fulmicoton

from heapq import heappush, heappop



"""
Our internal analytics system relies heavily on producing sorted streams of
(key: string, payload: bytearray).

In the following, I will forget the payload as they are not important here.
We will only consider a stream of sorted keys.

fulmicoton

#![feature(alloc_system)]
extern crate alloc_system;
extern crate fst;
use fst::set::* ;

struct A<'a> {
    stream: StreamBuilder<'a>,
}

impl<'a> A<'a> {

fulmicoton

#[derive(Default)]
pub struct Token {
    pub offset_from: usize,
    pub offset_to: usize,
    pub position: usize,
    pub term: String,
}

pub trait TokenStream {
    

fulmicoton

    .type	_ZN8rust_out13binary_search17hd76cf76916892235E,@function_ZN8rust_out13binary_search17hd76cf76916892235E:
    .cfi_startproc
    movl	256(%rdi), %ecx
    movl	$64, %edx
    xorl	%eax, %eax
    cmpl	%ecx, %esi
    cmovgeq	%rdx, %rax
    movl	128(%rdi,%rax,4), %ecx
    leaq	32(%rax), %rdx
    cmpl	%ecx, %esi

fulmicoton

let start = 0;
let end = NUM_DOCS_PER_BLOCK;
let mut half = NUM_DOCS_PER_BLOCK / 2;
for _ in 0..7 {
    let mid = start + half;
    let doc = block_docs[mid];
    let cmp = (doc > target);
    (start, end) =
        if (doc <= target) {
            (mid, end)

fulmicoton

use tantivy::*;
use tantivy::postings::SkipResult;

fn extract_termfreq(searcher: &Searcher, term: &Term, doc_address: &DocAddress) -> Option<u32> {
    searcher
        .segment_reader(doc_address.segment_ord() as usize)
        .read_postings(term, SegmentPostingsOption::Freq)
        .and_then(|mut postings| {
            if postings.skip_next(doc_address.doc()) == SkipResult::Reached {
                Some(postings.term_freq())

fulmicoton

import re
from collections import Counter, defaultdict
import hashlib
import time
from multiprocessing import Pool

WHITESPACE = re.compile("\W+")

def iter_shingles(desc):
    md5 = hashlib.md5()

fulmicoton

import random
from collections import defaultdict
from copy import deepcopy 
import itertools
from math import log

	
c = 1.22179

def make_str_to_edge(salts, n_vertices):

fulmicoton

import random

def rotate(circle):
	return circle[1:] + circle[:1]

def _swap(circle_list, i, j):
	val_i = circle_list[i]
	val_j = circle_list[j]
	circle_list[j] = val_i
	circle_list[i] = val_j

fulmicoton

import re
from collections import Counter, defaultdict
import hashlib
import time


WHITESPACE = re.compile("\W+")

def iter_shingles(desc):
    md5 = hashlib.md5()