Louis FRULEUX bluesheeptoken

## README.md

      
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                bluesheeptoken
                / README.md
            
            
              Created
              October 26, 2023 13:03
            
              
                sublime-text build for Scala-cli
              
          
    To create this new build-system,

go to Tools > Build System > New Build System...
copy paste build definition below
Either install the package ANSIescape to see ansi colors, or remove the target and syntax key
Enjoy


## proba_simulation_dice_forge.py
import random


p = 1/6
nb_roll = 4
nb_simulation = 10_000
nb_sucess = 0

for _ in range(nb_simulation):
    if any(random.random() < p for _ in range(nb_roll)):

## change_spark_version.py
"""
Small script to change Apache Spark version in all the modules.
It has been tested against Spark 3.0.1
We used it to rebuild Spark against different versions of the dependencies
"""
import os


def main():
    old_version = "3.0.1"

## MeanAggregatorUdaf.scala
import org.apache.spark.sql.Encoder
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.expressions.{Aggregator, UserDefinedFunction}
import org.apache.spark.sql.functions._

case class AggregatorState(sum: Long, count: Long)

// Aggregator[IN, BUF, OUT]
val meanAggregator = new Aggregator[Long, AggregatorState, Double]() {
    // Initialize your buffer
	import random


	p = 1/6
	nb_roll = 4
	nb_simulation = 10_000
	nb_sucess = 0

	for _ in range(nb_simulation):
	if any(random.random() < p for _ in range(nb_roll)):
	"""
	Small script to change Apache Spark version in all the modules.
	It has been tested against Spark 3.0.1
	We used it to rebuild Spark against different versions of the dependencies
	"""
	import os


	def main():
	old_version = "3.0.1"
	import org.apache.spark.sql.Encoder
	import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
	import org.apache.spark.sql.expressions.{Aggregator, UserDefinedFunction}
	import org.apache.spark.sql.functions._

	case class AggregatorState(sum: Long, count: Long)

	// Aggregator[IN, BUF, OUT]
	val meanAggregator = new Aggregator[Long, AggregatorState, Double]() {
	// Initialize your buffer