Max Halford MaxHalford

## annuairechambresdhotes.com.py
import requests
from bs4 import BeautifulSoup
from PIL import Image
import pytesseract
from io import BytesIO
from dataclasses import dataclass
from tqdm import tqdm

@dataclass
class Ad:

## 11_bananas.ipynb

      
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                MaxHalford
                / 11_bananas.ipynb
            
            
              Last active
              January 25, 2023 00:54
            
              
                Tree experiments
              
          
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## dataset.csv

          
            date
            kilowatt-hour
            n_hosts
            n_guests
            temperature

            
              2022-01-01
              2.171
              0.0
              0.0
              7.875000000000028

            
              2022-01-02
              10.31
              0.0
              0.5
              8.787500000000023

            
              2022-01-03
              16.107
              0.0
              1.0
              8.35000000000003

            
              2022-01-04
              16.563
              0.0
              1.0
              9.250000000000014

            
              2022-01-05
              17.098
              0.0
              1.0
              5.700000000000024

            
              2022-01-06
              18.76
              0.0
              1.0
              2.950000000000024

            
              2022-01-07
              20.853
              0.0
              1.0
              3.2500000000000284

            
              2022-01-08
              19.548
              0.0
              1.0
              8.887500000000031

            
              2022-01-09
              20.81
              0.0
              1.0
              8.72500000000003

## munge.py
import pandas as pd

cards = pd.read_csv('archive/hearthstone_standard_cards.csv')
cards['multiClassIds'] = cards['multiClassIds'].map(eval)
cards = cards.explode('multiClassIds')
cards['multiClassIds'] = cards['multiClassIds'].fillna(cards['classId'])

classes = pd.read_csv('archive/metadata/classes.csv', index_col='id')
cards['class'] = cards['multiClassIds'].map(classes['name'])

## profiles.yml
project:
  outputs:
    prod:
      type: duckdb
      path: /tmp/project.duckdb
  target: prod

## distance.html
<!DOCTYPE html>

<script src="https://unpkg.com/vue@3/dist/vue.global.js"></script>

<div id="app">
    <div class="grid-container">
        <button class="grid-item" v-for="key in keys" @click="click(key[0], key[1])">
            {{ key[2] }}
        </button>
    </div>

## merge.py
import itertools

def merge_components(cs):
    while True:
        for (i, a), (j, b) in itertools.combinations(enumerate(cs), 2):
            if a[0] == b[0]:
                a[1].extend(b[1])
                del cs[j]
                break
        else:

## abbyy.py
import urllib.parse
import requests
import time
import xml.dom.minidom

def get_abbyy_transcription(doc, app, password):

    proxies = {}

    url_params = {

## poisson.py
import math
import random

def poisson(l, rng=random):
    """From https://www.johndcook.com/blog/2010/06/14/generating-poisson-random-values/"""

    L = math.exp(-l)
    k = 0
    p = 1


## tree.py
"""Generic branch and leaf implementation."""
import operator
import textwrap
import typing


class Op:
    """An operator that is part of a split."""

    __slots__ = "symbol", "func"
	import requests
	from bs4 import BeautifulSoup
	from PIL import Image
	import pytesseract
	from io import BytesIO
	from dataclasses import dataclass
	from tqdm import tqdm

	@dataclass
	class Ad:
date	kilowatt-hour	n_hosts	n_guests	temperature
2022-01-01	2.171	0.0	0.0	7.875000000000028
2022-01-02	10.31	0.0	0.5	8.787500000000023
2022-01-03	16.107	0.0	1.0	8.35000000000003
2022-01-04	16.563	0.0	1.0	9.250000000000014
2022-01-05	17.098	0.0	1.0	5.700000000000024
2022-01-06	18.76	0.0	1.0	2.950000000000024
2022-01-07	20.853	0.0	1.0	3.2500000000000284
2022-01-08	19.548	0.0	1.0	8.887500000000031
2022-01-09	20.81	0.0	1.0	8.72500000000003
	import pandas as pd

	cards = pd.read_csv('archive/hearthstone_standard_cards.csv')
	cards['multiClassIds'] = cards['multiClassIds'].map(eval)
	cards = cards.explode('multiClassIds')
	cards['multiClassIds'] = cards['multiClassIds'].fillna(cards['classId'])

	classes = pd.read_csv('archive/metadata/classes.csv', index_col='id')
	cards['class'] = cards['multiClassIds'].map(classes['name'])
	project:
	outputs:
	prod:
	type: duckdb
	path: /tmp/project.duckdb
	target: prod
	<!DOCTYPE html>

	<script src="https://unpkg.com/vue@3/dist/vue.global.js"></script>

	<div id="app">
	<div class="grid-container">
	<button class="grid-item" v-for="key in keys" @click="click(key[0], key[1])">
	{{ key[2] }}
	</button>
	</div>
	import itertools

	def merge_components(cs):
	while True:
	for (i, a), (j, b) in itertools.combinations(enumerate(cs), 2):
	if a[0] == b[0]:
	a[1].extend(b[1])
	del cs[j]
	break
	else:
	import urllib.parse
	import requests
	import time
	import xml.dom.minidom

	def get_abbyy_transcription(doc, app, password):

	proxies = {}

	url_params = {
	import math
	import random

	def poisson(l, rng=random):
	"""From https://www.johndcook.com/blog/2010/06/14/generating-poisson-random-values/"""

	L = math.exp(-l)
	k = 0
	p = 1
	"""Generic branch and leaf implementation."""
	import operator
	import textwrap
	import typing


	class Op:
	"""An operator that is part of a split."""

	__slots__ = "symbol", "func"