secemp9

import numpy as np
import torch
from diffusers import DiffusionPipeline
from transformers import BitsAndBytesConfig

# Set up device
device = "cuda" if torch.cuda.is_available() else "cpu"

# Configure 4-bit quantization
quantization_config = BitsAndBytesConfig(

secemp9

Requirements are:

• High IQ, high EQ
• Love for tech and capitalism
• High agency and low ego
• Taste
• Discretion
• A working cringe detector
• Instinct for narrative
• Strong writing ability

secemp9

import ast
import astor

# Sample Python code with assert statements outside a function
code = """
x = 5
assert x == 5
assert x < 3
assert x > 0
"""

secemp9

#!/bin/bash
YOUTUBE_URL="rtmp://a.rtmp.youtube.com/live2/KEY"
TWITTER_URL="rtmp://va.pscp.tv:80/x/KEY"
TWITCH_URL="rtmp://live.twitch.tv/app/KEY"
YOUTUBE_BITRATE="9M"
TWITTER_BITRATE="9M"
TWITCH_BITRATE="7M"
LOCAL_RTMP="rtmp://0.0.0.0:1935"
PIPE_PATH_BASE="/tmp/live_stream"
PLATFORMS=("youtube" "twitter" "twitch")

secemp9

#!/bin/bash

# Set up variables
YOUTUBE_URL="rtmp://a.rtmp.youtube.com/live2/KEY"
TWITTER_URL="rtmp://va.pscp.tv:80/x/KEY"
TWITCH_URL="rtmp://live.twitch.tv/app/KEY"
YOUTUBE_BITRATE="9M"
TWITTER_BITRATE="9M"
TWITCH_BITRATE="7M"
LOCAL_RTMP="rtmp://0.0.0.0:1935"

secemp9

#!/bin/bash

YOUTUBE_URL="rtmp://a.rtmp.youtube.com/live2/KEY"
TWITTER_URL="rtmp://va.pscp.tv:80/x/KEY"
TWITCH_URL="rtmp://live.twitch.tv/app/KEY"
YOUTUBE_BITRATE="9M"
TWITTER_BITRATE="9M"
TWITCH_BITRATE="7M"
LOCAL_RTMP="rtmp://0.0.0.0:1935"
SOCKET_PATH="/tmp/live_stream.sock"

secemp9

import random
import time


def rolling_hash(rect, prev_hash=0):
    base = 256
    mod = 2 ** 64  # Large prime to reduce collisions

    h = prev_hash
    for val in rect:

secemp9

import numpy as np
import matplotlib.pyplot as plt


# Define the parametric equations
def X(t):
    return (4 / 9) * np.sin(2 * t) + (1 / 3) * (np.sin(t) ** 8) * np.cos(3 * t) + (1 / 8) * np.sin(2 * t) * (
            np.cos(247 * t) ** 4)

secemp9

#!/bin/bash

unbind_gpu() {
    echo "Unbinding NVIDIA driver..."
    GPU_PCI=$(lspci | grep -i nvidia | cut -d ' ' -f 1)
    for gpu in $GPU_PCI; do
        echo -n "0000:$gpu" > /sys/bus/pci/drivers/nvidia/unbind
    done
}

secemp9

import itertools
import time
import random
import math
import pandas as pd


def is_sorted_permutation(perm):
    for i in range(len(perm)):
        for j in range(i, len(perm)):