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Feature	Dimensity 9400	Dimensity 9300	Dimensity 9200	Dimensity 8400	Dimensity 8300	Dimensity 8200	Dimensity 7350	Dimensity 7300	Dimensity 7200
CPU	1x Cortex-X925 @ 3.63GHz3x Cortex-X44x Cortex-A720	4x Cortex-X4 @ 3.25GHz4x Cortex-A720 @ 2.0GHz	1x Cortex-X3 @ 3.05GHz3x Cortex-A715 @ 2.85GHz4x Cortex-A510 @ 1.8GHz

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| SoC | Snapdragon 8 Gen 3
(SM8650) | Snapdragon 8s Gen 3
(SM8635) | Snapdragon 8 Gen 2
(SM8550) | Snapdragon 7+ Gen 3
(SM7675-AB) | Snapdragon 7+ Gen 2
(SM7475-AB) | Snapdragon 7 Gen 3
(SM7550-AB) | |----------------------|:---------------------------------------

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Highlights

The 2.2.0 release of the Mesa library introduces several updates and new features for managing and scheduling agents and modelling the environment, along with an experimental release policy aimed at enhancing development speed and community feedback. Below are key highlights of the new (experimental) features in this release.

Despite the minor version number, this is one of our biggest releases yet.

Experimental Feature Policy (discussion #1909)

This release introduces an experimental feature policy aimed at accelerating development and gathering community feedback. Features like #1890, #1898, and #1916 are marked as experimental under this policy.

Policy Overview:

• Experimental features can be added or changed in any release, even patch releases.

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Short introduction:
- Who am I?
- What's the goal of this session? --> Introduce you to some of the most usefull programming tools
- Why? To understand complex systems, we create models. To create models, we need to program.
  - Collaboration, version tracking, documentation and transparency --> Git
  - Error free (and working in general): Debug
  - Validated and robust: Tested
- Three tools: Git, pytest and a debugger with breakpoints

Tool #1: Git

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ID	DestAct	NbTransf	TimePT	WalkingTimePT	WaitingTimePT	CostPT	CostCar	TimeCar	NbHousehold	NbChild	NbCar	NbMoto	NbBicy	NbBicyChild	NbComp	NbTV	Internet	NewsPaperSubs	NbCellPhones	NbSmartPhone	HouseType	OwnHouse	NbRoomsHouse	YearsInHouse	Income	Gender	BirthYear	Mothertongue	FamilSitu	OccupStat	SocioProfCat	CalculatedIncome	Education	HalfFareST	LineRelST	GenAbST	AreaRelST	OtherST	CarAvail	MarginalCostPT	CostCarCHF	Envir01	Envir02	Envir03	Envir04	Envir05	Envir06	Mobil01	Mobil02	Mobil03	Mobil04	Mobil05	Mobil06	Mobil07	Mobil08	Mobil09	Mobil10	Mobil11	Mobil12	Mobil13	Mobil14	Mobil15	Mobil16	Mobil17	Mobil18	Mobil19	Mobil20	Mobil21	Mobil22	Mobil23	Mobil24	Mobil25	Mobil26	Mobil27	ResidCh01	ResidCh02	ResidCh03	ResidCh04	ResidCh05	ResidCh06	ResidCh07	LifSty01	LifSty02	LifSty03	LifSty04	LifSty05	LifSty06	LifSty07	LifSty08	LifSty09	LifSty10	LifSty11	LifSty12	LifSty13	LifSty14	TripPurpose	TypeCommune	UrbRur	LangCode	ClassifCodeLine	frequency	ResidChild	NbTrajects	FreqCarPar	FreqTrainPar	FreqOtherPar	FreqTripHouseh	Region	di

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[project]
dependencies = [
    "numpy",
    "pandas",
    "statsmodels; python_version < '3.11'",
    "statsmodels @ git+https://github.com/statsmodels/statsmodels.git; python_version >= '3.11'",
]

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Problem

Wheels are extremely important for the Python ecosystem, and especially the scientific subsection. Newer Python versions offer many benefits, like new features and faster performance. On the release of a new Python version, for many packages wheels are unfortunately often not immediately available for that version.

This is a problem with many aspects, and in this feature request a system is proposed to partly but significant improve this situations.

The Python annual release cycle, as described in PEP 602, knows 3 phases. In the Alpha phase new features are added and bugs are fixed, during 7 months. The 3-month Beta phase allows for bug fixes. The 2-month release candidate phase is not clearly described in PEP 602, but practically only essential bugs and security issues are fixed. Historically, it also starts the ABI-stable phase for that minor Python version (Python 3.10.0rc1 | [3.11.0rc1](https://ww

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Build FAILED.
"C:\projects\zopfli\cmake_build\zopfli.sln" (default target) (1) ->
"C:\projects\zopfli\cmake_build\ALL_BUILD.vcxproj.metaproj" (default target) (2) ->
"C:\projects\zopfli\cmake_build\libzopfli.vcxproj.metaproj" (default target) (4) ->
"C:\projects\zopfli\cmake_build\libzopfli.vcxproj" (default target) (5) ->
(ClCompile target) -> 
  C:\projects\zopfli\src\zopfli\cache.c(36,9): warning C4477: 'fprintf' : format string '%lu' requires an argument of type 'unsigned long', but variadic argument 1 has type 'size_t' [C:\projects\zopfli\cmake_build\libzopfli.vcxproj]
  C:\projects\zopfli\src\zopfli\cache.c(70,27): warning C4267: '=': conversion from 'size_t' to 'unsigned char', possible loss of data [C:\projects\zopfli\cmake_build\libzopfli.vcxproj]
  C:\projects\zopfli\src\zopfli\cache.c(73,21): warning C4267: '=': conversion from 'size_t' to 'unsigned int', possible loss of data [C:\projects\zopfli\cmake_build\libzopfli.vcxproj]
  C:\projects\zopfli\src\zopfli\deflate.c(392,49): warning C4267: 'funct

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[  8%] Building C object Source/Lib/Common/ASM_SSE4_1/CMakeFiles/COMMON_ASM_SSE4_1.dir/EbComputeSAD_Intrinsic_SSE4_1.c.o
[  9%] Building C object Source/Lib/Common/ASM_SSE4_1/CMakeFiles/COMMON_ASM_SSE4_1.dir/EbBlend_a64_mask_sse4.c.o
/root/SVT-AV1/Source/Lib/Common/ASM_SSSE3/EbHighbdIntraPrediction_Intrinsic_SSSE3.c:5:10: fatal error: tmmintrin.h: No such file or directory
 #include <tmmintrin.h>
          ^~~~~~~~~~~~~
compilation terminated.
Source/Lib/Common/ASM_SSSE3/CMakeFiles/COMMON_ASM_SSSE3.dir/build.make:86: recipe for target 'Source/Lib/Common/ASM_SSSE3/CMakeFiles/COMMON_ASM_SSSE3.dir                                                                                                                                                             /EbHighbdIntraPrediction_Intrinsic_SSSE3.c.o' failed
make[2]: *** [Source/Lib/Common/ASM_SSSE3/CMakeFiles/COMMON_ASM_SSSE3.dir/EbHighbdIntraPrediction_Intrinsic_SSSE3.c.o] Error 1
make[2]: *** Waiting for unfinished jobs....
/root/SVT-AV1/Source/Lib/Common/ASM_SSE4_