meysampg

rules = [
  DisableSyntax
]

DisableSyntax.noVars = true
DisableSyntax.noNulls = true
DisableSyntax.noReturns = true
DisableSyntax.noAsInstanceOf = true
DisableSyntax.noIsInstanceOf = true
DisableSyntax.noXml = true

meysampg

iconv -f WINDOWS-1256 -t UTF8 in.srt > out.srt

meysampg

docker volume create --driver local --name=pga4volume

docker run -d --publish 5050:80 \                
  --volume=pga4volume:/var/lib/pgadmin \
  --env-file=env \
  --name=pgadmin4 dpage/pgadmin4

meysampg

from matplotlib import pyplot as plt
from numpy import sin, linspace

plt.xkcd()  # Yes...
plt.plot(sin(linspace(0, 10)))
plt.title('Always there is some chances... but!!! huuum')

meysampg

// algorithms from php version of https://jdf.scr.ir/download/
package cal

import (
	"log"
	"strconv"
	"strings"
	"time"

	"github.com/jalaali/go-jalaali"

meysampg

FILTER="-3" # newer that 3 days
FILTER="3" created on 3 days ago
FILTER="+3" # older than 3 days

FOLDER="." # current directory

find $FOLDER -mtime $FITLER -type d -exec rm -rf {} \;

meysampg

// Delete All topics
for i in $(kafka-topics --list --zookeeper=zookeeper:2181); do kafka-topics --zookeeper=zookeeper:2181 --delete --topic $i; done

// Consume a topic messages
kafka-console-consumer --bootstrap-server broker:9092 --topic processes --from-beginning

// Create a topic
kafka-topics --zookeeper zookeeper:2181 --create --topic <T> --partitions 8 --replication-factor 1

// Read offsets information of a topic

meysampg

session_window_seconds = 1800000

my_window = Window.partitionBy('unique_column').orderBy('unique_column','time_column')

df = df.withColumn('sid', F.lit(None))
df = df.withColumn('sid', F.when((df.unique_column == F.lag('unique_column').over(my_window)) & (df.time_column - F.lag('time_column').over(my_window) <= session_window), F.lag('sid').over(my_window)).otherwise(F.monotonically_increasing_id()))
df = df.withColumn('sid', F.when((df.unique_column == F.lag('unique_column').over(my_window)) & (df.time_column - F.lag('time_column').over(my_window) <= session_window), F.last('sid', ignorenulls = True).over(my_window)).otherwise(df.sid))

meysampg

import logging
from pympler import muppy, summary

def mem_leak():
    all_objects = muppy.get_objects()
    sum1 = summary.summarize(all_objects)
    logging.debug("\n" + "\n".join(list(summary.format_(sum1))))

meysampg

export $(echo "BFN_query_timeout_seconds" | tr -t "[:lower:]" "[:upper:]")=5