Kostiantyn Kudriavtsev mwacc
mwacc
/ segment_com.py
Created
February 20, 2019 05:43
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| from aws_xray_sdk.core import xray_recorder | |
| ##HIDE @xray_recorder.capture('transfer_funds') | |
| def money_transfer(from_acc_id, to_acc_id, value): | |
| ##HIDE xray_recorder.begin_subsegment('lock_funds') | |
| money_locked = enough_and_lock(from_acc_id, value) | |
| ##HIDE xray_recorder.end_subsegment() | |
| if money_locked: | |
| ##HIDE xray_recorder.begin_subsegment('transfer funds via ' + money_locked.payment_gateway) |
mwacc
/ segment.py
Created
February 20, 2019 05:10
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| from aws_xray_sdk.core import xray_recorder | |
| @xray_recorder.capture('transfer_funds') | |
| def money_transfer(from_acc_id, to_acc_id, value): | |
| xray_recorder.begin_subsegment('lock_funds') | |
| money_locked = enough_and_lock(from_acc_id, value) | |
| xray_recorder.end_subsegment() | |
| if money_locked: | |
| xray_recorder.begin_subsegment('transfer funds via ' + money_locked.payment_gateway) |
mwacc
/ decorator.py
Created
February 20, 2019 04:58
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| from aws_xray_sdk.core import xray_recorder | |
| @xray_recorder.capture("get_balance") | |
| def get_balance(user_acc_id): | |
| """ ... """ | |
| ... |
mwacc
/ MyFirstTF.py
Last active
March 27, 2019 22:02
fourth-degree polynomial using Halley's Method.
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| import tensorflow as tf | |
| import numpy as np | |
| print(tf.__version__) | |
| def calc_fx1(fx, x): | |
| return tf.gradients(fx, x)[0] | |
| def calc_fx2(fx, x): | |
| return tf.gradients(tf.gradients(fx, x)[0], x)[0] |
mwacc
/ BigQuery vs Athena vs Redshift Spectrum.ipynb
Created
September 5, 2018 06:06
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mwacc
/ generator.py
Last active
September 4, 2018 20:43
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| import sys | |
| import random | |
| import datetime | |
| TNX_NUM = int(sys.argv[1]) | |
| ACCOUNT_NUM = int(sys.argv[2]) | |
| RATES_NUM = int(sys.argv[3]) | |
| PAR_ID = int(sys.argv[4]) | |
| def get_random(top_limit): |
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| # Spark scala project | |
| mvn archetype:generate -B -DarchetypeGroupId=net.alchim31.maven -DarchetypeArtifactId=scala-archetype-simple -DarchetypeVersion=1.5 -DgroupId=org.apache.spark -DartifactId=<Project name> -Dversion=0.1-SNAPSHOT -Dpackage=org.apache.spark | |
| # flink project | |
| mvn archetype:generate \ | |
| -DarchetypeGroupId=org.apache.flink \ | |
| -DarchetypeArtifactId=flink-quickstart-scala \ | |
| -DarchetypeVersion=0.9.1 \ | |
| -DgroupId=org.apache.flink.quickstart \ | |
| -DartifactId=flink-scala-project \ |
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| library(rmr2) | |
| rmr.options(backend = "local") | |
| #hdfs.init() | |
| lm.map = | |
| function(., line) { | |
| keyval( line[[1]], paste(line[[2]], line[[3]], sep="|")) | |
| } |
mwacc
/ car-analysis.groovy
Created
June 13, 2014 17:46
example of groovy script + selenium webdriver (maven artefact is loaded by anotation)
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| @Grab(group="org.seleniumhq.selenium", module="selenium-java", version="2.42.2") | |
| import org.openqa.selenium.*; | |
| import org.openqa.selenium.chrome.*; | |
| System.setProperty("webdriver.chrome.driver", "/Users/kostya/Downloads/chromedriver"); | |
| ChromeOptions chromeOptions = new ChromeOptions(); | |
| chromeOptions.addArguments("--verbose", "--ignore-certificate-errors"); | |
| WebDriver driver = new ChromeDriver(); |
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| library(ggplot2) | |
| # read dataset from local file | |
| abalone <- read.csv("/Users/kostya/Downloads/abalone.data.csv", header=F) | |
| # set names for dataframe columns | |
| colnames(abalone) <- c('Sex', 'Length', 'Diameter', 'Height', 'WholeWeight', 'ShuckedWeight', | |
| 'VisceraWeight', 'ShellWeight', 'Rings') | |
| # plot histogram |
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