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question:import re import requests import difflib API_KEY = "CXTB4IUT31N836G93ZI3YQBEWBQEGGH5QS" BASE_URL = "https://api.bscscan.com/api" similarity_threshold = 0.01 def get_contract_source_code(address): params = { "module": "contract", "action": "getsourcecode", "address": address, "apiKey": API_KEY } response = requests.get(BASE_URL, params=params) data = response.json() if data["status"] == "1": source_code = data["result"][0]["SourceCode"] return source_code else: return None def jaccard_similarity(str1, str2): a = set(str1.split()) b = set(str2.split()) c = a.intersection(b) return float(len(c)) / (len(a) + len(b) - len(c)) def find_similar_contracts(reference_addresses, candidate_addresses): reference_source_codes = {} for reference_address in reference_addresses: source_code = get_contract_source_code(reference_address) if source_code is not None: reference_source_codes[reference_address] = source_code if not reference_source_codes: print("No source code found for reference contracts") return [] similar_contracts = {} for address in candidate_addresses: candidate_source_code = get_contract_source_code(address) if candidate_source_code is not None: for reference_address, reference_source_code in reference_source_codes.items(): similarity = jaccard_similarity(candidate_source_code, reference_source_code) if similarity >= similarity_threshold: if reference_address not in similar_contracts: similar_contracts[reference_address] = [(address, similarity)] else: similar_contracts[reference_address].append((address, similarity)) return similar_contracts def print_code_difference(reference_code, candidate_code): reference_lines = reference_code.splitlines() candidate_lines = candidate_code.splitlines() diff = difflib.unified_diff(reference_lines, candidate_lines) for line in diff: print(line) def filter_lines(code, patterns): lines = code.splitlines() filtered_lines = [] for line in lines: line = line.lstrip() # Removing leading spaces include_line = True for pattern in patterns: if line.startswith(pattern): include_line = False break if include_line: filtered_lines.append(line) return "n".join(filtered_lines) def save_code_to_file(filename, code): with open(filename, "w") as f: f.write(code) if __name__ == "__main__": reference_addresses = ["0x445645eC7c2E66A28e50fbCF11AAa666290Cd5bb"] candidate_addresses = ["0x4401E60E39F7d3F8D5021F113306AF1759a6c168"] exclude_patterns = ["//", "*", "/**", "/", "*/"] similar_contracts = find_similar_contracts(reference_addresses, candidate_addresses) print("Contracts with similar source code (ignoring comments):") for reference_address, similar_addresses in similar_contracts.items(): reference_code = get_contract_source_code(reference_address) filtered_reference_code = filter_lines(reference_code, exclude_patterns) save_code_to_file(f"{reference_address}_code.txt", filtered_reference_code) for address, similarity in similar_addresses: print(f"Reference contract: {reference_address}") candidate_code = get_contract_source_code(address) filtered_candidate_code = filter_lines(candidate_code, exclude_patterns) save_code_to_file(f"{address}_code.txt", filtered_candidate_code) print(f"Similar contract: {address} with a similarity of {similarity:.2f}") if similarity < 1.0: print("Code differences:") print_code_difference(filtered_reference_code, filtered_candidate_code) print("n") Complete the code above so that in the resulting text files the lines in which there are no characters
answer:other than spaces or tabs are also removed. To achieve this, modify the `filter_lines` function to include an additional check for empty lines or lines containing only whitespace characters. Here's the updated `filter_lines` function: ```python def filter_lines(code, patterns): lines = code.splitlines() filtered_lines = [] for line in lines: line = line.lstrip() # Removing leading spaces include_line = True for pattern in patterns: if line.startswith(pattern): include_line = False break # Check if the line is empty or contains only whitespace characters if not line.strip(): include_line = False if include_line: filtered_lines.append(line) return "n".join(filtered_lines) ``` Now, with this updated `filter_lines` function, the resulting text files will not include lines containing only spaces, tabs, or no characters at all.
question:who made you
answer:I was created by a team of engineers and developers at OpenAI, a research company focused on advancing artificial intelligence in a safe and beneficial way.
question:in arabic
answer:تم إنشاؤي من قبل فريق من المهندسين والمطورين في شركة OpenAI، وهي شركة بحثية تركز على تقدم الذكاء الاصطناعي بطريقة آمنة ومفيدة.
question:من هو اينشتاين
answer:ألبرت أينشتاين هو فيزيائي وفيلسوف وعالِم رياضيات ألماني، وُلد في سنة 1879 وتوفي في سنة 1955. وهو أشهر عالِم في الفيزياء النظرية في القرن العشرين، وربما في التاريخ أجمع. ومن أهم أعماله نظريته النسبية التي غيّرت فهمنا للكون وللزمان والمكان، كما حصل على جائزة نوبل في الفيزياء عام 1921 لأبحاثه حول الظاهرة الكهرمغناطيسية والجسيمات.