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thanks
python
from faker import Faker
from reportlab.pdfgen import canvas
fake = Faker()
c = canvas.Canvas("fake_invoice.pdf")
# Generate fake data
c.drawString(100, 750, f"Invoice #: {fake.random_number()}")
c.drawString(100, 730, f"Date: {fake.date()}")
c.drawString(100, 710, f"Customer: {fake.company()}")
c.save()
reportlab and faker)*Nice, thanks for posting.
from PIL import Image, ImageDraw, ImageFont
import random
# Create a blank "ID" image
img = Image.new('RGB', (856, 540), color=(0,0,0))
draw = ImageDraw.Draw(img)
# Add fake text (name, DOB, etc.)
font = ImageFont.truetype("arial.ttf", 24)
draw.text((50, 50), f"Name: {random_name}", fill=(255,255,255), font=font)
# Add barcode (using pybarcode)
from pybarcode import EAN13
EAN13('123456789012', bar_width=0.5, add_checksum=False).render("fake_barcode.png", img)
img.paste(Image.open("fake_barcode.png"), (50, 100))
img.save("fake_id.png")
<w:document>
<w:body>
<w:p>
<w:r>
<w:t>CONFIDENTIAL AGREEMENT</w:t>
<w:t xml:space="preserve">_______________________________</w:t>
</w:r>
</w:p>
<w:p>
<w:r>
<w:t>This Agreement is made between:</w:t>
</w:r>
</w:p>
<w:p>
<w:r>
<w:t>Company: [b]FakeCorp Inc.[/b]</w:t>
</w:r>
</w:p>
</w:body>
</w:document>
<PatientRecord>
<PatientID>PT-12345</PatientID>
<Name>John Doe</Name>
<Test>Blood Test</Test>
<Result>
<Hemoglobin>14.2 g/dL</Hemoglobin>
<Glucose>98 mg/dL</Glucose>
</Result>
<DoctorSignature>Dr. Smith</DoctorSignature>
</PatientRecord>
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good
P).Ctrl+I), and place it over a white background.Layer Style > Drop Shadow) to sell it.Insert > Watermark).Faker library to populate random but plausible transactions:python
from faker import Faker
fake = Faker()
transactions = [
{"date": fake.date_this_year(), "desc": "AMAZON.COM", "amount": fake.pyfloat(50, 500, 2)},
{"date": fake.date_this_year(), "desc": "NETFLIX", "amount": fake.pyfloat(10, 30, 2)},
{"date": fake.date_this_year(), "desc": "BANK CHARGE", "amount": fake.pyfloat(1, 5, 2)}
]
Filter > Distort > Wave).pyhealth librarypython
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://real-emr.example.com")
element = driver.find_element_by_css_selector("body")
print(element.get_attribute("outerHTML")) # Save this as a template
json
{
"patient": {
"id": "12345",
"name": "Jane Doe",
"dob": "1985-05-15",
"conditions": ["Hypertension", "Type 2 Diabetes"],
"medications": ["Lisinopril 10mg", "Metformin 500mg"]
}
}
python
from transformers import pipeline
generator = pipeline("text-generation", model="gpt2")
fake_note = generator("Patient presents with chest pain. Possible causes: ", max_length=100)
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