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| # Coding Missions S2 E2 | |
| # KPDH Rumi ACH Takedown | |
| # Coding modules that determine AML violations that require | |
| # a SAR (Suspicious Activity Report), CTR (Currency Transaction Report), | |
| # determine which cases are filed for SAR, and include the lookback | |
| # date of 120 days or oldest first transaction | |
| # for any AML investigation. | |
| # Suspect not ready for the takedown, | |
| # Filing them for a world of pain! |
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| # PDF generator script for the November 2025 Cyber Monday Shopping | |
| # Note: Subject to shipping and handling if ordered online. | |
| from fpdf import FPDF | |
| pdf = FPDF() | |
| pdf.add_page() | |
| pdf.set_font("Arial", "B", 8) | |
| pdf.cell(0, 10, "USB-C Hubs/Docks with Ethernet & Display Output", ln=True, align="C") | |
| pdf.ln(10) |
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| #Import necessary libraries | |
| import math | |
| import hashlib | |
| class CBFs: #Counting bloom filters class | |
| def __init__ (self, expected_inputS, false_positiveP): | |
| self.expected_inputS = expected_inputS #The expected input size (n) | |
| self.false_positiveP = false_positiveP #The desired false positive proability (p) |
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| # CS 440 Programming Assignment 3 | |
| # File: jasonlu6Player.py | |
| # Author: Jason Lu (jasonlu6@bu.edu) | |
| # This Python program is the main solution of the Atropos Game algorithm | |
| # Partner: Alex Moyse (azm@bu.edu) | |
| # TF: Wenxin Feng, Yi Zheng | |
| # Professor Margrit Betke, Artificial Intelligence 2018 | |
| # 4/12/2018 - 4/27/2018 | |
| import sys |