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import argparse
from collections import Counter
import os
from struct import unpack
from dataclasses import dataclass

@dataclass
class Mp3Frame:
    data: bytes
    bitrate: int

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#[cfg(all(target_arch = "x86_64", target_feature = "avx2"))]
unsafe fn hammcmp_256bit_avx2(mut a: &[u8], mut b: &[u8]) -> u32 {
    use std::arch::x86_64::{*};
    let mut dist = 0;
    while a.len() >= 32 {
        let av = _mm256_loadu_si256(a.as_ptr() as *const _);
        let bv = _mm256_loadu_si256(b.as_ptr() as *const _);
        let axorb = _mm256_xor_si256(av, bv);
        dist += _popcnt64(_mm256_extract_epi64(axorb, 0));
        dist += _popcnt64(_mm256_extract_epi64(axorb, 1));

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$ (for C in 1.0 2.0 2.5 3.0 3.5 4.0; do echo "/cfg $C"; echo "/reset"; echo "How do I become famous?"; done) | ./target/release/chat --mirostat --cfg-scale 2.0 --system-prompt "act as an expert chef"
Using ChatML prompting format.
mpt_model_load: loading model from 'minmpt.cpp/models/ggml-mpt-7b-chat-q5_1.bin' - please wait ...
mpt_model_load: ggml ctx size = 5397.09 MB
mpt_model_load: ........................ done
mpt_model_load: model size =  5397.02 MB / num tensors = 194
mpt_kvcache: memory_size =  1024.00 MB, n_mem = 65536
CFG Mode on!
mpt_kvcache: memory_size =  1024.00 MB, n_mem = 65536
cfg_scale=1

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// make mcs; ./mcs file
// writes <sample size> as uint32 to mincore.bin followed by 1 mincore() per second for 60 seconds

#include <stdlib.h>
#include <stdio.h>
#include <errno.h>
#include <sys/types.h>
#include <sys/mman.h>
#include <sys/stat.h>
#include <stdint.h>

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#include <sys/mman.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

size_t memtotal() {
    char buf[200];
    size_t ret;
    FILE* meminfo = fopen("/proc/meminfo", "r");
    if (!meminfo) {

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// how to create a process pipeline in C, or: 
//  how does the shell execute something like this:
//// $ awk '{print $3}' < /proc/mounts | sort | uniq -c

#define _GNU_SOURCE // needed for pipe2
#include <fcntl.h>
#include <stdlib.h>
#include <unistd.h>
#include <sys/wait.h>
#include <stdio.h>

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In [1]: from pathlib import Path

In [2]: from codecs import encode

In [3]: words = set(Path('/usr/share/dict/words').read_text().splitlines())

In [4]: rot13 = set(encode(w, 'rot13') for w in words)

In [5]: [(w, encode(w, 'rot13')) for w in (words & rot13) if len(w) >= 3]
Out[5]: