josepsmartinez

import bs4

source_path = "annotations_source.xml"
output_xml_path = "annotations_out.xml"

LABELS = [
    "no-category", "valid", "non-centered", "occluded", "spoof",
    "rotated", "blurred"]

josepsmartinez

#!/bin/bash

# In case of simple logging
complex_command && echo "Success" >> log.txt || echo "Failure" >> log.txt

# In case of complex command chaining
complex_command
if [ $? -ne 0]; then
  success_complex_command  # this command could fail as well 
  # its exit code can be treated in a nested manner by testing $? again

josepsmartinez

#!/bin/bash

# Adapted from (https://unix.stackexchange.com/a/269080/388950)

no_sudo_func () {
    apt update
}

F=$(declare -f no_sudo_func)
sudo bash -c "$F; no_sudo_func"

josepsmartinez

#!/bin/bash

PATH_TO_GCLOUD=/snap/bin/google-cloud-sdk.gcloud

${PATH_TO_GCLOUD} $@ --tunnel-through-iap

josepsmartinez

import numpy as np

class OnlineStatsCompute():
    def __init__(self, *l):
        if len(l) > 0:
            self.add_l(*l)

    def add_e(self, e):
        """Includes a single element `e` in the OnlineStatsCompute.
        Updates attributes `N` and `mean`.

josepsmartinez

def foo():
    """<FUNCTION DESCRIPTION>
    <BLANK LINE>
    Parameters
    ----------
    <VARIABLE> : <TYPE>
        <DESCRIPTION>
    ...
    <BLANK LINE>
    Returns

josepsmartinez

#!/bin/bash

# Configs
chmod 700 $HOME/.ssh
chmod 644 $HOME/.ssh/authorized_keys
chmod 644 $HOME/.ssh/known_hosts
chmod 644 $HOME/.ssh/config

# Keys
chmod 600 $HOME/.ssh/id_rsa

josepsmartinez

#!/bin/bash
# For Ubuntu 20 (reference: https://rstudio.com/products/rstudio/download-server/debian-ubuntu/ accessed at Thu 04 Mar 2021 12:39:05 PM -03)

sudo apt-get install r-base
sudo apt-get install gdebi-core

cd /tmp
# Server
# wget https://download2.rstudio.org/server/bionic/amd64/rstudio-server-1.4.1106-amd64.deb
# sudo gdebi rstudio-server-1.4.1106-amd64.deb

josepsmartinez

def foo(a,
    b,
    *,  # arguments after `*` should be named when calling function
    c):
    print(f"a: {a}")
    print(f"b: {b}")
    print(f"c: {c}")
try:
    foo(1, 2, 3)
except TypeError as e:

josepsmartinez

import numpy as np
import pandas as pd
from sklearn.svm import OneClassSVM
from sklearn.ensemble import IsolationForest
from sklearn.model_selection import KFold
from sklearn.metrics import accuracy_score

def df2np(df, dtype=np.float64):
    return df.to_numpy().astype(dtype)