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import numpy as np
import sympy
def generate(data):
# Create a variable
x = sympy.symbols("x")
# Randomize the degree
degree = np.random.random_integers(1, 5)
# Randomize the coefficients (make sure the leading coefficient is non-zero)
coeffs = np.random.random_integers(-9, 9, degree + 1)
if coeffs[0] == 0:
coeffs[0] = 1
# Create the polynomial
f = sympy.Poly(coeffs, x).as_expr()
# Find derivative with respect to x
df = sympy.diff(f, x)
# Modify data and return
data["params"]["x"] = sympy.latex(x)
data["params"]["f"] = sympy.latex(f)
data["correct_answers"]["df"] = str(df)
if __name__ == "__main__":
generate({"params": {}, "correct_answers": {}})