Upload generate.py
Browse files- generate.py +118 -0
generate.py
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import random
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import math
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import csv
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# Define the operations and functions
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operations = ['+', '-', '*', '/']
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functions = ['sqrt', 'log10', 'log2', 'ln', 'exp',
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'sin', 'cos', 'tan', 'asin', 'acos', 'atan']
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# Function to generate a random number (integer or float, positive or negative) with logarithmic distribution
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def generate_number():
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sign = random.choice([-1, 1])
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# Generates a number in the range 0.0001 to 1000000000 with 4 decimal places
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number = round(math.exp(random.uniform(
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math.log(0.0001), math.log(1000000000))), 4)
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number *= sign
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if random.random() < 0.5:
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return int(number) # Randomly convert to integer
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return number
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# Function to generate an expression with varying depth and parentheses
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def generate_expression(depth=0, max_depth=2):
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if depth > max_depth: # Control the depth of the recursion
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return str(generate_number())
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if random.random() < 0.3: # Randomly decide whether to add a math function
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func = random.choice(functions)
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return f"{func}({generate_expression(depth + 1, max_depth)})"
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if random.random() < 0.5: # Randomly decide whether to add parentheses
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return f"({generate_expression(depth + 1, max_depth)} {random.choice(operations)} {generate_expression(depth + 1, max_depth)})"
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else:
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return f"{generate_expression(depth + 1, max_depth)} {random.choice(operations)} {generate_expression(depth + 1, max_depth)}"
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# Function to validate an expression
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def is_valid_expression(expr):
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try:
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eval(expr, {"sqrt": math.sqrt, "log10": math.log10, "log2": math.log2, "ln": math.log,
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"exp": math.exp, "sin": math.sin, "cos": math.cos, "tan": math.tan,
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"asin": math.asin, "acos": math.acos, "atan": math.atan})
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return True
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except:
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return False
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# Function to evaluate an expression and return the result
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def evaluate_expression(expr):
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try:
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result = eval(expr, {"sqrt": math.sqrt, "log10": math.log10, "log2": math.log2, "ln": math.log,
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"exp": math.exp, "sin": math.sin, "cos": math.cos, "tan": math.tan,
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"asin": math.asin, "acos": math.acos, "atan": math.atan})
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return result
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except:
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return "INVALID"
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# Function to generate multiple valid expressions
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def generate_valid_expressions(count, max_depth):
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expressions = []
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while len(expressions) < count:
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expr = generate_expression(depth=0, max_depth=max_depth)
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if is_valid_expression(expr):
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result = evaluate_expression(expr)
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expressions.append((expr, result))
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return expressions
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# Function to generate multiple invalid expressions
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def generate_invalid_expressions(count, max_depth):
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expressions = []
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while len(expressions) < count:
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invalid_expr = f"{generate_expression(depth=0, max_depth=max_depth)} {random.choice(
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operations)} {random.choice(functions)}({generate_expression(depth=0, max_depth=max_depth)})"
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if not is_valid_expression(invalid_expr):
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expressions.append((invalid_expr, "INVALID"))
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return expressions
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# Function to generate multiple expressions with a mix of valid and invalid
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def generate_mixed_expressions(count, max_depth):
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valid_count = int(count * 0.95)
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invalid_count = count - valid_count
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valid_expressions = generate_valid_expressions(valid_count, max_depth)
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invalid_expressions = generate_invalid_expressions(
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invalid_count, max_depth)
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all_expressions = valid_expressions + invalid_expressions
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random.shuffle(all_expressions) # Shuffle the list of expressions
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return all_expressions
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# Generate 1,000,000 expressions (you can change this number to any count you need)
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expression_count = 1_000_000
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max_depth = 3 # Adjust the max depth as needed
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expressions = generate_mixed_expressions(expression_count, max_depth)
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# Save the expressions to a CSV file
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with open('data.csv', 'w', newline='') as file:
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writer = csv.writer(file)
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writer.writerow(['expression', 'result']) # Write the header
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for expression, result in expressions:
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writer.writerow([expression, result])
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print(f"Generated {
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expression_count} math expressions and saved to 'data.csv'")
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