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| from .base import Base | |
| import re | |
| import pandas as pd | |
| from pyspark.sql import DataFrame | |
| from functools import reduce | |
| class Base(object): | |
| def __init__(self, spark, host=None, port=None, database=None, username=None, password=None): | |
| self._spark = spark | |
| self._host = host |
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| import json | |
| import cv2 | |
| import mediapipe as mp | |
| import redis | |
| mp_drawing = mp.solutions.drawing_utils | |
| mp_drawing_styles = mp.solutions.drawing_styles | |
| mp_hands = mp.solutions.hands |
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| import bpy | |
| import redis | |
| import json | |
| r = redis.StrictRedis(host='localhost', port=6380, db=0) | |
| last1 = None | |
| last2 = None | |
| def worker(): |
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| import random | |
| import dash | |
| from dash import html, ClientsideFunction, Output, Input | |
| import dash_bootstrap_components as dbc | |
| app = dash.Dash(__name__) | |
| app.config.external_stylesheets = ["https://epsi95.github.io/dash-draggable-css-scipt/dragula.css"] | |
| app.config.external_scripts = ["https://cdnjs.cloudflare.com/ajax/libs/dragula/3.7.2/dragula.min.js", |
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| class Flask: | |
| def __init__(self, import_name): | |
| self.import_name = import_name | |
| self.route_mapping = {} # empty dict to store all the route mapping | |
| def route(self, route_name): # parameterized decorator | |
| def wrapper(view_func): | |
| self.route_mapping[route_name] = view_func | |
| return view_func # here we are just returning the original function not modifying it | |
| return wrapper |
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| import 'package:flutter/material.dart'; | |
| import 'package:wormmovementanimation/worm_animation_button.dart'; | |
| void main() { | |
| runApp(MyApp()); | |
| } | |
| class MyApp extends StatelessWidget { | |
| void buttonPressed(String buttonName) { | |
| print('$buttonName is pressed!'); |
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| CustomAnimation( | |
| tween: Tween(begin: 0.0, end: (_screenWidth * 0.8) / 2), | |
| duration: widget.animationDuration, | |
| curve: Curves.easeOut, | |
| control: _control, | |
| builder: (context, child, value) { | |
| return Padding( | |
| padding: EdgeInsets.only(left: value), | |
| child: Container( | |
| width: value <= ((_screenWidth * 0.8) / 2) / 2 |
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| import 'dart:math'; | |
| import 'package:linalg/linalg.dart'; | |
| List calculatePolynomialRegression(List input, List predictionFor) { | |
| // calculate polynomial regression of degree 2 | |
| if (input.length == 0) { | |
| return input; | |
| } else { | |
| int sizeOfInput = input.length; |
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| from confluent_kafka import Consumer, KafkaError | |
| import logging | |
| import sys | |
| import json | |
| import datetime | |
| logging.basicConfig(format='%(process)d >> %(asctime)s - %(message)s', level=logging.INFO) | |
| settings = { | |
| 'bootstrap.servers': 'localhost:9092', |
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