Merge nested main (#597)

* MVP for Indian Stocks in qlib using yahooquery

* cleaned with black

* cleaned with black

* add YahooNormalizeIN and YahooNormalizeIN1d

* cleaned the code

* added 1min for IN and also updated readme

* update comments

* fix comments

* recorder support upload both raw file and directory

* fix comments

* Update README.md

* Fix docs of QlibRecorder

* sort index after loader (#538)

make sure the fetch method is based on a index-sorted pd.DataFrame

* refactor online serving rolling api

* refactor TRA

* format by black

* fix horizon

* fix TRA when use single head

* clean up

* improve pretrain

* update README

* fix tra when logdir is None

* fix tra when logdir is None

* Update strategy.py

* Update README.md

* Update README.md

* Conda Suggestion

* code standard docs

* Update ensemble.py (#560)

* Fix CI  Bug (#575)


Co-authored-by: yuxwang <anduinnn@foxmail.com>

* Update gen.py (#576)

* Fix multi-process loop calls (#574)

* check lexsort in the 'lazy_sort_index' function (#566)

* check lexsort

* check lexsort

* lexsort comment

* lexsort comment

* Delete .DS_Store

* Update README.md

* bug fix & use oracle transport pretrain

* mend

* Add `backend_freq_config` parameter, support multi-freq uri

* Add sample_config to QlibDataLoader, support multi-freq

* add multi-freq example

* get_cls_kwargs renamed get_callable_kwargs

* support multi-freq uri

* Add inst_processors to D.features

* Fix typo

* Fix the index type of the multi-freq example

* Fix duplicate mlflow directories in tests

* Add DataPathManager to QlibConfig && modify inst_processors to supports list only

* Modify the default value in the multi_freq example

* Modify client-server mode and dataset-cache to disable inst_processor

* Add wheel package to github CI

* fix comment

* Update FAQ.rst

* Update README.md

Fix wrong link

* Update the docs of TaskManager (#586)

* Update manage.py

* update yaml

* update run_all_model

* Modify the Feature to be case sensitive (#589)

* update README

* remove verbose

* fix spell bug

* fix typos (#592)

* Update Release Note

* fix portfolio bug

* Add calendar support for resample

* add freq kwargs

* test.yml: Remove redundant code (#595)

* Supporting shared processor (#596)

* Supporting shared processor

* fix readonly reverse bug

* remove pytests dependency

* with fit bug

* fix parameter error

* fix comments

* Fix undefined names in Python code (#599)

* Update pytorch_tabnet.py

$ `flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics`
```
./qlib/qlib/contrib/model/pytorch_tabnet.py:567:38: F821 undefined name 'inp'
            self.independ.append(GLU(inp, out_dim, vbs=vbs))
                                     ^
./qlib/examples/model_rolling/task_manager_rolling.py:75:18: F821 undefined name 'task_train'
        run_task(task_train, self.task_pool, experiment_name=self.experiment_name)
                 ^
2     F821 undefined name 'task_train'
2
```

* Fix undefined names in Python code

* from qlib.model.trainer import task_train

* update seed

* fix some docstring

* add comments

* Fix SimpleDatasetCache

* Update setup.py

updated classifiers

* Update setup.py

change to matplotlib==3.3

* Update python-publish.yml

added python 3.9

* updategrade version number

* Update model list

* fix the type of filter_pipe

* fix comment

* fix record_temp

* update cvxpy version

* Update code_standard.rst (#587)

* Update code_standard.rst

* Update docs/developer/code_standard.rst

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* Add file lock for MLflowExpManager (#619)

* fix torch version

* Share version number (#620)

* Update initialization.rst (#622)

* Update initialization.rst

* Update docs/start/initialization.rst

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* Update docs/start/initialization.rst

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* fix bugs for running previous exmaple

* fix deal amount bug

* update change doc (#623)

* Add files via upload

* Update README.md

* Update README.md

* Update README.md

* Delete change doc.gif

* Add files via upload

* Update README.md

* Delete change doc.gif

* Add files via upload

* Delete change doc.gif

* Add files via upload

* Update README.md

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* update doc

* simplify run all model

* fix run all model bug

* Fix Models (#483)

* fix gat dataset

* fix tft model

* Update tft.py

* Fix tft.py

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* type and skip empty exp

* fix model yaml config

* fix tft import bug

* skip empty result

* fix model and yaml bug

* fix wrong generate parameter

* Modify multi-freq example (#626)

* modify the example of multi-freq

* add Copyright

* add a comment to average_ops.py

* modify the example of multi-freq

* add comment to multi_freq_handler.py

* add the Ref expression description to multi_freq_handler.py

* add expression description to multi_freq_handler.py

* update images

* fix workflow and update framework

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examples/benchmarks/README.md

@@ -25,6 +25,7 @@ The numbers shown below demonstrate the performance of the entire `workflow` of
 | TCTS (Xueqing Wu, et al.)| Alpha360 | 0.0485±0.00 | 0.3689±0.04| 0.0586±0.00 | 0.4669±0.02 | 0.0816±0.02 | 1.1572±0.30| -0.0689±0.02 |
 | Transformer (Ashish Vaswani, et al.)| Alpha360 | 0.0141±0.00 | 0.0917±0.02| 0.0331±0.00 | 0.2357±0.03 | -0.0259±0.03 | -0.3323±0.43| -0.1763±0.07 |
 | Localformer (Juyong Jiang, et al.)| Alpha360 | 0.0408±0.00 | 0.2988±0.03| 0.0538±0.00 | 0.4105±0.02 | 0.0275±0.03 | 0.3464±0.37| -0.1182±0.03 |
+| TRA (Hengxu Lin, et al.)| Alpha360 | 0.0491±0.01 | 0.3868±0.06 | 0.0589±0.00 | 0.4802±0.04 | 0.0898±0.02 | 1.2490±0.32 | -0.0778±0.02 |
 
 ## Alpha158 dataset
 | Model Name | Dataset | IC | ICIR | Rank IC | Rank ICIR | Annualized Return | Information Ratio | Max Drawdown |
@@ -43,6 +44,8 @@ The numbers shown below demonstrate the performance of the entire `workflow` of
 | TabNet (Sercan O. Arik, et al.)| Alpha158 | 0.0383±0.00 | 0.3414±0.00| 0.0388±0.00 | 0.3460±0.00 | 0.0226±0.00 | 0.2652±0.00| -0.1072±0.00 |
 | Transformer (Ashish Vaswani, et al.)| Alpha158 | 0.0274±0.00 | 0.2166±0.04| 0.0409±0.00 | 0.3342±0.04 | 0.0204±0.03 | 0.2888±0.40| -0.1216±0.04 |
 | Localformer (Juyong Jiang, et al.)| Alpha158 | 0.0355±0.00 | 0.2747±0.04| 0.0466±0.00 | 0.3762±0.03 | 0.0506±0.02 | 0.7447±0.34| -0.0875±0.02 |
+| TRA (Hengxu Lin, et al.)| Alpha158 (with selected 20 features)| 0.0409±0.00 | 0.3253±0.04 | 0.0488±0.00 | 0.4045±0.02 | 0.0673±0.02 | 1.0389±0.39 | -0.0830±0.02 |
+| TRA (Hengxu Lin, et al.)| Alpha158 | 0.0442±0.00 | 0.3426±0.03 | 0.0555±0.00 | 0.4395±0.03 | 0.0833±0.03 | 1.2064±0.36 | -0.0849±0.02 |
 
 - The selected 20 features are based on the feature importance of a lightgbm-based model.
 - The base model of DoubleEnsemble is LGBM.