ayorgo

from math import log


def abbreviate(value, base=1000, precision=2, suffixes=None):
    if suffixes is None:
        suffixes = ['', 'K', 'M', 'B', 'T']

    if value == 0:
        return f'{0}{suffixes[0]}'

ayorgo

from typing import List
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from timeit import repeat
from multiprocessing import Pool, cpu_count

def time_inline(function: str, *arg) -> float:
    stmt = f'{function}(*{arg})'
    return min(repeat(stmt, repeat=5, number=1, globals=globals()))

ayorgo

from typing import List
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from memory_profiler import memory_usage
from multiprocessing import Pool, cpu_count
import gc

def mem_inline(function, *arg) -> float:
    return memory_usage(proc=(function, arg), max_usage=True)#[0]

ayorgo

# Interesting way of calling pip from inside python
# Source: https://colab.research.google.com/github/cleanlab/cleanlab-docs/blob/master/v2.4.0/tutorials/datalab/tabular.ipynb
if "google.colab" in str(get_ipython()):  # Check if it's running in Google Colab
    %pip install cleanlab==v2.4.0
    cmd = ' '.join([dep for dep in dependencies if dep != "cleanlab"])
    %pip install $cmd