ThomasG77

# Recipe from https://unix.stackexchange.com/questions/66931/split-pdf-into-documents-with-several-pages-each
pagesper=2
file=layout_atlas_multipage.pdf

number=$(pdfinfo -- "$file" 2> /dev/null | awk '$1 == "Pages:" {print $2}')
count=$((number / pagesper))
filename=${file%.pdf}

counter=0
while [ "$count" -gt "$counter" ]; do 

PetrochukM

import torch

# Credits to AllenNLP for the base implementation and base tests:
# https://github.com/allenai/allennlp/blob/master/allennlp/nn/util.py#L174

# Modified AllenNLP `viterbi_decode` to support `top_k` sequences efficiently.
def viterbi_decode(tag_sequence: torch.Tensor, transition_matrix: torch.Tensor, top_k: int=5):
    """
    Perform Viterbi decoding in log space over a sequence given a transition matrix
    specifying pairwise (transition) potentials between tags and a matrix of shape

mblondel

"""
Efficient implementation of FISTA.
"""

# Author: Mathieu Blondel
# License: BSD 3 clause

import numpy as np

sedm0784

g_LastCtrlKeyDownTime := 0
g_AbortSendEsc := false
g_ControlRepeatDetected := false

*CapsLock::
    if (g_ControlRepeatDetected)
    {
        return
    }

GaelVaroquaux

import time
import sys

import numpy as np
from numpy.lib.stride_tricks import as_strided
from math import sqrt
from scipy import linalg
from scikits.learn.linear_model import Lasso, lars_path
from joblib import Parallel, delayed