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import numpy as np | |
from typing import Text, List, TypeVar, Generic, Protocol | |
T = TypeVar('T') | |
@dataclass | |
class ItemPotential(Protocol): | |
item_id: Text | |
gmv_eur: float |
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<html> | |
<head> | |
<script src="https://unpkg.com/axios/dist/axios.min.js"></script> | |
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous"> | |
</head> | |
<body> | |
<table class="table"> | |
<thead> | |
<th>id</th> | |
<th>email</th> |
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class Mom: | |
def on_door_opened(self): | |
print("Who's there?") | |
class Priest: | |
def on_door_opened(self): | |
print("Is it police? Run!") | |
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from ahocorapy.keywordtree import KeywordTree | |
digit2letter = { | |
0: ["#"], | |
1: ["#"], | |
2: ['a', 'b', 'c'], | |
3: ['d', 'e', 'f'], | |
4: ['g', 'h', 'i'], | |
5: ['j', 'k', 'l'], |
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from ahocorapy.keywordtree import KeywordTree | |
digit2letter = { | |
1: [], | |
2: ['a', 'b', 'c'], | |
3: ['d', 'e', 'f'], | |
4: ['g', 'h', 'i'], | |
5: ['j', 'k', 'l'], | |
6: ['m', 'n', 'o'], |
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import tensorflow as tf | |
import numpy as np | |
import random | |
# neural network predicting if input hour is 21:37 | |
# network created with layers of size: [73 21] | |
# because of small number of neurons if may take few tries to read good results (around 0.98 accuracy) | |
X, y = [], [] | |
for _ in range(10000): |
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import os | |
def adjust_directory(directory_path): | |
def adjust_file(file_path): | |
lines = open(file_path).read().split('\n') | |
scale = 0.1 | |
with open(file_path, "w") as output_file: | |
for line in lines: | |
if line.startswith("v "): | |
splited = line.split(' ') | |
splited[1] = str(round(float(splited[1]) * scale, 5)-0.5) |
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from pynput import keyboard | |
import pyperclip | |
current = {"tags":[]} | |
def on_press(key): | |
global current | |
try: k = key.char # single-char keys | |
except: k = key.name # other keys |
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from pynput import keyboard | |
import pyperclip | |
current = {"tags":[]} | |
def on_press(key): | |
global current | |
try: k = key.char # single-char keys | |
except: k = key.name # other keys |
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set smartindent " TODO | |
set tabstop=4 | |
set shiftwidth=4 | |
set expandtab " TODO | |
set encoding=utf-8 | |
set completeopt=menuone,longest " TODO | |
set number " Displays line number | |
set autochdir | |
set clipboard=unnamedplus |
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