I hereby claim:
- I am abronte on github.
- I am adambronte (https://keybase.io/adambronte) on keybase.
- I have a public key ASA51USwCT7mo5Tzsdsll-IGrNyI-UD_CNd3CDjN7p7MFwo
To claim this, I am signing this object:
| import time | |
| from datetime import datetime | |
| if __name__ == "__main__": | |
| while True: | |
| print(datetime.now()) | |
| time.sleep(1) |
| #!/usr/bin/env bash | |
| shopt -s extglob | |
| set -o errtrace | |
| set -o errexit | |
| set -o pipefail | |
| echo "running" | |
| echo $MY_VAR |
| #!/usr/bin/env bash | |
| # check if semgrep is installed | |
| if ! command -v semgrep &> /dev/null | |
| then | |
| echo "semgrep could not be found" | |
| exit | |
| fi | |
| # check if snyk is installed |
| #!/usr/bin/env bash | |
| shopt -s extglob | |
| set -o errtrace | |
| set -o errexit | |
| set -o pipefail | |
| echo "running script" | |
| while read line |
| from pyspark_gateway import PysparkGateway | |
| pg = PysparkGateway() | |
| from pyspark import SparkContext, SparkConf | |
| conf = conf.set('spark.io.encryption.enabled', 'true') | |
| sc = SparkContext(gateway=pg.gateway, conf=conf) | |
| spark = SparkSession.builder.getOrCreate() | |
| df = spark.read.parquet('hdfs://data/my_table.parquet') |
| from pyspark_gateway import PysparkGateway | |
| pg = PysparkGateway() | |
| from pyspark import SparkContext, SparkConf | |
| conf = conf.set('spark.io.encryption.enabled', 'true') | |
| sc = SparkContext(gateway=pg.gateway, conf=conf) |
| from datachute import DataChute | |
| ds = DataChute('d131dd02c5e6eec4') | |
| df.send('my_project', 'some data') |
I hereby claim:
To claim this, I am signing this object:
| require 'liblinear' | |
| # reference | |
| # games = {1 => "csgo", 2 => "dota2", 3 => "hearthstone", 4 => "minecraft", 5 => "starcraft"} | |
| # Setting parameters | |
| param = Liblinear::Parameter.new | |
| param.solver_type = Liblinear::L2R_LR | |
| label_ids = {} |
| # create_dataset.rb | |
| require 'opencv' | |
| def hist(file) | |
| iplimg = OpenCV::IplImage.decode_image(open(file).read) | |
| b, g, r = iplimg.split | |
| dim = 3 | |
| sizes = [8,8,8] | |
| ranges = [[0, 255],[0, 255],[0, 255]] |