The Thrill of the Game: Basketball A League Serbia
Welcome to the exhilarating world of Basketball A League Serbia, where every game is a spectacle of skill, strategy, and suspense. This premier basketball league is a battleground for the best teams in Serbia, each vying for glory and the ultimate title. Our platform brings you fresh matches updated daily, complete with expert betting predictions to enhance your viewing experience. Whether you're a seasoned fan or new to the sport, our content is designed to keep you informed and engaged.
Understanding Basketball A League Serbia
Basketball A League Serbia is not just a league; it's a celebration of basketball culture in Serbia. With a rich history and passionate fanbase, the league showcases some of the most talented players in the region. Teams compete fiercely throughout the season, making every match a thrilling encounter.
The league operates on a professional level, with each team bringing unique strategies and star players to the court. The season is divided into regular and playoff phases, culminating in an intense battle for the championship. Fans can look forward to high-scoring games, nail-biting finishes, and unforgettable moments.
Why Follow Basketball A League Serbia?
- Top-tier Talent: The league features some of Serbia's best players who have honed their skills both domestically and internationally.
- Dramatic Matches: Each game is packed with excitement, from buzzer-beaters to strategic masterclasses.
- Passionate Fans: The support from fans creates an electrifying atmosphere that enhances the game experience.
- Professionalism: With high standards of play and organization, the league is a testament to Serbian basketball's growth.
Expert Betting Predictions: Your Guide to Winning Bets
For those who enjoy placing bets on matches, our expert predictions provide valuable insights to help you make informed decisions. Our analysts use a combination of statistical analysis, player performance data, and historical trends to offer predictions that increase your chances of winning.
- Statistical Analysis: We delve into detailed statistics to identify patterns and potential outcomes.
- Player Performance: Understanding key player performances can be crucial in predicting match results.
- Historical Trends: Past performances and head-to-head records are considered to provide a comprehensive prediction.
Daily Updates: Never Miss a Moment
Stay ahead of the game with our daily updates. Every day brings new matches, and we ensure you have all the information you need at your fingertips. From live scores to post-match analyses, our platform keeps you connected to every dribble and dunk.
- Live Scores: Follow the action as it happens with real-time score updates.
- Match Analyses: Gain insights from expert breakdowns of key moments and strategies used during games.
- Schedule Updates: Keep track of upcoming matches with our detailed schedule information.
In-Depth Team Profiles
Get to know the teams competing in Basketball A League Serbia through our comprehensive profiles. Each profile includes detailed information about team rosters, coaching staff, recent performances, and more. This helps fans understand team dynamics and anticipate how they might perform in upcoming matches.
- Roster Details: Learn about the players who make up each team and their roles on the court.
- Captain Insights: Discover the leadership qualities of team captains and their influence on team performance.
- Coverage of Recent Games: Read about how teams have fared in recent matches and what that means for their future games.
The Role of Strategy in Basketball A League Serbia
Strategy plays a pivotal role in determining the outcome of matches in Basketball A League Serbia. Coaches meticulously plan their tactics to exploit opponents' weaknesses while strengthening their own team's strengths. Understanding these strategies can provide fans with deeper insights into the game.
- Tactical Formations: Explore how different formations impact gameplay and match outcomes.
- In-Game Adjustments: Learn about how coaches make real-time decisions that can change the course of a game.
- Predictive Analysis: See how strategic planning influences betting predictions and match expectations.
Fan Engagement: Be Part of the Action
Fans are an integral part of Basketball A League Serbia's vibrant culture. Engage with other fans through forums, social media discussions, and live events. Share your passion for basketball and connect with like-minded individuals who share your enthusiasm for the game.
- Social Media Interaction: Join conversations on platforms like Twitter and Facebook to discuss matches and predictions.
- Fan Forums: Participate in online forums dedicated to discussing league developments and sharing opinions.
- Livestream Events: Attend live-streamed events to experience games as if you were there in person.
Daily Match Predictions: Your Go-To Resource
Our daily match predictions are crafted by experts who analyze every aspect of upcoming games. From player form to weather conditions affecting outdoor courts, we consider all variables that could influence the outcome. This comprehensive approach ensures that our predictions are as accurate as possible.
The Stars of Basketball A League Serbia
In any sports league, individual players often become household names due to their exceptional skills and contributions to their teams. In Basketball A League Serbia, several players have made significant impacts both on and off the court. These athletes are not only known for their prowess but also for their dedication to improving Serbian basketball globally.
Betting Strategies for Success
<|repo_name|>jjschorn/benchmarks<|file_sep|>/src/benchmarks/IntegerRing.hs
{-# LANGUAGE BangPatterns #-}
module Benchmarks.IntegerRing (benchmarks) where
import Criterion.Main
import Data.Array.MArray (MArray)
import qualified Data.Array.MArray as MArray
import qualified Data.Array.Unboxed as UArray
import Data.Array.Base (unsafeRead)
import Data.Array.Unboxed.Base (unsafeWrite)
import qualified Data.Vector.Unboxed.Mutable as VU
import qualified Data.Vector.Unboxed as VU
import qualified Data.Vector.Storable.Mutable as VS
import qualified Data.Vector.Storable as VS
type IntArr = UArray.UArray Int Int
type MutableIntArr = MArray MArray.IO IntArr
type MutableVectorInt = VU.MVector VU.Int
type VectorInt = VU.Vector VU.Int
type MutableVectorStorableInt = VS.MVector VS.Storable Int
type VectorStorableInt = VS.Vector VS.Storable Int
benchmarks :: [Benchmark]
benchmarks =
[ bgroup "IntegerRing"
[ bgroup "primitive" primitiveBenchmarks
, bgroup "array" arrayBenchmarks
, bgroup "vector" vectorBenchmarks
]
]
primitiveBenchmarks :: [Benchmark]
primitiveBenchmarks =
[ bench "prims1" $ nf prims1 1000000
, bench "prims10" $ nf prims10 1000000
, bench "prims100" $ nf prims100 1000000
]
arrayBenchmarks :: [Benchmark]
arrayBenchmarks =
[ bench "array1" $ nfIO array1 1000000
, bench "array10" $ nfIO array10 1000000
, bench "array100" $ nfIO array100 1000000
]
vectorBenchmarks :: [Benchmark]
vectorBenchmarks =
[ bench "vector1" $ nfIO vector1 1000000
, bench "vector10" $ nfIO vector10 1000000
, bench "vector100" $ nfIO vector100 1000000
]
-- | O(n^3)
prims1 :: Int -> Int
prims1 n =
let f x y z = x + y + z in go f n n n n where go _ i j k !z | i <= j && j <= k = z + go _ (i+1) (j+1) (k+1) (z+1)
| otherwise = z
-- | O(n^3 / log n)
prims10 :: Int -> Int
prims10 n =
let f x y z = x + y + z in go f n n n n where go _ i j k !z | i <= j && j <= k = z + go _ (i+10) (j+10) (k+10) (z+1)
| i <= j && j > k = z + go _ (i+10) (j+10) j (z+1)
| i > j = z + go _ (i+10) i k (z+1)
-- | O(n^3 / log^2 n)
prims100 :: Int -> Int
prims100 n =
let f x y z = x + y + z in go f n n n n where go _ i j k !z | i <= j && j <= k = z + go _ (i+100) (j+100) (k+100) (z+1)
| i <= j && j > k = z + go _ (i+100) (j+100) j (z+1)
| i > j && i <= k = z + go _ (i+100) i k (z+1)
| otherwise = z
array1 :: Int -> IO ()
array1 len =
let arrLen = len * len * len in do arr <- UArray.listArray (0,arrLen-1) [0..arrLen-1] :: IO IntArr;
run arr len len len len where run arr !i !j !k !z | i <= j && j <= k = run arr (i+1) (j+1) (k+1) (z+unsafeRead arr k)
| otherwise = return ()
array10 :: Int -> IO ()
array10 len =
let arrLen = len * len * len in do arr <- UArray.listArray (0,arrLen-1) [0..arrLen-1] :: IO IntArr;
run arr len len len len where run arr !i !j !k !z | i <= j && j <= k = run arr (i+10) (j+10) (k+10) (z+unsafeRead arr k)
| i <= j && j > k = run arr (i+10) (j+10) j (z+unsafeRead arr k)
| i > j = run arr (i+10) i k (z+unsafeRead arr k)
array100 :: Int -> IO ()
array100 len =
let arrLen = len * len * len in do arr <- UArray.listArray (0,arrLen-1) [0..arrLen-1] :: IO IntArr;
run arr len len len len where run arr !i !j !k !z | i <= j && j <= k = run arr (i+100) (j+100) (k+100) (z+unsafeRead arr k)
| i <= j && j > k = run arr (i+100) (j+100) j (z+unsafeRead arr k)
| i > j && i <= k = run arr (i+100) i k (z+unsafeRead arr k)
vector1 :: Int -> IO ()
vector1 len =
let vecLen = len * len * len in do vec <- VU.thaw $ VU.enumFromN 0 vecLen;
run vec vecLen vecLen vecLen vecLen where run vec !i !j !k !z | i <= j && j <= k = run vec ((i `quot` vecLen)*vecLen+(i `rem` vecLen)+vecLen*vecLen*vecLen-vecLen*vecLen+(j `rem` vecLen)+vecLen*(k `rem` vecLen)) ((j `quot` vecLen)*vecLen+(j `rem` vecLen)+vecLen*vecLen*vecLen-vecLen*vecLen+(k `rem` vecLen)) ((k `quot` vecLen)*vecLen+(k `rem` vecLen)) ((z `quot` vecLen)*vecLen+(z `rem` vecLen)+1)
| otherwise = return ()
vector10 :: Int -> IO ()
vector10 len =
let vecLen = len * len * len in do vec <- VU.thaw $ VU.enumFromN 0 vecLen;
run vec vecLen vecLen vecLen vecLen where run vec !i !j !k !z | i <= j && j <= k = run vec ((i `quot` vecLen)*vecLen+(i `rem` vecLen)+vecLen*vecLen*vecLen-vecLens*vecLens+(j `rem` vecLens)+vecLens*(k `rem` vecLens)) ((j `quot` vecLens)*vecLens+(j `rem` vecLens)+vecLens*vecLens*vecLens-vecLens*vecLens+(k `rem` vecLens)) ((k `quot` vecLens)*vecLens+(k `rem` vecLens)) ((z `quot` vecLens)*vecLens+(z `rem` vecLens)+1)
| i <= j && j > k = run vec ((i `quot` vecLens)*vecLens+(i `rem` vecLens)+vecLens*vecLens*vecLens-vecLens*vecLens+(j `rem` vecLens)+vecLens*(j `rem` vecLens)) ((j `quot` vecLens)*vecLens+(j `rem` vecLens)+vecLens*vecLens*vecLens-vecLens*vecLens+(j `rem` vecLens)) ((k `quot` vecLens)*vecLens+(k `rem` vecLens)) ((z `quot` vecLems)*veclens+(z `rem` veclens)+1)
| otherwise = return ()
vector100 :: Int -> IO ()
vector100 len =
let veclen = len * len * len in do veclen <- VU.thaw $ VU.enumFromN 0 veclen;
run veclen veclen veclen veclen where run veclen !i !j !k !z | i <= j && j <= k = run veclen ((i `quot` veclen)*veclen+(i `rem` veclen)+veclens*veclens*veclens-veclens*veclens+(j `rem` veclens)+veclens*(k `rem` veclens)) ((j `quot` veclens)*veclens+(j `rem` veclens)+veclens*veclens*veclens-veclens*veclens+(k `rem` veclens)) ((k quot veclens)*veclens+(k rem veclens)) ((z quot veclens)*veclens+(z rem veclens)+1)
| i <= j && j > k = run veclen ((i quot veclens)*veclens+(i rem veclens)+veclsels*veclsels*vecsles-vecsels*vecsels+(j rem veclsels)+(vecsels*(vecsels))) ((j quot vceles)*(vecsels)+(vceles rem vceles)+(vceles*vceles*vceles)-(vceles*vceles)+(vceles rem vceles)) ((vceles quot vceles)*(vceles)+(vceles rem vceles)) ((zs quot vceles)*(vceles)+(zs rem vceles)+1)
| otherwise = return ()
<|repo_name|>jjschorn/benchmarks<|file_sep|>/README.md
# benchmarks
## IntegerRing benchmark
Here's what I get on my machine:
bash
$ cabal install criterion vector array --lib --only-dependencies --enable-benchmarks --force-reinstalls
Resolving dependencies...
Downloading base-4.12.0.0...
Configuring base-4.12.0.0...
Building base-4.12.0.0...
... skipped ...
Building array-vector-vector-storable-vector-unboxed-vector-unboxed-array-vector-vector-storable-array-vector-vector-unboxed-benchmarks-benchmark...
Installing array-vector-vector-storable-vector-unboxed-vector-unboxed-array-vector-vector-storable-array-vector-vector-unboxed-benchmarks-benchmark...
Installed array-vector-vector-storable-vector-unboxed-vector-unboxed-array-vector-vector-storable-array-vector-vector-unboxed-benchmarks-benchmark-0.7
cabal: warning: ignoring unknown flag --force-reinstalls
$ cabal configure --enable-benchmarks
Configuring array-vector-vector-storable-vector-unboxed-vector-unboxed-array-vector-vector-storable-array-vector-vector-unboxed-benchmarks-benchmark-0.7...
$ cabal build
Building array-vector-vector-storable