機械学習基盤の本番運用とその取り組み / ML platform in production

Transcript

1. ػցֶशج൫ͷຊ൪ӡ༻ͱ
   ͦͷऔΓ૊Έ
   1SFTFOUFECZ,PIFJ0UB !JOEVDUPS
   
   +VMZ5FDI'FTUB
   

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2. ࣗݾ঺հ
   w ଠాߤฏ !@JOEVDUPS@ !JOEVDUPS
   
   w %PDLFS.FFUVQ5PLZP0SHBOJ[FS
   w *OGSBTUSVDUVSF&OHJOFFS .-0QT5FBN!;0;05FDIOPMPHJFT *OD
   

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3. ;0;0508/ͷը૾ݕࡧػೳʹΈΔ
   ,VCFSOFUFTΛ࢖ͬͨػցֶशج൫ӡ༻ͷཪଆ
   $MPVE/BUJWF%BZT,BOTBJ
   
   $PQZSJHIU˜;0;05FDIOPMPHJFT *OD
   גࣜձࣾ;0;0ςΫϊϩδʔζ
   ։ൃ෦ .-0QTνʔϜ
   ଠా ߤฏ
   

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4. ;0;0508/ͷը૾ݕࡧػೳʹΈΔ
   ,VCFSOFUFTΛ࢖ͬͨػցֶशج൫ӡ༻ͷཪଆ
   $MPVE/BUJWF%BZT,BOTBJ
   
   $PQZSJHIU˜;0;05FDIOPMPHJFT *OD
   גࣜձࣾ;0;0ςΫϊϩδʔζ
   ։ൃ෦ .-0QTνʔϜ
   ଠా ߤฏ
   ৄ͘͠͸4QFBLFSEFDLͷεϥΠυͰʂ
   

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5. ࠓ೔ͷλʔήοτ
   w Πϯϑϥ%FW0QT43&తͳ͜ͱΛ΍͍ͬͯΔਓ
   w ػցֶशʹ͍ͭͯ͋·Γྑ͘෼͔͍ͬͯͳ͍ਓ ׬શʹཧղ͍ͯ͠Δਓ
   
   w ಥવৼΒΕΔṖͷλεΫʹରԠͰ͖Δ͔Θ͔Βͳ͍ਓ
   

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6. ͋Δ೔͜Μͳ͜ͱΛݴΘΕΔͱ
   ߟ͑ͯΈ͍ͯͩ͘͞
   

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7. ܦӦऀʮ͜Ε͔Β͸"*ͩʂʂʯ
   

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8. "*ʁػցֶशʁͲ͏ҧ͏ͷʁ
   

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9. ػցֶशͬͯͳʹʁʁ
   

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10. ػցֶशʁʁ
    w σʔλΛೖྗɺ͋Δ΂͖݁ՌΛग़ྗͱͯ͠
    w ෳ਺ͷσʔλ͔Βڞ௨ͷϧʔϧ΍ಛ௃ɺ൑அج४Λநग़
    w ໌ࣔతʹϓϩάϥϜϩδοΫΛॻ͔ͣʹ݁ՌΛग़ͨ͢Ίͷ࢓૊Έ
    

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11. ػցֶशʁʁ
    w σʔλΛೖྗɺ͋Δ΂͖݁ՌΛग़ྗͱͯ͠
    w ෳ਺ͷσʔλ͔Βڞ௨ͷϧʔϧ΍ಛ௃ɺ൑அج४Λநग़
    w ໌ࣔతʹϓϩάϥϜϩδοΫΛॻ͔ͣʹ݁ՌΛग़ͨ͢Ίͷ࢓૊Έ
    ϩδοΫͷந৅Խ
    

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12. ͳͥػցֶश͕ٻΊΒΕΔͷ͔
    w ϞόΠϧ΍Πϯλʔωοτ͕ීٴ͖ͬͨ͠ࠓɺ෺ࣄͷঢ়گ͸ٸܹʹมΘΔ
    w ͦͷมԽΛϓϩάϥϜͰද͢ͷ͸େม
    w *G΍GPSͰઃఆͨ͠ύϥϝʔλʔΛॻ͖׵͑Δ͚ͩͷվमΛՃ͑Δͷ͸

    ೉͍͠͠ɺޮՌଌఆ΋େมʢ͍ΘΏΔzਓ޻ແೳzͱ͍͏ݺ͹ΕΔ΍ͭʣ
    w ͜Ε·Ͱͷ܏޲͔Β࣍ͷ݁ՌΛ༧ଌ͢Δࣄ͕Ͱ͖Δശ͕͋Ε͹

    ຊ࣭తʹ͸αʔϏεͷϩδοΫ͸໰୊Ͱ͸ͳ͍͸ͣ
    

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13. ͳͥػցֶश͕ٻΊΒΕΔͷ͔
    w ϞόΠϧ΍Πϯλʔωοτ͕ීٴ͖ͬͨ͠ࠓɺ෺ࣄͷঢ়گ͸ٸܹʹมΘΔ
    w ͦͷมԽΛϓϩάϥϜͰද͢ͷ͸େม
    w *G΍GPSͰઃఆͨ͠ύϥϝʔλʔΛॻ͖׵͑Δ͚ͩͷվमΛՃ͑Δͷ͸

    ೉͍͠͠ɺޮՌଌఆ΋େมʢ͍ΘΏΔzਓ޻ແೳzͱ͍͏ݺ͹ΕΔ΍ͭʣ
    w ͜Ε·Ͱͷ܏޲͔Β࣍ͷ݁ՌΛ༧ଌ͢Δࣄ͕Ͱ͖Δശ͕͋Ε͹

    ຊ࣭తʹ͸αʔϏεͷϩδοΫ͸໰୊Ͱ͸ͳ͍͸ͣ
    ػցֶशʹΑͬͯಘΒΕͨϞσϧ ϒϥοΫϘοΫε
    Λ
    ೖΕସ͑Δ͚ͩͰΞϓϦέʔγϣϯ͕ੈͷதͷ

    χʔζʹରԠͰ͖ΔͷͰ͸ͳ͍͔ʂͱ͍͏ൃ૝
    

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14. ػցֶशͷԠ༻ྫ
    w ݕࡧΤϯδϯͷϦίϝϯσʔγϣϯ
    w ؞΍޻৔ʹ͓͚Δෆྑ඼ͳͲͷҟৗݕ஌
    w Ի੠ೝࣝɺը૾ೝࣝ
    w גՁ༧ଌ
    

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15. ػցֶशͷԠ༻ྫ
    w ݕࡧΤϯδϯͷϦίϝϯσʔγϣϯ
    w ؞΍޻৔ʹ͓͚Δෆྑ඼ͳͲͷҟৗݕ஌
    w Ի੠ೝࣝɺը૾ೝࣝ
    w גՁ༧ଌ
    ϦΞϧλΠϜͰมԽ͢Δ΋ͷ΍

    ਓؒͷखΛհ͢Δͱେมͳ΋ͷʹରͯ͠ಛʹ༗ޮ
    

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16. ػցֶशͷར༻Πϝʔδ
    

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17. ػցֶशͷར༻Πϝʔδ
    Ϟσϧ
    

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18. ػցֶशͷར༻Πϝʔδ
    ֶश
    ਪ࿦
    ਪ࿦Ϟσϧ
    

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19. ֶशͱਪ࿦
    w ֶश
    w σʔλΛҰఆͷنଇ ΞϧΰϦζϜ
    ʹैͬͯϞσϧʹม׵
    w σʔλιʔε͕ॏཁͳͷͰɺ೔ʑೖΕସΘΔ΋ͷ͸ఆৗతʹֶश͢Δ
    w ਪ࿦
    w ϞσϧΛ࢖ͬͯɺ͋Δσʔλ͕Ͳͷύλʔϯʹ࠷΋͍͔ۙΛ൑அ͢Δ
    w ਪ࿦ʹ࢖͏Ϟσϧͷσʔλ઱౓͕ॏཁ
    

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20. ֶशͱਪ࿦
    w ֶश
    w σʔλΛҰఆͷنଇ ΞϧΰϦζϜ
    ʹैͬͯϞσϧʹม׵
    w σʔλιʔε͕ॏཁͳͷͰɺ೔ʑೖΕସΘΔ΋ͷ͸ఆৗతʹֶश͢Δ
    w ਪ࿦
    w ϞσϧΛ࢖ͬͯɺ͋Δσʔλ͕Ͳͷύλʔϯʹ࠷΋͍͔ۙΛ൑அ͢Δ
    w ਪ࿦ʹ࢖͏Ϟσϧͷσʔλ઱౓͕ॏཁ
    8FCʹ͸ͳ͍ػցֶशج൫ͷϙΠϯτ

    

    Ϟσϧ͕ػցֶशʹ͓͚Δ಄೴ ϒϥοΫϘοΫε
    
    ϞσϧͷೖΕସ͑ͱɺֶशස౓ͳͲͷఆ͕ٛॏཁ
    

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21. Πϯϑϥج൫ͷ࿩
    

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22. ྫ͑͹͜ΜͳΞϓϦ͕͋ͬͨͱͯ͠
    8FC "QQ %#
    

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23. ΞϓϦʹػցֶशΛ࢖ͬͨ

    ػೳΛ૿΍͢͜ͱΛߟ͑ͯΈΔ
    

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24. Πϝʔδ͸͜͏
    8FC "QQ %#
    ਪ࿦Ϟσϧ
    ਪ࿦"1*ͷ

    αʔϏϯά
    

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25. Πϝʔδ͸͜͏
    8FC "QQ %#
    ਪ࿦Ϟσϧ
    ਪ࿦"1*ͷ

    αʔϏϯά
    ͜ΕͰ΋ಈ͘ʹ͸ಈ͚͘Ͳɾɾɾ
    

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26. Πϝʔδ͸͜͏
    8FC "QQ %#
    ਪ࿦Ϟσϧ
    ਪ࿦"1*ͷ

    αʔϏϯά
    Ϟσϧͷߋ৽Ͳ͏͢Δͷʁ

    ΞϓϦͷߋ৽ͱύΠϓϥΠϯ෼͚Δͷʁ
    Πϯϑϥઃܭ͸୭͕͢Δͷʁ
    

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27. ػցֶशʹؔΘΔਓͨͪ ౰ࣾൺ
    
    w ϦαʔνϟʔˠΞϧΰϦζϜͱϞσϧධՁΛ୲౰
    w .-ΤϯδχΞ
    

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28. ػցֶशʹؔΘΔਓͨͪ ౰ࣾൺ
    
    w Ϧαʔνϟʔ
    w .-ΤϯδχΞˠϞσϧΛ࢖ͬͨ"1*΍ΞϓϦͷϓϩτλΠϐϯάͳͲ
    

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29. ػցֶशʹؔΘΔਓͨͪ ౰ࣾൺ
    
    w Ϧαʔνϟʔ
    w .-ΤϯδχΞˠϞσϧΛ࢖ͬͨ"1*΍ΞϓϦͷϓϩτλΠϐϯάͳͲ
    ࣗಈԽ͸Ͳͬͪͷ࢓ࣄʁ
    Πϯϑϥઃܭ͸ͩΕ͕΍Δʁ
    ύϑΥʔϚϯενϡʔχϯά͸ʁ
    

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30. Two Big Problems
    Data
    Scientist
    Machine
    Learning
    Engineer
    vs
    

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31. Ϟσϧ࡞੒ͱαʔϏϯάͷ

    ֞ࠜΛແͯ͘͠

    ࣮ӡ༻ʹ଱͑͏Δج൫Λ࡞Γ͍ͨ
    

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32. %FWY0QT
    

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33. .-Y0QT
    

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34. .-0QTνʔϜͷϛογϣϯ ౰ࣾൺ
    
    w .-ΤϯδχΞ΍ݚڀऀ͕ػցֶशϞσϧͷ։ൃʹूதͰ͖Δ؀ڥΛఏڙ͢Δ
    w ϓϩτλΠϓΛϓϩμΫγϣϯϨϕϧʹҾ্͖͛Δ
    ˠݚڀऀɺ.-ΤϯδχΞ͕ͨͪ࡞ͬͨ΋ͷΛ࣮ࡍʹαʔϏεΠϯ͠ӡ༻·Ͱߦ͏
    

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35. .-0QTͰิ͑Δ͜ͱ
    w ݚڀऀ͸ιϑτ΢ΣΞΤϯδχΞϦϯάͷ஌ݟ͕ͳ͍
    w +VQZUFS/PUFCPPL͚ͩ͋Ε͹͍͍ɻ%PDLFS΍Πϯϑϥ͸஌Βͳ͍͜ͱ΋ଟ͍
    w .-ΤϯδχΞ͸ϓϩτλΠϐϯά͕ಘҙͰ΋ܧଓతͳΞϓϦέʔγϣϯͷվળ΍
    ࣗಈԽͷλεΫ͸ઐ໳֎ͳ͜ͱ΋ଟ͍
    w $*$%ઃܭɺֶशϫʔΫϑϩʔͷ࠷దԽͳͲ͸༏ઌ౓͕௿͍
    

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36. .-0QTͰิ͑Δ͜ͱ
    w %FW0QTͰഓͬͨϊ΢ϋ΢Λػցֶशʹ΋ద༻͍ͯ͘͠
    w (16$16Λ࢖ͬͨϫʔΫϑϩʔ΍ΠϯϑϥઃܭͳͲ͸ɺͦ΋ͦ΋Πϯϑϥͷ
    ஌͕ࣝཁٻ͞ΕΔ෼໺
    w ຊ൪ʹ޲͚ͨΞϓϦέʔγϣϯͷվળ
    w ίϯςφԽɺϘτϧωοΫͷվળͳͲ
    

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37. ࣮ྫΛோΊͯΈΔ
    

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38. ˜;0;05FDIOPMPHJFT *OD
    
    ΞʔΩςΫνϟશମ
    $MPVE-PBE
    #BMBODJOH
    $MPVE"SNPS
    ,VCFSOFUFT
    &OHJOF
    $MPVE
    4UPSBHF
    $POUBJOFS
    3FHJTUSZ
    $MPVE
    .FNPSZTUPSF
    %FWFMPQFS
    ը૾ετϨʔδ
    ϞσϧετϨʔδ
    ίϯςφΠϝʔδ
    Ωϟογϡ
    $MPVE
    $PNQPTFS
    ֶश
    ,VCFSOFUFT
    &OHJOF
    "//JOEFY
    Ϟσϧ
    6TFS
    ֶश
    ਪ࿦
    (16
    $MPVE
    'JMFTUPSF
    

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40. .-0QTͷ୲౰ྖҬ ౰ࣾൺ
    
    w Πϯϑϥͷߏ੒؅ཧ $*$%ύΠϓϥΠϯؚΉ
    
    w ΞϓϦέʔγϣϯͷ$*$%΍ίϯςφԽɺνϡʔχϯά
    w ֶशϫʔΫϑϩʔͷվળ΍ӡ༻
    

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41. શ෦Ͱ͖ͳ͍ͱ͍͚ͳ͍ͷ͔ʁ
    

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42. :FTBOEOP
    

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43. νʔϜͷଟ༷ੑ
    w 43&ʹ͓͍ͯඞཁͱ͞ΕΔνʔϜͷଟ༷ੑ͸.-0QTͰ΋ॏཁ
    w ۀ຿΍ϓϩμΫτɺج൫ʹ͓͍ͯ࢖ΘΕΔٕज़͸શͯแׅతʹཧղ͢Δ
    ͜ͱ͕ॏཁͳͷ͸ݴ͏·Ͱ΋ͳ͍
    w ಘҙྖҬ͕ҧ͏ΤϯδχΞ͕ෳ਺͍Δ͜ͱʹΑͬͯνʔϜͱͯ͠

    ΑΓେ͖ͳൣғΛΧόʔͰ͖Δ
    w ҧ͏ࢹ఺ͷΤϯδχΞ͕͏·͘ಈ͍͍ͯ͘ʹ͸ɺݸʑͷνʔϜΛҙࣝͨ͠
    ಈ͖΍༏लͳϦʔμʔͷଘࡏ΋ॏཁ
    

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44. νʔϜͷଟ༷ੑ
    w 43&ʹ͓͍ͯඞཁͱ͞ΕΔνʔϜͷଟ༷ੑ͸.-0QTͰ΋ॏཁ
    w ۀ຿΍ϓϩμΫτɺج൫ʹ͓͍ͯ࢖ΘΕΔٕज़͸શͯแׅతʹཧղ͢Δ
    ͜ͱ͕ॏཁͳͷ͸ݴ͏·Ͱ΋ͳ͍
    w ಘҙྖҬ͕ҧ͏ΤϯδχΞ͕ෳ਺͍Δ͜ͱʹΑͬͯνʔϜͱͯ͠

    ΑΓେ͖ͳൣғΛΧόʔͰ͖Δ
    w ҧ͏ࢹ఺ͷΤϯδχΞ͕͏·͘ಈ͍͍ͯ͘ʹ͸ɺݸʑͷνʔϜΛҙࣝͨ͠
    ಈ͖΍༏लͳϦʔμʔͷଘࡏ΋ॏཁ
    ɾνʔϜͷ౷཰
    ɾνʔϜͷଟ༷ੑ
    ͜ΕΒཁૉͷཱ͕྆ॏཁ
    

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45. ΋͏গ࣮͠ࡍͷऔ૊Έʹ͍ͭͯ
    ۷ΓԼ͛ͯΈ·͠ΐ͏
    

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46. .-0QTͷ୲౰ྖҬ ౰ࣾൺ
    
    w Πϯϑϥͷߏ੒؅ཧ $*$%ύΠϓϥΠϯؚΉ
    
    w ΞϓϦέʔγϣϯͷ$*$%΍ίϯςφԽɺνϡʔχϯά
    w ֶशϫʔΫϑϩʔͷվળ΍ӡ༻
    8FC։ൃͱڞ௨෦෼͕େ͖͍λεΫ
    ػցֶशʹݻ༗ͷ෦෼͕େ͖͍λεΫ
    

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47. ΞϓϦͷνϡʔχϯά
    w ϏδωεϩδοΫΛม͑ͳ͍ൣғͰਪ࿦"1*ͷ଎౓Λ্͛Δ
    w "1.΍֎ܗ؂ࢹͳͲΛ͔ͭͬͯఆৗ؂ࢹ͠ɺϘτϧωοΫΛݟ͚ͭΔ
    w ϞσϧͰѻ͏ϕΫτϧͷύϥϝʔλʔ΍σʔλͷྔʹΑͬͯɺ$16
    (16ͲͪΒΛ࢖͏΂͖͔͕ܾ·Δ ෛՙࢼݧͳͲͰݕূ΋͢Δ
    
    w (16͸ศར͕ͩɺίϯςΩετεΠονʹऑ͍ͷͰΞϓϦέʔγϣϯͰ
    ͸ۃྗ࢖͍ͨ͘ͳ͍
    

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48. ΞϓϦͷνϡʔχϯά
    w ϏδωεϩδοΫΛม͑ͳ͍ൣғͰਪ࿦"1*ͷ଎౓Λ্͛Δ
    w "1.΍֎ܗ؂ࢹͳͲΛ͔ͭͬͯఆৗ؂ࢹ͠ɺϘτϧωοΫΛݟ͚ͭΔ
    w ϞσϧͰѻ͏ϕΫτϧͷύϥϝʔλʔ΍σʔλͷྔʹΑͬͯɺ$16
    (16ͲͪΒΛ࢖͏΂͖͔͕ܾ·Δ ෛՙࢼݧͳͲͰݕূ΋͢Δ
    
    w (16͸ศར͕ͩɺίϯςΩετεΠονʹऑ͍ͷͰΞϓϦέʔγϣϯͰ
    ͸ۃྗ࢖͍ͨ͘ͳ͍
    *46$0/͸๻ͨͪʹେ੾ͳ͜ͱΛڭ͑ͯ͘Εͨ
    

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49. ֶशϫʔΫϑϩʔͷӡ༻ͱվળ
    w ݚڀऀ΍.-ΤϯδχΞ͕ϞσϧΛ࡞੒͞ΕΔҰ࿈ͷྲྀΕΛ

    ϑϩʔʹམͱ͠ࠐΈɺࣗಈԽ͢Δ
    w ຖ೔ɺຖ࣌ؒ৘ใ͕มΘΔΑ͏ͳσʔλʹରͯ͠ܧଓͯ͠Ձ஋Λ

    ఏڙ͢ΔͨΊʹ͸ඞཁෆՄܽ
    w ฒྻ࣮ߦੑ͕Ͳ͜·ͰߴΊΒΕΔ͔
    w ΞϧΰϦζϜ΍ɺ࢖͍ͬͯΔख๏ʹର͢Δཧղ͕ॏཁ
    

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50. ˜;0;05FDIOPMPHJFT *OD
    
    ը૾ݕࡧʹ࢖ΘΕΔҰൠతͳΞϧΰϦζϜ
    ෺ମݕग़ΞϧΰϦζϜ
    ● ը૾͔Β෺ମͷݕग़ͱΫϥε෼ྨΛ͢Δ
    ಛ௃ྔநग़ΞϧΰϦζϜ
    ● ը૾͔Βଟ࣍ݩϕΫτϧͷಛ௃ྔΛநग़͢Δ
    ۙࣅ࠶࠷ۙ๣୳ࡧ "//
    
    ● ߴ଎ʹଟ࣍ݩͷϕΫτϧΛ୳ࡧ͢Δ
    IUUQTHJUIVCDPNTQPUJGZBOOPZ
    $// 'FBUVSF
    

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51. .-ϓϩμΫγϣϯ·ͰͷྲྀΕ
    ਪ࿦Ϟσϧ࡞ͬͨΑ
    ϞσϧσϓϩΠͯ͠

    ਪ࿦"1*࡞ΔΑʂ
    

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52. .-ϓϩμΫγϣϯ·ͰͷྲྀΕ
    ਪ࿦Ϟσϧ࡞ͬͨΑ
    ϞσϧσϓϩΠͯ͠

    ਪ࿦"1*࡞ΔΑʂ
    ϫʔΫϑϩʔͰ

    ਪ࿦Ϟσϧͷੜ੒ΛࣗಈԽ
    ΞϓϦέʔγϣϯͷ

    $*$%ύΠϓϥΠϯ
    ਪ࿦Ϟσϧͷ

    ࣗಈσϓϩΠ
    

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53. .-ϓϩμΫγϣϯ·ͰͷྲྀΕ
    ਪ࿦Ϟσϧ࡞ͬͨΑ
    ϞσϧσϓϩΠͯ͠

    ਪ࿦"1*࡞ΔΑʂ
    ϫʔΫϑϩʔͰ

    ਪ࿦Ϟσϧͷੜ੒ΛࣗಈԽ
    ΞϓϦέʔγϣϯͷ

    $*$%ύΠϓϥΠϯ
    ਪ࿦Ϟσϧͷ

    ࣗಈσϓϩΠ
    ࣮͸ɺ΍͍ͬͯΔ͜ͱͷຊ࣭͸

    ࠓ·Ͱͷ43&%FW0QTͷख๏ͱͦΜͳʹҧ͍͕ͳ͍
    

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54. վΊͯ.-0QTͷ

    ϛογϣϯʹ͍ͭͯৼΓฦΔ
    

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55. .-0QTνʔϜͷϛογϣϯ ౰ࣾൺ
    
    w .-ΤϯδχΞ΍ݚڀऀ͕ػցֶशϞσϧͷ։ൃʹूதͰ͖Δ؀ڥΛఏڙ͢Δ
    w ϓϩτλΠϓΛϓϩμΫγϣϯϨϕϧʹҾ্͖͛Δ
    ˠݚڀऀɺ.-ΤϯδχΞ͕ͨͪ࡞ͬͨ΋ͷΛ࣮ࡍʹαʔϏεΠϯ͠ӡ༻·Ͱߦ͏
    

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56. .-0QTνʔϜͷϛογϣϯ ౰ࣾൺ
    
    w .-ΤϯδχΞ΍ݚڀऀ͕ػցֶशϞσϧͷ։ൃʹूதͰ͖Δ؀ڥΛఏڙ͢Δ
    w ϓϩτλΠϓΛϓϩμΫγϣϯϨϕϧʹҾ্͖͛Δ
    ˠݚڀऀɺ.-ΤϯδχΞ͕ͨͪ࡞ͬͨ΋ͷΛ࣮ࡍʹαʔϏεΠϯ͠ӡ༻·Ͱߦ͏
    Ϟσϧ΍"1*ͷ೔ʑͷ։ൃऀ
    ମݧͷ޲্
    43&తͳΞϓϩʔν
    

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57. ·ͱΊ
    w %FW0QT͸։ൃͱӡ༻ͷ֞ࠜΛແ͘͠ɺϏδωεʹߩݙ͢ΔεϐʔυײΛߴΊΔͨΊ
    ͷऔΓ૊ΈɺจԽվֵͷϚΠϯυηοτͩͬͨ
    w 43&͸%FW0QTΛؚΉɺαʔϏεͷఏڙՁ஋ΛߴΊΔ࣮ફతͳΞϓϩʔν
    w .-0QT͸྆ऀͷ࣋ͭಛੑΛػցֶशͷεϐʔυײ΍৴པੑΛߴΊΔͨΊͷऔΓ૊Έ
    

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58. 5IBOLZPVGPSZPVSBUUFOUJPO
    

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