A more complex script generated by gpt4-turbo

mathrandom2.py

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