic progress/clinical note.""" |
| doc = SimpleDocTemplate(str(output_path), pagesize=letter, |
| topMargin=0.4*inch, bottomMargin=0.4*inch) |
| story = [] |
| annotations = [] |
|
|
| |
| facility_name = f"{self.faker.company()} Medical Center" |
| facility_address = self.faker.address().replace('\n', ', ') |
|
|
| story.append(Paragraph(facility_name, self.facility_style)) |
| story.append(Paragraph(facility_address, self.small_style)) |
| story.append(Spacer(1, 0.15*inch)) |
|
|
| |
| story.append(Paragraph("PROGRESS NOTE", self.header_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| note_date = datetime.now() |
| visit_date = note_date - timedelta(hours=random.randint(1, 8)) |
|
|
| patient_bar = [ |
| ['Patient:', patient_data['name'], 'DOB:', patient_data['birth_date'], 'MRN:', patient_data['mrn']], |
| ['Date of Visit:', visit_date.strftime('%m/%d/%Y %H:%M'), 'Provider:', f"Dr. {self.faker.last_name()}", 'Location:', f"{random.choice(['Clinic 1A', 'Clinic 2B', 'Suite 305', 'Room 412'])}"], |
| ] |
|
|
| annotations.extend([ |
| {'type': 'name', 'value': patient_data['name'], 'page': 1, 'context': 'patient'}, |
| {'type': 'date', 'value': patient_data['birth_date'], 'page': 1, 'context': 'dob'}, |
| {'type': 'mrn', 'value': patient_data['mrn'], 'page': 1}, |
| {'type': 'date', 'value': visit_date.strftime('%Y-%m-%d'), 'page': 1, 'context': 'visit'}, |
| ]) |
|
|
| info_table = Table(patient_bar, colWidths=[0.7*inch, 1.8*inch, 0.5*inch, 1.2*inch, 0.6*inch, 1.2*inch]) |
| info_table.setStyle(TableStyle([ |
| ('FONTNAME', (0, 0), (0, -1), 'Helvetica-Bold'), |
| ('FONTNAME', (2, 0), (2, -1), 'Helvetica-Bold'), |
| ('FONTNAME', (4, 0), (4, -1), 'Helvetica-Bold'), |
| ('FONTSIZE', (0, 0), (-1, -1), 8), |
| ('BOX', (0, 0), (-1, -1), 1, colors.black), |
| ('GRID', (0, 0), (-1, -1), 0.25, colors.grey), |
| ('VALIGN', (0, 0), (-1, -1), 'MIDDLE'), |
| ('BACKGROUND', (0, 0), (0, -1), colors.HexColor('#f0f0f0')), |
| ('BACKGROUND', (2, 0), (2, -1), colors.HexColor('#f0f0f0')), |
| ('BACKGROUND', (4, 0), (4, -1), colors.HexColor('#f0f0f0')), |
| ])) |
| story.append(info_table) |
| story.append(Spacer(1, 0.15*inch)) |
|
|
| |
| story.append(Paragraph("CHIEF COMPLAINT:", self.section_style)) |
| complaints = [ |
| "Follow-up for hypertension and diabetes", |
| "Chest pain and shortness of breath", |
| "Persistent cough for 2 weeks", |
| "Annual physical examination", |
| "Medication refills and lab review", |
| "Joint pain and swelling", |
| "Headaches and dizziness", |
| ] |
| cc_text = random.choice(complaints) |
| story.append(Paragraph(cc_text, self.body_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("HISTORY OF PRESENT ILLNESS:", self.section_style)) |
|
|
| age = datetime.now().year - datetime.strptime(patient_data['birth_date'], '%Y-%m-%d').year |
| hpi_text = f""" |
| {patient_data['name']} is a {age}-year-old patient who presents today for {cc_text.lower()}. |
| Patient reports symptoms started approximately {random.randint(2, 14)} days ago. |
| The patient denies fever, chills, or night sweats. No recent travel history. |
| Last seen in this office on {(note_date - timedelta(days=random.randint(30, 180))).strftime('%m/%d/%Y')}. |
| Patient has been compliant with current medications and reports no adverse effects. |
| {random.choice([ |
| 'Blood pressure at home has been well-controlled.', |
| 'Patient reports occasional palpitations.', |
| 'Some difficulty sleeping noted.', |
| 'Exercise tolerance remains good.', |
| 'No changes in weight reported.' |
| ])} |
| """ |
| story.append(Paragraph(hpi_text, self.body_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("REVIEW OF SYSTEMS:", self.section_style)) |
| ros_text = """ |
| <b>Constitutional:</b> No fever, no weight changes<br/> |
| <b>HEENT:</b> No vision changes, no hearing loss, no sore throat<br/> |
| <b>Cardiovascular:</b> No chest pain, no palpitations, no edema<br/> |
| <b>Respiratory:</b> No shortness of breath, no wheezing, no cough<br/> |
| <b>GI:</b> No nausea, no vomiting, no diarrhea, no constipation<br/> |
| <b>GU:</b> No dysuria, no hematuria, no urgency<br/> |
| <b>Musculoskeletal:</b> No joint pain, no muscle weakness<br/> |
| <b>Neurological:</b> No headaches, no dizziness, no numbness<br/> |
| <b>Psychiatric:</b> No depression, no anxiety |
| """ |
| story.append(Paragraph(ros_text, self.body_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("PAST MEDICAL HISTORY:", self.section_style)) |
| pmh_conditions = patient_data.get('medications', []) |
| pmh_text = "Hypertension, Type 2 Diabetes Mellitus, Hyperlipidemia, Osteoarthritis" if not pmh_conditions else ", ".join([m['name'].split()[0] for m in pmh_conditions[:4]]) |
| story.append(Paragraph(pmh_text, self.body_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("CURRENT MEDICATIONS:", self.section_style)) |
| for i, med in enumerate(patient_data['medications'][:5], 1): |
| med_text = f"{i}. {med['name']} - {med['dosage']}" |
| story.append(Paragraph(med_text, self.body_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("ALLERGIES:", self.section_style)) |
| story.append(Paragraph(random.choice(['NKDA (No Known Drug Allergies)', 'Penicillin - rash', 'Sulfa - hives']), self.body_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("SOCIAL HISTORY:", self.section_style)) |
| living_with = random.choice(['spouse', 'family', 'alone', 'partner']) |
| smoking = random.choice(['Non-smoker.', 'Former smoker, quit 5 years ago.', 'Smoker, 1 PPD.']) |
| alcohol = random.choice(['Denies alcohol use.', 'Occasional alcohol use.', 'Social drinker.']) |
| occupation = random.choice(['Retired', 'Office worker', 'Teacher', 'Healthcare worker', 'Manual laborer']) |
|
|
| social_text = f""" |
| Patient lives with {living_with} at {patient_data['address']}. |
| Contact phone: {patient_data['phone']}. |
| {smoking} |
| {alcohol} |
| Occupation: {occupation}. |
| """ |
| story.append(Paragraph(social_text, self.body_style)) |
|
|
| annotations.extend([ |
| {'type': 'address', 'value': patient_data['address'], 'page': 1, 'context': 'social_history'}, |
| {'type': 'phone', 'value': patient_data['phone'], 'page': 1, 'context': 'contact'}, |
| ]) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("PHYSICAL EXAMINATION:", self.section_style)) |
| vitals_data = [ |
| ['Vital Signs:', f"BP {random.randint(110, 140)}/{random.randint(70, 90)}", f"HR {random.randint(60, 90)}", f"RR {random.randint(12, 20)}", f"Temp {round(random.uniform(97.0, 99.5), 1)}°F", f"SpO2 {random.randint(95, 100)}%"], |
| ] |
| vitals_table = Table(vitals_data, colWidths=[1.2*inch, 1*inch, 0.8*inch, 0.8*inch, 1*inch, 0.8*inch]) |
| vitals_table.setStyle(TableStyle([ |
| ('FONTNAME', (0, 0), (0, 0), 'Helvetica-Bold'), |
| ('FONTSIZE', (0, 0), (-1, -1), 8), |
| ('GRID', (0, 0), (-1, -1), 0.5, colors.grey), |
| ])) |
| story.append(vitals_table) |
| story.append(Spacer(1, 0.05*inch)) |
|
|
| pe_text = """ |
| <b>General:</b> Alert and oriented x3, no acute distress, well-appearing<br/> |
| <b>HEENT:</b> Normocephalic, atraumatic. PERRLA. EOMI. TMs clear bilaterally.<br/> |
| <b>Neck:</b> Supple, no JVD, no lymphadenopathy, no thyromegaly<br/> |
| <b>Cardiovascular:</b> Regular rate and rhythm. No murmurs, rubs, or gallops. No edema.<br/> |
| <b>Respiratory:</b> Clear to auscultation bilaterally. No wheezes, rales, or rhonchi.<br/> |
| <b>Abdomen:</b> Soft, non-tender, non-distended. Normal bowel sounds. No organomegaly.<br/> |
| <b>Extremities:</b> Full range of motion. No cyanosis, clubbing, or edema. Pulses 2+ bilaterally.<br/> |
| <b>Neurological:</b> Cranial nerves II-XII intact. Strength 5/5 throughout. Sensation intact. |
| """ |
| story.append(Paragraph(pe_text, self.body_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("ASSESSMENT AND PLAN:", self.section_style)) |
|
|
| assessment_text = f""" |
| <b>1. {random.choice(['Hypertension', 'Type 2 Diabetes', 'Hyperlipidemia'])} - Stable</b><br/> |
| - Continue current medications<br/> |
| - Recheck labs in 3 months<br/> |
| - Follow up in {random.randint(3, 6)} months<br/><br/> |
| |
| <b>2. {random.choice(['Preventive care', 'Health maintenance'])}</b><br/> |
| - Mammogram due (schedule)<br/> |
| - Colonoscopy at age 50<br/> |
| - Annual flu vaccine recommended<br/><br/> |
| |
| <b>3. Patient education</b><br/> |
| - Discussed lifestyle modifications<br/> |
| - Importance of medication compliance<br/> |
| - Diet and exercise counseling provided |
| """ |
| story.append(Paragraph(assessment_text, self.body_style)) |
| story.append(Spacer(1, 0.15*inch)) |
|
|
| |
| story.append(Paragraph("ORDERS:", self.section_style)) |
| orders_text = f""" |
| • Labs: CBC, CMP, HbA1c, Lipid Panel - drawn today<br/> |
| • Referral to {random.choice(['Cardiology', 'Endocrinology', 'Physical Therapy'])}<br/> |
| • Prescription refills as noted above<br/> |
| • Return to clinic in {random.randint(3, 6)} months or PRN |
| """ |
| story.append(Paragraph(orders_text, self.body_style)) |
| story.append(Spacer(1, 0.2*inch)) |
|
|
| |
| provider_name = f"Dr. {self.faker.name()}" |
| signature_date = note_date.strftime('%m/%d/%Y %H:%M') |
|
|
| annotations.extend([ |
| {'type': 'name', 'value': provider_name, 'page': 1, 'context': 'provider'}, |
| {'type': 'date', 'value': note_date.strftime('%Y-%m-%d'), 'page': 1, 'context': 'signature'}, |
| ]) |
|
|
| signature_text = f""" |
| <b>Electronically signed by:</b><br/> |
| {provider_name}, MD<br/> |
| Internal Medicine<br/> |
| NPI: {self.faker.random_number(digits=10, fix_len=True)}<br/> |
| Date/Time: {signature_date}<br/> |
| <br/> |
| <i>This document has been electronically signed and is legally binding.</i> |
| """ |
| story.append(Paragraph(signature_text, self.body_style)) |
|
|
| doc.build(story) |
| return annotations |
|
|
| def create_soap_note(self, patient_data, output_path): |
| """Create a SOAP (Subjective, Objective, Assessment, Plan) note.""" |
| doc = SimpleDocTemplate(str(output_path), pagesize=letter, |
| topMargin=0.4*inch, bottomMargin=0.4*inch) |
| story = [] |
| annotations = [] |
|
|
| |
| facility_name = f"{self.faker.company()} Clinic" |
| story.append(Paragraph(facility_name, self.facility_style)) |
| story.append(Paragraph("SOAP NOTE", self.header_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| note_date = datetime.now() |
|
|
| patient_info = [ |
| ['Patient:', patient_data['name'], 'DOB:', patient_data['birth_date']], |
| ['MRN:', patient_data['mrn'], 'Date:', note_date.strftime('%m/%d/%Y')], |
| ] |
|
|
| annotations.extend([ |
| {'type': 'name', 'value': patient_data['name'], 'page': 1}, |
| {'type': 'date', 'value': patient_data['birth_date'], 'page': 1}, |
| {'type': 'mrn', 'value': patient_data['mrn'], 'page': 1}, |
| {'type': 'date', 'value': note_date.strftime('%Y-%m-%d'), 'page': 1}, |
| ]) |
|
|
| info_table = Table(patient_info, colWidths=[0.8*inch, 2.5*inch, 0.6*inch, 1.5*inch]) |
| info_table.setStyle(TableStyle([ |
| ('FONTNAME', (0, 0), (0, -1), 'Helvetica-Bold'), |
| ('FONTNAME', (2, 0), (2, -1), 'Helvetica-Bold'), |
| ('FONTSIZE', (0, 0), (-1, -1), 9), |
| ('BOX', (0, 0), (-1, -1), 1, colors.black), |
| ('GRID', (0, 0), (-1, -1), 0.25, colors.grey), |
| ])) |
| story.append(info_table) |
| story.append(Spacer(1, 0.15*inch)) |
|
|
| |
| story.append(Paragraph("S - SUBJECTIVE:", self.section_style)) |
| subjective_text = f""" |
| Patient presents with chief complaint of {random.choice(['follow-up visit', 'medication refill', 'new onset symptoms'])}. |
| Reports feeling {random.choice(['well overall', 'somewhat fatigued', 'having good days and bad days'])}. |
| {random.choice([ |
| 'No new concerns since last visit.', |
| 'Some questions about current medications.', |
| 'Interested in discussing preventive care options.' |
| ])} |
| Pain level: {random.randint(0, 3)}/10. |
| Sleep: {random.choice(['Good', 'Fair', 'Poor with occasional insomnia'])}. |
| Appetite: {random.choice(['Normal', 'Increased', 'Decreased'])}. |
| Contact info verified: {patient_data['phone']}, {patient_data['email']}. |
| """ |
| story.append(Paragraph(subjective_text, self.body_style)) |
|
|
| annotations.extend([ |
| {'type': 'phone', 'value': patient_data['phone'], 'page': 1}, |
| {'type': 'email', 'value': patient_data['email'], 'page': 1}, |
| ]) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("O - OBJECTIVE:", self.section_style)) |
| objective_text = f""" |
| <b>Vitals:</b> BP {random.randint(110, 135)}/{random.randint(70, 88)}, HR {random.randint(62, 88)}, |
| Temp {round(random.uniform(97.5, 98.8), 1)}°F, RR {random.randint(14, 18)}, SpO2 {random.randint(96, 100)}%<br/> |
| <b>Weight:</b> {random.randint(120, 220)} lbs<br/> |
| <b>Exam:</b> Alert, oriented. Heart RRR. Lungs CTAB. Abdomen soft, NT/ND. Extremities no edema.<br/> |
| <b>Recent Labs ({(note_date - timedelta(days=random.randint(7, 30))).strftime('%m/%d/%Y')}):</b><br/> |
| Glucose: {random.randint(85, 120)} mg/dL<br/> |
| HbA1c: {round(random.uniform(5.0, 7.0), 1)}%<br/> |
| LDL: {random.randint(70, 140)} mg/dL<br/> |
| Cr: {round(random.uniform(0.8, 1.2), 1)} mg/dL |
| """ |
| story.append(Paragraph(objective_text, self.body_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("A - ASSESSMENT:", self.section_style)) |
| assessment_text = f""" |
| 1. {random.choice(['Hypertension', 'Type 2 Diabetes Mellitus', 'Hyperlipidemia'])} - well-controlled<br/> |
| 2. {random.choice(['Preventive health maintenance', 'Chronic disease management'])}<br/> |
| 3. No acute issues at this time |
| """ |
| story.append(Paragraph(assessment_text, self.body_style)) |
| story.append(Spacer(1, 0.1*inch)) |
|
|
| |
| story.append(Paragraph("P - PLAN:", self.section_style)) |
| plan_text = f""" |
| • Continue current medication regimen<br/> |
| • Recheck labs in {random.randint(3, 6)} months<br/> |
| • Scheduled follow-up {(note_date + timedelta(days=random.randint(60, 180))).strftime('%m/%d/%Y')}<br/> |
| • Patient education provided regarding {random.choice(['medication compliance', 'lifestyle modifications', 'diet and exercise'])}<br/> |
| • Emergency contact: {random.choice([patient_data['phone'], self.faker.phone_number()])}<br/> |
| • Patient questions answered, agrees with plan |
| """ |
| story.append(Paragraph(plan_text, self.body_style)) |
| story.append(Spacer(1, 0.2*inch)) |
|
|
| |
| provider_name = f"Dr. {self.faker.name()}" |
| annotations.append({'type': 'name', 'value': provider_name, 'page': 1, 'context': 'provider'}) |
|
|
| signature = f""" |
| <b>Provider:</b> {provider_name}, MD<br/> |
| <b>Signed:</b> {note_date.strftime('%m/%d/%Y %H:%M')}<br/> |
| <b>Cosigned:</b> {random.choice(['N/A', f'Dr. {self.faker.last_name()}, Attending Physician'])} |
| """ |
| story.append(Paragraph(signature, self.body_style)) |
|
|
| doc.build(story) |
| return annotations |
|
|
|
|
| def main(): |
| import argparse |
|
|
| parser = argparse.ArgumentParser(description='Generate realistic clinical notes') |
| parser.add_argument('--num-patients', type=int, default=100, help='Number of patients') |
| parser.add_argument('--num-documents', type=int, default=500, help='Number of notes') |
| parser.add_argument('--output-dir', type=str, default='./data/pdfs', help='Output directory') |
| parser.add_argument('--annotations-dir', type=str, default='./data/annotations', help='Annotations directory') |
|
|
| args = parser.parse_args() |
|
|
| print("="*70) |
| print("Generating Realistic Clinical Notes") |
| print("="*70) |
| print(f"Patients: {args.num_patients}") |
| print(f"Notes: {args.num_documents}") |
| print() |
|
|
| |
| faker = Faker() |
| Faker.seed(43) |
|
|
| patients = [] |
| for i in range(args.num_patients): |
| patient = { |
| 'name': faker.name(), |
| 'birth_date': faker.date_of_birth(minimum_age=18, maximum_age=85).strftime('%Y-%m-%d'), |
| 'ssn': faker.ssn(), |
| 'phone': faker.phone_number(), |
| 'email': faker.email(), |
| 'address': faker.address().replace('\n', ', '), |
| 'mrn': f"MRN-{faker.random_number(digits=8, fix_len=True)}", |
| 'medications': [ |
| {'name': random.choice([ |
| 'Lisinopril 10mg', 'Metformin 500mg', 'Atorvastatin 20mg', |
| 'Amlodipine 5mg', 'Omeprazole 20mg', 'Levothyroxine 50mcg', |
| 'Aspirin 81mg', 'Gabapentin 300mg' |
| ]), |
| 'dosage': f'{random.choice(["Take 1", "Take 2"])} {random.choice(["daily", "twice daily", "as needed"])}'} |
| for _ in range(random.randint(2, 5)) |
| ], |
| } |
| patients.append(patient) |
|
|
| print(f"✓ Generated {len(patients)} synthetic patients") |
|
|
| |
| generator = ClinicalNotesGenerator() |
|
|
| output_dir = Path(args.output_dir) |
| annotations_dir = Path(args.annotations_dir) |
| output_dir.mkdir(parents=True, exist_ok=True) |
| annotations_dir.mkdir(parents=True, exist_ok=True) |
|
|
| note_types = [ |
| ('progress_note', generator.create_progress_note), |
| ('soap_note', generator.create_soap_note), |
| ] |
|
|
| print(f"\nGenerating {args.num_documents} clinical notes...") |
|
|
| for i in range(args.num_documents): |
| patient = random.choice(patients) |
| note_type, create_func = random.choice(note_types) |
|
|
| timestamp = datetime.now().strftime('%Y%m%d_%H%M%S') |
| pdf_name = f"{note_type}_{i:04d}_{timestamp}.pdf" |
| pdf_path = output_dir / pdf_name |
|
|
| |
| annotations = create_func(patient, pdf_path) |
|
|
| |
| annotation_file = annotations_dir / f"{pdf_name}.json" |
| with open(annotation_file, 'w') as f: |
| json.dump({ |
| 'document': pdf_name, |
| 'annotations': annotations, |
| 'timestamp': datetime.now().isoformat(), |
| 'num_phi_items': len(annotations), |
| 'phi_categories': list(set(a['type'] for a in annotations)), |
| }, f, indent=2) |
|
|
| if (i + 1) % 50 == 0: |
| print(f" Generated {i + 1}/{args.num_documents} notes...") |
|
|
| print(f"\n✓ Generation complete!") |
| print(f"\nGenerated files:") |
| print(f" {len(list(output_dir.glob('*_note_*.pdf')))} clinical notes") |
| print(f" Progress notes with full HPI, ROS, PE, A&P") |
| print(f" SOAP notes with narrative documentation") |
| print("="*70) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
