am009 am009

## codex-config.toml
model = "deepseek-v4-flash"
notify = [
    "python3",
    "/home/ubuntu/.codex/notify.py",
]

## gist:360b6fd3df9fe6d83b49864ec93f17c1
# 克隆自聚宽文章：https://www.joinquant.com/post/25496
# 标题：收益狂飙，年化收益100%，11年1700倍，绝无未来函数
# 作者：jqz1226 ZUEL

# 克隆自聚宽文章：https://www.joinquant.com/post/25496
# 标题：收益狂飙，年化收益100%，11年1700倍，绝无未来函数
# 原作者：jqz1226 ZUEL
# 修改者: will be rich man

# 流程分析

## ssh_udp_ring.py
#!/usr/bin/env python3
import argparse
import base64
import ctypes
import os
import subprocess
import sys
import time


## SKILL-BILI-VIDEO.md

      
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                am009
                / SKILL-BILI-VIDEO.md
            
            
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              March 1, 2026 12:50
            
              
                创建一个访问bilibili视频的skills
              
          
    在~/biliread/down.py 这个路径里创建脚本，内容如下：
import sys,os
import argparse
from pathlib import Path

try:
    from bilix.sites.bilibili import DownloaderBilibili, api
    from bilix.utils import legal_title, json2srt


## sdpa_attention.diff
diff --git a/sdpa_attention.py b/sdpa_attention.py
index e2eb69b..56786e8 100644
--- a/sdpa_attention.py
+++ b/sdpa_attention.py
@@ -93,16 +93,22 @@ def sdpa_attention_forward(
             # Convert to boolean type, making sdpa to force call FlashAttentionScore to improve performance.
             attention_mask = torch.logical_not(attention_mask.bool()).to(query.device)

-    attn_output = torch.nn.functional.scaled_dot_product_attention(
-        query,

## simulate-streaming-sense-voice-microphone.py
#!/usr/bin/env python3
#
# Copyright (c)  2025  Xiaomi Corporation

"""
This file demonstrates how to use sherpa-onnx Python APIs
with VAD and non-streaming SenseVoice for real-time speech recognition
from a microphone.

Requirements:

## restartAudio.bat
net stop audiosrv
net stop AudioEndpointBuilder
net start audiosrv
net start AudioEndpointBuilder

## forward_exec.py
#!/usr/bin/env python

import socket
import threading
import select
import sys
import time
import subprocess
import os
from datetime import datetime

## benchmark-prepare.sh
#!/bin/bash

set -e

# https://llvm.org/docs/Benchmarking.html
# https://smalldatum.blogspot.com/2024/10/managing-cpu-frequency-for-amd-on.html
# sudo apt install linux-tools-common linux-tools-generic linux-cloud-tools-generic cpuset
# disable hyper threading
for i in $(seq 16 31); do
    echo 0 | sudo tee /sys/devices/system/cpu/cpu$i/online

## wait-docker.sh
#!/bin/bash

set -e

# 每3分钟循环检测
while true; do
    running_containers=$(docker ps -q)  # 获取所有正在运行的容器ID

    if [ -z "$running_containers" ]; then
        echo "没有正在运行的容器，跳出循环"
	model = "deepseek-v4-flash"
	notify = [
	"python3",
	"/home/ubuntu/.codex/notify.py",
	]
	# 克隆自聚宽文章：https://www.joinquant.com/post/25496
	# 标题：收益狂飙，年化收益100%，11年1700倍，绝无未来函数
	# 作者：jqz1226 ZUEL

	# 克隆自聚宽文章：https://www.joinquant.com/post/25496
	# 标题：收益狂飙，年化收益100%，11年1700倍，绝无未来函数
	# 原作者：jqz1226 ZUEL
	# 修改者: will be rich man

	# 流程分析
	#!/usr/bin/env python3
	import argparse
	import base64
	import ctypes
	import os
	import subprocess
	import sys
	import time
	diff --git a/sdpa_attention.py b/sdpa_attention.py
	index e2eb69b..56786e8 100644
	--- a/sdpa_attention.py
	+++ b/sdpa_attention.py
	@@ -93,16 +93,22 @@ def sdpa_attention_forward(
	# Convert to boolean type, making sdpa to force call FlashAttentionScore to improve performance.
	attention_mask = torch.logical_not(attention_mask.bool()).to(query.device)

	- attn_output = torch.nn.functional.scaled_dot_product_attention(
	- query,
	#!/usr/bin/env python3
	#
	# Copyright (c) 2025 Xiaomi Corporation

	"""
	This file demonstrates how to use sherpa-onnx Python APIs
	with VAD and non-streaming SenseVoice for real-time speech recognition
	from a microphone.

	Requirements:
	net stop audiosrv
	net stop AudioEndpointBuilder
	net start audiosrv
	net start AudioEndpointBuilder
	#!/usr/bin/env python

	import socket
	import threading
	import select
	import sys
	import time
	import subprocess
	import os
	from datetime import datetime
	#!/bin/bash

	set -e

	# https://llvm.org/docs/Benchmarking.html
	# https://smalldatum.blogspot.com/2024/10/managing-cpu-frequency-for-amd-on.html
	# sudo apt install linux-tools-common linux-tools-generic linux-cloud-tools-generic cpuset
	# disable hyper threading
	for i in $(seq 16 31); do
	echo 0 \| sudo tee /sys/devices/system/cpu/cpu$i/online
	#!/bin/bash

	set -e

	# 每3分钟循环检测
	while true; do
	running_containers=$(docker ps -q) # 获取所有正在运行的容器ID

	if [ -z "$running_containers" ]; then
	echo "没有正在运行的容器，跳出循环"