Name	Size	Mode	Actions
astype_copy.pkl	716	0644	editdlrm
recarray_from_file.fits	8640	0644	editdlrm
umath-validation-set-cos	23233	0644	editdlrm
umath-validation-set-exp	17491	0644	editdlrm
umath-validation-set-log	4088	0644	editdlrm
umath-validation-set-README	959	0644	editdlrm
umath-validation-set-sin	23045	0644	editdlrm

Steps to validate transcendental functions: 1) Add a file 'umath-validation-set-', where ufuncname is name of the function in NumPy you want to validate 2) The file should contain 4 columns: dtype,input,expected output,ulperror a. dtype: one of np.float16, np.float32, np.float64 b. input: floating point input to ufunc in hex. Example: 0x414570a4 represents 12.340000152587890625 c. expected output: floating point output for the corresponding input in hex. This should be computed using a high(er) precision library and then rounded to same format as the input. d. ulperror: expected maximum ulp error of the function. This should be same across all rows of the same dtype. Otherwise, the function is tested for the maximum ulp error among all entries of that dtype. 3) Add file umath-validation-set- to the test file test_umath_accuracy.py which will then validate your ufunc.