A more complex script generated by gpt4-turbo (#4)
Browse files- A more complex script generated by gpt4-turbo (469bfd6d406ec9bc74dca6eec66968f52db1c026)
Co-authored-by: 葉佐俊 <win10@users.noreply.huggingface.co>
- mathrandom2.py +70 -0
mathrandom2.py
ADDED
@@ -0,0 +1,70 @@
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import random
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import json
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import operator
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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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def generate_random_number():
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return float("%.3f" % random.uniform(min_value, max_value))
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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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# 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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# 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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# 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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output = "%.4f" % result
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data.append({'instruction': expression, 'output': output})
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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)
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