~j[SSKrSSS\RRSS5SS.rS S S S .r/S Qr/SQrS/rSSSS.r\\-\-r Sr \ (a\ O\ Vs/sH oS:wdM UPM snr S\ S\ 4Sjr SSSSSS.SSSSS S.S!S"SSS#S.S$.rS!S"S%.S!S"S%.S!S"S%.S!S"S%.S!S"S%.S!S"S%.S&S'S%.S(.rS)rS\ S\4S*jrS\ S\\\\44S+jrS\ S\4S,jrS-rS.rS/rS0rS1S2S3S4\S5S6.r/S7Q/S8QS9S&S&S:S!S7.S;S. rSS?S&S9S@SASBS'SCSDSES@S1SF. r\SR?5r SCSSSGSS)SS)/SHQSIS'SJ.SK. r!S)S2SLSM/SN.r"\#"\"RSO/55r$SPSQSR.SPSPSR.SPSPSR.SPSSSR.SPSTSR.SPSUSR.SPSTSR.SPSTSR.SPSUSR.SPSUSR.SPSVSR.SPSWSR.SPSPSR.SPSXSR.SY.r%S9S9S9S!S:S:S!S!S:S!S9S9S9S9SY.r&S9S:S!S!S9S!S&S!S9S!S:S9S:S9SY.r'SZS[S9S:S\.r(S)r)S)r*S\ S\4S]jr+S\ S\4S^jr,S)r-\#"5r.\#"5r/\(S_r0\(S`r1\(Sar2\(Sbr3\SScr4\SSdr5Ser6Sfr7SSK8r8\8RrRu5r;\8RxRr(a\8RxRrOSgr=\8RrR}5r?\;(a\8RrRS5OSgrA\;(aShOSirCSirD\CqESxSj\ S\ 4SkjjrFS\ 4SljrGS1S2\S5SmSn.SoSpS0S- --r.z models/saved*皙?g? ) n_estimators max_depthmin_samples_splitmin_samples_leaf random_staten_jobs)rJ<)g?333333?rH@g@g?gQ?) horizonshorizon_weights min_ratiomin_abs_move_atrmove_exists_thresholds atr_periodmax_bars_ratio use_atr_normuse_bars_targetuse_move_classifier breakeven_wrxgb_peak_weightxgb_trough_weightigMbP?gGz?g{Gz?i'iP) n_epochs episode_sizer2r3 hidden_dimlrgamma epsilon_start epsilon_endepsilon_decay_stepsbuffer_capacity batch_size target_update))皙?rW)rVg@)rVr7g)rL) risk_per_tradesl_multtp_multreentry_delay_hourstime_stop_hoursweekend_filterr6ladder_enabled ladder_tiersladder_sl_after_tierg333333ÿ)enabled min_tradesmin_window_pnl_pctcooldown_hours blacklistrgQ?gRQ?)longshortgGz?gףp= ?rVrsg)\(?gq= ףp?)rrrrrrrrrrrrrrg?gzG?)long_thresholdshort_threshold short_weight long_weightc8[=(a [U5S:H$)ucTrue если тикер относится к MOEX и включён режим только-LONG.r!)MOEX_ONLY_LONGr-r+s r,is_moex_only_longr"s  :j0F::r.c8[=(a [U5S:H$)uTrue если short-таргеты не должны вычисляться при обучении для этого тикера.r!)SHORT_TRAIN_DISABLED_MOEXr-r+s r,should_disable_short_trainingr&s $ EF);v)EEr.rrrrr2r3gffffff?rTzN/AcudacpumodecUS:Xa [q[$US:Xa [q[$US:Xa[(aSq[$Sq[$Uq[$)uG Switches global DEVICE for training vs inference. Args: mode: 'train' → CUDA (if available), 'inference' → CPU, 'auto' → auto-detect. Returns: The device string that was set. IMPORTANT: Call this BEFORE importing models.experts in training scripts, because experts.py reads config.DEVICE at module load time. train inferenceautorr) TRAIN_DEVICEDEVICEINFERENCE_DEVICE_CUDA_AVAILABLE)rs r, set_devicergs` w M  ! M *? M16 M Mr.c LS[S[S[S[S[3 $)z4Returns a formatted string with current device info.zDevice: z | CUDA avail: z | CUDA ver: z | GPU: u × )rr _CUDA_VERSION _GPU_COUNT _GPU_NAMEr.r,print_device_infors3 6(//):;"O8JrsZ    1;?!   D 1  2 HE ^+m;  ! 2[M![ 2  s s B"#B[]ptu"#B[]ptu!#B[]ptu .! 5  5  5  5  5  5 ! 5  c d  C E%*=$> .#.$.   "!#$kRQ &#&CS9"     &f-224   % >*..{B?@T *T *T *T *T *T *T *T *T *T *T *T *T *T *&3 3 3 3 3  # # # # #   ;c;d;F#F$F%!!12!"34%n5$]3  ' 6  ' 6 jj--/O*/--*<*