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なまえ:フィリップ レネー | |
ドイツでいちばんきれいな町:ハイデルベルク | |
みなさん、こんにちは。 | |
これから、私の町についてはなします。 | |
私の町はハイデルベルクです。 | |
ゆうめいで、とてもふるいですから、たくさんの人がここにきます。 | |
それから、人はハイデルベルクじょうをみます。 |
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from typing import List | |
class Solution: | |
def bruteforce_distances(self, arr: List[int]) -> List[int]: | |
distances = [0]*len(arr) | |
for i, a in enumerate(arr): | |
distance = 0 | |
for a_ in arr: | |
distance += abs(a - a_) |
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import numpy as np | |
import torch | |
""" | |
w* = \argmin_{w\in R^L} \delta_\Delta(w) + \frac12 (w-v)^T H (w-v) | |
where H is diagonal (represented as array) | |
""" | |
def scaled_proj(v, H): | |
N, L = v.size() | |
Hv = H * v |
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from pcards import Deck, Card | |
from itertools import chain, combinations | |
from joblib import Parallel, delayed | |
import multiprocessing | |
from statistics import mean | |
# https://docs.python.org/2.7/library/itertools.html#recipes | |
def powerset(iterable): | |
"powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,2,3)" | |
s = list(iterable) |
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DOPE RAP | |
Retrogott - esmusssosein (“it’s necessary”) https://www.youtube.com/watch?v=rVEcnfS0Dx4 | |
JAW - Arztbesuch (Doctor Appointment) https://www.youtube.com/watch?v=KEJDy2U7h90 | |
Kram aus der Ecke - ID https://youtu.be/J5jpR5QGYlk?t=31m | |
Mase - Der Spliffmeister https://www.youtube.com/watch?v=AVa9aQqLCcs | |
Advanced Chemistry - Fremd im eigenen Land (from my home town Heidelberg, first commercial german rap track) https://www.youtube.com/watch?v=iL6tzhvF8_c | |
Stieber Twins (also really old) https://www.youtube.com/watch?v=o6jcwo1dOD0 | |
Aohroe - Ruhrpott State of Mind (if you know NAS - NY State of mind its VERY nice, he copied 100% the flow) https://www.youtube.com/watch?v=xgP8N_HfXAc | |
Scarf Face - Broke aber High https://www.youtube.com/watch?v=r8d7_Il-7Do | |
2zg - 8 kurze: https://www.youtube.com/watch?v=lozZ7p--2dI |
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-- Running sum partitioned by customer and month with some formatting | |
with months(n, name) as ( | |
values (1, 'January'), (2, 'February'), (3, 'March'), (4, 'April'), (5, 'May'), (6, 'June'), (7, 'July'), (8, 'August'), (9, 'September'), (10, 'October'), (11, 'November'), (12, 'December') | |
) | |
select c_name, (select name from months where n = extract(month from o_orderdate)) as month, o_orderdate, sum(o_totalprice) over ( | |
partition by o_custkey, extract(month from o_orderdate) | |
order by o_orderdate | |
) / 1000000.0 || ' Mio' | |
from orders, customer | |
where customer.c_custkey = orders.o_custkey |
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/* | |
-- Correlated Query | |
select sum(l_extendedprice) / 7.0 as avg_yearly | |
from lineitem, part | |
where p_partkey = l_partkey | |
and p_brand = 'Brand#23' | |
and p_container = 'MED BOX' | |
and l_quantity < ( | |
select 0.2 * avg(l_quantity) from lineitem where l_partkey = p_partkey | |
) |
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with recursive numbers(n) as ( | |
select n | |
from generate_series(1,5000) s(n) | |
), | |
prim(n, step) as ( | |
select numbers.n, 2 | |
from numbers | |
union | |
select prim.n, prim.step + 1 | |
from prim |
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with recursive | |
-- all friends into one direction | |
friends (a, b) as ( | |
values('Alice','Bob'), ('Alice','Carol'), ('Carol','Grace'), | |
('Carol','Chuck'), ('Chuck','Grace'),('Chuck','Anne'), | |
('Bob','Dan'),('Dan','Anne'),('Eve','Adam') | |
), | |
-- all friendships into both directions | |
friendship (name, friend) as ( | |
select a, b |
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/* | |
select count(o_orderkey) | |
from orders o1 | |
where o_totalprice < ( | |
select avg(o_totalprice) from orders o2 where o2.o_shippriority = o1.o_shippriority or o2.o_orderstatus = o1.o_orderstatus | |
) | |
Result: 788047 | |
*/ |
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