kingjr

import functools
import inspect
import shutil
import sys
import time
from datetime import datetime, timedelta
from pathlib import Path

from joblib import Memory

kingjr

from transformers import AutoModel, AutoTokenizer
import torch
from tqdm.notebook import trange, tqdm
import pandas as pd
from bm.studies.utils import match_list
import numpy as np
import matplotlib.pyplot as plt


    

kingjr

import itertools
import json
import os
import re
import typing as tp
from collections import defaultdict
from pathlib import Path

import datalad
import datalad.api

kingjr

#pip install benepar
#pip install protobuf==3.20.0

import spacy
import numpy as np

class Parser():
    
    def __init__(self,):
        model = 'fr_core_news_sm'

kingjr

import grequests  # pip install grequests
from pathlib import Path
from tqdm import tqdm
import textgrid # pip install git+https://github.com/kylerbrown/textgrid#egg=textgrid
import typing as tp
import numpy as np


def online_MAUS_aligner(
    txt_files, wav_files, language, ext="TextGrid", save_dir=None,

kingjr

from Levenshtein import editops


def match_list(A, B, on_replace="delete"):
    """Match two lists of different sizes and return corresponding indice
    Parameters
    ----------
    A: list | array, shape (n,)
        The values of the first list

kingjr

from pynput.mouse import Controller
import time
mouse = Controller()
for i in range(10_000_000):
    mouse.move((i % 2)*2-1, 0)
    time.sleep(60.)

kingjr

import numpy as np
from scipy.stats import ttest_1samp, wilcoxon


def ttest(a):
    return ttest_1samp(a, 0)


n_times = 30
n_chans = 4

kingjr

kingjr

# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
#%matplotlib inline
# pip install python-levenshtein
import mne
import pandas as pd
import numpy as np
from scipy.io import loadmat
import matplotlib.pyplot as plt