qingy1337

# --- Configuration ---
AUDIO_FILE = 'Your MP3 File.mp3'  # <<< CHANGE THIS TO YOUR AUDIO FILE (can be .wav or .mp3)
TARGET_SR = 12000              # Target sample rate, best to choose from [8000, 11025, 16000, 22050] (lower = less data, 16k is probably the best for its size, but still can reach the 5MB graph size limit, you can use 10000 or 9000 too.)
N_PARTIALS = 30                # Sine waves per frame (higher = more detail, more accurate, a bit more noisy)
GAIN_DIGITS=3                  # Number of decimal places for gain values (higher = more precise, but bigger graph size)
N_FFT = 1024                   # FFT window size (advanced, don't change unless you know what you're doing) Default: 1024
HOP_LENGTH = 256               # Samples between frames (also advanced)
MAX_LIST_SIZE = 9999           # Max items per list (DO NOT CHANGE)
GAIN_SCALING_POWER = 1.0       # Compress gain dynamics (0.5 is sqrt) (turn up to 0.7-1.0 if the resulting graph is not clear)

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Action	Description	Command
Turn On Accents	Enable system accents	defaults write -g ApplePressAndHoldEnabled -bool true
Turn Off Accents	Disable system accents	defaults write -g ApplePressAndHoldEnabled -bool false
Lock Dock Resizing	Prevent dock size changes	defaults write com.apple.Dock size-immutable -bool true; killall Dock
Unlock Dock Resizing	Allow dock size changes	defaults write com.apple.Dock size-immutable -bool false; killall Dock
Hide Folders/Files	Hides them in Finder	chflags hidden path/to/file/or/folder
Remove Caps Lock Delay	No more delay when pressing caps lock	hidutil property --set '{"CapsLockDelayOverride":0}'

qingy1337

To automatically authenticate Tailscale on startup in Ubuntu, follow these steps:

1. Generate a reusable auth key from the Tailscale admin console at https://login.tailscale.com/admin/authkeys. Make sure to select the appropriate options for your use case (e.g., whether the node is ephemeral or not).

2. On your Ubuntu machine, run the following commands to set up the auth key and create a systemd service:

# Create a directory for the auth key

qingy1337

--- Me ---
What is the integral of cot^4(x) + 3x^2 dx ?

--- Model ---
The core task is to compute an indefinite integral involving a trigonometric function and a polynomial. The approach requires applying integration techniques (e.g., substitution, partial fractions) and algebraic manipulation. This demands careful step-by-step analysis, so deep mathematical reasoning is essential here.
</judge>

<think_on>
<think>
We are to find the integral of cot^4(x) + 3x^2 dx.

qingy1337

curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.local/bin/env
mkdir blackwell && cd blackwell
uv venv .venv --python=3.10 --seed
source .venv/bin/activate

uv pip install -U vllm --torch-backend=cu128 --extra-index-url https://wheels.vllm.ai/nightly
uv pip install unsloth unsloth_zoo bitsandbytes
uv pip install -U triton>=3.3.1 transformers
uv pip install huggingface_hub datasets deepspeed
uv pip install https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.3.13/flash_attn-2.8.1+cu128torch2.7-cp310-cp310-linux_x86_64.whl

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[gMASK]<sop>
{%- if tools -%}
<|system|>
# Tools

You may call one or more functions to assist with the user query.

You are provided with function signatures within <tools></tools> XML tags:
<tools>
{% for tool in tools %}

qingy1337

# Update package list and install required tools
apt-get update -y
apt-get install -y wget lsb-release

# Auto-detect distro for repo (works for Ubuntu 22.04/24.04)
distribution=$(lsb_release -is | tr '[:upper:]' '[:lower:]')
version=$(lsb_release -rs | sed 's/\.//g')
repo_code="${distribution}${version}"

# Download and set up pinning + keyring

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#!/usr/bin/env python3
"""
PyTorch GPU Benchmark Script
Benchmarks CUDA, MPS (Apple Silicon), or CPU and outputs a score from 1000-5000.
"""

import torch
import torch.nn as nn
import torch.nn.functional as F
import time