Voyz

import string
import warnings
from typing import List, Dict

import numpy as np
import pandas as pd


def infer_dtypes(values: List, sample_size: int = 300, stop_after: int = 300):
    """

Voyz

import multiprocessing
import time
from collections import deque


class ThrottleBarrier():
    def __init__(
            self,
            counter: multiprocessing.Value,
            lock: multiprocessing.Lock,

Voyz

import datetime
from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor

from ratelimiter import ThrottleBarrier, CrossProcessesThrottle


def log(*args, **kwargs):
    print(datetime.datetime.now().strftime('[%H:%M:%S]'), *args, **kwargs)

Voyz

def timeseries_vertices(ser:pd.Series, distance=15, coeff=3):

    name = ser.name

    # remove intermediate vertices on lines
    def no_lines(df):
        df.loc[:, 'gt_before'] = df.loc[:, name] > df.loc[:, name].shift(1)
        df.loc[:, 'gt_after'] = df.loc[:, name] > df.loc[:, name].shift(-1)
        df.loc[:, 'is_peak'] = df.loc[:, 'gt_before'] == df.loc[:, 'gt_after']
        df = df.loc[df.loc[:, 'is_peak'], :].copy()

Voyz

[
    {"side": "SELL", "tulips": 15, "tulip_price": 111.5, "transaction_date": "2022-02-01T00:00:00.250000"},
    {"side": "BUY", "tulips": 15, "tulip_price": 107.5, "transaction_date": "2022-02-01T00:30:00.250000"},
    {"side": "BUY", "tulips": 15, "tulip_price": 107, "transaction_date": "2022-02-01T01:30:00.250000"},
    {"side": "SELL", "tulips": 20, "tulip_price": 104.5, "transaction_date": "2022-02-01T02:00:00.250000"},
    {"side": "BUY", "tulips": 10, "tulip_price": 105, "transaction_date": "2022-02-01T02:00:00.250000"},
    {"side": "SELL", "tulips": 15, "tulip_price": 112.5, "transaction_date": "2022-02-01T03:00:00.250000"},
    {"side": "BUY", "tulips": 15, "tulip_price": 111.5, "transaction_date": "2022-02-01T03:30:00.250000"},
    {"side": "SELL", "tulips": 20, "tulip_price": 111.0, "transaction_date": "2022-02-01T04:00:00.250000"},
    {"side": "BUY", "tulips": 15, "tulip_price": 109.5, "transaction_date": "2022-02-01T04:30:00.250000"}

Voyz

FROM python:3.7.7-slim-buster

RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"

RUN mkdir -p /usr/share/man/man1

RUN apt-get update && \
    apt-get install -y default-jre && \
    apt-get -y install dbus-x11 xfonts-base xfonts-100dpi xfonts-75dpi xfonts-cyrillic xfonts-scalable && \

Voyz

TS_DATE_FORMAT_DB_ISO = '%Y-%m-%dT%H:%M:%S,%f'  # comma works for mongodb and is valid ISO

def datetimeindex_to_UTC(_dti):
    dti = _dti.copy(deep=True)
    if 'tz' not in dti or dti.tz is None:
        dti = dti.tz_localize('UTC')
    else:
        dti = dti.tz_convert('UTC')
    dti = dti.dt.strftime(TS_DATE_FORMAT_DB_ISO).astype(str).str.slice(0, -3)
    return dti

Voyz

import csv
import os
from pathlib import Path
from typing import List

from databay import Outlet, Update, Record, Link
from databay.inlets import RandomIntInlet
from databay.outlet import MetadataKey
from databay.outlets import CsvOutlet

Voyz

offset = [thisComp.width, thisComp.height]/2
p1 = thisComp.layer("P1").toComp([0,0]).slice(0,2) - offset
p2 = thisComp.layer("P2").toComp([0,0]).slice(0,2) - offset
t1 = thisComp.layer("T1").toComp([0,0]).slice(0,2) - offset - p1
t2 = thisComp.layer("T2").toComp([0,0]).slice(0,2) - offset - p2

ps = [p1, p2]
in_tangents = [[0,0], t2]
out_tangents = [t1, [0,0]]
createPath(ps, in_tangents, out_tangents, is_closed=false)

Voyz

*** Originally built for my mate Sam as part of our mentoring sessions. See: https://youtu.be/TXoDvTJuEb0 ***

####################
WEATHER FINDER BASIC
####################

Utilise an online weather API to fetch and display current weather information based on the city and country code provided.


###################