elamdf

### Keybase proof

I hereby claim:

  * I am elamdf on github.
  * I am elamdf (https://keybase.io/elamdf) on keybase.
  * I have a public key ASAuW4YoRtdTGl5sAHSKkyYz7hr7zYnaZreddqYule-8LQo

To claim this, I am signing this object:

elamdf

set -o pipefail
mkdir -p ~/Downloads
cd ~/Downloads
git clone https://github.com/neovim/neovim.git
cd neovim
make CMAKE_EXTRA_FLAGS="-DCMAKE_INSTALL_PREFIX=$HOME/.neovim"
make install
echo "export PATH=$HOME/.neovim/bin:$PATH" >> ~/.bashrc
echo "alias vi=nvim" >> ~/.bashrc
git clone https://github.com/elamdf/nvim.git ~/.config/nvim

elamdf

import pandas as pd
import matplotlib.pyplot as plt

# Load your dataset
data = pd.read_csv('anthroseriationdatafinal.csv')

data['Date of Death'] = pd.to_datetime(data['Date of Death'], errors='coerce') # make misinputs play nice

language_grouped = data.groupby('Which Language used')['Age at Death']
average_age_by_language = language_grouped.mean()

elamdf

unbind C-b
set-option -g prefix C-a
bind-key C-a last-window
set -g default-command $SHELL
bind-key f run-shell "tmux neww tms"

elamdf

import getpass
import subprocess
from typing import List, Optional
import uuid

import sky

# (username, mac addr last 4 chars): for uniquefying users on shared-account
# cloud providers.
_user_and_mac = f'{getpass.getuser()}-{hex(uuid.getnode())[-4:]}'

elamdf

name: resnet-app-storage
workdir: ~/Downloads/tpu

resources:
  cloud: gcp
  accelerators: V100:1

num_nodes: 1
file_mounts:
  ~/.aws/credentials: ~/.aws/credentials

elamdf

name: resnet-app-storage
workdir: ~/Downloads/tpu
# THE TPU FOLDER MUST CONTAIN sky.sh (seen below)
resources:
  cloud: gcp
  accelerators: V100:1

num_nodes: 1

file_mounts:

elamdf

name: resnet-app-storage
workdir: ~/Downloads/tpu

resources:
  cloud: gcp
  # instance_type: p3.2xlarge
  instance_type: n1-highmem-8


# storage: List[sky.Storage]

elamdf

#!/bin/bash

if [ $# -eq 0 ]; then 
	cache=0 
else
	if [ $1 -eq 1 ]; then 
		cache=1
	else
		cache=0
	fi

elamdf

#!/bin/python3
from os import walk
from os.path import exists
import os
import subprocess
from subprocess import run, PIPE
from timeit import timeit
import csv
from datetime import datetime
import pickle