license:apache-2.0 size_categories:1M<n<10M format:csv modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: apache-2.0
---
def basic(array1):
    x=(array1[0]-.5)
    y=(array1[1]-.5)
    z=(array1[2]-.5)
    t=(array1[3]-.5)
    r2=x*x+y*y+z*z+t*t
    return 3*np.sin(r2)+np.random.random()*array1[4]
f=np.apply_along_axis(basic, 1, a)