Abusagit

def turbo_bmh(string, pattern):
  """
  Bad character heuristic, good suffix heuristic, turbo-shift heuristic implemented on Python
  """
    def _suffices_preprocessing(suffix):
        suffix[m - 1] = m
        g = m - 1

        for i in range(m - 2, -1, -1):
            if i > g and suffix[i + m - f - 1] < i - g:

Abusagit

git fetch --all
git reset --hard origin/master
git pull origin master

Abusagit

#!/usr/bin/env python

import io
import os
import pandas as pd


def read_vcf(path):
    with open(path, 'r') as f:
        lines = [l for l in f if not l.startswith('##')]

Abusagit

#!usr/bin/python
# -*- coding: utf-8 -*-
#
#@created: 09.10.2021
#@author: Fyodor Velikonivtsev
#@contact: [email protected]


import bisect
import io

Abusagit

def normalizeRows(x):
    """
    Implement a function that normalizes each row of the matrix x (to have unit length).
    
    Argument:
    x -- A numpy matrix of shape (n, m)
    
    Returns:
    x -- The normalized (by row) numpy matrix. You are allowed to modify x.
    """

Abusagit

import dgl
from typing import Any
from copy import deepcopy
def construct_subgraph_from_blocks(blocks: list[Any], 
                                   batch_size:int,
                                   node_attributes_to_copy: list[str],
                                   ) -> dgl.DGLGraph:
    """
    Constructs a copy of a Message flow graphs (MFG), defined as a list of MFGs.