Consider the following test code, it's taken from the ScrollBar documentation and modified a bit. Run the app and try to switch

"gpu_mem": "3.03G", "min_top1_err": 93.66842, "min_top5_err": 84.47895, "time_diff": 1.88553, "top1_err": 93.66842, "top5_err": 84.47895}

21 amd64 VM: Dynamic Code Evolution 64-Bit Server VM，JetBrains s.r.o. Windows 10 10.0 GC: G1 Young Generation, G1 Old Generation

atic_analysis/program_specialize.cc:178] Run] Specialize set top func graph context: {FuncGraph: 83_1_after_grad.276 Args: [0]:

```yaml # 显示名称 name: joe1sn # 跳转地址 link: https://www.joe1sn.top/ # 你的头像 avatar: https://e4l4pic.oss-cn-beijing.aliyuncs.com/img/20220421231003

identifier is reported only once for each function it appears in At top level: ../../../drivers/adapter/platform/gpio/gpio_bes.c:34:34:

com/file/d/1E3S18YbUfBm7YtxYOV7I9FmrntnlFKCp/view?usp=sharing) or [OneDrive](https://1drv.ms/u/s!AvreNzlRJaHnfZE0w9s_h9oK98c?e=xPiAxS)

位数 avg_s,std_s,var_s,max_s,min_s,med_s=descStu(stu) print("三个班总的成绩平均值为：",avg_s,"标准差为：",std_s,"方差为：",var_s,"最高分为：",max_s,"最低分为："

json_txt['AI Core'] │ │ 73 │ │ │ res.append(' - [AI Core][Status:%s][TaskId:%s] %s' % ( │ │ ❱ 74 │ │ │ │ detail['status'], detail['task_id']

RES SHR S[%CPU] %MEM TIME+ ARGS 2590 system 20 0 12M 6.2M 5.5M S 642 0.3 0:02.06 msdp 2699 system 0 -20 133M 63M 54M S 45.3 3.1

easy to imagine contention. 7. Infact, perf points out it to be top-function with 35% of the time being used in the said stats update