2torus

import pandas as pd
from datetime import date
from typing import List
from functools import cache
from warnings import warn
import re

MEMBERSHIP_URL = 'https://en.wikipedia.org/wiki/Member_state_of_the_European_Union'
MEMBERSHIP_URL_PERM_LINK = 'https://en.wikipedia.org/w/index.php?title=Member_state_of_the_European_Union&oldid=1184106841'
CANONICAL_WIKI_DATE = date(2023, 11, 11)

2torus

import json
from bokeh.io import output_notebook
from bokeh.plotting import figure, show, ColumnDataSource
from bokeh.models import GeoJSONDataSource
output_notebook()


# If you don't have the file yet
import requests as rq

2torus

(require '[clojure.core.async :refer [chan, go, <!, >!, >!!, <!!]])
;=> nil
(defn print-channel
  [channel-msg in]
  (let [out (chan 1)]
    (go (let [msg (<! in)]
                ((println channel-msg msg)
                 (>! out msg))))
    out
    ))

2torus

# gpu info as a dict
# from https://gist.github.com/takuseno/2958caf1cb5e74314a9b5971999182b2
from subprocess import Popen, PIPE
from xml.etree.ElementTree import fromstring


def nvidia_smi_xml():
    p = Popen(['nvidia-smi', '-q', '-x'], stdout=PIPE)
    outs, errors = p.communicate()
    return fromstring(outs)

2torus

"""
Prints notebook's pid, memory and gpu memory utilization
The code is from https://stackoverflow.com/a/44936664/996379
Also gpu code is from https://gist.github.com/takuseno/2958caf1cb5e74314a9b5971999182b2
Usage:
python monitor_notebooks.py $notebook_token
if token is not supplied, it will prompt you for a token.
"""
import os
import os.path

2torus

from python
RUN pip install pandas > /dev/null
ARG NEW="false"
RUN if [ ${NEW} = "true" ]; then pip install git+https://github.com/2torus/pandas_market_calendars.git@cache-holidays > /dev/null; else pip install pandas_market_calendars==1.4.2 > /dev/null; fi
RUN echo "import pandas as pd \n\
from random import sample, seed \n\
import time \n\
random_dates = pd.date_range('2000-1-1', '2019-1-1', freq='D') \n\
seed(0xDEED) \n\
random_dates = sample(random_dates.to_list(), 101) \n\

2torus

-module(ex2_18).
-export([double/1, filter/1, median/1, modes/1]).

% tail recursive solutions, so they need reverse
% there is probably a library function for that.
reverse([], S) -> S;
reverse([X|Xs], S) -> reverse(Xs, [X|S]).

double(X) -> reverse(double(X,[]), []).
double([], L) -> L;

2torus

-module(ex2_15).
-export([prod/1, prod_tail/1, maxx/1, max_tail/1]).

prod([]) -> 1;
prod([X|Xs]) -> X * prod(Xs).

prod_tail(X) -> prod_tail(X, 1).

prod_tail([], P) -> P;
prod_tail([X|Xs], P) -> prod_tail(Xs, X * P).

2torus

-module(ex2).
-export([max_three/3, how_many_equal/3, how_many_equal_test/0, xor1/2, xor2/2, xor3/2]).



xor1(true, B) ->
       not B;
xor1(_, B) ->
	B.

2torus

-module(first).
-export([double/1, treble/1, square/1,perimeter/3, area/3]).

mult(X, Y) ->
	X * Y.
double(X) ->
	mult(2,X).
treble(X) ->
	mult(3, X).
square(X) ->