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469bfd6
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A more complex script generated by gpt4-turbo

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  1. mathrandom2.py +70 -0
mathrandom2.py ADDED
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+ import random
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+ import json
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+ import operator
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+
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+ # Define the number of samples you want to generate
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+ num_samples = 500000
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+ # Define the range for the random numbers
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+ min_value = -99.99
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+ max_value = 99.99
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+ # Define the arithmetic operations and their corresponding functions
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+ operations = {
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+ '+': operator.add,
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+ '-': operator.sub,
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+ '*': operator.mul,
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+ '/': operator.truediv
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+ }
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+
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+ def generate_random_number():
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+ return float("%.3f" % random.uniform(min_value, max_value))
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+
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+ def safe_division(numerator, denominator):
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+ return numerator if denominator == 0 else numerator / denominator
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+
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+ # Generate complex data
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+ data = []
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+ for _ in range(num_samples):
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+ num1 = generate_random_number()
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+ num2 = generate_random_number()
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+ num3 = generate_random_number()
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+ # Ensure num2 and num3 are not zero if they will be used as divisors
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+ if num2 == 0.0:
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+ num2 = generate_random_number()
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+ if num3 == 0.0:
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+ num3 = generate_random_number()
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+
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+ # Randomly choose two operations
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+ operation1 = random.choice(list(operations.keys()))
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+ operation2 = random.choice(list(operations.keys()))
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+
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+ # Create a more complex expression
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+ if random.choice([True, False]):
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+ # With parentheses
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+ expression = f"({num1} {operation1} {num2}) {operation2} {num3}"
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+ if operation1 == '/':
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+ intermediate_result = safe_division(num1, num2)
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+ else:
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+ intermediate_result = operations[operation1](num1, num2)
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+ if operation2 == '/' and intermediate_result != 0:
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+ result = safe_division(intermediate_result, num3)
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+ else:
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+ result = operations[operation2](intermediate_result, num3)
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+ else:
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+ # Without parentheses
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+ expression = f"{num1} {operation1} {num2} {operation2} {num3}"
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+ if operation1 == '/':
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+ intermediate_result = safe_division(num1, num2)
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+ else:
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+ intermediate_result = operations[operation1](num1, num2)
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+ if operation2 == '/':
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+ result = safe_division(intermediate_result, num3)
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+ else:
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+ result = operations[operation2](intermediate_result, num3)
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+
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+ output = "%.4f" % result
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+ data.append({'instruction': expression, 'output': output})
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+
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+ # Create the dataset
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+ out_file = 'arithmetic-float-complex.json'
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+ with open(out_file, 'w') as f:
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+ json.dump(data, f)