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Browse files- .gitattributes +1 -0
- Rainbow Hugging Face.png +3 -0
- generate_csv.py +51 -0
- requirements.txt +1 -0
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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Rainbow[[:space:]]Hugging[[:space:]]Face.png filter=lfs diff=lfs merge=lfs -text
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Rainbow Hugging Face.png
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Git LFS Details
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generate_csv.py
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#!/usr/bin/env python3
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"""Generate a sample CSV file with 10,000 rows for Test 2"""
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import csv
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import random
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import datetime
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from faker import Faker
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fake = Faker()
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Faker.seed(42)
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random.seed(42)
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# Generate 10,000 rows
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rows = 10_000
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with open('sample_data.csv', 'w', newline='') as csvfile:
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fieldnames = ['id', 'timestamp', 'user_name', 'email', 'country', 'product', 'price', 'quantity', 'total']
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writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
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writer.writeheader()
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products = ['Widget A', 'Gadget B', 'Tool C', 'Device D', 'Component E']
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for i in range(1, rows + 1):
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timestamp = fake.date_time_between(start_date='-1y', end_date='now')
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user = fake.name()
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email = fake.email()
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country = fake.country()
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product = random.choice(products)
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price = round(random.uniform(10, 1000), 2)
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quantity = random.randint(1, 10)
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total = round(price * quantity, 2)
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writer.writerow({
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'id': i,
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'timestamp': timestamp.isoformat(),
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'user_name': user,
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'email': email,
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'country': country,
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'product': product,
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'price': price,
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'quantity': quantity,
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'total': total
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})
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print(f"✅ Generated sample_data.csv with {rows:,} rows")
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# Get file size
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import os
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file_size = os.path.getsize('sample_data.csv')
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print(f" File size: {file_size:,} bytes ({file_size / 1024 / 1024:.2f} MB)")
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requirements.txt
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gradio
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