Tue Oct 19 11:24:28 2021

besselj_test():
  Python version: 3.6.9
  Test besselj().

bessel_jx_values_test():
  Python version: 3.6.9
  bessel_jx_values() stores values of the Bessel J function. of real order NU.

      NU          X           J(NU,X)

      0.500000      0.200000        0.3544507442114011
      0.500000      1.000000        0.6713967071418031
      0.500000      2.000000        0.5130161365618278
      0.500000      2.500000        0.3020049060623657
      0.500000      3.000000       0.06500818287737578
      0.500000      5.000000       -0.3421679847981618
      0.500000     10.000000       -0.1372637357550505
      0.500000     20.000000        0.1628807638550299
      1.500000      1.000000         0.240297839123427
      1.500000      2.000000        0.4912937786871623
      1.500000      5.000000       -0.1696513061447408
      1.500000     10.000000        0.1979824927558931
      1.500000     50.000000        -0.109476872988318
      2.500000      1.000000       0.04949681022847794
      2.500000      2.000000        0.2239245314689158
      2.500000      5.000000        0.2403772011113174
      2.500000     10.000000        0.1966584835818184
      2.500000     50.000000       0.02303721950962553
      1.250000      1.000000        0.3314145508558904
      1.250000      2.000000         0.546173424040284
      1.250000      5.000000       -0.2616584152094124
      1.250000     10.000000        0.1296035513791289
      1.250000     50.000000       -0.1117432171933552
      2.750000      1.000000       0.03142623570527935
      2.750000      2.000000        0.1717922192746527
      2.750000      5.000000        0.3126634069544786
      2.750000     10.000000        0.1340289119304364
      2.750000     50.000000       0.06235967135106445

bessel_jx_values_test():
  Normal end of execution.

scipy_jv_test():
  Python version: 3.6.9
  scipy.special.jv(nu,x) evaluates the Bessel J function. of real order NU.

      NU          X           jv(nu,x)        Tabulated

      0.500000      0.200000        0.3544507442114015        0.3544507442114011
      0.500000      1.000000        0.6713967071418039        0.6713967071418031
      0.500000      2.000000        0.5130161365618283        0.5130161365618278
      0.500000      2.500000        0.3020049060623656        0.3020049060623657
      0.500000      3.000000       0.06500818287737586       0.06500818287737578
      0.500000      5.000000       -0.3421679847981631       -0.3421679847981618
      0.500000     10.000000       -0.1372637357550499       -0.1372637357550505
      0.500000     20.000000        0.1628807638550313        0.1628807638550299
      1.500000      1.000000        0.2402978391234273         0.240297839123427
      1.500000      2.000000        0.4912937786871627        0.4912937786871623
      1.500000      5.000000       -0.1696513061447415       -0.1696513061447408
      1.500000     10.000000        0.1979824927558924        0.1979824927558931
      1.500000     50.000000        -0.109476872988318        -0.109476872988318
      2.500000      1.000000       0.04949681022847799       0.04949681022847794
      2.500000      2.000000         0.223924531468916        0.2239245314689158
      2.500000      5.000000        0.2403772011113182        0.2403772011113174
      2.500000     10.000000        0.1966584835818176        0.1966584835818184
      2.500000     50.000000       0.02303721950962554       0.02303721950962553
      1.250000      1.000000        0.3314145508558907        0.3314145508558904
      1.250000      2.000000        0.5461734240402843         0.546173424040284
      1.250000      5.000000       -0.2616584152094147       -0.2616584152094124
      1.250000     10.000000        0.1296035513791252        0.1296035513791289
      1.250000     50.000000       -0.1117432171933552       -0.1117432171933552
      2.750000      1.000000       0.03142623570527936       0.03142623570527935
      2.750000      2.000000        0.1717922192746527        0.1717922192746527
      2.750000      5.000000        0.3126634069544798        0.3126634069544786
      2.750000     10.000000        0.1340289119304351        0.1340289119304364
      2.750000     50.000000       0.06235967135106445       0.06235967135106445

scipy_jv_test():
  Normal end of execution.

besselj_test():
  Normal end of execution.
Tue Oct 19 11:24:28 2021