1. add OFA whl for image caption pipeline
2. fix a bug in pipelines/builder.py
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8930942

    * [to #41669377] docs and tools refinement and release 

1. add build_doc linter script
2. add sphinx-docs support
3. add development doc and api doc
4. change version to 0.1.0 for the first internal release version

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8775307

* [to #41669377] add pipeline tutorial and fix bugs 

1. add pipleine tutorial
2. fix bugs when using pipeline with certain model and preprocessor

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8814301

* refine doc

* refine doc

* upload ofa for caption(with source code but not whl)

* remove data in gitignore

* append uncommitted data dir in ofa

* remove ofa_dir , use ofa.whl instead.

* update BPE

* rollback changes used in debugging.

* Merge branch 'master' into ofa/image_caption

# Conflicts:
#	docs/README.md
#	docs/source/conf.py
#	docs/source/index.rst
#	docs/source/tutorials/pipeline.md
#	maas_lib/models/nlp/sequence_classification_model.py
#	maas_lib/pipelines/builder.py
#	maas_lib/version.py
#	setup.py
#	tests/pipelines/test_text_classification.py

* 1. fix a bug in pipelines/builder.py.
2. modify model_path to model in image_captioning.py.

* 1. rename test_image_captioning.py.

* format all files using pre-commit.

* add fairseq in requirements.txt

* add fairseq in requirements.txt

* change fairseq path to git repo to a whl on oss in ofa.txt.

* change module_name to 'ofa'

* Merge remote-tracking branch 'origin/master' into ofa/image_caption

# Conflicts:
#	maas_lib/pipelines/builder.py

* optim requirements for ofa / refine image_captioning.py

* uncommited change.

* feat: Fix confilct, auto commit by WebIDE

* add preprocessor module
 * add model base and builder
 * update task constant
 * add load image preprocessor and its dependency
 * add pipeline interface and UT covered
 * support default pipeline for task
 * add image matting pipeline
 * refine nlp tokenize interface
 * add nlp pipeline 
 * fix UT failed
 * add test for Compose

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8769235

* add preprocessor module

* add test for Compose

* fix citest error

* fix abs class error

* add model base and builder

* update task constant

* add load image preprocessor and its dependency

* add pipeline interface and UT covered

* support default pipeline for task

* refine models and pipeline interface

* add pipeline folder structure

* add image matting pipeline

* refine nlp tokenize interface

* add nlp pipeline 

1.add preprossor model pipeline for nlp text classification
2. add corresponding test

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8757371

* new nlp pipeline

* format pre-commit code

* update easynlp pipeline

* update model_name for easynlp pipeline; add test for maas_lib/utils/typeassert.py

* update test_typeassert.py

* refactor code

1. rename typeassert to type_assert
2. use lazy import to make easynlp dependency optional
3. refine image matting UT

* fix linter test failed

* update requirements.txt

* fix UT failed

* fix citest script to update requirements