mamelara

essdive-appstack on  issue_123_metacat_logrotate via 🅒 base
➜ ./build.sh metacat 2.12.3-p52
********************************
* Docker Image 'metacat' Build  *
********************************
****************************
BUILDING image_version
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commit_count:  53
commit_hash:   f82d333

mamelara

def worker(ctx: object, heartbeat_interval_param: int, custom_log_dir: str,
           custom_job_log_dir_name: str, pool_name_param: str, dry_run: bool,
           slurm_job_id_param: int, worker_type_param: str, cluster_name_param: str,
           worker_clone_time_rate_param: float, num_workers_per_node_param: int,
           worker_id_param: str, charging_account_param: str,
           num_nodes_to_request_param: int, num_cores_to_request_param: int,
           constraint_param: str, mem_per_node_to_request_param: str,
           mem_per_cpu_to_request_param: str,
           qos_param: str, job_time_to_request_param: str) -> int:

mamelara

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

population = pd.read_csv("https://raw.githubusercontent.com/genomicsclass/dagdata/master/inst/extdata/femaleMiceWeights.csv")

control = population[population["Diet"] == "chow"]
treatment = population[population["Diet"] == "hf"]

obs = treatment["Bodyweight"].mean() - control["Bodyweight"].mean()

mamelara

Keybase proof

I hereby claim:

• I am mamelara on github.
• I am mamelara (https://keybase.io/mamelara) on keybase.
• I have a public key ASDWQ4zAPAPEafw4QKo4brgio2C_BkDQUDSCKLuC46LyFAo

To claim this, I am signing this object:

mamelara

/******************************************************************************
 *  Compilation:  javac Point.java
 *  Execution:    java Point
 *  Dependencies: none
 *  
 *  An immutable data type for points in the plane.
 *  For use on Coursera, Algorithms Part I programming assignment.
 *
 ******************************************************************************/
import java.util.Comparator;

mamelara

import java.util.Arrays;
import java.util.ArrayList;
import edu.princeton.cs.algs4.StdDraw;
import edu.princeton.cs.algs4.StdOut;
import edu.princeton.cs.algs4.StdIn;
import edu.princeton.cs.algs4.In;

public class FastCollinearPoints {
    private int N=0;
    private ArrayList<LineSegment> segments = new ArrayList<LineSegment>();

mamelara

##############################################################################
# Copyright (c) 2013, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Written by Todd Gamblin, [email protected], All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://scalability-llnl.github.io/spack
# Please also see the LICENSE file for our notice and the LGPL.