Скорее всего уже слышали, что складывать строки через + это плохая практика. Падение производительности, и всё такое. Без лишних слов, давайте измерять:
from timeit import timeit
def t1():
# складываем 10 строк через + из переменной
t = 'text'
for _ in range(1000):
s = t + t + t + t + t + t + t + t + t
def t2():
# склеиваем список строк через метод join
arr = ['text'] * 10
for _ in range(1000):
s = ''.join(arr)
def t3():
# складываем через + но не из переменной а непосредственно инлайн объекты
for _ in range(1000):
s = 'text' + 'text' + 'text' + ... # всего 10 раз
Теперь каждую строку склейки запустим по 10М раз
>>> timeit(t1, number=10000)
0.21951690399964718
>>> timeit(t2, number=10000)
1.4978306379998685
>>> timeit(t3, number=10000)
0.2213820789993406
Хм, а нам говорили что через "+" это плохо и медленно ))) 😁
Тут стоит учитывать, что речь идёт о склейке множества длинных строк.
Давайте изменим условия:
def t4():
t = 'text'*100
for _ in range(1000):
s = t + t + t + t + t + t + t + t + t
def t5():
arr = ['text'*100] * 10
for _ in range(1000):
s = ''.join(arr)
def t6():
for _ in range(1000):
s = 'text'*100 + 'text'*100 + ... # всего 10 раз
>>> timeit(t4, number=10000)
12.795130728000004
>>> timeit(t5, number=10000)
2.642637542999182
>>> timeit(t6, number=10000)
0.2184546610005782
Вот, уже другой разговор, сразу видна разница, в среднем в 6 раз. Но погодите, почему последний тест t6() по скорости такой же как и t3()? Ведь строки теперь в 100 раз длиннее!
Это вопросы оптимизации кода, какие простые изменения ускоряют или замедляют выполнение программы. Мы столкнулись с примером обхода обращения к переменной. Например, именно так работает директива #define в С++, во время компиляции подставляя значение переменной вместо ссылки на неё.
В Python это тоже работает, но часто ли вы сможете встретить такой способ работы со строками? К сожалению, способ почти только теоретический.
В целом, тесты показали то, что мы хотели. Делаем выводы самостоятельно.
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Despite $LIT continuing to drop, a whale has deposited $10M $USDC into #Lighter and is hedging on it.
The whale opened a $LIT short position with 5x leverage and spent $2.2M to buy 1.059M $LIT at $2.08 on spot and still holds $2.788M $USDC and is likely to buy more.
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https://x.com/OnchainLens/status/2010947308557660544
Follow @onchainlens for more onchain updates
A 7-day-old wallet deposited $2M $USDC into #Lighter to increase its LIT size.
In the past 7 days, the whale deposited $4M $USDC and bought 1,285,010 $LIT for $3.8M at a price of $2.96 and still has $193,717 $USDC left to buy more.
https://app.lighter.xyz/explorer/accounts/0x0b4a2c0757cDfDF88039baa6bE9A4677560105B1
https://x.com/OnchainLens/status/2008788217492107762
Follow @onchainlens for more onchain updates
A whale sold 52.1 $WBTC ($4.86M), deposited $3.36M $USDC into #Lighter, and bought 1,119,001 $LIT at a price of $3.
https://app.lighter.xyz/explorer/accounts/0x793918C6f668E5C4283a0FD64d57046588a10b5a
https://x.com/OnchainLens/status/2008212416006680740
Follow @onchainlens for more onchain updates
A newly created wallet deposited $2.89M $USDC into #Lighter and bought 991,458 $LIT at a price of $2.92.
Address: 0x51bec3e10335c687eedf2db7d532c2d9769df201
https://x.com/OnchainLens/status/2008203056740225183
Follow @onchainlens for more onchain updates
Jez (@izebel_eth) deposited $908,412 $USDC into #Lighter to buy more $LIT.
Currently, Jez holds 1,109,196 $LIT, valued at $2.8M, in 2 of the wallets.
https://app.lighter.xyz/explorer/accounts/0xf78310Ed6641e6c4E221E9d676440aC8645d3afE
https://app.lighter.xyz/explorer/accounts/0xaa7577a7A27aa7FcF6d0eC481B87Df3aD0F6a88E
https://x.com/OnchainLens/status/2007370788966674808
Follow @onchainlens for more onchain updates
A whale deposited $4.03M $USDC into #Lighter and spent $3.8M to buy 1.63M $LIT at a price of $2.33. The wallet still holds 227,099 $USDC, likely to buy more. https://app.lighter.xyz/explorer/accounts/0xFb94D3404c1d3D9D6F08f79e58041d5EA95AccfA https://x…
A whale deposited $4.03M $USDC into #Lighter and spent $3.8M to buy 1.63M $LIT at a price of $2.33.
The wallet still holds 227,099 $USDC, likely to buy more.
https://app.lighter.xyz/explorer/accounts/0xFb94D3404c1d3D9D6F08f79e58041d5EA95AccfA
https://x.com/OnchainLens/status/2006183303637000315
Follow @onchainlens for more onchain updates
Since Telegram announced #Lighter integration in its app,
a #Hyperliquid whale didn’t wait.
He dumped 12.2K $HYPE ($449.1K), placed another 10.4K $HYPE ($386K) as a sell order, and withdrew $1.26M $USDC today.
Notably, he had already closed his multi-million dollar $HYPE longs right after the April 3 announcement.
Lifetime PnL: $1.72M+
Does he know something we don’t, or is this just another wrong FOMO trade?
https://app.coinmarketman.com/hypertracker/wallet/0x89abe626dc7f010138bc08e0100f1e4e13c30d32
https://x.com/OnchainLens/status/2041344975301190049
Follow @onchainlens for more onchain updates
A whale named "Einstein" on Debank withdrew $3M $USDC from #Lighter, deposited it into #HyperLiquid, and bought 90,780 $HYPE at $33.05.
https://app.coinmarketman.com/hypertracker/wallet/0xc7Bfd896cc6A8BF1D09486Dd08f590691b20C2Ff
https://x.com/OnchainLens/status/2016365523882356870
Follow @onchainlens for more onchain updates
A whale deposited $1.8M $USDC into #HyperLiquid and opened a $LIT long position with 3x leverage.
The whale also holds a $BTC short position on #Lighter, with 50x leverage valued at over $17M.
https://app.coinmarketman.com/hypertracker/wallet/0xA71d664F7899Dbe4aC768C1b162c4c5610e978AA
https://x.com/OnchainLens/status/2005427685103931676
Follow @onchainlens for more onchain updates.