import numpy as np

logprobs_1 = np.array([
    -0.13309252262115479, -0.08196669071912766, -0.00731302984058857,
    -0.018770331516861916, -0.02480202354490757, -0.00014423283573705703,
    -0.042519960552453995, -0.0190336462110281, -0.11823561042547226,
    -0.051496025174856186, -0.0029785337392240763, -0.0808056890964508,
    -0.33003905415534973, -0.016798585653305054, -0.03529466316103935,
    -0.0021007629111409187, -0.15580753982067108, -0.002179034985601902,
    -0.0022494508884847164, -0.017301112413406372, -0.028195271268486977,
    -0.004367456305772066, -0.004129336215555668, -0.00812652800232172,
    -0.01322639174759388, -0.4532623887062073, -0.05896913260221481,
    -0.015254967845976353, -0.0002047805901383981, -0.07973029464483261,
    -0.009050771594047546, -0.0008920027757994831, -0.003724900772795081,
    -0.024257060140371323, -0.03248818591237068, -0.056766025722026825,
    -0.0011604249011725187, -0.0001736728590913117, -0.002415122464299202,
    -0.021963220089673996, -0.0010249129263684154, -0.06032927706837654,
    -0.0007666985620744526, -0.003093697363510728, -0.0011801904765889049,
    -0.01496575865894556
])

logprobs_2 = np.array([
    -0.1329359710211548, -0.08299195766448975, -0.007307467982172966,
    -0.018774425610899925, -0.024925051257014275, -0.00014530555927194655,
    -0.04304695874452591, -0.018735699355602264, -0.11716093868017197,
    -0.05228014662861824, -0.002978414995595813, -0.08092431724071503,
    -0.32985153794288635, -0.016861414536833763, -0.0352136455476284,
    -0.0020737587474286556, -0.15646468102931976, -0.00218593399040401,
    -0.0022474287543445826, -0.017639895901083946, -0.02812526933848858,
    -0.004360456305772066, -0.004184419754892588, -0.008132558315992355,
    -0.013352379202842712, -0.4424692392349243, -0.0590624064207077,
    -0.015369313769042492, -0.00020454222976695746, -0.0797300711274147,
    -0.009092000313103199, -0.0008904544520191848, -0.0037233568727970123,
    -0.024085894227027893, -0.03258546069264412, -0.05590718612074852,
    -0.0011379203060641885, -0.00017343449871987104, -0.0023765910882502794,
    -0.02211015112698078, -0.0010122896637767553, -0.060326918959617615,
    -0.000770391256082803, -0.003151928074657917, -0.0011779282940551639,
    -0.015233483165502548
])

print(np.mean(np.abs(logprobs_1 - logprobs_2)))