robcaulk
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0bf915054d
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handle key check correctly
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2022-05-28 11:22:32 +02:00 |
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robcaulk
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c5a16e91fb
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throw user error if user tries to load models but feeds the wrong features (while using PCA)
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2022-05-28 11:11:41 +02:00 |
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robcaulk
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b8f9c3557b
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dirty dirty, dont look here (hacking a flag to avoid reloading leverage_tiers in dry/live)
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2022-05-27 13:56:34 +02:00 |
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robcaulk
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891fb87712
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give load_cached_data_for_updating the right flags to avoid redownloading data in dry/live
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2022-05-27 13:38:22 +02:00 |
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robcaulk
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65fdebab75
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let load_pairs_histories load futures candles in live
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2022-05-27 13:01:33 +02:00 |
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robcaulk
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c080571b7a
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help futures go dry/live with auto download feature
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2022-05-27 12:23:32 +02:00 |
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robcaulk
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8a501831d6
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fix the error logic on previous commit
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2022-05-27 01:15:55 +02:00 |
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robcaulk
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23c30dbc10
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add error for user trying to backtest with backtest_period<1
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2022-05-27 00:43:52 +02:00 |
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robcaulk
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6193205012
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fix bug for target_mean/std array merging in backtesting
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2022-05-26 21:07:50 +02:00 |
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robcaulk
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b79d4e8876
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Allow user to go live and start from pretrained models (after a completed backtest) by simply reusing the identifier config parameter while dry/live.
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2022-05-25 14:40:32 +02:00 |
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robcaulk
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7486d9d9e2
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proper validation of freqai config parameters
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2022-05-25 12:37:25 +02:00 |
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robcaulk
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7ff3258607
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remove assertions, log error if user has not assigned freqai in config, fix stratify bug
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2022-05-25 11:43:45 +02:00 |
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robcaulk
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35bed842cb
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cleanup, add clarity to comments and docstrings
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2022-05-25 11:31:03 +02:00 |
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robcaulk
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58b5abbaa6
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improve multithreaded training queue system
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2022-05-24 15:28:38 +02:00 |
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robcaulk
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31ae2b3060
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alleviate FutureWarning in sklearn about ensuring svm model features are passed with identical order
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2022-05-24 14:46:16 +02:00 |
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robcaulk
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255d35976e
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add priority metadata to pairs to avoid a sync of train time + train period
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2022-05-24 12:58:53 +02:00 |
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robcaulk
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059c285425
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paying closer attention to managing live retraining on separate thread without affecting prediction of other coins on master thread
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2022-05-24 12:01:01 +02:00 |
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robcaulk
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b0d2d13eb1
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improve data persistence/mapping for live/dry. This accommodates quick reloads after crash and handles multi-pair cleanly
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2022-05-23 21:05:05 +02:00 |
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robcaulk
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e1c068ca66
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add config asserts, use .get method with default values for optional functionality, move data_cleaning_* to freqai_interface (away from user custom pred model) since it is controlled by config params.
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2022-05-23 12:07:09 +02:00 |
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robcaulk
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ee3cdd0ffe
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more cleanup
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2022-05-23 09:55:58 +02:00 |
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robcaulk
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3587bd82e1
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cleanup superceded code
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2022-05-23 00:10:36 +02:00 |
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robcaulk
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af0cc21af9
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Enable hourly/minute retraining in live/dry. Suppress catboost folder output. Update config + constants + docs to reflect updates.
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2022-05-23 00:06:26 +02:00 |
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robcaulk
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42d95af829
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Aggregated commit. Adding support vector machine for outlier detection, improve user interface to dry/live, better standardization, fix various other bugs
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2022-05-22 17:51:49 +02:00 |
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robcaulk
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c5ecf94177
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move live retraining to separate thread.
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2022-05-19 21:15:58 +02:00 |
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robcaulk
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1fae6c9ef7
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keep model accessible in memory to avoid loading objects from disk during live/dry
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2022-05-19 19:27:38 +02:00 |
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robcaulk
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89eacf2f47
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Retrain model if FreqAI found a pretrained model but user strategy is not passing the expected features (user has changed the features in the strategy but has passed a the same config[freqai][identifier]). Logger warning output to user.
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2022-05-19 17:15:50 +02:00 |
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Matthias
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c81b960791
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Fix some typos
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2022-05-17 19:58:36 +02:00 |
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robcaulk
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db66b82f6f
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accept open-ended timeranges from user
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2022-05-17 19:50:06 +02:00 |
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robcaulk
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d1d451c27e
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auto populate features based on a prepended % in the strategy (remove feature assignment from config). Update doc/constants/example strategy to reflect change
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2022-05-17 18:15:03 +02:00 |
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robcaulk
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8664e8f9a3
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create a prediction_models folder where basic prediction models can live (similar to optimize/hyperopt-loss. Update resolver/docs/and gitignore to accommodate change
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2022-05-17 17:13:38 +02:00 |
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robcaulk
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80dcd88abf
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allow user to run config from anywhere on their system
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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a8022c104a
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give beta testers more information in the doc
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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9b3e5faebe
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create more flexible whitelist, avoid duplicating whitelist features into corr_pairlist, update docs
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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22bd5556ed
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add self-retraining functionality for live/dry
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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178c2014b0
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appease mypy
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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f653ace24b
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another attempt at fixing datalength bug
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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b08c0888bb
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add USERPATH_FREQAIMODELS, remove return values from @abstract methods
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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b03c7b514d
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optional style for interfacing freqai with backtesting
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2022-05-15 17:42:15 +02:00 |
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robcaulk
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3020218096
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fix bug on backtest timerange
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2022-05-15 17:41:34 +02:00 |
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robcaulk
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00ff0c9b91
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ensure user defined timerange truncates final backtest so that we arent mismatching data lengths upon return to strategy. Rename DataHandler class to FreqaiDataKitchen
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2022-05-15 17:41:34 +02:00 |
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robcaulk
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def71a0afe
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auto build full_timerange and self manage training_timerange
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2022-05-15 17:41:34 +02:00 |
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robcaulk
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764f9449b4
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fix logger, debug some flake8 appeasements
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2022-05-15 17:41:34 +02:00 |
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robcaulk
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29c2d1d189
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use logger in favor of print
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2022-05-15 17:38:58 +02:00 |
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robcaulk
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99f7e44c30
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flake8 passing, use pathlib in lieu of os.path to accommodate windows/mac OS
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2022-05-15 17:38:58 +02:00 |
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robcaulk
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630d201546
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remove trained_stake
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2022-05-15 17:38:58 +02:00 |
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robcaulk
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b40f8f88ac
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cleaning and bug fixing
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2022-05-15 17:38:58 +02:00 |
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robcaulk
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fc837c4daa
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add freqao backend machinery, user interface, documentation
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2022-05-15 17:38:58 +02:00 |
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