Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10103248

    * update EasyCV MSDataset

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8973072

    * [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

* feat: add audio aec pipeline and preprocessor

* feat: add audio aec model classes

* feat: add audio aec loss functions

* refactor:delete no longer used loss function

* [to #42281043] support kwargs in pipeline 
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8949062
* support kwargs in pipeline

* update develop doc with CR instruction

* Merge branch 'release/0.1' into dev/aec

* style: reformat code by pre-commit tools

* feat:support maas_lib pipeline auto downloading model

* test:add aec test case as sample code

* feat:aec pipeline use config from maashub

* feat:aec pipeline use feature parameters from maashub

* update setup.cfg to disable PEP8 rule W503 in flake8 and yapf

* format:fix double quoted strings, indent issues and optimize import

* refactor:extract some constant in aec pipeline

* refactor: delete no longer used  __main__ statement

* chore:change all Chinese comments to English

* fix: change file name style to lower case

* refactor: rename model name

* feat:load C++ .so from LD_LIBRARY_PATH

* feat:register PROPROCESSOR for LinearAECAndFbank

* refactory:move aec process from postprocess() to forward() and update comments

* refactory:add more readable error message when audio sample rate is not 16000

* fix: package maas_lib renamed to modelscope in import statement

* feat: optimize the error message of audio layer classes

* format: delete empty lines

* refactor: rename audio preprocessor and optimize error message

* refactor: change aec model id to damo/speech_dfsmn_aec_psm_16k

* refactor: change sample audio file url to public oss

* Merge branch 'master' into dev/aec

* feat: add output info for aec pipeline

* fix: normalize output audio data to [-1.0, 1.0]

* refactor:use constant from ModelFile

* feat: AEC pipeline can use c++ lib in current working directory and the test will download it

* fix: c++ downloading should work wherever test is triggerd

1.  refactor maaslib to modelscope
2.  fix UT error
3.  support pipeline which does not register default model

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8988388

* 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

* add constant
 * add logger module
 * add registry and builder module
 * add fileio module
 * add requirements and setup.cfg
 * add config module and tests
 * add citest script

Link: https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8718998